Robots, Testing and LAST
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The document discusses the scientific method approach to software testing. It explains that scientific testing involves forming hypotheses, designing experiments to test those hypotheses, and observing and interpreting the results. The document then provides an example of using this approach to test a toy called Big Trak Jnr to discover what the X2 button does. It emphasizes that good testing requires asking questions, thinking critically about the testing process, and guarding against confirmation bias during experimentation and evaluation.
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1) The document provides instructions for students to review and practice homework assignments through the MyLabsPlus system.
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3) To review a homework assignment, students click on the homework link and select the assignment from the list, taking note of the due date after which scores cannot be changed. They then choose whether to practice with the option to improve their scores before the due date, or just practice without changing scores.
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Join our Webinar to learn how a top tier manufacturer transformed their ability to deliver high quality projects, faster, by adapting their load testing to fit an agile development approach.
In this webinar you’ll learn:
Why you need to think differently about performance testing in an agile development environment
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This document discusses how cognitive biases can cause testers to miss bugs and provides strategies to overcome these biases. It explains that testers make judgments using both fast, intuitive System 1 thinking and slower, deliberate System 2 thinking. Common cognitive biases like representative bias, confirmation bias, and inattentional blindness are described as well as how they can influence testing. The document recommends techniques like exploratory testing to leverage more intuitive System 1 thinking and find bugs. It suggests test managers foster an environment where testers are comfortable using more subjective thinking and the QA profession shifts focus from requirements coverage to risk-based exploratory testing.
Scientific Research Steps Part 2
This document outlines the steps of the scientific research method and experimental design process. It discusses:
1. Defining the research question and formulating a hypothesis.
2. Designing an experiment to test the hypothesis, including identifying variables, controls, and repeated trials.
3. Collecting and analyzing data from experiments to interpret results and determine if they prove or disprove the original hypothesis.
4. Publishing findings so other scientists can review and potentially replicate the research.
The key steps are formulating a research problem and hypothesis, designing a controlled experiment to test the hypothesis through measurable data collection and analysis, and communicating results. The overall goal is to advance scientific understanding through this systematic process.
Dare to Explore: Discover ET!
Gain a deeper understanding of what Exploratory Testing (ET) is, the essential elements of the practice with practical tips and techniques, and finally, ideas for integrating ET into the cadence of an agile process
Test-Driven Development
This document summarizes notes from Kent Beck's book "TDD by Example" on test-driven development (TDD). It outlines the core principles of TDD, including writing tests first before code and eliminating duplication. It also describes techniques like red-green-refactor cycles where tests are written to fail initially ("red"), made to pass ("green"), and then code is refactored. The document provides examples of applying TDD to a money conversion problem and discusses patterns for testing, refactoring, and overcoming fears that arise during the process.
Test Strategy-The real silver bullet in testing by Matthew Eakin
This document provides an overview of creating a testing strategy. It begins with explaining why a testing strategy is important, as testing accounts for a large portion of IT budgets. It then discusses the key questions a testing strategy should answer: what to test, where to test, when to test, how to test, and who will test.
The document outlines a process for creating a testing strategy, including assessing the current state, defining a future vision, and creating a roadmap to get from the current to future state. It provides examples of what to include under each section of the strategy, such as system architecture under "what to test" and test environments under "where to test". Overall, the document provides guidance on developing a
Lean UX principles
This document outlines Lean UX principles and processes. Some key points:
- Lean UX follows principles of design thinking, agile development, and lean startup to improve user experience through cross-functional collaboration, continuous learning and iteration.
- Teams are small, focused on solving one problem at a time through hypothesis-driven experiments rather than predefined features. The goal is to learn from users, not just produce outputs.
- The process involves declaring assumptions, creating minimum viable products to test hypotheses, running experiments to get user feedback, and using insights to iterate quickly through small batches.
- Personas, user stories and features are defined based on the problem statement and assumptions to guide collaborative design and rapid protot
[HCMC STC Jan 2015] Proving Our Worth Quantifying The Value Of Testing
[HCMC STC Jan 2015] Proving Our Worth Quantifying The Value Of TestingHo Chi Minh City Software Testing Club
Ho Chi Minh City Software Testing Conference January 2015
Software Testing in the Agile World
Website: www.hcmc-stc.org
Author: Lee Copeland
Over the years writers have defined testing as a process of finding, a process of evaluating, a process of measuring, a process of improving. For a quarter of a century we as testers have been focused on the internal process of testing, while generally disregarding its real purpose. The real purpose of testing is to create information. James Bach nailed it when he wrote, “The ultimate reason testers exist is to provide information that others on the project use to create things of value.” That is why testing exists — to provide information of value. So, when managers complain that testing “costs too much” perhaps they are really trying to say, “I’m not getting enough valuable information to justify the cost of testing.” When testers say “my management doesn’t see the value in our work” perhaps they are really trying to say, “My management doesn’t value the information I’m providing to them.” To prove our worth, to increase the value of testing, we must first focus on testing’s purpose — providing valuable information — not its process. Join Lee as he discusses why quantifying the value of testing is difficult work — perhaps that’s why we concentrate so much on testing process—that’s much easier. But until we do this difficult work, until we prove our worth through quantifying our contribution, we should expect the bombardments to continue.Pragmatisk softwareinnovation, Ivan Aaen, AAU
This document discusses pragmatic software innovation and value creation in software teams. It advocates for opportunistically pursuing innovation in everyday projects through a learning process across knowledge areas. Pragmatic software innovation involves inquiring into problem domain needs and finding valuable ways to meet those needs. The document presents examples of how means and ends are inseparable and change through iterations as new opportunities and understandings emerge.
Worst practices in software testing by the Testing troll
The document discusses best and worst practices in software testing according to a mythical testing creature called "The Testing Troll".
Some worst practices presented include relying solely on documentation, focusing only on repetitive regression testing of old tests, viewing automation as a replacement for human testers, and strictly following best practices without consideration of context.
The best practices emphasized thinking beyond requirements and oracles, prioritizing regression tests that reveal new information, using automation as a tool to enhance testing abilities rather than replace testers, providing information about potential risks, and being aware of testing context in different situations. The conclusion is that there are no absolute best practices and testers must be skeptical professionals who consider context.
How did i miss that bug rtc
The document discusses how cognitive biases can cause testers to miss bugs. It explains that people have two types of thinking: System 1 thinking is fast, intuitive, and prone to biases, while System 2 thinking is slower, more deliberate, and logical. Common biases that can affect testers include the representative bias, the curse of knowledge, the congruence bias, and the confirmation bias. The document recommends that testers employ more System 1 thinking through techniques like exploratory testing to leverage their intuition to find bugs. It also suggests test managers create an environment where testers feel comfortable using more System 1 thinking approaches.
Intro to TDD
TDD and agile methods originated from attempts to manage large software projects more effectively. TDD involves writing automated tests before code to specify requirements and catch errors early. It helps avoid major redesigns later. Tests should fail initially and then code is written to pass the test, followed by refactoring. Patterns like starting simply, faking dependencies, and generalizing from examples help get code passing tests quickly. Pitfalls include not starting with a failing test or refactoring tests improperly. The session covered TDD history and techniques, with examples and opportunities for further learning.
Introduction to bugs measurement
The document discusses bugs measurement and metrics in software testing. It defines metrics as a distance function that assigns numbers to anything to enable measurement. The document outlines why metrics are important for testers to provide information and support easier decision making. It discusses potential issues with metrics like time waste and wrong conclusions if not implemented properly. The document provides examples of common bug metrics and recommends automating metric collection and regular publishing to address issues.
Help! I need an empirical study for my PhD!
The document provides guidance on conducting empirical research for a PhD study. It discusses defining research questions, choosing appropriate research methods like interviews and surveys, collecting and analyzing data, and iterating on the research design. The speaker emphasizes starting with exploratory qualitative methods like interviews to understand phenomena before employing explanatory quantitative methods such as surveys to evaluate solutions. Examples are provided for combining methods through a multi-phase study.
Lean Startup 301
Aubrey Smith, Sparked Advisory
In this training, we will build on the foundation established in Lean Startup 101 and 201 by delving into examples and cases of the Lean Startup concepts in action. Attendees of Lean Startup 301 will be exposed to cutting edge work from thought leaders and experts using Lean Startup in practice today — at startups and within the enterprise. Participation in this session is essential: You will be asked to help design an MVP and experiment to test critical Leap of Faith Assumption(s) in groups and will be encourage to share experiences. The session is designed to allow attendees to stretch their skills and to push one-another to ‘learn by doing’. The session will also include:
Sample cases and live interviews with practitioners highlighting the application of core concepts;
Exercises designed to bring the concepts to life and challenge participants to deepen their skills;
Discussion of advanced topics such organizational culture and governance as well as industry-specific concepts such as using Lean Startup in heavily regulated markets.
Thanks to Lean Startup Co.’s law firm, Orrick, for being the sponsor for this track.
Metrics in Security Operations
This document discusses the importance of metrics in security operations. It begins by outlining the general approach of defining problems and goals, decomposing problems into parts, establishing processes to manage each part, and measuring effectiveness and efficiency. Several practical examples are then provided: measuring analyst work quality through error rates and rechecks; controlling analyst workload through metrics on alerts and incidents; and improving detection logic by analyzing conversion and contribution rates. The document also discusses visualizing metrics trends over time in areas like analyst availability, alerts in queue, and true positive rates. It emphasizes that metrics require ongoing management and that goals should be translated into measurable KPIs to continuously assess performance.
Learn Learning + Prototype Testing
Slides from a 5/10/2017 talk at the Nasdaq Entrepreneurial Center (@theCenter) about a lean research mindset, the mechanics of learning from users, and the structure of a research prototype test session.
Will Robots Replace Testers?
This talk suggests how we might make sense of the tools landscape of the near future, where the pressure to modernise processes and automate is greatest, and what a new test process supported by tools might look like.
Takeaways:
- We need to take machine learning in testing seriously, but it won’t be taking our jobs just yet
- We don’t need more test automation tools; today we need tools that capture tester knowledge
- Tools that that learn and think can’t work for testers until we solve the knowledge capture challenge.
View On-Demand Webinar: https://youtu.be/EzyUdJFuzlE
Outcome Over Output - And why should we care?
The document discusses the importance of focusing on outcomes over outputs for team performance. It argues that teams perform best when they have a clear, measurable purpose and understand how their work impacts outcomes. This is illustrated through the example of NASA's mission to return Apollo 13's crew safely to Earth. The document advises defining an inspiring outcome-focused problem, establishing baseline metrics and success criteria, and breaking the problem down into sub-problems that each connect to and help achieve the overall outcome. Regularly measuring impacts on outcomes allows teams to prioritize, make data-driven decisions, and stay aligned on a shared vision and purpose.
Defining Test Competence
In this presentation I try to define what test competence is in contrast to what skills a tester needs to be effective.
Building innovative products
Building Innovative Product, DataScience and Beyond.
What is innovation and what is it not ? How to approach it so you succeed ? What about DataScience Projects ?
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Don’t Let Missed Bugs Cause Mayhem in your Organization!
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Test Strategy-The real silver bullet in testing by Matthew Eakin
Test Strategy-The real silver bullet in testing by Matthew Eakin
[HCMC STC Jan 2015] Proving Our Worth Quantifying The Value Of Testing
[HCMC STC Jan 2015] Proving Our Worth Quantifying The Value Of Testing
Worst practices in software testing by the Testing troll
Worst practices in software testing by the Testing troll
More from Anne-Marie Charrett
It takes a village to build a quality product
Quality is everyone's responsibilty can turn into Quality is no-ones responsibility. This talk looks at ways we can look at Quality in contemporary engineering teams
Test Management Revisited ATD2K16
The document discusses the changing role of test managers and the need for test leaders. It argues that test managers promote stability while test leaders press for change. It then provides examples of test strategies like continuous delivery and risk-based automation. It presents a coaching model and emphasizes creating the right environment for teams to thrive. It advocates for pushing decision making down, making work visible, and constantly reinventing and building relationships.
Testing Microservices
Anne-Marie Charrett is Head of Engineering (Testing) at Tyro Payments, which recently acquired a banking license. She discusses testing challenges with microservices architecture and diversifying testing strategies when risks are high. Key points include: (1) microservices allow independent deployment but make testing deployment and data schema changes harder, (2) risk levels depend on system size and understanding, and boundaries are blurred, (3) an effective strategy diversifies tester skills, test data, environments, and focuses on security, performance and deployment testing.
Speak easy diversity
Speak Easy is a voluntary program designed to increase diversity in tech conferences through dedicated conference spots, mentoring and events
Disruptive Testing
How do you adapt your software testing to constant change and chaos? Anne-Marie Charrett uses black swans to help identify how to become more robust.
Testing trapeze-2014-april
This document contains summaries of several articles in the April 2014 issue of Testing Trapeze magazine. It discusses common blind spots that can negatively impact software testers' work, including an obsession with functionality over other quality criteria, not taking time to properly plan tests, failing to notice important details, and letting confirmation bias from requirements limit testing. The editor's introduction welcomes readers and contributors to the second issue.
how to reduce the cost of software testing
This document discusses various ways to reduce the cost of software testing. It suggests focusing on exploratory testing by testers and having developers perform more checking. Testers should take on coaching roles to teach developers how to test. Automation should focus on valuable tests, not just quick tests. Waste should be removed from the testing process. Quality and being done are more important than testing everything. Testing should evaluate products by finding problems rather than just checking functionality.
A story on failure
This document discusses lessons learned from a failed attempt to improve testing capabilities at a company. It describes challenges faced by testers who felt unsupported and not listened to. The culture was identified as a key issue, with testers afraid to speak up or question things. Several assumptions were made, including about roles, abilities, and how the culture was affecting things. It's noted that culture can kill curiosity, and lists some factors that do so. The document concludes with other lessons learned, like reviewing goals regularly, recognizing you can't change culture alone, having a backbone, and being persistent.
Software testing
This document discusses software testing and provides guidance on best practices. It defines software testing as empirically investigating a product to provide stakeholders with quality information. The key aspects of testing discussed are modeling the system, making observations, asking useful questions, using logical reasoning, and taking a process of discovery approach. Testing is distinguished from checking and the importance of test design, exploratory testing, and testability over large automated test suites is emphasized. Credits are given to influential thinkers in the field.
Creating a Context Driven Test Team
Discover the secrets to building a test team ready to handle any situation. That’s what a Context Driven Team does. Because they understand that there is no best practice, that situations inevitably change, a context driven team knows to expect the unexpected and be ready to face what challenges come their way. Like the sound of that? Want your team to be adaptable, flexible and motivated to face the demands of rapid change? Then you need to come to this talk.
A taste of Exploratory Testing
This document provides an overview of exploratory testing. It discusses how exploratory testing involves simultaneous test design, execution, and learning. Exploratory testing is tester-centric and relies on heuristics. The tester explores the product by playing around with different features and inputs, looking for anything unusual. Their testing is guided by mental engagement techniques like alternation and branching. Exploratory testing can involve different levels of documentation and formality. It is focused on revealing new information rather than just confirming existing knowledge.
Agile Testing
The document discusses different types of software testing: manual testing, automated testing, and sapient testing. It states that sapient testing involves modeling, observation, asking useful questions, logical reasoning, and the process of discovery. This type of testing offers thoughtful test design and allows investigators to explore the product.
A Taste of Exploratory Testing
This document provides an overview of exploratory testing techniques. It discusses that exploratory testing involves simultaneous learning, test design, and test execution. Exploratory testing is tester-centric and focuses on problem solving strategies like heuristics rather than scripts. The document dispels some myths about exploratory testing, including that it is unstructured and cannot involve documentation. It provides examples of how documents can be used for reflection, information sharing, and reporting in exploratory testing.
Develop your inner tester
This document provides guidance on developing a tester mindset and strategies for effective testing. It discusses developing an analytical eye for detail and skeptical approach. It emphasizes avoiding confirmation bias by testing to disprove hypotheses rather than just verify them. It also stresses generating new testing ideas by considering different customer models and perspectives. Finally, it discusses prioritizing testing based on risk factors like new features, complexity, critical functions and upstream/downstream dependencies. The overall message is the importance of strategic and logical thinking to structure effective testing.
Exploratory testing workshop
The document summarizes an exploratory testing workshop. It discusses exploratory testing approaches, common traps testers fall into, and provides tips for effective exploratory testing. As an exercise, participants are asked to use exploratory testing to find issues with a Tilted Twister device within 20 minutes. Key problems identified include inability to detect color differences, motor arm overshooting, difficulty turning it on, calibration cube being too big, and taking too long to solve with memory issues. The debrief discusses the testing process and importance of the tester mindset in exploratory and automated testing.
Discovering your inner tester
This document discusses how to develop skills for effective software testing. It emphasizes having a tester mindset of thinking critically, asking useful questions, observing carefully, and recognizing one's own biases. Specific traps to avoid are tunnel vision from bias, focusing too much on context or quantity over quality. A generic risk list and tips for choosing test focus and observation strategies are provided. An example testing mission uses a "Tilted Twister" device to demonstrate test planning, execution and reporting techniques.
Testing a SaaS Platform
Joel Montvelisky is a co-founder and product architect at PractiTest, a QA instructor and consultant. His presentation covers topics related to testing Software as a Service applications, including things that don't need to be tested for SaaS, non-trivial aspects to consider like security and live updates, and leveraging real user data to improve testing. He emphasizes that while SaaS changes the delivery model, customers still expect functionality, stability and performance, and outlines approaches to incorporate feedback from production systems into the testing process.
Startups And Software Testing
This document discusses software testing for startups. It notes that startups focus on big impacts, passion, and challenges over quality. Testing is typically done through beta testing, which provides a cheap solution. However, startups should be informed on benefits of testing and techniques like rapid testing to ensure quality from the start. The document promotes educating startups on software testing and available resources through groups and grants.
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The Python for beginners. This is an advance computer language.
Python language is very important language at this time. we can easily understand this language by these notes.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
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ISPM 15 Heat Treated Wood Stamps and why your shipping must have one
For International shipping and maritime laws all wood must contain the ISPM 15 Stamp. Here is how and why.
Advanced control scheme of doubly fed induction generator for wind turbine us...
This paper describes a speed control device for generating electrical energy on an electricity network based on the doubly fed induction generator (DFIG) used for wind power conversion systems. At first, a double-fed induction generator model was constructed. A control law is formulated to govern the flow of energy between the stator of a DFIG and the energy network using three types of controllers: proportional integral (PI), sliding mode controller (SMC) and second order sliding mode controller (SOSMC). Their different results in terms of power reference tracking, reaction to unexpected speed fluctuations, sensitivity to perturbations, and resilience against machine parameter alterations are compared. MATLAB/Simulink was used to conduct the simulations for the preceding study. Multiple simulations have shown very satisfying results, and the investigations demonstrate the efficacy and power-enhancing capabilities of the suggested control system.
CHINA’S GEO-ECONOMIC OUTREACH IN CENTRAL ASIAN COUNTRIES AND FUTURE PROSPECT
The rivalry between prominent international actors for dominance over Central Asia's hydrocarbon
reserves and the ancient silk trade route, along with China's diplomatic endeavours in the area, has been
referred to as the "New Great Game." This research centres on the power struggle, considering
geopolitical, geostrategic, and geoeconomic variables. Topics including trade, political hegemony, oil
politics, and conventional and nontraditional security are all explored and explained by the researcher.
Using Mackinder's Heartland, Spykman Rimland, and Hegemonic Stability theories, examines China's role
in Central Asia. This study adheres to the empirical epistemological method and has taken care of
objectivity. This study analyze primary and secondary research documents critically to elaborate role of
china’s geo economic outreach in central Asian countries and its future prospect. China is thriving in trade,
pipeline politics, and winning states, according to this study, thanks to important instruments like the
Shanghai Cooperation Organisation and the Belt and Road Economic Initiative. According to this study,
China is seeing significant success in commerce, pipeline politics, and gaining influence on other
governments. This success may be attributed to the effective utilisation of key tools such as the Shanghai
Cooperation Organisation and the Belt and Road Economic Initiative.
Software Engineering and Project Management - Introduction, Modeling Concepts...
Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
International Conference on NLP, Artificial Intelligence, Machine Learning an...
International Conference on NLP, Artificial Intelligence, Machine Learning and Applications (NLAIM 2024) offers a premier global platform for exchanging insights and findings in the theory, methodology, and applications of NLP, Artificial Intelligence, Machine Learning, and their applications. The conference seeks substantial contributions across all key domains of NLP, Artificial Intelligence, Machine Learning, and their practical applications, aiming to foster both theoretical advancements and real-world implementations. With a focus on facilitating collaboration between researchers and practitioners from academia and industry, the conference serves as a nexus for sharing the latest developments in the field.
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Null Bangalore | Pentesters Approach to AWS IAM
#Abstract:
- Learn more about the real-world methods for auditing AWS IAM (Identity and Access Management) as a pentester. So let us proceed with a brief discussion of IAM as well as some typical misconfigurations and their potential exploits in order to reinforce the understanding of IAM security best practices.
- Gain actionable insights into AWS IAM policies and roles, using hands on approach.
#Prerequisites:
- Basic understanding of AWS services and architecture
- Familiarity with cloud security concepts
- Experience using the AWS Management Console or AWS CLI.
- For hands on lab create account on [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
# Scenario Covered:
- Basics of IAM in AWS
- Implementing IAM Policies with Least Privilege to Manage S3 Bucket
- Objective: Create an S3 bucket with least privilege IAM policy and validate access.
- Steps:
- Create S3 bucket.
- Attach least privilege policy to IAM user.
- Validate access.
- Exploiting IAM PassRole Misconfiguration
-Allows a user to pass a specific IAM role to an AWS service (ec2), typically used for service access delegation. Then exploit PassRole Misconfiguration granting unauthorized access to sensitive resources.
- Objective: Demonstrate how a PassRole misconfiguration can grant unauthorized access.
- Steps:
- Allow user to pass IAM role to EC2.
- Exploit misconfiguration for unauthorized access.
- Access sensitive resources.
- Exploiting IAM AssumeRole Misconfiguration with Overly Permissive Role
- An overly permissive IAM role configuration can lead to privilege escalation by creating a role with administrative privileges and allow a user to assume this role.
- Objective: Show how overly permissive IAM roles can lead to privilege escalation.
- Steps:
- Create role with administrative privileges.
- Allow user to assume the role.
- Perform administrative actions.
- Differentiation between PassRole vs AssumeRole
Try at [killercoda.com](https://killercoda.com/cloudsecurity-scenario/)
Unit-III-ELECTROCHEMICAL STORAGE DEVICES.ppt
Batteries -Introduction – Types of Batteries – discharging and charging of battery - characteristics of battery –battery rating- various tests on battery- – Primary battery: silver button cell- Secondary battery :Ni-Cd battery-modern battery: lithium ion battery-maintenance of batteries-choices of batteries for electric vehicle applications.
Fuel Cells: Introduction- importance and classification of fuel cells - description, principle, components, applications of fuel cells: H2-O2 fuel cell, alkaline fuel cell, molten carbonate fuel cell and direct methanol fuel cells.
哪里办理(csu毕业证书)查尔斯特大学毕业证硕士学历原版一模一样
原版一模一样【微信：741003700 】【(csu毕业证书)查尔斯特大学毕业证硕士学历】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
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3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
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Redefining brain tumor segmentation: a cutting-edge convolutional neural netw...
Medical image analysis has witnessed significant advancements with deep learning techniques. In the domain of brain tumor segmentation, the ability to
precisely delineate tumor boundaries from magnetic resonance imaging (MRI)
scans holds profound implications for diagnosis. This study presents an ensemble convolutional neural network (CNN) with transfer learning, integrating
the state-of-the-art Deeplabv3+ architecture with the ResNet18 backbone. The
model is rigorously trained and evaluated, exhibiting remarkable performance
metrics, including an impressive global accuracy of 99.286%, a high-class accuracy of 82.191%, a mean intersection over union (IoU) of 79.900%, a weighted
IoU of 98.620%, and a Boundary F1 (BF) score of 83.303%. Notably, a detailed comparative analysis with existing methods showcases the superiority of
our proposed model. These findings underscore the model’s competence in precise brain tumor localization, underscoring its potential to revolutionize medical
image analysis and enhance healthcare outcomes. This research paves the way
for future exploration and optimization of advanced CNN models in medical
imaging, emphasizing addressing false positives and resource efficiency.
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
AT MBB AIRPORT
原版制作(Humboldt毕业证书)柏林大学毕业证学位证一模一样
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本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问微bwp0011
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留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
AI assisted telemedicine KIOSK for Rural India.pptx
It gives the overall description of SIH problem statement " AI assisted telemedicine KIOSK for Rural India".
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Robots, Testing and LAST
- 1. The Science of Software Testing @charrett
- 4. Scientific Method Formulate hypothesis design, run & interpret experiments that bear on this hypothesis
- 5. • CM : Clear Memory • Forward: 1 or 2 digit number e.g 10 • Back : 1 or 2 digit number • Rotate Left: 1 or 2 digit number e.g 15 • Rotate Right 1 or 2 digit number e.g 15 • Fire: 1 or 2 digit number • Go: Executes the program Commands
- 6. Big Trak Jnr Discover what the X2 Button does
- 7. Challenge Formulate your hypothesis on what the X2 button does Design a program, execute it and observe the devices behaviour, How does the outcome relate to the hypothesis? Terminate the process when you have discovered what the X2 button does Afterwards we will debrief and discuss
- 8. You can ask me any questions
- 10. What does x2 do? • x2 is also known as the repeat key • x2 requires a numeric parameter (n). • x2 can only be used once in a program • x2 has no effect on instructions following its location in the program
- 11. What does X2 do? N repeats the entire program
- 12. Possible Hypothesis • One repeat of the last n steps • N repeats of the last step • One repeat of the first n steps • One repeat of the nth step • One repeat of the entire program • One repeat of the last step
- 13. Observations
- 14. Exploring Science • Tests can be easy to construct and easily observable, but don’t offer much information. • Knowing where to look & Understand what is seen • Experimental design: design of experimental and observational procedures • Hypothesis formation: formation and evaluation of theory • Confirmation Bias:“Tendency for people to seek evidence to verify their hypothesis rather than refute them”
- 15. Science & Testing • Testing requires we ask useful questions, challenge assumptions • Testing is more about acquiring information than pass/fail • Testing is about thinking critically about why we test, how we test and how we evaluate. • Testing like experiments requires good test design • Testing like experimentation requires good observational design • Watch out for Confirmation Bias • Don’t conflate Testing with Checking
- 16. Suggestions • Don’t plan all your tests upfront, you need to be able to react to the information you find • Automated Checking good for confirmation • Exploratory Testing allows us to investigate the product • Focus on Testability rather than large automated regression suites • Testability in creating test data • Helping to recognise problems
- 17. Thank you & Tyro Payments for sponsoring me