FunkR-pDAE: Personalized Project Recommendation Using Deep Learning
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Over 7 years of experience in mixed-methods research across all stages of the research lifecycle from project design to data analysis and reporting. Special emphasis on exploratory research, developing novel metrics for user engagement, and visualizing results for stakeholders. Experienced developer of custom software for supporting original user research and data analysis.
Knowledge and Data Engineering IEEE 2015 ProjectsVijay Karan
List of Knowledge and Data Engineering IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Knowledge and Data Engineering for the year 2015
A talk presented to the US Networking and Information Technology Research and Development (NITRD) Program's High End Computing Interagency Working Group, 16 January 2020
PhD thesis defense.
This manuscript describes a methodology designed and implemented to realise the recommendation of vocabularies based on the content of a given website. The goal of the proposed approach is to generate vocabularies by reusing existing schemas. The automatic recommendation helps to leverage websites to self-described web entities in the Web of Data; understandable by both humans and machines. In this direction, the implemented approach is wrapped within a broader methodology of turning a website in a machine understandable node by using technologies that have been developed in the scope of the Semantic Web vision. Transforming a website to a machine understandable entity is the first step required by the websites side in order to narrow the gap with web agents and enable the structured content consumption without the need of implementing an Application Programming Interface (API) that would provide read-write functionality. The motivation of the thesis stems from the fact that the data provided via an API is already presented on the corresponding website in most of the cases.
Over 7 years of experience in mixed-methods research across all stages of the research lifecycle from project design to data analysis and reporting. Special emphasis on exploratory research, developing novel metrics for user engagement, and visualizing results for stakeholders. Experienced developer of custom software for supporting original user research and data analysis.
Knowledge and Data Engineering IEEE 2015 ProjectsVijay Karan
List of Knowledge and Data Engineering IEEE 2015 Projects. It Contains the IEEE Projects in the Domain Knowledge and Data Engineering for the year 2015
A talk presented to the US Networking and Information Technology Research and Development (NITRD) Program's High End Computing Interagency Working Group, 16 January 2020
PhD thesis defense.
This manuscript describes a methodology designed and implemented to realise the recommendation of vocabularies based on the content of a given website. The goal of the proposed approach is to generate vocabularies by reusing existing schemas. The automatic recommendation helps to leverage websites to self-described web entities in the Web of Data; understandable by both humans and machines. In this direction, the implemented approach is wrapped within a broader methodology of turning a website in a machine understandable node by using technologies that have been developed in the scope of the Semantic Web vision. Transforming a website to a machine understandable entity is the first step required by the websites side in order to narrow the gap with web agents and enable the structured content consumption without the need of implementing an Application Programming Interface (API) that would provide read-write functionality. The motivation of the thesis stems from the fact that the data provided via an API is already presented on the corresponding website in most of the cases.
A SURVEY PAPER ON EXTRACTION OF OPINION WORD AND OPINION TARGET FROM ONLINE R...ijiert bestjournal
Opinion mining is nothing but mining opinion target s and opinion words from online reviews. To find op inion relation among them partially supervised word align ment model have used. To find confidence of each candidate graph based co-ranking algorithm have used. Further candidates having confidence higher than threshold value are extracted as opinion word or opinion targets. Compa red to previous approach syntax-based method this m ethod can give correct results by eliminating parsing errors and can work on reviews in informal language. Compa red to nearest neighbor method this method can give more p recise results and can find relations within a long span. Also to decrease error propagation graph based co-r anking algorithm is used to collectively extract op inion targets and opinion words. Also to decrease probability of error generation penetration of high degree vertice s is done and decrease effect of random walk.
What is the Easiest Way to Hire a React Developer?BOSC Tech Labs
Explore the streamlined approach to hiring a React developer with Bosc Tech Labs. Our guide simplifies the process, ensuring you connect with top-tier React talent effortlessly. Start building your dynamic team today!
How to find a Java developer for a successful projectriyak40
It requires a great deal of preparation, sourcing, screening, and selling to find the top Java developer. However, if you take the time up front to precisely outline the requirements of the project, carefully screen applicants, and offer competitive pay, you will be well on your way to assembling a capable development team for the project's successful completion.
Agile Software Development Practices: Perceptions & Project DataChristoph Matthies
Talk on agile software development practices and their relationship to team members perceptions, held at the 2020 Software Engineering (SE) conference, organized by the Gesellschaft für Informatik (GI), 24-28 Feb 2020 in Innsbruck, Austria. Conference website: https://se20.ocg.at/
Paper :
C. Matthies, J. Huegle, T. Dürschmid, and R. Teusner, “Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices,” in Software Engineering 2020, M. Felderer, W. Hasselbring, R. Rabiser, and R. Jung, Eds., Bonn: Gesellschaft für Informatik e.V., 2020, pp. 73–74. doi: 10.18420/SE2020_20 (CC BY-SA 4.0)
[Online] available: https://dl.gi.de/handle/20.500.12116/31697
Engaging Information Professionals in the Process of Authoritative Interlinki...Lucy McKenna
Through the use of Linked Data (LD), Libraries, Archives and Museums (LAMs) have the potential to expose their collections to a larger audience and to allow for more efficient user searches. Despite this, relatively few LAMs have invested in LD projects and the majority of these display limited interlinking across datasets and institutions. A survey was conducted to understand Information Professionals' (IPs') position with regards to LD, with a particular focus on the interlinking problem. The survey was completed by 185 librarians, archivists, metadata cataloguers and researchers. Results indicated that, when interlinking, IPs find the process of ontology and property selection to be particularly challenging, and LD tooling to be technologically complex and unsuitable for their needs.
Our research is focused on developing an authoritative interlinking framework for LAMs with a view to increasing IP engagement in the linking process. Our framework will provide a set of standards to facilitate IPs in the selection of link types, specifically when linking local resources to authorities. The framework will include guidelines for authority, ontology and property selection, and for adding provenance data. A user-interface will be developed which will direct IPs through the resource interlinking process as per our framework. Although there are existing tools in this domain, our framework differs in that it will be designed with the needs and expertise of IPs in mind. This will be achieved by involving IPs in the design and evaluation of the framework. A mock-up of the interface has already been tested and adjustments have been made based on results. We are currently working on developing a minimal viable product so as to allow for further testing of the framework. We will present our updated framework, interface, and proposed interlinking solutions.
Philippe Krief, Eclipse Foundation Research Relations Director explains how the Crossminer H2020 project outcomes can help software developers to select the right open source components for their own project This presentation was recorded during the OSS Projects Assesment Session at OW2con'19, June 12, 2019 in Paris.
X api chinese cop monthly meeting feb.2016Jessie Chuang
Topics
XAPI Vocabulary spec. From ADL
Linked Data / Semantic web. / Web 3.0
Linked Data in education and content recommender
Semantic search and Google Knowledge Graph
APIs eat software (connect with partners and services)
How should we exploit data and build intelligence layer?
Case Study (Hong Ding Educational Technology)
Monetize your data and add value (intelligence)
…Locate, Collate and Aggregate - JISC CETIS Conference, Nottingham 2010. A little bit about several projects I ran for JISC to release and then help the discovery of Open Educational Resources. Unfortunately due to the shutting of the HEA Subject Centres the search tool is no longer available.
Most notably the presentation includes work on "Date of Birth" codes (DOBs) as a way to track the use and reuse of OERS
Java Web Application Project Titles 2023-2024.
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
Java Application Projects 2023 - 2024
Java Web Application Project Titles
E-Authentication System using QR Code and OTP
Student Attendance System Using QR-Code
Hall Ticket Generation System with Integrated QR Code
Certificate Authentication System using QR Code
QR Code-based Smart Vehicle Parking Management System
Employee Attendance System using QR Code
QR Code based Secure Online Voting System
QR Code Based Smart Online Student Attendance System
Cyber Security Projects
Detecting Malicious Facebook Applications
Detection of Bullying Messages in Social Media
Enhanced Secure Login System using Captcha as Graphical Passwords
Filtering Unwanted Messages in Online Social Networking User walls
Secure Online Transaction System with Cryptography
Detecting Mobile Malicious Webpages in Real Time
Credit Card Fraud Detection in Online Shopping System
Enhanced Data Security with Onion Encryption and Key Rotation
Detection of Offensive Messages in Social Media to Protect Online Safety
Healthcare Projects
Diabetes Prediction using Data Mining in Healthcare Management System
Online Hospital Management System
Online Oxygen Management System
Enhanced Hospital Admission System to Mitigate Crowding
Online Parking Booking System
E-Pass Management System | Curfew e-pass management system
Online Tender Management System
Online Toll Gate Management System
Online Election System
Panchayat Union Automation System
Smart City Project - A Complete City Guide Using Database
Visa Processing Management System
Cricket Win Predictor using Machine Learning
College Management System
Online college Counselling system
Online No Dues Management System
Online Student Mentoring System
Online Tuition Management System
Bike Store Management System
Computer Inventory System
Distilled Water Management System
Donation Tracking System | Online Charity Management System
Online Bug Tracking System
Online Content Based Image Retrieval System with Ranking Model
Online Crime File Management System
Online Courier Management System
Online Blood Bank Management System
Online Secure Organ Donation Management System
Connecting Social Media to E-Commerce
Twitter Based Tweet Summarization
Mental Disorders Detection via Online Social Media Mining
Detecting Stress Based on Social Interactions in Social Networks
Knowledge Sharing Based Online Social Network with Question and Answering System
Predicting Suicide Intuition in Online Social Network
Predicting Emotions of User in Online Social Network
Employee Payroll Management System
Human Resource Management System
Online Employee Tracking System
College Admission Predictor
Online Book Recommendation System
Personalized Movie Recommendation System
Product Recommendation System in Online Social Network
Mining Online Product Evaluation System based on Ratings and Review Comments
Online Book Buying and Selling
A SURVEY PAPER ON EXTRACTION OF OPINION WORD AND OPINION TARGET FROM ONLINE R...ijiert bestjournal
Opinion mining is nothing but mining opinion target s and opinion words from online reviews. To find op inion relation among them partially supervised word align ment model have used. To find confidence of each candidate graph based co-ranking algorithm have used. Further candidates having confidence higher than threshold value are extracted as opinion word or opinion targets. Compa red to previous approach syntax-based method this m ethod can give correct results by eliminating parsing errors and can work on reviews in informal language. Compa red to nearest neighbor method this method can give more p recise results and can find relations within a long span. Also to decrease error propagation graph based co-r anking algorithm is used to collectively extract op inion targets and opinion words. Also to decrease probability of error generation penetration of high degree vertice s is done and decrease effect of random walk.
What is the Easiest Way to Hire a React Developer?BOSC Tech Labs
Explore the streamlined approach to hiring a React developer with Bosc Tech Labs. Our guide simplifies the process, ensuring you connect with top-tier React talent effortlessly. Start building your dynamic team today!
How to find a Java developer for a successful projectriyak40
It requires a great deal of preparation, sourcing, screening, and selling to find the top Java developer. However, if you take the time up front to precisely outline the requirements of the project, carefully screen applicants, and offer competitive pay, you will be well on your way to assembling a capable development team for the project's successful completion.
Agile Software Development Practices: Perceptions & Project DataChristoph Matthies
Talk on agile software development practices and their relationship to team members perceptions, held at the 2020 Software Engineering (SE) conference, organized by the Gesellschaft für Informatik (GI), 24-28 Feb 2020 in Innsbruck, Austria. Conference website: https://se20.ocg.at/
Paper :
C. Matthies, J. Huegle, T. Dürschmid, and R. Teusner, “Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices,” in Software Engineering 2020, M. Felderer, W. Hasselbring, R. Rabiser, and R. Jung, Eds., Bonn: Gesellschaft für Informatik e.V., 2020, pp. 73–74. doi: 10.18420/SE2020_20 (CC BY-SA 4.0)
[Online] available: https://dl.gi.de/handle/20.500.12116/31697
Engaging Information Professionals in the Process of Authoritative Interlinki...Lucy McKenna
Through the use of Linked Data (LD), Libraries, Archives and Museums (LAMs) have the potential to expose their collections to a larger audience and to allow for more efficient user searches. Despite this, relatively few LAMs have invested in LD projects and the majority of these display limited interlinking across datasets and institutions. A survey was conducted to understand Information Professionals' (IPs') position with regards to LD, with a particular focus on the interlinking problem. The survey was completed by 185 librarians, archivists, metadata cataloguers and researchers. Results indicated that, when interlinking, IPs find the process of ontology and property selection to be particularly challenging, and LD tooling to be technologically complex and unsuitable for their needs.
Our research is focused on developing an authoritative interlinking framework for LAMs with a view to increasing IP engagement in the linking process. Our framework will provide a set of standards to facilitate IPs in the selection of link types, specifically when linking local resources to authorities. The framework will include guidelines for authority, ontology and property selection, and for adding provenance data. A user-interface will be developed which will direct IPs through the resource interlinking process as per our framework. Although there are existing tools in this domain, our framework differs in that it will be designed with the needs and expertise of IPs in mind. This will be achieved by involving IPs in the design and evaluation of the framework. A mock-up of the interface has already been tested and adjustments have been made based on results. We are currently working on developing a minimal viable product so as to allow for further testing of the framework. We will present our updated framework, interface, and proposed interlinking solutions.
Philippe Krief, Eclipse Foundation Research Relations Director explains how the Crossminer H2020 project outcomes can help software developers to select the right open source components for their own project This presentation was recorded during the OSS Projects Assesment Session at OW2con'19, June 12, 2019 in Paris.
X api chinese cop monthly meeting feb.2016Jessie Chuang
Topics
XAPI Vocabulary spec. From ADL
Linked Data / Semantic web. / Web 3.0
Linked Data in education and content recommender
Semantic search and Google Knowledge Graph
APIs eat software (connect with partners and services)
How should we exploit data and build intelligence layer?
Case Study (Hong Ding Educational Technology)
Monetize your data and add value (intelligence)
…Locate, Collate and Aggregate - JISC CETIS Conference, Nottingham 2010. A little bit about several projects I ran for JISC to release and then help the discovery of Open Educational Resources. Unfortunately due to the shutting of the HEA Subject Centres the search tool is no longer available.
Most notably the presentation includes work on "Date of Birth" codes (DOBs) as a way to track the use and reuse of OERS
Java Web Application Project Titles 2023-2024.
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
Java Application Projects 2023 - 2024
Java Web Application Project Titles
E-Authentication System using QR Code and OTP
Student Attendance System Using QR-Code
Hall Ticket Generation System with Integrated QR Code
Certificate Authentication System using QR Code
QR Code-based Smart Vehicle Parking Management System
Employee Attendance System using QR Code
QR Code based Secure Online Voting System
QR Code Based Smart Online Student Attendance System
Cyber Security Projects
Detecting Malicious Facebook Applications
Detection of Bullying Messages in Social Media
Enhanced Secure Login System using Captcha as Graphical Passwords
Filtering Unwanted Messages in Online Social Networking User walls
Secure Online Transaction System with Cryptography
Detecting Mobile Malicious Webpages in Real Time
Credit Card Fraud Detection in Online Shopping System
Enhanced Data Security with Onion Encryption and Key Rotation
Detection of Offensive Messages in Social Media to Protect Online Safety
Healthcare Projects
Diabetes Prediction using Data Mining in Healthcare Management System
Online Hospital Management System
Online Oxygen Management System
Enhanced Hospital Admission System to Mitigate Crowding
Online Parking Booking System
E-Pass Management System | Curfew e-pass management system
Online Tender Management System
Online Toll Gate Management System
Online Election System
Panchayat Union Automation System
Smart City Project - A Complete City Guide Using Database
Visa Processing Management System
Cricket Win Predictor using Machine Learning
College Management System
Online college Counselling system
Online No Dues Management System
Online Student Mentoring System
Online Tuition Management System
Bike Store Management System
Computer Inventory System
Distilled Water Management System
Donation Tracking System | Online Charity Management System
Online Bug Tracking System
Online Content Based Image Retrieval System with Ranking Model
Online Crime File Management System
Online Courier Management System
Online Blood Bank Management System
Online Secure Organ Donation Management System
Connecting Social Media to E-Commerce
Twitter Based Tweet Summarization
Mental Disorders Detection via Online Social Media Mining
Detecting Stress Based on Social Interactions in Social Networks
Knowledge Sharing Based Online Social Network with Question and Answering System
Predicting Suicide Intuition in Online Social Network
Predicting Emotions of User in Online Social Network
Employee Payroll Management System
Human Resource Management System
Online Employee Tracking System
College Admission Predictor
Online Book Recommendation System
Personalized Movie Recommendation System
Product Recommendation System in Online Social Network
Mining Online Product Evaluation System based on Ratings and Review Comments
Online Book Buying and Selling
MATLAB IEEE Projects 2023 – 2024.
Brain Tumor Detection and Classification Using Artificial Intelligence
Classification of Potholes using Convolutional Neural Network Model
Deep Learning Based Parkinson's Disease Progression Analysis Using DaTscan Images
Artificial Intelligence based Facial Emotions Analysis for Depression Detection
Grading Of Diabetic Retinopathy Using Deep Learning
Identification of Plant Disease from Leaf Images Based on Convolutional Neural Network
Knee Osteoarthritis Detection and Classification Using X-Rays
Weeds and Crop Image Classification using Deep Learning Technique
URL Based Phishing Website Detection using Machine Learning Models
AI-based Gender Identification using Facial Features
Skin Disease Classification using Deep Learning
Driver Drowsiness Detection System Using Image Processing
Classification of Leukemia White Blood Cell Cancer using Image Processing and Machine Learning
Age Prediction through Facial Images using Deep Learning
Brain Stroke Classification Through Image Processing and SVM
Video-Based Driver Drowsiness Detection System
Enhanced Fog Detection and Visibility Measurement in Adverse Weather Conditions
Flower Species Detection using Machine Learning Technique
Face Recognition and Expression Detection for the Visually Impaired
Night Time Vehicle Detection Using Image Processing and Linear SVM
Human Action Recognition using Image Processing and Nearest Mean Classifier
Traffic Light Controller System and Road Congestion Detection based on Counting of Vehicles
Secure Authentication System Using Visual Cryptography
Effective Detection of Copy Move Forgery using HOG and Machine Learning
Traffic Sign Detection and Classification using HOG and SVM
Python IEEE Papers / Projects 2023 – 2024.
🔗Email: jpinfotechprojects@gmail.com,
🌐Website: https://www.jpinfotech.org
📞MOBILE: (+91)9952649690.
DEEP LEARNING IEEE PROJECTS 2023
Blood Cancer Identification using Hybrid Ensemble Deep Learning Technique
Breast Cancer Classification using CNN with Transfer Learning Models
Calorie Estimation of Food and Beverages using Deep Learning
Detection and Identification of Pills using Machine Learning Models
Detection of Cardiovascular Diseases in ECG Images Using Machine Learning and Deep Learning Methods
Development of Hybrid Image Caption Generation Method using Deep Learning
Dog Breed Classification using Inception-ResNet-V2
Forest Fire Detection using Convolutional Neural Networks (CNN)
Digital Image Forgery Detection Using Deep Learning
Image-Based Bird Species Identification Using Machine Learning
Kidney Cancer Detection using Deep Learning Models
Medicinal Herbs Identification
Monkeypox Diagnosis with Interpretable Deep Learning
Music Genre Classification Using Convolutional Neural Network
Pancreatic Cancer Classification using Deep Learning
Prediction of Lung Cancer using Convolution Neural Networks
Signature Fraud Detection using Deep Learning
Skin Cancer Prediction Using Deep Learning Techniques
Traffic Sign Classification using Deep Learning
Disease Classification in Wheat from Images Using CNN
Detection of Lungs Cancer through Computed Tomographic Images using Deep Learning
MACHINE LEARNING IEEE PROJECTS 2023
A Machine Learning Framework for Early-Stage Detection of Autism Spectrum Disorders
A Machine Learning Model to Predict a Diagnosis of Brain Stroke
CO2 Emission Rating by Vehicles Using Data Science
Cyber Hacking Breaches Prediction and Detection Using Machine Learning
Fake Profile Detection on Social Networking Websites using Machine Learning
Crime Prediction Using Machine Learning and Deep Learning
Drug Recommendation System in Medical Emergencies using Machine Learning
Efficient Machine Learning Algorithm for Future Gold Price Prediction
Heart Disease Prediction With Machine Learning
House Price Prediction using Machine Learning Algorithm
Human Stress Detection Based on Sleeping Habits Using Machine Learning Algorithms
Sentiment Classification using N-gram IDF and Automated Machine LearningJAYAPRAKASH JPINFOTECH
Sentiment Classification using N-gram IDF and Automated Machine Learning
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Privacy-Preserving Social Media DataPublishing for Personalized Ranking-Based...JAYAPRAKASH JPINFOTECH
Privacy-Preserving Social Media Data Publishing for Personalized Ranking-Based Recommendation
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse...JAYAPRAKASH JPINFOTECH
Discovering the Type 2 Diabetes in Electronic Health Records using the Sparse Balanced Support Vector Machine
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Crop Yield Prediction and Efficient use of Fertilizers
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Collaborative Filtering-based Electricity Plan Recommender System
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Achieving Data Truthfulness and Privacy Preservation in Data MarketsJAYAPRAKASH JPINFOTECH
Achieving Data Truthfulness and Privacy Preservation in Data Markets
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average...JAYAPRAKASH JPINFOTECH
V2V Routing in a VANET Based on the Auto regressive Integrated Moving Average Model
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Towards Fast and Reliable Multi-hop Routing in VANETs
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Selective Authentication Based Geographic Opportunistic Routing in Wireless S...JAYAPRAKASH JPINFOTECH
Selective Authentication Based Geographic Opportunistic Routing in Wireless Sensor Networks for Internet of Things Against DoS Attacks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc NetworksJAYAPRAKASH JPINFOTECH
Robust Defense Scheme Against Selective DropAttack in Wireless Ad Hoc Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authenti...JAYAPRAKASH JPINFOTECH
Privacy-Preserving Cloud-based Road Condition Monitoring with Source Authentication in VANETs
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Novel Intrusion Detection and Prevention for Mobile Ad Hoc NetworksJAYAPRAKASH JPINFOTECH
Novel Intrusion Detection and Prevention for Mobile Ad Hoc Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Node-Level Trust Evaluation in Wireless Sensor Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
New Multi-Hop Clustering Algorithm for Vehicular Ad Hoc Networks
To buy this project in ONLINE, Contact:
Email: jpinfotechprojects@gmail.com,
Website: https://www.jpinfotech.org
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Honest Reviews of Tim Han LMA Course Program.pptxtimhan337
Personal development courses are widely available today, with each one promising life-changing outcomes. Tim Han’s Life Mastery Achievers (LMA) Course has drawn a lot of interest. In addition to offering my frank assessment of Success Insider’s LMA Course, this piece examines the course’s effects via a variety of Tim Han LMA course reviews and Success Insider comments.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
2024.06.01 Introducing a competency framework for languag learning materials ...Sandy Millin
http://sandymillin.wordpress.com/iateflwebinar2024
Published classroom materials form the basis of syllabuses, drive teacher professional development, and have a potentially huge influence on learners, teachers and education systems. All teachers also create their own materials, whether a few sentences on a blackboard, a highly-structured fully-realised online course, or anything in between. Despite this, the knowledge and skills needed to create effective language learning materials are rarely part of teacher training, and are mostly learnt by trial and error.
Knowledge and skills frameworks, generally called competency frameworks, for ELT teachers, trainers and managers have existed for a few years now. However, until I created one for my MA dissertation, there wasn’t one drawing together what we need to know and do to be able to effectively produce language learning materials.
This webinar will introduce you to my framework, highlighting the key competencies I identified from my research. It will also show how anybody involved in language teaching (any language, not just English!), teacher training, managing schools or developing language learning materials can benefit from using the framework.
Safalta Digital marketing institute in Noida, provide complete applications that encompass a huge range of virtual advertising and marketing additives, which includes search engine optimization, virtual communication advertising, pay-per-click on marketing, content material advertising, internet analytics, and greater. These university courses are designed for students who possess a comprehensive understanding of virtual marketing strategies and attributes.Safalta Digital Marketing Institute in Noida is a first choice for young individuals or students who are looking to start their careers in the field of digital advertising. The institute gives specialized courses designed and certification.
for beginners, providing thorough training in areas such as SEO, digital communication marketing, and PPC training in Noida. After finishing the program, students receive the certifications recognised by top different universitie, setting a strong foundation for a successful career in digital marketing.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
BÀI TẬP BỔ TRỢ TIẾNG ANH GLOBAL SUCCESS LỚP 3 - CẢ NĂM (CÓ FILE NGHE VÀ ĐÁP Á...
FunkR-pDAE: Personalized Project Recommendation Using Deep Learning
1. FunkR-pDAE: Personalized Project Recommendation Using
Deep Learning
ABSTRACT:
In open source communities, developers always need to spend plenty of time and
energy on discovering specific projects from massive open source projects.
Consequently, the study of personalized project recommendation for developers
has important theoretical and practical significance. However, existing
recommendation approaches have clear limitations, such as ignoring developers’
operating behavior, social relationships and practical skills, and are very inefficient
for large amounts of data. To address these limitations, this paper proposes FunkR-
pDAE (Funk singular value decomposition Recommendation using pearson
correlation coefficient and Deep Auto-Encoders), a novel personalized project
recommendation approach using a deep learning model. FunkR-pDAE first
extracts data related to developers and open source projects from open source
communities, which build a developer-open source project relevance matrix and a
developer-developer relevance matrix. Meanwhile, Pearson Correlation Coefficient
is utilized to calculate developer similarity using the developer-developer
relevance matrix. Second, deep auto-encoders are used to learn the factor vectors
that represent developers and open source projects. Finally, a sorting method is
defined to provide personalized project recommendations. Experimental results on
real-world GitHub data sets show that FunkR-pDAE has a precision rate of 75.46%
and a recall rate of 40.32%, which provides more effective recommendation
compared with state-of-the-art approaches.
2. SYSTEM REQUIREMENTS:
HARDWARE REQUIREMENTS:
System : Pentium Dual Core.
Hard Disk : 120 GB.
Monitor : 15’’ LED
Input Devices : Keyboard, Mouse
Ram : 1 GB
SOFTWARE REQUIREMENTS:
Operating system : Windows 7.
Coding Language : Python
Database : MYSQL
REFERENCE:
Pengcheng Zhang, Fang Xiong, Hareton Leung, and Wei Song, “FunkR-pDAE:
Personalized Project Recommendation Using Deep Learning”, IEEE Transactions
on Emerging Topics in Computing, 2019.