Brochure

Recently uploaded

Passive Air Cooling System and Solar Water Heater.ppt

This simple Python software is designed to assist Civil and Geotechnical Engineers in performing site-specific seismic hazard assessments. The program calculates the seismic response spectrum based on user-provided geotechnical and seismic parameters, generating a comprehensive technical report that includes the response spectrum data and figures. The analysis adheres to Eurocode 8 and the Greek Annex, ensuring compliance with international standards for earthquake-resistant design.

Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis

Dr.Costas Sachpazis

analog-vs-digital-communication (concept of analog and digital).pptx

Karpagam Institute of Teechnology

Diploma Engineering Drawing Qp-2024 Ece .pdf

JNTUA

It is a new concept in town planning, and it may have a highly positive impact on cities and communities. It not only promotes sustainability but also helps increase the health of people and boost the economy. Although it has a lot of advantages, critics argue that this concept is not for all cities and describe its effects as well. New cities should follow this pattern to build and develop their cities

15-Minute City: A Completely New Horizon

Morshed Ahmed Rahath

Exploring AI's Impact: Key Features in Due Diligence In the realm of due diligence, AI emerges as a game-changer, revolutionizing traditional methods with its advanced features. AI-powered algorithms excel in data analysis, swiftly sifting through vast amounts of information for crucial insights. Automation streamlines document review processes, ensuring accuracy and efficiency. Moreover, AI enables predictive analytics, forecasting potential risks and opportunities with precision. With machine learning capabilities, AI continuously improves its performance, adapting to evolving trends and patterns. By integrating AI into due diligence practices, businesses gain a competitive edge, maximizing efficiency and making informed decisions swiftly. AI in due diligence is not just a tool; it's a transformational force driving businesses into the future. https://www.leewayhertz.com/ai-in-due-diligence/

Artificial Intelligence in due diligence

mahaffeycheryld

According to the World Health Organization (WHO), seventy million individuals worldwide suffer from epilepsy, a neurological disorder. While electroencephalography (EEG) is crucial for diagnosing epilepsy and monitoring the brain activity of epilepsy patients, it requires a specialist to examine all EEG recordings to find epileptic behavior. This procedure needs an experienced doctor, and a precise epilepsy diagnosis is crucial for appropriate treatment. To identify epileptic seizures, this study employed a convolutional neural network (CNN) based on raw scalp EEG signals to discriminate between preictal, ictal, postictal, and interictal segments. The possibility of these characteristics is explored by examining how well timedomain signals work in the detection of epileptic signals using intracranial Freiburg Hospital (FH), scalp Children's Hospital Boston-Massachusetts Institute of Technology (CHB-MIT) databases, and Temple University Hospital (TUH) EEG. To test the viability of this approach, two types of experiments were carried out. Firstly, binary class classification (preictal, ictal, postictal each versus interictal) and four-class classification (interictal versus preictal versus ictal versus postictal). The average accuracy for stage detection using CHB-MIT database was 84.4%, while the Freiburg database's time-domain signals had an accuracy of 79.7% and the highest accuracy of 94.02% for classification in the TUH EEG database when comparing interictal stage to preictal stage.

Seizure stage detection of epileptic seizure using convolutional neural networks

IJECEIAES

Dynamo Scripts for Task IDs and Space Naming.pptx

Mustafa Ahmed

Artificial intelligence presentation2-171219131633.pdf

Kira Dess

21scheme vtu syllabus of visveraya technological university

Mohd Saifudeen

History of Indian Railways - the story of Growth & Modernization

Emaan Sharma

Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...

drjose256

SLIDESHARE PPT-DECISION MAKING METHODS.pptx

CHAIRMAN M

Interfacing Analog to Digital Data Converters ee3404.pdf

ragupathi90

UNIT-2 image enhancement.pdf Image Processing Unit 2 AKTU

ankushspencer015

Adsorption (mass transfer operations 2) ppt

jigup7320

UNIT 4 PTRP final Convergence in probability.pptx

kalpana413121

This presentation, crafted with expertise from the oil and gas industry, details the imperative techniques and tools used in the process of incident investigation. The presentation highlights the structured methods involving interviews with engaged parties, the importance of gathering documentary evidence, employing structured forms and checklists, the value of reviewing surveillance footage, the power of modern technology, and synergizing with subject-matter experts. It is designed for industry professionals keen on enhancing safety practices, regulatory compliance, and preventive measures within their operational environment. Valuable for health & safety officers, compliance managers, and operation leaders, it prioritises continuous learning and adherence to best practices to ensure workplace safety and operational excellence.

Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools

soginsider

5G and 6G refer to generations of mobile network technology, each representin...

archanaece3

In this study, using the fuzzy logic method, a stress detection tool was created with body temperature and blood pressure parameters as indicators to determine a person's stress level. This tool uses the LM35DZ sensor to detect body temperature, the MPX5100GP sensor to read blood pressure values, and Arduino Uno as a data processor from sensor readings which are then calculated using the fuzzy logic method as a stress level decisionmaker. The resulting output measures blood pressure, body temperature, and the stress level experienced by a person, which will be displayed on the liquid crystal display. Based on the results of testing the body temperature parameter, the highest error generated was 1.17%, and for the blood pressure parameter, the highest error was 2.5% for systole and 0.93% for diastole. Furthermore, testing the stress level displayed on the tool is compared to the depression, anxiety, and stress scales 42 (DASS 42), a psychological stress measuring instrument. From the results of testing the tool with the questionnaire, the average conformity level is 74%.

Fuzzy logic method-based stress detector with blood pressure and body tempera...

IJECEIAES

Recently uploaded (20)

Passive Air Cooling System and Solar Water Heater.ppt

Seismic Hazard Assessment Software in Python by Prof. Dr. Costas Sachpazis

analog-vs-digital-communication (concept of analog and digital).pptx

Diploma Engineering Drawing Qp-2024 Ece .pdf

15-Minute City: A Completely New Horizon

Artificial Intelligence in due diligence

Seizure stage detection of epileptic seizure using convolutional neural networks

Dynamo Scripts for Task IDs and Space Naming.pptx

Artificial intelligence presentation2-171219131633.pdf

21scheme vtu syllabus of visveraya technological university

History of Indian Railways - the story of Growth & Modernization

Tembisa Central Terminating Pills +27838792658 PHOMOLONG Top Abortion Pills F...

SLIDESHARE PPT-DECISION MAKING METHODS.pptx

Interfacing Analog to Digital Data Converters ee3404.pdf

UNIT-2 image enhancement.pdf Image Processing Unit 2 AKTU

Adsorption (mass transfer operations 2) ppt

UNIT 4 PTRP final Convergence in probability.pptx

Maximizing Incident Investigation Efficacy in Oil & Gas: Techniques and Tools

5G and 6G refer to generations of mobile network technology, each representin...

Fuzzy logic method-based stress detector with blood pressure and body tempera...

Brochure

Recommended

Recommended

More Related Content

Recently uploaded

Recently uploaded (20)

Featured

Featured (20)

Brochure