InfoWorld

AI and machine learning outside of Python

Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
How-To Geek on MSN

How to run R-style linear regressions in Python the easy way

The adjusted r-squared is helpful for multiple regression and corrects for erroneous regression, giving you a more accurate ...

You haven’t screwed up your kids by letting them use social media. An expert has tips for what to do

In her new book, “Smartphone Nation,” social media expert Kaitlyn Regehr helps parents manage their digital media consumption ...
Leadership

Nigerian Researcher Develops Deep Learning Model To Transform Brain Cancer Diagnosis

In a groundbreaking development at the intersection of artificial intelligence (AI) and medicine, Tobi Titus Oyekanmi, a ...
IEEE

The Fatigue Driving Detection Model Based on the Combination of CNN and SE Modules

Abstract: Fatigue driving is one of the leading causes of traffic accidents, posing a serious threat to road safety. Traditional Convolutional Neural Networks (CNN) models have been widely used for ...
IEEE

DermNet-CNN: A Hyperparameter-Tuned CNN Model for Accurate Skin Disease Detection

Abstract: The diagnosis of skin disease is a critical area in healthcare, requiring high accuracy and reliability to ensure effective treatment. Traditional diagnostic methods often struggle with the ...
IEEE

Image Enhancement using GAN-based Augmentation in CNN Models for Classification Dyslexia Severity

Abstract: Dyslexia, a complex neurodevelopmental disorder, poses formidable challenges to individuals in acquiring proficient reading skills despite adequate instruction and cognitive abilities, with ...
IEEE

Deep Learning Based - Brain Stroke Detection System on CT Images using CNN and Federated Learning (CNN-FL)

Abstract: Brain Stroke is one of the leading causes of death and long-term disability worldwide, with early detection being crucial for successful intervention and treatment. The use of deep learning ...
IEEE

An AI Hybrid Model for Road Accident Detection based on YOLO and CNN Algorithm

Abstract: Accurate and up-to-date accident detection is crucial to improve road safety and reduce emergency response lag. Conventional methods for detecting accidents are usually based on manual ...
GitHub

Great Expectations MCP Server

Large Language Model (LLM) agents often need to interact with and validate data. Great Expectations is a powerful open-source tool for data quality, but it's not natively accessible to LLM agents.
IEEE

A Hybrid CNN-LSTM Multi-Modal for Early Detection and Recurrence Prediction of Ovarian Cancer and Model Transparency using SHAP and LIME

Abstract: Ovarian cancer is one of the deadliest cancers in women because it shows no clear symptoms in the early stages and often returns after treatment. Current detection methods are not strong ...
IEEE

A Multimodal IoT Sensing System With Hybrid LSTM–CNN Model for Predictive Fault Diagnosis in Elevators

Abstract: This article presents a multimodal Internet of Things (IoT)-enabled sensing system integrated with a hybrid deep learning framework for predictive fault diagnosis in elevator systems. The ...