How-To Geek on MSN

I Use Python, but I’m Learning R and the Tidyverse for Data Analysis Too

I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...
How-To Geek on MSN

5 Reasons Jupyter Notebooks With Python Are Better Than Excel for Data Analysis

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

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

Automatic Detection and Calculation of Mining Subsidence in Large-Scale Interferograms With Transformer-CNN Model

Abstract: Coal mining operations trigger geological hazards including ground subsidence, surface fracturing, and landslides, endangering resident safety and infrastructure in mining regions. To ...
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 ...
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 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 ...
IEEE

A Comprehensive Study of CNN Models for Colon Cancer Detection

Abstract: Recent advancements in deep learning have significantly improved colon cancer detection through histopathological image analysis. CNNs such as DenseNet, MobileNet, ResNet, and GoogLeNet ...
IEEE

Enhancing Diagnosing Lung Infections Using X-ray Imaging through machine learning optimized with Genetic Algorithm.

Abstract: Convolutional Neural Networks (CNNs) play a crucial role in deep learning for medical imaging, offering highly accurate detection of various lung diseases. This study strives to diagnose ...
IEEE

Multi-Location and Multi-Feature LMP Forecasting: A 2D Spatiotemporal LSTM-CNN Approach

Abstract: Accurate Locational Marginal Price (LMP) forecasting is crucial for effective energy procurement in electricity markets, as it helps utilities make informed, cost-efficient decisions. This ...