Forbes

Inside The Evolution Of Model Context Protocol: New Benefits, New Risks

When Anthropic open-sourced the Model Context Protocol (MCP ... reviewing updates before deployment and applying strict code ...

Cursor introduces its coding model alongside multi-agent interface

To address that, Cursor introduced Composer alongside its new multi-agent interface, which allows you to “run many agents in ...
IEEE

Cloud Computing Resource Load Prediction Based on ISSA-CNN-LSTM-SES Model

Abstract: In recent years, many researchers have focused on cloud computing resource load issues and proposed various load prediction models. This paper employs an improved Sparrow Search Algorithm ...

Bihar Elections 2025: How To Report Model Code Of Conduct Violations In Your Seat

As political parties prepare for the first phase of Bihar polls, it is important to note that the Model Code of Conduct (MCC) is currently in effect throughout the state.
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 ...
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

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 ...
IEEE

FedCNN: Federated Learning Framework Based CNN Model for Fault Classification in IEEE 30 Bus Transmission System

Abstract: Fault classification in multi-bus transmission lines with high precision and security is crucial for ensuring a reliable and stable power supply. Data-driven approaches have demonstrated ...