New MiniMax M2.7 proprietary AI model is 'self-evolving' and can perform 30-50% of reinforcement learning research workflow

For direct API integration and via third-party provider OpenRouter, MiniMax M2.7 maintains a cost-leading price point of 0.30 dollars per 1 million input tokens and 1.20 dollars per 1 million output ...
EE World Online

How do ML and AI work in power conversion? part 1

The use of machine learning (ML) and artificial intelligence (AI) in power converters represents the latest development in ...
IEEE

Genetic Algorithm Optimization of Attention-Enhanced Transfer Learning for Eggshell Color Classification

Abstract: In the poultry food industry, eggshell color is recognized as a crucial quality indicator that influences consumer preference and market value. Traditional classification methods, such as ...
IEEE

Machine-Learning-Based Algorithm for Significant Wave Height Retrieval From Microwave Radiometer During Tropical Cyclones

This study develops a machine-learning-based approach to retrieve significant wave height (SWH) from soil moisture active passive (SMAP) radiometer data under tropical cyclone (TC) conditions, ...
IEEE

Enhanced Student Learning Through Facial Emotion Recognition Using Normalized CNN and Deep Learning

Abstract: The identification of facial emotions through FER serves as a vital factor for both human-computer relationships and learning platforms designed for individual needs. The research presents ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

However, in indoor environments, non-line-of-sight (NLOS) signals significantly degrade the ranging performance of UWB ...
Ahmedabad Mirror

Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence

Delhi Technological University, TimesPro announce the inaugural Advanced Certificate Program in Artificial Intelligence ...
IEEE

A Review of Machine Learning and Deep Learning Trends in EEG-Based Epileptic Seizure Prediction

Abstract: Epileptic seizures impair patients’ health and quality of life, and electroencephalography (EEG)-based prediction enables timely intervention. Early work on epileptic seizure prediction ...
IEEE

An Multi-Agent Reinforcement Learning-Based Adaptive Multi-Objective Evolutionary Algorithm

Abstract: Multi-objective evolutionary algorithms (MOEAs) have demonstrated significant success in solving multi-objective optimization problems (MOPs). However, their performance is highly sensitive ...
IEEE

A Deep Learning Framework for Network Intrusion Detection Using hybrid CNN-BiGRU-Multi-Head Attention model

Abstract: This paper describes a fresh IDS framework that utilizes CNN and BiGRU and Multi-Head Attention techniques to develop an improved deep learning approach for network protection from changing ...
IEEE

Hardware-Efficient Pruned CNN Optimized by Neural Architecture Search and Genetic Algorithm for Diabetic Retinopathy Detection on STM32F746

Abstract: Scalable screening for diabetic retinopathy remains difficult to deliver where it is most needed. We present a hardware-efficient convolutional neural network (CNN) designed for reliable, on ...
IEEE

Meta-Learning Framework with MS-1D-CNN and ArcFace for Few-Shot Machinery Fault Diagnosis

Abstract: Machine health monitoring systems (MHMS) are essential for predictive maintenance and operational reliability in industrial environments. Conventional deep learning methods depend on large, ...