IEEE

Efficient Machine Learning-Based Semantic Segmentation Algorithm for Consumer-Grade AAV Remote Sensing

Abstract: The computational complexity of the Transformer model grows quadratically with input sequence length. This causes a sharp increase in computational cost and memory consumption for ...
IEEE

Analysis of Adolescent Mental Health Based on Machine Learning Algorithm

Abstract: With the improvement of people’s living standards, material needs have been satisfied, so attention has begun to be paid to mental health. Among them, adolescents due to adolescence, mental ...
Frontiers

A Hybrid Metaheuristic Algorithm with Machine Learning for Detecting Denial-of-Service Attacks in Wireless Sensor Networks

The final, formatted version of the article will be published soon. Abstract. Denial-of-service (DoS) attacks pose a major threat to various kinds of computer networks. There are several kinds of ...

WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification

Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
Nature

OpenClaw AI chatbots are running amok — these scientists are listening in

Artificial-intelligence agents have their own social-media platform and are publishing AI-generated research papers on their own preprint server.
IEEE

Real-Time Avocado Plant Health and Disease Detection Using UAV Imagery with Faster R-CNN Algorithm

Abstract: Avocado cultivation is a rapidly growing industry known for its creamy, nutritious fruit and economic value In Tamil Nadu the plane bear fruits for a period of 3 to 4 years after which tree ...
IEEE

MFC-CNN: A Deep Learning Framework for Urban Building Height Estimation from GF-7 Imagery

Abstract: Estimating building heights by generating disparity maps from multi-view satellite images through stereo matching remains challenging in urban research. However, disparity maps produced by ...

AI Is Quietly Changing Who Gets Hired; What Are The Rules To Get Employed In 2026?

Résumé screeners, keyword-matching tools, AI-assisted video interviews are filtering applicants. For job seekers, the challenge is about learning how to pass digital gatekeepers ...
IEEE

Automated Food Spoilage Detection Using Deep Learning: A CNN-Based Approach

Abstract: Food spoilage detection is critical in ensuring food safety and reducing waste. In this work, we offer a new neural network model, rotOrNot, intended for image analysis-based rotten food ...
IEEE

Facial Recognition for Locating Missing Child Using CNN Algorithm

Abstract: In India, countless children are reported missing every year, with a significant percentage remaining untraced due to challenges in identification and limited resources. This project ...
IEEE

Early Radar Work Mode Recognition Using Hybrid CNN-Transformer and Reinforcement Learning

In this paper, a novel approach is proposed for early recognition of Radar Work Mode, which integrates a hybrid CNN-Transformer architecture and a Reinforcement Learning strategy. The model processes ...
IEEE

An Improved Gesture Recognition Algorithm Based on the Integration of CNN and Transformer

Abstract: In today's rapidly advancing era of intelligence and digitalization, gesture recognition, as a natural and efficient interaction method, has become an important research direction in the ...