IEEE

Deep Learning Models for Precision Agriculture: Evaluating CNN Architectures for Accurate Plant Disease Detection

Abstract: Early and precise detection of plant diseases is crucial for enhancing crop yield and minimizing agricultural losses. This paper evaluates the performance of deep learning-based ...
IEEE

Design of English Grammar Error Correction System Based on Deep Learning Algorithm

Abstract: The design of error correction system plays an important role in intelligent English grammar, but there is the problem of inaccurate error correction and ...
IEEE

Multi-Robot Cooperative Inspection Planning of Substation Based on Genetic Algorithm and Deep Reinforcement Learning

Abstract: The safe and reliable operation of power systems relies on the intelligent operation and maintenance (O&M) of substations. However, multi-robot collaborative inspection, an essential ...
IEEE

Hierarchical UAV Autonomous Navigation Algorithm based on Event-Triggered Deep Reinforcement Learning

Abstract: In unknown environments, achieving autonomous navigation for unmanned aerial vehicles (UAVs) is a complex task. Ensuring that UAVs reach their destinations safely and efficiently remains a ...
IEEE

Optimization of Federated Learning Algorithm for Non-lID Data: Improvements to the FedDyn Algorithm

Abstract: This paper investigates the optimization of the FedDyn algorithm in Federated Learning (FL). Federated Learning is a distributed machine learning framework that enables model training on ...
IEEE

Deep Learning-Based Malaria Detection: A Robust CNN Framework for Accurate and Automated Diagnosis

Abstract: This research suggests a strong framework for automated malaria detection using a Convolutional Neural Network (CNN) model. The dataset, sourced from Kaggle, consists of 27,558 ...
IEEE

Deep Fake Detection using ResNext Convolutional Neural Network (CNN) combined with a Recurrent Neural Network (RNN)

Abstract: The utilization of digital video alterations has been observable for an extended period thanks to skillful deployment of visual enhancements; however, the latest progressions in deep ...
IEEE

A Routing Algorithm for Computing Power Network Based on Deep Reinforcement Learning and Graph Neural Networks

Abstract: The computing power network(CPN), as a current research hotspot, aims to provide users with reliable, efficient, and secure computing capabilities. However, research on the routing algorithm ...
Physics World

Hybrid deep-learning model eases brachytherapy planning

The BCTVNet neural network provides accurate and rapid target volume delineation for cervical cancer brachytherapy ...

University Of Leeds Opens Applications For BSc Computer Science AI Course

The University of Leeds is accepting applications for its BSc Computer Science (AI) programme starting September 2026, offering scholarships for Indian students.
IEEE

Multi-Modal Self-Supervised Learning Algorithm-Based Product Recommendation

Abstract: With the rise of e-commerce, personalized recommendation algorithms have received much attention in recent years. Meanwhile, multimodal recommendation algorithms have become the next ...
IEEE

A Hybrid CNN-LSTM Deep Learning Model for Next-Generation OFDM Channel Estimation in Wireless Networks

Abstract: Orthogonal Frequency Division Multiplexing (OFDM) enables high-rate data transmission wards wirelss broadband connections. Accurate channel estimation continues to be an unsolved issue in ...