IEEE

Comparative Analysis of Object Detection Algorithms for Bolt Detection: Performance Evaluation of Faster R-CNN, SSD, RetinaNet and YOLOv8n

With the development of Industry 4.0, there is increasing emphasis on automating assembly tasks traditionally performed manually by skilled workers [1]. These tasks often involve fasteners, such as ...

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 ...
IEEE

Optimal Secure Control for Cyber-Physical Systems Under False Data Injection Attacks via Incremental Iterative Q-Learning Algorithm

Abstract: An incremental iterative Q-learning algorithm (IIQLA) is proposed to tackle the optimal secure control problem for cyber-physical systems under false data injection attacks. Within a ...
IEEE

AdaBoost ensemble learning algorithm for precision manufacturing of aerosol jet printing

Abstract: Aerosol jet printing (AJP) is a hotspot technic applied in customized microelectronic component manufacturing due to its high design flexibility and capability for fine feature deposition.
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

Adversial Learning Through GAN and Feature Extraction Through CNN for Deep Fake Detection

Abstract: Deepfake technology, using deep learning, creates highly realistic yet artificial media, creating challenges for security and privacy. Convolutional Neural Networks (CNNs) play a crucial ...
IEEE

Transfer Learning-Enhanced CNN-LSTM Model for Banana Plant Disease Detection

Abstract: Bananas are one of the widely cultivated and eaten fruits globally, playing a effective role in the agricultural economy of many regions, including tropical and subtropical regions. However, ...
IEEE

Evaluating Machine Learning Algorithms for Enhancing Network Intrusion Detection Systems: A Comparative Study

Abstract: Network Intrusion Detection Systems (NIDS) play crucial role for maintaining the security of modern network infrastructures. With the increasing sophistication of cyber-attacks, traditional ...

Career Wise: 5 High-Paying AI Jobs That Will Be In Demand Over The Next Decade

Jobs related to AI offer attractive salaries and significant growth potential. For students or professionals aiming for a career in technology, AI stands out as a prime choice.
IEEE

SC-DRL: A Status Correction-Empowered Deep Reinforcement Learning Algorithm for Dependency-Aware Application Offloading

Abstract: Mobile edge computing (MEC) is emerging as a critical paradigm to meet the growing computational demands of wireless devices. However, edge servers, wireless devices, and service types in ...
IEEE

Enhancing Random Forest Using Genetic Algorithm for Lifelong Machine Learning

Abstract: Learning over time for machine learning (ML) models is emerging as a new field, often called continual learning or lifelong Machine learning (LML). Today, deep learning and neural networks ...
IEEE

1D-CNN and LSTM-Based Electrical Fire Warning Algorithm for High-Risk Industrial Circuits

Abstract: Industrial high-risk circuit electrical fires pose a significant threat to industrial production, life safety, and property security. Traditional electrical fire warning methods primarily ...