Abstract: In this paper, a deep learning-based vehicle path planning algorithm for smart garages is proposed. Firstly, the research background of intelligent garage vehicle path planning and the ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
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 ...
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 ...
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.
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 ...
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 ...
Abstract: In unmanned aerial vehicle (UAV) ad hoc networks, dynamic wireless channel fluctuations and malicious electromagnetic jamming may severely compromise link reliability, causing rate ...
Abstract: Type 1 Diabetes (T1D) is a chronic metabolic disease characterized by elevated blood glucose (BG) concentrations, resulting from the immune-mediated destruction of insulin-producing ...
Abstract: In recent years, with the rapid development of e-commerce, accurate prediction of consumers' purchase intentions has become an important factor in business success. This study proposes and ...