Scaling of Haralick features with image bit depth and gray level co-occurrence matrix displacement vector for linear gradients. [PDF]
Oprisan A, Oprisan SA.
europepmc +1 more source
Scene‐Driven Semantic Alignment for Generative Communication in Underwater Images
Underwater images serve as one of the most intuitive media for human perception of underwater environments. However, the limited bandwidth and susceptibility to noise in underwater acoustic (UWA) channels pose significant challenges for traditional image encoding and transmission methods, thereby hindering high‐quality image reconstruction.
Yuetong Li +5 more
wiley +1 more source
Real-Time Radar-Based Hand Motion Recognition on FPGA Using a Hybrid Deep Learning Model. [PDF]
Ahmed TS +4 more
europepmc +1 more source
A Dual‐Channel Deep Network–Based Longitudinal Protection Method for Distribution Networks
Aiming to enhance the error‐resistant capability of distribution network longitudinal protection, a distribution network longitudinal protection model is proposed. First, this paper analyses the transient characteristics of distribution network faults in terms of distributed power supply faults and synchronous generator faults and clarifies the ...
Wei Liu +6 more
wiley +1 more source
Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm for Mobile Edge Computing Networks (EHRL). [PDF]
Bayoumi H +3 more
europepmc +1 more source
Objectives This study is the first to extensively analyze the application of artificial intelligence (AI) to human activity recognition (HAR) in the field of sports and exercise through bibliometrics and visualization methods. Methods We used CiteSpace, VOSviewer, and Bibliometrix R‐package software to perform a bibliometrics and visual analysis of 432
Mengyao Zhang +5 more
wiley +1 more source
Transinger: Cross-Lingual Singing Voice Synthesis via IPA-Based Phonetic Alignment. [PDF]
Shen C, Zhao L, Fu C, Gan B, Du Z.
europepmc +1 more source
Error‐Tolerant Multimodal Vision‐Language Models for Endodontic Triaging: A Cross‐Sectional Study
Objective To assess the performance of multimodal vision‐language artificial intelligence models, optimised using quantisation‐aware training, in triaging endodontic treatment needs. The focus is on the ability to interpret endodontic radiographs while tolerating common image capture errors, including cone cutting, elongation, foreshortening ...
Md Fahim Shahoriar Titu +7 more
wiley +1 more source
An Edge-Enabled Lightweight LSTM for the Temperature Prediction of Electrical Joints in Low-Voltage Distribution Cabinets. [PDF]
Gui Y +7 more
europepmc +1 more source

