TMCnet

Bridging Silence: A Real-Time Sign Language to English Text Translation System Using Python, OpenCV, and Convolutional Neural Networks

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...
Scientific Research Publishing

Applying Deep Learning Techniques for Automated Analysis and Interpretation of Financial Statements ()

Multimodal Learning, Deep Learning, Financial Statement Analysis, LSTM, FinBERT, Financial Text Mining, Automated Interpretation, Financial Analytics Share and Cite: Wandwi, G. and Mbekomize, C. (2025 ...
Fox News

Ohio woman gets life sentence for stabbing 3-year-old to death outside grocery store

An Ohio woman received a life sentence without the possibility of parole for fatally stabbing a 3-year-old boy outside a grocery store, in an attack that also injured the child’s mother. Bionca Ellis, ...
Frontiers

Enhanced deep Convolutional Neural Network for SARS-CoV-2 variants classification

Introduction: Rapid and scalable classification of SARS-CoV-2 genomes from spike-gene sequences can support real-time genomic surveillance in contexts where whole-genome data or high-end computing ...
Frontiers

Automated classification of midpalatal suture maturation using 2D convolutional neural networks on CBCT scans

School of Dentistry, Faculty of Medicine and Dentistry, University of Alberta, Edmonton, AB, Canada Introduction: Accurate assessment of midpalatal suture (MPS) maturation is critical in orthodontics, ...
IEEE

Using Deep Convolutional Neural Networks for Earthquake and Explosion Classification

Abstract: Accurate classification of seismic events is essential to prevent confusion in catalogs, which can distort seismic statistics and hazard analyses. Monitoring small-scale explosions aids in ...
IEEE

Convolutional neural network with pair-wise pure dependence for sentence classification

Abstract: Sentence classification has always been a crucial research topic in Natural Language Processing (NLP). Classical bag-of-words based models have a major limitation: the contextual information ...