Results 91 to 100 of about 18,004 (194)

Implementation of Hand Movement Tracking for Real-Time Sign Language Translation

Journal of Innovation and Community Engagement
This study developed a real-time American Sign Language (ASL) sign language identification and interpretation system based on deep learning. The system used two data sources: the ASL alphabet dataset for individual character recognition and the WLASL ...
Bernardus Anggodho Aryudhawan Hadi, Wilfridus Bambang Triadi Handaya, Suyoto Suyoto   +2 more
doaj   +1 more source

Phantom citations: An empirical study of non‐existent and unverifiable references in scholarly literature

Journal of the Association for Information Science and Technology, Volume 77, Issue 10, Page 1287-1316, October 2026.
Abstract The integrity of scholarly communication depends critically on the accuracy and verifiability of cited references. Citations enable readers to trace prior work, assess evidence, and situate new contributions within the existing literature. However, concerns have emerged regarding the presence of references in published papers that cannot be ...
Chengcheng Han, Sathiamoorthy Manoharan, Xinfeng Ye, Ulrich Speidel   +3 more
wiley   +1 more source

Analysis of Student Performance Prediction Using the Bi‐LSTM Technique Focused on the Indian Higher Education Context Using a Synthetic Dataset

Engineering Reports, Volume 8, Issue 10, October 2026.
A Nadam‐optimized Bi‐LSTM framework integrates multi‐level student and institutional data to predict academic performance with 92.5% accuracy. The approach captures bidirectional temporal patterns and enables scalable, data‐driven early warning systems and targeted interventions in higher education. ABSTRACT Student performance prediction is a critical
Sudhindra B. Deshpande, Praveen U. Kalkundri, Pratijnya Ajawan, Jemal Abate Jilo, Ravi U. Kalkundri, Raghavendra Jadhav   +5 more
wiley   +1 more source

PHISHING EMAIL DETECTION USING TEMPORAL BEHAVIORAL MODELING AND TRANSFORMER ARCHITECTURES

Tạp chí Khoa học
This study addresses the challenge of effectively detecting phishing email campaigns that exhibit increasingly sophisticated and sequential behaviors.
Dang Thi Hien*, Tran Thi Duyen
doaj   +1 more source

A Comprehensive Review of GAN‐CNN Hybrid Methods for Intelligent Fault Diagnosis of Rotating Machinery

Engineering Reports, Volume 8, Issue 10, October 2026.
This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa, Fasikaw Kibrete, Yitbarek Gashaw Tadesse, Abdu Mohammed Seid, Sewale Yasabu Enyew, Getachew Getu Enyew, Mulugeta Linger Tariku, Zewdie Alemayehu Mulat   +7 more
wiley   +1 more source

A Lagrangian Time‐Series Machine Learning Framework for Predicting Concentrations and Exploring Drivers of Atmospheric Aerosols: Model Development and Application to Cloud Condensation Nuclei in Marine Boundary Layer

Journal of Advances in Modeling Earth Systems, Volume 18, Issue 10, October 2026.
Abstract Atmospheric aerosols play critical roles in climate and air quality. Accurately assessing their environmental impacts requires understanding aerosol abundance, distribution, and the key factors and processes that control them. Although machine learning is increasingly used in predicting aerosol concentrations, its application in exploring ...
Shengqian Zhou, Dong Qi, Hanyang Liu, Yevgeniy Vorobeychik, Jian Wang   +4 more
wiley   +1 more source

Day-Ahead electricity price forecasting using a CNN-BiLSTM model in conjunction with autoregressive modeling and hyperparameter optimization

The inherent volatility in electricity prices exerts a significant impact on the dynamic nature of the electricity market, shaping the decision-making processes of its stakeholders.
Mubarak, Hamza, Innocent Kamwa, Mubarak, H, Abdellatif, A, Kamwa, Innocent, Shameem Ahmad, Hamza Mubarak, Abdul Mannan, M, Zohurul Islam, M, Ahmad, S, Abdellatif, Abdallah, Muyeen, S. M., Muyeen, SM, Abdul Mannan, Mohammad, S.M. Muyeen, Ahmad, Shameem, Zohurul Islam, Mohammad, Kamwa, I, Mohammad Zohurul Islam, Abdallah Abdellatif, Mohammad Abdul Mannan   +20 more
core   +1 more source

Individual bird identification by modelling temporal structure in bioacoustic embeddings

Methods in Ecology and Evolution, Volume 17, Issue 10, Page 2909-2927, October 2026.
Abstract Identifying individual animals from vocalizations is an emerging research area in computational bioacoustics. This non‐invasive approach reduces reliance on physical capture and tagging for wildlife monitoring. Recent advances in this area leverage deep learning and bioacoustic foundation models adapted from species‐level classifiers. However,
Jonathan Gallego, Juan D. Martinez‐Vargas, José D. López   +2 more
wiley   +1 more source

Gait Data Synthesis for Smartphone User Authentication

Computational Intelligence, Volume 42, Issue 5, October 2026.
ABSTRACT Gait, the distinctive and natural pattern of an individual's walking behavior, has emerged as an effective biometric for user authentication. Its ability to operate without active user involvement, along with its resistance to replication, makes it particularly well‐suited for continuous smartphone authentication.
Jiwoo Choi, Sangil Choi, Taewon Kang
wiley   +1 more source

Selective tensorized hybrid Bilstm model for water quality precursor detection

Precursors in multivariate time series (MVTS) data play a critical role in predicting significant events, especially in domains like water quality monitoring.
Jothi, J.A.A., Anjana, K.V., Urolagin, S.   +2 more
core   +1 more source