Cracking the code: How a 'prediction machine' is resurrecting the Singapore Stone

Several years ago, my linguistic research team and I began developing a computational tool we call "Read-y Grammarian." Our ...
Scientific Research Publishing

UWB NLOS Signal Recognition Based on Deep Learning ()

Sight, Deep Learning, Convolutional Neural Network, Long Short-Term Memory, Self-Attention Mechanism Share and Cite: Li, G. , Wei, G. and Xi, Z. (2026) UWB NLOS Signal Recognition Based on Deep ...
Scientific Research Publishing

Cybersecurity and Forensic Audio Analysis: Deepfake Detection Based on Mfcc, Audio-Text Disconsistency, and Prosodic Features ()

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...
Devdiscourse

Next-gen AI biosensors promise faster, smarter pandemic surveillance

Support vector machines improve classification by mapping inseparable signals into higher-dimensional spaces. Random forest models, through ensemble decision trees, increase robustness against ...
Devdiscourse

Big Data and AI propel geoscience into new digital era

A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
The Manila Times

Qifeng Hu streamlines Intelligent Tax Data Management and Anti-Fraud Technology Through Statewide System Implementation and Federal-State Integration

An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...
IEEE

Personalized federated learning algorithm based on composite feature extractor

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...
IEEE

A Feature-Extraction-and-Classification-Integrated Framework for Transformer Fault Diagnosis Using Restricted Boltzmann Machine and Support Vector Machine

Accurate power transformer fault diagnosis is crucial for power system reliability, but traditional gas ratio rule- and expert experience-based methods suffer from strong subjectivity and poor ...