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A comprehensive survey on machine learning approaches for fake news detection

A novel machine learning approach for detecting first-time-appeared malware

A review of recent advances in Internet of Things-based customer relationship management to improve customer satisfaction and loyalty in the airline industry

Advancing skin cancer classification across multiple scales with attention-weighted transformers

Alzheimer’s Disease Detection Using Deep Learning on Neuroimaging: A Systematic Review

Belt Conveyor Idlers Fault Detection Using Acoustic Analysis and Deep Learning Algorithm with the YAMNet Pretrained Network

CASSAD: Chroma-Augmented Semi-Supervised Anomaly Detection for Conveyor Belt Idlers

ConvADD: Exploring a Novel CNN Architecture for Alzheimer’s Disease Detection

Cross-Domain Fake News Detection Using a Prompt-Based Approach

Efficient Crowd Anomaly Detection Using Sparse Feature Tracking and Neural Network

Enhancing hierarchical attention networks with CNN and stylistic features for fake news detection

Fake news detection in low-resource languages: A novel hybrid summarization approach

Intrafraction motion and margin assessment for ethos online adaptive radiotherapy treatments of the prostate and seminal vesicles

The power of context: A novel hybrid context-aware fake news detection approach

A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models

A Comprehensive Review of Deep Learning Approaches for Animal Detection on Video Data

A Novel Deep Learning-Based Approach for Malware Detection

A Novel Vision Transformer Model for Skin Cancer Classification

A Review of the Recent Progress on Crowd Anomaly Detection

Does Context Matter? Effective Deep Learning Approaches to Curb Fake News Dissemination on Social Media

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