Predicting the types of physical activities using data from apple watch and fitbit devices based on machine learning (ML) methods
December 2026
Apart from their communication and multimedia features, wearable health devices are highly practical for monitoring health status. The demand for wearable technologies and medical or health monitoring...
Augmentation of comorbidity assessment of peripheral artery disease using gait biomechanics with self-organization based learning model
December 2026
Peripheral artery disease (PAD) often complicates into serious complications, inclusive of Deep Vein Thrombosis (DVT), which worsens prevailing health complications, such as urinary complications and...
Enhancing web of things security using Harris hawks optimization with reinforcement learning
December 2026
•Proposed a novel Harris Hawks Optimization (HHO) based meta-learning framework to enhance Web of Things security using reinforcement learning.•HHO-optimized Deep Q-Network achieved superior performance...
A Multi-Graph Neural Network attention fusion framework for emotion-aware subgraph anomaly detection in social media fake news propagation
December 2026
Fake news on social media threatens civic trust and public safety, with emotionally charged content accelerating its spread through retweets, replies, and shares. This study addresses the challenge...
A dynamic and secure smart grid data aggregation scheme
December 2026
•Proposes a secure data aggregation scheme for dynamic users in smart grids.•Supports flexible user join/leave, enhancing robustness of data aggregation.•Employs batch authenticated digital signature...
Enhanced medical diagnostic reasoning in small language models using reinforcement learning
December 2026
Medical diagnosis is one of the most challenging cognitive tasks in healthcare, with diagnostic errors affecting millions of patients annually. Large Language Models (LLMs) have recently shown real...
Affective computing in smart city spaces: Research on emotion recognition and response mechanisms under a digital twin framework
December 2026
•Adaptive multimodal fusion via confidence-based dynamic weighting and multi-head spatiotemporal attention.•Edge-optimized: 86.3% accuracy, 48.2% fewer parameters, 64.1% faster inference on Jetson under...
Service placement in fog computing: A systematic review of issues, techniques and multi-objective optimization approaches
December 2026
Service placement in fog computing has emerged as a fundamental research problem for enabling latency-sensitive and resource-constrained Internet of Things (IoT) applications. Although numerous optimization...
HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization
December 2026
The explosive growth of complex datasets across various modalities necessitates advanced analytical tools that not only group data effectively but also provide human-understandable insights into the...
FusionNet: A feature transformation framework for multi-label malware detection
December 2026
Mobile malware exhibits diverse and evolving malicious behaviors, which naturally form a multi-label classification problem in mobile systems. Existing approaches rely on sparse feature representations...
A Hierarchical Meta-Learning Driven Adaptive Brain Region Flow Fusion Method for EEG-Based Emotion Recognition
December 2026
•A hierarchical meta-learning driven adaptive brain region flow fusion method (HMABRF) is proposed for EEG-based emotion recognition, which balances physiological prior consistency and data-driven flexibility...
Survey and recent advances in the honey badger algorithm: Variants and applications
December 2026
•The article provides a comprehensive review of HBA’s operational principles, strengths, limitations, evolutionary trajectory, and variations, including binary adaptations, modifications, and hybrid...
Large-small model collaboration for cross-stage hallucination suppression in trustworthy language models
December 2026
Large language models (LLMs) can generate fluent and informative responses, but they often produce factually incorrect content, especially when backbone retraining is expensive and deployment domains...
LLaMA-PG: A domain-knowledge-enhanced framework for verification property generation from BPMN models
December 2026
The integration of 5G and AI technologies in the industrial internet supports collaborative production systems that orchestrate temporary compositions of industrial components. These compositions should...
ViPoMo-SLR: An efficient multimodal framework for sign language recognition using visual, pose, and motion cues
December 2026
Sign Language Recognition (SLR) enables communication between deaf and hearing individuals. Usually, SLR systems often depend on single-modality inputs, viz., sensor data, RGB videos, etc., which do...
Polar loss: A novel IoU-free loss function for bounding box regression in FCOS for autonomous driving systems
December 2026
Accurate object detection is fundamental to the safety and reliability of autonomous driving systems. Among anchor-free frameworks, FCOS has proven to be an effective baseline thanks to its simplicity...
Object detection using YOLO oriented bounding box for robot grasping applications
December 2026
•A real-time grasping system is developed using YOLOv11 with Oriented Bounding Boxes (YOLOv11-OBB) for both object detection and classification.•The system integrates RGB-based grasp estimation and...
IoT-powered assistive technology for real-time translation of sign language
December 2026
Communication is a fundamental human right. However, millions of deaf individuals worldwide continue to face significant barriers in their daily interactions due to the lack of accessible communication...
A Systematic Literature Review of Quantum Machine Learning for Medical: Trends, Datasets, Topics, and Methods
Available online 10 May 2026
•Publication of QML in the medical field has grown rapidly since 2023, with IEEE as the leading source.•Medical image datasets (MRI, X-ray, CT) dominate, followed by biological signals (EEG, ECG) and...
Prenatal depression level prediction using ensemble based deep learning model
December 2025
Many people find that the emotional and mental strain of labor and delivery is greater than they anticipated. However, there are few reports on stress levels during pregnancy, and there is limited research...
Hybrid Models for Forecasting Allocative Localization Error in Wireless Sensor Networks
December 2025
•Objective: The study aims to predict Allocative Localization Error (ALE) in Wireless Sensor Networks (WSNs) using Machine Learning (ML) models to enhance data credibility and network productivity.•ML...
A network differentiation service method using DA-VNE algorithm
December 2025
•Novel virtual network mapping algorithm enhances latency performance significantly.•Intelligent traffic classification system outperforms traditional methods by a large margin.•Achieved remarkable...
Normalized SPSA for Hammerstein model identification of twin rotor and electro-mechanical positioning systems
December 2025
A wide range of optimization methodologies have been introduced for identifying Hammerstein model systems, but existing approaches often face challenges such as convergence instability, computational...
Design and implementation of classical literature sentiment analysis system based on ensemble learning and graph neural network
December 2025
•Proposes an innovative sentiment analysis system combining graph neural networks and ensemble learning to achieve refined analysis of classical literature, surpassing traditional methods' limitations.•Constructs...
MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection
December 2025
Fabric defect detection plays a vital role in ensuring the production quality of the textile manufacturing industry. However, in practice, there are relatively few manually annotated defective samples,...