ECG-based transfer learning for cardiovascular disease: A scoping review
December 2025
An electrocardiogram (ECG) measures the electrical activity of the heart. It is valuable for the early detection of cardiovascular disease (CVD). Advancements in medical diagnosis using artificial intelligence...
Image clearness processing for image restoration based on generative adversarial networks
December 2025
•Innovative technique combining GANs and multi-scale attention mechanism.•Superior image restoration results and high PSNR values.•Enhanced stability and low error for improved image recognition ac...
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...
Deep learning for object recognition: A comprehensive review of models and algorithms
December 2025
The rapid advancements in artificial intelligence (AI) and machine learning (ML) have significantly enhanced progress in computer vision, opening doors to innovative technological possibilities and...
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...
An improved quantum-inspired particle swarm optimisation approach to reduce energy consumption in IoT networks
December 2025
•Energy-efficient clustering of IoT networks is formulated as a mathematical program that takes into account all the energy constraints and promotes the selection of routing paths that minimize energy...
Empirical research on the evolution trend of heat and sentiment for emergencies
December 2025
Emergencies inflict heavy casualties, economic losses, ecological damage, and significant social harm to society. By segmenting information topics and analysing emotional shifts, we can identify corresponding...
AI-based model for securing cognitive IoT devices in advance communication systems
December 2025
The pervasive integration of the Cognitive Internet of Things (CIoT) in advanced communication systems has significantly heightened security concerns due to inherent vulnerabilities that cyber attackers...
Smart real-time detection of risky roads using vehicles trajectories for intelligent transportation
December 2025
Indeed, risky roads have a negative impact on traffic by causing road injuries with fatalities, which can lead to negative emotional, social, and economic influences on humans, countries, and the world....
Application of the vision-based deep learning technique for waste classification using the robotic manipulation system
December 2025
To maintain a green society, efficient waste management is crucial. Traditional manual trash sorting presents several challenges, including inaccuracies in classification and potential health risks...
Cognitive AI and implicit pseudo-spline wavelets for enhanced seismic prediction
December 2025
Using data from 1900 to 2024, this study developed an innovative artificial intelligence (AI)-powered framework for predicting earthquakes in Japan. By incorporating state-of-the-art cognitive computing...
Examining finite-time behaviors in the fractional Gray–Scott model: Stability, synchronization, and simulation analysis
December 2025
This paper investigates the behavior and stability of the fractional-order Gray–Scott model, with a specific focus on achieving finite-time stability and synchronization. It introduces essential concepts,...
Optimal path planning based on ACO in intelligent transportation
December 2025
•Proposal for algorithm integrating reward and punishment strategies with genetic ant colony for optimal path planning in intelligent transportation.•Integration of genetic algorithm and ant colony...
Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties
December 2025
As a staple food feeding over half of the world’s population, rice needs well defined classification techniques to improve agricultural yields, the supply chain, and food safety. To meet these needs,...
Artificial intelligence-inspired comprehensive framework for desertification prediction
December 2025
Desertification greatly affects land deterioration, farming efficiency, economic growth, and health, especially in Gulf nations. Climate change has worsened desertification, making developmental issues...
Adaptive traffic prediction model using Graph Neural Networks optimized by reinforcement learning
December 2025
Traffic prediction is critical for urban planning and transportation management, with significant implications for congestion reduction, resource allocation, and sustainability. Traditional statistical...
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...
Exploring insights on deep learning-based photovoltaic fault detection for monofacial and bifacial modules using thermography
December 2025
Routine maintenance of photovoltaic (PV) power plants is critical to mitigate module faults, which can result from environmental factors, reducing power output and accelerating module degradation. To...
Enhancing elderly care services through integrated sentiment analysis and knowledge reasoning: A deep learning approach
December 2025
•Enhanced Emotion Recognition in Elderly Care: The study presents a comprehensive care model for elderly care service robots that integrates sentiment analysis and knowledge reasoning, achieving an...
Development of an efficient method for object detection and localization in 3D space using RGBD cameras for autonomous systems
December 2025
The work presents an efficient algorithm for object detection, orientation estimation, and isometric positioning in 3D space using RGBD camera data. The goal of the study is to improve the accuracy...
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...
An efficient and high-performance WSNs restoration algorithm for fault nodes based on FT in data aggregation scheduling
December 2025
•Introducing the fat tree structure to study the performance of wireless sensor fusion scheduling.•A unified shielding algorithm has been proposed for all types of faulty nodes.•The fat tree constructed...
A novel region based neighbors searching classification algorithm for big data
December 2025
•The proposed Region Based Neighbors Searching Classification Algorithm (RNSCA) dynamically segments datasets into regions, enabling precise relationship analysis between test samples and existing points.•Point-wise...
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...
Integrating environmental clustering to enhance epidemic forecasting with machine learning models
December 2025
The COVID-19 pandemic underscored the urgent need for more accurate and adaptive forecasting models to support public health decision-making and limit disease spread. However, many existing models overlook...