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Open access

ISSN: 2666-3074

Predicting the types of physical activities using data from apple watch and fitbit devices based on machine learning (ML) methods

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

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

•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...

Tennis teaching assistance model based on double chain shared unsupervised action recognition algorithm

•A novel double chain shared unsupervised action recognition algorithm is proposed for tennis teaching, enhancing both training quality and accuracy.•The algorithm integrates a dual chain shared structure,...

The application of GCN algorithm in Building Construction Knowledge Graph updating under the combination of artificial intelligence and knowledge management

•Deep learning and computer vision integration: Research combines deep learning and computer vision technology to improve knowledge graph updating in building construction applications.•Zero sample...

Design of news sentiment classification and recommendation system based on multi-model fusion and text similarity

•The study proposes a sentiment classification method that combines multiple models and a recommendation algorithm based on text similarity calculation to enhance the performance of the news recommendation...

Speech emotion recognition algorithm of intelligent robot based on ACO-SVM

•An ACO-SVM robot speech emotion recognition model is proposed, and its recognition accuracy is improved significantly.•Multilevel classification strategy and novel algorithm are combined to solve the...

Enhanced priority based task scheduling with integrated fault tolerance in distributed systems

•Novel Task Scheduling Metric: Introduces a novel ranking metric for task scheduling in cloud computing, improving upon traditional replication and checkpointing methods.•Priority-Based Fault Tolerance:...

An interactive address matching method based on a graph attention mechanism

Modernizing and standardizing place names and addresses is a key challenge in the development of smart cities....

MED-AGNeT: An attention-guided network of customized augmentation of samples based on conditional diffusion for textile defect detection

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,...

ECG-based transfer learning for cardiovascular disease: A scoping review

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...

Prenatal depression level prediction using ensemble based deep learning model

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

•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

•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...

Smart real-time detection of risky roads using vehicles trajectories for intelligent transportation

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....

Adaptive traffic prediction model using Graph Neural Networks optimized by reinforcement learning

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

•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

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

•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

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

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

•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...

Design and implementation of classical literature sentiment analysis system based on ensemble learning and graph neural network

•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...

Optimal path planning based on ACO in intelligent transportation

•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...

Artificial intelligence-inspired comprehensive framework for desertification prediction

Desertification greatly affects land deterioration, farming efficiency, economic growth, and health, especially in Gulf nations. Climate change has worsened desertification, making developmental issues...

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