Pavement maintenance is a critical aspect of transportation and infrastructure management, as it directly impacts traffic flow, vehicle maintenance, safety and accident rate. Effective prediction and prevention of pavement deterioration are essential for optimizing pavement maintenance strategies, r...

Social media has significantly transformed the digital landscape by enabling an unprecedented expansion of content, further accelerated by the COVID-19 pandemic, which increased the demand for online classes, virtual meetings, and recorded conferences. While major technology companies have previousl...

This study presents an intelligent automated system for real-time detection and classification of tomato diseases using a Convolutional Neural Network (CNN) integrated within an Internet of Things (IoT) based unmanned ground vehicle (UGV). The CNN was trained and evaluated using a dataset comprising...

The use of personal protective equipment (PPE) has gained universal acceptance as a critical measure for safeguarding individuals against hazardous environments, including exposure to infectious agents and harmful substances. The increased use of PPE across various industries has resulted in a signi...

This study addresses the challenge of estimating parameters iteratively in bilinear state-space systems affected by stochastic noise. A Newton iterative (NI) algorithm is introduced by utilizing the Newton search and iterative identification theory for identifying the system parameters. Following th...

Predicting personality traits automatically has emerged as a challenging problem in computer vision. This paper introduces an innovative multimodal feature learning framework for personality analysis in short video clips. For visual processing, we construct a facial graph and design a Geo-based two-...

To address the performance degradation of traditional data association algorithms caused by unknown target motion models, environmental interference, and strong maneuvering behaviors in complex dynamic scenarios, this paper proposes an innovative fusion algorithm that integrates reinforcement learni...

This study evaluated the potential of readily available Indian soils, red soil (Bengaluru) and black cotton soil (Belgaum), as sustainable and cost-effective alternatives to synthetic landfill liners for heavy metal containment. Utilizing Scanning Electron Microscopy (SEM) and Energy-Dispersive Spec...

As the Editor-in-Chief, I am excited to introduce our forthcoming journal, ICCK Transactions on Drone Systems. The journal is committed to advancing drone systems by offering a platform that enables researchers, industry experts, and regulatory authorities to exchange ideas that support ongoing rese...

Neural network-enhanced machine learning is revolutionizing cybersecurity by enabling real-time detection of anomalous activities and proactive prevention of unauthorized access in large-scale networks. Traditional security measures often prove ineffectual in the face of the fast-developing threats,...