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The study examined the computer literacy levels among extension officers employed by the Ministry of Agriculture in Botswana. The research was motivated by the growing demand for digital competence among extension worker...

Traumatic paraplegia, resulting from spinal cord injury, leads to severe motor dysfunction, with limited efficacy and high risks associated with conventional treatments. Brain-computer interface (BCI) has emerged as a pr...

The invasive brain-computer interface (BCI) is a method that involves implanting microelectrodes into brain tissue to collect neural electrical signals. The signals obtained through this method are often of high precisio...

Brain–computer interfaces (BCIs) based on motor imagery (MI) provide a transformative direct communication pathway for patients with severe motor disabilities. However, the high inter-subject variability and non-statio...

Abstract Brain-computer interfaces (BCIs) were initially created to help individuals with disabilities control devices and communicate without muscle movement. Today, BCIs are used for prosthetic control, cognitive enhan...

Objective: This paper tackles the cross-sessions variability of electroencephalography-based brain-computer interfaces (BCIs) in order to avoid the lengthy recalibration step of the decoding method before every use. Meth...

Over the past decade, mobile devices have become an integral part of our daily routines, offering a broad spectrum of applications that enhance everyday tasks. As more people adopt smartphones, developers are increasingl...

The proliferation of mobile technology has prompted the use of tablet devices in the cockpit and during ground operations in general aviation. Due to the increase in affordable and reliable hardware (i.e. iPads etc.), th...

The rapid proliferation of digital devices has generated vast amounts of data, presenting significant challenges in collection, processing, and analysis that traditional systems struggle to overcome. This study investiga...

Hundreds of thousands of companies all over the world use computers, with different software products and other useful applications. Nowadays, businesses need these modern tools. In the current digital economy, where ...

Face-recognition technology is one of the most important advancements in the field of computer vision. They play a crucial role in many applications, including biometric authentication, surveillance, online security, and...

This paper introduces Omega, the Ocean Model for E3SM Global Applications. Omega is a new ocean model designed to run efficiently on high performance computing (HPC) platforms, including exascale heterogeneous architect...

Low-resolution images often lack fine detail and are prone to blurring, noise, and distortions, making accurate assessment challenging. This issue becomes even more challenging for applications, such as land mapping, env...

Open-source AI has become integral to global AI applications. Yet success in open-source AI systems does not arise from openness alone; it rests heavily on management that aligns heterogeneous actors, addresses benefit c...

The further promotion and application of new media technologies present new opportunities for psychiatric specialty hospitals in areas such as health education, doctor-patient communication, service extension, and brand ...

This paper examines the impact of parallelism models and the Global Interpreter Lock on the performance of Python applications interacting with an analytical DBMS. The study focuses on typical workloads that include data...

Abstract We introduce quantum Kolmogorov-Arnold networks (QKAN), a quantum algorithmic framework inspired by the recently proposed Kolmogorov-Arnold Networks (KAN). QKAN inherits the compositional structure of KAN and is...

This article provides an in-depth analysis of how virtual and augmented reality (XR) application development has evolved since the emergence of affordable XR hardware in the mid-2010s. Based on surveying 158 XR developer...

Today, Artificial Intelligence (AI) has permeated across diverse disciplines, professional sectors, and recreational activities. Translation and interpreting are two sectors in which AI is becoming increasingly important...

Metalenses, with their compact form factor and unique optical capabilities, hold tremendous potential for advancing computer vision applications. In this work, we propose a high-resolution, large field-of-view (FOV) meta...

Background Female Technology (FemTech) apps are increasingly used worldwide, but perspectives from Arabic-speaking users remain underreported. Understanding user priorities in this context is critical for culturally rele...

The detection and tracking of head movements have been such an active area of research during the past years. This area contributes highly to computer vision and has many applications of computer vision. Thus, several me...

All pilots are required to calculate aircraft performance parameters prior to flight. This includes takeoff and landing distances. Traditionally, pilots in training have planned for takeoff and landing performance using ...

Background: Recent years have witnessed a surge in the integration of digital intelligence within dental education, with various technologies increasingly supporting clinical skill training and educational applications. ...