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Abstract The driver-automation shared driving is a transition to fully-autonomous driving, in which human driver and vehicular controller cooperatively share the control authority. This paper investigates the shared stee...

To address the challenges of hardware integration and system complexity in laboratory automation, this work introduces a universal platform built on two key innovations. First, a standardized instruction framework unifie...

This study examines the potential impact of Large Language Models (LLMs) on the Ukrainian labor market. For the first time, it attempts to estimate the share of employees that can be replaced by generative AI technology ...

Abstract The ever-growing and increasing diversity of IoT ecosystems, the seamless interoperability, scale, and near real-time automation have remained grand challenges. This paper presents a solution enterprise semantic...

The article examines current approaches to optimizing the operating modes of distributed technical systems based on automation and intelligent control technologies, using the example of 10 kV electric networks. The analy...

Solid dosing is a tedious and time-consuming task in everyday laboratory work. Manual solid dosing can cause several health issues due to handling of toxic materials or posture errors. Automated solid dosing technologies...

Abstract The aviation industry has, no doubt, undergone profound transformations ever since the first powered aircraft flight on December 17, 1903. An especially noticeable aspect of the transformations is in the area o...

Chemistry programmes worldwide are experiencing declining student enrolment, reflecting shifting career perceptions and competition from emerging fields. This comment outlines how the discipline is evolving into an integ...

In recent years, Large Language Models (LLMs) and Generative Artificial Intelligence (GenAI) have gained significant momentum in the automation of software development. Although, previous research studies have also explo...

An ubiquitous computation environment has as presupposed that the computation is in all equipment and devices, and these are interacting between itself and with the people. The connection between objects and human beings...

Statistical testing with Markov Chain Usage Models is an effective method to be used by programmers and testers during web sites development, to guarantee the software reliability. The JUMBL software works on this models...

Healthcare systems operating under emergency and high-demand conditions face persistent challenges in coordinating medical personnel, managing critical documentation, and ensuring data security and regulatory compliance....

Macromolecular crystallography provides mechanistic understanding of biological processes and can be applied in drug design. Nowadays, the use of robotic systems for crystal growth and diffraction analysis is widespread ...

Drug discovery research faces significant challenges, with around 90 % of candidate drugs failing in clinical trials. Traditional animal models do not always accurately reflect human physiology and pathology, leading to ...

This study focuses on implementing PowerApps to automate and optimize the calculation of the carbon footprint at ABB, a company dedicated to industrial process automation in the mining sector. The implementation not only...

This study presents a novel, modular 3D printing system for the scalable production of microbially induced calcium carbonate (CaCO3) precipitation (MICP) produced bio-materials. Through modular design principles and oper...

In the automation of life science experiments, verifying and recording the types, positions, and states of labware are essential for quality assurance and traceability of experimental results. To achieve this, researcher...

Generative artificial intelligence (AI) has transitioned into a collaborative creator in music composition, raising concerns about its impact on human creative agency. This study investigates how AI automation levels aff...

ABSTRACT Deep learning profoundly impacts various areas, such as face recognition and language translation. Owing to the increasingly high computational costs of training neural architectures, it is intractable to manual...

ABSTRACT: The integration of AI in dental practice, primarily through AI-enabled software, influences clinical workflows by promoting rapid decision-making and potentially increasing bias stemming from its automation bia...

Abstract Modern antenna design is an intrinsic undertaking. It relies heavily on expert knowledge and computational tools, especially electromagnetic (EM) simulation software. The most daunting phase is the development o...

The article focuses on the impact of digital transformation on social mobility and human capital development in the context of the digital economy and labor market transformations. The research aims to systematize modern...

Solvent evaporation, a ubiquitous yet often limiting step in chemical synthesis, routinely creates critical bottlenecks in research workflows. We introduce a novel benchtop solvent evaporation platform engineered to dram...

Abstract The integration of the sixth-generation (6G) communication technology and the Industrial Internet of Things (IIoT) has realized the intelligence and automation of industrial applications. However, due to the com...