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One of the most severe consequences of two wheeler accidents is the occurrence of head and spinal injuries, which often cause long term disability or even death. The cervical spine, located in the neck area, is particula...

Introduction. Recently, multilevel inverters (MLIs) have been widely investigated for industrial and renewable energy systems as they are valuable in applications where they can produce clean, high-fidelity electrical si...

The purpose of this qualitative study was to determine how small sub-directorates within larger organizations develop strategy to accomplish expansive legacy infrastructure re-engineering. There is significant, historica...

Abstract Background Actigraphy is widely used in research settings to objectively assess sleep–wake patterns; however, inconsistencies in device algorithms, hardware capabilities, and scoring procedures pose challenges...

The increasing integration of inverter-interfaced renewable energy sources has significantly changed the dynamic characteristics of modern power systems, resulting in a substantial decline in effective system inertia and...

Abstract Recognizing tactical formations is a critical task in professional football performance analytics. However, existing methods often fail to capture the dynamic and continuously evolving nature of modern tactical ...

This article presents the design and experimental validation of a 25-kW bidirectional DC/DC converter employing a dual DAB-CLLC resonant architecture to achieve high efficiency across an ultrawide 200–1000-V opera...

Abstract Substantial efforts have been made to modernize and decarbonize the waste collection industry. Smart sensor-based waste collection (SWC) systems have been developed to optimize collection routes based on the act...

This paper analyzes the statistical toolkit of Eurostat for collecting and processing data on the implementation of Artificial Intelligence (AI) in enterprises across European Union (EU) countries. The study defines the ...

Abstract DriveEmo-FL presents a privacy-preserving, radar-based emotion-recognition framework tailored for autonomous-vehicle (AV) cabins. Leveraging a compact embedded mmWave radar, the system captures upper-body emotio...

Efficient current control in boost converters is critical for electric vehicle (EV) battery charging applications, where dynamic operating conditions challenge conventional control strategies. This paper presents a novel...

In the effort to digitize Micro, Small, and Medium Enterprises (MSMEs) at DINKOPUKM Salatiga, several issues have been identified. These include recurring disruptions to wifi during operational activities, computers with...

Use cases for emerging quantum computing platforms become economically relevant as the efficiency of processing and availability of quantum computers increase. We assess the performance of Restricted Boltzmann Machines (...

Brain-inspired neuromorphic computing systems require hardware components analogous to biological neurons and synapses. Honey based natural organic memristor has demonstrated promising nonvolatile memristive behaviors, w...

The remarkable success of large language models (LLMs) in code generation has transformed software development, with systems like Codex, CodeGen, and StarCoder demonstrating strong capabilities in synthesizing functional...

The Security systems using cameras as monitors or what is commonly known as Closed Circuit Television (CCTV) have recently become more prevalent. However, to have a monitoring system or monitoring requires a fairly expen...

This paper addresses the growing need for implementing intelligent Natural Language Processing (NLP) systems on low-power, memory-limited devices such as Raspberry Pi, mobile phones, and IoT edge hardware. As edge comput...

The research focuses on the analysis of the accuracy of attitude determination using satellite measurements from a multi-antenna Global Navigation Satellite System (GNSS). Carrier phase satellite measurements are charact...

Legged robots, particularly quadrupeds, have emerged as an essential research focus for traversing unstructured environments where wheeled systems are limited. This paper presents a novel Multi-Level Cognitive Control Ar...

Abstract Thermal stress in electric two-wheeler hub motors is a major bottleneck affecting drivetrain reliability, safety, and efficiency—especially under varied terrain, aggressive riding profiles, and sensor reliabil...

This study presents a simulation-based evaluation of a hybrid fiber Bragg grating (FBG) temperature estimation framework combining the extended Kalman filter (EKF) and unscented Kalman filter (UKF) for electric vehicle (...

Abstract The growing deployment of grid-connected voltage source inverters (GC-VSIs) in the smart grids poses some significant issues that include harmonic distortion, grid impedance fluctuations, nonlinear loading, and ...

Efforts to harness quantum hardware relying on quantum mechanical principles have been steadily progressing. The search for novel material platforms that could spur the progress by providing new functionalities for solvi...

Materias / palabras clave: Computer science; Flexibility (engineering); Dynamic programming; Software; Throughput; Index (typography); Sensitivity (control systems); Parallel computing; Algorithm; Computer hardware; Programming language; Operating...