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Heterogeneous SoCs enhance system performance across various applications. However, managing and integrating components, interfacing hardware and software, and overseeing shared resources pose significant challenges for ...

Power electronic systems in autonomous vehicles and mission-critical applications are highly susceptible to overheating due to operational inefficiencies. These systems often rely on liquid cooling loops to maintain safe...

In this paper, a near-field integrated sensing and communication (ISAC) using a multi-waveguide pinching antenna system (PASS) is proposed, where discrete radiating particles are flexibly clamped along multiple dielectri...

Digital health increasingly relies on artificial intelligence for clinical decision-making, patient management, and distributed learning, yet two persistent challenges remain: the computational complexity of optimization...

In an environment of increasingly fierce geopolitical competition and an unprecedented technological revolution, public and strategic focus often gravitates towards military hardware: autonomous drones, hypersonic missil...

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...

Abstract This study examines the widening gap between the availability and actual utilization of digital infrastructure in teacher training institutions, particularly within the Ghanaian context. Despite significant nati...

Abstract Grid-connected renewable energy systems with high penetration rates exacerbate frequency fluctuations in microgrids, making traditional control methods ill-suited for random source-load variations. This paper pr...

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...

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...

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...

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 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 (...