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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...

Plant disease diagnosis in field settings is challenged by subtle symptomology, high inter-class visual similarity, and class imbalance, making automated detection particularly difficult. While deep learning models achie...

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 ...

Integration of Photovoltaic (PV) generation into oil and gas power networks has transformed fault behaviour by creating highly complex sensitivity challenges for conventional Overcurrent Relay (OCR) coordination and trip...

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...

Artificial intelligence (AI) is poised to usher in the fourth industrial revolution, highlighting the urgency and importance of China's independent development in information technology. Photonics-electronics convergence...

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 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...

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...

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...

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...

Ising machines, including quantum annealing machines, are promising next-generation computers for combinatorial optimization problems. However, due to hardware limitations, most Ising-type hardware can only solve objecti...

This work presents the workflow and supporting tools used to realize a 500 kW, ±10 kVdc MMC-based laboratory supply. Control Real-Time Hardware-in-the-Loop (RT-CHIL) simulations have played a key role in its devel...

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 (...

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...

This paper proposes a reinforcement learning framework for vision-based locomotion control of bipedal robots on complex, unstructured terrains, integrating privileged perception transfer, offline Transformer-based depth ...

This review provides a comprehensive introduction to the current state of optimization through quantum computing, as well as its main methods and highlights. It begins with an overview of the history and principles of qu...

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...

Due to the issues of low throughput and low time synchronization accuracy when traditional power timing terminals transmit communication data, a power timing terminal for novel power system communication network security...

In recent years, generative artificial intelligence represented by large language models (LLMs) and multimodal large language models (MLLMs) has achieved remarkable progress. These ultra-large-scale and complex models im...

We tackle the challenging problem of single-source domain generalization (DG) for medical image segmentation, where we train a network on one domain (e.g., CT) and directly apply it to a different domain (e.g., MR) witho...

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 (...

Virtual reality (VR) is one of the most common technologies nowadays, which make a virtual environment exactly similar to the real environment. The purpose behind this is to test several issues (designing or manufacturin...

Solar peer-to-peer (P2P) energy trading is a promising approach that allows prosumers and consumers to exchange energy directly, which reduces dependence on the centralized power grid. However, implementing such a P2P en...