2025 November-2 - 195 articles
Accurate detection of wildlife on the Tibetan Plateau is particularly challenging due to complex natural environments, significant scale variations, and the limited availability of annotated data. To address these issues, we propose a semantic-guided...
The leakage inductance of high-frequency transformers (HFTs) is a critical parameter affecting the performance of power electronic equipment, such as DC-DC converters. During the transformer design phase, by precisely calculating and retaining an app...
Multi-Document Summarization (MDS) is a critical task in natural language processing that aims to condense document clusters into concise and comprehensive summaries. However, existing approaches based on large language models (LLMs) often lack struc...
The integration of the Internet of Things (IoT) has become essential in our daily lives. It plays a core role in operating our daily infrastructure from energy grids and water distribution systems to healthcare and household devices. However, the rap...
With the escalating demand for electromagnetic spectrum resources in the 5G/6G era, efficient management of the electromagnetic space has become a critical challenge. This paper proposes the concept of an Electromagnetic Digital Twin (EDT) and an inn...
In recent years, Single-Image Super-Resolution (SISR) has gained significant attention in the geoscience and remote sensing community for its potential to improve the resolution of low-quality underwater imagery. This paper introduces MIMAR-Net (Mult...
This paper discusses the method for extending the range of Magnetic Induction (MI) and its application in underwater networks for the Internet of Underwater Things (IoUT). In underwater communication, this technology would provide a wider frequency b...
This paper proposes a super-twisting sliding mode observer-based model-free current controller (ST-MFCC) for permanent-magnet synchronous motor (PMSM). First, the mathematical model of the PMSM is established, and the model dependence of the deadbeat...
Despite advancements in mitigating stray current in railway systems, and their impact on nearby installations (i.e., pipelines), challenges remain, necessitating ongoing research and close collaboration between academia and the railway industry. This...
This study presents a high-speed, 9-bit integrating-mode phase interpolator (IMPI) in a 12 nm FinFET process. The proposed slew-rate-tolerant design accepts bandwidth-limited inputs, relaxing the stringent need for high-slew-rate clocks found in prio...
Despite notable advances in load forecasting and fault detection, current power system operation and maintenance (O&M) technologies remain fragmented into independent and primarily reactive modules. Load forecasting estimates future demand, where...
The increasing environmental impact of electronic waste has intensified the pursuit of sustainable materials for manufacturing green electronics. This study presents the development of lignin-based hybrids with multi-walled carbon nanotubes (MWCNTs)...
Additive manufacturing (AM) offers significant potential for producing complex, cost-effective, and high-performance components in the radio frequency and microwave industry. To significantly benefit from the manufacturing and design freedoms AM offe...
The Rate of Penetration (ROP) during drilling is nonstationary and exhibits coupled local fluctuations, which makes it challenging to model for accurate prediction. To address the challenge of modeling multi-scale temporal dependencies in drilling, t...
In wireless sensor networks (WSNs), node localization technology serves as a critical foundation for Internet of Things (IoT) applications such as environmental monitoring and ecological protection. High-precision localization has long been a key cha...
Virtual reality (VR) learning environments can provide enriched, effective educational experiences by heightening one’s sense of immersion. Consequently, virtual agents (VAs) capable of complementing or substituting human instructors are gainin...
Low-light images commonly suffer from insufficient contrast, noise accumulation, and colour shifts, which impair human perception and subsequent visual tasks. We propose MambaDPF-Net—a dual-path fusion framework based on the retinal effect, adh...
Sensor faults can produce incorrect data and disrupt the operation of entire systems. In critical environments, such as healthcare, industrial automation, or autonomous platforms, these faults can lead to serious consequences if not detected early. T...
This study presents the development and validation of an unobtrusive automatic sleep quality assessment index (ASQI) designed for elderly individuals. The proposed method utilizes features such as sleep duration, sleep latency, and sleep efficiency,...
To address the issues of incomplete indicator coverage and dynamic weights not aligning with changes in the external environment in the evaluation of equipment group capability adaptability—resulting in biased evaluation results and poor applic...
The rapid development of Internet of Things (IoT) devices has raised challenges in hardware security, as these devices often transmit sensitive data. Physically Unclonable Functions (PUFs) provide a promising approach to address such security concern...
As power electronic converters increase in scale, impedance measurement has become critical for assessing system stability, detecting islanding, and performing other critical analyses. This paper derives the impedance from the voltage and current res...
Infrared small target detection (IRSTD) is hindered by low signal-to-noise ratios, minute object scales, and strong target–background similarity. Although long-range skip fusion is exploited in SCTransNet, the global context is insufficiently c...
Lyophilized Vial is the primary packaging form for injectable pharmaceuticals. However, conventional vision-based inspection methods have shown limited effectiveness in detecting Lyophilized Vial defects. Because the defect regions in Lyophilized Via...
Software-Defined Networking (SDN) provides centralized control over routing paths through a logically centralized controller. Although Graph Neural Networks (GNNs) such as GraphSAGE have shown strong potential for network topology analysis, their sup...
The rapid proliferation of photovoltaic (PV) generation has transformed conventional distribution systems, resulting in frequent reverse power flow (RPF) and associated overvoltage issues. This paper presents a deep reinforcement learning (DRL)-based...
Conventional waveform-based speech enhancement models prioritize temporal modeling, often neglecting the irreversible spectral information loss triggered by standard downsampling. Consequently, this study introduces a novel frequency-aware framework....
Distributed photovoltaic power generation is volatile and intermittent, and its power generation is usually difficult to accurately predict. Previous studies have focused on physical or mathematical modeling methods, and it is difficult to grasp the...
The choice of a suitable isolated and bidirectional DC/DC converter (IBDC) topology is an important step in the design of a bidirectional electric vehicle (EV) charging system. In this context, six 10 kW rated silicon carbide (SiC) metal–oxide&...
Knowledge graphs (KGs) have emerged as fundamental infrastructures for organizing structured information across a wide range of AI applications. Practically, KGs are often incomplete, which limits their effectiveness. Knowledge Graph Completion (KGC)...
This paper presents a new operational transconductance amplifier (OTA) design for batteryless biomedical front-ends. The proposed OTA operates in the subthreshold region and utilizes self-cascode devices to achieve ultra-low power, low noise, and a h...
Cyber-physical power systems integrate sensing, communication, and control, ensuring power system resiliency and security, particularly in clustered networked microgrids. Software-Defined Networking (SDN) provides a suitable foundation by centralizin...
To address the vibration issues in bearingless interior permanent magnet synchronous motors (BIPMSMs) caused by rotor mass unbalance and inverter dead-time (DT) effects during operation, a vibration suppression strategy based on a Proportional–...
This study presents a digitally controlled, combined pulse-width and pulse-density modulator (PWDM) that leverages the inherent pulse-width modulation associated with natural binary counting. The proposed approach involves combining the individual bi...
Accurately evaluating multi-core embedded systems remains a major challenge, as existing benchmarking methods and tools fail to reproduce realistic workloads with inter-core contentions. This study introduces a benchmark framework for Linux-based emb...
Against the backdrop of rapidly growing distributed photovoltaics (DPVs) and mounting pressure on conventional frequency-regulation (FR) resources, this study proposes a day-ahead–intraday two-stage optimal scheduling strategy for aggregators o...
Accurate and label-free quantitative phase imaging (QPI) plays a crucial role in advancing diagnostic techniques that streamline histology and diagnostic procedures by minimizing sample preparation time, resources, and requirements. Although Digital...
Three-dimensional Human Reconstruction from Monocular Vision is a key technology in Virtual Reality and digital humans. It aims to recover the 3D structure and pose of the human body from 2D images or video. Current methods for dynamic 3D reconstruct...
In this article, a dedicated testing system is developed to realize low-delay threshold voltage (VTH) characteristic testing of silicon carbide (SiC) MOSFET devices after an avalanche stress. The developed low-delay testing system enables VTH detecti...
The advent of fifth-generation (5G) networks has enabled cellular vehicle-to-everything (C-V2X) communication, requiring the efficient delivery of large volumes of real-time vehicular data under stringent latency and reliability constraints. At the a...
Digital image watermarking is a vital tool for copyright protection and content authentication. However, most existing methods perform well only under single noise types, while real-world applications often involve composite noises with multiple dist...
Connected and autonomous vehicles, along with the expanding Internet of Vehicles (IoV), are increasingly exposed to complex and evolving cyberattacks. Consequently, Intrusion Detection Systems (IDS) have become a vital component of modern vehicular c...
Large Language Models (LLMs) and Multimodal Models (LMMs) are significantly influencing scientific research, including archaeology—a discipline dealing with uniquely complex, multimodal data. This comprehensive review systematically examines re...
Traditional methods for patient cohort identification from Electronic Health Records (EHRs) are often slow, labor-intensive, and fail to capture the rich semantic nuance embedded in unstructured clinical narratives. This paper introduces a scalable,...
The soft-sensor model (SSM) has been widely used for monitoring water quality, operational state, and performance evaluation in wastewater treatment process (WWTP). However, due to serious dynamics in WWTP under different working conditions, SSM face...
In this study, the authors propose a solution for implementing a digital signature system using the post-quantum digital signature scheme Falcon on the FPGA hardware platform XC7A35T-CPG236. The system is combined with a software component developed...
Internet of Things (IoT) devices are increasingly deployed in homes and enterprises, yet they face a rising rate of cyberattacks. High-quality Cyber Threat Intelligence (CTI) is essential for data-driven, deep learning (DL)-based cybersecurity, as st...
Autonomy is enabled by the close connection of traditional mechanical systems with information technology. Historically, both communities have built norms for validation and verification (V&V), but with very different properties for safety and as...
With the increasing adoption of virtual reality (VR) in research and training applications, reliable stress detection in naturalistic settings remains challenging, particularly when hardware complexity must be minimized. This study presents an enhanc...
By leveraging retrieval-augmented generation technology in human–computer interaction applications, a large language model was established based on local hardware to construct a root cause query model for equipment failures on virtual power pla...
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