2025 March-2 - 180 articles
In this paper, we propose a novel deep dilated convolutional neural network (DDCNN) architecture to reconstruct periodic rough surfaces, including their periodic length, dielectric constant, and shape. Historically, rough surface problems were addres...
In this paper, the detection-aided ordering schemes are proposed for linear minimum mean-squared-error (LMMSE) iterative soft interference cancellation (ISIC) in multiple-input multiple-output (MIMO) systems. Unlike the conventional LMMSE-ISIC orderi...
With the rapid development of multimodal prompt learning in unsupervised domains, prompt tuning has demonstrated significant potential for dense counting tasks. However, existing supervised methods heavily rely on annotated data, limiting their gener...
This paper, taking as reference channel data previously obtained by using a rigorous and well-tested ray-tracing method for a concentrated massive multiple-input multiple-output (mMIMO) system, focuses on the optimization of the set of potential ante...
Graphimages, which represent data structures through nodes and edges, present significant challenges for clustering due to their intricate topological properties. Traditional clustering algorithms, such as K-means and Density-Based Spatial Clustering...
Acquiring terrain information during robot locomotion is essential for autonomous navigation, gait selection, and trajectory planning. Quadruped robots, due to their biomimetic structures, demonstrate enhanced traversability over complex terrains com...
In recent years, Android malware have been evolving and becoming more sophisticated at an alarming rate, highlighting the need for robust and evolving detection schemes. Despite the popularity of artificial intelligence-based approaches, they still s...
Federated cyber–physical systems (CPSs) present unique security challenges due to their distributed nature and the need for secure communication between components from different administrative domains. Distributed ledger technology (DLT) offer...
A novel dual-polarized 2D beam-steering antenna is proposed based on the reconfigurable double square loops (RDSLs). The antenna is composed of stacked patches with two ports and a beam-steering surface consisting of a 2 × 2 array of RDSLs. Var...
In modern radar operations, detection and jamming systems play a critical role. Integrated detection and jamming systems simultaneously fulfill both functions, thereby optimizing resource utilization. In this paper, we introduce a novel random noise...
This article explores the intricate relationship between digital transformation and non-financial performance in Central and Eastern European (CEE) countries. As these nations navigate the complexities of post-communist economic landscapes, the role...
Detecting small ships in optical RSIS is challenging. Due to resolution limitations, the texture and edge information of many ship targets are blurred, making feature extraction difficult and thereby reducing detection accuracy. To address this issue...
This paper proposes a mechanically reconfigurable multi-polarization antenna based on a 3D-printed anisotropic dielectric polarizer, offering wide bandwidth, high gain, and extremely low cost. The working mechanism of the dielectric polarizer is anal...
Expo parks are characterized by dense crowds and a high risk of accidents. A multi-robot patrolling system equipped with multiple sensors can provide personalized services to visitors and quickly locate emergencies, effectively accelerating response...
The real-time temperature prediction of chips is a critical issue in the semiconductor field. As chip designs evolve towards 3D and high integration, traditional analytical methods such as finite element software and HotSpot face bottlenecks such as...
Enterprise performance in real-world markets is shaped by dynamic factors, including competitors, collaborators, and hidden associates. Existing models struggle to capture the interplay between time-varying network dynamics and financial asset price...
Requirement Engineering (RE) is a critical phase in software development, integral to the successful execution of projects. The initial stage of RE involves requirement elicitation and analysis, where the prioritization of requirements is critical. T...
Artificial intelligence (AI)-based fault diagnosis methods have been widely studied for power grids, with most research focusing on fault interval localization rather than precise fault point identification. In cases involving long-distance transmiss...
This paper analyzes hardware-aware federated learning implementation with differential privacy optimization. Experiments across 10 distributed clients using MNIST show that DP-FedAvg achieves 89.2% accuracy with privacy guarantees (e = 0.20), represe...
Conventional droop control (a decentralized method to regulate power sharing by adjusting voltage–current slopes) in DC microgrids faces challenges in balancing precise current distribution, bus voltage regulation, and communication pressure, e...
SF6 gas has high electrical insulation strength and excellent arc-extinguishing properties, making it widely used in high-voltage equipment. However, gas leakage or liquefaction can reduce its performance, necessitating density monitoring. This paper...
Federated learning (FL) makes it possible for users to share trained models with one another, thereby removing the necessity of publicly centralizing training data. One of the best and most cost-effective ways to connect users is through email. To st...
Massive Online Open Courses (MOOCs) have been growing rapidly in the past few years. Video content is an important carrier for cultural exchange and education popularization, and needs to be translated into multiple language versions to meet the need...
Recent advances in large language models have driven major breakthroughs in Text-to-SQL tasks. However, many challenges hinder the use of SQL parsers for cross-language tasks. In this article, we introduce FGCSQL, a novel three-stage pipeline framewo...
The field of unmanned aerial vehicles (UAVs) has experienced substantial growth, with applications expanding across diverse domains. Missions increasingly demand higher autonomy, reducing human intervention and relying more on advanced onboard system...
As the use of containers has become mainstream in the cloud environment, various security threats targeting containers have also been increasing. Among them, a notable malicious activity is a cryptojacking attack that steals resources without the con...
Facial landmarks, as direct and reliable biometric features, are widely utilized in various fields, including information security, public safety, virtual reality, and augmented reality. Facial landmarks, which are discrete key points on the face, pr...
In this article, a new high step-up interleaved DC–DC converter is presented for renewable energy systems. The converter circuit is based on the interleaved two-phase boost converter and integrates a voltage-lift capacitor and a voltage multipl...
To unlock more aspects of human cognitive structuring, human–AI and human–robot interactions require increasingly advanced communication skills on both the human and robot sides. This paper compares three methods of retrieving cultural he...
In an era where public safety hinges on real-time intelligence and rapid response, this paper delves into the pivotal role of location-based services (LBSs) in empowering law enforcement and fire rescue operations. GPS tracking systems have revolutio...
Low Earth Orbit (LEO) satellite networks are promising for satellite-based cloud platforms. Due to frequent link switching and long transmission distances in LEO satellite networks, applying the TCP/IP architecture introduces challenges such as packe...
Acquired brain injury (ABI) is one of the leading causes of disability worldwide. Immersive virtual reality (IVR) is an emerging tool in the field of neurological rehabilitation that has shown promising results, although it has been little studied in...
To diagnose open-circuit faults (OCFs) in sub-module switching devices within input-independent output-series (IIOS) photovoltaic DC collection systems, this paper presents a hybrid diagnostic method combining convolutional neural networks (CNNs) and...
Ideally, the Perceptual Quantizer (PQ) for High Dynamic Range (HDR) image presentation requires a 12-bit depth to ensure accurate quantization. In most cases, mainstream displays employ a limited 10-bit PQ function for HDR image display, resulting in...
In recent years, underwater image enhancement (UIE) processing technology has developed rapidly, and underwater optical imaging technology has shown great advantages in the intelligent operation of underwater robots. In underwater environments, light...
Distribution line insulators play a key role in electrical insulation and supporting lines in distribution lines. Insulator defects due to overvoltage, thermal stress, and environmental pollution may trigger power transmission instability and line co...
This paper reviews the current state of research on half-bridge (HB) inverters used in induction heating power supplies, emphasizing their topological structures, output power control methods, and switching strategies. The study explores various cont...
The main limitation of the Multidimensional Fuzzy Transform algorithm applied in regression analysis is that it cannot be used if the data are not dense enough concerning the fuzzy partitions; in these cases, less refined fuzzy partitions must be use...
Text-to-music generation integrates natural language processing and music generation, enabling artificial intelligence (AI) to compose music from textual descriptions. While AI-enabled music generation has advanced, challenges in aligning text with m...
In response to the increasing demands for energy conservation and pollution reduction, optimizing transformer design to reduce operational losses and minimize raw material usage has become crucial. This paper introduces an innovative methodology that...
As the core of an aircraft’s power system, the stability and reliability of an aero-engine’s performance are crucial to flight safety. Addressing the issues of complex wiring and poor flexibility in traditional wired testing systems, this...
With the global commercialization of hydrogen fuel cell vehicles, the number of hydrogen refueling stations is steadily increasing. On-site hydrogen production stations are expected to play a key role in future power systems by absorbing renewable en...
Background: Accelerated by the advent of AI-powered writing assistants, writing, as a crucial aspect of higher education assessment and practice, has undergone rapid digitisation in recent decades. However, there is a paucity of empirical research on...
As cryptocurrency transactions continue to grow, detecting scams within transaction records remains a critical challenge. These transactions can be represented as dynamic graphs, where Neural Network Convolution (NNConv) models are widely used for de...
Heterogeneous chips, by integrating multiple processing units such as central processing unit(CPU), graphics processing unit (GPU) and field programmable gate array (FPGA), are capable of providing optimized processing power for different types of co...
Sleep is a physiological signal which plays a vital role in maintaining human health and well-being. Polysomnographic records provide insights into the various changes occurring during sleep, and hence its study is important in diagnosing various dis...
Hackers usually launch cyberattacks through several stepping-stone hosts to reduce the chance of being detected. With stepping-stone intrusion (SSI), the attacker’s identity is hidden behind a long interactive connection chain of stepping stone...
Photovoltaic energy is increasingly used in irrigation processes, particularly in arid regions, to pump water from rivers to fields. Rising oil prices, global warming, and the limited availability of fossil fuels have increased the need for alternati...
In opportunistic networks, where link performance is often highly variable or extreme due to the intermittent nature of communication links between nodes, there may never be a continuous and complete path between the receiver and the sender, and pack...
Edge termination techniques play a crucial role in enhancing the breakdown voltage (BV) and managing electric field distribution in GaN-based power devices. This review explores six key termination methods—field plate (FP), mesa, bevel, trench,...
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