Search Results - "IEEE Access"

The default Kubernetes scheduling algorithm, Balanced Resource Allocation (BRA), has limitations in achieving resource balance. It primarily focuses on the instantaneous utilization of CPU and memory while neglecting the coordinated optimization of disk I/O and network bandwidth, resulting in an imb...

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The exponential growth in the size of databases due to technological advancements has led to challenges in locating and accessing specific components of the data. While deep learning and other machine learning architectures have shown promise in retrieving data components, their efficacy is more pro...

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Offline writer identification is an essential component of biometric and forensic security fields, focusing on identifying the authors of handwritten documents in physical form. Historically, this approach has focused on text-dependent identification using page-level document images containing multi...

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Human Behavior Analysis (HBA) has emerged as a critical interdisciplinary field, combining psychology, sociology, artificial intelligence, and data science to model, understand, and predict human behavior across diverse domains. This paper provides a comprehensive survey, addressing gaps in existing...

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Generating high-fidelity surround view images from text prompts is a complex task that requires balancing contextual coherence with computational efficiency. The proposed work introduces a novel methodology that combines recurrent attention-based encoder-decoder architectures with text-to-image diff...

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The air gap is reserved between the insulation and metal sheath within the cable to mitigate damage resulting from cable bending phenomena. Owing to the temperature sensitivity of insulation thermal expansion, the thermal parameter of air gap layer will undergo significant variations during the tran...

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Existing approaches to non-invasive electroanatomical mapping face a fundamental challenge: accurately representing the continuous propagation velocities crucial for cardiac arrhythmia localization. Current methods either sacrifice precision by using discrete delays or require computationally intens...

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In this paper, a droop-based distributed control method is proposed to enhance the penetration rate of renewable energy sources and minimize low-voltage fluctuations within the DC local grid. The proposed method designs droop gains for state of charge (SoC)-based droop control considering line imped...

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So far, the short circuit ratio (SCR) has been widely used to assess grid robustness at inverter points of interconnection. However, its mathematical and geometric foundations have not been fully established, and its applicability across various X/R ratios and power factors remains an open question....

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Spelling is a crucial language skill, yet traditional instruction often relies on rote memorization rather than meaningful learning. Despite various approaches to spelling instruction, the potential of virtual reality (VR) along with the integration of gamification and LLMs, remains underexplored. T...

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The Lane Assist System (LAS) helps drivers stay within their road lanes. It uses cutting-edge technology (such as a camera system) to monitor marks for lane-following applications. The Lane Keeping Assist System (LKAS), a LAS with steering control, ensures appropriate lateral vehicle dynamics, avoid...

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In this paper, an approach for controlling an prosthesis hand using surface Electromyography (sEMG) signal, artificial neural network (ANN) and sliding mode control (SMC) is presented. An artificial hand mechanism also known as a prosthetic hand or bionic hand, is device designed to replace the func...

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In this article, new fast and Three-level reduced common-mode voltage (RCMV) space vector Discontinuous pulse width modulation (SVDPWM) strategies are proposed to achieve high performance in four-level neutral point clamped (4L-NPC) inverters. Redundant reduced common-mode voltage (RCMV) vectors in...

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This research presents an optimized physiological monitoring system for COVID-19 patients, integrating Visible Light Communication (VLC)-based three-dimensional localization with Markov Chain Analysis. The proposed system enables real-time tracking of vital physiological indicators while balancing l...

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This study provides a comprehensive review of the literature on group decision-making with heterogeneous information, aiming to identify the main characteristics in this field, highlight gaps, and suggest new promising approaches and methods to overcome current limitations. The research reveals the...

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Compressed sensing theory is widely used to accurately reconstruct the original signal from a small number of random observations, i.e., obtain high-dimensional information from low-dimensional information. This feature has shown effectiveness in image super-resolution. In this paper, based on the c...

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Presents corrections to the paper, (Correction to “Distribution Network Topology Identification Considering Nonsynchronous Multi-Prosumer Data Measurement”).

Digital watermarking in medical imaging serves as a critical technique for ensuring data integrity, authentication, and copyright protection. This study explores an innovative approach to embed diverse file types, including text, PDF, video, and audio, into DICOM images using the Least Significant B...

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Node localization remains a pivotal research challenge in Wireless Sensor Networks (WSN). The DV-Hop method, which estimates the positions of unknown nodes using anchor nodes and multi-hop forwarding, significantly lacks localization accuracy. To address this deficiency, this paper introduces an imp...

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This paper investigates the navigation performance of a vehicle dynamic model-based (VDM-based) tightly coupled architecture for a fixed-wing Unmanned Aerial Vehicle (UAV) during a global navigation satellite system (GNSS) outage for real-time applications. Unlike an Inertial Navigation System (INS)...

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