This paper presents a non-isolated high step-up DC-DC converter that achieves a high voltage gain through the application of coupled inductor and multiplier techniques. Also, in this topology continuous input current ...
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Interfacial water plays a crucial role in catalytic reactions, particularly in applications involving platinum (Pt) catalysts. This study explores how the ordering of water molecules at the platinum interface affects ...
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The large language model has demonstrated its ability to reason and interpret in text-to-text applications. Current Chain of Thought (CoT) research focuses on either explaining reasoning steps or improving prediction ...
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The segmentation of lesions in endoscopic ultrasound images is essential for clinical diagnosis. However, such as the low contrast in ultrasound images, patient-specific factors, and inter-case variations, make accura...
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Aims and Background: For video understanding and analysis, human activity recognition (HAR) has emerged as a challenging field to investigate and implement. Patients can be monitored in real-time by a group of healthy...
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Aims and Background: For video understanding and analysis, human activity recognition (HAR) has emerged as a challenging field to investigate and implement. Patients can be monitored in real-time by a group of healthy individuals, and abnormal behaviors can be used to identify them lat-er. Patients who do not engage in customary physical activities are more likely to suffer from stress, cardiovascular disease, diabetes, and musculoskeletal disorders. Thus, it is critical to collect, evaluate, and analyze data to determine their activities. Objectives and Methodology: Deep learning-based convolutional neural networks (CNNs) can be used to solve the problem of patient activities in the healthcare system by identifying the most efficient healthcare providers. Healthcare relies heavily on the integration of medical devices into cyber-physical systems (CPS). Hospitals are progressively employing these technologies to maintain a high standard of patient care. The CNN-CPS technique can be used by a healthcare organization to exam-ine a patient's medical history, symptoms, and tests to provide personalized care. A network of medical devices must be integrated into healthcare. Hospitals are increasingly using these technologies to ensure that patients get the best possible care at all times. Healthcare automation can dramatically improve quality and consistency by reducing human errors and fatigue. The multiobjective optimization is achieved considering various factors like the time required to find emergency case identifica-tion, new disease prediction, and accuracy of data protection. Results: Consequently, patients are assured of receiving a consistent, attentive service at every visit. Data and orders can be stored and entered more easily via automation, market research suggests. The outcome of this article is obtained based on a comparison of various approaches in health monitoring systems, such as collection of patient data is 82.3%, new disease prediction is 80.14%, e
Detecting protein complexes holds paramount importance in elucidating cellular organization and protein functionalities. Over the past decade, numerous approaches have centered their attention on the topological intri...
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Images captured by cameras with incorrect exposure settings typically suffer from degradations in multiple aspects, including brightness, color, and structure. Existing methods often obtain a normally exposed image by...
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The task of Fine-Grained Visual Classification (FGVC) aims to distinguish between closely related subclasses within a broader category. Challenges include high intra-class variation, minimal inter-class differences, a...
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The hydration shell layer of DNA plays a crucial role in its biological function and its structural characteristics are significantly influenced by the DNA sequence. Different DNA sequences not only alter the interact...
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Large Language Models (LLMs) play a crucial role in modern society by enabling natural language understanding and generation, which enhances communication, automation, and information processing across diverse sectors...
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