A major global health concern is Melanoma, a Malignant form of skin cancer. This type of skin cancer is the most aggressive and has the highest fatality rate. An early diagnosis and course of treatment is crucial. Wit...
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The proceedings contain 35 papers. The topics discussed include: channel characteristics analysis for earth-moon deep space communication link;wide-range and high-precision doppler simulation for inter-satellite coher...
ISBN:
(纸本)9798331517755
The proceedings contain 35 papers. The topics discussed include: channel characteristics analysis for earth-moon deep space communication link;wide-range and high-precision doppler simulation for inter-satellite coherent optical communications;anti-jamming system based on deep reinforcement learning in dynamic environment;a ceramic Monoblock open-ended dielectric waveguide antenna array for 5G millimeter-wave wireless communication;dual authentication mechanism of reliable session initiation protocol;thyristor conduction angle acquisition based on strong tracking filter;research on communication network attack detection and defense mechanism based on deep learning;application of evolutionary computing for optimal design of base station antenna;and secure communications employing intelligent reflecting surfaces.
The presented research introduces a new advanced data analytics methodology for climate change impact assessment and adaptive planning that utilizes machine learning and deep-learning techniques. Quantitative analysis...
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Recently, major advancements have been achieved in the object detection algorithms for behavior detection, but detection for student behavior in low-resolution scenarios remains a great challenge. Aiming at the task o...
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Modern audio processing requires compression and restoration for streaming services and data storage and transmission. This study examines how deep learning can address these difficulties and includes an architecture ...
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Certain estimates place skin cancer as the most lethal form of the disease worldwide. Spreading to other parts of the body and requiring invasive procedures like chemotherapy and radiation therapy are the results of d...
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When it comes to medical image analysis, problems arise due to the scarce amount of data and computational resources in medical environments. This is because, as earlier stated, cloud settings demand efficient models ...
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Effective image segmentation is important in various fields, from medical imaging to autonomous vehicles. This paper presents an integration of Hybrid Flower Pollination Optimization (HFPO) with Transformer networks, ...
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作者：
Amala, K.J.Rajeswari, D.School of Computing
College of Engineering and Technology Srm Institute of Science and Technology Department of Data Science and Business Systems Kattankulathur India
Feature Selection (FS) is essential for optimizing learning to Rank (LTR) models by determining the vital choice of attributes from a complex dataset. This study examines feature selection strategies within the framew...
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Computational performance, e.g. CPU or GPU utilization, is crucial for analyzing machine learning (ML) applications and their resource-efficient deployment. However, the ML community often lacks accessible tools for h...
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