Intrusion Detection Systems (IDS) play a pivotal role in safeguarding the integrity and performance of an organization. Throughout recent years, various approaches have been devised and put into practice to fortify th...
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In precision agriculture, crop recommendation systems play a crucial role in enhancing crop productivity. This research paper proposes a machine learning-based crop recommendation system that leverages climatic variab...
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作者：
Bharti, VijayGoel, Rohini
Department Of Computer Science And Engineering Ambala Mullana133203 India
The trusted nature of imagery is more easily manipulated in this tech-driven era through copy-move forgery (CMF), when parts of an image are copied and reinserted into the identical frame to trick users. The diversity...
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Diabetes is a major global health issue, requiring new approaches to understanding its complex etiology and improving predictions of effective management and treatment. Current methods typically use centralized models...
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Brain tumors represent a significant and often life-threatening medical challenge, demanding accurate and timely diagnosis for effective treatment planning. In this study, we will be comparing various deep learning ar...
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This research paper introduces a novel approach that leverages machine learning and natural language processing (NLP) techniques to detect emotions in text. The proposed system includes a Google Chrome extension that ...
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This paper presents an AI-driven framework for multi-objective Virtual Network Function (VNF) profiling, utilizing deep reinforcement learning (DRL) to optimize key resources such as CPU, memory (MEM), and link capaci...
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The kernel trick in supervised learning signifies transformations of an inner product by a feature map, which then restructures training data in a larger Hilbert space according to an endowed inner product. A quantum ...
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Wireless Sensor Networks (WSNs) often rely on constrained devices with limited processor and power resources. Therefore, many approaches in the literature have studied data reduction methods to relieve these resources...
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We present an optimal power allocation method to improve the energy efficiency (EE) of visible light communications (VLC) based on non-orthogonal multiple access (NOMA). The EE optimization model is established under ...
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ISBN:
(纸本)9798350374377
We present an optimal power allocation method to improve the energy efficiency (EE) of visible light communications (VLC) based on non-orthogonal multiple access (NOMA). The EE optimization model is established under the constraints of minimum data rate, maximum transmission power, successive interference cancellation (SIC) and direct current (DC) bias of the multiplexing light-emitting diodes (LEDs). Then an iterative power allocation algorithm is proposed to exploit the solution of the EE optimization problem. The simulation results show that the proposed power allocation algorithm can significantly improve the system EE.
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