Deep learning has revolutionized various fields but faces challenges such as limitations owing to vanishing gradients and the inability to handle non-differentiable loss functions and layers. Our study proposes Parall...
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The pharmaceutical industry's supply chain management faces critical challenges, including tampering of vaccine details and a lack of transparency from regulatory authorities to end customers. These issues comprom...
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The majority of India's GDP comes from farming activities, which accounts for a sizable amount of the country's economy. This initiative was inspired by the increasing number of farmers committing suicide, whi...
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In the modern business landscape, the widespread adoption of data-driven decision systems underscores the importance of integrating ethical principles such as fairness, accountability, transparency, and explainability...
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Chandas is a classification metric used in Sanskrit Mantras. They are essentially meant to maintain a form of rhythm for each and every mantra, which gives the hymns their distinctive chanting pattern. Sanskrit hymns ...
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Short-form video streaming has seen explosive growth in recent years. Typically, the short video apps (e.g., TikTok) are installed on mobile devices, with the video content delivered over wireless networks. Our measur...
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In this study, a YOLO model method combining LightGBM and multi-modal data processing attention mechanism optimization is proposed to enhance the effectiveness and accuracy of object detection. The traditional YOLO mo...
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This paper considers link scheduling in a wireless network comprising of two types of nodes:(i)hybrid access points(HAPs)that harvest solar en-ergy,and(ii)devices that harvest radio frequency(RF)energy whenever HAPs *...
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This paper considers link scheduling in a wireless network comprising of two types of nodes:(i)hybrid access points(HAPs)that harvest solar en-ergy,and(ii)devices that harvest radio frequency(RF)energy whenever HAPs *** aim is to de-rive the shortest possible link schedule that determines the transmission time of inter-HAPs links,and uplinks from devices to *** first outline a mixed in-teger linear program(MILP),which can be run by a central node to determine the optimal schedule and transmit power of HAPs and *** then out-line a game theory based protocol called Distributed Schedule Minimization Protocol(DSMP)that is run by HAPs and ***,it does not require causal energy arrivals and channel gains *** results show that DSMP produces schedule lengths that are at most 1.99x longer than the schedule computed by MILP.
In today's world Internet of things is an emerging technology, which helps people to work smarter and potentially interconnects anything with real life object to sophisticated networked devices. The massive growth...
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Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests from both industrial and academic communities. With its rapid development, the cryptocurrency transaction network embedding(C...
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Cryptocurrency, as a typical application scene of blockchain, has attracted broad interests from both industrial and academic communities. With its rapid development, the cryptocurrency transaction network embedding(CTNE) has become a hot topic. It embeds transaction nodes into low-dimensional feature space while effectively maintaining a network structure,thereby discovering desired patterns demonstrating involved users' normal and abnormal behaviors. Based on a wide investigation into the state-of-the-art CTNE, this survey has made the following efforts: 1) categorizing recent progress of CTNE methods, 2) summarizing the publicly available cryptocurrency transaction network datasets, 3) evaluating several widely-adopted methods to show their performance in several typical evaluation protocols, and 4) discussing the future trends of CTNE. By doing so, it strives to provide a systematic and comprehensive overview of existing CTNE methods from static to dynamic perspectives,thereby promoting further research into this emerging and important field.
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