Point Transformers (PoinTr) have shown great potential in point cloud completion recently. Nevertheless, effective domain adaptation that improves transferability toward target domains remains unexplored. In this pape...
With the continuous development of human society, the global warming caused by greenhouse gas emissions is becoming more and more serious. In order to better cope with global warming, this paper uses the SARIMA model ...
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In the current blockchain system, the transaction costs and network congestion are increasing, thus the transaction rate is lower, which limits the wide application of blockchain system. In order to address this probl...
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Contrastive Language-Image Pretraining (CLIP) has been widely used in vision tasks. Notably, CLIP has demonstrated promising performance in few-shot learning (FSL). However, existing CLIP-based methods in training-fre...
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The blockchain is safe mechanism for store and distributed data due to its transparency. Every block of the chain serves as both an individual component that has its own data as well as a dependent connection ins...
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With the rapid development of Blockchain technology, this new technology is being widely used in finance, public services, and other fields. In recent years, frequent security problems in Blockchain’s application hav...
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Underwater wireless optical communication (UWOC) has received widespread attention recently due to its advantages in terms of high bandwidth, low power consumption and low delay. However, unlike underwater acoustic co...
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This research paper introduces 'Leaf Guard,' a mobile app designed for disease detection and management in banana trees, specifically tailored for Sri Lanka's agricultural landscape. Through the amalgamati...
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Underwater wireless sensor networks (UWSNs) have the potential to prevent disasters by providing access to environmental data, exploited in global warming studies, early warning systems, and industrial monitoring appl...
Underwater wireless sensor networks (UWSNs) have the potential to prevent disasters by providing access to environmental data, exploited in global warming studies, early warning systems, and industrial monitoring applications. It is of vital importance to sustain the delivery of information in these applications. Underwater wireless sensor networks are main components of these applications, providing continuous delivery of data regarding to the area of interest. However, the harsh nature of underwater environment makes battery replacement impracticable and limits sensor nodes to rely on their battery supply. Therefore, energy consumption is a major concern in underwater sensor networks. To minimize the energy consumption of the network, clustering is an extensively studied technology in underwater sensor applications. Cluster heads (CHs) are selected aiming towards data aggregation and reduction of energy consumption of the network hence increasing network lifetime. In this UWSN, we consider stochastical energy harvesting processes at each sensor node for the energy-aware routing problem in wireless sensor networks. In this paper, a novel cluster head (CH) selection technique is proposed, and CHs are chosen by considering the nodes’ not only position, and residual energy but also expected harvested energy. Numerical results show that the proposed technique reduces energy consumption and extends the network lifetime considerably.
The grim situation of novel coronavirus pneumonia 2019 (COVID-19) and its terrible spreading speed have already constituted a severe risk to human life, so it is ultimately essential to rapidly and accurately diagnose...
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