The complexity and diversity of polymer topologies,or chain architectures,present substantial challenges in predicting and engineering polymer *** machine learning is increasingly used in polymer science,applications ...
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The complexity and diversity of polymer topologies,or chain architectures,present substantial challenges in predicting and engineering polymer *** machine learning is increasingly used in polymer science,applications to address architecturally complex polymers are ***,we use a generative machine learning model based on variational autoencoders and data generated from molecular dynamics simulations to design polymer topologies that exhibit target properties.
Recently, there has been interest in classifying emotions using audio inputs and machine learning methods. Because a single statement might be delivered in a variety of emotional circumstances, textual data alone is i...
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More than 150 cellular networks worldwide have rolled out LTE-M (LTE-Machine Type Communication) and/or NB-IoT (Narrow Band Internet of Things) technologies to support massive IoT services such as smart metering and e...
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Challenged networks (CNs) contain resource-constrained nodes deployed in regions where human intervention is difficult. Opportunistic networks (OppNets) are CNs with no predefined source-to-destination paths. Due to t...
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The 3D Underwater Sensor Network(USNs)has become the most optimistic medium for tracking and monitoring underwater *** and collision are two most critical factors in USNs for both sparse and dense *** to harsh ocean e...
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The 3D Underwater Sensor Network(USNs)has become the most optimistic medium for tracking and monitoring underwater *** and collision are two most critical factors in USNs for both sparse and dense *** to harsh ocean environment,it is a challenge to design a reliable energy efficient with collision free *** in link qualities may cause collision and frequent communication lead to energy loss;that effects the network *** overcome these challenges a novel protocol Forwarder Selection Energy Efficient Routing(FSE2R)is *** proposal’s key idea is based on computation of node distance from the sink,Residual Energy(RE)of each node and Signal to Interference Noise Ratio(SINR).The node distance from sink and RE is computed for reliable forwarder node selection and SINR is used for analysis of *** novel proposal compares with existing protocols like H2AB,DEEP,and E2LR to achieve Quality of Service(QoS)in terms of through-put,packet delivery ratio and energy *** comparative analysis shows that FSE2R gives on an average 30%less energy consumption,24.62%better PDR and 48.31%less end-to-end delay compared to other protocols.
Cervical cancer has been one of the leading causes of female early death in recent years. In developing countries, cervical cancer occurs in more than 85% of cases. Cervical cancer has been associated with several ris...
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This research proposes an integrated framework of a digital twin, incorporating artificial intelligence and the Internet of Things to optimize energy management and prolong the lifespan of the battery in electric vehi...
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In the evolving landscape of smart cities, employment strategies have been steering towards a more personalized approach, aiming to enhance job satisfaction and boost economic efficiency. This paper explores an advanc...
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The recent development of communication technologies made it possible for people to share opinions on various social media platforms. The opinion of the people is converted into small-sized textual data. Aspect Based ...
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We investigate the problem of finding a spanning tree of a set of n moving points in Rdim that minimizes the maximum total weight (under any convex distance function) or the maximum bottleneck throughout the motion. T...
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