The conference on Program Analysis and Software Testing is a special session under the workshop category which will be held in conjunction with ISEC-2023, Indian Institute of Information technology, Allahabad Prayagra...
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Multimedia security is important as multimedia data transfer is high in many fields like education, military, medical, etc. Chaos is a branch of mathematics focusing on dynamic systems. Chaos is known for its ergodici...
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In the ever-evolving landscape of agriculture, the need for precision and efficiency has never been more critical. This paper introduces a cutting-edge irrigation management system that leverages the power of the Inte...
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The task of aspect-level sentiment analysis is to identify the sentiment polarity of sentences when expressed in different aspects. The attention mechanism-based approach allows for attentional interaction between the...
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Regression testing is a well-established practice in software development, but its position and importance have shifted in recent years as agile approaches have grown in popularity, emphasizing the fundamental role of...
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Hyperspectral imaging (HSI) has been proved to be useful in numerous fields because of its ability to acquire the spectral information across the hundreds of contiguous bands. Nevertheless, the vast dimensionality of ...
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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.
With the adoption of cutting-edge communication technologies such as 5G/6G systems and the extensive development of devices,crowdsensing systems in the Internet of Things(IoT)are now conducting complicated video analy...
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With the adoption of cutting-edge communication technologies such as 5G/6G systems and the extensive development of devices,crowdsensing systems in the Internet of Things(IoT)are now conducting complicated video analysis tasks such as behaviour *** applications have dramatically increased the diversity of IoT ***,behaviour recognition in videos usually requires a combinatorial analysis of the spatial information about objects and information about their dynamic actions in the temporal *** recognition may even rely more on the modeling of temporal information containing short-range and long-range motions,in contrast to computer vision tasks involving images that focus on understanding spatial ***,current solutions fail to jointly and comprehensively analyse short-range motions between adjacent frames and long-range temporal aggregations at large scales in *** this paper,we propose a novel behaviour recognition method based on the integration of multigranular(IMG)motion features,which can provide support for deploying video analysis in multimedia IoT crowdsensing *** particular,we achieve reliable motion information modeling by integrating a channel attention-based short-term motion feature enhancement module(CSEM)and a cascaded long-term motion feature integration module(CLIM).We evaluate our model on several action recognition benchmarks,such as HMDB51,Something-Something and *** experimental results demonstrate that our approach outperforms the previous state-of-the-art methods,which confirms its effective-ness and efficiency.
Cardiovascular diseases are still among the leading causes of deaths worldwide, thus calling for early detection and precise risk assessment. Traditional methods of diagnosing cardiovascular disease often rely on stan...
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The Internet of Things (IoT) is a network of interconnected objects, which congregate and exchange gigantic amounts of data. Usually, predeployed embedded sensors sense this massive data. Soon, several applications of...
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