Tropical cyclones stand out as one of the most financially burdensome natural disasters globally, given the numerous potential risks they pose. Thus, the development of a meticulous assessment model for gauging the se...
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Detecting mental health problems at the earliest can help professionals provide correct treatment and increase the value of patients. One of the most prevalent types of impairment in the world is depression. It is imp...
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The introduction of 6G is intended to transform global communication systems by merging terrestrial, aerial, and satellite networks, resulting in a ubiquitous, ultra-reliable, and low- latency communications infrastru...
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This research paper explores the challenges faced by daily bus commuters and presents a transformative live route monitoring system designed to address these issues. The project focuses on local buses and utilizes a u...
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Flying Ad hoc Networks are becoming highly appealing due to their versatile applications in domains like surveillance, search and rescue, environmental monitoring, and communication relays, offering significant societ...
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One of the promising recent advances in medical imaging is indeed the successful exploration of GANs for applications such as image super-resolution and text enhancement. Most GAN-based approaches, however, have been ...
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In IoT,routing among the cooperative nodes plays an incredible role in fulfilling the network requirements and enhancing system *** eva-luation of optimal routing and related routing parameters over the deployed net-wo...
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In IoT,routing among the cooperative nodes plays an incredible role in fulfilling the network requirements and enhancing system *** eva-luation of optimal routing and related routing parameters over the deployed net-work environment is *** research concentrates on modelling a memory-based routing model with Stacked Long Short Term Memory(s-LSTM)and Bi-directional Long Short Term Memory(b-LSTM).It is used to hold the routing information and random routing to attain superior *** pro-posed model is trained based on the searching and detection mechanisms to com-pute the packet delivery ratio(PDR),end-to-end(E2E)delay,throughput,*** anticipated s-LSTM and b-LSTM model intends to ensure Quality of Service(QoS)even in changing network *** performance of the proposed b-LSTM and s-LSTM is measured by comparing the significance of the model with various prevailing ***,the performance is measured with Mean Absolute Error(MAE)and Root Mean Square Error(RMSE)for mea-suring the error rate of the *** prediction of error rate is made with Learn-ing-based Stochastic Gradient Descent(L-SGD).This gradual gradient descent intends to predict the maximal or minimal error through successive *** simulation is performed in a MATLAB 2020a environment,and the model performance is evaluated with diverse *** anticipated model intends to give superior performance in contrast to prevailing approaches.
The smart world under Industry 4.0 is witnessing a notable spurt in sleep disorders and sleep-related issues in patients. Artificial intelligence and IoT are taking a giant leap in connecting sleep patients remotely w...
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Satellite images play a pivotal role, in the world of forest conservation for improving efficiency in different forest areas. The major goal of this research study is to identify current approaches, significant discov...
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Type 2 diabetes is a chronic digestive condition characterized by hyperglycemia, which is caused by either a lack of insulin secretion or inadequate insulin synthesis. There is no medical care strategy that can preven...
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