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Energy-efficient virtual machine placement in heterogeneous cloud data centers: a clustering-enhanced multi-objective, multi-reward reinforcement learning approach
Efficient virtual machine (VM) placement is vital for optimizing the performance of cloud data centers. While recent studies have addressed this...
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Review of Deep Learning Techniques for Neurological Disorders Detection
Neurological disease is one of the most common types of dementia that predominantly concerns the elderly. In clinical approaches, identifying its...
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Information flow control for comparative privacy analyses
The prevalence of web tracking and its key characteristics have been extensively investigated by the research community by means of large-scale web...
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A quantitative analysis of the security of PoW-based blockchains
This study analyzes the security implications of Proof-of-Work blockchains with respect to the stale block rate and the lack of a block verification...
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Energy Efficient Routing in Cluster Based Heterogeneous Wireless Sensor Network Using Hybrid GWO and Firefly Algorithm
Object tracking application is one of the important as well as challenging application of energy constrained Wireless Sensor Network (WSN).Timely and...
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Cyber intrusion detection using dual interactive Wasserstein generative adversarial network with war strategy optimization in wireless sensor networks
Wireless sensor network (WSN) is one of the essential components of a multi-hop cyber-physical system comprising many fixed or moving sensors. There...
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Dual strategy for single image denoising and generation using deep neural network
Removing noise in the real-world scenario has been a daunting task in the field of natural language processing. Research has shown that Deep Neural...
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A method for recognizing facial expression intensity based on facial muscle variations
Expression intensity recognition is a research problem in the field of computer vision and pattern recognition, which can be understood as the...
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Distributed neuro-fuzzy routing for energy-efficient IoT smart city applications in WSN
Wireless sensor networks (WSNs) enable seamless data gathering and communication, facilitating efficient and real-time decision-making in IoT...
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Multitask EfficientNet affective computing for student engagement detection
In the realm of education, feedback emerges as a pivotal component, serving to foster engagement and interaction while also facilitating the...
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Intelligent and efficient task caching for mobile edge computing
Given the problems with a centralized cloud and the emergence of ultra-low latency applications, and the needs of the Internet of Things (IoT), it...
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UDCT: lung Cancer detection and classification using U-net and DARTS for medical CT images
Lung cancer is the most fatal disease in recent times. Early detection of the same is very crucial and challenging task. Therefore, proper diagnostic...
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GSNR-aware resource re-provisioning for C to C+L-bands upgrade in optical backbone networks
Efficient network management in optical backbone networks is essential to manage continuous traffic growth. To accommodate this growth, network...
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A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning
The prevalence of road traffic collisions is a pressing issue both worldwide and within the United States. The consequences of these incidents are...
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Research on a quantification model of online learning cognitive load based on eye-tracking technology
Online learning is characterized by a high degree of complexity and a wealth of information when compared to traditional classroom learning. This can...
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An enhanced energy and distance based optimized clustering and dynamic adaptive cluster-based routing in software defined vehicular network
Software-Defined Vehicular Networks (SDVN) have been established to facilitate secure and adaptable vehicle communication within the dynamic...
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eFuseNet: A deep ensemble fusion network for efficient detection of Arrhythmia and Myocardial Infarction using ECG signals
Myocardial infarction (MI) and cardiac arrhythmias remain leading causes of mortality within cardiovascular diseases. Accurate and timely diagnosis...
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Designing interactive, gamified learning environments: a methodological approach with a case study on statistical quality control
Statistical Quality Control is a subject present in many engineering degrees. Literature identifies shortcomings in the application of Statistical...
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Trust attack prevention based on Spark-blockchain in social IoT: a survey
Integrating the Internet of Things (IoT) with Social Networks (SN) has given rise to a new paradigm called Social IoT, which allows users and objects...
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Advanced dairy cow monitoring: enhanced detection with precision 3D tracking
Ensuring the welfare of dairy cows requires precise monitoring of their daily exercise to evaluate their physical health. This necessitates...