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Titlebook: Advances in IoT and Security with Computational Intelligence; Proceedings of ICAIS Anurag Mishra,Deepak Gupta,Girija Chetty Conference proc

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James Phillips,Seth Herway,Alyssa Brzenskitilizes the feature of calculating the greatest common divisor (GCD) of the pixels within blocks formed in the image. The results obtained when compared with other standard thresholding techniques show us further insight with regard to the robust quality and performance of the newly devised threshol
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Daisuke Mori,Hao Liu,Takami Yamaguchiirtualization, a cloud provider creates multiple instances of virtual machine which can be configured on a single host, hence increases the resource utilization. Though this can be further enhanced through the consolidation process, it requires selecting appropriate VM allocation and selection polic
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https://doi.org/10.1007/978-1-4684-4991-4gorithm proposed in the present work is used to find an optimal path for mobile robots in a static environment. The algorithm is based on the flashing behavior of the fireflies in nature, hence called the Firefly Algorithm (FA). The proposed approach takes into account three objectives to obtain eff
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Overview of the Halsted-Reitan Battery,cells die slowly. Early detection of the disease is crucial for deploying interventions and slowing its progression. In the past decade, many machine learning and deep learning algorithms have been explored to build automated detection for Alzheimer’s. Advancements in data augmentation techniques an
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Platelet Scintigraphy in Stroke Patientsn.” Recently, QKD networks have advanced to the point where they have graduated from the domain of theoretical study and are beginning to make their way into a few practical applications. A network is formed by QKD nodes, which can communicate with one another either wirelessly or utilizing light-sp
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