Titlebook: Advances in Distributed Computing and Machine Learning; Proceedings of ICADC Suchismita Chinara,Asis Kumar Tripathy,Alekha Kuma Conference

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,American Foreign Policy and Women’s Rights,f a wireless communication channel. This work focuses on implementing the beamforming technique incorporated with a combination of MIMO-OFDM techniques for increasing physical layer security in the downlink of a wireless communication channel. The rectangular antenna array has been employed at the T

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Thyroxine

Challenging a Fictitious Neutralityalanguage of the Spin model checker. We are presenting a method that automatically generates from Abstract State Machine (ASM) specifications test which fulfils the desired coverage. ASM is used to predict the expected output under the test. A prototype tool that implements the proposed method. The

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George K. Zarifis,Maria N. Gravaniof Things (IoT) devices would cause a significant shift, particularly in the healthcare sector. In the implementation of vital medically accepted hardware, software, and connections, the usage of scientific IoT devices has repercussions. This report seeks to identify upcoming standard performance ch

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George K. Zarifis,Maria N. Gravani Cloud Computing techniques, usually in industrial arenas, business information and important clients’ data are stored and managed using cloud platforms. Application programs are developed to handle such valuable information assets of the organizations. Cloud backups are provided for these client da

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Lifelong Learning and Employabilitytients. In this research, we have proposed a Sequential Forward Selection (SFS) method and SMOTE oversampling approach to healthcare insurance fraud detection. We employed K-Nearest Neighbors (KNN), Artificial Neural Network (ANN), Linear Discriminant Analysis (LDA), Gradient Boosting Machine (GBM),

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Lifelong Learning and Employability datasets. The intra-class and inter-class variations suffer big from the pose, illumination, or partial occlusion in the real world, which degrade the performance of FER significantly. Multi-scale and attention-based networks are widely used to address these challenges. In most of the previous appr

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