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Titlebook: Sustainable Communication Networks and Application; Proceedings of ICSCN P. Karuppusamy,Isidoros Perikos,Tu N. Nguyen Conference proceeding

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楼主: Objective
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Dissimilar Disease Detection Using Machine Learning Techniques for Variety of Leaves,ulturist in knowing whether the plants are affected by the disease before it could spoil the entire plantation. The method proposed helps in the early detection of leaf disease if the plant is affected. Advance machine learning has been used to determine the same by taking the diseased leaf image as
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Face Aging Through Uniqueness Conserving by cGAN with Separable Convolution,hieve human age progression. cGAN is good at generating fake images, where labels are used as conditions which is why it is better than other GANs. For face aging, pre-processing of the original dataset is highly required. This makes it more computational. In terms of performance, “identity-preservi
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A Wearable System Design for Epileptic Seizure Detection,ermittent seizures which are caused by disturbances in the electrical activity of the brain. These seizures will last from seconds to minutes and vary from an impaired consciousness up to severe convulsions of the whole human body. To reduce morbidity and mortality caused by epilepsy, real-time pati
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A Smart Biometric-Based Public Distribution System with Chatbot and Cloud Platform Support,he beneficiary as a consumer with below poverty line (BPL), who is provided with the food and non-food items at a subsidized rate. Radio-frequency identification (RFID) and fingerprint reader-based automatic ration shop also called a fair price shop is a practical approach in the public distribution
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Performance Evaluation of Clustering Techniques for Financial Crisis Prediction,ing number of data from day-by-day activities, they hope to draw valuable decisions from the gathered data to aid on practical assessments for new client demands, e.g., client credit classification, certainty of return that was expected, and so forth. Banks as well as institutes of finance have conn
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Optimization of Job Scheduling with Dynamic Bees Approach,es life algorithm is used to achieve optimization in job scheduling. This paper proposes unique dynamic scheduling using the bees algorithm with the shortest job first approach to achieve a high degree of load balancing. The effectiveness of cloud computing depends greatly upon the performance of th
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