Titlebook: Computational Intelligence in Data Mining; Proceedings of ICCID Janmenjoy Nayak,H.S. Behera,Danilo Pelusi Conference proceedings 2022 The E

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Deepfakes for Video Conferencing Using General Adversarial Networks (GANs) and Multilingual Voice Ceen different nations are being conducted on online video conferencing platforms. Hence, a methodology capable of performing real-time end-to-end speech translation has become a necessity. In this paper, we have proposed a complete pipeline methodology, wherein the real-time video conferencing will

synchronous

Topic Evolution Model for Interactive Information Search,el’ could generate the evolutions related to a topic of user interest and assist in the exploration of patterns. In a generic setting, the proposed ‘topic evolution model’ assist researchers and domain experts for the relevant information extraction on scientific field progress and innovations in te

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A Novel Automated Human Face Recognition and Temperature Detection System Using Deep Neural Network system had proved to be fast, built at low-cost, and efficient in user authentication. FRTDS consists of numerous algorithms and techniques that have been implemented to improve the performance of the entire system with the help of Deep Neural Networks. FRTDS can capture images from a video stream

Entrancing

A Novel BFS and CCDS-Based Efficient Sleep Scheduling Algorithm for WSN,chniques, Breadth First Search (BFS) and Color Connected Dominated Set (CCDS), for reducing energy consumption and delay when the message is broadcasted in WSN. Breadth First Search (BFS) is implemented to find the minimum distance path from a sensor node and reduce the delay in transmitting the mes

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COVID-19 Time Series Prediction and Lockdown Effectiveness,t was already infected with the disease. Since then, the virus has spread worldwide like wildfire and poses a major threat to the entirety of the human species itself. Coronavirus causes respiratory tract infections that can range from mild to lethal. This paper discusses the use of data analysis an

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Performance Evaluation of Electrogastrogram (EGG) Signal Compression for Telemedicine Using Varioustrical activity of the stomach to diagnose stomach illnesses. The EGG signal’s compression is important in the diagnosis, prognosis, and survival analysis of all stomach-related disorders, especially in telemedicine applications where the patient is geographically isolated. Over the years, several s

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The Impact of UV-C Treatment on Fruits and Vegetables for Quality and Shelf Life Improvement Using terials bought from outside are exposed to UV-C rays (254 nm) for a duration of 5–15 min so that fearlessly use them without altering the quality of the goods. The device consists of UVC light installed inside a chamber with calibrated dosage UVC light. The type of UV used for the purpose is Type-3

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Computational Intelligence in Data Mining978-981-16-9447-9Series ISSN 2190-3018 Series E-ISSN 2190-3026