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Titlebook: Innovations in Soft Computing and Information Technology; Proceedings of ICEMI Jayeeta Chattopadhyay,Rahul Singh,Vandana Bhattach Conferenc

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,A Case Study of Hindi–English Example-Based Machine Translation,IT project, for this purpose. This tool is based on neural machine translation and deep learning methodologies. It is a library for learning, training, and deploying neural machine translation models. It has been observed that the BLEU score of the system is increasing with the increasing number of
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Comparative Study of Different Machine Learning Models for Breast Cancer Diagnosis,to breast cancer. Early detection and avoidance methods can reduce the prospects of death considerably. Three methods are available for breast cancer detection—mammography, FNA, surgical biopsy. The sensitivity of mammography varies from 65 to 79% that of FNA varies from 65 to 85%. Surgical biopsy i
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A PID Load Frequency Controller Design via Pole Placement and Approximate Frequency Response MatchiDue to this reason, modern control design technique of power system plays a significant role in load frequency control (LFC). In this paper, PID load frequency controller design via pole placement and approximate frequency response matching for single-area and two-area power systems has been propose
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A Computer Vision-Based Gesture Recognition Using Hidden Markov Model,e the workload. The gesture recognition consists of various types of human interfaces such as facial, finger, iris, hand. In this paper, we proposed a hand gesture recognition using hidden Markov model (HMM) and trajectory code word. There are various papers presented on this topic by using differen
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A Literature Review on Dynamic Modeling and Epidemic Dynamics,us, Worm and Trojan—can also have hundreds of variants or several slightly modified versions. The main question we are concerned with is “Is that the behavior of infections in the digital world similar to the behavior of infections in the biological world?” Between biological diseases and computer w
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