Titlebook: Machine Intelligence and Smart Systems; Proceedings of MISS Shikha Agrawal,Kamlesh Kumar Gupta,Manish Gupta Conference proceedings 2022 Th

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書目名稱Machine Intelligence and Smart Systems影響因子(影響力)




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,Deep Reinforcement Learning for?Optimal Traffic Control,tive level tasks. Reinforcement learning (RL) can guide an agent how to act in the world. The interface to a reinforcement learning agent is much broader than just data; it can be the entire environment. The invent of deep learning (DL) architectures has facilitated the tackling of high-dimensional

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Ensemble Semi-supervised Machine Learning Algorithm for Classifying Complaint Tweets,the grievance tweets for further analysis to get the better idea of the situation and provide timely help really can play critical role for local governance. High velocity of the tweets makes the manual identification of the relevant complaint tweets a strenuous task. Existing studies experimented w

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A Novel Approach for Semantic Microservices Description and Discovery Toward Smarter Applications,ot only enabling producing enterprise-scale applications from the ground up, but also simplifying legacy applications getting partitioned into a dynamic pool of microservices. These fine-grained services are being positioned as the optimal application building-block and the unit of application deplo

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Application of Reinforcement Learning in Control Systems for Designing Controllers,esign that has tackled real-world systems. PID controller is such an example of that. The task of the controller is to meet the design criteria chosen to govern the dynamic behavior of the system. Traditional controllers, such as PID, use conventional methods to find the parameters of controllers. B

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