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Titlebook: Smart Innovations in Communication and Computational Sciences; Proceedings of ICSIC Shailesh Tiwari,Munesh C. Trivedi,Erma Suryani Conferen

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Behavior Analysis of a Deep Feedforward Neural Network by Varying the Weight Initialization Methods the classification problem. Our experimentation shows that He initialization can outclass other methods like Xavier initialization as well as more conventional methods like random initialization while employing ReLU nonlinear activation.
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Multipath Routing Using Improved Grey Wolf Optimizer (IGWO)-Based Ad Hoc on-Demand Distance Vector R to decrease amount of time for the search process. Thus, the simulation results conclude that the proposed IGWO-AODV algorithm is better than the existing methods in terms of lower energy utilization, excellent throughput, relatively lesser end-to-end delay, and better network lifespan.
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Smart Educational Innovation Leads to University Competitivenessn and university management as well as to all aspects of educational innovation application for potential stakeholders. The results may be of use in implementing regulations for stimulating and further development of theoretical and applied models for measuring higher education competitiveness and a
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Abhay Chaturvedi,Rakesh Kumar, this volume is of interest to students and advanced researchers alike who are studying earth, atmospheric and environmental sciences..978-90-481-6595-7978-1-4020-2126-8Series ISSN 1571-5299 Series E-ISSN 2215-1672
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