Titlebook: ICT: Innovation and Computing; Proceedings of ICTCS Amit Joshi,Mufti Mahmud,S. Karthik Conference proceedings 2024 The Editor(s) (if applic

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,Deep Convolutional Encoder–Decoder Models for Road Extraction from Aerial Imagery,r fields. It poses challenges due to complex scenarios and factors, including occlusion. Hence conventional methods prove to be inefficient for the purpose. Image segmentation and deep learning models are extensively employed in recent times to extract objects from images. In this paper, the perform

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Methods, Approaches, and Techniques for Privacy-Preserving Data Mining,t altered and then get misused, so privacy of data is required on large scale and to do it we all should be aware of the process, methods, approaches, and techniques. So main focus in this paper is on different methods, approaches, and techniques in very easy and understandable form with best exampl

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Recurrent Neural Network-Based Energy Management System in Electric Vehicle Application with Hybridefficient platforms for the exchange of energy between power grids and EVs, EVCSs are unquestionably essential for the emergence of energy. Additionally, the temporary and geographic distribution of electric charges is influenced by the requirements of EV charging. The effective management of energy