Titlebook: Smart Data Intelligence; Proceedings of ICSMD R. Asokan,Diego P. Ruiz,Selwyn Piramuthu Conference proceedings 2024 The Editor(s) (if applic

Prologue

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,Deepening Sustainability: Waste Segregation Through Advanced Deep Learning Techniques,y for real-time image recognition and analysis. The primary objective of this system is to transform conventional waste disposal methods by automating the segregation process, thereby fostering more efficient recycling practices. The Smart Dustbin integrates sensors and cameras to identify and categ

Acetaldehyde

Deep Learning-Based Facial Deepfake Detection Using MobileNetV2 and VGG16, including face identification. Other than that, there is rising worry over the production and distribution of fake faces. These are produced by generative models due to the possible misuse of technology and increasing generative media contents. Using deep learning techniques, specifically MobileNet

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Implementation of Machine Learning Algorithms in Diabetes Prediction,vision impairments, nerve issues, difficulties in urination, and numerous other health concerns that can put individuals in critical situations. The development of diabetes can be attributed to factors such as obesity, congenital diabetes, and elevated blood pressure, all of which can contribute to