Titlebook: Materials for Biomedical Simulation; Design, Development Arnab Chanda,Sarabjeet Singh Sidhu,Gurpreet Singh Book 2023 The Editor(s) (if app

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Sandeep Devgan,Amit Mahajan,Vinod Mahajanork on anomaly detection revolves around density-based unsupervised learning techniques for batch data and forecasting (threshold-based) techniques for streaming data. Typically in streaming data, we continuously encounter concept drifts due to which the forecasting approaches’ threshold becomes ins

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Subhodip Chatterjee,Shubham Gupta,Arnab Chandaed data a valuable asset, offering chances to identify trends, to make decisions and address challenges for cybersecurity end-users. While facing a considerable amount of data, it is challenging to seek out an agile approach that directly points out the most severe risks and provides security recomm

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Gurpreet Singh,Arnab Chandats such as medicine and financial market. In such contexts, it is important to design . AI systems while guaranteeing privacy protection. However, some attacks on the privacy of Machine Learning models have been designed to show the threats of exposing such models. Membership Inference is one of the

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Akhil Kumar Sonkar,Abhishek Kundu,Deepmala Sharma,Vishnu Agarwal,Arnab Chandats such as medicine and financial market. In such contexts, it is important to design . AI systems while guaranteeing privacy protection. However, some attacks on the privacy of Machine Learning models have been designed to show the threats of exposing such models. Membership Inference is one of the

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Auxetic Materials for Biomedical and Tissue Engineering, the commonly available materials contract laterally when stretched, auxetic metamaterials expand, and vice versa. Generally, the auxetic properties are attained by structuring a material with micro/macroscopic features. Auxetic metamaterials have numerous biomedical applications; inside the human b

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