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Titlebook: Intelligent Data Communication Technologies and Internet of Things; Proceedings of ICICI D. Jude Hemanth,Danilo Pelusi,Chandrasekar Vuppala

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An Optimized Convolutional Neural Network Model for Wild Animals Detection Using Filtering Techniquhout applying the edge detection techniques. The proposed model has achieved 0.81 accuracy after using Canny edge detection technique on animal dataset for outperforming the state-of-the-art models with ResNet-50 and EfficientNet-B7.
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Extracting Purposes from an Application to Enable Purpose Based Processing, expenditure for the development and subsequent maintenance activities, it is at loggerhead with privacy laws which are demanding purpose-based processing. Therefore, it is necessary to first build a repository of purposes that a given application can serve. And, then subsequent refactoring of appli
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Intrusion Detection System Intensive on Securing IoT Networking Environment Based on Machine Learnitize the null values, eliminating the duplicate and unwanted columns. The cleaned dataset is then assessed to construct the novel custom features and basic features for the attack detection, which represent the feature vector. Novel features are constructed to reduce the learning confusion of machin
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Coronavirus Pandemic: A Review of Different Machine Learning Approaches,eeks for the symptoms to show but on some people it does not show any symptoms. The  most common  symptoms are dry cough, fever, lung infection, etc. This paper provides information about the several tests available for the detection of COVID-19. This paper provides a detailed comparison among the d
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