Titlebook: Intelligent Computing and Networking; Proceedings of IC-IC Valentina Emilia Balas,Vijay Bhaskar Semwal,Anand Conference proceedings 2023 T

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Habituate

Water Quality Assessment Through Predictive Machine Learning,ification and prediction have seen significant improvement. This study aims to develop a reliable approach for forecasting water quality and distinguishing between potable and non-potable water by employing several ML models. G-Naive Bayes, B-Naive Bayes, SVM, KNN, X Gradient Boosting, Random Forest

Mnemonics

Comprehensive Review of Lie Detection in Subject Based Deceit Identification,ulpable groups in the EEG data for lie detection. To categorise EEG data, various techniques have been created; deep belief networks are infrequently used. In order to extract the time and frequency domain characteristics of the data, this study employs a deep learning method that combines a constra

Isthmus

Medical Image Processing and Machine Learning: A Study, So, to diagnose the diseases at the early stage machine learning provides various techniques and algorithms such as supervised learning technique, unsupervised learning technique, Reinforcement learning technique, Active learning, Semi-supervised learning, Evolutionary learning and lastly deep lear

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Security and Privacy Policy of Mobile Device Application Management System,cted to the user or the user’s surroundings. When applied to healthcare, this can greatly benefit areas like automated and intelligent monitoring of everyday activities for the elderly. This article represents a novel approach to analyzing the data using Artificial intelligence. The data was collect

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航海太平洋

PATHY

Comparative Investigation of Machine Learning and Deep Learning Methods for Univariate AQI Forecasty AQI is a complicated task as the data is very fluctuating, making it difficult for models to understand patterns. Advancements in machine learning and deep learning models have shown increased growth in time series applications across different domains. This research studies different machine lear

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