Titlebook: Machine Learning and Optimization for Engineering Design; Apoorva S. Shastri,Kailash Shaw,Mangal Singh Book 2023 The Editor(s) (if applica

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OpenCV and MQTT Based Intelligent Management System,lating the traffic density, the system classifies the density into low, medium, and high density with the help of a decision algorithm. This system is based on Python programming, and the libraries used in Python are Open-source Computer Vision, NumPy, Chardet, and time library. The system is implem

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,A Machine Learning Model for Student’s Academic Success Prediction,a variety of strategies for predicting student success, including physical assessment, statistical methodologies, and modern data mining techniques. Educational Data Mining facilitates the improvement of teaching and learning processes. The goal of the current study is to create data mining models f

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Disease Classification in Cassava Plant by Artificial Neural Network, of carbohydrates and is grown to provide a large source of nutrition for people in tropical climates. It is particularly susceptible to bacterial, viral, and fungal infections, which restrict plant development and, as a result, decrease productivity. An Artificial Neural Network (ANN) model is impl

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Exploring the Synergies: A Comprehensive Survey of Blockchain Integration with Artificial Intelligenance, the Internet of Things, big data, cloud computing, and edge computing. Combining blockchain, AI, ML, and IoT has the obvious benefit of granting AI greater autonomy and legitimacy. This survey report presents a thorough and three-dimensional analysis of the integration of blockchain with Arti

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An Intelligent System for the Classification of Dental Problems Based on Bayesian Regularization Nehis intelligent system is very useful in a scenario of COVID-19 outbreak where doctor-patient contact should be minimal. The trained neural network is the brain of the system. Bayesian regularization is used to train the network. The learning algorithm is chosen after the comparison with other six b

Infelicity

Development of Smart Home System Based on EEG,bilities. The developed system classifies brain waves when a user thinks to the right or left and opens and closes the window in the desired direction. To this end, a mobile application was developed to induce direction-related brain waves from user, and a deep learning model for classifying brain w

CLAP

A Short Review of Machine Learning Techniques for Thermal, Energy and Electrical Engineering Applicction is used to detect undesired work during running of any machine component. Time series models are used for forecasting model. This article demonstrates how a machine learning model improves the performance of engineering applications in thermal engineering, energy, and electrical appliances.

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OpenCV and MQTT Based Intelligent Management System,n and finding out the emergency vehicle based on GPS Tracking using ESP32 and IoT over MQTT. Last phase is related to pollution monitoring. This complete model for the system is made, and the results are shown in the paper.