Titlebook: Computing and Machine Learning; Proceedings of CML 2 Jagdish Chand Bansal,Samarjeet Borah,Said Salhi Conference proceedings 2024 The Editor

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河潭

Enhancing Efficiency and Functionality of Voice-Controlled Cars Through NLP Techniques and Additiontems. The prototype employs Natural Language Processing (NLP) techniques and an Arduino UNO-interfaced Bluetooth module to facilitate wireless communication with a dedicated Android app, “AMR Voice Control.” Through an algorithmic process, the system extracts and executes multiple voice commands seq

MEET

Ensembling of Performance Metrics in Credit Risk Assessment Using Machine Learning Analytics, their clients is a key difficulty faced by these institutions. Since these institutions depend entirely on these prediction models, it is essential that the performance level of the model be high. Depending solely on accuracy can be risky due to the inherent nature of imbalance in most datasets. Tr

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補(bǔ)充

Prediction of Compressive Strength of Geopolymer Concrete via Machine Learning Techniques,ine learning approaches, artificial neural network (ANN) and random forest (RF), were established. Several input parameters, such as coarse and fine aggregates, alkaline solutions, alumino-silicate material, curing conditions, and concrete age, were taken into account. Meanwhile, the compressive str

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Excitotoxin

,Detection and Prediction of Alzheimer’s Disease Using Rule Induction Method,s expensive. Alzheimer’s disease is also one of the leading causes of mortality for senior individuals. Early Alzheimer’s detection aids in the diagnosis of the illness by medical professionals, hence reducing the danger of death. As a result, early Alzheimer‘s disease identification has turned into

Indurate

Heart Disease Prediction Using Bagging QSVC Algorithm,arts of classical bits. Unlike binary bits, qubits can exist in a superposition of both 0 and 1 simultaneously, unlocking immense processing power for specific tasks. Quantum machine learning combines this potential with established machine learning algorithms, pushing the boundaries of disease pred

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