Titlebook: Recent Trends in Communication and Intelligent Systems; Proceedings of ICRTC Aditya Kumar Singh Pundir,Anupam Yadav,Swagatam Da Conference

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書(shū)目名稱(chēng)Recent Trends in Communication and Intelligent Systems影響因子(影響力)




書(shū)目名稱(chēng)Recent Trends in Communication and Intelligent Systems影響因子(影響力)學(xué)科排名




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書(shū)目名稱(chēng)Recent Trends in Communication and Intelligent Systems網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書(shū)目名稱(chēng)Recent Trends in Communication and Intelligent Systems被引頻次




書(shū)目名稱(chēng)Recent Trends in Communication and Intelligent Systems被引頻次學(xué)科排名




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書(shū)目名稱(chēng)Recent Trends in Communication and Intelligent Systems讀者反饋




書(shū)目名稱(chēng)Recent Trends in Communication and Intelligent Systems讀者反饋學(xué)科排名

CORE

跟隨

A Comparative Study of Classification Algorithms for the Prediction of Communication Effectiveness, We compare their results and levels in various Machine Learning Algorithms like Support Vector Machine (SVM), Random Forest Classifier, Logistic Regression, Naive Bayes, and Decision Tree for accuracy. This exploration would be helpful for?scholars and?preceptors.

CLAY

Prediction of Fatal Accidents in the Petrochemical Industry with Machine Learning,tion of structured and unstructured data, Na?ve Bayes with TF-IDF vectorizer gives an accuracy of 92%. Hence, this paper concludes that the Na?ve Bayes with TF-IDF can be considered to predict the fatality of accidents with reasonable accuracy for a combination of structured and unstructured data.

無(wú)瑕疵

揮舞

Prediction of Bone Mineral Density Using AI to Detect Osteoporosis,ne mineral density dataset which reflects a non-linear coalition of serum uric acid levels concerning the risk of osteoporosis. Also, the study varietally discusses algorithms based on various supervised and unsupervised learning methodologies of machine learning with the help of a bone mineral density dataset.

虛弱

prosthesis

半球

Schistosomiasis Prevention Undermined by Water Point Forecasting: An Approach Based on Data Fusion y on the theory of belief functions or evidence theory to combine the forecasts made by the two models in order to infer one day ahead the state of infestation of a water point with an accuracy of 0.75.

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