Prince Waqas Khan

Also published under:

Affiliation

Department of Industrial and Management Systems Engineering, West Virginia University, Morgantown, WV, USA

Topic

Machine Learning Models,Decision Tree,K-nearest Neighbor,Learning Algorithms,Machine Learning,Mean Absolute Error,Support Vector Regression,Training Data,Wind Power,Wind Turbine,2D Images,3D Images,Above Ground Level,Adjacent Nodes,Adjusted Rand Index,Anomaly Classification,Anomaly Detection,Aquaculture Farms,Autoregressive Integrated Moving Average,Bagging Ensemble,Bagging Ensemble Learning,Base Classifiers,Binary Classification,Blockchain Applications,Blockchain Technology,Bootstrap Aggregation,Centroid,Classification Model,Clifford Algebra,Clusters Of Points,Computer Vision,Consensus Mechanism,Consumption Data,Count Variable,Crop Growth Stages,Delegated Proof Of Stake,Distance Map,Eigenvalues Of Matrix,Electricity Consumption,Energy Consumption,Energy Consumption Data,Energy Consumption Prediction,Ensemble Empirical Mode Decomposition,Ensemble Model,Extreme Gradient Boosting,F1 Score,Feature Engineering,Fish Farming,Forecast Accuracy,Forecasting Model,

Biography

Prince Waqas Khan received the M.Sc. and M.S. degrees in computer science from the University of Agriculture Faisalabad, Pakistan, in 2014 and 2017, respectively, where he worked as a Web Developer, from 2015 to 2018. He is currently pursuing the Ph.D. degree in computer science with the Chongqing University of Posts and Telecommunications, China. His research interests include artificial intelligence, image processing, the IoT, blockchain, and data mining.