Advanced big-data/machine-learning techniques for optimization and performance enhancement of the heat pipe technology -A review and prospective studyHeat pipeBig dataMachine learningOptimizationPredictionAlgorithmANN Artificial Neural NetworksANFIS Artificial Neuro Fuzzy Inference SystemCRAC Computer Room Air-...
The availability of enormous amounts of data complemented with advanced computing capabilities, as well as innovative deep learning architectures, facilitated the use of AI-driven application in various fields of research in cancer. These applications range from detection and classification of cancer to ...
Advanced prediction of tunnel boring machine performance based on big data[J]. Geoscience Frontiers, 2021, 12(1): 331-338. DOI: 10.1016/j.gsf.2020.02.011 [9] Alex J.C. Witsil, Jeffrey B. Johnson. Volcano video data characterized and classified using computer vision and machine learning ...
Advanced Regression Models Polynomial Regression (R, Python) Multivariate Adaptive Regression Splines (R, Python) Tree-Based Methods Classification and Regression Trees (R) Bagging (R) Random Forests (R) Boosting (R) Unsupervised Learning Principal Components Analysis in R K-Means Clustering in R K-...
Likewise, there are many issues to realize and provide effective services and applications with enormous attentions, and efforts have been focused on machine learning on big data for FC. Contributions to theoretical research presenting advanced technologies and concepts, analysis and reporting of ...
This shift from batch processing toreal-time analyticsis powered by advanced technologies like machine learning and AI, which take this further, enabling faster, smarter data analysis. Backed by Adobe Sensei,Customer Journey Analytics uses AI to deliver predictive insights based on the full scope ...
With the advent of new advanced materials such as high performance perovskite solar cells, topological insulators and van der Waals materials, it is crucial to construct reliable MLFFs capable of dynamical simulations at the highest level of accuracy given by electronic-structure theories while maintain...
Advanced Robotics (Berkely) Stanford CS229: Machine Learning To learn some of the basics of ML: Linear Regression and Gradient Descent Logistic Regression Naive Bayes SVMs Kernels Decision Trees Introduction to Neural Networks Debugging ML Models ... ...
The area of online machine learning in big data streams covers algorithms that are distributed and work from data streams with only a limited possibility to store past data. The first requirement mostly concerns software architectures and efficient algor
Deep learning for consumer devices and services: Pushing the limits for machine learning, artificial intelligence, and computer vision In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a f......