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Algorithm reveals how a small region in our brain plays a key role in motivation
A small region of the brain, known as the ventral tegmental area (VTA), plays a key role in how we process rewards. It ...
IEEE5d
Compression technique by Analyzing Peak Signal to Noise Ratio value using various Machine Learning Algorithms
The peak to signal noise ratio of SVM with 92.20 kbps is better than the Decision tree 84.80 kbps. There is a significant difference in PSNR is $\text{P}=0.293$ within the limit of study, the Support ...
GPS World13d
The use and promise of artificial intelligence in GNSS PNT
Artificial intelligence (AI) has become part of the daily lexicon, and an endless stream of media reports assert that AI either has affected or will affect most aspects of human life. What is AI and ...
IEEE21d
Network Traffic Co-Movement Assessment via Oriented Basis Signal Processing and Ensemble Decision Trees
Therefore, hybrid statistical machine learning (ml) algorithms could be utilized to accommodate ... located in the paris city center. Hence, the hybrid decision-tree-based mechanism is a useful ...
ArchDaily22d
Between Algorithms and Ancestral Knowledge: Expanding the Concept of Architectural Intelligence
Generative algorithms, machine learning, and parametric modeling not ... These tools support more efficient decision-making. As Mario Carpo argues in The Second Digital Turn (2017), this shift ...
Frontiers28d
Machine learning with decision curve analysis evaluates nutritional metabolic biomarkers for cardiovascular-kidney-metabolic risk: an NHANES analysis
The study developed novel indices (RAR, NPAR, SIRI, Homair) and assessed their CKM predictive value through: Multivariable logistic/Cox regression; Restricted cubic splines; Machine learning (XGBoost, ...