Strategies for Learning Groundwater Potential Modelling Indices under Sparse Data with Supervised and Unsupervised Techniques
Sign Up to like & getrecommendations! Published in 2020 at "Water Resources Management"
DOI: 10.1007/s11269-020-02555-y
Abstract: Mapping for Groundwater Potential Indices (GPI) is investigated for study areas with sparse data by the customary ten general-purpose data layers with a scoring system of rates and weights but assigning their values give rise… read more here.
Keywords: unsupervised models; groundwater potential; sparse data; base ... See more keywords
A Novel Selective Ensemble Learning Method for Smartphone Sensor-Based Human Activity Recognition Based on Hybrid Diversity Enhancement and Improved Binary Glowworm Swarm Optimization
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3225652
Abstract: Human activity recognition (HAR) is gaining interest with many important applications including ubiquitous computing, health-care services and detection of diseases. Smartphone sensors have high acceptance and adherence in daily life and they provide an alternative… read more here.
Keywords: selective ensemble; ensemble learning; smartphone; base models ... See more keywords
AcneGrader: An ensemble pruning of the deep learning base models to grade acne
Sign Up to like & getrecommendations! Published in 2022 at "Skin Research and Technology"
DOI: 10.1111/srt.13166
Abstract: Acne is one of the most common skin lesions in adolescents. Some severe or inflammatory acne leads to scars, which may have major impacts on patients’ quality of life or even job prospects. Grading acne… read more here.
Keywords: learning; acne; base models; acnegrader ensemble ... See more keywords