Search Results - Stacking classification algorithm(SCA)

Prediction of geological characteristics from shield operational parameters by integrating grid search and K-fold cross validation into stacking classification algorithm

Authors: Tao Yan Shui-Long Shen Annan Zhou et al.

Source: Journal of Rock Mechanics and Geotechnical Engineering, Vol 14, Iss 4, Pp 1292-1303 (2022)

Subject Terms: Stacking classification algorithm (SCA), K-means++, K-fold cross-validation (K-CV), 0211 other engineering and technologies, TA703-712, Geological characteristics, Engineering geology. Rock mechanics. Soil mechanics. Underground construction, 02 engineering and technology

Access URL: https://doaj.org/article/f7b0f2491ccb4048a5fd4a336b9a0ad4

Skin disease classification system based on metaheuristic algorithms.

Authors: Mohammed, Saja Salim Al-Tuwaijari, Jamal Mustafa

Source: AIP Conference Proceedings; 2023, Vol. 2475 Issue 1, p1-13, 13p

Subject Terms: NOSOLOGY, SKIN diseases, OPTIMIZATION algorithms, PARTICLE swarm optimization, LICHEN planus, METAHEURISTIC algorithms, FEATURE selection

Method for geological characteristics prediction during shield tunnelling: SCA-GS

Authors: Tao Yan

Subject Terms: Civil engineering not elsewhere classified, Resources engineering and extractive metallurgy not elsewhere classified, Grid search, Integrating SCA method with GS and K-CV, K-folds cross-validation, Stacking classification algorithm, prediction

Relation: 10779/rmit.27564927.v1

Availability: https://figshare.com/articles/journal_contribution/Method_for_geological_characteristics_prediction_during_shield_tunnelling_SCA-GS/27564927

Slope Stability Prediction Utilizing a Random Forest Model Optimized by Particle Swarm Optimization.

Authors: Kong, Tao Shao, Guangyu Shao, Guangbiao et al.

Source: Geofluids; 10/9/2025, Vol. 2025, p1-16, 16p

Subject Terms: SLOPE stability, RANDOM forest algorithms, NONLINEAR estimation, PARTICLE swarm optimization, ENGINEERING firms, EMERGENCY management, FORECASTING, MACHINE learning

A hybrid neural network based solar PV power classification with time series data for bend, Oregon.

Authors: Choudhury, Sasmita Dash, Pradipta Kishore

Source: International Journal of Green Energy; 2024, Vol. 21 Issue 12, p2753-2770, 18p

Subject Terms: PARTICLE swarm optimization, STANDARD deviations, SOLAR energy, TIME series analysis, SOLAR system

Predicting Porosity in Grain Compression Experiments Using Random Forest and Metaheuristic Optimization Algorithms.

Authors: Chen, Jiahao Li, Jiaxin Zheng, Deqian et al.

Source: Food Science & Nutrition; Apr2025, Vol. 13 Issue 4, p1-25, 25p

Subject Terms: METAHEURISTIC algorithms, GREY Wolf Optimizer algorithm, MACHINE learning, RANDOM forest algorithms, GRAIN storage, GRAIN

Optimized kernel extreme learning machine using Sine Cosine Algorithm for prediction of unconfined compression strength of MICP cemented soil.

Authors: Peng, Shuquan Sun, Qiangzhi Fan, Ling et al.

Source: Environmental Science & Pollution Research; Apr2024, Vol. 31 Issue 17, p24868-24880, 13p

Subject Terms: SOIL cement, MACHINE learning, RANDOM forest algorithms, ALGORITHMS, SUPPORT vector machines

Feature extraction and classification algorithm, which one is more essential? An experimental study on a specific task of vibration signal diagnosis.

Authors: Liu, Qiang Zhang, Jiade Liu, Jingna et al.

Source: International Journal of Machine Learning & Cybernetics; Jun2022, Vol. 13 Issue 6, p1685-1696, 12p

A comparative study on deep feature selection methods for skin lesion classification.

Authors: Golnoori, Farzad Zamani Boroujeni, Farsad Monadjemi, Seyed Amirhassan

Source: IET Image Processing (Wiley-Blackwell); 3/27/2024, Vol. 18 Issue 4, p996-1013, 18p

Subject Terms: FEATURE selection, CONVOLUTIONAL neural networks, IMAGE recognition (Computer vision)

Modelling biochemical oxygen demand using improved neuro-fuzzy approach by marine predators algorithm.

Authors: Adnan, Rana Muhammad Dai, Hong-Liang Kisi, Ozgur et al.

Source: Environmental Science & Pollution Research; Sep2023, Vol. 30 Issue 41, p94312-94333, 22p

Subject Terms: BIOCHEMICAL oxygen demand, STANDARD deviations, BIOCHEMICAL models, PARTICLE swarm optimization, CHEMICAL oxygen demand, ALGORITHMS

Geographic Terms: SOUTH Korea

Multi-strategy chimp optimization algorithm for global optimization and minimum spanning tree.

Authors: Du, Nating Zhou, Yongquan Luo, Qifang et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Feb2024, Vol. 28 Issue 3, p2055-2082, 28p

Subject Terms: OPTIMIZATION algorithms, GLOBAL optimization, SPANNING trees, METAHEURISTIC algorithms, LEARNING strategies, SWARM intelligence, ALGORITHMS

Radiomics in Pituitary Adenomas: A Systematic Review of Clinical Applications and Predictive Models.

Authors: Agosti, Edoardo Mangili, Marcello Panciani, Pier Paolo et al.

Source: Journal of Clinical Medicine; Sep2025, Vol. 14 Issue 18, p6595, 26p

Subject Terms: RADIOMICS, PITUITARY tumors, MACHINE learning, MAGNETIC resonance imaging, DIAGNOSIS, PREDICTION models, CLINICAL medicine, PROGNOSTIC models

Enhancing Skin Cancer Diagnosis Through Fine‐Tuning of Pretrained Models: A Two‐Phase Transfer Learning Approach.

Authors: Eliwa, Entesar Hamed I. Ribeiro, Ivana

Source: International Journal of Breast Cancer; 2/17/2025, Vol. 2025, p1-18, 18p

Subject Terms: MACHINE learning, MEDICAL scientists, TUMOR classification, SKIN cancer, SKIN imaging

Deep Learning-Based Early Detection of Lung Diseases Using Light Attention Visual Geometry Networks.

Authors: Christiyana, C. Callins Senthilselvi, A. Elangovan, D. et al.

Source: Cognitive Computation; Dec2025, Vol. 17 Issue 6, p1-32, 32p

Sine Cosine Based Harris Hawks Optimizer: A Hybrid Optimization Algorithm for Skin Cancer Detection Using Deep Stack Auto Encoder.

Authors: Madiwal, Shweta M. Burkpalli, Vishwanath

Source: Revue d'Intelligence Artificielle; Oct2022, Vol. 36 Issue 5, p697-708, 12p

Subject Terms: SKIN cancer, EARLY detection of cancer, FISHER discriminant analysis, MATHEMATICAL optimization, FEATURE extraction, DEEP learning

Extensive Multilabel Classification of Brain MRI Scans for Infarcts Using the Swin UNETR Architecture in Deep Learning Applications.

Authors: Oh, Jaeho An, Hyunchul

Source: Annals of Rehabilitation Medicine; Aug2024, Vol. 48 Issue 4, p271-280, 10p

Subject Terms: DEEP learning, TRANSFORMER models, LACUNAR stroke, BRAIN imaging, ISCHEMIC stroke, CLASSIFICATION, CONCEPT learning

Csb-yolo: a rapid and efficient real-time algorithm for classroom student behavior detection.

Authors: Zhu, Wenqi Yang, Zhijun

Source: Journal of Real-Time Image Processing; Aug2024, Vol. 21 Issue 4, p1-17, 17p

Prediction of daily suspended sediment load (SSL) using new optimization algorithms and soft computing models.

Authors: Darabi, Hamid Mohamadi, Sedigheh Karimidastenaei, Zahra et al.

Source: Soft Computing - A Fusion of Foundations, Methodologies & Applications; Jun2021, Vol. 25 Issue 11, p7609-7626, 18p

Subject Terms: ENVIRONMENTAL sciences, SUSPENDED sediments, SOFT computing, MATHEMATICAL optimization, STANDARD deviations, PARTICLE swarm optimization, WATERSHED management

Geographic Terms: IRAN, INDIANA

Applications of Artificial Intelligence in Cardiovascular Emergencies – Status Quo and Outlook.

Authors: Hatfaludi, Cosmin-Andrei Danu, Manuela-Daniela Leonte, Horia-Andrei et al.

Source: Journal of Cardiovascular Emergencies; Dec2023, Vol. 9 Issue 4, p83-102, 20p

Subject Terms: ARTIFICIAL intelligence, HIGH performance computing, CARDIOVASCULAR emergencies, DEEP learning, DISEASE risk factors, ALGORITHMS, MEDICAL care, MYOCARDIAL infarction

Advancements in Breast Cancer Detection: A Review of Global Trends, Risk Factors, Imaging Modalities, Machine Learning, and Deep Learning Approaches.

Authors: Rahman, Md. Atiqur Khan, M. Saddam Hossain Watanobe, Yutaka et al.

Source: BioMedInformatics; Sep2025, Vol. 5 Issue 3, p46, 70p