Suchergebnisse - Generalized protective gradient descent algorithm

CGDE-YOLOv5n: a real-time safety helmet-wearing detection algorithm.

Autoren: Wanbo Luo Mohd Yassin, Ahmad Ihsan Mohd Shariff, Khairul Khaizi et al.

Quelle: Indonesian Journal of Electrical Engineering & Computer Science; Jun2025, Vol. 38 Issue 3, p1765-1781, 17p

Schlagwörter: DETECTION algorithms, SAFETY hats, FEATURE extraction, ALGORITHMS, NECK

Byzantine fault tolerance in distributed machine learning: a survey.

Autoren: Bouhata, Djamila Moumen, Hamouma Mazari, Jocelyn Ahmed et al.

Quelle: Journal of Experimental & Theoretical Artificial Intelligence; Nov2025, Vol. 37 Issue 8, p1331-1389, 59p

Schlagwörter: FAULT tolerance (Engineering), MATHEMATICAL optimization, FEDERATED learning, FAULT-tolerant control systems, STOCHASTIC learning models

STID-Net: Optimizing Intrusion Detection in IoT with Gradient Descent.

Autoren: Hezekiah, James Deva Koresh Duraisamy, Usha Nandini Nallusamy, Kalaichelvi et al.

Quelle: Sensors (14248220); Mar2025, Vol. 25 Issue 6, p1852, 25p

Schlagwörter: PATTERN recognition systems, FEATURE extraction, ANOMALY detection (Computer security), SEQUENTIAL analysis, INTERNET of things, INTRUSION detection systems (Computer security)

Balancing Privacy and Utility in Artificial Intelligence-Based Clinical Decision Support: Empirical Evaluation Using De-Identified Electronic Health Record Data.

Autoren: Lee, Jungwoo Lee, Kyu Hee

Quelle: Applied Sciences (2076-3417); Oct2025, Vol. 15 Issue 19, p10857, 17p

Schlagwörter: PRIVACY, ELECTRONIC health records, CLINICAL decision support systems, ARTIFICIAL intelligence, COMPUTER security

The effect of choosing optimizer algorithms to improve computer vision tasks: a comparative study.

Autoren: Hassan, Esraa Shams, Mahmoud Y. Hikal, Noha A. et al.

Quelle: Multimedia Tools & Applications; May2023, Vol. 82 Issue 11, p16591-16633, 43p

Schlagwörter: ALGORITHMS, OPTIMIZATION algorithms, ROOT-mean-squares, SKIN imaging, MATHEMATICAL optimization, COMPUTER vision, DEEP learning

Methodological Review of Classification Trees for Risk Stratification: An Application Example in the Obesity Paradox.

Autoren: Trujillano, Javier Serviá, Luis Badia, Mariona et al.

Quelle: Nutrients. Jun2025, Vol. 17 Issue 11, p1903. 17p.

Prediction of Health Status of Small-Tailed Cold Sheep Based on Improved BP Neural Network.

Autoren: Fan, Wei Wang, Haixia Hou, Yun et al.

Quelle: Electronics (2079-9292); Jul2024, Vol. 13 Issue 13, p2602, 26p

Schlagwörter: ARTIFICIAL neural networks, PHYSIOLOGICAL effects of cold temperatures, SHEEP, TEST systems, BODY temperature

Yield Stress Prediction Model of RAFM Steel Based on the Improved GDM-SA-SVR Algorithm.

Autoren: Sifan Long Ming Zhao Xinfu He

Quelle: Computers, Materials & Continua; 2019, Vol. 58 Issue 3, p727-760, 34p

Schlagwörter: YIELD stress, FOSSIL fuels, ALGORITHMS, SUPPORT vector machines, PREDICTION models

Debris Flow Prediction Based on the Fast Multiple Principal Component Extraction and Optimized Broad Learning.

Autoren: Xu, Genqi Yan, Xin-E Cao, Ning et al.

Quelle: Water (20734441); Nov2022, Vol. 14 Issue 21, p3374, 21p

Schlagwörter: DEBRIS avalanches, SINGULAR value decomposition, EMERGENCY management, GROUNDWATER flow, STOCHASTIC matrices, PORE water pressure

Combining Machine Learning Models and Satellite Data of an Extreme Flood Event for Flood Susceptibility Mapping.

Autoren: Tepetidis, Nikos Benekos, Ioannis Iliopoulou, Theano et al.

Quelle: Water (20734441); Sep2025, Vol. 17 Issue 18, p2678, 31p

Schlagwörter: MACHINE learning, FLOOD risk, THESSALY (Greece), EMERGENCY management, FLOODS, FLOODPLAIN management, TOPOGRAPHY, RISK assessment, REMOTE-sensing images

Geografische Kategorien: GREECE

A Study on Flood Susceptibility Mapping in the Poyang Lake Basin Based on Machine Learning Model Comparison and SHapley Additive exPlanations Interpretation.

Autoren: Li, Zhuojia Tian, Jie Zhu, Youchen et al.

Quelle: Water (20734441); Oct2025, Vol. 17 Issue 20, p2955, 31p

Schlagwörter: MACHINE learning, ENSEMBLE learning, CLIMATE change, WATERSHEDS, EMERGENCY management, FLOOD risk

Geografische Kategorien: POYANG Lake (China)

A Deep Learning-Based Three-Stage Method for Spillway Blockage Detection in Reservoirs.

Autoren: Xu, Xiaohua Bao, Xuecai Wang, Yining et al.

Quelle: Water (20734441); Dec2024, Vol. 16 Issue 23, p3396, 18p

Schlagwörter: OBJECT recognition (Computer vision), DETECTION algorithms, EMERGENCY management, FLOOD control, FOREIGN bodies, IMAGE segmentation, DEEP learning

Applying machine learning for perioperative adverse event prediction: a narrative review toward better clinical efficacy and usability.

Autoren: Hao, Xuechao Wang, Yaqiang Li, Ke et al.

Quelle: Anesthesiology & Perioperative Science; Dec2025, Vol. 3 Issue 4, p1-17, 17p

Construction of anti-tumor immune gene signature for HNSCC and identification of 4'-Hydroxywogonin as a potential immunotherapy combination drug.

Autoren: Qiang, Weijie Dai, Yifei Wang, Lele et al.

Quelle: Cancer Cell International; 10/25/2025, Vol. 25 Issue 1, p1-16, 16p

Schlagwörter: IMMUNOTHERAPY, PROGNOSTIC models, OROPHARYNGEAL cancer, ANTINEOPLASTIC agents, MOLECULAR docking, CELLULAR immunity, GENETIC markers

Harpagide Confers Protection Against Acute Lung Injury Through Multi-Omics Dissection of Immune–Microenvironmental Crosstalk and Convergent Therapeutic Mechanisms.

Autoren: Wang, Hong Yang, Jicheng Zhang, Yusheng et al.

Quelle: Pharmaceuticals (14248247); Oct2025, Vol. 18 Issue 10, p1494, 29p

Schlagwörter: LUNG injuries, MULTIOMICS, DEFENSE reaction (Physiology), CYTOKINES, ANTI-inflammatory agents, OXIDATIVE stress, IMMUNOREGULATION, CELLULAR signal transduction

Multi-Omics Integration Reveals PBDE-47 as an Environmental Risk Factor for Intracranial Aneurysm via F2R-Mediated Metabolic and Epigenetic Pathways.

Autoren: Liu, Hongjun You, Jinliang Bai, Junsheng et al.

Quelle: Brain Sciences (2076-3425); Oct2025, Vol. 15 Issue 10, p1091, 18p

Schlagwörter: INTRACRANIAL aneurysms, ENVIRONMENTAL risk, CEREBROVASCULAR disease, MULTIOMICS, METABOLOMICS, THROMBIN receptors, POISONS, EPIGENETICS

LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study.

Autoren: Liang, Hengrui Wang, Runchen Cheng, Ran et al.

Quelle: Clinical & Translational Medicine; Jan2025, Vol. 15 Issue 1, p1-18, 18p

Schlagwörter: BLOOD proteins, LYMPHATIC metastasis, LUNG cancer, FEATURE selection, RANDOM forest algorithms

Computer-Aided Early Melanoma Brain-Tumor Detection Using Deep-Learning Approach.

Autoren: Asad, Rimsha Rehman, Saif ur Imran, Azhar et al.

Quelle: Biomedicines; Jan2023, Vol. 11 Issue 1, p184, 22p

Schlagwörter: BRAIN tumors, SIGNAL convolution, CONVOLUTIONAL neural networks, MELANOMA, NEURONS

RAVE-HD: A Novel Sequential Deep Learning Approach for Heart Disease Risk Prediction in e-Healthcare.

Autoren: Khan, Muhammad Jaffar Raza, Basit Faheem, Muhammad

Quelle: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 22, p2866, 50p

Schlagwörter: HEART diseases, DEEP learning, MEDICAL screening, FEATURE selection, MACHINE learning, PREDICTION models, DIGITAL health, STATISTICAL bias

A Cross-National Study of Fear Appeal Messages in YouTube Trending Videos About COVID-19.

Autoren: Ng, Yee Man Margaret

Quelle: American Behavioral Scientist; Aug2025, Vol. 69 Issue 9, p1092-1112, 21p

Schlagwörter: COVID-19, SOCIAL media, COMPARATIVE studies, RISK communication, PUBLIC health, MEDICAL communication, RISK perception

Geografische Kategorien: TAIWAN, BRAZIL, UNITED States

Reviews & Products: YOUTUBE (Web resource)