Výsledky vyhľadávania - Numerical Al- algorithms and Problems General Terms Algorithms Keywords Benchmarking

Benchmarking the Nelder-Mead downhill simplex algorithm with many local restarts

Autori: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Zdroj: https://hal.inria.fr/file/index/docid/382104/filename/hansen2009bnm.pdf.

Predmety: mization, unconstrained optimization, F.2.1 [Analysis of Algorithms and Problem Complexity, Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking, Black-box optimization, Evolutionary com- putation, Simplex downhill

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.9091

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.698.9091

An improved three-term conjugate gradient approach for deep neural network training in ECG signal classification.

Autori: Ibrahim, Alaa Luqman Fathi, Bayda Ghanim Abdulrazzaq, Maiwan Bahjat

Zdroj: Network Modeling & Analysis in Health Informatics & Bioinformatics; 11/11/2025, Vol. 14 Issue 1, p1-18, 18p

Comparison to the BIPOP-CMA-ES

Autori: Raymond Ros The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Raymond Ros The Pennsylvania State University CiteSeerX Archives

Zdroj: https://hal.inria.fr/file/index/docid/473778/filename/ws1p13-ros.pdf.

Predmety: Categories and Subject Descriptors G.1.6 [Numerical Analysis, Optimization—global opti- mization, unconstrained optimization, F.2.1 [Analysis of Algorithms and Problem Complexity, Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking, Black-box optimization, Evolution strategies 1. ALGORITHM PRESENTATION

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.4054

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.4054

Noisy Testbed

Autori: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Nikolaus Hansen The Pennsylvania State University CiteSeerX Archives

Zdroj: https://hal.inria.fr/file/index/docid/382101/filename/hansen2009bbn.pdf.

Predmety: Algorithms and Problem Complexity, Numerical Al- gorithms and Problems General Terms Algorithms Keywords Benchmarking, Black-box optimization, Direct search, Evo

Popis súboru: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.3275

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.699.3275

Synthetic Ensemble Forecasts: Operations‐Based Evaluation and Inter‐Model Comparison for Reservoir Systems Across California.

Autori: Brodeur, Zachary P. Taylor, William Herman, Jonathan D. a ďalší

Zdroj: Water Resources Research; Jun2025, Vol. 61 Issue 6, p1-19, 19p

Predmety: EVIDENCE gaps, RISK assessment, HYDROLOGY, ALGORITHMS, STORAGE

Recent advancement of metaheuristic optimization algorithms-based learning for breast cancer diagnosis: a review.

Autori: Awotwe, Samuel Dufera, Amanuel Tafese Yi, Wenhui

Zdroj: Memetic Computing; Sep2025, Vol. 17 Issue 3, p1-22, 22p

Artificial Intelligence in Endurance Sports: Metabolic, Recovery, and Nutritional Perspectives.

Autori: Grivas, Gerasimos V. Safari, Kousar

Zdroj: Nutrients. Oct2025, Vol. 17 Issue 20, p3209. 26p.

Pattern Recognition Algorithms in Pharmacogenomics and Drug Repurposing—Case Study: Ribavirin and Lopinavir.

Autori: Calvo, Hiram Islas-Díaz, Diana Hernández-Laureano, Eduardo

Zdroj: Pharmaceuticals (14248247); Nov2025, Vol. 18 Issue 11, p1649, 29p

Predmety: PHARMACOGENOMICS, DRUG repositioning, PATTERN perception, INDIVIDUALIZED medicine, COVID-19, MACHINE learning, LOPINAVIR-ritonavir, RIBAVIRIN

A Comprehensive Framework for Integrating Diverse Model Performance Metrics in Calibration.

Autori: Asadzadeh, Masoud Farokhzad, Pouya

Zdroj: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-26, 26p

Predmety: HYDROLOGIC models, PRINCIPAL components analysis, DIMENSIONAL reduction algorithms, EVALUATION methodology, MULTI-objective optimization, WATER balance (Hydrology), CALIBRATION

Enhancing Seizure Detection Accuracy in Wearable EEG Devices Using Deep Learning Algorithms.

Autori: Alarfaj, Mohammed Al-Adhaileh, Mosleh Hmoud Uddin, M. Irfan a ďalší

Zdroj: Journal of Disability Research; Aug2025, Vol. 4 Issue 4, p1-32, 32p

Combination of Hybrid Artificial Neural Networks with Particle Swarm Optimization Algorithm for SPEI Forecasting.

Autori: Jakubcová, Michala Máca, Petr Hanel, Martin a ďalší

Zdroj: Journal of Hydrometeorology; Nov2025, Vol. 26 Issue 11, p1775-1793, 19p

Rectifying inhomogeneous illumination in digital images using a latent light manifestation algorithm.

Autori: Al-Ameen, Zohair

Zdroj: Imaging Science Journal; Jun2025, Vol. 73 Issue 4, p415-427, 13p

Predicting COPD Readmission: An Intelligent Clinical Decision Support System.

Autori: López-Canay, Julia Casal-Guisande, Manuel Pinheira, Alberto a ďalší

Zdroj: Diagnostics (2075-4418); Feb2025, Vol. 15 Issue 3, p318, 22p

Predmety: CLINICAL decision support systems, ARTIFICIAL intelligence, MACHINE learning, FUZZY expert systems, RANDOM forest algorithms

Osoby: MENDEL, Gregor, 1822-1884

A Hybrid Convolutional Neural Network–Long Short-Term Memory (CNN–LSTM)–Attention Model Architecture for Precise Medical Image Analysis and Disease Diagnosis.

Autori: Hayat, Md. Tanvir Allawi, Yazan M. Alamro, Wasan a ďalší

Zdroj: Diagnostics (2075-4418); Nov2025, Vol. 17 Issue 21, p2673, 32p

Predmety: CONVOLUTIONAL neural networks, LONG short-term memory, DIAGNOSIS, COMPUTER-assisted image analysis (Medicine), FEATURE selection, DEEP learning, CLASSIFICATION

Objective Emotion Assessment Using a Triple Attention Network for an EEG-Based Brain–Computer Interface.

Autori: Zhang, Lihua Zhang, Xin Zhang, Xiu a ďalší

Zdroj: Brain Sciences (2076-3425); Nov2025, Vol. 15 Issue 11, p1167, 31p

Predmety: ELECTROENCEPHALOGRAPHY, EMOTION recognition, ALGORITHMS, NEURAL computers, ARTIFICIAL neural networks, BRAIN-computer interfaces, AFFECTIVE computing

Early Leak and Burst Detection in Water Pipeline Networks Using Machine Learning Approaches.

Autori: Joseph, Kiran Shetty, Jyoti Patnaik, Rahul a ďalší

Zdroj: Water (20734441); Jul2025, Vol. 17 Issue 14, p2164, 18p

Predmety: MACHINE learning, LEAK detection, K-nearest neighbor classification, CONDITION-based maintenance, WATER distribution, RANDOM forest algorithms, WATER conservation, DECISION trees

Quantum-Inspired Multi-Objective Seahorse Optimizer for Predictive Maintenance Analysis Using Numerical Association Rule Mining.

Autori: Yacoubi, Salma Manita, Ghaith Chhabra, Amit a ďalší

Zdroj: Cognitive Computation; Aug2025, Vol. 17 Issue 4, p1-45, 45p

Machine Learning Models of the Geospatial Distribution of Groundwater Quality: A Systematic Review.

Autori: Mehrabi, Mohammad Polya, David A. Han, Yang

Zdroj: Water (20734441); Oct2025, Vol. 17 Issue 19, p2861, 48p

Predmety: MACHINE learning, GROUNDWATER quality, STATISTICAL reliability, PREDICTION models, SPATIAL variation, ENVIRONMENTAL risk assessment, POLLUTANTS

Knowledge‐Guided Machine Learning for Operational Flood Forecasting.

Autori: McEachran, Zac Ghosh, Rahul Renganathan, Arvind a ďalší

Zdroj: Water Resources Research; Nov2025, Vol. 61 Issue 11, p1-18, 18p

Predmety: FLOOD forecasting, MACHINE learning, HYDROLOGIC models, FORECASTING, DATA integration, COMPUTER simulation, WATERSHEDS

Korporácia: UNITED States. National Weather Service

Ensemble Methods for Parameter Estimation of WRF‐Hydro.

Autori: RafieeiNasab, Arezoo Fienen, Michael N. Omani, Nina a ďalší

Zdroj: Water Resources Research; Jan2025, Vol. 61 Issue 1, p1-32, 32p

Predmety: OPTIMIZATION algorithms, PARAMETER estimation, HYDROLOGICAL research, HYDROLOGIC models, SET functions