Metric-Free Learning Network with Dual Relations Propagation for Few-Shot Aspect Category Sentiment Analysis

Συγγραφείς: Shiman Zhao, Yutao Xie, Wei Chen, Tengjiao Wang, Jian Yao, Jiayu Zheng

Πηγή: Transactions of the Association for Computational Linguistics, Vol 12 (2024)

Θεματικοί όροι: Artificial intelligence, Metric (unit), Economics, Semi-Supervised Learning, FOS: Mechanical engineering, Organic chemistry, 02 engineering and technology, Sentiment analysis, Engineering, Clustering Analysis, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Theory and Applications of Extreme Learning Machines, 10. No inequality, Dimensionality Reduction, Dual (grammatical number), Natural language processing, 4. Education, Performance metric, Linguistics, Transfer Learning, Computer science, Mechanical engineering, FOS: Philosophy, ethics and religion, Management, 3. Good health, Shot (pellet), One shot, Philosophy, Chemistry, Operations management, Advances in Transfer Learning and Domain Adaptation, Computer Science, Physical Sciences, Computational linguistics. Natural language processing, FOS: Languages and literature, Computer Vision and Pattern Recognition, P98-98.5, Few-Shot Learning, Face Recognition and Dimensionality Reduction Techniques

Σύνδεσμος πρόσβασης: https://doaj.org/article/5ff2cee2462341e7b0c025b93bdfadc5

Evolutionary optimization framework to train multilayer perceptrons for engineering applications

Συγγραφείς: Rami Al-Hajj, Mohamad M. Fouad, Mustafa Zeki

Πηγή: Mathematical Biosciences and Engineering, Vol 21, Iss 2, Pp 2970-2990 (2024)

Θεματικοί όροι: Backpropagation Learning, Artificial neural network, cooperative optimization algorithm, 0209 industrial biotechnology, Artificial intelligence, Economics, Backpropagation, 02 engineering and technology, evolutionary training, optimizing multilayer perceptrons, 7. Clean energy, Activation function, Feedforward Neural Networks, Artificial Intelligence, Evolutionary algorithm, Machine learning, QA1-939, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Swarm Intelligence Optimization Algorithms, Optimization problem, Theory and Applications of Extreme Learning Machines, Constraint Handling, Economic growth, Ensemble Learning, Perceptron, Geography, Mathematical optimization, optimizing neural networks, Neural Network Fundamentals and Applications, neural networks, Computer science, Regression, Algorithm, machine learning, evolutionary computation, multilayer perceptrons, Computer Science, Physical Sciences, Convergence (economics), Global optimization, Benchmark (surveying), heuristic optimization, TP248.13-248.65, Mathematics, Geodesy, Biotechnology

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38454715
https://doaj.org/article/056d6257fa0d48eb8db31d57a58793b7

Twin Bounded Support Vector Machine with Capped Pinball Loss

Συγγραφείς: Huiru Wang, Xia Hong, Siyuan Zhang

Πηγή: Cognitive Computation. 16:2185-2205

Θεματικοί όροι: Artificial intelligence, Support vector machine, Geometry, Noise (video), 02 engineering and technology, Quadratic programming, Mathematical analysis, Control Systems and Network Applications, Bounded function, Engineering, Artificial Intelligence, Support Vector Machines, Series (stratigraphy), FOS: Mathematics, Image (mathematics), 0202 electrical engineering, electronic engineering, information engineering, Theory and Applications of Extreme Learning Machines, Biology, Coordinate descent, Dual (grammatical number), 4. Education, Mathematical optimization, Quadratic equation, Paleontology, Computer science, Convex optimization, Regular polygon, Algorithm, Control and Systems Engineering, Literature, Computer Science, Physical Sciences, Computer Vision and Pattern Recognition, Classifier (UML), Face Recognition and Dimensionality Reduction Techniques, Mathematics, Art

High-Performance Method for Brain Tumor Feature Extraction in MRI Using Complex Network

Συγγραφείς: Hán Trọng Thanh, Hinh Nguyen Van, Dang Luu Vu

Πηγή: Appl Bionics Biomech
Applied Bionics and Biomechanics, Vol 2023 (2023)

Θεματικοί όροι: Artificial intelligence, QH301-705.5, Feature (linguistics), Brain Tumors, Classification of Brain Tumor Type and Grade, Cancer research, Image Segmentation, Pattern recognition (psychology), Feature Extraction, Medical Imaging, Artificial Intelligence, Object Detection, Pathology, Biology (General), Theory and Applications of Extreme Learning Machines, Life Sciences, Linguistics, Glioma, Computer science, FOS: Philosophy, ethics and religion, Brain tumor, Philosophy, Neurology, Computer Science, Physical Sciences, FOS: Languages and literature, Feature extraction, Medicine, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, TP248.13-248.65, Biotechnology, Research Article, Neuroscience

Περιγραφή αρχείου: text/xhtml

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/37780200
https://doaj.org/article/091c1f2bfbf94f7e9401ba2d62f6261d

An Intelligent Heuristic Manta-Ray Foraging Optimization and Adaptive Extreme Learning Machine for Hand Gesture Image Recognition

Συγγραφείς: Seetharam Khetavath, Navalpur Chinnappan Sendhilkumar, P. Mukunthan, Selvaganesan Jana, Subburayalu Gopalakrishnan, Lakshmanan Malliga, Sankuru Ravi Chand, Yousef Farhaoui

Πηγή: Big Data Mining and Analytics, Vol 6, Iss 3, Pp 321-335 (2023)

Θεματικοί όροι: Wireless Home Automation Systems, Artificial intelligence, Gesture Recognition, morphological operations, Word error rate, Heuristic, Pattern recognition (psychology), Gesture recognition, Sign Language, Gesture, Engineering, Segmentation, Artificial Intelligence, heuristic manta-ray foraging optimization (hmfo), Machine learning, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Theory and Applications of Extreme Learning Machines, Image segmentation, QA75.5-76.95, 15. Life on land, Computer science, hand gesture recognition, adaptive extreme learning machine (aelm), Human-Computer Interaction, Continuous Recognition, Gesture Recognition in Human-Computer Interaction, Electronic computers. Computer science, multifaceted feature extraction (mfe) model, Computer Science, Physical Sciences, Computer vision, skin color detection, Hand Gesture

Σύνδεσμος πρόσβασης: https://doaj.org/article/2e387370e65c4f45af145fbc88033f1e

Addressing feature selection and extreme learning machine tuning by diversity-oriented social network search: an application for phishing websites detection

Συγγραφείς: Nebojša Bačanin, Miodrag Živković, Milos Antonijevic, K. Venkatachalam, Jin‐Seok Lee, Yunyoung Nam, Marina Marjanović, Ivana Strumberger, Mohamed Abouhawwash

Πηγή: Complex & Intelligent Systems, Vol 9, Iss 6, Pp 7269-7304 (2023)

Θεματικοί όροι: FOS: Computer and information sciences, Artificial neural network, Artificial intelligence, Extreme learning machine, Feature (linguistics), Metaheuristic, Information technology, 02 engineering and technology, Phishing, Detection and Prevention of Phishing Attacks, Social network search, Machine Learning, Selection (genetic algorithm), Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, Theory and Applications of Extreme Learning Machines, Data mining, Computational intelligence, Machine Learning in Smart Healthcare, Linguistics, QA75.5-76.95, T58.5-58.64, Computer science, FOS: Philosophy, ethics and religion, World Wide Web, Philosophy, URL Filtering, Diversification, Electronic computers. Computer science, Computer Science, Physical Sciences, Bot Detection, Feature selection, FOS: Languages and literature, Extreme Learning Machine, Hyper-parameters optimization, The Internet, Metaheuristics optimization, Information Systems

Σύνδεσμος πρόσβασης: https://doaj.org/article/dec0d6eadad44c15803529951fb22cb4

Levenberg-Marquardt backpropagation neural network procedures for the consumption of hard water-based kidney function

Συγγραφείς: Zulqurnain Sabir, Muhammad Umar

Πηγή: International Journal of Mathematics and Computer in Engineering. 1:127-138

Θεματικοί όροι: 0301 basic medicine, Artificial neural network, Artificial intelligence, Environmental Engineering, Rainfall-Runoff Modeling, Electricity Price and Load Forecasting Methods, Backpropagation, 03 medical and health sciences, Engineering, Artificial Intelligence, Hydrological Modeling using Machine Learning Methods, Sigmoid function, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Electrical and Electronic Engineering, Theory and Applications of Extreme Learning Machines, 0303 health sciences, Statistics, FOS: Environmental engineering, Levenberg–Marquardt algorithm, Computer science, 6. Clean water, Algorithm, Computer Science, Physical Sciences, Environmental Science, Mean squared error, Correctness, Mathematics

A modified Adam algorithm for deep neural network optimization

Συγγραφείς: Mohamed Reyad, Amany Sarhan, M. Arafa

Πηγή: Neural Computing and Applications. 35:17095-17112

Θεματικοί όροι: Function Approximation, Backpropagation Learning, Artificial neural network, Incremental Learning, Artificial intelligence, Economics, FOS: Political science, Norm (philosophy), Generalization, Convolutional neural network, FOS: Law, 02 engineering and technology, MNIST database, Mathematical analysis, 7. Clean energy, Deep Learning, Stochastic gradient descent, Artificial Intelligence, Machine learning, 0202 electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Neural Network Architectures, Theory and Applications of Extreme Learning Machines, Political science, Economic growth, Gradient descent, 4. Education, Deep learning, Neural Network Fundamentals and Applications, Computer science, Algorithm, Computer Science, Physical Sciences, Convergence (economics), Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Law, Mathematics

LogicWiSARD: Memoryless Synthesis of Weightless Neural Networks

Συγγραφείς: Igor D. S. Miranda, Aman Arora, Zachary Susskind, Luis A. Q. Villon, Rafael F. Katopodis, Diego Leonel Cadette Dutra, Leandro Santiago de Araújo, Priscila M. V. Lima, Felipe M. G. França, Lizy John, Maurício Breternitz

Πηγή: 2022 IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP). :19-26

Θεματικοί όροι: WiSARD, Artificial neural network, Artificial intelligence, Convolutional neural network, 02 engineering and technology, Activation function, Inference, Artificial Intelligence, Computer engineering, 0202 electrical engineering, electronic engineering, information engineering, Neural Network Architectures, Multilayer perceptron, Computer architecture, Weightless neural networks, Theory and Applications of Extreme Learning Machines, Embedded system, FPGA, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação, Logic gate, Neural Network Fundamentals and Applications, Lookup table, Computer science, VLSI, Field-programmable gate array, Logic synthesis, Programming language, Application-specific integrated circuit, Algorithm, Computer Science, Physical Sciences, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: http://hdl.handle.net/10071/26404

Piecewise Congruence Regressed Indexive Extreme Learning Classifier for Software Fault Prediction

Συγγραφείς: Sureka Sivavelu, Venkatesh Palanisamy

Πηγή: IEEE Access, Vol 12, Pp 119958-119972 (2024)

Θεματικοί όροι: statistical indexive Levenberg extreme learning classifier, Artificial intelligence, Software quality, Process Fault Detection and Diagnosis in Industries, Pattern recognition (psychology), Mathematical analysis, Engineering, Artificial Intelligence, Actuator, Machine learning, FOS: Mathematics, Fault Detection and Correction, Theory and Applications of Extreme Learning Machines, Data mining, Ensemble Learning, Camargo's statistical index, congruence coefficient piecewise regression, 4. Education, Software fault prediction, Software development, Fault Detection, Computer science, TK1-9971, Programming language, Software metric, Control and Systems Engineering, Piecewise, Computer Science, Physical Sciences, Feature selection, Software Reliability Modeling, Fault detection and isolation, Electrical engineering. Electronics. Nuclear engineering, Software Reliability Assessment and Prediction, Classifier (UML), Extreme Learning Machine, Hardlimit activation function, Software, Mathematics

Σύνδεσμος πρόσβασης: https://doaj.org/article/706fe5b4a1fe4eb0ad06018fbca0b84d

Brain Tumor Identification Using Data Augmentation and Transfer Learning Approach

Συγγραφείς: K. Kavin Kumar, P. M. Dinesh, P. Rayavel, L. Vijayaraja, Dhanasekar Ravikumar, Rupa Kesavan, Raju Kannadasan, Arfat Ahmad Khan, Chitapong Wechtaisong, Mohd Anul Haq, Zamil S. Alzamil, Ahmed Alhussen

Πηγή: Computer Systems Science and Engineering. 46:1845-1861

Θεματικοί όροι: Artificial neural network, Radiology, Nuclear Medicine and Imaging, Artificial intelligence, FOS: Political science, Brain Tumors, Classification of Brain Tumor Type and Grade, FOS: Law, 02 engineering and technology, Residual neural network, Identification (biology), Transfer of learning, Artificial Intelligence, Health Sciences, Machine learning, Pathology, 0202 electrical engineering, electronic engineering, information engineering, Theory and Applications of Extreme Learning Machines, Biology, Political science, Seriousness, Medical diagnosis, Botany, Life Sciences, Deep learning, Applications of Deep Learning in Medical Imaging, Computer science, Process (computing), 3. Good health, Brain tumor, Operating system, Neurology, Computer Science, Physical Sciences, Medicine, Radiology, Law, Neuroscience

Diagnosis of Malaria Using Double Hidden Layer Extreme Learning Machine Algorithm With CNN Feature Extraction and Parasite Inflator

Συγγραφείς: Md. Omaer Faruq Goni, Md. Nazrul İslam Mondal, S. M. Riazul Islam, Md. Nahiduzzaman, Md. Robiul Islam, Md. Shamim Anower, Kyung Sup Kwak

Συνεισφορές: University of Aberdeen.Computing Science

Πηγή: IEEE Access, Vol 11, Pp 4117-4130 (2023)

Θεματικοί όροι: Artificial intelligence, Extreme learning machine, Convolutional neural network (CNN), Robustness (evolution), Extractor, 02 engineering and technology, Pattern recognition (psychology), Biochemistry, Gene, Engineering, Automated Analysis of Blood Cell Images, 0202 electrical engineering, electronic engineering, information engineering, Theory and Applications of Extreme Learning Machines, Malaria Parasite Detection, 4. Education, Regression, 3. Good health, extreme learning machine (ELM), Chemistry, RB Pathology, Physical Sciences, Medical Image Analysis, Medicine, Feature extraction, Electrical engineering. Electronics. Nuclear engineering, Computer Vision and Pattern Recognition, Artificial neural network, Immunology, malaria, Convolutional neural network, QA76, SDG 3 - Good Health and Well-being, QA76 Computer software, Artificial Intelligence, Health Sciences, Machine learning, Global Impact of Arboviral Diseases, Biology, double hidden layer extreme learning machine (DELM), FOS: Clinical medicine, Public Health, Environmental and Occupational Health, Deep learning, Computer science, TK1-9971, Malaria, Computer Science, Process engineering, Classifier (UML), RB, Extreme Learning Machine

Περιγραφή αρχείου: application/pdf

Σύνδεσμος πρόσβασης: https://doaj.org/article/74c57a8889474df3b5de77114ef8a5d3

Heart disease detection using inertial Mann relaxed $ CQ $ algorithms for split feasibility problems

Συγγραφείς: Suthep Suantai, Pronpat Peeyada, Andreea Fulga, Watcharaporn Cholamjiak

Πηγή: AIMS Mathematics, Vol 8, Iss 8, Pp 18898-18918 (2023)

Θεματικοί όροι: Optimization, Artificial intelligence, Economics, Computational Mechanics, Set (abstract data type), Fixed-Point Problems, split feasibility problem, Quantum mechanics, Engineering, Range (aeronautics), Compressed Sensing, Artificial Intelligence, Machine learning, QA1-939, Image (mathematics), data classification, Iterative Algorithms, Theory and Applications of Extreme Learning Machines, Economic growth, Physics, 4. Education, heart disease data, Iterative Algorithms for Nonlinear Operators and Optimization, Theory and Applications of Compressed Sensing, Computer science, Programming language, 3. Good health, Algorithm, Aerospace engineering, Computational Theory and Mathematics, Thresholding, inertial technique, Computer Science, Physical Sciences, Convergence (economics), weak convergence, Inertial frame of reference, Mathematics

Σύνδεσμος πρόσβασης: https://doaj.org/article/ff65a6472a9744f9ac1531772f3ed2a8

Machine Learning-Based Models for Magnetic Resonance Imaging (MRI)-Based Brain Tumor Classification

Συγγραφείς: Abdullah A. Asiri, Bilal Khan, Fazal Muhammad, Shams ur Rahman, Hassan A. Alshamrani, Khalaf Alshamrani, Muhammad Irfan, Fawaz F. Alqhtani

Πηγή: Intelligent Automation & Soft Computing. 36:299-312

Θεματικοί όροι: Artificial neural network, Artificial intelligence, Support vector machine, Brain Tumors, Classification of Brain Tumor Type and Grade, Receiver operating characteristic, Mathematical analysis, 03 medical and health sciences, Medical Imaging, Magnetic resonance imaging, 0302 clinical medicine, Artificial Intelligence, F1 score, Machine learning, Decision tree, FOS: Mathematics, Theory and Applications of Extreme Learning Machines, Precision and recall, Naive Bayes classifier, Life Sciences, 15. Life on land, Computer science, Process (computing), 3. Good health, Operating system, Neurology, Categorization, Computer Science, Physical Sciences, Tree (set theory), Medicine, Deep Learning in Computer Vision and Image Recognition, Computer Vision and Pattern Recognition, Radiology, Mathematics, Neuroscience, MRI, Random forest

Developing Novel Robust Loss Functions-Based Classification Layers for DLLSTM Neural Networks

Συγγραφείς: Mohamad Abou Houran, Mohamed H. Essai Ali, Adel B. Abdel-Raman, Eman A. Badry, Alaaeldien Hassan, Hany A. Atallah

Πηγή: IEEE Access, Vol 11, Pp 49863-49873 (2023)

Θεματικοί όροι: Backpropagation Learning, Function Approximation, Artificial neural network, Artificial intelligence, Economics, Evolutionary biology, Deep Learning, Artificial Intelligence, FOS: Mathematics, Theory and Applications of Extreme Learning Machines, sum squared error, Biology, Economic growth, Ensemble Learning, Algebra over a field, DLLSTM, Arithmetic, 9. Industry and infrastructure, 4. Education, Statistics, Pure mathematics, mean absolute error, Neural Network Fundamentals and Applications, Discrete mathematics, Computer science, Regression, loss function, TK1-9971, Algorithm, Notation, Function (biology), Computer Science, Physical Sciences, Deep Learning for Wireless Signal Classification, Convergence (economics), Mean squared error, Electrical engineering. Electronics. Nuclear engineering, Mathematics, DNN

Σύνδεσμος πρόσβασης: https://doaj.org/article/b6e383cfa5144783a30e85c3adb3d8c3

Learning Coefficient Heterogeneity over Networks: A Distributed Spanning-Tree-Based Fused-Lasso Regression

Συγγραφείς: Xin Zhang, Lixin Jia, Zhengyuan Zhu

Πηγή: Journal of the American Statistical Association. 119:485-497

Θεματικοί όροι: Statistics and Probability, Artificial intelligence, Minimum spanning tree, Regularization and Variable Selection Methods, 01 natural sciences, Artificial Intelligence, Lasso (programming language), Machine learning, FOS: Mathematics, Linear regression, 0101 mathematics, Theory and Applications of Extreme Learning Machines, Spanning tree, Statistics, 04 agricultural and veterinary sciences, Computer science, Regression, Algorithm, World Wide Web, Combinatorics, Computer Science, Physical Sciences, Tree (set theory), 0401 agriculture, forestry, and fisheries, Computer Vision and Pattern Recognition, Face Recognition and Dimensionality Reduction Techniques, Regression analysis, Mathematics

A methodology for coffee price forecasting based on extreme learning machines

Συγγραφείς: Carolina Deina, Matheus Henrique do Amaral Prates, Carlos Henrique Alves, Marcella Scoczynski Ribeiro Martins, Flávio Trojan, Sérgio Luiz Stevan, Hugo Valadares Siqueira

Πηγή: Information Processing in Agriculture, Vol 9, Iss 4, Pp 556-565 (2022)

Θεματικοί όροι: Artificial intelligence, Coffee price forecasting, Extreme learning machine, Agriculture (General), Social Sciences, Autoregressive model, 7. Clean energy, S1-972, Decision Sciences, Engineering, Theory and Applications of Extreme Learning Machines, Ensemble Learning, Artificial neural networks, Extreme value theory, Statistics, 05 social sciences, T58.5-58.64, Exponential smoothing, Autocorrelation, Physical Sciences, Artificial neural network, Time series, Electricity Price and Load Forecasting Methods, Information technology, Management Science and Operations Research, Forecasting Models, FOS: Economics and business, Artificial Intelligence, Moving average, Machine learning, 0502 economics and business, FOS: Electrical engineering, electronic engineering, information engineering, FOS: Mathematics, Multilayer perceptron, Econometrics, 14. Life underwater, Electrical and Electronic Engineering, Computational intelligence, Autoregressive integrated moving average, Electricity Price Forecasting, Predicting Stock Market Trends and Movements, 15. Life on land, Computer science, Partial autocorrelation function, 13. Climate action, Computer Science, Computer vision, Linear models, Extreme Learning Machine, Short-Term Forecasting, Mathematics

Σύνδεσμος πρόσβασης: https://doaj.org/article/afbc81ec03694545b9564914b335a98a
https://www.sciencedirect.com/science/article/pii/S2214317321000597

Modelling and prediction approach for engine performance and exhaust emission based on artificial intelligence of sterculia foetida biodiesel

Συγγραφείς: Abdi Hanra Sebayang, Jassinnee Milano, Abd Halim Shamsuddin, Munawar Alfansuri, A.S. Silitonga, Fitranto Kusumo, Rico Aditia Prahmana, H. Fayaz, Mohd Faiz Muaz Ahmad Zamri

Πηγή: Energy Reports, Vol 8, Iss, Pp 8333-8345 (2022)

Θεματικοί όροι: Brake specific fuel consumption, Diesel engine, Pulp and paper industry, Engine Performance, Technical Aspects of Biodiesel Production, Biomedical Engineering, 0211 other engineering and technologies, Combustion, Organic chemistry, EN 14214, NOx, 02 engineering and technology, FOS: Medical engineering, Automotive engineering, 7. Clean energy, Environmental science, Catalysis, Emission characteristic, Engineering, Artificial Intelligence, Engine performance, FOS: Electrical engineering, electronic engineering, information engineering, 0202 electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Theory and Applications of Extreme Learning Machines, Waste management, Methanol, Sterculia foetida, Fuel Cell Durability, Materials science, TK1-9971, Biodiesel production, Chemistry, Transesterification, 13. Climate action, Fuel Cell Membrane Technology, Physical Sciences, Computer Science, Process engineering, Electrical engineering. Electronics. Nuclear engineering, Biodiesel, Diesel fuel

Σύνδεσμος πρόσβασης: https://doaj.org/article/59a2de4287c6478a9b6db2442ffc5f7c

An enhanced pattern detection and segmentation of brain tumors in MRI images using deep learning technique

Συγγραφείς: Lubna Kiran, Asim Zeb, Qazi Nida ur Rehman, Taj Rahman, Muhammad Shehzad Khan, Shafiq Ahmad, Muhammad Irfan, M. Naeem, Shamsul Huda, Haitham A. Mahmoud

Πηγή: Front Comput Neurosci
Frontiers in Computational Neuroscience, Vol 18 (2024)

Θεματικοί όροι: Artificial intelligence, Brain Tumors, Neurosciences. Biological psychiatry. Neuropsychiatry, Classification of Brain Tumor Type and Grade, Convolutional neural network, 02 engineering and technology, Image Segmentation, Pattern recognition (psychology), neuroscience, convolution neural network, 03 medical and health sciences, 0302 clinical medicine, Segmentation, pattern detection, Artificial Intelligence, Object Detection, 0202 electrical engineering, electronic engineering, information engineering, Image (mathematics), segmentation technique, Theory and Applications of Extreme Learning Machines, Preprocessor, deep learning, Life Sciences, Deep learning, Transfer Learning, Computer science, Regression, 3. Good health, Neurology, Thresholding, Computer Science, Physical Sciences, Deep Learning in Computer Vision and Image Recognition, Computer vision, Computer Vision and Pattern Recognition, brain tumor, RC321-571, Neuroscience

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38988988
https://doaj.org/article/22354603095a4d9b954fd3368c496370

Integrated metaheuristic algorithms with extreme learning machine models for river streamflow prediction

Συγγραφείς: Nguyen Van Thieu, Ngoc Hung Nguyen, Mohsen Sherif, Ahmed El-Shafie, Ali Najah Ahmed

Πηγή: Sci Rep
Scientific Reports, Vol 14, Iss 1, Pp 1-26 (2024)

Θεματικοί όροι: Artificial neural network, Cartography, Artificial intelligence, Environmental Engineering, Rainfall-Runoff Modeling, Extreme learning machine, Drainage basin, Electricity Price and Load Forecasting Methods, Science, 0207 environmental engineering, Metaheuristic, Streamflow, 02 engineering and technology, 7. Clean energy, Article, 12. Responsible consumption, Engineering, Artificial Intelligence, Hydrological Modeling using Machine Learning Methods, River streamflow, Machine learning, Metaheuristic optimization algorithm, 0202 electrical engineering, electronic engineering, information engineering, FOS: Electrical engineering, electronic engineering, information engineering, Electrical and Electronic Engineering, Theory and Applications of Extreme Learning Machines, Nile river, Data mining, Forecasting model, Geography, FOS: Environmental engineering, Load Forecasting, 15. Life on land, Computer science, 6. Clean water, Algorithm, 13. Climate action, Computer Science, Physical Sciences, Environmental Science, Nature-inspired algorithms, Medicine, Extreme Learning Machine, Short-Term Forecasting, Probabilistic Forecasting

Σύνδεσμος πρόσβασης: https://pubmed.ncbi.nlm.nih.gov/38866871
https://doaj.org/article/e6496f92d6f04ae98815e7078e7b3d13