Výsledky vyhledávání - Multilayer perception AND its stacking integration algorithm*

An intelligent framework of heuristic approach-aided optimal gene selection and residual LSTM with MLP for disease prediction in rice crop using gene expression data.

Autoři: Adluri, Vijaya Lakshmi Raju Bhukya

Zdroj: Signal, Image & Video Processing; Apr2025, Vol. 19 Issue 4, p1-15, 15p

Flood mapping based on novel ensemble modeling involving the deep learning, Harris Hawk optimization algorithm and stacking based machine learning.

Autoři: Costache, Romulus Pal, Subodh Chandra Pande, Chaitanya B. a další

Zdroj: Applied Water Science; Apr2024, Vol. 14 Issue 4, p1-23, 23p

Témata: DEEP learning, OPTIMIZATION algorithms, STACKING machines, MACHINE learning, FLOODS, FEATURE selection

Geografický termín: ROMANIA

An optimization based framework for water quality assessment and pollution source apportionment employing GIS and machine learning techniques for smart surface water governance.

Autoři: Das, Abhijeet

Zdroj: Discover Environment; 8/22/2025, Vol. 3 Issue 1, p1-35, 35p

Témata: WATER quality, WATER pollution, RIPARIAN areas, WATER management, GEOGRAPHIC information systems, POLLUTION measurement, MACHINE learning, DECISION theory

Geografický termín: MAHANADI River (India), ODISHA (India)

Virtual reality-assisted visualization of flood susceptibility using optimized machine learning models.

Autoři: Razavi-Termeh, Seyed Vahid Safari Bazargani, Jalal Sadeghi-Niaraki, Abolghasem a další

Zdroj: Applied Water Science; Oct2025, Vol. 15 Issue 10, p1-21, 21p

Témata: VIRTUAL reality, MACHINE learning, OPTIMIZATION algorithms, FLOOD risk, ENVIRONMENTAL mapping, GEOGRAPHICAL positions, RANDOM forest algorithms

Geografický termín: FARS (Iran)

Enhanced Plant Leaf Classification over a Large Number of Classes Using Machine Learning.

Autoři: Elbasi, Ersin Topcu, Ahmet E. Cina, Elda a další

Zdroj: Applied Sciences (2076-3417); Nov2024, Vol. 14 Issue 22, p10507, 23p

Témata: PLANT classification, FEATURE selection, FEATURE extraction, AGRICULTURE, PLANT identification

Automated Age Estimation from OPG Images and Patient Records Using Deep Feature Extraction and Modified Genetic–Random Forest.

Autoři: Ozlu Ucan, Gulfem Gwassi, Omar Abboosh Hussein Apaydin, Burak Kerem a další

Zdroj: Diagnostics (2075-4418); Feb2025, Vol. 15 Issue 3, p314, 27p

Témata: CONVOLUTIONAL neural networks, RANDOM forest algorithms, FORENSIC sciences, ARTIFICIAL intelligence, DEEP learning

Data-Driven Design and Additive Manufacturing of Patient-Specific Lattice Titanium Scaffolds for Mandibular Bone Reconstruction.

Autoři: Beisekenov, Nail Azamatov, Bagdat Sadenova, Marzhan a další

Zdroj: Journal of Functional Biomaterials; Sep2025, Vol. 16 Issue 9, p350, 22p

Témata: TISSUE scaffolds, MANDIBLE, BIOMECHANICS, PERFORMANCE-based design, RAPID prototyping, SYSTEM integration, MATERIALS testing

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

Autoři: Alarfaj, Mohammed Al-Adhaileh, Mosleh Hmoud Uddin, M. Irfan a další

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

An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities.

Autoři: Zhang, Yuanyuan Tian, Manli Liu, Baolin

Zdroj: Frontiers in Neuroinformatics; 2025, p1-12, 12p

Témata: ARTIFICIAL neural networks, CONVOLUTIONAL neural networks, FUNCTIONAL magnetic resonance imaging, IMAGE recognition (Computer vision), VISUAL perception

Incorporating statistical and machine learning techniques into the optimization of correction factors for software development effort estimation.

Autoři: Nhung, Ho Le Thi Kim Van Hai, Vo Silhavy, Petr a další

Zdroj: Journal of Software: Evolution & Process; May2024, Vol. 36 Issue 5, p1-37, 37p

Témata: STATISTICAL learning, CORRECTION factors, COMPUTER software development, MATHEMATICAL optimization, STANDARD deviations

Brain-inspired multisensory integration neural network for cross-modal recognition through spatiotemporal dynamics and deep learning.

Autoři: Yu, Haitao Zhao, Quanfa

Zdroj: Cognitive Neurodynamics; Dec2024, Vol. 18 Issue 6, p3615-3628, 14p

A lightweight transformer-based framework for real-time foreign object detection in complex railway environments.

Autoři: Dong, Zhe Yang, Qing Chen, HaoLin a další

Zdroj: Journal of Real-Time Image Processing; Jan2026, Vol. 23 Issue 1, p1-15, 15p

A Review on the Applications of Artificial Intelligence for Diagnosing and Treating Cervical Cancer.

Autoři: Wu, Yuzhang Wang, Aihong

Zdroj: International Journal of Women's Health; Oct2025, Vol. 17, p3955-3970, 16p

Témata: ARTIFICIAL intelligence, CERVICAL cancer, THERAPEUTICS, MEDICAL screening, GYNECOLOGIC cancer, MEDICAL research, MEDICAL innovations, DIAGNOSIS

Application of Artificial Intelligence in Landslide Susceptibility Assessment: Review of Recent Progress.

Autoři: Kudaibergenov, Muratbek Nurakynov, Serik Iskakov, Berik a další

Zdroj: Remote Sensing; Jan2025, Vol. 17 Issue 1, p34, 44p

Témata: CONVOLUTIONAL neural networks, LANDSLIDE hazard analysis, SUPPORT vector machines, EMERGENCY management, ARTIFICIAL intelligence, LANDSLIDES

An optimized deep-learning framework for underwater object detection and classification using UGIF-Net and spatiotemporal attention.

Autoři: Banda, Jainabbi Harikiran, J.

Zdroj: Journal of Real-Time Image Processing; Dec2025, Vol. 22 Issue 6, p1-28, 28p

Nucleic Acid‐Based Molecular Machines for Biological Applications.

Autoři: Guo, Yirong Zuo, Xiaolei Yin, Fangfei

Zdroj: Advanced Nanobiomed Research; Nov2025, Vol. 5 Issue 11, p1-24, 24p

Multi-Information Fusion Method for Traditional Chinese Medicine Constitution Identification in the Elderly.

Autoři: Yang, Feng-Wei Li, Zhu-Qing Tang, Yan a další

Zdroj: World Journal of Traditional Chinese Medicine; Jul-Sep2025, Vol. 11 Issue 3, p405-415, 11p

Deep reinforcement learning navigation via decision transformer in autonomous driving.

Autoři: Lun Ge Xiaoguang Zhou Yongqiang Li a další

Zdroj: Frontiers in Neurorobotics; 2024, p1-25, 25p

Témata: REINFORCEMENT learning, DEEP reinforcement learning, TRANSFORMER models, PARTIALLY observable Markov decision processes, AUTONOMOUS vehicles, NAVIGATION

Research in the Area of Pattern Recognition and Image Analysis at the Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences and Its Predecessors.

Autoři: Zakharov, V. N. Trusova, Yu. O.

Zdroj: Pattern Recognition & Image Analysis; Dec2023, Vol. 33 Issue 4, p646-663, 18p

Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning.

Autoři: Kawo, Nafyad Serre Korus, Jesse Kishawi, Yaser a další

Zdroj: Water Resources Research; Jul2024, Vol. 60 Issue 7, p1-19, 19p

Témata: MACHINE learning, GLACIAL drift, AQUIFERS, HYDRAULIC conductivity, GROUNDWATER flow, HYDROGEOLOGY, K-means clustering, GLACIERS, AQUIFER pollution

Geografický termín: NEBRASKA