Suchergebnisse - 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.

Autoren: Adluri, Vijaya Lakshmi Raju Bhukya

Quelle: 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.

Autoren: Costache, Romulus Pal, Subodh Chandra Pande, Chaitanya B. et al.

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

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

Geografische Kategorien: ROMANIA

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

Autoren: Das, Abhijeet

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

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

Geografische Kategorien: MAHANADI River (India), ODISHA (India)

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

Autoren: Razavi-Termeh, Seyed Vahid Safari Bazargani, Jalal Sadeghi-Niaraki, Abolghasem et al.

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

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

Geografische Kategorien: FARS (Iran)

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

Autoren: Elbasi, Ersin Topcu, Ahmet E. Cina, Elda et al.

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

Schlagwörter: 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.

Autoren: Ozlu Ucan, Gulfem Gwassi, Omar Abboosh Hussein Apaydin, Burak Kerem et al.

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

Schlagwörter: 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.

Autoren: Beisekenov, Nail Azamatov, Bagdat Sadenova, Marzhan et al.

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

Schlagwörter: 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.

Autoren: Alarfaj, Mohammed Al-Adhaileh, Mosleh Hmoud Uddin, M. Irfan et al.

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

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

Autoren: Nhung, Ho Le Thi Kim Van Hai, Vo Silhavy, Petr et al.

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

Schlagwörter: 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.

Autoren: Yu, Haitao Zhao, Quanfa

Quelle: 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.

Autoren: Dong, Zhe Yang, Qing Chen, HaoLin et al.

Quelle: 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.

Autoren: Wu, Yuzhang Wang, Aihong

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

Schlagwörter: 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.

Autoren: Kudaibergenov, Muratbek Nurakynov, Serik Iskakov, Berik et al.

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

Schlagwörter: 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.

Autoren: Banda, Jainabbi Harikiran, J.

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

Nucleic Acid‐Based Molecular Machines for Biological Applications.

Autoren: Guo, Yirong Zuo, Xiaolei Yin, Fangfei

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

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

Autoren: Yang, Feng-Wei Li, Zhu-Qing Tang, Yan et al.

Quelle: 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.

Autoren: Lun Ge Xiaoguang Zhou Yongqiang Li et al.

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

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

Three‐Dimensional Probabilistic Hydrofacies Modeling Using Machine Learning.

Autoren: Kawo, Nafyad Serre Korus, Jesse Kishawi, Yaser et al.

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

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

Geografische Kategorien: NEBRASKA

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.

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

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

Application of Artificial Intelligence in Otology: Past, Present, and Future.

Autoren: Koyama, Hajime Kashio, Akinori Yamasoba, Tatsuya

Quelle: Journal of Clinical Medicine; Dec2024, Vol. 13 Issue 24, p7577, 15p

Schlagwörter: GENERATIVE artificial intelligence, ARTIFICIAL intelligence, SENSORINEURAL hearing loss, HEARING aids, COCHLEAR implants, TYMPANOPLASTY