Search Results - Machine Learning based algorithms

Algorithms based on Deep Learning in the context of Agriculture 4.0

Algoritmos baseados em Deep Learning no contexto da Agricultura 4.0

Authors: Mendes, João Carlos Sampaio Maldonado Costa Costa, Lino Pereira, Ana I. et al.

Contributors: Mendes, João Carlos Sampaio Maldonado Costa Costa, Lino Pereira, Ana I. et al.

Source: urn:tid:101698089

Subject Terms: Artificial Intelligence, Convolutional Neural Networks, Deep Learning, Olive Cultivation, Hyperparameter Optimization, Inteligência Artificial, Redes Neurais Convolucionais, Aprendizagem profunda, Olivicultura, Otimização de Hiperparâmetros

File Description: application/pdf

Availability: https://hdl.handle.net/1822/96251

Enhancing Project Completion Date Prediction Using a Hybrid Model: Rule-Based Algorithm and Machine Learning Algorithm

Authors: Mohd Shahrizan Abd Rahman Nor Azliana Akmal Jamaludin Zuraini Zainol et al.

Source: International Journal on Advanced Science, Engineering and Information Technology. 15:1047-1059

Development of Machine-Learning–Based Algorithms for Remote Respiratory Disease Monitoring and Assessment

Authors: Negar Orangi-Fard Alexandru Bogdan Hersh Sagreiya

Source: Military Medicine. 190:814-820

Chatbot Assistant for Enhancing Religious Court Services in Indonesia Using Deep Learning-based Algorithms

Authors: Dian Sa’adillah Maylawati Siah Khosyi’ah Naufal Rizqullah et al.

Source: International Journal of Computing. :243-253

Machine learning-based algorithm of drug-resistant prediction in newly diagnosed patients with temporal lobe epilepsy

Authors: Lingyan Mao Gaoxing Zheng Yang Cai et al.

Source: Clinical Neurophysiology. 171:154-163

Subject Terms: Machine Learning, Male, Adult, Drug Resistant Epilepsy, Young Adult, Epilepsy, Temporal Lobe, Adolescent, Humans, Female, Electroencephalography, Prospective Studies, Middle Aged, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/39914157

On the development of diagnostic support algorithms based on CPET biosignals data via machine learning and wavelets

Authors: Pinheiro, Rafael F. Fonseca-Pinto, Rui Brunello, Andrea et al.

Contributors: Pinheiro, Rafael F. Fonseca-Pinto, Rui Brunello, Andrea et al.

Subject Terms: CPET, Multi-class classification, Early diagnosis systems, Heart disease, Metabolic diseases

File Description: application/pdf

Relation: 2376-5992

Availability: http://hdl.handle.net/10400.8/14200

Evaluating Gaze Event Detection Algorithms: Impacts on Machine Learning-based Classification and Psycholinguistic Statistical Modeling

Authors: Reich, David Robert Prasse, Paul Jäger, Lena A et al.

Contributors: Reich, David Robert Prasse, Paul Jäger, Lena A et al.

Source: Proceedings of the ACM on Human-Computer Interaction. 9:1-15

Subject Terms: 1709 Human-Computer Interaction, 10105 Institute of Computational Linguistics, 3301 Social Sciences (miscellaneous), 1705 Computer Networks and Communications, 410 Linguistics, 000 Computer science, knowledge & systems

File Description: 3725835.pdf - application/pdf

Comparative analysis of machine learning-based dose assessment algorithms for TL dosimetry

Authors: Soohyeok Lee Hyoungtaek Kim Hwijoon Jung et al.

Source: Nuclear Engineering and Technology, Vol 56, Iss 12, Pp 5414-5421 (2024)

Subject Terms: Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Dosimetry, TK9001-9401, TLD, Nuclear engineering. Atomic power, Dose assessment algorithm, ANN, 01 natural sciences, LightGBM, 0105 earth and related environmental sciences

Access URL: https://doaj.org/article/08ccc6a66d3742b5b808c5f32beeca64

Diagnostic accuracy of deep learning-based algorithms in laryngoscopy: a systematic review and meta-analysis

Authors: Shengyi Du Jin Guo Donghai Huang et al.

Source: European Archives of Oto-Rhino-Laryngology. 282:351-360

Subject Terms: Deep Learning, Laryngoscopy, Humans, Laryngeal Neoplasms, Sensitivity and Specificity, Algorithms

Access URL: https://pubmed.ncbi.nlm.nih.gov/39446141

Investigation of Machine Learning-Based Algorithms for Identification of Diabetes Disease

Authors: Ali Shafique Arslan Saleem Abdul Sami et al.

Source: 2025 7th International Congress on Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). :1-6

Study of SMS Spam Detection Using Machine Learning Based Algorithms

Authors: null Ravi H Gedam null Dr. Sumit Kumar Banchhor

Source: International Research Journal on Advanced Engineering and Management (IRJAEM). 3:339-345

Development of Machine Learning–based Algorithms to Predict the 2- and 5-year Risk of TKA After Tibial Plateau Fracture Treatment

Authors: Nick Assink Maria P. Gonzalez-Perrino Raul Santana-Trejo et al.

Source: Clinical Orthopaedics & Related Research. 483:1731-1743

Access URL: https://pubmed.ncbi.nlm.nih.gov/40106382
https://hdl.handle.net/11370/2518522c-f06a-488a-9633-7288811c9a07
https://research.rug.nl/en/publications/2518522c-f06a-488a-9633-7288811c9a07
https://doi.org/10.1097/CORR.0000000000003442

Efficient and convergent natural gradient based optimization algorithms for machine learning

Authors: Sánchez López, Borja

Contributors: University/Department: Universitat de Barcelona. Departament de Matemàtiques i Informàtica

Thesis Advisors: Cerquides Bueno, Jesús, López Sánchez, Maite

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Aprenentatge automàtic, Aprendizaje automático, Machine learning, Optimització matemàtica, Optimización matemática, Mathematical optimization, Programació (Matemàtica), Programación matemática, Mathematical programming, Algorismes computacionals, Algoritmos computacionales, Computer algorithms, Convergència (Matemàtica), Convergencia, Convergence, Ciències Experimentals i Matemàtiques

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/689000

Data correlation matrix-based spam URL detection using machine learning algorithms

Authors: Funda Akar

Source: Issue: 05656-69
Journal of Scientific Reports-A

Subject Terms: Makine Öğrenme (Diğer), Artificial Intelligence (Other), 0209 industrial biotechnology, classification, machine learning, Spam Detection, Tree-based Algorithms, 0202 electrical engineering, electronic engineering, information engineering, Yapay Zeka (Diğer), 02 engineering and technology, Machine Learning (Other)

File Description: application/pdf

Access URL: https://dergipark.org.tr/tr/pub/jsr-a/issue/80909/1422913

Classification of NOx Emission in Marine Engines Utilizing kNN-Based Machine Learning Algorithms

Authors: Samet Memiş Ramazan Şener

Source: International Journal of Pioneering Technology and Engineering, Vol 3, Iss 02, Pp 74-79 (2024)

Subject Terms: machine learning, classification, marine engines, nox emission, TA1-2040, Engineering (General). Civil engineering (General)

Access URL: https://doaj.org/article/5f9d706aa99f44808a6103d38f7535c7

Data-driven modeling of syngas yield from biomass pyrolysis using hybrid tree-based machine learning algorithms

Authors: DU Jia-Hao LUO Sheng-Li Samim Sherzod

Source: Industrial Crops and Products, Vol 236, Iss , Pp 121993- (2025)

Subject Terms: Syngas yield, Data-driven modeling, Tree-based machine learning, TPE optimization, Biomass pyrolysis, Outlier detection, Plant culture, SB1-1110

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S0926669025015390; https://doaj.org/toc/1872-633X

Access URL: https://doaj.org/article/fe12bfa88a0e41078a7d6259b2229a80

A study of deep learning-based algorithms for supply chain logistics demand forecasting

Authors: Song Meijing Nor Hasliza Md. Saad

Source: Edelweiss Applied Science and Technology. 9:1640-1654

A Critical Review of Battery Health Monitoring and RUL Estimation Using AI and Machine Learning-Based Algorithms

Authors: A. Shubhangi Rao V. Joshi Manohar

Source: Role of Plug-in Electric Vehicles in Grid Management Services ISBN: 9781003613237

Claims-based algorithms for common chronic conditions were efficiently constructed using machine learning methods

Authors: Hara, Konan Kobayashi, Yasuki Tomio, Jun et al.

Contributors: Hara, Konan Kobayashi, Yasuki Tomio, Jun et al.

Source: PLoS ONE. 16(9):1-19

Subject Terms: Medical and Health Sciences, Health Sciences, Medicin och hälsovetenskap, Hälsovetenskap, Clinical Medicine, Cardiology and Cardiovascular Disease, Klinisk medicin, Kardiologi och kardiovaskulära sjukdomar

Access URL: https://doi.org/10.1371/journal.pone.0254394

Deep Learning-Based Method for Detecting Parkinson using 1D Convolutional Neural Networks and Improved Jellyfish Algorithms

Authors: M, Arogia Victor Paul Sankar, Sharmila

Source: International journal of electrical and computer engineering systems
Volume 15
Issue 6

Subject Terms: Improved jellyfish algorithm, Convolutional Neural Network, Parkinson Disease Classification, Filter-based feature selection model

File Description: application/pdf

Access URL: https://hrcak.srce.hr/317689
https://doi.org/10.32985/ijeces.15.6.5
https://hrcak.srce.hr/317689
https://hrcak.srce.hr/file/459045
https://doi.org/10.32985/ijeces.15.6.5