Výsledky vyhľadávania - "Deep Learning Algorithms"

Forward Predicting Chromatic-Optical Parameters of the Mixed Light of White-Red Light-Emitting Diode Configurations Based on Deep Learning Algorithms

Autori: Songsheng Lin Huanting Chen Yin Zheng a ďalší

Zdroj: IEEE Photonics Journal, Vol 17, Iss 3, Pp 1-7 (2025)

Predmety: White-red LED configurations, deep learning algorithms, Applied optics. Photonics, QC350-467, Optics. Light, optical and chromatic parameters, spectral power distribution, TA1501-1820

Prístupová URL adresa: https://doaj.org/article/5c8cd203ad91467480d01fb45ff04caf

Automatic identification of dental implant brands with deep learning algorithms

Autori: Hasret Yuce Gozde Acıkgoz Saif Al-Jumaili a ďalší

Zdroj: Dentomaxillofacial Radiology. 54:588-596

Research on Deep Learning Algorithms and Applications in Robotic Arm Control

Autori: Wenyu Zhou

Zdroj: Applied and Computational Engineering. 181:147-153

Enhancing the accuracy of Alzheimer's disease diagnosis through the application of deep learning algorithms for early detection

Autori: Temitope Samson Adekunle Roseline Oluwaseun Ogundokun Pius Adewale Owolawi a ďalší

Zdroj: International Journal of Innovative Research and Scientific Studies. 8:544-555

Deep Learning Algorithms for Stock Market Trend Prediction in Financial Risk Management

Autori: null Vrinda Sachdeva null Anitha Bolimela null Manoj Kumar Goyal a ďalší

Zdroj: REVISTA LATINOAMERICANA DE LA PAPA. 29:202-219

Predicting Stock Market Trends Using Machine Learning and Deep Learning Algorithms: A Comparative Analysis of Continuous and Binary Data

Autori: null R Sandeep null Dr. Chokkamreddy Prakash

Zdroj: International Journal of Advanced Research in Science, Communication and Technology. :87-95

Dimensionality cutback and deep learning algorithms efficacy as to the breast cancer diagnostic dataset

Autori: Gennady Chuiko Denys Honcharov

Zdroj: Радіоелектронні і комп'ютерні системи, Vol 2024, Iss 4, Pp 91-98 (2024)

Predmety: wisconsin breast cancer dataset, TK7885-7895, diagnosing malignant-benign tumors, Computer engineering. Computer hardware, breast cancer, weka, Electronic computers. Computer science, deep learning algorithms, QA75.5-76.95

Prístupová URL adresa: https://doaj.org/article/7ee604b90c644f749beef15b9dbffb81

A new state-of-the-art technique for textural and structural microimager data analysis using deep learning algorithms

Autori: G. A. Kossov V. V. Abashkin S. S. Egorov a ďalší

Zdroj: Georesursy, Vol 0, Iss 0 (2024)

Predmety: convolution neural networks, QE1-996.5, quantitative geological interpretation, borehole formation microimager, Geology, automated interpretation, computer vision

Prístupová URL adresa: https://doaj.org/article/36a8fee166524b3d9be3947bf6992699

Geospatial analysis of crime patterns and hotspots for crime prevention using deep learning algorithms

Autori: Aamir Khan Nisha Chandran Durgaprasad Gangodkar

Zdroj: EDPACS. :1-14

Software Defect Prediction Based On Deep Learning Algorithms : A Systematic Literature Review

Autori: null Akhlas Tariq Hasan null Shayma Mustafa Mohi-Aldeen

Zdroj: AL-Rafidain Journal of Computer Sciences and Mathematics. 19:67-79

Comparative Analysis of Intelligent Methods for Automatic Anomaly Detection in Industrial and Distributed Systems Based on Machine Learning and Deep Learning Algorithms

Autori: M. K. Arabov R. A. Burnashev O. A. Medvedeva

Zdroj: 2025 International Russian Automation Conference (RusAutoCon). :279-284

Deep learning algorithms and Raman spectroscopy in the clinical laboratory setting

Autori: Charlotte Delrue Marijn M. Speeckaert Sander De Bruyne

Zdroj: Critical Reviews in Clinical Laboratory Sciences. :1-29

Comparison of the characteristics between machine learning and deep learning algorithms for ablation site classification in a novel cloud-based system

Autori: Masataka Narita Daisuke Kawano Naomichi Tanaka a ďalší

Zdroj: Heart Rhythm. 22:e572-e577

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/40107403

FORECASTING CURRENT EXCHANGE AND GOLD RATES WITH HYBRID MODELS USING TIME SERIES AND DEEP LEARNING ALGORITHMS

Autori: Gökalp Çınarer

Zdroj: International Journal of 3D Printing Technologies and Digital Industry. 9:171-182

Optimizing personalised recommender systems for teachers’ digital learning models using deep learning algorithms

Autori: Deming Li Kellyt D. Ortegas

Zdroj: Interactive Learning Environments. :1-15

Variance-Based Osteoporosis Detection and Classification Using Deep Learning Algorithms

Autori: Arun Inigo Selvaraj Tamilselvi Rajendran Parisa Beham Mohammed

Zdroj: Traitement du Signa. 42:2157-2167

Research Progress on the Application of Deep Learning Algorithms in Fiber Identification

Autori: Yinlei Cheng Naidong Zhao Lehan Zhang

Zdroj: 2025 IEEE 8th Advanced Information Technology, Electronic and Automation Control Conference (IAEAC). :595-598

Frequency-Selective Adversarial Attack in WSN Detected using Deep Learning Algorithms

Autori: J. Sathya M. P. Chitra

Zdroj: 2025 3rd International Conference on Sustainable Computing and Data Communication Systems (ICSCDS). :1870-1874

Utilizing Deep Learning Algorithms for the Prompt Identification of Chronic Obstructive Pulmonary Disease

Autori: Carlos Medina-Ramos Nilton Sare-Vargas Warren Reategui-Romero a ďalší

Zdroj: Engineering, Technology & Applied Science Research. 15:24940-24949

Comparative Analysis of Machine Learning and Deep Learning Algorithms for Breast Cancer Classification

Autori: Prasun Mazumder

Zdroj: 2025 International Conference on Quantum Photonics, Artificial Intelligence, and Networking (QPAIN). :1-5