Suchergebnisse - "Yucel, Ozgun"

Efficiency of oral keratinized gingiva detection and measurement based on convolutional neural network.

Autoren: Aykol‐Sahin, Gokce Yucel, Ozgun Eraydin, Nihal et al.

Quelle: Journal of Periodontology; Jun2025, Vol. 96 Issue 6, p652-662, 11p

Schlagwörter: CONVOLUTIONAL neural networks, DEEP learning, DENTISTS, TISSUE analysis, IMAGE segmentation, ORAL mucosa, CALIBRATION

The Development of Machine Learning-Assisted Software for Predicting the Interaction Behaviours of Lactic Acid Bacteria and Listeria monocytogenes.

Autoren: Tarlak, Fatih Correia Peres Costa, Jean Carlos Yucel, Ozgun

Quelle: Life (2075-1729); Feb2025, Vol. 15 Issue 2, p244, 16p

Schlagwörter: LACTIC acid bacteria, MACHINE learning, STANDARD deviations, FOOD safety, PREDICTION models, LISTERIA monocytogenes

Development of prediction software to describe total mesophilic bacteria in spinach using a machine learning-based regression approach.

Autoren: Yildirim-Yalcin, Meral Yucel, Ozgun Tarlak, Fatih

Quelle: Food Science & Technology International; Jan2025, Vol. 31 Issue 1, p3-10, 8p

Schlagwörter: KRIGING, STANDARD deviations, REGRESSION analysis, REGRESSION trees, FOOD microbiology

Development of a Prediction Software for the Growth Kinetics of Pseudomonas spp. in Culture Media using Various Primary Models

Autoren: Tarlak, Fatih Yucel, Ozgun

Quelle: التكنولوجيا الحيوية الغذائية التطبيقية; مجلد 10 عدد 1 (2023): Winter; 1-8 ; Applied Food Biotechnology; Vol. 10 No. 1 (2023): Winter; 1-8 ; بیوتکنولوژی غذایی کاربردی; دوره 10 شماره 1 (2023): Winter; 1-8 ; 食品生物技术的应用; 卷 10 编号 1 (2023): Winter; 1-8 ; 2423-4214 ; 2345-5357

Schlagwörter: ▪ Culture media ▪ growth kinetics ▪ predictive food microbiology ▪ Pseudomonas spp

Dateibeschreibung: application/pdf

Relation: https://journals.sbmu.ac.ir/afb/article/view/39780/30244; https://journals.sbmu.ac.ir/afb/article/view/39780

Verfügbarkeit: https://journals.sbmu.ac.ir/afb/article/view/39780
https://doi.org/10.22037/afb.v10i1.39780

Investigation of Structural, Morphological, and Optical Properties of Novel Electrospun Mg-Doped TiO 2 Nanofibers as an Electron Transport Material for Perovskite Solar Cells.

Autoren: Erdogar, Kubra Yucel, Ozgun Oruc, Muhammed Enes

Quelle: Nanomaterials (2079-4991); Aug2023, Vol. 13 Issue 15, p2255, 15p

Schlagwörter: NANOFIBERS, ELECTRON transport, SOLAR cells, TITANIUM dioxide, OPEN-circuit voltage, OPTICAL properties

Development of a New Modelling Approach and Performance Evaluation of Meta-heuristic Optimization Algorithms for the Prediction of Kinetic Growth Parameters for Pseudomonas spp. in Fish.

Autoren: Tarlak, Fatih Yucel, Ozgun Khosravi-Darani, Kianoush

Quelle: Journal of Pure & Applied Microbiology; Jun2022, Vol. 16 Issue 2, p1263-1273, 11p

Schlagwörter: MATHEMATICAL optimization, SPARUS aurata, BACTERIAL growth, FOOD microbiology, GOODNESS-of-fit tests, PLANT growth promoting substances, PSEUDOMONAS

PREDICTION OF PROXIMATE ANALYSIS AND PROCESS TEMPERATURE OF TORREFIED AND PYROLYZED WOOD PELLETS BY NEAR-INFRARED SPECTROSCOPY COUPLED WITH MACHINE LEARNING.

Alternate Title: TORREFİYE VE PİROLİZ EDİLMİŞ ODUN PELETİNİN PROSES SICAKLIĞININ, KISA ANALİZİNİN MAKİNE ÖĞRENMESİ DESTEKLİ YAKIN KIZILÖTESİ SPEKTROSKOPİSİ İLE TAHMİNİ (Turkish)

Autoren: Kasapoglu-Calik, Meltem Aydin, Ebubekir Siddik Yucel, Ozgun

Quelle: Mugla Journal of Science & Technology; 2020, Vol. 6 Issue 2, p99-110, 12p

Schlagwörter: WOOD pellets, MACHINE learning, DECISION trees, FUEL quality, HEAT treatment, REGRESSION trees, NEAR infrared spectroscopy

Comparison of the different artificial neural networks in prediction of biomass gasification products.

Autoren: Yucel, Ozgun Aydin, Ebubekir Siddik Sadikoglu, Hasan

Quelle: International Journal of Energy Research; Sep2019, Vol. 43 Issue 11, p5992-6003, 12p, 2 Diagrams, 6 Charts, 2 Graphs

Schlagwörter: ARTIFICIAL neural networks, WOOD pellets, AIR flow, BIOMASS gasification, TEMPERATURE distribution, TIME series analysis

Comprehensive Energy System

Autoren: Ibrahim Dincer

Resource Type: eBook.

Schlagworte: Power resources, Power resources--Environmental aspects, Energy policy, Sustainable development

Categories: SCIENCE / Earth Sciences / Geography, SCIENCE / Environmental Science