Results 161 to 170 of about 322,571 (230)

Can Deep Learning Methods Differentiate Temporomandibular Joint Disorders From Healthy Joints? A 3D Artificial Intelligence Algorithm Study Based on CBCT Images

open access: yesJournal of Oral Rehabilitation, Volume 53, Issue 10, Page 1932-1942, October 2026.
In this study, an integrated deep learning approach was developed for the evaluation of temporomandibular joint disorders using multicentre CBCT images. The mandibular condyle was first automatically segmented using the nnU‐Net v2 architecture. Subsequently, 3D‐CNN algorithms classified the condyles as healthy or unhealthy and further distinguished ...
İbrahim Şevki Bayrakdar   +5 more
wiley   +1 more source

A Review of Advances in Composite Materials, Structural Optimization, and Machine Learning for Wind Turbine Blades: Challenges and Future Perspectives

open access: yesPolymer Composites, Volume 47, Issue 18, Page 16125-16154, 20 September 2026.
Overview of the holistic engineering lifecycle and core research pillars for wind turbine blades. ABSTRACT This paper reviews recent advancements across the lifecycle of wind turbine blades, focusing on three interconnected areas: advanced composites, structural optimization, and machine learning (ML) diagnostics. In materials, we highlight progress in
Kemal Hasirci   +2 more
wiley   +1 more source

Ege Üniversite Ziraat Fakültesi Mordoğan deneme, araştırma ve üretim istasyonu alt yapı yenileme projesi

open access: yes, 2007
Araştırma Projesi -- Ege Üniversitesi, 2007[Abstract Not ...
Kara, Serdar   +3 more
core  

Labeling Quality or Quantity? The Differential Impact of Geographical Indications on Export Performance in Turkish Agri‐Food Products

open access: yesApplied Economic Perspectives and Policy, Volume 48, Issue 4, Page 1069-1088, September 2026.
ABSTRACT This study investigates the impact of geographical indication (GI) certification on the export performance of Turkish agri‐food products by analyzing both trade volume and unit value dynamics. Drawing on monthly data from 2000 to 2024 across 22 GI‐certified products, the research employs product‐level regressions, fixed‐effects panel models ...
Ihlas Sovbetov, Muge Burcu Ozdemir
wiley   +1 more source

Overcoming the Phase Discontinuity Problem in RIS Optimization: A Robust and Scalable Phase‐Aware Deep Regression Framework via Hybrid CNN–LSTM Architecture

open access: yesAdvanced Intelligent Systems, Volume 8, Issue 9, September 2026.
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen   +3 more
wiley   +1 more source

Long‐Range Dependence, Multifractality, and Trends of Drought Across Multiple Accumulation Periods in Türkiye Derived From SPEI

open access: yesAtmospheric Science Letters, Volume 27, Issue 9, September 2026.
The persistence and complexity analyses suggested a gradual change in drought dynamics with increasing time scales. The DFA scaling exponent (α) increased from 0.49 to 1.23, indicating a tendency toward greater temporal persistence at longer accumulation periods.
Mehmet Ali Çelik
wiley   +1 more source

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