Developing optimum topology of mid-plate in cable bracing systems through deep learning

Structures, Journal Year: 2025, Volume and Issue: 75, P. 108797 - 108797

Published: April 8, 2025

Language: Английский

---

Rock Slope Stability Prediction: A Review of Machine Learning Techniques

Geotechnical and Geological Engineering, Journal Year: 2025, Volume and Issue: 43(3)

Published: Feb. 18, 2025

Language: Английский

---

From Historical Management to Modern Sustainability

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 181 - 230

Published: March 14, 2025

As a major tourism center, Antalya faces challenges in waste management, water conservation, and air quality. The study combines policy analysis with case studies of municipal initiatives to fill gap sustainable urban governance for tourism-driven areas. Key findings include 25-fold rise renewable energy since 2010, an 85% recycling rate 95% landfill diversion, 40% drop tourist area emissions, 15% cut waste, 18% PM10 reduction 2020. AI-driven traffic management systems, IoT-connected bins, zero regulation, local incentives eco-friendly businesses support Antalya's transition governance. sustainability efforts have been significantly enhanced through community involvement, public awareness campaigns, school educational workshops, leading 20% increase household rates. success balancing economic growth environmental stewardship offers replicable model climate adaptation smart city integration tourism-dependent cities.

Language: Английский

---

A metaheuristic optimization framework inspired by virus mutations and its ability to optimize the structural design of 2D and 3D steel frames compared to other methods

Results in Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 105020 - 105020

Published: April 1, 2025

Language: Английский

---

An Overview of Evapotranspiration Estimation Models Utilizing Artificial Intelligence

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1384 - 1384

Published: May 4, 2025

Evapotranspiration (ET) has a significant role in various natural and human systems, such as water cycle balance, climate regulation, ecosystem health, agriculture, hydrological cycle, resource management, studies. Among approaches that are employed for estimating ET, the Penman–Monteith equation is known widely accepted reference approach. However, extensive data requirement of this method crucial challenge limits its usage, particularly data-scarce regions. Therefore, an alternative approach, artificial intelligence (AI) models have gained prominence evapotranspiration because their capacity to handle complicated relationships between meteorological variables loss processes. These leverage large datasets advanced algorithms provide accurate timely ET predictions. The current research aims review previous studies addressing application AI model modeling under four main categories: neuron-based, tree-based, kernel-based, hybrid models. results study indicated traditional like (PM) require input data, while AI-based offer promising alternatives due ability complex nonlinear relationships. Despite potential, face challenges overfitting, interpretability, inconsistent variable selection, lack integration with physical processes, highlighting need standardized configurations, better pre-processing techniques, incorporation remote sensing data.

Language: Английский

---

Method of generating potential evapotranspiration with high precision and resolution

Advances in Space Research, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

---

Ferrokrom Baca Tozu İkameli Çimentoların Basınç Dayanımlarının ANFIS ile Tahmini

Eskişehir Türk Dünyası Uygulama ve Araştırma Merkezi Bilişim Dergisi, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Ülkemizde ve dünyada ekonomik ekolojik nedenlerden dolayı gerek doğal gerekse yapay mineral katkılar çimento beton teknolojisi alanında akademik birçok araştırmaya konu olmaktadır. Özellikle endüstriyel atıklar çevreye olumsuz etkileri nedeniyle daha fazla dikkat çekmektedir. Bu nedenle, sorunlar oluşturan yüksek düzeyde toksik elementlerin kaynaklarından biri olarak çeken bir atık olan ferrokrom baca tozunun teknolojisinde kullanımı oldukça faydalı olacaktır. çalışma, farklı oranlarda hidratasyon yaşlarındaki tozu ikameli harçların basınç dayanımlarının üç ANFIS modeli ile tahmin edilmesi amacıyla gerçekleştirilmiştir. Çalışmanın ilk aşamasında, Portland çimentosuna %0, %2.5, %5, %7.5 %10 oranlarında ikame edilmiş bu dayanımları belirlenmiştir. İkinci aşamada, editöründe yer alan “üçgen”, “yamuk” “gauss” üyelik fonksiyonu model oluşturularak edilmiştir. Son bölümde sonuçları, gerçek değerlerle R2, MAPE RMSE istatiksel yöntemleri karşılaştırılmıştır. Elde edilen verilere göre dayanımı değerlerinin yaklaşık %98 doğrulukla edildiği görülmüştür.

---