Mimar Sinan Güzel Sanatlar Üniversitesi Açık Bilim, Sanat Arşivi
Açık Bilim, Sanat Arşivi, Mimar Sinan Güzel Sanatlar Üniversitesi tarafından doğrudan ve dolaylı olarak yayınlanan; kitap, makale, tez, bildiri, rapor gibi tüm akademik kaynakları uluslararası standartlarda dijital ortamda depolar, Üniversitenin akademik performansını izlemeye aracılık eder, kaynakları uzun süreli saklar ve yayınların etkisini artırmak için telif haklarına uygun olarak Açık Erişime sunar.MSGSÜ'de Ara
Konu "machine learning" için listeleme
Toplam kayıt 6, listelenen: 1-6
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Adaptive Neural Architecture Search Using Meta-Heuristics: Discovering Fine-Tuned Predictive Models for Photocatalytic CO2 Reduction
(Multidisciplinary Digital Publishing Institute (MDPI), 2024)This study aims to contribute to the reduction of carbon dioxide and the production of hydrogen through an investigation of the photocatalytic reaction process. Machine learning algorithms can be used to predict the hydrogen ... -
ESTIMATION OF OCCUPANCY STATUS AND LEVELS FOR INDOOR SPACES
(Scibulcom Ltd, 2020)Building energy use today accounts for over 40% of total primary energy consumption. The energy demand for buildings can be decreased through efficient building and facility management. The knowledge related to the use of ... -
Neural Network Predictive Models for Alkali-Activated Concrete Carbon Emission Using Metaheuristic Optimization Algorithms
(Mdpi, 2024)Due to environmental impacts and the need for energy efficiency, the cement industry aims to make more durable and sustainable materials with less energy requirements without compromising mechanical properties based on UN ... -
Prediction of Damping Capacity Demand in Seismic Base Isolators via Machine Learning
(Tech Science Press, 2024)Base isolators used in buildings provide both a good acceleration reduction and structural vibration control structures. The base isolators may lose their damping capacity over time due to environmental or dynamic effects. ... -
Use of Machine Learning Techniques in Soil Classification
(Multidisciplinary Digital Publishing Institute (MDPI), 2023)In the design of reliable structures, the soil classification process is the first step, which involves costly and time-consuming work including laboratory tests. Machine learning (ML), which has wide use in many scientific ... -
Wood-waste classification using interpretable machine learning
(Taylor & Francis, 2025)Determining and classifying the contents of wood wastes, which possess an extremely heterogeneous structure, is crucial for their optimal utilization. The heterogeneous nature of waste wood poses significant challenges for ...
