Konu "Forecasting" için Araştırma Çıktıları | Web of Science İndeksli Yayınlar Koleksiyonu listeleme
Toplam kayıt 11, listelenen: 1-11
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Deep Learning with ConvNet Predicts Imagery Tasks Through EEG
(Springer, 2021)Deep learning with convolutional neural networks (ConvNets) has dramatically improved the learning capabilities of computer vision applications just through considering raw data without any prior feature extraction. Nowadays, ... -
DEEPScreen: high performance drug-target interaction prediction with convolutional neural networks using 2-D structural compound representations
(Royal Soc Chemistry, 2020)The identification of physical interactions between drug candidate compounds and target biomolecules is an important process in drug discovery. Since conventional screening procedures are expensive and time consuming, ... -
Forecasting the Baltic Dry Index by using an artificial neural network approach
(TÜBİTAK Scientific & Technical Research Council Turkey, 2018)The Baltic Dry Index (BDI) is a robust indicator in the shipping sector in terms of global economic activities, future world trade, transport capacity, freight rates, ship demand, ship orders, etc. It is hard to forecast ... -
Modeling of highways energy consumption with artificial intelligence and regression methods
(Springer, 2021)While developing technology and industrialization factors increase production, they also lead to an increase in energy consumption at the same time. The transportation sector, which is a branch of industrialization, has ... -
A new hybrid meta-heuristic optimization method for predicting UTS for FSW of Al/Cu dissimilar materials
(SAGE Publications, 2023)Joining of aluminum (Al) and copper (Cu) materials used in aerospace, automotive, chemistry, nuclear, electrical-electronic and energy sector with traditional fusion welding methods has some negative consequences. One of ... -
Non-targeted approach to detect green pea and peanut adulteration in pistachio by using portable FT-IR, and UV-Vis spectroscopy
(Springer, 2020)Pistachio is one of the most expensive nuts with having high economic importance in Turkey. It has become more prone to adulteration because of its high commodity value. Peanut with color additives and green pea are generally ... -
Optimization of dynamic ticket pricing parameters
(Palgrave Macmillan Ltd, 2019)This paper proposes a joint pricing model that combines the advantages of variable and dynamic ticket pricing models, where optimal dynamic prices are calculated for sporting events based on game-, time-, and inventory-related ... -
Prediction of footing settlements with geogrid reinforcement and eccentricity
(ICE Publishing, 2019)This study presents settlement predictions for footings with geogrid reinforcement and biaxial eccentricity using multi-linear regression (MLR) and artificial neural network (ANN) methods. The effects of central, uniaxial ... -
The prediction of surface roughness and tool vibration by using metaheuristic-based ANFIS during dry turning of Al alloy (AA6013)
(Springer, 2022)In this article, the adaptive neuro-based fuzzy inference system (ANFIS) model is developed to estimate the surface roughness (Ra) and tool vibrations (Acc) of AA6013 aluminum alloy during dry turning. Turning experiments ... -
Pull-out capacity prediction of sustainable cementitious composites with artificial intelligence and statistical methods
(Wiley, 2023)Concrete is used with reinforcement in structures so adherence gains importance especially in fire scenarios. To contribute production of sustainable concrete, by-products like granulated blast furnace slag, fly ash, and ... -
Solar panel energy production forecasting by machine learning methods and contribution of lifespan to sustainability
(Springer, 2023)The struggle to protect the atmosphere and the environment is increasing rapidly around the world. More work is needed to make energy production from renewable energy sources sustainable. The integration of energy with ...