Yaşar İslamoğlu

A review on applications of ANN and SVM for building electrical energy consumption forecasting

Effects of biochar amendment on ammonia emission during composting of sewage sludge

Review of digital twin about concepts, technologies, and industrial applications

Data-driven ship digital twin for estimating the speed loss caused by the marine fouling

A review of data-driven building energy consumption prediction studies

Performance-based health monitoring, diagnostics and prognostics for condition-based maintenance of gas turbines: A review

On-line monitoring the performance of coal-fired power unit: A method based on support vector machine

Predicting hourly cooling load in the building: A comparison of support vector machine and different artificial neural networks

Investigation of the energy separation effect and flow mechanism inside a vortex tube

Enhancements in domestic refrigeration, approaching a sustainable refrigerator – A review

Determination and prediction on “three zones” of coal spontaneous combustion in a gob of fully mechanized caving face

An artificial neural network approach to compressor performance prediction

A review on the prediction of building energy consumption

Digital Twin: Enabling Technologies, Challenges and Open Research

A Deep Learning Approach to Network Intrusion Detection

Neural-network based analysis and prediction of a compressor’s characteristic performance map

A review on time series forecasting techniques for building energy consumption

Applying support vector machine to predict hourly cooling load in the building

Neural prediction of heat loss in the pig manure composting process

Deep Learning in Automotive Software

A Survey of Deep Learning and Its Applications: A New Paradigm to Machine Learning

Modeling of the effects of length to diameter ratio and nozzle number on the performance of counterflow Ranque–Hilsch vortex tubes using artificial neural networks

The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities

A review on phase change material (PCM) for sustainable passive cooling in building envelopes

A new approach for the prediction of the heat transfer rate of the wire-on-tube type heat exchanger––use of an artificial neural network model

Performance prediction for non-adiabatic capillary tube suction line heat exchanger: an artificial neural network approach

Application of artificial neural network to predict specific fuel consumption and exhaust temperature for a Diesel engine

Heat transfer analysis using ANNs with experimental data for air flowing in corrugated channels