Halit Yaşar

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

Performance characteristics of a low heat rejection diesel engine operating with biodiesel

An experimental investigation of the effect of the injection pressure on engine performance and exhaust emission in indirect injection diesel engines

Influence of temperature and mixture stratification on HCCI combustion using chemiluminescence images and CFD analysis

Effects of temperature inhomogeneities on the HCCI combustion in an optical engine

Homogeneous charge compression ignition (HCCI) combustion: Mixture preparation and control strategies in diesel engines

Digital Twin: Enabling Technologies, Challenges and Open Research

A Deep Learning Approach to Network Intrusion Detection

Review of biodiesel composition, properties, and specifications

Deep Learning in Automotive Software

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

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

An experimental and numerical analysis of the influence of the inlet temperature, equivalence ratio and compression ratio on the HCCI auto-ignition process of Primary Reference Fuels in an engine

Effect of biodiesel on engine performances and emissions

The effect of thermal barrier coating on a turbo-charged Diesel engine performance and exergy potential of the exhaust gas

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

Evaluation of heat transfer correlations for HCCI engine modeling

Performance and exhaust emission characteristics of a lower compression ratio LHR Diesel engine