Aydin K. Sunol

发表

Retrofitting of mass exchange networks with temperature effects

H. E. Alfadala, Aydin K. Sunol, Mahmoud M. El-Halwagi, 2001 .

Chemical Process Fault Diagnosis Using Kernel Retrofitted Fuzzy Genetic Algorithm Based Learner (FGAL) with a Hidden Markov Model

Lawrence O. Hall, Aydin K. Sunol, Ibrahim Burak Özyurt, 1998, IEA/AIE.

Chemical process fault diagnosis using pattern recognition and semi-quantitative model based methods

Lawrence O. Hall, Aydin K. Sunol, Ibrahim Burak Ozyurt, 1998 .

SQFDiag: Semiquantitative Model-Based Fault Monitoring and Diagnosis via Episodic Fuzzy Rules-Systems, Man and Cybernetics, Part A, IEEE Transactions on

Lawrence O. Hall, Aydin K. Sunol, Ibrahim Burak Özyurt, 1999 .

Applications of artificial intelligence in engineering XI

Aydin K. Sunol, G. Rzevski, R. A. Adey, 1996 .

A MACHINE LEARNING APPROACH TO DESIGN AND FAULT DIAGNOSIS

Aydin K. Sunol, B. Özyurt, P. Mogili, 1996 .

Batch Processing Systems Engineering

Aydin K. Sunol, Öner Hortaçsu, Ginraras V. Reklaitis, 1996 .

Fuzzy Genetic Algorithm Based InductiveLearning System (FGALS): A New MachineLearning Approach And Application ForChemical Process Fault Diagnosis

Aydin K. Sunol, I. Burak Özyurt, 1970 .

An integrated approach to the retrofitting of mass exchange networks

H. E. Alfadala, Aydin K. Sunol, Mahmoud M. El-Halwagi, 2001 .

Integration of Natural Language in Developing the Inference Mechanism Provides Powerful Benefits for Engineering Applications

Aydin K. Sunol, E. L. Parkinson, 1991 .

Automatic generation of global phase equilibrium diagrams for binary systems from equations of state

Aydin K. Sunol, Keyur S. Patel, A. Sunol, 2009, Comput. Chem. Eng..

Semi-Quantitative Model Based Chemical Process Fault Diagnosis via Episodic Fuzzy Rules

Lawrence O. Hall, Aydin K. Sunol, Ibrahim Burak Ozyurt, 1998 .

A multi-period mixed integer linear programming model for water and energy supply planning in Kuwait

Aydin K. Sunol, Mark Ross, Nael Abdulhameed Alqattan, 2015, Clean Technologies and Environmental Policy.

Analysis of Thermal Response of a Portable Blood Cooling Device

Aydin K. Sunol, Muhammad M. Rahman, Son H. Ho, 2009 .

Status and prospects of supercritical alcohol transesterification for biodiesel production

Aydin K. Sunol, George Philippidis, Shriyash Rajendra Deshpande, 2017 .

Chemical plant fault diagnosis through a hybrid symbolic- connectionist approach and comparison with neural networks

Aydin K. Sunol, B. Özyurt, P. Mogili, 1995 .

Selected Topics in Artificial Intelligence for Planning and Scheduling Problems, Knowledge Acquisition, and Machine Learning

Aydin K. Sunol, P. Mogili, Muzaffer Kapanoglu, 1996 .

Chemical plant fault diagnosis through a hybrid symbolic-connectionist machine learning approach

Aydin K. Sunol, B. Özyurt, P. Mogili, 1998 .

Dynamic behaviour of methane heat exchange reformer for residential fuel cell power generation system

Aydin K. Sunol, Keyur S. Patel, 2006 .

Modeling and simulation of methane steam reforming in a thermally coupled membrane reactor

Aydin K. Sunol, Keyur S. Patel, A. Sunol, 2007 .

Homotopy continuation based prediction of azeotropy in binary and multicomponent mixtures through equations of state

Aydin K. Sunol, Naveed Aslam, N. Aslam, 2004 .