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Submissions from 2011

The prediction and diagnosis of wind turbine faults, Andrew Kusiak and Wenyan Li

Multi-objective optimization of HVAC system with an evolutionary computation algorithm, Andrew Kusiak, Fan Tang, and Guanglin Xu

A data-driven approach for monitoring blade pitch faults in wind turbines, Andrew Kusiak and Anoop Verma

Prediction of status patterns of wind turbines: A data-mining approach, Andrew Kusiak and Anoop Verma

Adaptive control of a wind turbine with data mining and swarm intelligence, Andrew Kusiak and Zijun Zhang

Mining Markov chain transition matrix from wind speed time series data, Zhe Song, Xiulin Geng, Andrew Kusiak, and Chang Xu

Submissions from 2010

Selection of modules for mass customisation, Catherine De Cunha

Mining Authoritativeness of Collaborative Innovation Partners, J. Engler and Andrew kusiak

Agent-based control of thermostatic appliances, Joseph Engler and Andrew Kusiak

Cooling output optimization of an air handling unit, Andrew Kusiak and Mingyang Li

Reheat optimization of the variable-air-volume box, Andrew Kusiak and Mingyang Li

Modeling and optimization of HVAC energy consumption, Andrew Kusiak, Mingyang Li, and Fan Tang

A data-driven approach for steam load prediction in buildings, Andrew Kusiak, Mingyang Li, and Zijun Zhang

Virtual models of indoor-air-quality sensors, Andrew Kusiak, Mingyang Li, and Haiyang Zheng

Estimation of wind speed: A data-driven approach, Andrew Kusiak and Wenyan Li

Short-term prediction of wind power with a clustering approach, Andrew Kusiak and Wenyan Li

Virtual models for prediction of wind turbine parameters, Andrew Kusiak and Wenyan Li

Dynamic control of wind turbines, Andrew Kusiak, Wenyan Li, and Zhe Song

Design of wind farm layout for maximum wind energy capture, Andrew Kusiak and Zhe Song

Analysis of wind turbine vibrations based on SCADA data, Andrew Kusiak and Zijun Zhang

Short-horizon prediction of wind power: A data-driven approach, Andrew Kusiak and Zijun Zhang

Optimization of wind turbine performance with data-driven models, Andrew Kusiak, Zijun Zhang, and Mingyang Li

Optimization of wind turbine energy and power factor with an evolutionary computation algorithm, Andrew Kusiak and Haiyang Zheng

Power optimization of wind turbines with data mining and evolutionary computation, Andrew Kusiak, Haiyang Zheng, and Zhe Song

Development of a Monolithic Active Pixel Sensor Using SOI Technology With a Thick Device Layer, J. Marczewski, P. Grabiec, K. Kucharski, and D. Tomaszewski

Relabeling algorithm for retrieval of noisy instances and improving prediction quality, Shital Shah and Andrew Kusiak

Mining Pareto-optimal modules for delayed product differentiation, Zhe Song and Andrew Kusiak

Multiobjective optimization of temporal processes, Zhe Song and Andrew Kusiak

2010 2nd International Conference on Information Technology Convergence and Services, ITCS 2010: Message from the general chairs, Sang-Soo Yeo, Andrew Kusiak, and Alan Chin-Chen Chang

Submissions from 2009

Preface eKNOW 2009, Kemal Delic, Petre Dini, Andrew Kusiak, and Sang-Goo Lee

Innovation: A data-driven approach, Andrew Kusiak

Optimal decision making in ventilation control, Andrew Kusiak and Mingyang Li

Sensor fault detection in power plants, Andrew Kusiak and Zhe Song

Anticipatory control of wind turbines with data-driven predictive models, Andrew Kusiak, Zhe Song, and Haiyang Zheng

Models for monitoring wind farm power, Andrew Kusiak, Haiyang Zheng, and Zhe Song

On-line monitoring of power curves, Andrew Kusiak, Haiyang Zheng, and Zhe Song

Short-term prediction of wind farm power: A data mining approach, Andrew Kusiak, Haiyang Zheng, and Zhe Song

Wind farm power prediction: a data-mining approach, Andrew Kusiak, Haiyang Zheng, and Zhe Song

Optimization of temporal processes: A model predictive control approach, Zhe Song and Andrew Kusiak

Optimising product configurations with a data-mining approach, Z. Song and Andrew Kusiak

Prediction of wind farm power ramp rates: A data-mining approach, Haiyang Zheng and Andrew Kusiak

Submissions from 2008

Clustering-based performance optimization of the boiler-turbine system, Andrew Kusiak and Zhe Song

Data mining for prediction of wind farm power ramp rates, Andrew Kusiak and Haiyang Zheng

Submissions from 2007

Design for cost: Module-based mass customization, Catherine Da Cunha, Bruno Agard, and Andrew Kusiak

Innovation science: A primer, Andrew Kusiak

Innovation: The living laboratory perspective, Andrew Kusiak

Computational intelligence in product design engineering: Review and trends, Andrew Kusiak and Filippo A. Salustri

Data mining in design of products and production systems, Andrew Kusiak and Matthew Smith

Planning product configurations based on sales data, Andrew Kusiak, Matthew R. Smith, and Zhe Song

Evolutionary-based heuristic generators for checkers and give-away checkers, Jacek Mańdziuk, Magdalena Kusiak, and Karol Walńdzik

Cancer gene search with data-mining and genetic algorithms, Shital Shah and Andrew Kusiak

Constraint-based control of boiler efficiency: A data-mining approach, Zhe Song and Andrew Kusiak

Submissions from 2006

Data mining for improvement of product quality, C. Da Cunha, B. Agard, and Andrew Kusiak

Selection and validation of predictive regression and neural network models based on designed experiments, Chang-Xue (Jack) Feng, Zhi-Guang Yu, and Andrew Kusiak

Data mining: manufacturing and service applications, Andrew Kusiak

Innovation science, Andrew Kusiak

Hypoplastic left heart syndrome: Knowledge discovery with a data mining approach, Andrew Kusiak, Christopher A. Caldarone, Michael D. Kelleher, and Fred S. Lamb

Data-mining-based system for prediction of water chemistry faults, Andrew Kusiak and S. Shah

Combustion efficiency optimization and virtual testing: A data-mining approach, Andrew Kusiak and Zhe Song

Patient-recognition data-mining model for BCG-plus interferon immunotherapy bladder cancer treatment, Shital C. Shah, Andrew Kusiak, and Michael A. O'Donnell

Submissions from 2005

Selection of invariant objects with a data-mining approach, Andrew Kusiak

Mining temporal data: A coal-fired boiler case study, Andrew Kusiak and Alex Burns

Optimizing combustion efficiency of a circulating fluidized boiler: A data mining approach, Andrew Kusiak, Alex Burns, and Ferman Milster

Detection of events causing pluggage of a coal-fired boller: A data mining approach, Andrew Kusiak, Alex Burns, Shital Shah, and Nick Novotny

Predicting survival time for kidney dialysis patients: A data mining approach, Andrew Kusiak, Bradley Dixon, and Shital Shah

Enterprise resource planning (ERP) operations support system for maintaining process integration, K. Park and Andrew Kusiak

Submissions from 2004

Data-mining-based methodology for the design of product families, B. Agard and Andrew Kusiak

Data mining for subassembly selection, Bruno Agard and Andrew Kusiak

Data mining and genetic algorithm based gene/SNP selection, Shital C. Shah and Andrew Kusiak

Submissions from 2003

Mining temporal data sets: Hypoplastic left heart syndrome case study, Andrew Kusiak, Christopher A. Caldarone, Michael D. Kelleher, and Fred S. Lamb

Data Mining in Predicting Survival of Kidney Dialysis Patients, Shital Shah, Andrew Kusiak, and Bradley Dixon

Submissions from 2002

A data mining approach for generation of control signatures, Andrew Kusiak

Data mining and decision making, Andrew Kusiak

Integrated product and process design: a modularity perspective, Andrew Kusiak

Submissions from 2001

Scheduling manufacturing systems in an agile environment, David W. He, Astghik Babayan, and Andrew Kusiak

Feature transformation methods in data mining, Andrew Kusiak

Rough set theory: a data mining tool for semiconductor manufacturing, Andrew Kusiak

Data mining of printed-circuit board defects, Andrew Kusiak and C. Kurasek

The G-algorithm for extraction of robust decision rules - children's postoperative intra-atrial arrhythmia case study, Andrew Kusiak, I. H. Law, and D. MacDonald II

Process analysis and reengineering, Armen Zakarian and Andrew Kusiak

Submissions from 2000

A graph-theoretic approach to conceptual design with functional perspectives, L. Al-Hakim, Andrew Kusiak, and J. Mathew

Robust Tolerance Synthesis With the Design of Experiments Approach, Chang-Xue (Jack) Feng and Andrew Kusiak

Decomposition in automatic generation of Petri nets for manufacturing system control and scheduling, David W. He, B. Strege, H. Tolle, and Andrew Kusiak

Autonomous diagnostics: a data mining approach, Andrew Kusiak

Decomposition in data mining: An industrial case study, Andrew Kusiak

Evolutionary computation and data mining, Andrew Kusiak

Autonomous decision-making: a data mining approach, Andrew Kusiak, Jeffrey A. Kern, Kemp H. Kernstine, and Bill T.L. Tseng

Evolutionary Computation In Generation Of Process Models, Andrew Kusiak and Andrew Kusiak

Analysis of process models, Armen Zakarian and Andrew Kusiak

Submissions from 1999

Synthesis of modular mechatronic products: a testability perspective, Chun-Che Huang and Andrew Kusiak

Forming teams: an analytical approach, Armen Zakarian and Andrew Kusiak

Submissions from 1998

Designing an assembly line for modular products, David W. He and Andrew Kusiak

Delayed product differentiation: A design and manufacturing perspective, David W. He, Andrew Kusiak, and Tzu-Liang Tseng

Manufacturing control with a push-pull approach, C. C. Huang and Andrew Kusiak

Modularity in design of products and systems, Chun-Che Huang and Andrew Kusiak

Design for agility: A scheduling perspective, Andrew Kusiak and David W. He

Submissions from 1997

Dynamic scheduling of design activities with resource constraints, Upendra Belhe and Andrew Kusiak

Robust Tolerance Design With the Integer Programming Approach, Chang-Xue (Jack) Feng and Andrew Kusiak

Scheduling models for setup reduction, Chang-Xue Feng, Andrew Kusiak, and Chun-Che Huang

Design of assembly systems for modular products, David W. He and Andrew Kusiak