Edward P. Fitts Department of Industrial & Systems Engineering - 2019

Pazhani, S., Beeg, T., Zmithrovitch, K., & Lazo, N. (2019). Volume-based Prioritization for Lot Dispatching and Mathematical Model Based Lot Scheduling for Nikon Tools. Cree | Wolfspeed Innovation Summit. Poster presented at the Cree | Wolfspeed Innovation Summit, Raleigh, NC.

Lourenco, C., Escobedo, A. R., Moreno-Centeno, E., & Davis, T. A. (2019). Exact solution of sparse linear systems via left-looking roundoff-error-free LU factorization in time proportional to arithmetic work. SIAM Journal on Matrix Analysis and Applications, 40(2), 609–638. https://doi.org/10.1137/18M1202499

Kyle Skolfield, J., Escobar, L. M., & Escobedo, A. R. (2019). Derivation and generation of path-based valid inequalities for transmission expansion planning. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85093423715&partnerID=MN8TOARS

Grant, E., Livingston, F. J., Craver, M. D., Hegarty-Craver, M. S., Reid, L. G., & others. (2019, December). Binary encoding of sensors in textile structures.

Rachunok, B. A., Bennett, J. B., & Nateghi, R. (2019). Twitter and Disasters: A Social Resilience Fingerprint. IEEE Access, 7, 58495–58506. https://doi.org/10.1109/ACCESS.2019.2914797

Deng, J., Zhou, H., Dong, J., & Cohen, P. (2019). Three-dimensional nanomolds fabrication for nanoimprint lithography. Procedia Manufacturing, 34, 228–232. https://doi.org/10.1016/j.promfg.2019.06.143

Yao, S., Ren, P., Song, R., Liu, Y., Huang, Q., Dong, J., … Zhu, Y. (2019). Nanomaterial-Enabled Flexible and Stretchable Sensing Systems: Processing, Integration, and Applications. ADVANCED MATERIALS. https://doi.org/10.1002/adma.201902343

Cheng, F., & Dong, J.-Y. (2019). Nano-machining AFM Tip Wear Monitoring Based on Time Series Data and Support Vector Machine,基于时间序列数据和支持向量机的纳米加工AFM刀尖损伤监测. Jiliang Xuebao/Acta Metrologica Sinica, 40(4), 647–654. https://doi.org/10.3969/j.issn.1000-1158.2019.04.17

Dong, J. (2019). Editorial: Welcome to engineering research express. Engineering Research Express, 1(1). https://doi.org/10.1088/2631-8695/ab2758

Afrati, F., & Chirkova, R. (2019). Answering queries using views. San Rafael, CA: Morgan & Claypool Publishers.

Bansal, A., Uzsoy, R., & Kempf, K. G. (2019). Coordinating Capacity Negotiations in Semiconductor Manufacturing. Proceedings of the IEEE Conference on Automation Science and Engineering. Presented at the CASE 2019 - International Conference on Automation Science and Engineering, Vancouver, British Columbia, Canada.

Kapadia, M. S., Starly, B., Thomas, A., Uzsoy, R., & Warsing, D. (2019, May). Impact of Part Scheduling Policy on Additive Manufacturing Production System Performance. Presented at the Institute of Industrial and Systems Engineering Research Conference, Orlando, FL.

Manda, A. B., & Uzsoy, R. (2019, May). Simulation Optimization For Planning Product Transitions In Semiconductor Manufacturing Facilities. Presented at the Institute of Industrial and Systems Engineering Research Conference, Orlando, FL.

Gopalswamy, K., & Uzsoy, R. (2019, May). Conic Reformulation of Production Planning Models with Clearing Functions. Presented at the Institute of Industrial and Systems Engineering Research Conference, Orlando, FL.

Manda, A. B., & Uzsoy, R. (2019). Optimzing Engineering and Production Lots During Product Transitions in Semiconductor Manufacturing. Presented at the 2019 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc40007.2019.9004879

Bluemink, B., de Kok, A. G., Srinivasan, B., & Uzsoy, R. (2019). Evaluating Mixed Integer Programming Models for Solving Stochastic Inventory Problems. Presented at the 2019 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc40007.2019.9004920

Bansala, A., Uzsoy, R., & Kempf, K. (2019). Iterative combinatorial auctions for managing product transitions in semiconductor manufacturing. IISE TRANSACTIONS. https://doi.org/10.1080/24725854.2019.1651951

Albey, E., Yanikoglu, I., & Uzsoy, R. (2019). A Robust Optimization Approach for Production Planning Under Exogenous Planned Lead Times. Presented at the 2019 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc40007.2019.9004671

Jeong, C., & Fang, X. (2019). Penalized matrix regression for two-dimensional variable selection. ArXiv. Retrieved from http://www.scopus.com/inward/record.url?eid=2-s2.0-85098348719&partnerID=MN8TOARS

Simulating Uncertainty of Early Warning Scores in Sepsis Detection. (2019). Proceedings of the 10th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics  - BCB '19. https://doi.org/10.1145/3307339.3343252

A simulation model to assess the impact of insurance expansion on colorectal cancer screening at the population level. (2019). Proceedings - Winter Simulation Conference, 2018-December, 2701–2712. https://doi.org/10.1109/WSC.2018.8632261

Lu, C., Deng, Z., Fang, S.-C., Jin, Q., & Xing, W. (2019). Fast computation of global solutions to the single-period unit commitment problem. Journal of Combinatorial Optimization, 11. https://doi.org/10.1007/s10878-019-00489-9

Independent Assessment of Science and Technology for the Department of Energy's Defense Environmental Cleanup Program. (2019). In INDEPENDENT ASSESSMENT OF SCIENCE AND TECHNOLOGY FOR THE DEPARTMENT OF ENERGY'S DEFENSE ENVIRONMENTAL CLEANUP PROGRAM (pp. 1–106). https://doi.org/10.17226/25338

Kapadia, M. S., Starly, B., Thomas, A., Uzsoy, R., & Warsing, D. (2019). Impact of Scheduling Policies on the Performance of an Additive Manufacturing Production System. Procedia Manufacturing, 39, 447–456. https://doi.org/10.1016/j.promfg.2020.01.388

Mehrabipour, M., Hajibabai, L., & Hajbabaie, A. (2019). A decomposition scheme for parallelization of system optimal dynamic traffic assignment on urban networks with multiple origins and destinations. Computer-Aided Civil and Infrastructure Engineering, 34(10), 915–931. https://doi.org/10.1111/mice.12455

Mirheli, A., Tajalli, M., Hajibabai, L., & Hajbabaie, A. (2019). A consensus-based distributed trajectory control in a signal-free intersection. Transportation Research Part C: Emerging Technologies, 100, 161–176. https://doi.org/10.1016/j.trc.2019.01.004

Hajibabai, L., & Saha, D. (2019). Patrol Route Planning for Incident Response Vehicles under Dispatching Station Scenarios. Computer-Aided Civil and Infrastructure Engineering, 34(1), 58–70. https://doi.org/10.1111/mice.12384

Latif, H., Shao, G., & Starly, B. (2019). Integrating A Dynamic Simulator and Advanced Process Control using the OPC-UA Standard. 47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47), Vol. 34, pp. 813–819. https://doi.org/10.1016/j.promfg.2019.06.200

Sherlekar, R., Starly, B., & Cohen, P. H. (2019). Provisioned Data Distribution for Intelligent Manufacturing via Fog Computing. 47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47), Vol. 34, pp. 893–902. https://doi.org/10.1016/j.promfg.2019.06.158

Nagulpelli, K. S., King, R. E., & Warsing, D. (2019). Integrated traditional and additive manufacturing production profitability model. 47TH SME NORTH AMERICAN MANUFACTURING RESEARCH CONFERENCE (NAMRC 47), Vol. 34, pp. 619–630. https://doi.org/10.1016/j.promfg.2019.06.121

White, M. M., Kaber, D. B., Deng, Y., & Xu, X. (2019). Design Process for an Ergonomic Solution to the Police Duty Belt. ADVANCES IN PHYSICAL ERGONOMICS & HUMAN FACTORS, Vol. 789, pp. 3–15. https://doi.org/10.1007/978-3-319-94484-5_1

Abu-El-Haija, L., Ivy, J. S., Ozaltin, O., & Park, W. (2019). The Effect of the Distribution of the Inverse Growth Rate on Pancreatic Cancer Progression. Proceedings - Winter Simulation Conference, 2019-December, 1044–1054. https://doi.org/10.1109/WSC40007.2019.9004877

Sand?k??, B., & Özalt?n, O. Y. (2019). An embarrassingly parallel method for large-scale stochastic programs. In Springer Optimization and Its Applications (Vol. 149, pp. 127–151). https://doi.org/10.1007/978-3-030-22788-3_5

Swan, B., Ozaltin, O., Hilburn, S., Gignac, E., & McCammon, G. (2019). Evaluating an Emergency Department Care Redesign: A Simulation Approach. Proceedings - Winter Simulation Conference, 2019-December, 1137–1147. https://doi.org/10.1109/WSC40007.2019.9004947

Vasheghani Farahani, I., Chien, A., King, R. E., Kay, M. G., & Klenz, B. (2019). Time series anomaly detection from a markov chain perspective. Proceedings - 18th IEEE International Conference on Machine Learning and Applications, ICMLA 2019, 1000–1007. https://doi.org/10.1109/ICMLA.2019.00170

Agor, J., Ozaltin, O. Y., Ivy, J. S., Capan, M., Arnold, R., & Romero, S. (2019). The value of missing information in severity of illness score development. JOURNAL OF BIOMEDICAL INFORMATICS, 97. https://doi.org/10.1016/j.jbi.2019.103255

Anindito, Y., Haas, J., Olivares, M., Nowak, W., & Kern, J. (2019). A new solution to mitigate hydropeaking? Batteries versus re-regulation reservoirs. JOURNAL OF CLEANER PRODUCTION, 210, 477–489. https://doi.org/10.1016/j.jclepro.2018.11.040

Webster, C. E., Marcellin-Little, D. J., Koballa, E. M., Stallrich, J. W., & Harrysson, O. L. A. (2019). Evaluation of the geometric accuracy of computed tomography and microcomputed tomography of the articular surface of the distal portion of the radius of cats. AMERICAN JOURNAL OF VETERINARY RESEARCH, 80(10), 976–984. https://doi.org/10.2460/ajvr.80.10.976

Uzsoy, R. (2019, May). 2018 Best Paper Award. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, Vol. 32, pp. 139–139. https://doi.org/10.1109/TSM.2019.2910984

ASTRO for Derivative-Based Stochastic Optimization: Algorithm Description & Numerical Experiments. (2019). 2019 Winter Simulation Conference (WSC). https://doi.org/10.1109/wsc40007.2019.9004904

Pearce, B. W., Antani, K., Mears, L., Funk, K., Mayorga, M. E., & Kurz, M. E. (2019). An effective integer program for a general assembly line balancing problem with parallel workers and additional assignment restrictions. Journal of Manufacturing Systems, 50, 180–192. https://doi.org/10.1016/J.JMSY.2018.12.011

Rezaei Arangdad, S., Thoney-Barletta, K., Joines, J., & Rothenberg, L. (2019). Influence of demographics and motivational factors on US consumer clothing and shoes disposal behavior. Research Journal of Textile and Apparel, 23(3), 170–188. https://doi.org/10.1108/rjta-08-2018-0051

Davis, M. M., Nambiar, S., Mayorga, M. E., Sullivan, E., Hicklin, K., Meghan C. O'Leary, … Wheeler, S. B. (2019). Mailed FIT (fecal immunochemical test), navigation or patient reminders? Using microsimulation to inform selection of interventions to increase colorectal cancer screening in Medicaid enrollees. PREVENTIVE MEDICINE, 129. https://doi.org/10.1016/j.ypmed.2019.105836

Lich, K. H., Meghan C. O'Leary, Nambiar, S., Townsley, R. M., Mayorga, M. E., Hicklin, K., … Wheeler, S. B. (2019). Estimating the impact of insurance expansion on colorectal cancer and related costs in North Carolina: A population-level simulation analysis. PREVENTIVE MEDICINE, 129. https://doi.org/10.1016/j.ypmed.2019.105847

Xu, J., Xu, L., Sun, Y., Lee, Y.-S., & Zhao, J. (2019). A Method of Generating Spiral Tool Path for Direct Three-Axis Computer Numerical Control Machining of Measured Cloud of Point. JOURNAL OF COMPUTING AND INFORMATION SCIENCE IN ENGINEERING, 19(4). https://doi.org/10.1115/1.4043532

Fishbein, D., Nambiar, S., McKenzie, K., Mayorga, M., Miller, K., Tran, K., … Capan, M. (2019). [Review of Objective measures of workload in healthcare: a narrative review]. INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE, 33(1), 1–17. https://doi.org/10.1108/IJHCQA-12-2018-0288

Geden, M., Smith, A., Campbell, J., Spain, R., Amos-Binks, A., Mott, B. W., … Lester, J. (2019). Construction and Validation of an Anticipatory Thinking Assessment. FRONTIERS IN PSYCHOLOGY, 10. https://doi.org/10.3389/fpsyg.2019.02749

Mellor, L. F., Nordberg, R. C., Huebner, P., Mohiti-Asli, M., Taylor, M. A., Efird, W., … Loboa, E. G. (2019). Investigation of multiphasic 3D-bioplotted scaffolds for site-specific chondrogenic and osteogenic differentiation of human adipose-derived stem cells for osteochondral tissue engineering applications. JOURNAL OF BIOMEDICAL MATERIALS RESEARCH PART B-APPLIED BIOMATERIALS. https://doi.org/10.1002/jbm.b.34542

White, E., Rinko, E., Prost, T., Horn, T., Ledford, C., Rock, C., & Anderson, I. (2019). Processing of Alnico Magnets by Additive Manufacturing. APPLIED SCIENCES-BASEL, 9(22). https://doi.org/10.3390/app9224843

Shohan, S., Ali, S. M., Kabir, G., Ahmed, S. K. K., Suhi, S. A., & Haque, T. (2019). Green supply chain management in the chemical industry: structural framework of drivers. INTERNATIONAL JOURNAL OF SUSTAINABLE DEVELOPMENT AND WORLD ECOLOGY, 26(8), 752–768. https://doi.org/10.1080/13504509.2019.1674406

Uzsoy, R. (2019, November). Appreciation to the TSM Community. IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING, Vol. 32, pp. 362–362. https://doi.org/10.1109/TSM.2019.2946034

Ho, R. T. H., Markosov, S. H., Sanders, N., & Nam, C. S. (2019). BCI-Based Expressive Arts: Moving Toward Mind-Body Alignment. In Brain Art (pp. 355–373). https://doi.org/10.1007/978-3-030-14323-7_13

Contreras-Vidal, J. L., Robleto, D., Cruz-Garza, J. G., Azorín, J. M., & Nam, C. S. (Eds.). (2019). Mobile Brain-Body Imaging and the Neuroscience of Art, Innovation and Creativity. In Springer Series on Bio- and Neurosystems. https://doi.org/10.1007/978-3-030-24326-5

Swann, J., Griffin, P. M., Keskinocak, P., Bieder, I., Yildirim, F. M., Nurmagambetov, T., … Singleton, C.-M. (2019). Return on investment of self-management education and home visits for children with asthma. JOURNAL OF ASTHMA. https://doi.org/10.1080/02770903.2019.1690660

Ledford, C., Rock, C., Carriere, P., Frigola, P., Gamzina, D., & Horn, T. (2019). Characteristics and Processing of Hydrogen-Treated Copper Powders for EB-PBF Additive Manufacturing. APPLIED SCIENCES-BASEL, 9(19). https://doi.org/10.3390/app9193993

Hicklin, K. T., Ivy, J. S., Wilson, J. R., Cobb Payton, F., Viswanathan, M., & Myers, E. R. (2019). Simulation model of the relationship between cesarean section rates and labor duration. Health Care Management Science, 22(4), 635–657. https://doi.org/10.1007/s10729-018-9449-3

Cao, Y., & Dong, J. (2019). High-performance low-voltage soft electrothermal actuator with directly printed micro-heater. SENSORS AND ACTUATORS A-PHYSICAL, 297. https://doi.org/10.1016/j.sna.2019.111546

Wang, X., Virguez, E., Kern, J., Chen, L., Mei, Y., Patino-Echeverri, D., & Wang, H. (2019). Integrating wind, photovoltaic, and large hydropower during the reservoir refilling period. ENERGY CONVERSION AND MANAGEMENT, 198. https://doi.org/10.1016/j.enconman.2019.111778

Warsing, D. P., Jr., Wangwatcharakul, W., & King, R. E. (2019). Computing base-stock levels for a two-stage supply chain with uncertain supply. Omega, 89, 92–109. https://doi.org/10.1016/j.omega.2018.10.001

Ho, Y.-M., Lin, J.-H., & Chen, K. B. (2019). Examining Relationship between Driver Characteristics and Critical Target Identification Failures. TRANSPORTATION RESEARCH RECORD, 2673(8), 192–197. https://doi.org/10.1177/0361198119842123

Chansoria, P., & Shirwaiker, R. (2019). Characterizing the Process Physics of Ultrasound-Assisted Bioprinting. SCIENTIFIC REPORTS, 9. https://doi.org/10.1038/s41598-019-50449-w

Velasquez, G. A., Mayorga, M. E., & Cruz, E. A. R. (2019). Prepositioning inventory for disasters: a robust and equitable model. OR SPECTRUM, 41(3), 757–785. https://doi.org/10.1007/s00291-019-00554-z

Li, L., Hutmacher, C. M., Jr., & Xu, X. (2019). Video-Based Driver's Hand Tracking using Fast Normalized Cross Coefficient with Improved Computational Efficiency. TRANSPORTATION RESEARCH RECORD, 2673(8), 233–241. https://doi.org/10.1177/0361198119841554

Gopalswamy, K., & Uzsoy, R. (2019). A data-driven iterative refinement approach for estimating clearing functions from simulation models of production systems. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 57(19), 6013–6030. https://doi.org/10.1080/00207543.2018.1557351

Sall, R. J., & Feng, J. (2019). Dual-target hazard perception: Could identifying one hazard hinder a driver's capacity to find a second? ACCIDENT ANALYSIS AND PREVENTION, 131, 213–224. https://doi.org/10.1016/j.aap.2019.06.016

Dayıoğlu, E. G., Karagül, K., Şahin, Y., & Kay, M. G. (2019). Route planning methods for a modular warehouse system. An International Journal of Optimization and Control: Theories & Applications (IJOCTA), 10(1), 17. https://doi.org/10.11121/ijocta.01.2020.00752

Luo, J., Hong, T., & Fang, S.-C. (2019). Robust Regression Models for Load Forecasting. IEEE Transactions on Smart Grid, 10(5), 5397–5404. https://doi.org/10.1109/TSG.2018.2881562

Schwartz, B., McConnell, B. M., & Parlier, G. H. J. S. (2019). How Data Analytics Will Improve Logistics Planning. Army Sustainment, 51(3), 54–57. Retrieved from https://www.army.mil/article/223842/how_data_analytics_will_improve_logistics_planning

Angrish, A., Craver, B., & Starly, B. (2019). “FabSearch”: A 3D CAD Model-Based Search Engine for Sourcing Manufacturing Services. Journal of Computing and Information Science in Engineering, 19(4). https://doi.org/10.1115/1.4043211

Huebner, P., Warren, P. B., Chester, D., Spang, J. T., Brown, A. C., Fisher, M. B., & Shirwaiker, R. (2019). Mechanical properties of tissue formed in vivo are affected by 3D-bioplotted scaffold microarchitecture and correlate with ECM collagen fiber alignment. CONNECTIVE TISSUE RESEARCH. https://doi.org/10.1080/03008207.2019.1624733

Pujol, T. A., Serban, N., Swann, J., & Kottke, M. (2019). Medicaid Claims for Contraception Among Women With Medical Conditions After Release of the US Medical Eligibility Criteria for Contraceptive Use. Preventing Chronic Disease, 16. https://doi.org/10.5888/pcd16.180207

Feng, J., Sanchez, J., Sall, R., Lyons, J. B., & Nam, C. S. (2019). Emotional expressions facilitate human-human trust when using automation in high-risk situations. MILITARY PSYCHOLOGY, 31(4), 292–305. https://doi.org/10.1080/08995605.2019.1630227

Fang, X., Paynabar, K., & Gebraeel, N. (2019). Image-Based Prognostics Using Penalized Tensor Regression. TECHNOMETRICS, 61(3), 369–384. https://doi.org/10.1080/00401706.2018.1527727

Pahwa, D., & Starly, B. (2019). Network-based pricing for 3D printing services in two-sided manufacturing-as-a-service marketplace. Rapid Prototyping Journal, ahead-of-print(ahead-of-print). https://doi.org/10.1108/rpj-01-2019-0018

Ghosh, A., Aggarwal, V., & Wan, H. (2019). Strategic Prosumers: How to Set the Prices in a Tiered Market? IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 15(8), 4469–4480. https://doi.org/10.1109/TII.2018.2889301

Kim, W., Jin, B., Choo, S., Nam, C. S., & Yun, M. H. (2019). Designing of smart chair for monitoring of sitting posture using convolutional neural networks. DATA TECHNOLOGIES AND APPLICATIONS, 53(2), 142–155. https://doi.org/10.1108/DTA-03-2018-0021

Liu, J., Song, J., Xu, Q., Tao, Z., & Chen, H. (2019). Group decision making based on DEA cross-efficiency with intuitionistic fuzzy preference relations. FUZZY OPTIMIZATION AND DECISION MAKING, 18(3), 345–370. https://doi.org/10.1007/s10700-018-9297-0

Kumar, A., Alam, Z., Khan, D. A., & Jha, S. (2019). Nanofinishing of FDM-fabricated components using ball end magnetorheological finishing process. Materials and Manufacturing Processes, 9(2), 1–11. https://doi.org/10.1080/10426914.2018.1512136

Alexopoulos, C., Goldsman, D., Mokashi, A. C., Tien, K.-W., & Wilson, J. R. (2019). Sequest: A Sequential Procedure for Estimating Quantiles in Steady-State Simulations. OPERATIONS RESEARCH, 67(4), 1162–1183. https://doi.org/10.1287/opre.2018:1829

Zahabi, M., White, M. M., Zhang, W., Winslow, A. T., Zhang, F., Huang, H., & Kaber, D. B. (2019). Application of Cognitive Task Performance Modeling for Assessing Usability of Transradial Prostheses. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 49(4), 381–387. https://doi.org/10.1109/THMS.2019.2903188

Qian, X., Fang, S.-C., Huang, M., Nie, T., & Wang, X. (2019). Bidding Decisions with Nonequilibrium Strategic Thinking in Reverse Auctions. Group Decision and Negotiation, 28(4), 757–786. https://doi.org/10.1007/s10726-019-09624-7

Tan, G. Z., Orndorff, P. E., & Shirwaiker, R. A. (2019). The Ion Delivery Manner Influences the Antimicrobial Efficacy of Silver Oligodynamic Iontophoresis. JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 39(4), 622–631. https://doi.org/10.1007/s40846-018-0447-1

McConnell, B. M., Hodgson, T. J., Kay, M. G., King, R. E., Liu, Y., Parlier, G. H., … Wilson, J. R. (2019). Assessing uncertainty and risk in an expeditionary military logistics network. The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology, 7(2), 154851291986059. https://doi.org/10.1177/1548512919860595

Sun, Y. W., Chen, M. S., Jia, J. J., Lee, Y.-S., & Guo, D. M. (2019). Jerk-limited feedrate scheduling and optimization for five-axis machining using new piecewise linear programming approach. SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 62(7), 1067–1081. https://doi.org/10.1007/s11431-018-9404-9

Dai, J., Fang, S.-C., & Xing, W. (2019). Recovering optimal solutions via SOC-SDP relaxation of trust region subproblem with nonintersecting linear constraints. Journal of Industrial & Management Optimization, 15(4), 1677–1699. https://doi.org/10.3934/jimo.2018117

Dong, Y., Xia, T., Fang, X., Zhang, Z., & Xi, L. (2019). Prognostic and health management for adaptive manufacturing systems with online sensors and flexible structures. COMPUTERS & INDUSTRIAL ENGINEERING, 133, 57–68. https://doi.org/10.1016/j.cie.2019.04.051

Hess, B. J., Kolar, P., Classen, J. J., Knappe, D., & Cheng, J. J. (2019). Effects of Co-occurring Species Present in Swine Lagoons on Adsorption of Copper on Eggshell. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH, 13(4), 613–622. https://doi.org/10.1007/s41742-019-00203-x

Zhang, Y., Nam, C. S., Zhou, G., Jin, J., Wang, X., & Cichocki, A. (2019). Temporally Constrained Sparse Group Spatial Patterns for Motor Imagery BCI. IEEE TRANSACTIONS ON CYBERNETICS, 49(9), 3322–3332. https://doi.org/10.1109/TCYB.2018.2841847

Liu, J., Wang, P., Huang, Y., Wu, P., Xu, Q., & Chen, H. (2019). Power load combination forecasting based on triangular fuzzy discrete difference equation forecasting model and PSO-SVR. JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 36(6), 5889–5898. https://doi.org/10.3233/JIFS-181717

Qian, X., Fang, S.-C., Huang, M., & Wang, X. (2019). Winner determination of loss-averse buyers with incomplete information in multiattribute reverse auctions for clean energy device procurement. Energy, 177, 276–292. https://doi.org/10.1016/j.energy.2019.04.072

Kacar, N. B., Moench, L., & Uzsoy, R. (2019, June). A problem reduction approach for production planning using clearing functions. AT-AUTOMATISIERUNGSTECHNIK, Vol. 67, pp. 455–467. https://doi.org/10.1515/auto-2018-0109

Deng, Y., Shirley, J., Rose, T., Geary, L., Feltner, D., Chen, K., … Kaber, D. B. (2019). A usability assessment of riding lawn-mowing equipment with varying levels of design standards compliance. APPLIED ERGONOMICS, 78, 76–85. https://doi.org/10.1016/j.apergo.2019.02.003

Moral-Munoz, J. A., Zhang, W., Cobo, M. J., Herrera-Viedma, E., & Kaber, D. B. (2019, May 22). Smartphone-based systems for physical rehabilitation applications: A systematic review. ASSISTIVE TECHNOLOGY. https://doi.org/10.1080/10400435.2019.1611676

Liu, R., Kuhl, M. E., Liu, Y., & Wilson, J. R. (2019). Modeling and Simulation of Nonstationary Non-Poisson Arrival Processes. INFORMS JOURNAL ON COMPUTING, 31(2), 347–366. https://doi.org/10.1287/ijoc.2018.0828

Agor, J., & Ozaltin, O. Y. (2019). Feature selection for classification models via bilevel optimization. COMPUTERS & OPERATIONS RESEARCH, 106, 156–168. https://doi.org/10.1016/j.cor.2018.05.005

Finn, R. T., Lloyd, B., Patel, Y. A., Allen, J. T., Cornejo, J., Davis, A., … Gellad, Z. F. (2019, June). Decreasing Endoscopy No-Shows Using a Lean Improvement Framework. CLINICAL GASTROENTEROLOGY AND HEPATOLOGY, Vol. 17, pp. 1224-+. https://doi.org/10.1016/j.cgh.2019.02.002

Kim, W. (2019). A comparative study on the statistical modelling for the estimation of stature in Korean adults using hand measurements. ANTHROPOLOGISCHER ANZEIGER, 76(1), 57–67. https://doi.org/10.1127/anthranz/2019/0903

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