Intellectual Properties
[5]. Tao, Y., Wang, C. Y., Hevaganinge, A., Wang, D., & Ali, M. A. (2023). U.S. Patent Application No. 17/860,412.
[4]. Tao, Y., Wang, D., Ali, M., ‘Machine Vision Guided Robotic Loading and Processing on Manufacturing Lines’. US Patent App. 63/262327
[3]. Tao, Y., Hevaganinge, H., Wang, C., Wang, D., Ali, M., ‘Deep Learning Assisted Hyperspectral Imaging for pH Sensing in Bioreactor Fluids’. US Patent App. 63/219816
[2]. Tao, Y., Wang, D., Vinson, R., Cheng, X., Holmes, M., & Seibel, G. E. “Automated vision guided intelligent fruits and vegetables processing system and method” U.S. Patent No. 11,531,317, issued Dec 20, 2022
[1]. Tao, Y., Vinson, R., Wang, D., Holmes, M., & Seibel, G. “Automated crab meat picking system and method.” U.S. Patent 11,337,432, issued May 24, 2022.
Refereed Publications
(*equal contribution, #corresponding author)
2024
[44]. Tagoe, A., Silva, A., Koparan, C., Poncet, A., Wang, D., Johnson, D., & Worthington, M. (2024). Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing. AgriEngineering, 6(4), 4549-4569. [link]
[43]. Pallerla, C., Feng, Y., Owens, C. M., Bist, R. B., Mahmoudi, S., Sohrabipour, P., … & Wang, D.# (2024). Neural network architecture search enabled wide-deep learning (NAS-WD) for spatially heterogenous property awared chicken woody breast classification and hardness regression. Artificial Intelligence in Agriculture. [link]
[42]. Mahmoudi, S., Davar, A., Sohrabipour, P., Bist, R. B., Tao, Y., & Wang, D.# Leveraging Imitation Learning in Agricultural Robotics: A Comprehensive Survey and Comparative Analysis. Frontiers in Robotics and AI, 11, 1441312. [link]
[41]. Bist, R. B., Bist, K., Poudel, S., Subedi, D., Yang, X., Paneru, B., … Wang, D., & Chai, L. (2024). Sustainable poultry farming practices: a critical review of current strategies and future prospects. Poultry Science, 104295. [link]
[40]. Li, Z.*, Wang, D.*, Zhu, T., Tao, Y., & Ni, C. (2024). Review of deep learning-based methods for non-destructive evaluation of agricultural products. Biosystems Engineering, 245, 56-83. [link]
[39]. Wang, D.#, Sethu, S., Nathan, S., Li, Z., Hogan, V. J., Ni, C., … & Seo, H. S. (2024). Is human perception reliable? Toward illumination robust food freshness prediction from food appearance—Taking lettuce freshness evaluation as an example. Journal of Food Engineering, 112179. [link]
[38]. Zhou, C., Li, Z., Wang, D., Xue, S., Zhu, T., & Ni, C. (2024). SSNet: Exploiting Spatial Information for Tobacco Stem Impurity Detection with Hyperspectral Imaging. IEEE Access. [link]
[37]. Hao, L., Cao, P., Li, C., & Wang, D. (2024). The CESAE multiple objection optimization network of the ACO-OFDM VLC system. Optics Communications, 558, 130365. [link]
[36]. Agyemang, P., Kwofie, E. M., Baum, J. I., & Wang, D. (2024). The design and development of a dashboard for improving sustainable healthy food choices. Science of The Total Environment, 172726. [link]
[35]. Wang, C. Y., Sadrieh, F. K., Shen, Y. T., Chen, S. E., Kim, S., Chen, V., … Wang, D., Saeedi O. & Tao, Y. (2024). MEMO: dataset and methods for robust multimodal retinal image registration with large or small vessel density differences. Biomedical Optics Express, 15(5), 3457-3479. [link]
[34]. Ali, M. A., Wang, D., & Tao, Y. (2024). Active Dual Line-Laser Scanning for Depth Imaging of Piled Agricultural Commodities for Itemized Processing Lines. Sensors, 24(8), 2385. [link]
[33]. Wang, Y., Liu, Y., Zhao, Y., Sun, Y., Wang, H., Wang, D., … & Jia, F. (2024). A systematic investigation of direct and indirect-cold atmospheric plasma treatment on Bacillus cereus and the application in black pepper. Innovative Food Science & Emerging Technologies, 92, 103583. [link]
[32]. Peng, H., Luo, Y., Teng, Z., Zhou, B., Pearlstein, D., Wang, D., … & Simko, I. (2024). Genome-wide association mapping reveals loci for enzymatic discoloration on cut lettuce. Postharvest Biology and Technology, 207, 112577. [link]
[31]. Crandall, P. G., O’Bryan, C. A., Wang, D., Gibson, K. E., & Obe, T. (2024). Environmental monitoring in food manufacturing: Current perspectives and emerging frontiers. Food Control, 110269. [link]
2023
[30]. Zhan, Y., Zhu, J., Schrader, L. C., & Wang, D. (2023). Modeling and optimization of bioenergy production from co-digestion of poultry litter with wheat straw in anaerobic sequencing batch reactor: Response surface methodology and artificial neural network. Applied Energy, 345, 121373. [link]
[29]. Xiang, L., & Wang, D.# (2023). A Review of Three-dimensional Vision Techniques in Food and Agriculture Applications. Smart Agricultural Technology, 100259. [link]
[28]. Sethu, S., Nathan, S., Wang, D., Jayanthi, D., Seo, H., & Hogan, V. J. (2023, April). Sensory predictive analysis of freshness of food products under different lighting conditions. In 2023 International Conference on Networking and Communications (ICNWC) (pp. 1-5). IEEE. [link]
[27]. Li, Z., Wang, D.*, Zhu, T., Ni, C., & Zhou, C. (2023). SCNet: A deep learning network framework for analyzing near-infrared spectroscopy using short-cut. Infrared Physics & Technology, 104731. [link]
[26]. Allotey, D. K., Miezah Kwofie, E., & Wang, D. (2023). Sustainability Implications of Adopting Industry 4.0 at Different Scales in the Poultry Processing Industry. In Sustainable Manufacturing in Industry 4.0 (pp. 143-156). Springer, Singapore. [link]
[25]. Li, J.*, Wang, D.*, Pottenburgh, J., Bower, A. J., Asanad, S., Lai, W. C., … & Saeedi, O. J. (2022). Visualization of erythrocyte stasis in the living human eye in health and disease. iScience, 105755. [link]
2022
[24]. Yeboah, W. O., Kwofie, E. M., & Wang, D. (2022). Circular bioeconomy potential of rice husk as a bioplastic resource: Techno-environmental assessment. Bioresource Technology Reports, 20, 101248.
[23]. Sethu, S., & Wang, D. (2022). A novel illumination condition varied image dataset-Food Vision Dataset (FVD) for fair and reliable consumer acceptability predictions from food. arXiv preprint arXiv:2209.06967. Submitted to Journal of Food Quality.
[22]. Sethu, S., Jayanthi D. & Wang, D. (2022). A Comprehensive Review of Deep Learning based Illumination Estimation. Submitted to Frontiers in Artifical Intelligence
[21]. Pallerla C., Xiang L. & Wang, D. (2022) Non-invasive Machine Vision Methods For Fish and Meat Quality Assessment. Image Processing Applications (Book Chapter in press)
2021
[20]. Wang, C.*, Hevaganinge, A.*, Wang, D.*, Ali, M., Cattaneo, M., and Tao, Y. (2021). “Prediction of Aqueous Glucose Concentration Using Hyperspectral Imaging”. In 2021 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 3237-3240). IEEE. [link]
[19]. Le, C., Wang, D., Villanueva R., Liu Z., Hammer D., Tao Y., and Saeedi, O. (2021). “Novel Application of Long Short-Term Memory Network for 3D to 2D Retinal Vessel Segmentation in Adaptive Optics—Optical Coherence Tomography Volumes” Applied Sciences 11, no. 20: 9475. [link]
[18]. Chen, Z., Tsytsarev, V., Finfrock, Y.Z., Antipova, O.A., Cai, Z., Arakawa, H., Lischka, F.W., Hooks, B.M., Wilton, R., Wang, D., Liu, Y., and et.al., (2021). Wireless Optogenetic Modulation of Cortical Neurons Enabled by Radioluminescent Nanoparticles. ACS nano, 15(3), pp.5201-5208. [link]
[17]. Hao, L., Li, C. , & Wang, D. (2021). Quantitative analysis of the stacked autoencoder method in MIMO-ACO-OFDM VLC systems. Lighting Research & Technology, 53(1), 54-73. [link]
2020
[16]. Wang, D., Haytham, A., Pottenburgh, J., Saeedi, O., & Tao, Y. (2020). Hard attention net for automatic retinal vessel segmentation. IEEE Journal of Biomedical and Health Informatics (JBHI), 24(12), 3384-3396. [link]
[15]. Tao, Y., Wang, D. (2020) Deep learning applications in Food. International Union of Food Science and Technology (IUFoST) Scientific Information Bulletin (invited) [link]
[14]. Ni, C., Li, Z., … & Wang, D.# (2020). Online Sorting of the Film on Cotton Based on Deep Learning and Hyperspectral Imaging. IEEE Access, 8, 93028-93038. [link]
[13]. Shi, J., Li, Z., Zhu, T., Wang, D.#, & Ni, C. (2020). Defect detection of industry wood veneer based on NAS and multi-channel mask R-CNN. Sensors, 20(16), 4398. [link]
2019
[12]. Wang, D., Haytham, A., … & Saeedi, O. (2019). Automated retinal microvascular velocimetry based on erythrocyte mediated angiography. Biomedical optics express, 10(7), 3681-3697. [link]
[11]. Wang, D., Vinson, R., … & Tao, Y. (2019). Early Detection of Tomato Spotted Wilt Virus by Hyperspectral Imaging and Outlier Removal Auxiliary Classifier Generative Adversarial Nets (OR-AC-GAN). Scientific Reports, 9(1), 4377. [link]
[10]. Ni, C.*, Wang, D.*,#, & Tao, Y. (2019). Variable weighted convolutional neural network for the nitrogen content quantization of Masson pine seedling leaves with near-infrared spectroscopy. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 209, 32-39. [link]
[9]. Ni, C.*, Wang, D.*, … & Tao, Y. (2019). Automatic inspection machine for maize kernels based on deep convolutional neural networks. Biosystems Engineering, 178, 131-144. [link]
[8]. Hao, L.*, Wang, D.*, et.al. (2019). Performance enhancement of ACO-OFDM-based VLC systems using a hybrid autoencoder scheme. Optics Communications, 442, 110-116. [link]
[7]. Hao, L.*, Wang, D.*, et.al. (2019). The Extended SLM Combined Autoencoder of the PAPR Reduction Scheme in DCO-OFDM Systems. Applied Sciences, 9(5), 852. [link]
2018
[6]. Wang, D., Vinson, R., … & Tao, Y. (2018). Convolutional neural network guided blue crab knuckle detection for autonomous crab meat picking machine. Optical Engineering, 57(4), 043103. [link]
[5]. Ni, C., Zhang, Y., & Wang, D. (2018). Moisture content quantization of Masson pine seedling leaf based on stacked autoencoder with near-infrared spectroscopy. Journal of Electrical and Computer Engineering, 2018, 8696202. [link]
Before 2018
[4]. Chen, L., & Wang, D. (2015). An improved acquaintance immunization strategy for complex network. Journal of Theoretical Biology, 385, 58-65. [link]
[3]. Wang, M., Chen, L., Li, Q., Wang, D., Liu, Y., Zhang, Y., … & Shang, H. (2015). An adaptive computer-aided tongue diagnosis method using colour-calibration preprocessing and multiple feature synthesis based on Android platform. International Journal of Wireless and Mobile Computing, 9(3), 240-249. [link]
[2]. Chen, L., Wang, D., et.al., (2015). A novel automatic tongue image segmentation algorithm: Color enhancement method based on L* a* b* color space. In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on (pp. 990-993). IEEE [link]
[1]. Wang, M., Wang, M., Wang, D., et.al., (2015). The syndromes of lung cancer and compatibility of medicine in Traditional Chinese Medicine science treatment based on Clustering Algorithm. In Bioinformatics and Biomedicine (BIBM), 2015 IEEE International Conference on (pp. 1070-1077). IEEE. [link]