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Modelling of African Vulture Optimization Algorithm with Deep Learning-based Object Classification for Intelligent Manufacturing Systems


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Zhou, X., Xu, X., Liang, W., Zeng, Z., Shimizu, S., Yang, L.T., & Jin, Q. (2021). Intelligent small object detection for digital twin in smart manufacturing with industrial cyber-physical systems. IEEE Transactions on Industrial Informatics, 18(2), 1377-1386. Search in Google Scholar

Blömeke, S., Rickert, J., Mennenga, M., Thiede, S., Spengler, T.S., & Herrmann, C. (2020). Recycling 4.0–Mapping smart manufacturing solutions to remanufacturing and recycling operations. Procedia CIRP, 90, 600-605. Search in Google Scholar

Shaikh, A., Shinde, S., Rondhe, M., & Chinchanikar, S. (2022). Machine Learning Techniques for Smart Manufacturing: A Comprehensive Review. Industry 4.0 and Advanced Manufacturing: Proceedings of I-4 AM 2022, 127-137. Search in Google Scholar

Andhy Panca Saputra, K. (2021). Waste Object Detection and Classification using Deep Learning Algorithms: YOLOv4 and YOLOv4-tiny. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(14), 1666-1677. Search in Google Scholar

Verma, V., Gupta, D., Gupta, S., Uppal, M., Anand, D., Ortega-Mansilla, A., Alharithi, F.S., Almotiri, J., & Goyal, N. (2022). A deep learning-based intelligent garbage detection system using an unmanned aerial vehicle. Symmetry, 14(5), 960. Search in Google Scholar

Rahman, M.W., Islam, R., Hasan, A., Bithi, N.I., Hasan, M.M., & Rahman, M.M. (2022). Intelligent waste management system using deep learning with IoT. Journal of King Saud University-Computer and Information Sciences, 34(5), 2072-2087. Search in Google Scholar

Nguyen, X.C., Nguyen, T.T.H., La, D.D., Kumar, G., Rene, E.R., Nguyen, D.D., Chang, S.W., Chung, W.J., Nguyen, X.H., & Nguyen, V.K. (2021). Development of machine learning-based models to forecast solid waste generation in residential areas: A case study from Vietnam. Resources, Conservation and Recycling, 167, 105381. Search in Google Scholar

Sannigrahi, S., Basu, B., Basu, A.S., & Pilla, F. (2022). Development of automated marine floating plastic detection system using Sentinel-2 imagery and machine learning models. Marine Pollution Bulletin, 178, 113527. Search in Google Scholar

Yan, B., Liang, R., Li, B., Tao, J., Chen, G., Cheng, Z., Zhu, Z., & Li, X. (2021). Fast identification and characterization of residual wastes via laser-induced breakdown spectroscopy and machine learning. Resources, Conservation and Recycling, 174, 105851. Search in Google Scholar

Zhang, Q., Yang, Q., Zhang, X., Bao, Q., Su, J., & Liu, X. (2021). Waste image classification based on transfer learning and convolutional neural network. Waste Management, 135, 150-157. Search in Google Scholar

Alsubaei, F.S., Al-Wesabi, F.N., & Hilal, A.M. (2022). Deep learning-based small object detection and classification model for garbage waste management in smart cities and iot environment. Applied Sciences, 12(5), 2281. Search in Google Scholar

Wang, C., Qin, J., Qu, C., Ran, X., Liu, C., & Chen, B. (2021). A smart municipal waste management system based on deep-learning and Internet of Things. Waste Management, 135, 20-29. Search in Google Scholar

Malik, M., Sharma, S., Uddin, M., Chen, C.L., Wu, C.M., Soni, P., & Chaudhary, S. (2022). Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models. Sustainability, 14(12), 7222. Search in Google Scholar

Agbehadji, I.E., Abayomi, A., Bui, K.H.N., Millham, R.C., & Freeman, E. (2022). Nature-Inspired Search Method and Custom Waste Object Detection and Classification Model for Smart Waste Bin. Sensors, 22(16), 6176. Search in Google Scholar

Khan, R., Kumar, S., Srivastava, A.K., Dhingra, N., Gupta, M., Bhati, N., & Kumari, P. (2021). Machine learning and IoT-based waste management model. Computational Intelligence and Neuroscience, 2021. Search in Google Scholar

Abu-Qdais, H., Shatnawi, N., & Esra’a, A.A. (2023). Intelligent solid waste classification system using a combination of image processing and machine learning models. Search in Google Scholar

Cheng, Y., Ekici, E., Yildiz, G., Yang, Y., Coward, B., & Wang, J. (2023). Applied machine learning for the prediction of waste plastic pyrolysis towards valuable fuel and chemicals production. Journal of Analytical and Applied Pyrolysis, 105857. Search in Google Scholar

Li, Y., Dua, A., & Ren, F. (2020). Lightweight retinanet for object detection on edge devices. In IEEE 6th World Forum on Internet of Things (WF-IoT), New Orleans, LA, USA, pp. 1–6. Search in Google Scholar

Al-Dhaifallah, M. (2023). Analytical solutions using special trans functions theory for current–voltage expressions of perovskite solar cells and their approximate equivalent circuits. Ain Shams Engineering Journal, 102225. Search in Google Scholar

Zheng, H., Lin, F., Feng, X., & Chen, Y. (2020). A hybrid deep learning model with attention-based conv-LSTM networks for short-term input data prediction. IEEE. Search in Google Scholar