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2025	2025 40th Youth Academic Annual Conference of Chinese Association of Automation (YAC) Xiaoping Jiang, Xuan Wei, RuQin Lei
2025	Enhancing Underwater Acoustic Target Recognition Through Advanced Feature Fusion and Deep Learning Journal of Marine Science and Engineering Yanghong Zhao, Guohao Xie, Haoyu Chen, Mingsong Chen, Li Huang
2025	Leveraging Prior Knowledge in Semi-Supervised Learning for Precise Target Recognition Remote Sensing Guohao Xie, Zhe Chen, Yaan Li, Mingsong Chen, Feng Chen, Yuxin Zhang, Hongyan Jiang, Hongbing Qiu
2025	Honeybee colony soundscapes: Decoding distance-based cues and environmental stressors Ecotoxicology and Environmental Safety Nayan Di, Chunjing Zhu, Zongwen Hu, Muhammad Zahid Sharif, Baizhong Yu, Fanglin Liu
2025	UrBAN: Urban Beehive Acoustics and PheNotyping Dataset Scientific Data Mahsa Abdollahi, Yi Zhu, Heitor R. Guimarães, Nico Coallier, Ségolène Maucourt, Pierre Giovenazzo, Tiago H. Falk
2025	Leveraging Machine Learning Approaches to Decode Hive Sounds for Stress Prediction IEEE Access Saba Mustafa, Mahsa Mohaghegh, Iman Ardekani, Abdolhossein Sarrafzadeh
2025	Automatic pain classification in older patients with hip fracture based on multimodal information fusion Scientific Reports Shuang Yang, Wen Luo, Tao Yang, Xiaoying Chen, Siyi Shen, Lei Wang, Huiwen Zhao, Jun Liu, Liping Huang
2025	A citizen science platform to sample beehive sounds for monitoring ANSP Journal of Environmental Management Baizhong Yu, Xinqiu Huang, Muhammad Zahid Sharif, Nayan Di, Fanglin Liu
2025	Non-Destructive Prediction of Maturity from the Sound of Hand Hitting a Watermelon Using Machine Learning Türk Doğa ve Fen Dergisi Savaş Koç, Ferit Akbalik
2024	The Sound of Surveillance: Enhancing Machine Learning-Driven Drone Detection with Advanced Acoustic Augmentation Drones Sebastian Kümmritz
2024	Non-Intrusive System for Honeybee Recognition Based on Audio Signals and Maximum Likelihood Classification by Autoencoder Sensors Urszula Libal, Pawel Biernacki
2024	Bee Together: Joining Bee Audio Datasets for Hive Extrapolation in AI-Based Monitoring Sensors Augustin Bricout, Philippe Leleux, Pascal Acco, Christophe Escriba, Jean-Yves Fourniols, Georges Soto-Romero, Rémi Floquet
2024	Proceedings of the 2024 Australasian Computer Science Week Richard Sinnott
2024	Cepstral and Deep Features for Apis mellifera Hive Strength Classification Journal of Internet Services and Applications Jederson S. Luz, Myllena C. De Oliveira, Fábia de M. Pereira, Flávio H. D. De Araújo, Deborah M. V. Magalhães
2024	2024 4th International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME) Telma Garção, Joana Sousa, Luis André, João Ferreira
2024	Mel-frequency cepstral coefficients outperform embeddings from pre-trained convolutional neural networks under noisy conditions for discrimination tasks of individual gibbons Ecological Informatics Mohamed Walid Lakdari, Abdul Hamid Ahmad, Sarab Sethi, Gabriel A. Bohn, Dena J. Clink
2024	Lecture Notes in Mechanical Engineering Alejandra Avila, César Pinzón
2024	2024 International Conference on Smart Computing, IoT and Machine Learning (SIML) Theresia Herlina Rochadiani, Yulyani Arifin, Derwin Suhartono, Widodo Budiharto
2024	Advances in Computational Intelligence and Robotics Mandar Pramod Diwakar, Brijendra Parasnath Gupta
2024	Buzzing with Intelligence: Current Issues in Apiculture and the Role of Artificial Intelligence (AI) to Tackle It Insects Putri Kusuma Astuti, Bettina Hegedűs, Andrzej Oleksa, Zoltán Bagi, Szilvia Kusza
2023	Fault Diagnosis of Mine Hoist Based on MFCC-SVDD Highlights in Science, Engineering and Technology Xiao Wang, JingZhao Li
2023	A deep learning-based approach for bee sound identification Ecological Informatics Thu Huong Truong, Huu Du Nguyen, Thi Quynh Anh Mai, Hoang Long Nguyen, Tran Nhat Minh Dang, Thi-Thu-Hong Phan
2023	Honeybee (Apis spp.) (Hymenoptera: Apidae) Colony Monitoring Using Acoustic Signals from the Beehive: An Assessment by Global Experts and Our Feedback Agriculture Muhammad Zahid Sharif, Nayan Di, Baizhong Yu
2023	MGFGNet: an automatic underwater acoustic target recognition method based on the multi-gradient flow global feature enhancement network Frontiers in Marine Science Zhe Chen, Jianxun Tang, Hongbin Qiu, Mingsong Chen
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