Facial Feature Recognition with Multi-task Learning and Attention-based Enhancements by M. Rohani, H. Farsi, S. Mohamadzadeh

“…This paper proposes a novel multi-task learning (MTL) model that leverages the powerful Efficient-Net architecture and incorporates attention-based learning with two key innovations. …”
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Multi-Task Spiking Neural Network for Simultaneous Vapor Recognition and Concentration Estimation by Pedro Sartori Locatelli, Salma Ait Fares, Dalton Martini Colombo, Kamal El-Sankary, Michael S. Freund

“…Neural networks have been instrumental in advancing machine olfaction systems, greatly enhancing their ability to process olfactory information. As the drive to integrate sensing and signal processing on chip continues, recent advancements emphasize the need for simple yet efficient pattern recognition systems. …”
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TFCNet: A Hybrid Architecture for Multi-Task Restoration of Complex Underwater Optical Images by Shengya Zhao, Xiufen Ye, Xinkui Mei, Shuxiang Guo, Haibin Qi

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Multi-task reinforcement learning and explainable AI-Driven platform for personalized planning and clinical decision support in orthodontic-orthognathic treatment by Zhiyuan Li, Liwei Wang

“…Abstract This study presents a novel clinical decision support platform for orthodontic-orthognathic treatment that integrates multi-task reinforcement learning with explainable artificial intelligence. …”
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Intelligence data acquisition based on embedded system in Chinese cuisine cooker (CCICR V1.0) by Jianbao Zhang, Deyi Wang, Shiping Bao, Xin Chang, Yi Liang

“…These sensors facilitate the intelligent collection of data related to dishes, ingredients, and the movements of cookware throughout the cooking process. To ensure efficient data acquisition and storage, CCICR-V1.0 employs a multi-task data buffering storage method that effectively allocates CPU resources. …”
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