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   https://doi.org/10.5220/0010369804820488  

   Ahmadnia, Benyamin; Aranovich, Raul (January 2021, Proceedings of the 13th International Conference on Agents and Artificial Intelligence (ICAART 2021))

   null (Ed.)

   Neural Machine Translation (NMT) performs training of a neural network employing an encoder-decoder architecture. However, the quality of the neural-based translations predominantly depends on the availability of a large amount of bilingual training dataset. In this paper, we explore the performance of translations predicted by attention-based NMT systems for Spanish to Persian low-resource language pairs. We analyze the errors of NMT systems that occur in the Persian language and provide an in-depth comparison of the performance of the system based on variations in sentence length and size of the training dataset. We evaluate our translation results using BLEU and human evaluation measures based on the adequacy, fluency, and overall rating. 

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4. Gaze-Augmented Drone Navigation

   https://doi.org/10.1145/3582700.3583702  

   Pineda, Kayla; Mahanama, Bhanuka; Ashok, Vikas; Jayarathna, Sampath (March 2023, Proceedings of the Augmented Humans International Conference 2023)

   The use of unmanned aerial vehicles (UAVs) or drones, has significantly increased over the past few years. There is a growing demand in the drone industry, creating new workforce opportunities such as package delivery, search and rescue, real estate, transportation, agriculture, infrastructure inspection, and many others, signifying the importance of effective and efficient control techniques. We propose a scheme for controlling a drone through gaze extracted from eye-trackers, enabling an operator to navigate through a series of waypoints. Then we demonstrate and test the utility of our approach through a pilot study against traditional controls. Our results indicate gaze as a promising control technique for navigating drones revealing novel research avenues. 

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5. Tactile-Augmented Radiance Fields

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   Dou, Yiming; Yang, Fengyu; Liu, Yi; Loquercio, Antonio; Owens, Andrew (June 2024, IEEE)