Enhancing stable grasping of containers with dynamic center of mass using reinforcement learning by Gao, Yuan

“…This research focuses on advancing robotic grasping capabilities, specifically targeting dynamic containers with varying center of mass and irregular internal shapes. Leveraging computer vision and reinforcement learning techniques, we aimed to optimize the grasping process. …”
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Global optimization: a machine learning approach by Bertsimas, Dimitris, Margaritis, Georgios

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Nature-Centered Materiomics: Experimental and Computational Design by Shen, Sabrina C.

“…Altogether, these contributions enhance multiscale understanding of nature-centered material design and pave the way for future innovations that align human engineering with regenerative material cycles.…”
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Modeling Strategic Interventions to Increase Attendance at Youth Community Centers by Moro-Araujo, Alejandro, Alonso Pastor, Luis, Larson, Kent

“…Such centers are also particularly vital for low-income and racial minority students as they are pivotal in giving them outside-of-school learning opportunities. …”
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Toward human-centered automated driving: a novel spatiotemporal vision transformer-enabled head tracker by Hu, Zhongxu, Zhang, Yiran, Xing, Yang, Zhao, Yifan, Cao, Dongpu, Lv, Chen

“…Accurate dynamic driver head pose tracking is of great importance for driver–automotive collaboration, intelligent copilot, head-up display (HUD), and other human-centered automated driving applications. To further advance this technology, this article proposes a low-cost and markerless headtracking system using a deep learning-based dynamic head pose estimation model. …”
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Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

“…To this end, neural networks with high fitting ability were proposed, which further evolved to deep neural networks as the neural layers become deeper and deeper for better capacity of feature extraction. Using deep learning, data of distinct sensors can be learned jointly for accurate recognition. …”
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Lane-aware image enhancement for lane detection in rain (part A) by Zeng, Lanning

“…At the same time, we may be able to use keypoint maps to test images, such as CornerNet, CenterNet and other algorithms.…”
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METFormer: a motion enhanced transformer for multiple object tracking by Gao, Jianjun, Yap, Kim-Hui, Wang, Yi, Garg, Kratika, Han, Boon Siew

“…The global-local motion context learning technique first centers on difference-guided global motion learning to obtain temporal information from adjacent frames. …”
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Machine learning for bioelectronics on wearable and implantable devices: challenges and potential by Goh, Guo Dong, Lee, Jia Min, Goh, Guo Liang, Huang, Xi, Lee, Samuel, Yeong, Wai Yee

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Individual Welfare Guarantees in the Autobidding World with Machine-learned Advice by Deng, Yuan, Golrezaei, Negin, Jaillet, Patrick, Liang, Jason Cheuk Nam, Mirrokni, Vahab

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Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

“…The growing adoption of autonomous vehicles (AVs) holds the promise of transforming transportation systems, enhancing traffic safety, and supporting environmental sustainability. …”
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Person re-identification via pose-aware multi-semantic learning by Luo, Xiangzhong, Duong, Luan H. K., Liu, Weichen

“…Finally, the center loss is introduced for enhancing the feature discriminability. …”
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Advances in Sparse and Low Rank Matrix Optimization for Machine Learning Applications by Johnson, Nicholas André G.

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Light Water Reactor Loading Pattern Optimization with Reinforcement Learning Algorithms by Seurin, Paul R.M.

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Beyond MELD Score: Association of Machine Learning-derived CT Body Composition with 90-Day Mortality Post Transjugular Intrahepatic Portosystemic Shunt Placement by Elhakim, Tarig, Mansur, Arian, Kondo, Jordan, Omar, Omar M. F., Ahmed, Khalid, Tabari, Azadeh, Brea, Allison, Ndakwah, Gabriel, Iqbal, Shams, Allegretti, Andrew S., Fintelmann, Florian J., Wehrenberg-Klee, Eric, Bridge, Christopher, Daye, Dania

“…Materials and Methods This retrospective multi-center cohort study included patients who underwent TIPS from 1995 to 2018 and had a contrast-enhanced CT abdomen within 9 months prior to TIPS and at least 90 days of post-procedural clinical follow-up. …”
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Multi-view human action recognition in meeting scenarios by Yin, Haixiang

“…In addition, we use SlowFast Network as a backbone network for action recognition and use Torchreid (A library for deep learning person re-identification in PyTorch) for instance association after learning the features of the input from different camera viewpoints. …”
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Feature representation for large scale classification by Yang, Hao

“…Feature representation plays the center role for classification. The extraction of knowledge in data, whether through pre-defined functions or procedures, or through learned projection matrices or neural networks, is crucial for the success of a large scale classification system. …”
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Predicting Team Well-Being through Face Video Analysis with AI by Müller, Moritz, Dupuis, Ambre, Zeulner, Tobias, Vazquez, Ignacio, Hagerer, Johann, Gloor, Peter A.

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Predictive and Prescriptive Trees for Optimization and Control Problems by Kim, Cheol Woo

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Implementation of metacognitive reading strategies to improve English reading ability: a systematic review by Kan, Tang, Noordin, Nooreen, Ismail, Lilliati

“…Proficiency in English reading is crucial for overall language competency, as learning relies heavily on written materials. In recent years, experts and scholars have started to regard learning and employing metacognitive reading strategies as an important method for improving English reading comprehension. …”
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