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pro vyhledávání: '"Singh, A."'
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Physically active learning (PAL) has emerged as a promising way of eliciting health and education-based outcomes for pupils. Concurrently, research suggests large variability in how PAL is perceived, operationalized, and prioritized in pract
Physically active learning (PAL) has emerged as a promising way of eliciting health and education-based outcomes for pupils. Concurrently, research suggests large variability in how PAL is perceived, operationalized, and prioritized in pract
Externí odkaz:
http://hdl.handle.net/10454/19568
Autor:
Muszynski, Michal, Klein, Levente, da Silva, Ademir Ferreira, Atluri, Anjani Prasad, Gomes, Carlos, Szwarcman, Daniela, Singh, Gurkanwar, Gu, Kewen, Zortea, Maciel, Simumba, Naomi, Fraccaro, Paolo, Singh, Shraddha, Meliksetian, Steve, Watson, Campbell, Kimura, Daiki, Srinivasan, Harini
Global vegetation structure mapping is critical for understanding the global carbon cycle and maximizing the efficacy of nature-based carbon sequestration initiatives. Moreover, vegetation structure mapping can help reduce the impacts of climate chan
Externí odkaz:
http://arxiv.org/abs/2406.19888
Autor:
Dubey, Gaurav, Mehra, Brijesh Singh, Kumar, Sanjeev, Shyam, Ayyappan, Sharma, Karan Datt, Vagadia, Megha, Rana, Dhanvir Singh
The complexity of interactions between the crystal-field and unusual non-collinear spin arrangement in non-trivial magnets demands novel tools to unravel the mystery underneath. In this work, we study such interaction dynamics of crystal-field-excita
Externí odkaz:
http://arxiv.org/abs/2406.19784
Intellectual Property (IP) piracy, overbuilding, reverse engineering, and hardware Trojan are serious security concerns during integrated circuit (IC) development. Logic locking has proven to be a solid defence for mitigating these threats. The exist
Externí odkaz:
http://arxiv.org/abs/2406.19091
Autor:
Singh, Nishesh, Ramesh, Sidharth, Shankar, Abhishek, Duttagupta, Jyotishka, D'Souza, Leander Stephen, Singh, Sanjay
Planetary exploration requires traversal in environments with rugged terrains. In addition, Mars rovers and other planetary exploration robots often carry sensitive scientific experiments and components onboard, which must be protected from mechanica
Externí odkaz:
http://arxiv.org/abs/2406.18899
Autor:
Yang, Chih-Hsuan, Feuer, Benjamin, Jubery, Zaki, Deng, Zi K., Nakkab, Andre, Hasan, Md Zahid, Chiranjeevi, Shivani, Marshall, Kelly, Baishnab, Nirmal, Singh, Asheesh K, Singh, Arti, Sarkar, Soumik, Merchant, Nirav, Hegde, Chinmay, Ganapathysubramanian, Baskar
We introduce Arboretum, the largest publicly accessible dataset designed to advance AI for biodiversity applications. This dataset, curated from the iNaturalist community science platform and vetted by domain experts to ensure accuracy, includes 134.
Externí odkaz:
http://arxiv.org/abs/2406.17720
Long gamma-ray bursts (GRBs) offer significant insights into cosmology due to their high energy emissions and the potential to probe the early universe. The Amati relation, which links the intrinsic peak energy to the isotropic energy, is crucial for
Externí odkaz:
http://arxiv.org/abs/2406.15993
This study presents significant enhancements in human pose estimation using the MediaPipe framework. The research focuses on improving accuracy, computational efficiency, and real-time processing capabilities by comprehensively optimising the underly
Externí odkaz:
http://arxiv.org/abs/2406.15649
This study presents a novel driver drowsiness detection system that combines deep learning techniques with the OpenCV framework. The system utilises facial landmarks extracted from the driver's face as input to Convolutional Neural Networks trained t
Externí odkaz:
http://arxiv.org/abs/2406.15646
Artificial Intelligence (AI) algorithms, trained on emotion data extracted from physiological signals, provide a promising approach to monitoring emotions, affect, and mental well-being. However, the field encounters challenges because there is a lac
Externí odkaz:
http://arxiv.org/abs/2406.14908