Zobrazeno 1 - 10
of 2 968
pro vyhledávání: '"Sharma Anuj"'
Autor:
Dey Aniruna, Sharma Anuj
Publikováno v:
Journal of Medical Sciences and Health, Vol 6, Iss 1, Pp 5-11 (2020)
Introduction: Lung carcinomas are one of the most common malignancies and major cause of cancer-related deaths worldwide. India also shares a great burden of this disease. Computed topography (CT)-guided fine-needle aspiration cytology of lung masses
Externí odkaz:
https://doaj.org/article/36aabcb85dda47acb00cd14ec4ed2536
The graph neural networks has been proved to be an efficient machine learning technique in real life applications. The handwritten recognition is one of the useful area in real life use where both offline and online handwriting recognition are requir
Externí odkaz:
http://arxiv.org/abs/2405.09247
The Handwritten Text Recognition problem has been a challenge for researchers for the last few decades, especially in the domain of computer vision, a subdomain of pattern recognition. Variability of texts amongst writers, cursiveness, and different
Externí odkaz:
http://arxiv.org/abs/2404.14062
In this study, we introduce DeepLocalization, an innovative framework devised for the real-time localization of actions tailored explicitly for monitoring driver behavior. Utilizing the power of advanced deep learning methodologies, our objective is
Externí odkaz:
http://arxiv.org/abs/2404.12258
Autor:
Wang, Shuo, Anastasiu, David C., Tang, Zheng, Chang, Ming-Ching, Yao, Yue, Zheng, Liang, Rahman, Mohammed Shaiqur, Arya, Meenakshi S., Sharma, Anuj, Chakraborty, Pranamesh, Prajapati, Sanjita, Kong, Quan, Kobori, Norimasa, Gochoo, Munkhjargal, Otgonbold, Munkh-Erdene, Alnajjar, Fady, Batnasan, Ganzorig, Chen, Ping-Yang, Hsieh, Jun-Wei, Wu, Xunlei, Pusegaonkar, Sameer Satish, Wang, Yizhou, Biswas, Sujit, Chellappa, Rama
The eighth AI City Challenge highlighted the convergence of computer vision and artificial intelligence in areas like retail, warehouse settings, and Intelligent Traffic Systems (ITS), presenting significant research opportunities. The 2024 edition f
Externí odkaz:
http://arxiv.org/abs/2404.09432
Deep learning expresses a category of machine learning algorithms that have the capability to combine raw inputs into intermediate features layers. These deep learning algorithms have demonstrated great results in different fields. Deep learning has
Externí odkaz:
http://arxiv.org/abs/2404.08011
This study aims to compare the effectiveness of a robust ensemble model with the state-of-the-art ONE-PEACE Large Language Model (LLM) for accurate detection of sidewalks. Accurate sidewalk detection is crucial in improving road safety and urban plan
Externí odkaz:
http://arxiv.org/abs/2405.14876
Graph Neural Networks (GNN) have emerged as a popular and standard approach for learning from graph-structured data. The literature on GNN highlights the potential of this evolving research area and its widespread adoption in real-life applications.
Externí odkaz:
http://arxiv.org/abs/2403.15077
Autor:
Gunn, James, Lenyk, Zygmunt, Sharma, Anuj, Donati, Andrea, Buburuzan, Alexandru, Redford, John, Mueller, Romain
Combining complementary sensor modalities is crucial to providing robust perception for safety-critical robotics applications such as autonomous driving (AD). Recent state-of-the-art camera-lidar fusion methods for AD rely on monocular depth estimati
Externí odkaz:
http://arxiv.org/abs/2312.14919
Animals adjust their behavioral response to sensory input adaptively depending on past experiences. The flexible brain computation is crucial for survival and is of great interest in neuroscience. The nematode C. elegans modulates its navigation beha
Externí odkaz:
http://arxiv.org/abs/2311.07117