Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Anchit, Bijalwan"'
Autor:
Prabhnoor Bachhal, Vinay Kukreja, Sachin Ahuja, Umesh Kumar Lilhore, Sarita Simaiya, Anchit Bijalwan, Roobaea Alroobaea, Sultan Algarni
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-20 (2024)
Abstract The difficulty of collecting maize leaf lesion characteristics in an environment that undergoes frequent changes, suffers varying illumination from lighting sources, and is influenced by a variety of other factors makes detecting diseases in
Externí odkaz:
https://doaj.org/article/1d7aa5696d73481693e6bf725ab0d8d8
Autor:
Asif Iqbal Kawoosa, Deepak Prashar, G R Anantha Raman, Anchit Bijalwan, Mohd Anul Haq, Mohammed Aleisa, Abdullah Alenizi
Publikováno v:
Energy Exploration & Exploitation, Vol 42 (2024)
Electricity theft detection (ETD) techniques employed to identify fraudulent consumers often fail to accurately pinpoint electricity thieves in real time. The patterns associated with electricity use are leveraged to identify anomalies indicative of
Externí odkaz:
https://doaj.org/article/6b5c30f8ad3940cfb9f4c3fbbc8f11e6
Autor:
Umesh Kumar Lilhore, Sarita Simaiya, Yogesh Kumar Sharma, Kuldeep Singh Kaswan, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Anupam Baliyan, Anchit Bijalwan, Roobaea Alroobaea
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-24 (2024)
Abstract Skin cancer is a frequently occurring and possibly deadly disease that necessitates prompt and precise diagnosis in order to ensure efficacious treatment. This paper introduces an innovative approach for accurately identifying skin cancer by
Externí odkaz:
https://doaj.org/article/0b6d863c1ce5496890955c8df691efa9
Autor:
Sunil Kumar, Harish Kumar, Gyanendra Kumar, Shailendra Pratap Singh, Anchit Bijalwan, Manoj Diwakar
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-42 (2024)
Abstract Background Lung diseases, both infectious and non-infectious, are the most prevalent cause of mortality overall in the world. Medical research has identified pneumonia, lung cancer, and Corona Virus Disease 2019 (COVID-19) as prominent lung
Externí odkaz:
https://doaj.org/article/d2f67111a77f494dadfbc3f279aa19bf
Autor:
Sarita Simaiya, Umesh Kumar Lilhore, Yogesh Kumar Sharma, K. B. V. Brahma Rao, V. V. R. Maheswara Rao, Anupam Baliyan, Anchit Bijalwan, Roobaea Alroobaea
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Virtual machine (VM) integration methods have effectively proven an optimized load balancing in cloud data centers. The main challenge with VM integration methods is the trade-off among cost effectiveness, quality of service, performance, op
Externí odkaz:
https://doaj.org/article/f10eeb74a93f41dca525a196341210bf
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Externí odkaz:
https://doaj.org/article/dab1df7d3bcf40b38a524b20d79ba14e
Publikováno v:
BMC Medical Informatics and Decision Making, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Magnetic resonance image (MRI) brain tumor segmentation is crucial and important in the medical field, which can help in diagnosis and prognosis, overall growth predictions, Tumor density measures, and care plans needed for patien
Externí odkaz:
https://doaj.org/article/5e53ee1bf1bd4d5090b5332010e1fef8
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2022 (2022)
The increased number of corporate dirty pools raised serious concerns about the interest of the shareholders. The board room politics, conflict of interest, and bully pulpit proclivity gave birth to the “agency complexities.” The complexities of
Externí odkaz:
https://doaj.org/article/942d4deec2e14423afb423d8e99e9170
Publikováno v:
Journal of Sensors. 2022:1-11
The tourism industry cannot ignore the needs of people with special needs. Providing accessible tourism is essential because of social and legal obligations, but also because they have large business opportunities. These people with special needs fac
Publikováno v:
Computational intelligence and neuroscience. 2022
Convolutional neural network (CNN) training often necessitates a considerable amount of computational resources. In recent years, several studies have proposed for CNN inference and training accelerators in which the FPGAs have previously demonstrate