Zobrazeno 1 - 10
of 338
pro vyhledávání: '"Saurabh Agarwal"'
Publikováno v:
Journal of Big Data, Vol 11, Iss 1, Pp 1-27 (2024)
Abstract Air is an essential human necessity, and inhaling filthy air poses a significant health risk. One of the most severe hazards to people’s health is air pollution, and appropriate precautions should be taken to monitor and anticipate its qua
Externí odkaz:
https://doaj.org/article/d192697c6f3b4ca5ae659d1d166b48fe
Publikováno v:
Asian Journal of Medical Sciences, Vol 15, Iss 7, Pp 133-136 (2024)
Background: Platelet-rich plasma (PRP) helps in the treatment of various insertion tendinitis, and the recurrence rate will be low. In this study, we used intralesional injections of autologous PRP for the treatment of insertion tendinitis. Aims a
Externí odkaz:
https://doaj.org/article/0e9e12af8937474b9d17fcb668f335f6
Autor:
Rhodes Massenon, Ishaya Gambo, Roseline Oluwaseun Ogundokun, Ezekiel Adebayo Ogundepo, Sweta Srivastava, Saurabh Agarwal, Wooguil Pak
Publikováno v:
PeerJ Computer Science, Vol 10, p e2401 (2024)
Mobile app reviews are valuable for gaining user feedback on features, usability, and areas for improvement. Analyzing these reviews manually is difficult due to volume and structure, leading to the need for automated techniques. This mapping study c
Externí odkaz:
https://doaj.org/article/af089087c6494439bbd8482ebf9dc4ae
Publikováno v:
Heliyon, Vol 10, Iss 17, Pp e36729- (2024)
As mobile applications proliferate and user feedback becomes abundant, the task of identifying and resolving conflicts among application features is crucial for delivering satisfactory user experiences. This research, motivated to align application d
Externí odkaz:
https://doaj.org/article/caeafd1330e049f5930aada23468adb6
Autor:
Sumit Singh Dhanda, Brahmjit Singh, Chia-Chen Lin, Poonam Jindal, Deepak Panwar, Tarun Kumar Sharma, Saurabh Agarwal, Wooguil Pak
Publikováno v:
IEEE Access, Vol 12, Pp 144304-144315 (2024)
The most widely used asymmetric cipher is ECC. It can be applied to IoT applications to offer various security services. However, a wide range of sectors have been investigated for applying ECC. The field of elliptic curve cryptographic processors fo
Externí odkaz:
https://doaj.org/article/6557e4fb15984cd4a63d2585daa4520a
Autor:
Ishaya Gambo, Rhodes Massenon, Chia-Chen Lin, Roseline Oluwaseun Ogundokun, Saurabh Agarwal, Wooguil Pak
Publikováno v:
IEEE Access, Vol 12, Pp 114023-114045 (2024)
Mobile app developers struggle to prioritize updates by identifying feature requests within user reviews. While machine learning models can assist, their complexity often hinders transparency and trust. This paper presents an explainable Artificial I
Externí odkaz:
https://doaj.org/article/a00ea163eec640928551405074413a91
Publikováno v:
Sensors, Vol 24, Iss 21, p 7033 (2024)
The classification of ECG signals is a critical process because it guides the diagnosis of the proper treatment process for the patient. However, any form of disturbance with ECG signals can be highly conspicuous because of the mechanics involved in
Externí odkaz:
https://doaj.org/article/1ecfe9abc01d491494388a690866ad08
Autor:
Rameswari Chilamakuri, Saurabh Agarwal
Publikováno v:
Pharmaceuticals, Vol 17, Iss 10, p 1350 (2024)
Background: Dysregulation of receptor tyrosine kinase c-MET is known to promote tumor development by stimulating oncogenic signaling pathways in different cancers, including pediatric neuroblastoma (NB). NB is an extracranial solid pediatric cancer t
Externí odkaz:
https://doaj.org/article/4fe4b10476fa4fab9b35db198e0e9451
Autor:
Uwigize Patrick, S. Koteswara Rao, B. Omkar Lakshmi Jagan, Hari Mohan Rai, Saurabh Agarwal, Wooguil Pak
Publikováno v:
Applied Sciences, Vol 14, Iss 18, p 8332 (2024)
Machine learning, a rapidly growing field, has attracted numerous researchers for its ability to automatically learn from and make predictions based on data. This manuscript presents an innovative approach to estimating the covariance matrix of noise
Externí odkaz:
https://doaj.org/article/d77aed5ff4fc4f2785cbb8c79c0c9968
Autor:
Dilip Kumar Sharma, Ravi Prakash Varshney, Saurabh Agarwal, Amel Ali Alhussan, Hanaa A. Abdallah
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e27860- (2024)
Time series forecasting across different domains has received massive attention as it eases intelligent decision-making activities. Recurrent neural networks and various deep learning algorithms have been applied to modeling and forecasting multivari
Externí odkaz:
https://doaj.org/article/d898ba414c5e4026b4dfb898b2478757