Zobrazeno 1 - 10
of 2 645
pro vyhledávání: '"Koppula"'
Autor:
Abhishek Kumar Tripathi, Mangalpady Aruna, Satyajeet Parida, Durgesh Nandan, P. V. Elumalai, E. Prakash, Joshua Stephen Chellakumar Isaac JoshuaRamesh Lalvani, Koppula Srinivas Rao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract The mining industry confronts significant challenges in mitigating airborne particulate matter (PM) pollution, necessitating innovative approaches for effective monitoring and prediction. This research focuses on the design and development o
Externí odkaz:
https://doaj.org/article/505901b4d3f0410f97adae9b5bbc372e
Autor:
Abhishek Kumar Tripathi, Mangalpady Aruna, P.V. Elumalai, Krishnasamy Karthik, Sher Afghan Khan, Mohammad Asif, Koppula Srinivas Rao
Publikováno v:
Case Studies in Thermal Engineering, Vol 59, Iss , Pp 104459- (2024)
Solar photovoltaic (PV) panels play a crucial role in sustainable energy generation, yet their power output often faces uncertainties due to dynamic weather conditions. In this study, a comparative machine learning approach is introduced, utilizing m
Externí odkaz:
https://doaj.org/article/d16c80ca6e5c4ec8bbf664abe78e049e
Autor:
Rajshree Mathur, Meena Kumari Sharma, K. Loganathan, Mohamed Abbas, Shaik Hussain, Gaurav Kataria, Mohammed S. Alqahtani, Koppula Srinivas Rao
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract The present research aims to predict effluent soluble chemical oxygen demand (SCOD) in anaerobic digestion (AD) process using machine-learning based approach. Anaerobic digestion is a highly sensitive process and depends upon several environ
Externí odkaz:
https://doaj.org/article/8372c6da98f04a35b0bd80cac98540be
Autor:
Jyoti Chauhan, R. M. Rani, Vempaty Prashanthi, Hamad Almujibah, Abdullah Alshahri, Koppula Srinivas Rao, Arun Radhakrishnan
Publikováno v:
Journal of Water Reuse and Desalination, Vol 13, Iss 3, Pp 393-410 (2023)
One way to improve the infrastructure, operations, monitoring, maintenance, and management of wastewater treatment systems is to use machine learning modelling to make smart forecasting, tracking, and failure prediction systems. This method aims to u
Externí odkaz:
https://doaj.org/article/9c4a7de0bb794cc3a858f692c46afbf2
Autor:
Koppula Srinivas Rao, Vineet Tirth, Hamad Almujibah, Abdullah H. Alshahri, V. Hariprasad, N. Senthilkumar
Publikováno v:
Water Science and Technology, Vol 87, Iss 11, Pp 2793-2805 (2023)
Water is a necessary resource that enables the existence of all life forms, including humans. Freshwater usage has become increasingly necessary in recent years. Facilities for treating seawater are less dependable and effective. Deep learning method
Externí odkaz:
https://doaj.org/article/25a6f77a0d3d40248e1c173fd9a6855f
Publikováno v:
Journal of Pharmacy and Bioallied Sciences, Vol 15, Iss 5, Pp 698-701 (2023)
Background: The identification of nearby neurovascular structures is a vital part of dental implant treatment planning. Commonly two implants are placed in the mandibular inter foraminal region to support the overdenture. Placing dental implants in t
Externí odkaz:
https://doaj.org/article/08ff89cc29de440a87c47f2a579e4f05
Publikováno v:
Journal of Information Technology Management, Vol 15, Iss Special Issue, Pp 34-51 (2023)
Women’s safety is very important for around the world and many anti-women safety incidents are happened in current decades. Women's criminality is on the rise in India, particularly on an hourly basis 1000 criminal cases are filed according to Indr
Externí odkaz:
https://doaj.org/article/fcd39bf9500a4720a4eac7ffcfe20fce
Autor:
Carreira, João, Gokay, Dilara, King, Michael, Zhang, Chuhan, Rocco, Ignacio, Mahendran, Aravindh, Keck, Thomas Albert, Heyward, Joseph, Koppula, Skanda, Pot, Etienne, Erdogan, Goker, Hasson, Yana, Yang, Yi, Greff, Klaus, Moing, Guillaume Le, van Steenkiste, Sjoerd, Zoran, Daniel, Hudson, Drew A., Vélez, Pedro, Polanía, Luisa, Friedman, Luke, Duvarney, Chris, Goroshin, Ross, Allen, Kelsey, Walker, Jacob, Kabra, Rishabh, Aboussouan, Eric, Sun, Jennifer, Kipf, Thomas, Doersch, Carl, Pătrăucean, Viorica, Damen, Dima, Luc, Pauline, Sajjadi, Mehdi S. M., Zisserman, Andrew
Scaling has not yet been convincingly demonstrated for pure self-supervised learning from video. However, prior work has focused evaluations on semantic-related tasks $\unicode{x2013}$ action classification, ImageNet classification, etc. In this pape
Externí odkaz:
http://arxiv.org/abs/2412.15212
Autor:
Karanam Madhavi, Kamani Varun Kumar, Kuchana Vikas, Koppula Gopal Krishna Reddy, Gongada Gautham
Publikováno v:
E3S Web of Conferences, Vol 391, p 01016 (2023)
Object and its dimension detection from images and videos can be very helpful for everyday use. This paper discusses the use of the system to detect an object in real time and provide its dimensions upon demand. The object dimension measurement and d
Externí odkaz:
https://doaj.org/article/7d84aa5659aa4afcb1ce204dc059246f
Autor:
Beyer, Lucas, Steiner, Andreas, Pinto, André Susano, Kolesnikov, Alexander, Wang, Xiao, Salz, Daniel, Neumann, Maxim, Alabdulmohsin, Ibrahim, Tschannen, Michael, Bugliarello, Emanuele, Unterthiner, Thomas, Keysers, Daniel, Koppula, Skanda, Liu, Fangyu, Grycner, Adam, Gritsenko, Alexey, Houlsby, Neil, Kumar, Manoj, Rong, Keran, Eisenschlos, Julian, Kabra, Rishabh, Bauer, Matthias, Bošnjak, Matko, Chen, Xi, Minderer, Matthias, Voigtlaender, Paul, Bica, Ioana, Balazevic, Ivana, Puigcerver, Joan, Papalampidi, Pinelopi, Henaff, Olivier, Xiong, Xi, Soricut, Radu, Harmsen, Jeremiah, Zhai, Xiaohua
PaliGemma is an open Vision-Language Model (VLM) that is based on the SigLIP-So400m vision encoder and the Gemma-2B language model. It is trained to be a versatile and broadly knowledgeable base model that is effective to transfer. It achieves strong
Externí odkaz:
http://arxiv.org/abs/2407.07726