Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Paduri, Anwesh Reddy"'
The battery management system plays a vital role in ensuring the safety and dependability of electric and hybrid vehicles. It is responsible for various functions, including state evaluation, monitoring, charge control, and cell balancing, all integr
Externí odkaz:
http://arxiv.org/abs/2404.05776
Autor:
Darapaneni, Narayana, Maram, Suma, Singh, Harpreet, Subhani, Syed, Kour, Mandeep, Nagam, Sathish, Paduri, Anwesh Reddy
COVID-19, also known as Novel Coronavirus Disease, is a highly contagious disease that first surfaced in China in late 2019. SARS-CoV-2 is a coronavirus that belongs to the vast family of coronaviruses that causes this disease. The sickness originall
Externí odkaz:
http://arxiv.org/abs/2204.03849
Autor:
Darapaneni, Narayana, Bhakuni, Chandrashekhar, Bhatt, Ujjval, Purohit, Khamir, Sardna, Vikas, Chakraborty, Prabir, Paduri, Anwesh Reddy
Businesses need content. In various forms and formats and for varied purposes. In fact, the content marketing industry is set to be worth $412.88 billion by the end of 2021. However, according to the Content Marketing Institute, creating engaging con
Externí odkaz:
http://arxiv.org/abs/2204.09718
Autor:
Darapaneni, Narayana, Raj, Selvakumar, V, Raghul, Sivaraman, Venkatesh, Mohan, Sunil, Paduri, Anwesh Reddy
The application of Deep Learning and Natural Language based ChatBots are growing rapidly in recent years. They are used in many fields like customer support, reservation system and as personal assistant. The Enterprises are using such ChatBots to ser
Externí odkaz:
http://arxiv.org/abs/2204.09717
Autor:
Darapaneni, Narayana, Paduri, Anwesh Reddy, Sharma, Himank, Manjrekar, Milind, Hindlekar, Nutan, Bhagat, Pranali, Aiyer, Usha, Agarwal, Yogesh
Stock market prediction has been an active area of research for a considerable period. Arrival of computing, followed by Machine Learning has upgraded the speed of research as well as opened new avenues. As part of this research study, we aimed to pr
Externí odkaz:
http://arxiv.org/abs/2204.05783
Autor:
Darapaneni, Narayana, Tiwari, Rajiv, Paduri, Anwesh Reddy, Saurav, Suman, Chaoji, Rohit, Sohil
The Indian Agricultural sector generates huge employment accounting for over 54% of countrys workforce. Its overall stand in GDP is close to 14%. However, this sector has been plagued by knowledge and infrastructure deficit, especially in the rural s
Externí odkaz:
http://arxiv.org/abs/2204.07032
Autor:
Darapaneni, Narayana, Ranjan, Ashish, Bright, Dany, Trivedi, Devendra, Kumar, Ketul, Kumar, Vivek, Paduri, Anwesh Reddy
With the advancement in AI, deep learning techniques are widely used to design robust classification models in several areas such as medical diagnosis tasks in which it achieves good performance. In this paper, we have proposed the CNN model (Convolu
Externí odkaz:
http://arxiv.org/abs/2204.03618
Autor:
Darapaneni, Narayana, Arora, Jai, Hazra, MoniShankar, Vig, Naman, Gandhi, Simrandeep Singh, Gupta, Saurabh, Paduri, Anwesh Reddy
With over 50 million car sales annually and over 1.3 million deaths every year due to motor accidents we have chosen this space. India accounts for 11 per cent of global death in road accidents. Drivers are held responsible for 78% of accidents. Road
Externí odkaz:
http://arxiv.org/abs/2204.03371
Autor:
Darapaneni, Narayana, Kumar, Shrawan, Krishnan, Selvarangan, K, Hemalatha, Rajagopal, Arunkumar, Nagendra, Paduri, Anwesh Reddy
The purpose of this work is, to provide a YOLOv5 deep learning-based social distance monitoring framework using an overhead view perspective. In addition, we have developed a custom defined model YOLOv5 modified CSP (Cross Stage Partial Network) and
Externí odkaz:
http://arxiv.org/abs/2204.03350
Autor:
Darapaneni, Narayana, Kherde, Vaibhav, Rao, Kameswara, Nikam, Deepali, Katdare, Swanand, Shukla, Anima, Lomate, Anagha, Paduri, Anwesh Reddy
The new alternative is to use deep learning to inpaint any image by utilizing image classification and computer vision techniques. In general, image inpainting is a task of recreating or reconstructing any broken image which could be a photograph or
Externí odkaz:
http://arxiv.org/abs/2204.02591