Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Sonam Srivastava"'
Publikováno v:
SSRN Electronic Journal.
Autor:
Ashwani Kumar, Sonam Srivastava
Publikováno v:
Procedia Computer Science. 171:2610-2617
In this paper we propose object detection technique to detect objects in real time on any device running the model and in any environment. Object detection and training is a vast, vibrant and yet inconclusive and complex area of the computer vision.
Autor:
Yogendra Singh, Sonam Srivastava
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811650772
Lecture Notes in Electrical Engineering
Lecture Notes in Electrical Engineering
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3bdedc0ea3c49b9abdc5fa2f8b36c74d
https://doi.org/10.1007/978-981-16-5078-9_21
https://doi.org/10.1007/978-981-16-5078-9_21
Publikováno v:
Communication and Intelligent Systems ISBN: 9789811610882
Social media analytics (SMA) has recently emerged as a dominant research field due to the usage of social media platforms, globally. The SMA usually involves the primary steps of data acquisition, preprocessing and analysis. Due to voluminous, hetero
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b13a3550164625ec79d008e71d69159
https://doi.org/10.1007/978-981-16-1089-9_78
https://doi.org/10.1007/978-981-16-1089-9_78
Publikováno v:
SSRN Electronic Journal.
Autor:
Yogendra Singh, Sonam Srivastava
Publikováno v:
Computer Networks, Big Data and IoT ISBN: 9789811609640
Social media plays an indispensable role in the ever-expanding human population, which will in turn result in generating a huge volume of data. Social media analytics is the technique used for acquiring and analysing the data from social networks. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8b37feb2132c4fbfec253c75cf66633f
https://doi.org/10.1007/978-981-16-0965-7_20
https://doi.org/10.1007/978-981-16-0965-7_20
Reinforcement learning is a machine learning approach concerned with solving dynamic optimization problems in an almost model-free way by maximizing a reward function in state and action spaces. This property makes it an exciting area of research for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c600b2b1b192caaa4c06c5da578c1fa
http://arxiv.org/abs/2010.04404
http://arxiv.org/abs/2010.04404
Autor:
Haseen Ahmed, Md. Ansar, Anitha Christy S. Arumanayagam, Praffulla Kumar Arya, Piyoosh Kumar Babele, Ng. Kunjarani Chanu, Aroni Chatterjee, Neha Chaurasia, Huan Chen, Criss Dcosta, Mithoor Divyashree, Priya M. D’Costa, Somayeh Gharaie Fathabad, Leonard S. Fresenborg, Hiya Ghosh, Samson Gichuki, Julia Graf, Hema Joshi, Pramod K. Kalambate, Azmi Khan, Sudarshan Kini, Dnyaneshwar K. Kulal, Ajay Kumar, Anil Kumar, Deepak Kumar, Mayank Kumar, Mithlesh Kumar, Ravi Ranjan Kumar, Nidhi Kumari, Prakash C. Loni, Bangera Sheshappa Mamatha, Madan Kumar Mandal, Madhu K. Mani, Arundhati Mehta, Swati Mishra, Arpan Modi, Ravidas Krishna Naik, Awadhesh Kumar Pal, Abha Pandey, K.D. Pandey, Shyam Narain Pandey, Jainendra Pathak, Pravin Prakash, Bishun Deo Prasad, Lal Chand Rai, Kolchar M. Rajaneesh, Keshav Rajarshi, null Rajneesh, Tushar Ranjan, Shashikant Ray, Jayashree Rout, Om Prakash Roy, Rajdeep Roy, Rakesh Sil Sarma, Pampi Sarmah, Hannah Schätzle, Enrico Schleiff, Sonia Sen, Abhilasha Shourie, Alok Kumar Shrivastava, Dhananjay Shukla, Anamika Singh, Anjali Singh, Avinash Singh, Birender Singh, Deepak K. Singh, Durgeshwer Singh, Mrityunjay K. Singh, P.K. Singh, Prashant Kumar Singh, Pratika Singh, Sandeep Kumar Singh, Savita Singh, Shilpi Singh, Toolika Singh, Vidya Singh, Vipin Kumar Singh, Rajeshwar P. Sinha, Viji Sitther, Surajit Some, Vivek Kumar Soni, Amrita Srivastava, Sonam Srivastava, Behnam Tabatabai, Hariom Verma, Isha Verma, Naveen Kumar Vishvakarma, Wenjing Wang, Deepanker Yadav
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f0480981abd537e9a173d09c4d848619
https://doi.org/10.1016/b978-0-12-819311-2.00029-2
https://doi.org/10.1016/b978-0-12-819311-2.00029-2
Autor:
Rai, Pradeep, Usman, Mohammed, Paras Jain, Shukla, Man Mohan, Chaurasia, Ruchi, Anurag Tewari, Shukla, Nidhi, Srivastava, Atul, Mohd Yasir Arafat, Partha Pratim Sarangi, Piyush Bhushan Singh, Abhishek Srivastava, Raisul Hasan, Sonam Srivastava, Kumari, Richa, Krati Gupta, Gupta, Ruchi, Bhola Chaurasia, Dwivedi, Arun KUMAR, Ankush Verma, Dr. Dileep Kumar Yadav, Satyasundara Mahapatra, Ved Prakash Bhardwaj, Ajar Nath Yadav, Rachit Patel, Xiangyang Hu, Kishtwal, Ashok, Vishal Kamble, Shadab, Azhar, Faujdar, Neetu, Shah, Mohammad Imran, Sahni, Dinesh, Purnima Bhandari, Singh, Suren, Starcic, Andreja Istenic, Gaurav KUMAR Upadhyay, Jeong, Young-Sik, Driscoll, Nicola O, Dugyala, Raman, Hyderabad Shrawan Kumar, Rajanikanth Aluvalu, K Mallikharjuna Babu, Akhil, Jabbar, Muni Sekhar, Mallellu Sai Prashanth, Hyderabad C Prof, S K Prashanth, Kulkarni, Vivek, Vipin Tyagi, Kumar, Ashwani, Gundabathula Venkateswara Rao, Dheerendra Singh Gangwar, P K Gupta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aa2277aecd4f89c3a436bef79f7e408c
Publikováno v:
SSRN Electronic Journal.
In this work, we have found a risk model that improves the performance of Risk Targeting. Risk Targeting in portfolio construction is implemented to improve capital utilization in growing markets and systematically step away from risk scenarios. Howe