Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Pratishtha Verma"'
Autor:
Kaavya Rathnakumar, Ranjitha Gracy T. Kalaivendan, Gunaseelan Eazhumalai, Anto Pradeep Raja Charles, Pratishtha Verma, Sarvesh Rustagi, Sweety Bharti, Anjineyulu Kothakota, Shahida Anusha Siddiqui, Jose Manuel Lorenzo, R. Pandiselvam
Publikováno v:
Ultrasonics Sonochemistry, Vol 96, Iss , Pp 106407- (2023)
Ultrasound processing has been widely applied in food sector for various applications such as decontamination and structural and functional components modifications in food. Enzymes are proteinaceous in nature and are widely used due to its catalytic
Externí odkaz:
https://doaj.org/article/39e3c5059f8b41f88558b34c4cadcc0e
Autor:
Mohd Adil, Iqbal Ahmad, Sanjeev Anand, Firoz Ahmad Ansari, Yaser Arafath, Marco Artini, Ana Azevedo, Sivaraj Barath, Samsudeen Malik Basha, Justyna Bauza-Kaszewska, Akshaya Kumar Behera, Chhandashree Behera, Assirbad Behura, Sudipa Bhadra, Prajna Paramita Bhuyan, Níura Madalena Bila, Damon C. Brown, Maria Pia Busnelli, Fábio M. Carvalho, Shruti Chatterjee, Rui Chen, Christudoss Abisha Christy, Caroline Barcelos Costa-Orlandi, Loredana Cristiano, Ana Carolina Moreira da Silva Pires, Maria Alejandra Daniel, Kannan Dheerka Darsha, Mousumi Das, Samanta de Matos Silva, Purbajyoti Deka, Rohan Dhiman, Singh Dikshant, Orlando Donfrancesco, Aifa Fathima, Lauren Foulkes, Ana Marisa Fusco-Almeida, Gashahun Gezahegne, Anindya Sundar Ghosh, Lisa M. Gieg, Luciana C. Gomes, Vinoj Gopalakrishnan, Eugenia Gospodarek-Komkowska, Katarzyna Grudlewska-Buda, Anshu Gupta, Soumya Haldar, Ekramul Haque, Singhal Hardik, Saqib Hassan, Fohad Mabood Husain, Julfequar Hussain, Mrutyunjay Jena, P. Jishma, Karthikeyan Kandaswamy, Ashwin Kannan, Thirupathi Kasthuri, Anubha Kaushik, Vaishali Kaushik, R. Kavi Bharathi, Asad U. Khan, Atif Khan, Javed Ahamad Khan, Rosina Khan, George Segal Kiran, Ashish Kumar, Joanna Kwiecińska-Piróg, Irene C. Lazzarini Behrmann, Swarupa Mallick, Nambiraman Malligarjunan, Amiya Kumar Mandal, Gajanan Mane, Caroline Maria Marcos, Kaila Petronila Medina-Alarcón, Maria José Soares Mendes-Giannini, Filipe J.M. Mergulhão, Abtar Mishra, Amit Mishra, Neha Mishra, Nishu Mittal, Andrea M. Monroy, Hari Prasath Nagaiah, Lincoln Naik, Muruganandam Nandhakumar, Dev Kiran Nayak, Rabindra Nayak, Vidya Devi Negi, Stefania Nottola, Gloria N. Okpala, Lipsa Panda, Shunmugiah Karutha Pandian, Rosanna Papa, Sudhamayee Parida, Salina Patel, Milind S. Patole, Srimanta Patra, Steven L. Percival, Satish T. Pote, Akhilesh A. Potnis, Biswajita Pradhan, Jagannath Pradhan, Jasmin Pradhan, K. Prashanth, R. Prathiviraj, Arumugam Priya, Luciano Procópio, E.K. Radhakrishnan, Prashanth S. Raghavan, Hema Rajaram, Satish Kumar Rajasekharan, Meora Rajeev, Augustus Akshaya Rani, Ankit Rao, Toleti Subba Rao, Sumit Kumar Rastogi, Shailabh Rauniyar, Michela Relucenti, Mohd Sajjad Ahmad Khan, null Samreen, Rajesh Kumar Sani, Ajit Ramesh Sawant, Priya Saxena, Laura Selan, Joseph Selvin, Surajbhan Sevda, Sriram Shankar, Rohit Sharma, Shraddha Sharma, Moshe Shemesh, Bhim Pratap Singh, Dhananjay Singh, Garima Singh, Prashant Kumar Singh, Ram Nageena Singh, Shiv Mohan Singh, Krzysztof Skowron, Jae Jun Song, C.S. Srinandan, T.J. Sushmitha, Marcus Swann, Payal Thakur, Vihang Thite, Vishvanath Tiwari, Abhilash Kumar Tripathi, Raymond J. Turner, Shipra Varshney, Carolina Orlando Vaso, Pratishtha Verma, Diana L. Vullo, Ewa Wałecka-Zacharska, Fergus Watson, Natalia Wiktorczyk-Kapischke, Mukesh Kumar Yadav, Alicja Zimmer, Ruth Zomuansangi, null Zothanpuia
Publikováno v:
Understanding Microbial Biofilms ISBN: 9780323999779
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa2b6f2b056f69fabfd4e2f5af7d3d3b
https://doi.org/10.1016/b978-0-323-99977-9.09992-0
https://doi.org/10.1016/b978-0-323-99977-9.09992-0
Autor:
Pratishtha Verma, Rajeev Srivastava
Publikováno v:
The Visual Computer. 38:2417-2430
Human beings easily reconstruct the 3D pose of a human from a 2D image, but 3D human pose reconstruction (HPR) continues to exist as a challenging task for machines. Traditional methods can reconstruct the 3D pose from the image directly or from the
Autor:
Pratishtha Verma, Rajeev Srivastava
Publikováno v:
Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization. 9:600-612
Estimating human pose is a difficult task due to the high flexibility of joints and possible occlusion. In this paper, the proposed architecture efficiently predicts human pose and solves the prece...
Autor:
Sanjeev Anand, Pratishtha Verma
Publikováno v:
Journal of Dairy Science. 103:9992-10000
Current cleaning and sanitation protocols may not be adequately effective in cleaning separation membranes and can result in the formation of resilient multispecies biofilms. The matured biofilms may result in a bacterial predominance with resilient
Publikováno v:
2022 1st International Conference on Informatics (ICI).
Publikováno v:
Multimedia Systems. 26:671-685
The deep learning techniques have achieved great success in the application of human activity recognition (HAR). In this paper, we propose a technique for HAR that utilizes the RGB and skeleton information with the help of a convolutional neural netw
Publikováno v:
Journal of dairy science. 104(1)
Microbial attachment and colonization on separation membranes lead to biofilm formation. Some isolates within the biofilm microflora acquire greater resistance to the chemical cleaning protocols on prolonged use of membranes. It is thus likely that t
Autor:
Vikram Varma Indukuri, Venkata Vamsi Krishna Venuganti, Apurva Chandrashekhar Dusane, Pratishtha Verma, Leela Sai Lokesh Janardhanam
Publikováno v:
Materials Science and Engineering: C. 115:111118
The objective of this work was to prepare and characterize pH-sensitive capsule containing functionalized layer-by-layer (LbL) assembled polymeric film with directional drug release and evaluate its effectiveness against colon cancer. 5-Fluorouracil
Autor:
Rajeev Srivastava, Pratishtha Verma
Publikováno v:
Journal of Visual Communication and Image Representation. 71:102866
3D Human Pose Reconstruction (HPR) is a challenging task due to less availability of 3D ground truth data and projection ambiguity. To address these limitations, we propose a three-stage deep network having the workflow of 2D Human Pose Estimation (H