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Your search keyword '"Das, Prasenjit"' showing total 536 results
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536 results on '"Das, Prasenjit"'

1. Virial Equation of State for a Granular System

Author

Howlader, Subhanker and Das, Prasenjit

Subjects
Condensed Matter - Soft Condensed Matter, Condensed Matter - Statistical Mechanics
Abstract

The equation of state for an ideal gas is simple, which is $P=nk_{\rm B}T$. In the case of imperfect gases where mutual interactions among the constituents are important, pressure $P$ can be expressed as the series expansion of density $n$ with appropriate coefficients, known as virial coefficients $B_m$. In this paper, we have obtained the first four virial coefficients for a model interaction potential $\Phi(r)$ using multidimensional Monte-Carlo integration and importance sampling methods. Next, we perform molecular dynamics simulations with the same $\Phi(r)$ for a many-particle system to obtain $P$ as a function of $T$ and $n$. We compare our numerical data with the virial equation of state., Comment: 15 Pages, 7 Figures

Published
2024
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3. DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting

Author

Tyagi, Aayush Kumar, Mohapatra, Chirag, Das, Prasenjit, Makharia, Govind, Mehra, Lalita, AP, Prathosh, and Mausam

Subjects
Computer Science - Computer Vision and Pattern Recognition
Abstract

Multi-class cell detection and counting is an essential task for many pathological diagnoses. Manual counting is tedious and often leads to inter-observer variations among pathologists. While there exist multiple, general-purpose, deep learning-based object detection and counting methods, they may not readily transfer to detecting and counting cells in medical images, due to the limited data, presence of tiny overlapping objects, multiple cell types, severe class-imbalance, minute differences in size/shape of cells, etc. In response, we propose guided posterior regularization (DeGPR), which assists an object detector by guiding it to exploit discriminative features among cells. The features may be pathologist-provided or inferred directly from visual data. We validate our model on two publicly available datasets (CoNSeP and MoNuSAC), and on MuCeD, a novel dataset that we contribute. MuCeD consists of 55 biopsy images of the human duodenum for predicting celiac disease. We perform extensive experimentation with three object detection baselines on three datasets to show that DeGPR is model-agnostic, and consistently improves baselines obtaining up to 9% (absolute) mAP gains.

Published
2023

4. Evaluating the Parking Characteristics and Parking Demand of On-Street Parking in Silchar City

Author

Das, Prasenjit, Bokadia, Ashwani, Ahmed, Mokaddes Ali, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Singh, Dharamveer, editor, Maji, Avijit, editor, Karmarkar, Omkar, editor, Gupta, Monik, editor, Velaga, Nagendra Rao, editor, and Debbarma, Solomon, editor

Published
2024
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5. Model for Estimating On-Street Night Parking Demand: A Case Study at Roorkee

Author

Bokadia, Ashwani, Ahmed, Mokaddes Ali, Das, Prasenjit, di Prisco, Marco, Series Editor, Chen, Sheng-Hong, Series Editor, Vayas, Ioannis, Series Editor, Kumar Shukla, Sanjay, Series Editor, Sharma, Anuj, Series Editor, Kumar, Nagesh, Series Editor, Wang, Chien Ming, Series Editor, Cui, Zhen-Dong, Series Editor, Singh, Dharamveer, editor, Maji, Avijit, editor, Karmarkar, Omkar, editor, Gupta, Monik, editor, Velaga, Nagendra Rao, editor, and Debbarma, Solomon, editor

Published
2024
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6. Poor Performance of Non-invasive Tests for Advanced Fibrosis in Nonalcoholic Fatty Liver Disease: A Multicentric Asian Study

Author

Arora, Umang, Goyal, Ritik M., Teh, Kevin K. J., Pei, Yiying, Goh, George B. B., Lin, Su, Kumar, Rahul, Biswas, Sagnik, Vaishnav, Manas, Swaroop, Shekhar, Pathak, Piyush, Sheikh, Sabreena, Bharadiya, Vishwesh, Elhence, Anshuman, Gamanagatti, Shivanand, Yadav, Rajni, Das, Prasenjit, Aggarwal, Sandeep, Choudhary, Narendra, Anirvan, Prajna, Singh, Shivaram P., De, Arka, Duseja, Ajay, and Shalimar

Published
2023
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12. Coconut Water Induces Clinical Remission in Mild to Moderate Ulcerative Colitis: Double-blind Placebo-controlled Trial

Author

Kedia, Saurabh, Virmani, Shubi, Bajaj, Aditya, Markandey, Manasvini, Singh, Neha, Madan, Divya, Kaushal, Kanav, Sahu, Pabitra, Vuyyuru, Sudheer Kumar, Kante, Bhaskar, Kumar, Peeyush, Thomas, David Mathew, Mundhra, Sandeep Kumar, Singh, Mukesh Kumar, Verma, Mahak, Sharma, Raju, Das, Prasenjit, Dash, Nihar Ranjan, Monga, Nitika, Awasthi, Amit, Makharia, Govind, and Ahuja, Vineet

Published
2024
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16. K Nearest Neighbour Collaborative Filtering for Expertise Recommendation Systems

Author

Faruk, Kazi Omar, Rahman, Anika, Shusmita, Sanjida Ali, Awlad, Md Sifat Ibn, Das, Prasenjit, Mehedi, Md Humaion Kabir, Iqbal, Shadab, Rasel, Annajiat Alim, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Omatu, Sigeru, editor, Mehmood, Rashid, editor, Sitek, Pawel, editor, Cicerone, Serafino, editor, and Rodríguez, Sara, editor

Published
2023
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17. MATRA: An Automated System for MATernal Risk Assessment

Author

Chakraborty, Amartya, Dutta, Stobak, Biswas, Ankur, Das, Prasenjit, Bhagat, Surendra Nath, Guha, Subhankar, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Bhattacharyya, Siddhartha, editor, Banerjee, Jyoti Sekhar, editor, and Köppen, Mario, editor

Published
2023
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19. Pattern dynamics of density and velocity fields in segregation of fluid mixtures.

Author

Das, Prasenjit, Dubey, Awadhesh Kumar, and Puri, Sanjay

Subjects
*VELOCITY, *RANDOM fields, *DENSITY, *PHASE separation, *BINARY mixtures, *DYNAMICAL systems, *FLUID-structure interaction
Abstract

We present comprehensive numerical results from a study of model H, which describes phase separation kinetics in binary fluid mixtures. We study the pattern dynamics of both density and velocity fields in d = 2, 3. The density length scales show three distinct regimes, in accordance with analytical arguments. The velocity length scale shows a diffusive behavior. We also study the scaling behavior of the morphologies for density and velocity fields and observe dynamical scaling in the relevant correlation functions and structure factors. Finally, we study the effect of quenched random field disorder on spinodal decomposition in model H. [ABSTRACT FROM AUTHOR]

Published
2024
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34. Reversible solvent interactions with UiO-67 metal–organic frameworks.

Author

Goodenough, Isabella, Boyanich, Mikaela C., McDonnell, Ryan P., Castellana, Lauren, Datta Devulapalli, Venkata Swaroopa, Luo, Tian-Yi, Das, Prasenjit, Richard, Mélissandre, Rosi, Nathaniel L., and Borguet, Eric

Abstract

The utility of UiO-67 Metal–Organic Frameworks (MOFs) for practical applications requires a comprehensive understanding of intermolecular host-guest MOF–analyte interactions. To investigate intermolecular interactions between UiO-67 MOFs and complex molecules, it is useful to evaluate the interactions with simple polar and non-polar analytes. This problem is approached by investigating the interactions of polar (acetone and isopropanol) and non-polar (n-heptane) molecules with functionalized UiO-67 MOFs via temperature programmed desorption mass spectrometry and temperature programmed Fourier transform infrared spectroscopy. We find that isopropanol, acetone, and n-heptane bind reversibly and non-destructively to UiO-67 MOFs, where MOF and analyte functionality influence relative binding strengths (n-heptane ≈ isopropanol > acetone). During heating, all three analytes diffuse into the internal pore environment and directly interact with the μ3-OH groups located within the tetrahedral pores, evidenced by the IR response of ν(μ3-OH). We observe nonlinear changes in the infrared cross sections of the ν(CH) modes of acetone, isopropanol, and n-heptane following diffusion into UiO-67. Similarly, acetone's ν(C=O) infrared cross section increases dramatically when diffused into UiO-67. Ultimately, this in situ investigation provides insights into how individual molecular functional groups interact with UiO MOFs and enables a foundation where MOF interactions with complex molecular systems can be evaluated. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Contributors

Author

Baruah, Indrani, primary, Bharatam, Prasad V., additional, Boldyrev, Alexander I., additional, Borah, Ritam Raj, additional, Chakraborty, Debdutta, additional, Chattaraj, Pratim Kumar, additional, Cui, Zhong-Hua, additional, Das, Prasenjit, additional, Das, Subhra, additional, Dubey, Gurudutt, additional, Ghara, Manas, additional, Ghosh, Swapan K., additional, Ghoshal, Sourav, additional, Giri, Santanab, additional, Gopalsamy, K., additional, Gratious, Saniya, additional, Guha, Ankur K., additional, Guo, Chunna, additional, He, Xin, additional, Jana, Gourhari, additional, Janani, M., additional, Jha, Ruchi, additional, Jiang, Dandan, additional, Kalita, Amlan J., additional, Kashyap, Chayanika, additional, Konishi, Katsuaki, additional, Kumar, Abhishek, additional, Li, Hai-Xia, additional, Li, Meng, additional, Liu, Shubin, additional, Maiyelvaganan, K.R., additional, Mandal, Sukhendu, additional, Mazumder, Lakhya J., additional, Mercero, Jose M., additional, Misra, Neeraj, additional, Molayem, M., additional, Mondal, Sukanta, additional, Mukherjee, Sayani, additional, Muñoz-Castro, Alvaro, additional, Nguyen, Minh Tho, additional, Nhat, Pham Vu, additional, Osorio, Edison, additional, Pal, Ranita, additional, Pan, Sudip, additional, Paul, Debolina, additional, Poddar, Arpita, additional, Prakash, M., additional, Pramanik, Anup, additional, Ravva, M.K., additional, Rohman, Shahnaz S., additional, Rong, Chunying, additional, Roy, Debesh R., additional, Saha, Ranajit, additional, Sarkar, Pranab, additional, Sarkar, Utpal, additional, Sarmah, Kangkan, additional, Shah, Esha V., additional, Shichibu, Yukatsu, additional, Si, Nguyen Thanh, additional, Sinha, Swapan, additional, Springborg, M., additional, Srivastava, Ambrish Kumar, additional, Subramanian, V., additional, Sun, Zhong-Ming, additional, Tiwari, Gargi, additional, Tkachenko, Nikolay V., additional, Ugalde, Jesus M., additional, Yashmin, Farnaz, additional, Zhao, Dongbo, additional, and Zhao, Lili, additional

Published
2023
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45. Challenges in Malware Detection and Effecting Areas: Survey

Author

Mehta, Gaurav, Das, Prasenjit, Tripathi, Vikas, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Goar, Vishal, editor, Kuri, Manoj, editor, Kumar, Rajesh, editor, and Senjyu, Tomonobu, editor

Published
2022
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46. On-Street Parking Management in Urban CBD: A Critical Review

Author

Das, Prasenjit, Ahmed, Mokaddes Ali, Das, Debasish, Bansal, Jagdish Chand, Series Editor, Deep, Kusum, Series Editor, Nagar, Atulya K., Series Editor, Das, Kedar Nath, editor, Das, Debasish, editor, Ray, Anjan Kumar, editor, and Suganthan, Ponnuthurai Nagaratnam, editor

Published
2022
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47. Techniques in Detecting Diabetic Retinopathy: A Review

Author

Datta, Parul, Das, Prasenjit, Kumar, Abhishek, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sarma, Hiren Kumar Deva, editor, Balas, Valentina Emilia, editor, Bhuyan, Bhaskar, editor, and Dutta, Nitul, editor

Published
2022
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48. Deep Learning: An Application Perspective

Author

Sakshi, Das, Prasenjit, Jain, Shaily, Sharma, Chetan, Kukreja, Vinay, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tavares, João Manuel R. S., editor, Dutta, Paramartha, editor, Dutta, Soumi, editor, and Samanta, Debabrata, editor

Published
2022
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