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487 results on '"Agrawal, Sachin"'

4. Super Resolution-Based Channel Estimation

Author

Agrawal, Sachin, Agrasen, Pratham, Kumar Shah, Praveen, Bendi, Madhuri, 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, Bansal, Hari Om, editor, Ajmera, Pawan K., editor, Joshi, Sandeep, editor, Bansal, Ramesh C., editor, and Shekhar, Chandra, editor

Published
2023
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9. Average of objectives method to solve MOTP.

Author

Singh, Khilendra, Agrawal, Sachin Kumar, and Awasthi, Pratosh Kumar

Subjects
*PARETO optimum, *BUSINESSPEOPLE, *PROBLEM solving
Abstract

For a businessperson, transportation is a fairly regular issue. Every businessperson wants to cut transportation costs, time, distance, etc. There are various approaches for solving transportation problems with a single goal, however, transportation problems are not usually solved with a single goal. A typical assignment is to solve a transportation problem with many objectives. In this study, we investigated an innovative strategy for solving multi-criteria TP called the Average of Objectives Method for Solving Multi-Objective TP. We tackled the problem of transportation (TP) with four goals. We calculated the average of the objectives and applied our technique. A procedure was also employed to find out the pareto optimum solution. The present method produces superior objective measures over alternate techniques. To illustrate the idea, two numerical examples are given, as well as a comparison to several current methods. [ABSTRACT FROM AUTHOR]

Published
2025
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10. Unveiling the mysteries of vedic mathematics: A comprehensive study.

Author

Agrawal, Sachin Kumar, Agarwal, Manuj Kumar, Singh, Khilendra, Awasthi, Pratosh Kumar, Kumar, Harendra, and Rohela, Navneet

Subjects
*MATHEMATICAL simplification, *MATHEMATICS, *EVERYDAY life, *WORD problems (Mathematics)
Abstract

Vedic Mathematics, an ancient Indian system of mathematics, offers a unique and efficient approach to solving mathematical problems. This paper explores the principles of Vedic Mathematics and its relevance and importance in modern daily life. It discusses how Vedic Mathematics can enhance mental math skills, improve problem-solving abilities, and streamline calculations in various aspects of daily life, including education, finance, and professional endeavors. Through a review of literature and practical examples, this paper demonstrates the practicality and effectiveness of Vedic Mathematics in simplifying complex computations and fostering an in-depth understanding of topics pertaining to mathematics. [ABSTRACT FROM AUTHOR]

Published
2025
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11. AHP-based Identification of Tools for Sustainable Product Development

Author

Saraf, Chinmay, Agrawal, Sachin, Barodiya, Dharmesh, Shrivastava, Pankaj, Verma, Tikendra Nath, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, di Mare, Francesca, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, Verma, Puneet, editor, Samuel, Olusegun D., editor, Verma, Tikendra Nath, editor, and Dwivedi, Gaurav, editor

Published
2022
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13. Developing a Diagnostic Multivariable Prediction Model for Urinary Tract Cancer in Patients Referred with Haematuria: Results from the IDENTIFY Collaborative Study

Author

Chaudry, Aasem, Sharma, Abhishek, Bennett, Adam, Ahmad, Adnan, Abroaf, Ahmed, Suliman, Ahmed Musa, Lloyd, Aimee, McKay, Alastair, Wong, Albert, Silva, Alberto, Schneider, Alexandre, MacKay, Alison, Knight, Allen, Grigorakis, Alkiviadis, Bdesha, Amar, Nagle, Amy, Cebola, Ana, Dhanasekaran, Ananda Kumar, Kondža, Andraž, Barcelos, André, Galosi, Andrea Benedetto, Ebur, Andrea, Minervini, Andrea, Russell, Andrew, Webb, Andrew, de Jalón, Ángel García, Desai, Ankit, Czech, Anna Katarzyna, Mainwaring, Anna, Adimonye, Anthony, Das, Arighno, Figueiredo, Arnaldo, Villers, Arnauld, Leminski, Artur, Chippagiri, Arvinda, Lal, Asim Ahmed, Yıldırım, Asıf, Voulgaris, Athanasios Marios, Uzan, Audrey, Oo, Aye Moh Moh, Younis, Ayman, Zelhof, Bachar, Mukhtar, Bashir, Ayres, Ben, Challacombe, Ben, Sherwood, Benedict, Ristau, Benjamin, Lai, Billy, Nellensteijn, Brechtje, Schreiter, Brielle, Trombetta, Carlo, Dowling, Catherine, Hobbs, Catherine, Benitez, Cayo Augusto Estigarribia, Lebacle, Cédric, Ho, Cherrie Wing Yin, Ng, Chi-Fai, Mount, Chloe, Lam, Chon Meng, Blick, Chris, Brown, Christian, Gallegos, Christopher, Higgs, Claire, Browne, Clíodhna, McCann, Conor, Plaza Alonso, Cristina, Beder, Daniel, Cohen, Daniel, Gordon, Daniel, Wilby, Daniel, Gordon, Danny, Hrouda, David, Lau, David Hua Wu, Karsza, Dávid, Mak, David, Martin-Way, David, Suthaharan, Denula, Patel, Dhruv, Carrion, Diego M, Nyanhongo, Donald, Bass, Edward, Mains, Edward, Chau, Edwin, Canelon Castillo, Elba, Day, Elizabeth, Desouky, Elsayed, Gaines, Emily, Papworth, Emma, Yuruk, Emrah, Kilic, Enes, Dinneen, Eoin, Palagonia, Erika, Xylinas, Evanguelos, Khawaja, Faizan, Cimarra, Fernando, Bardet, Florian, Kum, Francesca, Peters, Francesca, Kovács, Gábor, Tanasescu, Geroge, Hellawell, Giles, Tasso, Giovanni, Lam, Gitte, La Montagna, Giuseppe, Pizzuto, Giuseppe, Lenart, Gordan, MacLennan, Graeme, Özgür, Günal, Bi, Hai, Lyons, Hannah, Warren, Hannah, Ahmed, Hashim, Simpson, Helen, Burden, Helena, Gresty, Helena, Rios Pita, Hernado, Clarke, Holly, Serag, Hosam, Kynaston, Howard, Crawford-Smith, Hugh, Mostafid, Hugh, Otaola-Arca, Hugo, Koo, Hui Fen, Ibrahim, Ibrahim, Ouzaid, Idir, Puche-Sanz, Ignacio, Tomašković, Igor, Tinay, Ilker, Sahibzada, Iqbal, Thangasamy, Isaac, Cadena, Iván Revelo, Irani, Jacques, Udzik, Jakub, Brittain, James, Catto, James, Green, James, Tweedle, James, Hernando, Jamie Borrego, Leask, Jamie, Kalsi, Jas, Frankel, Jason, Toniolo, Jason, Raman, Jay D., Courcier, Jean, Kumaradeevan, Jeevan, Clark, Jennifer, Jones, Jennifer, Teoh, Jeremy Yuen-Chun, Iacovou, John, Kelly, John, Selph, John P., Aning, Jonathan, Deeks, Jon, Cobley, Jonathan, Olivier, Jonathan, Maw, Jonny, Herranz-Yagüe, José Antonio, Nolazco, Jose Ignacio, Cózar-Olmo, Jose Manuel, Bagley, Joseph, Jelski, Joseph, Norris, Joseph, Testa, Joseph, Meeks, Joshua, Hernandez, Juan, Vásquez, Juan Luis, Randhawa, Karen, Dhera, Karishma, Gronostaj, Katarzyna, Houlton, Kathleen, Lehman, Kathleen, Gillams, Kathryn, Adasonla, Kelvin, Brown, Kevin, Murtagh, Kevin, Mistry, Kiki, Davenport, Kim, Kitamura, Kosuke, Derbyshire, Laura, Clarke, Laurence, Morton, Lawrie, Martinez, Levin, Goldsmith, Louise, Paramore, Louise, Cormier, Luc, Dell'Atti, Lucio, Simmons, Lucy, Martinez-Piñeiro, Luis, Rico, Luis, Chan, Luke, Forster, Luke, Ma, Lulin, Moore, Madeline, Gallego, Maria Camacho, Freire, Maria José, Emberton, Mark, Feneley, Mark, Antón-Juanilla, Marta, Rivero, Marta Viridiana Muñoz, Pirša, Matea, Tallè, Matteo, Crockett, Matthew, Liew, Matthew, Trail, Matthew, Peters, Max, Cooper, Meghan, Kulkarni, Meghana, Ager, Michael, He, Ming, Li, Mo, Omran Breish, Mohamed, Tarin, Mohamed, Aldiwani, Mohammed, Matanhelia, Mudit, Pasha, Muhammad, Akalın, Mustafa Kaan, Abdullah, Nasreen, Hale, Nathan, Gadiyar, Neha, Kocher, Neil, Bullock, Nicholas, Campain, Nicholas, Pavan, Nicola, Al-Ibraheem, Nihad, Bhatt, Nikita, Bedi, Nishant, Shrotri, Nitin, Lobo, Niyati, Balderas, Olga, Kouli, Omar, Capoun, Otakar, Oteo Manjavacas, Pablo, Gontero, Paolo, Mariappan, Paramananthan, Marchiñena, Patricio Garcia, Erotocritou, Paul, Sweeney, Paul, Planelles, Paula, Acher, Peter, Black, Peter C., Osei-Bonsu, Peter K, Østergren, Peter, Smith, Peter, Willemse, Peter-Paul Michiel, Chlosta, Piotr L., Ul Ain, Qurrat, Barratt, Rachel, Esler, Rachel, Khalid, Raihan, Hsu, Ray, Stamirowski, Remigiusz, Mangat, Reshma, Cruz, Ricardo, Ellis, Ricky, Adams, Robert, Hessell, Robert, Oomen, Robert J.A., McConkey, Robert, Ritchie, Robert, Jarimba, Roberto, Chahal, Rohit, Andres, Rosado Mario, Hawkins, Rosalyn, David, Rotimi, Manecksha, Rustom P., Agrawal, Sachin, Hamid, Syed Sami, Deem, Samuel, Goonewardene, Sanchia, Swami, Satchi Kuchibhotla, Hori, Satoshi, Khan, Shahid, Mohammud Inder, Shakeel, Sangaralingam, Shanthi, Marathe, Shekhar, Raveenthiran, Sheliyan, Horie, Shigeo, Sengupta, Shomik, Parson, Sian, Parker, Sidney, Hawlina, Simon, Williams, Simon, Mazzoli, Simone, Grzegorz Kata, Slawomir, Pinheiro Lopes, Sofia, Ramos, Sónia, Rai, Sonpreet, Rintoul-Hoad, Sophie, O'Meara, Sorcha, Morris, Steve, Turner, Stacey, Venturini, Stefano, Almpanis, Stephanos, Joniau, Steven, Jain, Sunjay, Mallett, Susan, Nikles, Sven, Shahzad, Yan, Sylvia, Lee, Taeweon, Uçar, Taha, Drake, Tamsin, Toma, Tarq, Cabañuz Plo, Teresa, Bonnin, Thierry, Muilwijk, Tim, Wollin, Tim, Chu, Timothy Shun Man, Appanna, Timson, Brophy, Tom, Ellul, Tom, Austin, Tomas, Smrkolj, Tomaž, Rowe, Tracey, Sukhu, Troy, Patel, Trushar, Garg, Tullika, Çaşkurlu, Turhan, Bele, Uros, Haroon, Usman, Crespo-Atín, Víctor, Parejo Cortes, Victor, Capapé Poves, Victoria, Gnanapragasam, Vincent, Gauhar, Vineet, During, Vinnie, Kumar, Vivek, Fiala, Vojtech, Mahmalji, Wasim, Lam, Wayne, Fung Chin, Yew, Filtekin, Yigit, Chyn Phan, Yih, Ibrahim, Youssed, Glaser, Zachary A, Abiddin, Zainal Adwin, Qin, Zijian, Zotter, Zsuzsanna, Zainuddin, Zulkifli, Khadhouri, Sinan, Gallagher, Kevin M., MacKenzie, Kenneth R., Shah, Taimur T., Gao, Chuanyu, Moore, Sacha, Zimmermann, Eleanor F., Edison, Eric, Jefferies, Matthew, Nambiar, Arjun, Anbarasan, Thineskrishna, Mannas, Miles P., Marra, Giancarlo, Gómez Rivas, Juan, Marcq, Gautier, Assmus, Mark A., Claps, Francesco, Boltri, Matteo, Burnhope, Tara, Nkwam, Nkwam, Boxall, Nicholas E., Downey, Alison P., Sukhu, Troy A., Chin, Yew-Fung, Green, James S.A., Goulao, Beatriz, Nielsen, Matthew, McGrath, John S., and Kasivisvanathan, Veeru

Published
2022
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16. Deep Learning Based Super Resolution Network for Channel Estimation.

Author

Madhuri, Bendi, Agrawal, Sachin, and Joshi, Sandeep

Subjects
*CONVOLUTIONAL neural networks, *CHANNEL estimation, *WIRELESS communications, *HIGH resolution imaging, *DEEP learning, *WIRELESS channels
Abstract

This paper proposes and investigates a deep learning-based channel estimation scheme for wireless communication system. In this approach, the channel response in pilot positions is considered a low-resolution image, which is further converted into a high-resolution image using the super-resolution (SR) network. It is observed that the proposed model shows an improvement of 50% and 42.5% as compared to the ChannelNet and super-resolution convolutional neural network, respectively, in the case of 16 pilots. The novelty of the proposed SR model is its low complexity, as it uses one model instead of two for channel estimation. Besides, the proposed SR model uses fewer pilots for channel estimation, making it bandwidth-efficient and fast. Furthermore, the proposed model is compared using extensive simulations for benchmarking. [ABSTRACT FROM AUTHOR]

Published
2024
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17. Coverage Probability Analysis of a Double IRS Assisted SISO Communication System.

Author

Agrawal, Sachin, Jindal, Prateek, Shashank Sai, Valasa, and Nayak, Jathod Hanumanth

Subjects
*RAYLEIGH fading channels, *TELECOMMUNICATION systems, *PROBABILITY theory
Abstract

Intelligent reflecting surface (IRS) improves wireless communication efficiency and coverage probability. Existing studies focus on IRS deployment but overlook optimal fading channels. This research aims to identify and analyze the most effective channel fading estimation for the double IRS system model. The coverage probability using two-IRS is derived under different fading channels like Rayleigh and Rician to find the optimal solution in a Single-Input-Single-Output (SISO) system. Additionally, a closed-form expression for the coverage probability using statistical channel state information is derived while assuming no direct path between the transmitter and receiver. The analytical results are validated through simulations. It offers valuable insights into the modeling and analysis of double IRS-assisted wireless communication systems. [ABSTRACT FROM AUTHOR]

Published
2024
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25. Vertically Stacked Stepped Oxide Split-Pocket VTFET as a Label Free Biosensor.

Author

Verma, Madhulika, Agrawal, Sachin, Sujal, and Meena, Mohit

Subjects
*FIELD-effect transistors, *BIOSENSORS, *INDIUM gallium zinc oxide, *THRESHOLD voltage, *OXIDES
Abstract

In this manuscript, a new vertically stacked GaSb-source stepped oxide split-pocket vertical dielectrically modulated tunnel field effect transistor (SOSPVDMTFET) is presented for the first time. The novelty of this device lies in its stepped oxides with full gate length cavity and n + split-pockets in source region. These design features significantly suppress the ambipolar current at drain/channel junction and improves the drain current (ION), subthreshold swing (SS), threshold voltage (Vth), and current ratio (Iratio). In addition, it enhances the RF parameters such as transconductance (gm), maximum cut-off frequency (fT), transit time (τ), and device efficiency. It is found that the drain current sensitivity of the proposed device is 3000 times higher than the work reported in [Theja and Panchore, "Performance investigation of GaSb/Si heterojunction based gate underlap and overlap vertical TFET biosensor," IEEE Trans. Nano Biosci., Vol. 22, no. 2, pp. 284–91, 2022]. Further, the behavior of biomolecules at different subcavity regions (R1, R2, R3) and cavity thickness has been investigated. The effect of non uniform distribution of biomolecule in cavity region is also discussed. [ABSTRACT FROM AUTHOR]

Published
2024
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26. A Design of Compact Planar Active-Integrated Inverted-F Antenna (AI-PIFA) for Mobile Handsets

Author

Gundumalla, Ashok, Agrawal, Sachin, Parihar, Manoj Singh, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Ruediger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Liang, Qilian, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zhang, Junjie James, Series Editor, Janyani, Vijay, editor, Tiwari, Manish, editor, Singh, Ghanshyam, editor, and Minzioni, Paolo, editor

Published
2018
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37. The Design and Investigation of a Super Wideband Antenna with Dual-Band Notch Characteristics for MIMO Application.

Author

Agrawal, Sachin and Parihar, Manoj Singh

Subjects
*MULTIFREQUENCY antennas, *ULTRA-wideband communication, *NOTCH filters, *ANTENNAS (Electronics), *IMPEDANCE matching, *MIMO systems
Abstract

A printed monopole super wideband (SWB) antenna is presented in this paper. It consists of a beveled-shaped radiator and a tapered ground plane. It is investigated that tapering of the radiator and ground plane enhances the impedance matching and results in broad impedance bandwidth. The experimental result depicts that the antenna achieved 164.9% impedance bandwidth from 2.6 to 27.27 GHz. Furthermore, to prevent the interference caused by communication systems within the ultra-wideband (UWB) range, dual-band rejection at Wi-MAX (2.7–4 GHz). and X-band (8.5–12 GHz) are introduced by etching an H-shape and two back-to-back C-shaped notches in the radiator and feedline, respectively. The measured result demonstrates that both slots effectively reject the desired frequency bands with a small shift in the lower frequency edge from 2.41 to 2.6 GHz. In addition, the proposed antenna application is shown in the two elements MIMO system where a bowtie decoupling structure is utilized to improve the isolation. It is found that the presence of a decoupling structure improves the isolation by up to 60%. To characterize the diversity performance, parameters such as Diversity Gain (DG), Envelop Correlation Coefficient (ECC), Channel Capacity Loss (CCL), and Mean Effective Gain (MEG) are calculated and all are found in the acceptable limit. [ABSTRACT FROM AUTHOR]

Published
2024
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