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50,679 results on '"Khurana A"'

211. DeepSee: Multidimensional Visualizations of Seabed Ecosystems.

Author

Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. Caress, Eric J. Martin, Jennifer B. Paduan, Maggie Hendrie, Santiago V. Lombeyda, Hillary Mushkin, Alex Endert, Scott Davidoff, and Victoria J. Orphan

Published
2024
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212. Quantum-Enhanced Cognitive Systems: Harnessing Parameterized Quantum Circuits for Advanced Machine Learning Applications

Author

Namdeo, Sachin, Khurana, Sachin, Nene, Manisha J., Rocha, Álvaro, Series Editor, Hameurlain, Abdelkader, Editorial Board Member, Idri, Ali, Editorial Board Member, Vaseashta, Ashok, Editorial Board Member, Dubey, Ashwani Kumar, Editorial Board Member, Montenegro, Carlos, Editorial Board Member, Laporte, Claude, Editorial Board Member, Moreira, Fernando, Editorial Board Member, Peñalvo, Francisco, Editorial Board Member, Dzemyda, Gintautas, Editorial Board Member, Mejia-Miranda, Jezreel, Editorial Board Member, Hall, Jon, Editorial Board Member, Piattini, Mário, Editorial Board Member, Holanda, Maristela, Editorial Board Member, Tang, Mincong, Editorial Board Member, Ivanovíc, Mirjana, Editorial Board Member, Muñoz, Mirna, Editorial Board Member, Kanth, Rajeev, Editorial Board Member, Anwar, Sajid, Editorial Board Member, Herawan, Tutut, Editorial Board Member, Colla, Valentina, Editorial Board Member, Devedzic, Vladan, Editorial Board Member, Ragavendiran, S. D. Prabu, editor, Pavaloaia, Vasile Daniel, editor, Mekala, M. S., editor, and Cabezuelo, Antonio Sarasa, editor

Published
2024
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213. Chlor-Alkali Waste in the Production of Wall Tiles: A Sustainable Approach

Author

Tyagi, Charu, Gupta, Tejendra K., Khurana, Parul, Sharma, Aarti, Singh, Arvind, Thatai, Sheenam, Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Rattan, Sunita, editor, Gupta, Bhuvanesh, editor, Jeyaseelan, Christine, editor, and Gupta, Anita, editor

Published
2024
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214. Deployment of Solar Energy Concentrators Across the Globe

Author

Roshni, Sanjyotpote, Gupta, Anita, Khurana, Parul, Thatai, Sheenam, Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Rattan, Sunita, editor, Gupta, Bhuvanesh, editor, Jeyaseelan, Christine, editor, and Gupta, Anita, editor

Published
2024
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215. Analyzing of 6-APA for Synthesis of Amoxicillin

Author

Sharma, Ankita, Thakur, Sanjeev, Gupta, Tejendra K., Khurana, Parul, Thatai, Sheenam, Ghosh, Arindam, Series Editor, Chua, Daniel, Series Editor, de Souza, Flavio Leandro, Series Editor, Aktas, Oral Cenk, Series Editor, Han, Yafang, Series Editor, Gong, Jianghong, Series Editor, Jawaid, Mohammad, Series Editor, Rattan, Sunita, editor, Gupta, Bhuvanesh, editor, Jeyaseelan, Christine, editor, and Gupta, Anita, editor

Published
2024
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217. Leveraging Computer Vision for Gender, Age, and Ethnicity Prediction Using Deep CNN

Author

Khurana, Yashika, Gupta, Shruti, Sood, Aditi, Gupta, Deepak, Sagar, Kalpna, Shivani, Celebi, Emre, Series Editor, Chen, Jingdong, Series Editor, Gopi, E. S., Series Editor, Neustein, Amy, Series Editor, Liotta, Antonio, Series Editor, Di Mauro, Mario, Series Editor, Singh, Pradeep Kumar, editor, Trovati, Marcello, editor, Murtagh, Fionn, editor, Atiquzzaman, Mohammed, editor, and Farid, Mohsen, editor

Published
2024
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218. Echo State Networks for Cryptography: A Novel Framework for Key Generation and Secure Communication

Author

Srivastava, Aviral, Sanghavi, Priyansh, Parmar, Viral, Khurana, Kartik, 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, Kumar, Rajesh, editor, Verma, Ajit Kumar, editor, Verma, Om Prakash, editor, and Wadehra, Tanu, editor

Published
2024
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219. Transmedia-Enhanced Pedagogic Cyber-Physical Systems via Quality of Service and Quality of Experience

Author

Estrela, Vânia Vieira, de Jesus, Maria Aparecida, laghari, Asif Ali, Khan, Abdullah Ayub, Khurana, Mehak, Howlett, Robert J., Series Editor, Jain, Lakhmi C., Series Editor, Iano, Yuzo, editor, Saotome, Osamu, editor, Kemper Vásquez, Guillermo Leopoldo, editor, de Moraes Gomes Rosa, Maria Thereza, editor, Arthur, Rangel, editor, and Gomes de Oliveira, Gabriel, editor

Published
2024
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220. Comparison of Sensor-MAC (S-MAC), Timeout-MAC (T-MAC), Berkeley-MAC (B-MAC), and Modified ML-MAC (L-MAC) for Wireless Sensor Networks

Author

Dhaka, Raghuveer Singh, Khurana, Manju, Lamba, Sonu, 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, Pastor-Escuredo, David, editor, Brigui, Imene, editor, Kesswani, Nishtha, editor, Bordoloi, Sushanta, editor, and Ray, Ashok Kumar, editor

Published
2024
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221. Heel Pain

Author

Khurana, Ankit, Vellaipandi, Venkataram, Sharma, Siddhartha, editor, Karaismailoglu, Bedri, editor, and Ashkani-Esfahani, Soheil, editor

Published
2024
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222. Achilles Tendon Disorders

Author

Vellaipandi, Venkataram, Khurana, Ankit, Sharma, Siddhartha, editor, Karaismailoglu, Bedri, editor, and Ashkani-Esfahani, Soheil, editor

Published
2024
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224. Fault Prediction in Software Systems Using Saliency Maps in Machine Learning

Author

Dangi, Sumedha, Kumar, Deepak, Khurana, Vipin, 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, Pant, Millie, editor, Deep, Kusum, editor, and Nagar, Atulya, editor

Published
2024
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226. Reliability-Based Load Balancing Algorithm in Cloud Environment for Manufacturing Sector

Author

Sharma, Gaurav, Chaudhary, Meenakshi, Sharma, Bhawna, Juneja, Vikas, Khurana, Savita, Phanden, Rakesh Kumar, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Tolio, Tullio A. M., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Schmitt, Robert, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Kumar, Ravinder, editor, Phanden, Rakesh Kumar, editor, Tyagi, R. K., editor, and Ramkumar, J., editor

Published
2024
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228. Mathematical Models and Computational Approaches for Assessing Water Quality in Rural Area of India

Author

Kumar, Deepak, Khurana, Pooja, Kumar, Devender, Singh, V. P., Editor-in-Chief, Berndtsson, R., Editorial Board Member, Rodrigues, L. N., Editorial Board Member, Sarma, Arup Kumar, Editorial Board Member, Sherif, M. M., Editorial Board Member, Sivakumar, B., Editorial Board Member, Zhang, Q., Editorial Board Member, Yadav, Akhilesh Kumar, editor, Yadav, Kanchan, editor, and Singh, Vijay P., editor

Published
2024
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231. Software with Certified Deletion

Author

Bartusek, James, Goyal, Vipul, Khurana, Dakshita, Malavolta, Giulio, Raizes, Justin, Roberts, Bhaskar, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Joye, Marc, editor, and Leander, Gregor, editor

Published
2024
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234. The Resilience Trio: Self-kindness, Humanity, and Courage in Coping with Isolation

Author

Khurana, Rahul, Rangnekar, Santosh, Sushil, Series Editor, Chroust, Gerhard, Editorial Board Member, Connell, Julia, Editorial Board Member, Evans, Stuart, Editorial Board Member, Fujiwara, Takao, Editorial Board Member, C. Jackson OBE, Mike, Editorial Board Member, Jain, Rashmi, Editorial Board Member, Palanisamy, Ramaraj, Editorial Board Member, A. Stohr, Edward, Editorial Board Member, Rani, Neelam, editor, and Joshi, Rohit, editor

Published
2024
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235. Nanomaterial-Based Sensors for Macrolide Sensing

Author

Hasaneen, Noha, Khurana, Pratishtha, Pulicharla, Rama, Rezai, Pouya, Brar, Satinder Kaur, Öchsner, Andreas, Series Editor, da Silva, Lucas F. M., Series Editor, Altenbach, Holm, Series Editor, Mohanta, Dambarudhar, editor, and Chakraborty, Purushottam, editor

Published
2024
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237. The Impact of Financial Ratios and Pandemic on Firm Performance: An Indian Economic Study

Author

Khurana, Manpreet Kaur, Sharma, Shweta, Bhargava, Navneet, 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, Sharma, Harish, editor, Chakravorty, Antorweep, editor, Hussain, Shahid, editor, and Kumari, Rajani, editor

Published
2024
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239. Metaverse Adaptability in Theory Context

Author

Gawshinde, Shanul, Al-Aflak, Aamer, Khurana, Ajay, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Carette, Jacques, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Stettner, Lukasz, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Rettberg, Achim, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Sharma, Sujeet K., editor, Dwivedi, Yogesh K., editor, Metri, Bhimaraya, editor, Lal, Banita, editor, and Elbanna, Amany, editor

Published
2024
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240. Online Dominating Set and Coloring

Author

De, Minati, Khurana, Sambhav, Singh, Satyam, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Wu, Weili, editor, and Guo, Jianxiong, editor

Published
2024
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244. A pesticide and iPSC dopaminergic neuron screen identifies and classifies Parkinson-relevant pesticides.

Author

Paul, Kimberly C, Krolewski, Richard C, Lucumi Moreno, Edinson, Blank, Jack, Holton, Kristina M, Ahfeldt, Tim, Furlong, Melissa, Yu, Yu, Cockburn, Myles, Thompson, Laura K, Kreymerman, Alexander, Ricci-Blair, Elisabeth M, Li, Yu Jun, Patel, Heer B, Lee, Richard T, Bronstein, Jeff, Rubin, Lee L, Khurana, Vikram, and Ritz, Beate

Subjects
Humans, Parkinson Disease, Neurodegenerative Diseases, Pesticides, Induced Pluripotent Stem Cells, Dopaminergic Neurons, Neurosciences, Stem Cell Research - Induced Pluripotent Stem Cell, Prevention, Rural Health, Brain Disorders, Stem Cell Research - Induced Pluripotent Stem Cell - Human, Stem Cell Research, Parkinson's Disease, Neurodegenerative, Aging, Climate-Related Exposures and Conditions, Aetiology, 2.1 Biological and endogenous factors, Neurological
Abstract

Parkinson's disease (PD) is a complex neurodegenerative disease with etiology rooted in genetic vulnerability and environmental factors. Here we combine quantitative epidemiologic study of pesticide exposures and PD with toxicity screening in dopaminergic neurons derived from PD patient induced pluripotent stem cells (iPSCs) to identify Parkinson's-relevant pesticides. Agricultural records enable investigation of 288 specific pesticides and PD risk in a comprehensive, pesticide-wide association study. We associate long-term exposure to 53 pesticides with PD and identify co-exposure profiles. We then employ a live-cell imaging screening paradigm exposing dopaminergic neurons to 39 PD-associated pesticides. We find that 10 pesticides are directly toxic to these neurons. Further, we analyze pesticides typically used in combinations in cotton farming, demonstrating that co-exposures result in greater toxicity than any single pesticide. We find trifluralin is a driver of toxicity to dopaminergic neurons and leads to mitochondrial dysfunction. Our paradigm may prove useful to mechanistically dissect pesticide exposures implicated in PD risk and guide agricultural policy.

Published
2023

246. Background Determination for the LUX-ZEPLIN (LZ) Dark Matter Experiment

Author

Aalbers, J., Akerib, D. S., Musalhi, A. K. Al, Alder, F., Alsum, S. K., Amarasinghe, C. S., Ames, A., Anderson, T. J., Angelides, N., Araújo, H. M., Armstrong, J. E., Arthurs, M., Baker, A., Bang, J., Bargemann, J. W., Baxter, A., Beattie, K., Beltrame, P., Bernard, E. P., Bhatti, A., Biekert, A., Biesiadzinski, T. P., Birch, H. J., Blockinger, G. M., Boxer, B., Brew, C. A. J., Brás, P., Burdin, S., Buuck, M., Cabrita, R., Carmona-Benitez, M. C., Chan, C., Chawla, A., Chen, H., Chiang, A. P. S., Chott, N. I., Converse, M. V., Cottle, A., Cox, G., Creaner, O., Dahl, C. E., David, A., Dey, S., de Viveiros, L., Ding, C., Dobson, J. E. Y., Druszkiewicz, E., Eriksen, S. R., Fan, A., Fearon, N. M., Fiorucci, S., Flaecher, H., Fraser, E. D., Fruth, T., Gaitskell, R. J., Genovesi, J., Ghag, C., Gibbons, R., Gilchriese, M. G. D., Gokhale, S., Green, J., van der Grinten, M. G. D., Gwilliam, C. B., Hall, C. R., Han, S., Hartigan-O'Connor, E., Haselschwardt, S. J., Hertel, S. A., Heuermann, G., Horn, M., Huang, D. Q., Hunt, D., Ignarra, C. M., Jacobsen, R. G., Jahangir, O., James, R. S., Johnson, J., Kaboth, A. C., Kamaha, A. C., Khaitan, D., Khurana, I., Kirk, R., Kodroff, D., Korley, L., Korolkova, E. V., Kraus, H., Kravitz, S., Kreczko, L., Krikler, B., Kudryavtsev, V. A., Leason, E. A., Lee, J., Leonard, D. S., Lesko, K. T., Levy, C., Lin, J., Lindote, A., Linehan, R., Lippincott, W. H., Liu, X., Lopes, M. I., Asamar, E. Lopez, Paredes, B. López, Lorenzon, W., Lu, C., Luitz, S., Majewski, P. A., Manalaysay, A., Mannino, R. L., Marangou, N., McCarthy, M. E., McKinsey, D. N., McLaughlin, J., Miller, E. H., Mizrachi, E., Monte, A., Monzani, M. E., Mendoza, J. D. Morales, Morrison, E., Mount, B. J., Murdy, M., Murphy, A. St. J., Naim, D., Naylor, A., Nedlik, C., Nelson, H. N., Neves, F., Nguyen, A., Nikoleyczik, J. A., Olcina, I., Oliver-Mallory, K. C., Orpwood, J., Palladino, K. J., Palmer, J., Parveen, N., Patton, S. J., Penning, B., Pereira, G., Perry, E., Pershing, T., Piepke, A., Porzio, D., Poudel, S., Qie, Y., Reichenbacher, J., Rhyne, C. A., Riffard, Q., Rischbieter, G. R. C., Riyat, H. S., Rosero, R., Rossiter, P., Rushton, T., Santone, D., Sazzad, A. B. M. R., Schnee, R. W., Shaw, S., Shutt, T., Silk, J. J., Silva, C., Sinev, G., Smith, R., Solmaz, M., Solovov, V. N., Sorensen, P., Soria, J., Stancu, I., Stevens, A., Stifter, K., Suerfu, B., Sumner, T. J., Swanson, N., Szydagis, M., Taylor, R., Taylor, W. C., Temples, D. J., Terman, P. A., Tiedt, D. R., Timalsina, M., Tong, Z., Tovey, D. R., Tranter, J., Trask, M., Tripathi, M., Tronstad, D. R., Turner, W., Utku, U., Vaitkus, A. C., Wang, A., Wang, J. J., Wang, W., Wang, Y., Watson, J. R., Webb, R. C., Whitis, T. J., Williams, M., Wolfs, F. L. H., Woodford, S., Woodward, D., Wright, C. J., Xia, Q., Xiang, X., Xu, J., and Yeh, M.

Subjects
High Energy Physics - Experiment, Physics - Instrumentation and Detectors
Abstract

The LUX-ZEPLIN experiment recently reported limits on WIMP-nucleus interactions from its initial science run, down to $9.2\times10^{-48}$ cm$^2$ for the spin-independent interaction of a 36 GeV/c$^2$ WIMP at 90% confidence level. In this paper, we present a comprehensive analysis of the backgrounds important for this result and for other upcoming physics analyses, including neutrinoless double-beta decay searches and effective field theory interpretations of LUX-ZEPLIN data. We confirm that the in-situ determinations of bulk and fixed radioactive backgrounds are consistent with expectations from the ex-situ assays. The observed background rate after WIMP search criteria were applied was $(6.3\pm0.5)\times10^{-5}$ events/keV$_{ee}$/kg/day in the low-energy region, approximately 60 times lower than the equivalent rate reported by the LUX experiment., Comment: 25 pages, 15 figures

Published
2022
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247. Energetic electron precipitation driven by electromagnetic ion cyclotron waves from ELFIN's low altitude perspective

Author

Angelopoulos, V., Zhang, X. -J., Artemyev, A. V., Mourenas, D., Tsai, E., Wilkins, C., Runov, A., Liu, J., Turner, D. L., Li, W., Khurana, K., Wirz, R. E., Sergeev, V. A., Meng, X., Wu, J., Hartinger, M. D., Raita, T., Shen, Y., An, X., Shi, X., Bashir, M. F., Shen, X., Gan, L., Qin, M., Capannolo, L., Ma, Q., Russell, C. L., Masongsong, E. V., Caron, R., He, I., Iglesias, L., Jha, S., King, J., Kumar, S., Le, K., Mao, J., McDermott, A., Nguyen, K., Norris, A., Palla, A., Roosnovo, Tam, J., Xie, E., Yap, R. C., Ye, S., Young, C., Adair, L. A., Shaffer, C., Chung, M., Cruce, P., Lawson, M., Leneman, D., Allen, M., Anderson, M., Arreola-Zamora, M., Artinger, J., Asher, J., Branchevsky, D., Cliffe, M., Colton, K., Costello, C., Depe, D., Domae, B. W., Eldin, S., Fitzgibbon, L., Flemming, A., Frederick, D. M., Gilbert, A., Hesford, B., Krieger, R., Lian, K., McKinney, E., Miller, J. P., Pedersen, C., Qu, Z., Rozario, R., Rubly, M., Seaton, R., Subramanian, A., Sundin, S. R., Tan, A., Thomlinson, D., Turner, W., Wing, G., Wong, C., and Zarifian, A.

Subjects
Physics - Space Physics, Physics - Plasma Physics
Abstract

We review comprehensive observations of electromagnetic ion cyclotron (EMIC) wave-driven energetic electron precipitation using data from the energetic electron detector on the Electron Losses and Fields InvestigatioN (ELFIN) mission, two polar-orbiting low-altitude spinning CubeSats, measuring 50-5000 keV electrons with good pitch-angle and energy resolution. EMIC wave-driven precipitation exhibits a distinct signature in energy-spectrograms of the precipitating-to-trapped flux ratio: peaks at 0.5 MeV which are abrupt (bursty) with significant substructure (occasionally down to sub-second timescale). Multiple ELFIN passes over the same MLT sector allow us to study the spatial and temporal evolution of the EMIC wave - electron interaction region. Using two years of ELFIN data, we assemble a statistical database of 50 events of strong EMIC wave-driven precipitation. Most reside at L=5-7 at dusk, while a smaller subset exists at L=8-12 at post-midnight. The energies of the peak-precipitation ratio and of the half-peak precipitation ratio (our proxy for the minimum resonance energy) exhibit an L-shell dependence in good agreement with theoretical estimates based on prior statistical observations of EMIC wave power spectra. The precipitation ratio's spectral shape for the most intense events has an exponential falloff away from the peak (i.e., on either side of 1.45 MeV). It too agrees well with quasi-linear diffusion theory based on prior statistics of wave spectra. Sub-MeV electron precipitation observed concurrently with strong EMIC wave-driven 1MeV precipitation has a spectral shape that is consistent with efficient pitch-angle scattering down to 200-300 keV by much less intense higher frequency EMIC waves. These results confirm the critical role of EMIC waves in driving relativistic electron losses. Nonlinear effects may abound and require further investigation.

Published
2022
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248. On Unsupervised Uncertainty-Driven Speech Pseudo-Label Filtering and Model Calibration

Author

Dawalatabad, Nauman, Khurana, Sameer, Laurent, Antoine, and Glass, James

Subjects
Electrical Engineering and Systems Science - Audio and Speech Processing, Computer Science - Artificial Intelligence, Computer Science - Machine Learning
Abstract

Pseudo-label (PL) filtering forms a crucial part of Self-Training (ST) methods for unsupervised domain adaptation. Dropout-based Uncertainty-driven Self-Training (DUST) proceeds by first training a teacher model on source domain labeled data. Then, the teacher model is used to provide PLs for the unlabeled target domain data. Finally, we train a student on augmented labeled and pseudo-labeled data. The process is iterative, where the student becomes the teacher for the next DUST iteration. A crucial step that precedes the student model training in each DUST iteration is filtering out noisy PLs that could lead the student model astray. In DUST, we proposed a simple, effective, and theoretically sound PL filtering strategy based on the teacher model's uncertainty about its predictions on unlabeled speech utterances. We estimate the model's uncertainty by computing disagreement amongst multiple samples drawn from the teacher model during inference by injecting noise via dropout. In this work, we show that DUST's PL filtering, as initially used, may fail under severe source and target domain mismatch. We suggest several approaches to eliminate or alleviate this issue. Further, we bring insights from the research in neural network model calibration to DUST and show that a well-calibrated model correlates strongly with a positive outcome of the DUST PL filtering step.

Published
2022

249. Smooth Anosov Katok Diffeomorphisms With Generic Measure

Author

Khurana, Divya

Subjects
Mathematics - Dynamical Systems
Abstract

We construct a plethora of Anosov-Katok diffeomorphisms with non-ergodic generic measures and various other mixing and topological properties. We also construct an explicit collection of the set containing the generic points of the system with interesting values of its Hausdorff dimension.

Published
2022

250. Self Similarity Matrix based CNN Filter Pruning

Author

Rakshith, S, Vachhani, Jayesh Rajkumar, Gothe, Sourabh Vasant, and Khurana, Rishabh

Subjects
Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition
Abstract

In recent years, most of the deep learning solutions are targeted to be deployed in mobile devices. This makes the need for development of lightweight models all the more imminent. Another solution is to optimize and prune regular deep learning models. In this paper, we tackle the problem of CNN model pruning with the help of Self-Similarity Matrix (SSM) computed from the 2D CNN filters. We propose two novel algorithms to rank and prune redundant filters which contribute similar activation maps to the output. One of the key features of our method is that there is no need of finetuning after training the model. Both the training and pruning process is completed simultaneously. We benchmark our method on two of the most popular CNN models - ResNet and VGG and record their performance on the CIFAR-10 dataset., Comment: Paper accepted in the 7th International Conference on Computer Vision & Image Processing (2022)

Published
2022

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