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5. Re-visiting Reservoir Computing architectures optimized by Evolutionary Algorithms

Author

Basterrech, Sebastián and Sharma, Tarun Kumar

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

For many years, Evolutionary Algorithms (EAs) have been applied to improve Neural Networks (NNs) architectures. They have been used for solving different problems, such as training the networks (adjusting the weights), designing network topology, optimizing global parameters, and selecting features. Here, we provide a systematic brief survey about applications of the EAs on the specific domain of the recurrent NNs named Reservoir Computing (RC). At the beginning of the 2000s, the RC paradigm appeared as a good option for employing recurrent NNs without dealing with the inconveniences of the training algorithms. RC models use a nonlinear dynamic system, with fixed recurrent neural network named the \textit{reservoir}, and learning process is restricted to adjusting a linear parametric function. %so the performance of learning is fast and precise. However, an RC model has several hyper-parameters, therefore EAs are helpful tools to figure out optimal RC architectures. We provide an overview of the results on the area, discuss novel advances, and we present our vision regarding the new trends and still open questions., Comment: Accepted manuscript to the 14th World Congress on Nature and Biologically Inspired Computing (NaBIC), Seattle, WA, United States, December 14-16, 2022. A revised manuscript will be published in the conference proceedings by Springer in the Lecture Notes in Networks and Systems

Published
2022

6. Performance Analysis of GIoU Loss Function for Object Tracking

Author

Verma, Sourabh, Verma, Om Prakash, Gupta, Himanshu, Sharma, Tarun Kumar, Muthanna, Ammar, 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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7. A Modified Honey Badger Algorithm with Logistic Map and Enhanced Exploitation

Author

Rajpurohit, Jitendra, Sharma, Tarun Kumar, Bhushan, Shashi, Sharma, Abhay, 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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9. India's first robotic eye for time domain astrophysics: the GROWTH-India telescope

Author

Kumar, Harsh, Bhalerao, Varun, Anupama, G. C., Barway, Sudhanshu, Basu, Judhajeet, Deshmukh, Kunal, De, Kishalay, Dutta, Anirban, Fremling, Christoffer, Iyer, Hrishikesh, Jassani, Adeem, Joharle, Simran, Karambelkar, Viraj, Khandagale, Maitreya, Krishna, K Adithya, Kulkarni, Sumeet, Mate, Sujay, Patil, Atharva, Phanindra, DVS, Samantaray, Subham, Sharma, Kritti, Sharma, Yashvi, Shenoy, Vedant, Singh, Avinash, Srivastava, Shubham, Swain, Vishwajeet, Waratkar, Gaurav, Angchuk, Dorje, Dorjay, Padma, Dorjai, Tsewang, Gyalson, Tsewang, Jorphail, Sonam, Mahay, Tashi Thsering, Norbu, Rigzin, Sharma, Tarun Kumar, Stanzin, Jigmet, Stanzin, Tsewang, and Stanzin, Urgain

Subjects
Astrophysics - Instrumentation and Methods for Astrophysics, Astrophysics - High Energy Astrophysical Phenomena
Abstract

We present the design and performance of the GROWTH-India telescope, a 0.7 m robotic telescope dedicated to time-domain astronomy. The telescope is equipped with a 4k back-illuminated camera giving a 0.82-degree field of view and sensitivity of m_g ~20.5 in 5-min exposures. Custom software handles observatory operations: attaining high on-sky observing efficiencies (>~ 80%) and allowing rapid response to targets of opportunity. The data processing pipelines are capable of performing PSF photometry as well as image subtraction for transient searches. We also present an overview of the GROWTH-India telescope's contributions to the studies of Gamma-ray Bursts, the electromagnetic counterparts to gravitational wave sources, supernovae, novae and solar system objects., Comment: 17 pages, 8 figures, Accepted for publication in The Astronomical Journal

Published
2022
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18. Filtering Noise in Time and Frequency Domain for Ultrafast Pump-Probe Performed Using Low Repetition Rate Lasers

Author

Khatua, Durga Prasad, Gurung, Sabina, Singh, Asha, Khan, Salahuddin, Sharma, Tarun Kumar, and Jayabalan, J.

Subjects
Physics - Optics, Condensed Matter - Materials Science, Physics - Instrumentation and Detectors
Abstract

Optical pump-probe spectroscopy is a powerful tool to directly probe the carrier dynamics in materials down to sub-femtosecond resolution. To perform such measurement, while keeping the pump induced perturbation to the sample as small as possible, it is essential to have a detection scheme with high signal to noise ratio. Achieving such high signal to noise ratio is easy with phase sensitive detection based on lock-in-amplifier when a high repetition rate laser is used as the optical pulse source. However such a lock-in-amplifier based method does not work well when a low repetition rate laser is used for the measurement. In this article, a sensitive detection scheme which combines the advantages of boxcar which rejects noise in time domain and lock-in-amplifier which isolates signal in frequency domain for performing pump-probe measurements using low-repetition rate laser system is proposed and experimentally demonstrated. A theoretical model to explain the process of signal detection and a method to reduce the pulse to pulse energy fluctuation in probe pulses is presented. By performing pump-probe measurements at various detection conditions the optimum condition required for obtaining transient absorption signal with low noise is presented. The reported technique is not limited to pump-probe measurements and can be easily modified to suite for other sensitive measurements at low-repetition rates., Comment: submitted to "Review of Scientific Instruments"

Published
2020

21. 6G-Enabled Internet of Medical Things

Author

Dhanda, Sumit Singh, Sharma, Tarun Kumar, Singh, Brahmjit, Jindal, Poonam, Panwar, Deepak, 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, Sharma, Tarun K., editor, Verma, Om Prakash, editor, and Sharma, Sanjay, editor

Published
2023
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22. CS-Jaya: Hybridization of Cuckoo and Jaya Algorithm

Author

Varshney, Megha, Kumar, Pravesh, Sharma, Tarun Kumar, 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, Sharma, Tarun K., editor, Verma, Om Prakash, editor, and Sharma, Sanjay, editor

Published
2023
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23. Re-visiting Reservoir Computing Architectures Optimized by Evolutionary Algorithms

Author

Basterrech, Sebastián, Sharma, Tarun Kumar, 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, Abraham, Ajith, editor, Hanne, Thomas, editor, Gandhi, Niketa, editor, Manghirmalani Mishra, Pooja, editor, Bajaj, Anu, editor, and Siarry, Patrick, editor

Published
2023
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24. Minimization of Trim Loss During Reel Cutting at Paper Mill by Using Different Optimization Algorithms

Author

Srivastava, Manish, Pati, Smitarani, Verma, Om Prakash, Sharma, Tarun Kumar, Gupta, Himanshu, Arya, Raj Kumar, Tiwari, Anurag Kumar, Sahu, Deepak, Cavas-Martínez, Francisco, Editorial Board Member, Chaari, Fakher, Series Editor, di Mare, Francesca, Editorial Board Member, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Editorial Board Member, Ivanov, Vitalii, Series Editor, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Manik, Gaurav, editor, Kalia, Susheel, editor, Verma, Om Prakash, editor, and Sharma, Tarun K., editor

Published
2023
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41. Towards the Real-Time Control of Nonlinear Multiple Stage Evaporators: Design of IMC with Process Delay

Author

Pachauri, Nikhil, Yadav, Drishti, Sharma, Tarun Kumar, Sharma, Varun, Verma, Om Prakash, Cavas-Martínez, Francisco, Series Editor, Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Haddar, Mohamed, Series Editor, Ivanov, Vitalii, Series Editor, Kwon, Young W., Series Editor, Trojanowska, Justyna, Series Editor, di Mare, Francesca, Series Editor, Manik, Gaurav, editor, Kalia, Susheel, editor, Sahoo, Sushanta Kumar, editor, Sharma, Tarun K., editor, and Verma, Om Prakash, editor

Published
2021
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