Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sen, Anuvab"'
Publikováno v:
2024 13th IEEE International Conference on Communication Systems and Network Technologies (CSNT 2024)
Exoplanets are celestial bodies orbiting stars beyond our Solar System. Although historically they posed detection challenges, Kepler's data has revolutionized our understanding. By analyzing flux values from the Kepler Mission, we investigate the in
Externí odkaz:
http://arxiv.org/abs/2406.07927
A number of life threatening neuro-degenerative disorders had degraded the quality of life for the older generation in particular. Dementia is one such symptom which may lead to a severe condition called Alzheimer's disease if not detected at an earl
Externí odkaz:
http://arxiv.org/abs/2401.09795
Autor:
Dhar, Sandipan, Sen, Anuvab, Bandyopadhyay, Aritra, Jana, Nanda Dulal, Ghosh, Arjun, Sarayloo, Zahra
Publikováno v:
Proceedings of the 15th International Joint Conference on Computational Intelligence (2023)
Speech Command Recognition (SCR), which deals with identification of short uttered speech commands, is crucial for various applications, including IoT devices and assistive technology. Despite the promise shown by Convolutional Neural Networks (CNNs)
Externí odkaz:
http://arxiv.org/abs/2310.08914
The Quantum Approximate Optimization Algorithm (QAOA) is one of the most promising Noisy Intermediate Quantum Algorithms (NISQ) in solving combinatorial optimizations and displays potential over classical heuristic techniques. Unfortunately, QAOA per
Externí odkaz:
http://arxiv.org/abs/2309.16796
Publikováno v:
Proceedings of 3rd Annual BRIC Symposium, 2023 McMaster University, Hamilton, Canada
Accurate load forecasting remains a formidable challenge in numerous sectors, given the intricate dynamics of dynamic power systems, which often defy conventional statistical models. As a response, time-series methodologies like ARIMA and sophisticat
Externí odkaz:
http://arxiv.org/abs/2309.13019
Autor:
Sen, Anuvab, Mazumder, Arul Rhik, Dutta, Dibyarup, Sen, Udayon, Syam, Pathikrit, Dhar, Sandipan
Publikováno v:
Proceedings of the 15th International Joint Conference on Computational Intelligence (2023)
Weather forecasting plays a vital role in numerous sectors, but accurately capturing the complex dynamics of weather systems remains a challenge for traditional statistical models. Apart from Auto Regressive time forecasting models like ARIMA, deep l
Externí odkaz:
http://arxiv.org/abs/2309.02600
Publikováno v:
14th IEEE International Symposium Series on Computational Intelligence (SSCI 2023)
Accurate load forecasting plays a vital role in numerous sectors, but accurately capturing the complex dynamics of dynamic power systems remains a challenge for traditional statistical models. For these reasons, time-series models (ARIMA) and deep-le
Externí odkaz:
http://arxiv.org/abs/2307.15299
Autor:
Kohei Arai
Explore the forefront of computing with the proceedings of the Computing Conference 2024. Featuring 165 carefully selected papers from a pool of 457 submissions, this collection encapsulates the cutting-edge research and innovation presented during t