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Akademický článek

Identification of High Energy Gamma Particles From the Cherenkov Gamma Telescope Data Using a Deep Learning Approach

Autor: K. Karthick, S. Akila Agnes, S. Sendil Kumar, Sultan Alfarhood, Mejdl Safran

Publikováno v: IEEE Access, Vol 12, Pp 16741-16752 (2024)

Atmospheric Cherenkov telescopes have enabled recent breakthroughs in gamma-ray astronomy, enabling the study of high-energy gamma particles in over 90 galactic and extragalactic regions. The significance of this work arises from the complexity of th

Externí odkaz: https://doaj.org/article/309b15b0093b462e9e090ef7018bc45b

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Improving EEG Electrode Sensitivity with Graphene Nano Powder and Neural Network for Schizophrenia Diagnosis

Autor: V. Divya, Dr. S. Sendil Kumar, S. Usha, S. Hemamalini, Gokula Krishnan

Publikováno v: Tikrit Journal of Engineering Sciences, Vol 30, Iss 1 (2023)

Hallucinations and delusions are symptoms of schizophrenia. Due to persistent auditory and visual hallucinations, a person with schizophrenia cannot process reality clearly. Abnormal brain activity results from delusion and hallucination. During the

Externí odkaz: https://doaj.org/article/76afb6e3dd654bfda8dde2e9e154820c

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Akademický článek

Audible pedestrian warning system using embedded system

Autor: T. Nalini, S. Sendil Velan, M. Shanmuganathan, K. Kajendran, P. Radhakrishnan

Publikováno v: Measurement: Sensors, Vol 25, Iss , Pp 100635- (2023)

Despite their low emissions, hybrid electric cars have caused concerns for the safety of other road users (pedestrians, cyclists, etc.). At low speeds (below 30 km/h), electric and hybrid cars are almost quiet, which poses a risk to pedestrians. This

Externí odkaz: https://doaj.org/article/76dfec64726e4989af4f37489c4f2d40

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