Ashok Kumar Yadav

Ashok Kumar YadavAshok Kumar Yadav, with a B.Tech. from AKTU Lucknow, an M.Tech., and Ph.D. from JNU New Delhi, India, holds over seven years of combined teaching and research experience. Currently an assistant professor in the Department of Information Technology atRajkiya Engineering College in Azamgarh, India. He previously served at the University of Delhi as an assistant professor (On ad-hoc). Dr. Yadav's research spans MADM, blockchain technology, machine learning, and mobility management in mobile communication. His impactful contributions include publications in esteemed journals such as Elsevier, Springer, World Scientific, and Taylor & Francis, alongside presentations at reputable international conferences. Notably, he co-authored "Mastering Disruptive Technologies" and holds Six SCIs, two Scopus publications, and six patents. Actively engaged in academia, he reviews for international journals and contributes to program committees at various conferences. He was honored with the Best paper Award in IEEE World Conference on Applied Intelligence and Computing, 2022, held during June 17-19, 2022 and International Conference on Artificial Intelligence and Smart Communication (AISC), held during January 27-29, 2023. Read More Read Less

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PARIVARTIT BHARAT : Zarurat Ya Sazish
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Blockchain Technology and its Applications23 %
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Agroforestry Solutions for Climate Change and Environmental Restoration37 %
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IMPERATIVE OF BIOTECHNOLOGY43 %
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Sustainable Agriclture for Food Security36 %
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Methodologies, Frameworks, and Applications of Machine Learning38 % NR
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Machine Learning Techniques and Industry Applications38 % NR
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Machine Learning Techniques and Industry Applications38 % NR
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Effetto delle miscele diesel/biodiesel sulle prestazioni dei motori ad accensione spontanea6 % NR
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Efeito da Mistura de Combustíveis Diesel/Biodiesel no Desempenho do Motor C.I.6 % NR
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Effet des carburants mélangés diesel/biodiesel sur les performances d'un moteur à allumage commandé6 % NR
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Auswirkung von Diesel/Biodiesel-Mischkraftstoffen auf die Leistung von C.I.-Motoren6 % NR
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Metalloxide als Stickstoffdioxid-Gassensoren5 % NR
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Ossidi metallici come sensori di gas di biossido di azoto5 % NR
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Les oxydes métalliques comme capteurs de gaz de dioxyde d'azote5 % NR
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Óxidos metálicos como sensores de gás de dióxido de azoto5 % NR
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Methodologies, Frameworks, and Applications of Machine Learning38 % NR
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Status of Fisheries in Haryana23 % NR
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Information Hiding and Machine Learning12 % NR
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Machine Learning. Supervised and unsupervised learning, latent semantic indexing, spectral clustering and Bellman equations12 % NR
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