S.K.B. Sangeetha

S.K.B. SangeethaS.K.B. Sangeetha was born in Dindigul, Tamil Nadu, India, in 1984. received Bachelor’s degree in computer science and engineering from Christian College of Engineering and Technology, Dindigul in 2005, the Master’s degree in computer science and engieering from Dr.Mahalingam College of Engineering and Technology, Coimbatore in 2009, and the PhD degree in computer science and engineering from Anna University in 2019. She has 15 years of teaching experience and 5 years of research experience, and she has published various research papers in high-quality journals Springer, Elsevier, Wiley, etc. At present, she has a working Senior Assistant Professor in the Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani Campus, Tamil Nadu, India. She is a Life Member of the ISTE and IEI. She has published more than 75 research articles and 10 book chapters in peer-reviewed international journals. She has published 10 IPR patents in machine learning and deep learning. She also presented 44 papers at national and international conferences. She has also been a reviewer of several international journals including, Artificial intelligence in medicine, IEEE Access, IGI Global Book Chapter Peer Reviews, International journal of information technology & decision making, and international journal of speech technology. She is also being an editorial board member in PLOS ONE and International Journal of Neuroscience and Neuroinformatics, IGI Global. Read More Read Less

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Advancing Medical Research Through Neuroscience13 % NR
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Advancing Medical Research Through Neuroscience13 % NR
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Real-World Applications of AI Innovation37 % NR
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Grid and Cloud Computing12 % NR
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Computer Architecture2 % NR
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Weighted Clustering Algorithm in Mobile Ad-Hoc Networks1 % NR
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Advancing Medical Research Through Neuroscience
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Advancing Medical Research Through Neuroscience
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Optical Quantum Technology for Enhanced Medical Diagnosis12 % NR
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Real-World Applications of AI Innovation8 % NR
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Keiner Der Oben Genannten Punkte4 % NR
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Nessuno Dei Precedenti4 % NR
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Nenhum DOS Itens Acima4 % NR
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