Computational Techniques in Neuroscience -

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Editeur : Crc Press

Langue : Anglais

Parution : 01/05/2025

Format : Moyen, de 350g à 1kg

Nombre de pages : 242.0

ISBN : 9781032503431

Résumé :

Chapter 1

Dynamic Intuitionistic Fuzzy Weighting Averaging Operator: A Multi-Criteria Decision-Making Technique for the Diagnosis of Brain Tumor

Vijay Kumar, H D Arora, Kiran Pal

Chapter 2

NEURAL MODELING AND NEURAL COMPUTATION IN MEDICAL APPROACH

Simran Singh, Anshika Gupta, Kalpana

Chapter 3

Neural networks and Neurodiversity - The Key foundation for Neuroscience

Hera Fatma, Harshit Mishra, Kalpana Katiyar

Chapter 4

Brain Waves, Neuroimaging (fMRI, EEG, MEG, PET, NIR)

Surbhi Kumari, Amit Kumar Dutta

Chapter 5

EEG: Concepts, Research-based Analytics, and Applications

Rashmi Gupta, Sonu Purohit, Jeetendra Kumar

Chapter 6

Classification of gait signals for detection of neurodegenerative diseases using Log-energy entropy and ANN Classifier

Prasanna J, S. Thomas George, M.S.P Subathra

Chapter 7

An Optimized Text Summarization for Healthcare Analytics using Swarm Intelligence.

Rekha Jain, Pratistha Mathur, Manisha

Chapter 8

Computer-Aided Diagnosis of neurodegenerative diseases using Discrete Wavelet Transform and Artificial Neural network

Prasanna J, S. Thomas George, M.S.P Subathra

Chapter 9

EEG Artifact Detection and Removal Techniques: A Brief Review

Sandhyalati Behera and Mihir Narayan Mohanty

Chapter 10

Analysis of Neural Network and Neuromorphic Computing with hardware- A Survey

Manish Bhardwaj, Kailash Nath Tripathi, Yogendra Narayan Prajapati, Analp Pathak

...

Biographie:

Dr. Kamal Malik is currently working as a Professor in CSE in the School of Engineering and Technology at CTU Ludhiana, Punjab, India. She has published Scientific Research Publications in reputed International Journals, including SCI and Scopus indexed Journals such as Adhoc and senior Wireless Networks, 50, Engineering, Technology and Applied Sciences Research, Journals of Advanced Research in Engineering, Research Journal of Applied Sciences of Engineering & Technology(RJASET- Maxwell Sciences), SSRN-Electronic Journal, Design Engineering, Indian Journal of Science and Technology(IJST), International Journal of Computer Applications(IJCA), and many more. She has also attended many National and International Conferences of repute like Springer, and Elsevier in India. Her major research areas are Artificial Intelligence, Machine Learning and Deep Learning, Data Analytics, Computational Neurosciences, and bio-inspired computing. She has more than 13 years of rich Academic and Research experience. She has guided 3 research scholars and currently guiding 8 research Scholars at CT University, Ludhiana. She has worked in renowned Institutes and Universities like RIMT Mandigobindgarh, Maharishi Markandeshwar University, Mullana, GNA University, Phagwara. She has also chaired various sessions in Springer and Elsevier. She has also been awarded with the preeminent researcher award from Green Thinkerz society at CII, Chandigarh. She has completed her Doctorate of Philosophy in Computer Science from IKGPTU Kapurthala in 2017, her Masters and Graduation from Kurukshetra University, Kurukshetra in 2009 and 2006 respectively.

Dr. Harsh Sadawarti is currently working as Vice Chancellor of CT University and Professor of Computer Science and Engineering in School of Engineering and Technology at CTU Ludhiana, Punjab India. He has published Scientific research Publications in reputed International Journals including SCI indexed and Scopus indexed Journals such as Journal of Intelligent and Fuzzy Systems , Journal of Applied Sciences, International Journal of Scientific and Technology research(IJSTR), International Journal of Advanced Research in Engineering and Technology(IJARET), International Journal of light and electron optics(Optik Elesevier Journal). International Journal of Computer Science and Communication Engineering(IJCSCE), International Journal of Advanced Research in Computer science and Software Engineering, Maxwell's Sciences and many more. Apart from it, he has attended many National, International Conferences and IEEE conferences of repute like Springer, Elsevier in India as well as abroad. He has visited more than 20 countries in his academic career for presenting his scientific research. His major areas of Research are Machine Learning, Artificial Intelligence, Deep learning, Parallel processing, Computational Neurosciences, Bio-inspired Computing, Security in cloud computing. He is having more than 28 years of Teaching, Academic and Research experience in various reputed Engineering Institutions named as RIMT Mandigobindgarh, Baba Banda Singh Bahadur Institute of Engg and Technology. He has also chaired various International Conferences of Springer, Elsevier. He has guided 12 Ph.D Schorals and currently guiding 8 Research Scholars. He has also been awarded as a Punjab Ratan (Punjab State Intellectuals honor) by All India Conference of Intellectuals at India International Centre New Delhi on 26th of December, 2010. He is also an eminent reviewer of many reputed Journals like Elsevier, Springer etc,. He has also been awarded as the best Young Vice Chancellor award from IARE i.e,. (International Academic and Research Excellence Awards). He has done his Doctor of Philosophy (Ph.D.) in Computer Science and E...

Sommaire:
The text discusses the techniques of deep learning and machine learning in the field of neuroscience, engineering approaches to study the brain structure and dynamics, convolutional networks for fast, energy-efficient neuromorphic computing, and reinforcement learning in feedback control. It showcases case studies in neural data analysis....