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This book presents the best-selected papers presented at the
International Conference on Data Science, Computation and Security
(IDSCS-2021), organized by the Department of Data Science, CHRIST
(Deemed to be University), Pune Lavasa Campus, India, during April
16-17, 2021. The proceeding is targeting the current research works
in the areas of data science, data security, data analytics,
artificial intelligence, machine learning, computer vision,
algorithms design, computer networking, data mining, big data, text
mining, knowledge representation, soft computing, and cloud
computing.
Neuroscience research deals with the physiology, biochemistry,
anatomy and molecular biology of neurons and neural circuits and
especially their association with behavior and learning. Of late,
neuroscience research is playing a pivotal role in industry,
science writing, government program management, science advocacy,
and education. In the process of learning as experiencing
knowledge, the human brain plays a vital role as the central
governing system to map the images of learning in the human brain
which may be called educational neuroscience. It provides means to
develop a common language and bridge the gulf between educators,
psychologists and neuroscientists. The emerging field of
educational neuroscience presents opportunities as well as
challenges for education, especially when it comes to assess the
learning disorders and learning intentions of the students. The
most effective learning involves recruiting multiple regions of the
brain for the learning task. These regions are associated with such
functions as memory, the various senses, volitional control, and
higher levels of cognitive functioning. By considering biological
factors, research has advanced the understanding of specific
learning difficulties, such as dyslexia and dyscalculia. Likewise,
neuroscience is uncovering why certain types of learning are more
rewarding than others. Of late, a lot of research has gone in the
field of neural networks and deep learning. It is worthwhile to
consider these research areas in investigating the interplay
between the human brain and human formal/natural learning. This
book is intended to bring together the recent advances in
neuroscience research and their influence on the evolving learning
systems with special emphasis on the evolution of a learner-centric
framework in outcome based education by taking into cognizance the
learning abilities and intentions of the learners.
This book gathers selected papers presented at the Third
International Symposium on Signal and Image Processing (ISSIP
2020), organized by the Department of Information Technology, RCC
Institute of Information Technology, Kolkata, during March 18-19,
2020. It presents fascinating, state-of-the-art research findings
in the field of signal and image processing. It includes conference
papers covering a wide range of signal processing applications
involving filtering, encoding, classification, segmentation,
clustering, feature extraction, denoising, watermarking, object
recognition, reconstruction and fractal analysis. It addresses
various types of signals, such as image, video, speech, non-speech
audio, handwritten text, geometric diagram, ECG and EMG signals;
MRI, PET and CT scan images; THz signals; solar wind speed signals
(SWS); and photoplethysmogram (PPG) signals, and demonstrates how
new paradigms of intelligent computing, like quantum computing, can
be applied to process and analyze signals precisely and
effectively.
This book gives a thorough and systematic introduction to Data,
Data Sources, Dimensions of Data, Privacy, and Security Challenges
associated with Data, Ethics, Laws, IPR Copyright, and Technology
Law. This book will help students, scholars, and practitioners to
understand the challenges while dealing with data and its ethical
and legal aspects. The book focuses on emerging issues while
working with the Data.
Neuroscience research deals with the physiology, biochemistry,
anatomy and molecular biology of neurons and neural circuits and
especially their association with behavior and learning. Of late,
neuroscience research is playing a pivotal role in industry,
science writing, government program management, science advocacy,
and education. In the process of learning as experiencing
knowledge, the human brain plays a vital role as the central
governing system to map the images of learning in the human brain
which may be called educational neuroscience. It provides means to
develop a common language and bridge the gulf between educators,
psychologists and neuroscientists. The emerging field of
educational neuroscience presents opportunities as well as
challenges for education, especially when it comes to assess the
learning disorders and learning intentions of the students. The
most effective learning involves recruiting multiple regions of the
brain for the learning task. These regions are associated with such
functions as memory, the various senses, volitional control, and
higher levels of cognitive functioning. By considering biological
factors, research has advanced the understanding of specific
learning difficulties, such as dyslexia and dyscalculia. Likewise,
neuroscience is uncovering why certain types of learning are more
rewarding than others. Of late, a lot of research has gone in the
field of neural networks and deep learning. It is worthwhile to
consider these research areas in investigating the interplay
between the human brain and human formal/natural learning. This
book is intended to bring together the recent advances in
neuroscience research and their influence on the evolving learning
systems with special emphasis on the evolution of a learner-centric
framework in outcome based education by taking into cognizance the
learning abilities and intentions of the learners.
This book presents best selected papers presented at the
International Conference on Data Science for Computational Security
(IDSCS 2022), organized by the Department of Data Science, CHRIST
(Deemed to be University), Pune Lavasa Campus, India, during 11 -
12 February 2022. The book proposes new technologies and discusses
future solutions and applications of data science, data analytics
and security. The book targets current research works in the areas
of data science, data security, data analytics, artificial
intelligence, machine learning, computer vision, algorithms design,
computer networking, data mining, big data, text mining, knowledge
representation, soft computing and cloud computing.
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