The most common form of severe dementia, Alzheimer's disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN's meticulous approach to Alzheimer's diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer's disease in its early stages using a big collection of pictures of facial expressions.

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T�tulo: Algorithms in Advanced Artificial Intelligence
Editor: Taylor and Francis Ltd, GB
Fecha de publicaci�n: 2024
Idioma: Ingl�s
ISBN 10: 1032867981
ISBN 13: 9781032867984
Encuadernaci�n: Paperback
Estado: New
Peso: 1010 gramos

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Sinopsis

The most common form of severe dementia, Alzheimer’s disease (AD), is a cumulative neurological disorder because of the degradation and death of nerve cells in the brain tissue, intelligence steadily declines and most of its activities are compromised in AD. Before diving into the level of AD diagnosis, it is essential to highlight the fundamental differences between conventional machine learning (ML) and deep learning (DL). This work covers a number of photo-preprocessing approaches that aid in learning because image processing is essential for the diagnosis of AD. The most crucial kind of neural network for computer vision used in medical image processing is called a Convolutional Neural Network (CNN). The proposed study will consider facial characteristics, including expressions and eye movements using the diffusion model, as part of CNN’s meticulous approach to Alzheimer’s diagnosis. Convolutional neural networks were used in an effort to sense Alzheimer’s disease in its early stages using a big collection of pictures of facial expressions.

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Dr. R. N. V. Jagan Mohan

working as Professor in Computer Science and Engineering Department from Sagi Rama Krishnam Raju Engineering College, China Amiram, Bhimavaram. I have Ph.D completed from Acharya Nagarjuna University since 2015 under the esteemed guidance of Dr.Kurra Raja Sekhara Rao, M.Tech in CSE, University College of Engineering, Jawaharlal Nehru Technological University, 2020. I have published papers around 43 in various international Journals and national journals. I have published patents around 6 and 1 is Granted international. Published Books in various international publishers 2 and 6 National publishers. I have guidance in Ph.D from J.N.T.U, Kakinada as Supervisor since 2022 to till date. One Research Project Completed Project on Dissecting Autism Trajectories in Longitudinal Electronic Health Records, collaboratively in India and Israel, Govt of India, Ministry of Science and Technology, Dept of Science and Technology. DST-SERB Sponsored International Conference on Algorithms in Advanced Artificial Intelligence, Organized dates at 22nd -24th December 2023, Dept of CSE, SRKR Engineering College, Bhimavaram-534204. AICTE Sponsored National Conference on Productivity, Quality, Reliability, Optimization and Computational Modelling, Organized dates at 18th – 20th December 2019, Dept of CSE & IT, SRKR Engineering College, Bhimavaram-534204. Three Faculty programs organized Webinar on Blockchain Technology: Insights and Applications,13th August, 2022 at Dept of CSE, SRKR Engineering College, Bhimavaram. Resource Person by Dr. Hussein El Ghor, Professor in CSE, Lebanese University, Lebanon. Faculty Development Program on Data Science and Its Application, Dept of CSE, Sponsored by SRKR Engineering College, June 10th – 15th, 2021. National Seminar Symposia DST□SERB Workshop on Machine Learning Evolve Predictive Data Analytics, Dept of IT, SRKR Engineering College, Sanction Order No: SSY/2017/001121, Sanctioned Date: 13-12-2017, Organized Date:23rd to 28th, July, 2018. Attended many Faculty Development Programs.

Dr. Vasamsetty Chandra Sekhar

PhD is Professor and Head of the Department of Computer Science and Engineering Department of Sagi Ramakrishnam Raju Engineering College, Andhra Pradesh, India. He has written and co written multiple articles for IEEE and Elsevier, two peer-reviewed SCI journals for which he has also served as a reviewer. Additionally, he has taken part in numerous international conferences. Software engineering and machine learning are two of his research interests. His main area of study is investigating various IoT and software engineering techniques to address a number of difficult issues in summarization, design, and analysis.Dr.V. Chandra Sekhar received his M.Tech (Computer Science and Technology) and PhD degrees from Andhra University in Visakhapatnam. He has over 26 research papers, over book chapters, and one patent published, one authored book published in peer-reviewed publications. Faculty Development Programs were arranged by him. Software engineering, machine learning, and the Internet of Things are some of his research interests. Vice-Chair, Computer Society, IEEE Vizag Bay Section.

Dr. V. M. N. S. S. V. K. R. Gupta

PhD is Associate Professor of Computer Science and Engineering Department of Sagi Ramakrishnam Raju Engineering College, Andhra Pradesh, India. He has written and co-written multiple articles for IEEE and Elsevier, two peer-reviewed SCI journals for which he has also served as a reviewer. Additionally, he has taken part in numerous international conferences. Data Mining and Healthcare are two of his research interests. His main area of study is investigating various techniques to address a number of difficult issues in summarization, and analysis. Dr. Gupta received his M.Tech (Computer Science and Technology) from Andhra University and PhD degrees from K. L. University in Guntur. He has over 22 research papers, over three book chapters, and three patents published in peer-reviewed publications. He organized faculty development programs. Among his areas of interest in research is machine learning.

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