Algorithms in Advanced Artificial Intelligence: Icaaai-2023
N. V. Jagan Mohan, R., Chandra Sekhar, Vasamsetty, M. N. S. S. V. K. R. Gupta, V.
- 出版商: CRC
- 出版日期: 2024-07-08
- 售價: $2,290
- 貴賓價: 9.5 折 $2,176
- 語言: 英文
- 頁數: 520
- 裝訂: Quality Paper - also called trade paper
- ISBN: 1032867981
- ISBN-13: 9781032867984
-
相關分類:
人工智慧、Algorithms-data-structures
海外代購書籍(需單獨結帳)
相關主題
商品描述
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.
商品描述(中文翻譯)
最常見的嚴重癡呆症形式是阿茲海默症（Alzheimer's disease, AD），這是一種累積性的神經系統疾病，因為大腦組織中的神經細胞退化和死亡，導致智力穩定下降，並且大部分活動受到影響。在深入探討阿茲海默症的診斷水平之前，強調傳統機器學習（ML）和深度學習（DL）之間的基本差異是至關重要的。本研究涵蓋了多種影像前處理方法，這些方法有助於學習，因為影像處理對於阿茲海默症的診斷至關重要。在醫學影像處理中，最重要的計算機視覺神經網絡類型是卷積神經網絡（Convolutional Neural Network, CNN）。本研究將考慮面部特徵，包括表情和眼動，並使用擴散模型作為CNN在阿茲海默症診斷中的細緻方法的一部分。卷積神經網絡被用來嘗試在早期階段感知阿茲海默症，並使用大量面部表情的圖片。
作者簡介
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.
作者簡介(中文翻譯)
Dr. R. N. V. Jagan Mohan
擔任中國阿米拉姆的Sagi Rama Krishnam Raju工程學院計算機科學與工程系教授。我於2015年在Acharya Nagarjuna University完成博士學位，指導教授為Dr. Kurra Raja Sekhara Rao，並於2020年在Jawaharlal Nehru Technological University的University College of Engineering獲得CSE碩士學位。我在各種國際期刊和國內期刊上發表了約43篇論文，並擁有約6項專利，其中1項為國際授權。我在多家國際出版社出版了2本書籍，並在6家國內出版社出版了書籍。自2022年至今，我在J.N.T.U, Kakinada擔任博士生的指導教授。完成了一個研究項目，主題為「在縱向電子健康記錄中剖析自閉症軌跡」，該項目在印度和以色列合作進行，由印度政府科學與技術部門資助。將於2023年12月22日至24日舉辦的DST-SERB贊助國際會議，主題為「先進人工智慧中的算法」，由SRKR工程學院計算機科學與工程系主辦。2019年12月18日至20日舉辦的AICTE贊助全國會議，主題為「生產力、質量、可靠性、優化與計算建模」，由SRKR工程學院計算機科學與IT系主辦。2022年8月13日，舉辦了關於區塊鏈技術的網路研討會，主講人為黎巴嫩大學計算機科學教授Dr. Hussein El Ghor。2021年6月10日至15日，舉辦了由SRKR工程學院贊助的數據科學及其應用的教師發展計劃。2018年7月23日至28日，舉辦了國家研討會DST-SERB工作坊，主題為「機器學習演變預測數據分析」，由SRKR工程學院IT系主辦，批准令號：SSY/2017/001121，批准日期：2017年12月13日。參加了多個教師發展計劃。
Dr. Vasamsetty Chandra Sekhar
博士是印度安得拉邦Sagi Ramakrishnam Raju工程學院計算機科學與工程系的教授及系主任。他為IEEE和Elsevier撰寫和共同撰寫了多篇文章，這兩本期刊均為同行評審的SCI期刊，他也曾擔任評審。此外，他參加了多個國際會議。軟體工程和機器學習是他的兩個研究興趣。他的主要研究領域是探討各種物聯網和軟體工程技術，以解決總結、設計和分析中的多個難題。Dr. V. Chandra Sekhar在維沙卡帕特南的安得拉大學獲得了M.Tech（計算機科學與技術）和博士學位。他發表了超過26篇研究論文，並在同行評審的出版物中發表了多個書章和1項專利，還有1本著作。由他安排的教師發展計劃涵蓋了軟體工程、機器學習和物聯網等研究興趣。他是IEEE Vizag Bay Section計算機學會的副主席。
Dr. V. M. N. S. S. V. K. R. Gupta
博士是印度安得拉邦Sagi Ramakrishnam Raju工程學院計算機科學與工程系的副教授。他為IEEE和Elsevier撰寫和共同撰寫了多篇文章，這兩本期刊均為同行評審的SCI期刊，他也曾擔任評審。此外，他參加了多個國際會議。數據挖掘和醫療保健是他的兩個研究興趣。他的主要研究領域是探討各種技術，以解決總結和分析中的多個難題。Dr. Gupta在安得拉大學獲得了M.Tech（計算機科學與技術）學位，並在Guntur的K. L. University獲得博士學位。他發表了超過22篇研究論文。
