Intelligent Computing in Carcinogenic Disease Detection
Das Sharma, Kaushik, Kar, Subhajit, Maitra, Madhubanti
- 出版商: Springer
- 出版日期: 2024-05-17
- 售價: $6,660
- 貴賓價: 9.5 折 $6,327
- 語言: 英文
- 頁數: 180
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 9819724236
- ISBN-13: 9789819724239
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相關主題
商品描述
This book draws on a range of intelligent computing methodologies to effectively detect and classify various carcinogenic diseases. These methodologies, which have been developed on a sound foundation of gene-level, cell-level and tissue-level carcinogenic datasets, are discussed in Chapters 1 and 2.
Chapters 3, 4 and 5 elaborate on several intelligent gene selection methodologies such as filter methodologies and wrapper methodologies. In addition, various gene selection philosophies for identifying relevant carcinogenic genes are described in detail. In turn, Chapters 6 and 7 tackle the issues of using cell-level and tissue-level datasets to effectively detect carcinogenic diseases. The performance of different intelligent feature selection techniques is evaluated on cell-level and tissue-level datasets to validate their effectiveness in the context of carcinogenic disease detection.
In closing, the book presents illustrative case studies that demonstrate the value of intelligent computing strategies.
商品描述(中文翻譯)
本書運用多種智能計算方法來有效地檢測和分類各種致癌疾病。這些方法是基於基因水平、細胞水平和組織水平的致癌數據集的堅實基礎上開發的,詳細介紹於第1章和第2章。
第3章、第4章和第5章詳細介紹了幾種智能基因選擇方法,如過濾方法和包裝方法。此外,還詳細描述了用於識別相關致癌基因的各種基因選擇理念。接著,第6章和第7章討論了使用細胞水平和組織水平數據集來有效檢測致癌疾病的問題。在致癌疾病檢測的背景下,對不同智能特徵選擇技術在細胞水平和組織水平數據集上的性能進行評估,以驗證其有效性。
最後,本書提供了一些實例案例研究,展示了智能計算策略的價值。
作者簡介
Kaushik Das Sharma is currently a Professor at the Electrical Engineering Section of the Department of Applied Physics, University of Calcutta, India. In 2019, he was invited to serve as a Teacher-Researcher Fellow at the University of Paris-Est Créteil, France. He is a recipient of the Kanodia Research Scholarship (2002) and University Gold Medal (2004), both from the University of Calcutta. Dr. Das Sharma's key research interests include fuzzy control, stochastic optimization, machine learning, robotics and computational biology. He has authored/co-authored more than 70 technical articles, including 40 international journal papers and two books with Springer Nature. Dr. Das Sharma is a senior member of the IEEE (USA) and a life member of the Indian Science Congress Association. He is currently serving as Chair of the IEEE Joint CSS-IMS Kolkata Chapter. He is also an editor for IEEE Transactions of Vehicular Technology and editor for Elsevier Engineering Applications of Artificial Intelligence.
Subhajit Kar is currently an Associate Professor and Head of the Department at the Department of Electrical Engineering, Institute of Engineering & Management, Kolkata, India. He is a member of the IEEE (USA) and currently serves as honorary treasurer of the IEEE Joint CSS-IMS Kolkata Chapter. He has authored/co-authored several international journal and international conference papers. His research interests include computational biology, biomedical imaging, stochastic optimization and machine learning techniques.
Madhubanti Maitra is currently a Professor at the Department of Electrical Engineering, Jadavpur University, India. She has previously served as a research scientist for the DRDL-sponsored projects on Control and Guidance of Agni and Nag Missiles; and as a teacher-investigator and coordinator for DRDL- and ADA-sponsored projects on CLAW IV and V for LCA (Light Combat Aircraft). She has 22 classified articles on Agni, Nag and LCA and more than 65 international journal and conference papers to her credit. She has authored/co-authored several books with international publishers, as well as seven book chapters in edited volumes including LNCS. She has supervised and is supervising more than 20 PhD and MEE students. She has acted as PI and Co-PI of several UGC- and AICTE-funded projects. She is a senior member of the IEEE, USA, and a founder member of both the ComSoc (Communication Society) Chapter, IEEE Kolkata Section, Region 10, and the Joint CSS-IMS Chapter, IEEE Kolkata Section, Region 10.
作者簡介(中文翻譯)
Kaushik Das Sharma目前是印度加爾各答大學應用物理學系電機工程部門的教授。2019年,他受邀擔任法國巴黎東部克雷泰大學的教師研究員。他曾獲得加爾各答大學的Kanodia研究獎學金(2002年)和大學金牌獎(2004年)。Das Sharma博士的主要研究興趣包括模糊控制、隨機優化、機器學習、機器人學和計算生物學。他已經撰寫/合著了70多篇技術文章,包括40篇國際期刊論文和兩本Springer Nature出版的書籍。Das Sharma博士是IEEE(美國)的高級會員和印度科學大會協會的終身會員。他目前擔任IEEE聯合CSS-IMS加爾各答分會的主席。他還是《IEEE Transactions of Vehicular Technology》的編輯和《Elsevier Engineering Applications of Artificial Intelligence》的編輯。
Subhajit Kar目前是印度加爾各答工程與管理學院電機工程系的副教授兼系主任。他是IEEE(美國)的會員,目前擔任IEEE聯合CSS-IMS加爾各答分會的名譽財務主管。他撰寫/合著了多篇國際期刊和國際會議論文。他的研究興趣包括計算生物學、生物醫學成像、隨機優化和機器學習技術。
Madhubanti Maitra目前是印度加爾各答大學電機工程系的教授。她曾擔任DRDL贊助的Agni和Nag飛彈控制和導引項目的研究科學家,以及DRDL和ADA贊助的LCA(輕型戰鬥機)的CLAW IV和V項目的教師調查員和協調員。她在Agni、Nag和LCA方面有22篇機密文章,以及65多篇國際期刊和會議論文。她撰寫/合著了幾本與國際出版商合作的書籍,以及包括LNCS在內的七篇編輯卷的書籍章節。她指導了超過20名博士和碩士生,並擔任了多個UGC和AICTE資助項目的項目負責人和共同負責人。她是IEEE(美國)的高級會員,也是IEEE加爾各答分會第10區的通信協會(ComSoc)分會和聯合CSS-IMS分會的創始成員。