Applied Soft Computing Techniques: Theoretical Principles and Practical Applications
暫譯: 應用軟體計算技術：理論原則與實務應用
Borah, Samarjeet, Kumar Jambi, Ratna Raja, Syed Ahmad, Sharifah Sakinah
- 出版商: Apple Academic Press
- 出版日期: 2025-07-11
- 售價: $6,710
- 貴賓價: 9.5 折 $6,375
- 語言: 英文
- 頁數: 440
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1774918846
- ISBN-13: 9781774918845
尚未上市，無法訂購
相關主題
商品描述
Soft computing techniques have the ability to handle complex, uncertain, and imprecise information to create usable solutions to convoluted problems, or those just too time-consuming to solve with current hardware. This new book details the use and applications of soft computing technology in several fields, exploring the use of these techniques in biomedical applications, communication technologies, data analytics and applications, image processing and natural language processing.
The chapters in the section on biomedical applications explore soft computing techniques for cancer data analysis, depression and mental health analysis, heart disease detection, etc. The editors go on to discuss soft computing in communication systems, looking at graphs, design processes, and mapping techniques, as well as the integration of IoT devices, drone technology, etc. The volume also details how soft computing methodologies can assist in tackling the obstacles associated with signal processing, network optimization, quality of service and beyond.
Several chapters discuss the use of soft computing techniques in data compression, handling of large-scaled heterogenous databases, visualization techniques, etc. Applications of soft computing in image processing are also discussed and cover human face recognition, casualty detection, traffic sign recognition, and predicting soil features using satellite imagery. Soft computing techniques in natural language processing consider text-to-speech signal conversion, NLP and speech recognition, speech emotion recognition and more.
This volume will help to facilitate the amalgamation of theoretical principles and practical applications, bringing forth possible solutions to complex problems in various domains. The book is a welcome resource for researchers, students, professionals, and even for individuals looking for knowledge on soft computing.
Applied Soft Computing Techniques: Theoretical Principles and Practical Applications will help to facilitate the amalgamation of theoretical principles and practical applications, bringing forth possible solutions to complex problems in various domains. The book is a welcome resource for researchers, students, professionals, and even for individuals looking for knowledge on soft computing.
商品描述(中文翻譯)
軟計算技術能夠處理複雜、不確定和不精確的信息，以創造可用的解決方案來解決那些過於繁瑣或無法用當前硬體解決的問題。本書詳細介紹了軟計算技術在多個領域的使用和應用，探索這些技術在生物醫學應用、通信技術、數據分析及應用、圖像處理和自然語言處理中的應用。
生物醫學應用部分的章節探討了用於癌症數據分析、抑鬱症和心理健康分析、心臟病檢測等的軟計算技術。編輯們接著討論了通信系統中的軟計算，著眼於圖形、設計過程和映射技術，以及物聯網設備、無人機技術等的整合。本書還詳細說明了軟計算方法如何幫助解決與信號處理、網絡優化、服務質量等相關的障礙。
幾個章節討論了軟計算技術在數據壓縮、大規模異構數據庫處理、可視化技術等方面的應用。軟計算在圖像處理中的應用也被討論，涵蓋了人臉識別、事故檢測、交通標誌識別以及利用衛星影像預測土壤特徵等。自然語言處理中的軟計算技術考慮了文本轉語音信號轉換、自然語言處理（NLP）和語音識別、語音情感識別等。
本書將有助於促進理論原則與實際應用的融合，為各個領域的複雜問題提供可能的解決方案。這本書對於研究人員、學生、專業人士，甚至對於尋求軟計算知識的個人來說，都是一個受歡迎的資源。
《應用軟計算技術：理論原則與實際應用》將有助於促進理論原則與實際應用的融合，為各個領域的複雜問題提供可能的解決方案。這本書對於研究人員、學生、專業人士，甚至對於尋求軟計算知識的個人來說，都是一個受歡迎的資源。
作者簡介
Samarjeet Borah, PhD is Professor and Head in the Department of Computer Applications at SMIT, Sikkim Manipal University, India. He has carried out research projects, published research papers in journals and conferences, and organized workshops and conferences. He is Editor-in-Chief of the book series Research Notes on Computing and Communication Sciences. Dr. Borah has served as a keynote as well as invited speaker at several international conferences. His areas of research are data mining, information security, data science, and machine learning.
Ratna Raja Kumar Jambi, PhD is Principal at the Genba Sopanrao Moze College of Engineering, Balewadi, Pune, India. He has 17 years of teaching and research work. He has patents at both national and international levels and has published papers and book chapters on artificial intelligence and machine learning. He has organized national and international conferences. He received an Innovative Leader Award from the World Education Summit & Awards in 2019 in New Delhi.
Sharifah Sakinah Syed Ahmad, PhD is currently working as Associate Professor in the Department of Intelligent Computing & Analytics (ICA), Faculty of Information & Communication Technology, Universiti Teknikal Malaysia Melaka (UTeM). Her current research work is on the granular fuzzy rule-based system, evolutionary method, modeling, and data science. Dr. Ahmad has been a member of numerous program committees at national and international conferences in intelligent systems and soft computing, where she is involved in organizing and reviewing activities. She is an editorial board member of the IEEE Transactions on Systems, Man, and Cybernetics: Systems and a member of the Association for Computing Machinery (ACM). She has co-authored numerous journal publications, conference articles, and book chapters. She has also received several grants from various funding agencies, including the Ministry of Education, Malaysia, and the Ministry of Science, Technology, and Innovation, Malaysia. Dr. Ahmad has 15 years of experience in teaching. She was also involved in conducting several workshops related to improving data science and modeling.
Mahendra Prabhakar Deore, PhD is an Assistant Professor of Computer Engineering at MKSSS's Cummins College of Engineering for Women, Pune, India. With over 16 years of dedicated teaching experience at undergraduate level, Dr. Deore has authored and published more than 20 SCI- and SCOPUS-indexed research papers. His primary areas of interest encompass big data, security, computer networks, and machine learning.
作者簡介(中文翻譯)
Samarjeet Borah, PhD 是印度西基姆曼尼帕爾大學 (Sikkim Manipal University) 計算機應用系的教授及系主任。他進行了多個研究項目，並在期刊和會議上發表了研究論文，還組織了多場研討會和會議。他是系列書籍 Research Notes on Computing and Communication Sciences 的主編。Borah 博士曾在多個國際會議上擔任主題演講者及受邀演講者。他的研究領域包括數據挖掘、資訊安全、數據科學和機器學習。
Ratna Raja Kumar Jambi, PhD 是印度浦那 (Pune) 的 Genba Sopanrao Moze 工程學院的院長。他擁有 17 年的教學和研究經驗。他在國內外擁有多項專利，並發表了有關人工智慧和機器學習的論文和書籍章節。他組織過多場國內和國際會議。2019 年，他在新德里獲得了世界教育峰會與獎項的創新領導者獎。
Sharifah Sakinah Syed Ahmad, PhD 目前在馬來西亞技術大學馬六甲分校 (Universiti Teknikal Malaysia Melaka, UTeM) 的智能計算與分析系 (ICA) 擔任副教授。她目前的研究工作集中在顆粒模糊規則系統、演化方法、建模和數據科學。Ahmad 博士曾是多個國內外智能系統和軟計算會議的程序委員會成員，參與組織和審查活動。她是《IEEE Transactions on Systems, Man, and Cybernetics: Systems》的編輯委員會成員，也是計算機協會 (ACM) 的成員。她共同撰寫了多篇期刊出版物、會議文章和書籍章節。她還獲得了來自馬來西亞教育部和馬來西亞科學、技術與創新部等多個資助機構的多項資助。Ahmad 博士擁有 15 年的教學經驗，並參與了多場與改善數據科學和建模相關的研討會。
Mahendra Prabhakar Deore, PhD 是印度浦那 MKSSS 的 Cummins 女子工程學院的計算機工程助理教授。Deore 博士在本科教學方面擁有超過 16 年的專業經驗，並撰寫和發表了 20 多篇 SCI 和 SCOPUS 索引的研究論文。他的主要研究興趣包括大數據、安全性、計算機網絡和機器學習。
