Computational Intelligence in Analytics and Information Systems: Volume 1: Data Science and Ai​, ​selected Papers from Ciais-2021
暫譯: 分析與資訊系統中的計算智慧：第一卷：資料科學與人工智慧，來自Ciais-2021的選定論文
Thakur, Hardeo Kumar, Kaur, Manpreet, Dhaliwal, Parneeta
- 出版商: Apple Academic Press
- 出版日期: 2023-09-11
- 售價: $5,740
- 貴賓價: 9.5 折 $5,453
- 語言: 英文
- 頁數: 454
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1774911442
- ISBN-13: 9781774911440
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相關分類:
Data Science
海外代購書籍(需單獨結帳)
相關主題
商品描述
The new book presents a valuable selection of state-of-the-art technological advancements using the concepts of AI and machine learning, highlighting the use of predictive analytics of data to find timely solutions to real-time problems. It helps to identify applicable approaches in order to enhance, automate, and develop effective solutions to challenges in data science and artificial intelligence. The various novel approaches include applications in healthcare, natural language processing, and smart cities. As such, the book is divided into sections that address:
- Computational Intelligence in Image Processing
- Computational Intelligence in Healthcare
- Techniques for Natural Language Processing
- Computational Intelligence in Smart Cities
The very diverse range of topics include AI and machine learning applications for
- In security: For using digital image processing for image fusion (face recognition, feature extraction, object detection as well tracking, moving object identification), for person re-identification for security purposes.
- In healthcare and medicine: For diagnosis and prediction of breast cancer, other cancers, diabetes, heart disease; for predicting susceptibility to COVID-19; for prediction of mood and anxiety disorders.
- In agriculture: For prediction of crop profit; for prediction of cropping patterns and recommendation for crop cultivation.
- In traffic science/smart cities: For understanding road scene images, for detection of traffic signs, for devising a fog-based intelligent traffic phase timing regulation system
- In language/speech/text: For automatic text summarization, for document indexing for unstructured data, for speech/accent recognition, for sound separation, for American Sign Language interpretation for nonsigners, for emotional recognition and analysis through speech, body postures with facial expressions, and other body movements (to improve the performance of virtual personal assistants / emotion recognition using speech, body postures with facial expressions and other body movements.
This volume offers valuable information for researchers working in interdisciplinary or multidisciplinary areas of healthcare, image analysis, natural language processing, and smart cities. This includes academicians, people in industry, and students with engineering background with research interest in these areas.
These peer-review chapters were selected from the International Conference on Computational Intelligence in Analytics and Information Systems (CIAIS- 2021), held in April 2021 at Manav Rachna University, India. Together with Volume 2: Advances in Digital Transformation, this 2-volume set offers an abundacne of valuable information on emerging technologies in computational intelligence in information systems focusing on data science and artificial intelliegence.
商品描述(中文翻譯)
這本新書呈現了一系列最先進的技術進展，利用人工智慧（AI）和機器學習的概念，強調使用數據的預測分析來尋找即時問題的及時解決方案。它有助於識別可應用的方法，以增強、自動化並開發有效的解決方案來應對數據科學和人工智慧中的挑戰。各種新穎的方法包括在醫療保健、自然語言處理和智慧城市中的應用。因此，這本書分為幾個部分，涵蓋以下主題：
- 圖像處理中的計算智能
- 醫療保健中的計算智能
- 自然語言處理技術
- 智慧城市中的計算智能
這些多樣化的主題包括 AI 和機器學習的應用於：
- 在安全領域：使用數位圖像處理進行圖像融合（臉部識別、特徵提取、物體檢測以及追蹤、移動物體識別），用於安全目的的人員重新識別。
- 在醫療和醫學領域：用於乳腺癌、其他癌症、糖尿病、心臟病的診斷和預測；預測對 COVID-19 的易感性；預測情緒和焦慮障礙。
- 在農業領域：用於作物利潤的預測；用於作物模式的預測和作物栽培的建議。
- 在交通科學/智慧城市：用於理解道路場景圖像，檢測交通標誌，設計基於霧的智能交通相位定時調節系統。
- 在語言/語音/文本：用於自動文本摘要，對非結構化數據的文檔索引，語音/口音識別，聲音分離，為非手語者提供美國手語翻譯，通過語音、身體姿勢與面部表情及其他身體動作進行情感識別和分析（以改善虛擬個人助理的性能/使用語音、身體姿勢與面部表情及其他身體動作進行情感識別）。
本卷為在醫療保健、圖像分析、自然語言處理和智慧城市等跨學科或多學科領域工作的研究人員提供了寶貴的信息。這包括學術界人士、業界人士以及對這些領域有研究興趣的工程背景學生。
這些經過同行評審的章節是從2021年4月在印度 Manav Rachna 大學舉行的國際計算智能分析與信息系統會議（CIAIS-2021）中選出的。與《第二卷：數位轉型的進展》一起，這套兩卷本提供了關於計算智能在信息系統中，專注於數據科學和人工智慧的新興技術的豐富信息。
作者簡介
Hardeo Kumar Thakur, PhD, is working as an Associate Professor in the Department of Computer Science and Technology of Manav Rachna University, Faridabad, India. With over 10 years of teaching and research experience, he focuses on data mining, dynamic graph mining, machine learning and big data analytics.
Manpreet Kaur, PhD, is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She has more than 14 years of teaching and research experience. Her current research is on machine learning, deep learning, and natural language processing.
Parneeta Dhaliwal, PhD, has over 16 years of experience in teaching and research. Presently, she is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, India. She is also Head of the Research Cluster of Computing (RCC) to facilitate students in their research projects.
Rajeev Kumar Arya, PhD, is an Assistant Professor with the Department of Electronics and Communication Engineering at National Institute of Technology, Patna, India. His current research interests are in wireless communication, soft computing techniques, cognitive radio, signal processing, communication systems, and circuit design.
Joan Lu, PhD, is a Professor in the Department of Computer Science and the Research Group Leader of Information and System Engineering in the Centre of High Intelligent Computing at the University of Huddersfield, UK, having previously been team leader in the IT Department of the Charlesworth Group.
作者簡介(中文翻譯)
哈爾迪奧·庫馬爾·塔庫爾 (Hardeo Kumar Thakur), PhD，目前擔任印度法里達巴德的馬納夫·拉奇納大學 (Manav Rachna University) 計算機科學與技術系的副教授。擁有超過10年的教學和研究經驗，他專注於資料探勘、動態圖形探勘、機器學習和大數據分析。
曼普里特·考爾 (Manpreet Kaur), PhD，是印度馬納夫·拉奇納大學計算機科學與技術系的副教授。她擁有超過14年的教學和研究經驗。她目前的研究方向為機器學習、深度學習和自然語言處理。
帕爾尼塔·達利瓦爾 (Parneeta Dhaliwal), PhD，擁有超過16年的教學和研究經驗。目前，她是印度馬納夫·拉奇納大學計算機科學與技術系的副教授。她同時擔任計算研究集群 (RCC) 的負責人，以協助學生進行研究專案。
拉吉夫·庫馬爾·阿里亞 (Rajeev Kumar Arya), PhD，是印度巴特那國立技術學院 (National Institute of Technology, Patna) 電子與通信工程系的助理教授。他目前的研究興趣包括無線通信、軟計算技術、認知無線電、信號處理、通信系統和電路設計。
琼·盧 (Joan Lu), PhD，是英國哈德斯菲爾德大學 (University of Huddersfield) 計算機科學系的教授及高智能計算中心 (Centre of High Intelligent Computing) 信息與系統工程研究小組的負責人，曾擔任查爾斯沃斯集團 (Charlesworth Group) IT 部門的團隊領導。
