Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
Bibliographische Detailangaben
- Titel
- Artificial Intelligence Trends for Data Analytics Using Machine Learning and Deep Learning Approaches
- verantwortlich
- ; ;
- veröffentlicht
- Erscheinungsjahr
- 2020
- Teil von
- Artificial Intelligence (AI): Elementary to Advanced Practices Ser.
- Erscheint auch als
- Artificial intelligence trends for data analytics using machine learning and deep learning approaches, Boca Raton : CRC Press, Taylor & Francis Group, 2021, xvi, 250 Seiten
- Andere Ausgaben
-
Artificial intelligence trends for data analytics using machine learning and deep learning approaches
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- Zusammenfassung
- Cover -- Half Title -- Series Page -- Title Page -- Copyright Page -- Contents -- Preface -- Acknowledgment -- Editors -- Contributors -- Chapter 1: An Artificial Intelligence System Based Power Estimation Method for CMOS VLSI Circuits -- Contents -- 1.1. Introduction -- 1.1.1. Previous Work Using BPNN and ANFIS -- 1.2. Training and Testing Data -- 1.3. Power Estimation Using a Neural Network -- 1.3.1. Construction of a Neural Network -- 1.3.2. BPNN Training Phase -- 1.3.3. BPNN Testing Phase -- 1.3.4. Network Parameters -- 1.4. Proposed Power Estimation Using ANFIS Technique -- 1.4.1. Overview of the Proposed Work -- 1.4.2. Training and Checking Used in ANFIS -- 1.4.3. Designing the ANFIS -- 1.5. Results and Discussions -- 1.5.1. BPNN-Based Method -- 1.5.2. Calculating Prediction Error -- 1.5.3. ANFIS-Based Method -- 1.5.4. Performance Evaluation -- 1.6. Conclusion -- References -- Chapter 2: Awareness Alert and Information Analysis in Social Media Networking Using Usage Analysis and Negotiable Approach -- Contents -- 2.1. Introduction -- 2.1.1. Literature Survey -- 2.2. Usage Analysis and Negotiable (UAN) Approach -- 2.3. Age Categorization Usage Analysis -- 2.3.1. Rules Defined for 18-25 Age Categorization -- 2.3.2. Rules Defined for 26-30 Age Categorization -- 2.3.3. Rules Defined for 31-35 Age Categorization -- 2.4. User View Analysis -- 2.4.1. Likes and Dislikes Views -- 2.4.2. Comments Posting Category -- 2.4.3. Content Sharing -- 2.5. User Interested Test Rate (UITR) Analysis Algorithm -- 2.5.1. Rating Statement Analysis -- 2.5.1.1. Like and Dislikes Rating Algorithm -- 2.5.1.2. Comments Posting -- 2.5.1.3. Content Sharing -- 2.6. Feedback Analysis -- 2.7. Result and Discussions -- 2.8. Conclusion -- References -- Chapter 3: Object Detection and Tracking in Video Using Deep Learning Techniques: A Review -- Contents -- 3.1. Introduction.
- Umfang
- 1 online resource (267 pages)
- Sprache
- Englisch
- Schlagworte
- BK-Notation
- 54.72 Künstliche Intelligenz
- DDC-Notation
- 6.3 ; 006.3
- ISBN
-
9781000179538