| Description |
1 online resource (512 p.) |
| Series |
Lecture Notes in Electrical Engineering ; v.959 |
|
Lecture notes in electrical engineering ; v. 959.
|
| Contents |
Intro -- Preface -- Contents -- About the Editors -- Intelligent Systems in Agriculture -- An Efficient Approach for Plant Leaf Species Identification Based on SVM and SMO and Performance Improvement -- 1 Introduction -- 2 Methodology -- 3 Spider Monkey Optimization Algorithm (SMO) -- 3.1 Population Initiation -- 3.2 Local Leader Phase (LLP) -- 3.3 Global Leader Phase (GLP) -- 4 Support Vector Machine -- 5 Simulation Results -- 6 Conclusion -- References -- Smart IoT-Based Pesticides Recommendation System for Rice Diseases -- 1 Introduction -- 2 Literature Survey -- 3 Methodology |
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3.1 Materials and Methodology -- 4 Results -- 4.1 Evaluation Metrics -- 4.2 Sensors Results and Readings -- 5 Conclusion -- References -- Classification of Tomato Leaf Diseases: A Comparison of Different Optimizers -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 4 Results and Discussion -- 5 Conclusion -- References -- Optimization of Rainfall Intensities Classification Based on Artificial Intelligence Using Recurrent Neural Network -- 1 Introduction -- 1.1 Data and Methodology -- 1.2 MSG Data and Radar Data -- 1.3 Selection of Input Parameters -- 1.4 RNN Model |
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1.5 Choice of RNN Architecture -- 2 Application and Classification Results -- 2.1 Application to a Scene -- 2.2 Application to All Scenes -- 3 Conclusion -- References -- Tomato Plant Leaf Disease Detection Using Inception V3 -- 1 Introduction -- 2 Related Research -- 3 Workflow for Tomato Plant Disease Detection -- 3.1 Inception V3 -- 3.2 Dataset Description -- 3.3 Intermediate Results of Model Training -- 4 Conclusion -- References -- Astute Farm Monitoring Using WSN and AI-A Solution for Optimally Monitoring Environmental Conditions -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work |
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3.1 Proposed System -- 3.2 Components Used in Proposed System -- 3.3 System Modules -- 4 Result and Discussion -- 4.1 Dataset Description and Experimental Setup -- 4.2 Evaluation Metrics -- 4.3 Result Analysis -- 5 Conclusion -- References -- Intelligent Systems in Internet of Things and Cloud Computing -- A Comprehensive Literature Review of Artificial Intelligent Practices in the Field of Penetration Testing -- 1 Introduction -- 2 Existing Automated Penetration Testing Models -- 3 Results and Discussion -- 4 Future Directions -- 5 Conclusions -- References |
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IoT-Cloud-Enabled Smart Framework for Real-World Applications -- 1 Introduction -- 1.1 Motivation for the Proposed Framework -- 2 Related Work -- 3 Proposed IoT-Cloud-Enabled Smart Framework for Real-World Applications -- 3.1 Sensor Connectivity and Network Phase -- 3.2 Gateway and Network Phase -- 3.3 Cloud Computing Phase -- 3.4 IoT-Cloud Applications Phase -- 4 Use Case Scenario (Air Quality Monitoring) -- 5 Various Real-World IoT-Cloud Applications -- 5.1 Smart Health Care -- 5.2 Smart Agriculture -- 5.3 Smart Home -- 5.4 Smart Environment Monitoring |
| Summary |
This book comprises the proceedings of the International Conference on Intelligent Systems and Applications (ICISA 2022). The contents of this volume focus on novel and modified artificial intelligence and machine learning-based methods and their applications in robotics, pharmaceutics, banking & finance, agriculture, food processing, crime prevention, smart homes, transportation, traffic control, and wildlife conservation, etc. This volume will prove a valuable resource for those in academia and industry. |
| Notes |
6 Related Challenges of IoT-Cloud-Enabled Applications |
| Subject |
Artificial intelligence -- Congresses
|
|
Artificial intelligence
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| Genre/Form |
proceedings (reports)
|
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Conference papers and proceedings
|
|
Conference papers and proceedings.
|
|
Actes de congrès.
|
| Form |
Electronic book
|
| Author |
Kulkarni, Anand J
|
|
Mirjalili, Seyedali.
|
|
Udgata, Siba Kumar
|
| ISBN |
9789811965814 |
|
9811965811 |
|
