Intro
About the Editors
Contents
On Diverse and Serendipitous Item Recommendation: A Reinforced Similarity and Multi-objective Optimization-Based Composite Recommendation Framework
1 Introduction
2 Related Work
2.1 End-User Personalized Traditional Recommendation System
2.2 Multi-Objective Recommendation Model
2.3 Motivation
3 Proposed Multi-stakeholder Recommendation Model
3.1 The Proposed Multi-objective Recommendation Framework (MORF)
3.2 Reinforced Similarity-Based Rating Prediction
3.3 Objective Functions
3.4 Evaluation Metrics
4 Experiments

4.1 Experimental Data
4.2 Competing Algorithm
4.3 Experimental Results Analysis and Discussion
5 Conclusion
References
Comparative Analysis of Node-Dependent and Node-Independent Graph Matrices for Brain Connectivity Network
1 Introduction
2 Methodology
2.1 Dataset
2.2 Brain Connectivity Network
2.3 Distance and Similarity Measures Calculation
3 Results
4 Conclusion and Future Scope
References
Facial Expression Recognition from Low Resolution Facial Segments Using Pre-trained Networks
1 Introduction
2 Related Work
3 Database and Pre-processing

3.1 Reduction in Spatial Resolution
4 Proposed Methodology
4.1 Spatial Exploitation-Based CNN (SEB-CNN)
4.2 Depth-Based CNN (DB-CNN)
4.3 Channel Exploitation-Based CNN (CEB-CNN)
5 Results
5.1 Results of SEB-CNN, DB-CNN and CEB-CNN on Full Face Low Resolution Images
5.2 Results of SEB-CNN, DB-CNN and CEB-CNN on Half Face Low Resolution Images
5.3 Results of SEB-CNN, DB-CNN and CEB-CNN on Quarter Face Low Resolution Images
6 Conclusion and Future Scope
References
Design and Analysis of Quad Element UWB MIMO Antenna with Mutual Coupling Reduction Techniques

1 Introduction
2 Antenna Design
3 Mimo System Design
3.1 Double-Sided MIMO Antenna
3.2 Decoupling Structure Technique
3.3 Neutralization Line Technique
3.4 Ground Plane Stub
4 Results Ad Discussion
5 Conclusion
References
Enhancing Agricultural Outcome with Multiple Crop Recommendations Using Sequential Forward Feature Selection
1 Introduction
2 Literature Review
3 Methodology
3.1 Dimensionality Reduction
3.2 Feature Subset Identification
3.3 Crop Prediction
4 Experimental Results and Discussion
5 Multi Crop Recommendation
6 Comparison

7 Conclusion and Future Enhancement
References
Kernel-Level Pruning for CNN
1 Introduction
2 Related Work
3 Methodology
4 Result and Analysis
5 Conclusion and Future Work
References
Linear Regression Model for Predicting Virtual Machine Consolidation Within the Cloud Data Centers (LrmP_VMC)
1 Introduction
2 Related Work
3 Design and Implementation
3.1 Overall Design
3.2 Architecture Diagram
3.3 Power Model
3.4 Evaluation and Selection
3.5 The Overall Proposed Algorithm
4 Simulation and Experimental Results
4.1 Experimental Setup