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• Networks and Complex systems
• Collaborative learning over Cellular Automata
• An agent-based model for crowd simulation
• Chemical Neural Networks and Semantic Information investigated through Synthetic Cells
• Spread of perturbations in supply chain networks: the effect of the bow-tie organization on the resilience of the global automotive system
• An efficient implementation of Flux Variability Analysis for metabolic networks
• Exploring the solution space of cancer evolution inference frameworks for single-cell sequencing data
• Computational investigation of the clustering of droplets in widening pipe geometries
• Network Creation During Agglomeration Processes of Polydisperse and Monodisperse Systems of Droplets
• Artificial Chemistry Performed in an Agglomeration of Droplets with Restricted Molecule Transfer
• Modelling wet-dry cycles in the binary polymer model
• On the growth of chemical diversity
• Kernel-based early fusion of structure and attribute information for detecting communities in attributed networks
• Cultural Innovation Triggers Inequality in a Sharing Economy
• Metaheuristics, robotics, and machine learning
• Online adaptation of robots controlled by nanowire networks: A preliminary study
• The role of dynamical regimes of online adaptive BN-robots in noisy environments
• A novel evolutionary approach for Neural Architecture Search
• Single and Multi-objective Genetic Programming Methods for Prediction Intervals
• Green design of Single Frequency Networks by Multiband Robustness and a hybrid metaheuristic
• WanDa: A Mobile Application to Prevent Wandering
• Magnetic Devices Behavioral Modeling based on Genetic Programming and Neural Networks
• Evolutionary Stitching of Plot Units with Character Threads
• Impact of Morphology Variations on Evolved Neural Controllers for Modular Robots
• EGSGP: an Ensemble System Based on Geometric Semantic Genetic Programming
• Real-time monitoring tool for SNN hardware architecture.

This book constitutes the refereed proceedings of the 16th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2022, held in Gaeta, Italy, during September 14-16, 2022. The 21 full papers and 3 short papers included in this book were carefully reviewed and selected from 45 submissions. They were organized in topical sections as follows: answer set programming; networks and complex systems, metaheuristics, robotics, and machine learning.

• Evolutionary Computation & Swarm Intelligence
• Surrogate Model-Assisted Evolutionary Algorithms for Parameter Identification of Electrochemical Model of Lithium-Ion Battery: A Comparison Study
• Research on Multi-modal Multi-Objective Path Planning by Improved Ant Colony Algorithm
• Local Path Planning Algorithm Designed for Unmanned Surface Vessel Based on Improved Genetic Algorithm
• A Multi-Objective Particle Swarm Algorithm Based on a Preference Strategy
• An Improved Harris Hawk Optimization Algorithm Based on Spiral Search and Neighborhood Perturbation
• S-Plane Controller Parameter Tuning Based on IAFSA for UUV
• A Reinforcement-Learning-Driven Bees Algorithm for Large-Scale Earth Observation Satellite Scheduling
• Optimal Formation of UUV Groups Based on Shape Theory and Improved Ant Colony Algorithm Under Communication Delay
• Global Path Planning for Unmanned Ships Based on Improved Particle Swarm Algorithm
• A Self-Adaptive Single-objective Multitasking Optimization Algorithm
• Improved Whale Optimization Algorithm by Multi-mechanism Fusion
• Multi-stage Objective Function Optimized Hand-Eye Self-calibration of Robot in Autonomous Environment
• An Improved Chaos-based Particle Swarm Optimization Algorithm
• Task Location Distribution based Genetic Algorithm for UAV Mobile Crowd Sensing
• The Utilities of Evolutionary Multiobjective Optimization for Neural Architecture Search An Empirical Perspective
• Research on Unmanned Ship Collision Avoidance Algorithm based on Improved Particle Swarm Pptimization Algorithm
• Solving Constrained Multi-objective Optimization Problems with Passive Archiving Mechanism
• A Comparison of Large-scale MOEAs with Informed Initialization for Voltage Transformer Ratio Error Estimation
• Enabling Surrogate-assisted Evolutionary Reinforcement Learning via Policy Embedding
• An Improved MPCA Algorithm with Weight Matrix Based on Many-objective Optimization
• Machine Learning & Deep Learning
• Research on Helmet Wearing Detection Based on Improved YOLOv4 Algorithm
• Research on Target Detection Algorithm of Unmanned Surface Vehicle Based on Deep Learning
• A Review On Bio-inspired Fluid Mechanics Via Deep Reinforcement Learning
• Memristor-Based Neural Network Circuit of Operant Conditioning with Overshadowing
• Continual Learning with a Memory of Non-similar Samples
• Research on Soil Moisture Prediction Based on LSTM-Transformer Model
• Graph Contrastive Learning with Intrinsic Augmentations
• Research on Global Collision Avoidance Algorithm for Unmanned Ship Based on Improved Artificial Potential Field Algorithm
• OCET: One-dimensional Convolution Embedding Transformer for Stock Trend Prediction
• A Rapid, Precise Spiking Neural Network Approach for Image Recognition
• Research on Improved Image Dehazing Algorithm Based on Dark Channel Prior
• Reinforcement Learning Based Vertical Scaling for Hybrid Deployment in Cloud Computing
• Swing-up and Balance Control of Cart-pole Based on Reinforcement Learning DDPG
• Yolov5 Outdoor Dynamic Object Detection Based on Multi-scale Feature Fusion
• Intelligent Control & Simulation
• Multi-UUV Formation Cooperative Full-area Coverage Search Method
• Multi-scale Simulations of Flow in the Upper Open Area of a Luxury Cruise Ship
• Research on Course Control Algorithm of Unmanned Craft based on Model Predictive Control
• Multi-UUV Underwater Target Cooperative Detection Task Planning and Assignment
• Multi-UUV Cooperative Navigation and Positioning Algorithm under Communication Delay
• The Research of the Consistency Control under The Condition of Time-lag of Isomerism AUV Group Communication
• Non-uniform Deformation Behavior of Magneto-sensitive Elastomer Containing Uniform Sphere Particles with V Arrangement
• Study on the Influence of Exit Width Change on Heterogeneous Passengers Evacuation based on the Social Force Model
• A Review of Longitudinal Vibration and Vibration Reduction Technology of Propulsion Shafting
• Design and Simulation of Heading Controller for Unmanned Boat Based on Fuzzy Neural PID
• Flexible Formation Control of Multiple Unmanned Vehicles based on Artificial Potential Field Method
• Local Path Planning Combined with the Motion State of Dynamic Obstacles
• Simulation of Airflow Characteristics of a Seabird Following a Ship Based on Steady States
• Numerical Simulation of Bionic Undulating Fin Surface Drag Reduction Structure
• Molecular Computing & Nanotechnology
• Integrated Design and Absorbing Performance Analysis for Periodic Wave Absorbing and Bearing Structures
• Diffusion Optimization Algorithm Based on Membrane Calculation
• Tuning Geometric Conformations of Curved DNA Structures by Controlling Positions of Nicks
• A Sensitive Nanothermometer Based on DNA Triplex Structure
• Microwave Absorption Properties of Double-layer Absorbing Material Based on Carbonyl Iron and Graphene Composites
• Reconfigurable Nanobook Structure Driven by Polymerase-triggered DNA Strand Displacement
• An Analysis for Thermal Conductivity of Graphene/polymer Nanocomposites
• Simulation of Aflatoxin B1 Detection Model Based on Hybridization Chain Reaction.

This book constitutes the refereed proceedings of the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, held in Wuhan, China, during December 1618, 2022. The 56 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: evolutionary computation and swarm intelligence; machine learning and deep learning; intelligent control and simulation and molecular computing and nanotechnology.

• Applications of Evolutionary Computation
• Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications
• Computational Intelligence for Sustainability
• Evolutionary Computation in Edge, Fog, and Cloud Computing
• Evolutionary Machine Learning
• Machine Learning and AI in Digital Healthcare and Personalized Medicine
• Resilient Bio-Inspired Algorithms
• Soft Computing applied to Games
• Surrogate-Assisted Evolutionary Optimisation.

This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2023, held as part of Evo*2023, in April 2023, co-located with the Evo*2023 events EuroGP, EvoCOP, and EvoMUSART. The EuroGP focused on the technique of genetic programming, EvoCOP targeted evolutionary computation in combinatorial optimization, and EvoMUSART was dedicated to evolved and bio-inspired music, sound, art, and design. The EvoApplications 2023 presents papers on the different areas: Analysis of Evolutionary Computation Methods: Theory, Empirics, and Real-World Applications, Applications of Bio-inspired Techniques on Social Networks, Evolutionary Computation in Edge, Fog, and Cloud Computing, Evolutionary Computation in Image Analysis, Signal Processing, and Pattern Recognition and others.

• Fairer comparisons for Travelling Salesman Problem solutions using Hash Functions
• Application of Adapt-CMSA to the Two-Echelon Electric Vehicle Routing Problem with Simultaneous Pickup and Deliveries
• Real-World Vehicle Routing using Adaptive Large Neighborhood Search
• A Multilevel Optimization Approach for Large Scale Battery Exchange Station Location Planning
• A memetic algorithm for deinterleaving pulse trains
• Application of Negative Learning Ant Colony Optimization to the Far From Most String Problem
• Monte Carlo Tree Search with Adaptive Simulation: a Case Study on Weighted Vertex Coloring
• Evolutionary Strategies for the Design of Binary Linear Codes
• A Policy-Based Learning Beam Search for Combinatorial Optimization
• Cooperative Coevolutionary Genetic Programming Hyper Heuristic for Budget Constrained Dynamic Multi-workflow Scheduling in Cloud Computing
• OneMax is not the Easiest Function for Fitness Improvements
• The Cost of Randomness in Evolutionary Algorithms: Crossover Can Save Random Bits
• Multi-objectivization Relaxes Multi-funnel Structures in Singleobjective NK-landscapes
• Decision/Objective Space Trajectory Networks for Multi-objective Combinatorial Optimisation
• On the e_ect of solution representation and neighborhood definition in AutoML Fitness Landscapes.

This book constitutes the refereed proceedings of the 23rd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2023, held as part of Evo*2023, in Brno, Czech Republic in April 2023, co-located with the Evo*2023 events: EvoMUSART, EvoApplications, and EuroGP. The 15 revised full papers presented in this book were carefully reviewed and selected from 32 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.

• Networks
• Dynamical criticality in growing networks
• Effective Resistance based Weight Thresholding for Community Detection
• An Oracle for the Optimization of Underconstrained Compositions of Neural Networks - The Tick Hazard Use Case
• Droplets, Fluids, and Synthetic Biology
• Obstacles on the Pathway towards Chemical Programmability using Agglomerations of Droplets
• The Good, the Bad and the Ugly: droplet recognition by a "shootout"-heuristics
• Exploring the three-dimensional arrangement of droplets
• Geometric restrictions to the agglomeration of spherical particles
• Effectiveness of Dynamic Load Balancing in Parallel Execution of a Subsurface Flow Cellular Automata Model
• Two possible AI-related paths for bottom-up synthetic cell research
• Robot Systems
• A hybrid control system architecture for a mobile robot to provide an energy-efficient and fast data processing
• On the evolution of mechanisms for collective decision making in a swarm of robots
• A novel online adaptation mechanism in artificial systems provides phenotypic plasticity
• Computer Vision and Computational Creativity
• Exploration of Genetic Algorithms and CNN for Melanoma Classification
• Using Genetic Algorithms to optimize a deep learning based system for the prediction of cognitive impairments
• Autonomous inspections of power towers with an UAV
• Self-organizing Maps of Artificial Neural Classifiers - a Brain like Pin Factory
• Evolutionary Music: Statistical Learning and Novelty for automatic improvisation
• Semantic Search
• ARISE: Artificial Intelligence Semantic Search Engine
• Artificial Medicine and Pharmacy
• Influence of the Antigen Pattern Vector on the Dynamics in a Perceptron-based Artificial Immune - Tumour-Ecosystem during and after Radiation Therapy
• Two-level detection of dynamic organization in cancer evolution models
• Artificial chemical neural network for drug discovery applications
• Trade and Finance
• Information Flow Simulations in Multi-Dimensional and Dynamic Systems
• Investigation of the Ramsey-Pierce-Bowman Model
• Ethics in Computational Modelling
• Ethical Aspects of Computational Modelling in Science, Decision Support and Communication.

This book constitutes the proceedings of the 15th Italian Workshop on Artificial Life and Evolutionary Computation, WIVACE 2021, held in Winterthur, Switzerland, in September 2022. The 14 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 25 submissions. The papers are organized in the following topical sections: Networks; Droplets, Fluids, and Synthetic Biology; Robot Systems; Computer Vision and Computational Creativity; Semantic Search; Artificial Medicine and Pharmacy; Trade and Finance; Ethics in Computational Modelling.

• Intro
• Preface
• Organization
• Contents
• Applications of Evolutionary Computation
• An Enhanced Opposition-Based Evolutionary Feature Selection Approach
• 1 Introduction
• 2 Moth Flame Optimization
• 2.1 Binary Moth Flame Optimization
• 2.2 Binary Moth Flame Optimization for Feature Selection
• 3 The Proposed Approach
• 3.1 Initialization Using Opposition-Based Method
• 3.2 Retiring Flame
• 4 Experimental Setup and Results
• 5 Conclusions
• References
• A Methodology for Determining Ion Channels from Membrane Potential Neuronal Recordings
• 1 Introduction

• 2 Conductance-Based Model Description
• 3 Defining a Benchmark with Known Types of Ion Channels
• 4 Methodology and Experimental Setup
• 5 Experimental Results
• 6 Conclusions
• A Mathematical Description of the Models
• B Experimental Setup and Parameter Ranges
• References
• Swarm Optimised Few-View Binary Tomography
• 1 Introduction
• 2 Binary Tomographic Reconstruction
• 3 Swarm Optimisation
• 4 Constrained Search in High Dimensions
• 5 Reconstructions
• 6 Results
• 7 Discussion
• 8 Conclusions
• References

• Comparing Basin Hopping with Differential Evolution and Particle Swarm Optimization
• 1 Introduction
• 2 The Metaheuristics Studied
• 2.1 Basin Hopping
• 2.2 Differential Evolution
• 2.3 Particle Swarm Optimization
• 3 The Benchmarking Environment
• 4 Experimental Setup
• 5 Experimental Results
• 6 Conclusions
• References
• Combining the Properties of Random Forest with Grammatical Evolution to Construct Ensemble Models
• 1 Introduction
• 2 Methodology
• 2.1 Structured Grammatical Evolution
• 2.2 Random Structured Grammatical Evolution for Symbolic Regression Problems

• 3 Experimental Setup
• 3.1 Study Problems
• 3.2 Configuration of the Algorithms
• 4 Results
• 5 Conclusions
• References
• EvoCC: An Open-Source Classification-Based Nature-Inspired Optimization Clustering Framework in Python
• 1 Introduction
• 2 Related Works
• 3 Methodology
• 4 Framework Overview
• 4.1 Parameters
• 4.2 Datasets
• 4.3 Clustering with EvoCluster
• 4.4 Classification
• 4.5 Evaluation Measures
• 4.6 Results Management
• 5 Experiments and Visualizations
• 6 Conclusion and Future Works
• References
• Evolution of Acoustic Logic Gates in Granular Metamaterials

• 1 Introduction
• 2 Problem Statement
• 3 Simulation Setup
• 3.1 2D Granular Simulator
• 3.2 Optimization Method
• 4 Results and Discussion
• 4.1 Evolution of an Acoustic Band Gap
• 4.2 Evolving an AND Gate
• 4.3 Evolving an XOR Gate
• 5 Conclusion and Future Work
• References
• Public-Private Partnership: Evolutionary Algorithms as a Solution to Information Asymmetry
• 1 Introduction
• 2 The Problem
• 3 Proposed Approach
• 3.1 The Model
• 3.2 Data
• 3.3 Adversarial Optimization
• 3.4 Operator (EA1)
• 3.5 Public Administration (EA2)
• 4 Experimental Evaluation

This book constitutes the refereed proceedings of the 25th International Conference on Applications of Evolutionary Computation, EvoApplications 2022, held as part of Evo*2022, in April 2022, co-located with the Evo*2022 events EuroGP, EvoCOP, and EvoMUSART. The 46 revised full papers presented in this book were carefully reviewed and selected from 67 submissions. .
(source: Nielsen Book Data)

• Chapter 1. Design and Construction of a Dual Axis Solar Tracking System by Astronomical Algorithm.-
• Chapter 2. Estimation of Magnetic Flux linkage in SRM using various defuzzification techniques.-
• Chapter 3. Multilevel Inverter based STATCOM for Distribution System.-
• Chapter 4. Sensitivity Analysis and Design Optimization of Synchronous Reluctance and Permanent Magnet Motors.-
• Chapter 5. A New Heuristic algorithm for Economic Load Dispatch incorporating wind power.-
• Chapter 6. Enhanced Grasshopper Optimization Algorithm For Numerical Optimization.-
• Chapter 7. Eco-Routing - To Reduce Vehicle CO2 Emissions by CACC: An IoT Application.-
• Chapter 8. Fuzzy Sliding Mode Control of DC-DC Boost Converter with Right-Half Plane Zero.-
• Chapter 9. Liquid Level Control of Non Linear Process Using Big Bang - Big Crunch Optimization Based Controller.-
• Chapter 10. Impact of PV Cells and MPPT Controller on Power System Dynamics.-
• Chapter 11. Wavelet Feature Based Microcalcification Detection in Mammogram.-
• Chapter 12. Reliable Radiation Hardened Memory Cells for Single-Event Multiple Effects.-
• Chapter 13. Finger Vein Identification Using Deep Convolutional Generative Adversarial Networks.-
• Chapter 14. Computer Aided Detection of Malignant Mass in Mammogram using U-Net Architecture.-
• Chapter 15. Visualization and Evaluation of Methane Gas Leakage by Thermal Image Processing using Supervised Deep Learning Models.
• (source: Nielsen Book Data)

This book gathers selected papers presented at the 6th International Conference on Artificial Intelligence and Evolutionary Computations in Engineering Systems, held at the Anna University, Chennai, India, from 20 to 22 April 2020. It covers advances and recent developments in various computational intelligence techniques, with an emphasis on the design of communication systems. In addition, it shares valuable insights into advanced computational methodologies such as neural networks, fuzzy systems, evolutionary algorithms, hybrid intelligent systems, uncertain reasoning techniques, and other machine learning methods and their application to decision-making and problem-solving in mobile and wireless communication networks.
(source: Nielsen Book Data)

• On Monte Carlo Tree Search for Weighted Vertex Coloring.- A RNN-based Hyper-heuristic for combinatorial problems.- Algorithm Selection for the Team Orienteering Problem.- Performance evaluation of a parallel ant colony optimization for the real-time train routing selection problem in large instances.- Deep Infeasibility Exploration Method for Vehicle Routing Problems.- Evolutionary Algorithms for the Constrained Two-Level Role Mining Problem.- Simplifying Dispatching Rules in Genetic Programming for Dynamic Job Shop Scheduling.- Novelty-Driven Binary Particle Swarm Optimisation for Truss Optimisation Problems.- A Beam Search for the Shortest Common Supersequence Problem Guided by an Approximate Expected Length Calculation.- Modeling the Costas Array Problem in QUBO for Quantum Annealing.- Penalty Weights in QUBO formulations: Permutation Problems.- PUBOi: a tunable benchmark with variable importance.- Stagnation Detection meets Fast Mutation.
• (source: Nielsen Book Data)

This book constitutes the refereed proceedings of the 22nd European Conference on Evolutionary Computation in Combinatorial Optimization, EvoCOP 2022, held as part of Evo*2022, in Madrid, Spain, during April 20-21, 2022, co-located with the Evo*2022 events: EvoMUSART, EvoApplications, and EuroGP. The 13 revised full papers presented in this book were carefully reviewed and selected from 28 submissions. They present recent theoretical and experimental advances in combinatorial optimization, evolutionary algorithms, and related research fields.
(source: Nielsen Book Data)

• Improved Grey wolf Optimization based Feature selection and classification using CNN for Diabetic Retinopathy detection.- Feature Selection Using Modified Sine Cosine Algorithm with COVID-19 Dataset.- Blood Cell Image Denoising based on Tunicate Rat Swarm Optimization with Median Filter.- A Hybrid Approach for Deep Noise Suppression using Deep Neural Networks.- Human Health Care Systems Analysis for Cloud Data Structure of Biometric System using ECG Analysis.- Data mining for Solving Medical Diagnostics Problems.- Classification of Diabetic Retinopathy using Ensemble of Machine Learning Classifiers with IDRID Dataset.- Epileptic Seizure Prediction Using Geometrical Features Extracted From HRV Signal.- An Extensive Survey on Outlier Prediction using Mining and Learning Approaches.- Performance Comparison of Data Security Strategies in Fog Computing.- Design and Simulation of a Direct-PSK Based Telecommand Receiver for Small Satellite
• Analysis of Data Aggregation and Clustering Protocol in Wireless Sensor Networks using Machine Learning.- DetecSec : A Framework to Detect and Mitigate ARP Cache Poisoning Attacks.- PAPR Reduction in SDR based OFDM System.
• (source: Nielsen Book Data)

This book mainly reflects the recent research works in evolutionary computation technologies and mobile sustainable networks with a specific focus on computational intelligence and communication technologies that widely ranges from theoretical foundations to practical applications in enhancing the sustainability of mobile networks. Today, network sustainability has become a significant research domain in both academia and industries present across the globe. Also, the network sustainability paradigm has generated a solution for existing optimization challenges in mobile communication networks. Recently, the research advances in evolutionary computing technologies including swarm intelligence algorithms and other evolutionary algorithm paradigms are considered as the widely accepted descriptors for mobile sustainable networks virtualization, optimization, and automation. To deal with the emerging impacts on mobile communication networks, this book discusses about the state-of-the research works on developing a sustainable design and their implementation in mobile networks. With the advent of evolutionary computation algorithms, this book contributes varied research chapters to develop a new perspective on mobile sustainable networks.
(source: Nielsen Book Data)

• Swarm Intelligence and Its Applications.- Operational Technologies and Networked Multimedia Applications.- Wearable Computing and Intelligent Data Hiding.- Image Processing and Intelligent Applications.- Intelligent Multimedia Tools and Applications.- Technologies for Next-Generation Network Environments.- Recent Progress in Computational Electromagnetic Dynamics.- Future Cyber Security, Privacy and Forensics for Advanced systems.- Data Mining Techniques and its Applications.- Optimization Models in Deep Learning/Machine Learning.
• (source: Nielsen Book Data)

This book contains selected papers presented at ICGEC 2021, the 14th International Conference on Genetic and Evolutionary Computing, held from October 21-23, 2021 in Jilin City, China. The conference was technically co-sponsored by Springer, Northeast Electric Power University Fujian University of Technology, Shandong University of Science and Technology, and Western Norway University of Applied Sciences. It is intended as an international forum for the researchers and professionals in all areas of genetic and evolutionary computing. And the readers may learn the up-to-date techniques of the mentioned topics, including swarm intelligence, artificial intelligence, information hiding and data mining techniques, which can help them to bring new ideas or apply the designed approaches from the collected papers to their professional jobs.
(source: Nielsen Book Data)

• Automated Flower Species Identification by using Deep convolution neural network
• Information Retrieval for Cloud Forensics
• Machine Translation System Combination with Enhanced Alignments using Word Embeddings
• Geometry Based Machining Feature Retrieval with Inductive Transfer Learning
• Grapheme to phoneme conversion for Malayalam Speech Using encoder-decoder Architecture
• Usage of Block Chain Technology in e-Voting System using Private Block Chain
• Bengali Visual Genome: A Multimodal Dataset for Machine Translation and Image Captioning
• Deep Learning based Mosquito Species detection using Wingbeats frequencies
• Developments in Capsule Network Architecture: A Review
• Computer aided segmentation of polyps using Mask R-CNN and approach to reduce false positives
• Image GPT with Super Resolution.

This book presents the proceedings of the 9th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA 2021), held at NIT Mizoram, Aizwal, Mizoram, India, during June 25-26, 2021. FICTA conference aims to bring together researchers, scientists, engineers, and practitioners to exchange their new ideas and experiences in the domain of intelligent computing theories with prospective applications to various engineering disciplines. This volume covers broad areas of Intelligent Data Engineering and Analytics. The conference papers included herein presents both theoretical as well as practical aspects of data intensive computing, data mining, big data, knowledge management, intelligent data acquisition and processing from sensors, data communication networks protocols and architectures, etc. The volume will also serve as a knowledge centre for students of post-graduate level in various engineering disciplines. .