Abstract: The special session focuses on the Computational Intelligence (CI), that is represented by the three subjects, Evolutionary Computation (EC), Fuzzy Logic (FL) and Neural Networks (NNs), starting from fuzzy neural or genetic systems, to the more recent computational frameworks such as deep learning and natural language processing, the subject of CI has widened and grown to traverse many disciplines and application domains. emerging scientific and technological areas in which Intelligent computing system provides effective solutions to a complex problem. Computational intelligence models and systems deploys computational methodologies to address real world problem along with the complete solution based on mathematical foundation of computing system. The Conference invites papers from researchers, academicians, and other professionals in Artificial Intelligence, Big Data, Sensors, Intelligent Computing, Machine Learning, and related areas to meet and perceive new innovations.At the same time, this growth has made evident the lack of consistent theoretical knowledge based onCI systems and have them express their full potential while addressing the real-world scenarios. The conference providing a major international forum where the creation and exchange of ideas related to Recent Advancement on Computational Intelligence Techniques and Applicationsin the most heterogeneousfields, such as e.g. finance, medicine, precision agriculture andaviation, as well as in numerous information systems.
Tracks: This special session sought original research contributions and review articles in the following domains (but not restricted to):

 Big data analytics
 Application of deep learning
 E-governance
 Hybrid systems based on intelligent computational techniques
 Machine Learning Perspective on Social Network Analysis
 Recommendation Systems
 Health-monitoring
 E-learning
 Precision Agriculture
 Crop Recommendation System
 Smart cities and Sustainable Goals Developments
 Expert systems
 Applications of intelligent computing in various domains: Big data, IoT, industry 4.0, etc.
 Intelligent computing algorithms
 Evolutionary Computing
 Artificial Immune Systems
 Fuzzy Logic & Soft Computing Techniques
 Design System & Algorithm

Abstract: With new generation of computing optimization algorithms are also changing with the introduction of machine learning and deep learning mechanism. The new generation of algorithm comes with new promises of improvement in existing models. Cloud, IoT and Fog computing deals with many such optimization models which can improved with increase in performance of system. Many algorithms like task allocation, virtual machine scheduling, migration algorithm, power efficient systems, trust models and scaling algorithm are few oc the existing problem in cloud which come with great scope of improvement in system that can be achieved using algorithms inspired from nature and latest prediction algorithms. This issue aims to gather all such work and not limited to cloud or IoT. Any system whose performance can be improved using new generation algorithms.
Tracks: This special session sought original research contributions and review articles in the following domains (but not restricted to):

 Optimization algorithm
 ML and AI based approaches
 Task scheduling
 Resource allocation  Virtual machine migration
 Power efficient algorithms
 Trust and fault aware algorithms
 Security protocols for cloud
 Resource scaling in cloud
 Bio-inspire algorithm for scheduling in cloud.

Abstract: Evolutionary Computing techniques mostly involve meta-heuristic optimization algorithms.Evolutionary computation techniques can produce highly optimized solutions in a wide range of problem settings, making them popular in computer science. Most popular evolutionary computing techniques like PSO, ACO, Genetic Algorithm, and Spider Monkey Algorithm etc. have shown remarkable performance in solving the complex problems of various engineering field like computer science, electrical and electronics engineering. In this special issue “Applications of Evolutionary Computing in Computer Scienceb ”we aim to explore the complexity and challenges in adopting the various areas of computer science via involvement of evolutionary computing techniques.
Tracks: This special session sought original research contributions and review articles in the following domains (but not restricted to):

 Solutions to Classical Scheduling Problems
 Solutions to Vehicle routing problems.
 Applications of Evolutionary–computing in Image Processing.
 Applications of Evolutionary–computing in Sentimental Analysis, Recommender System
 Software Testing.
 Information Retrieval.
 Software Cost Estimation Models.
 Applications of Supervised Learning Techniques in Software Engineering.
 Applications of Clustering Techniques in Software Engineering.
 Solving classical problems like TSP, Graph Coloring Problem, N-Queen problem, Knapsack Problem.

Abstract: The explosion of Smart Communications in Network Technologies has resulted in the growing smart communications fields embedded in complex systems for a wide variety of applications in the future generation of network technologies. Current trends are to propose new smart communication systems and architectures that manage and control future emerging networks: 5G networks, Software-defined networks, Cloud networks, Smart grids, Smart cities, Smart industries, etc. The Special Session focuses on the most recent advancements in the design of smart communication systems and networks as well as focuses on the impact not only on network technologies (protocols, equipment, algorithms, power, etc.), but also on creating collective and individual awareness about the multiple sustainability threats which our society is facing nowadays at social and environmental levels. This Special Session will bring together researchers from diverse fields and specialization, such as computer engineering, computer science, information technology, electronics & communication engineering, and mathematics. We invite papers of researchers from industry, academia and government organization to discuss challenging ideas and novel research contributions, demonstrate results, and share standardization efforts on the design of smart communication networks and related areas.
Tracks: This special session sought original research contributions and review articles in the following domains (but not restricted to):

 Network architectures and algorithms
 Enterprise, datacenter, and storage area networks
 Software-defined networks
 Network programming
 Network functions virtualization
 Cellular and broadband wireless networks
 Wireless sensor networks
 Mobile ad-hoc networks
 Experimental results from operational networks or network applications
 Economic aspects of the Internet
 Energy-aware communication
 Network management
 Network security and privacy
 Network, transport, and application-layer protocols
 Fault-tolerance, reliability, and troubleshooting
 Operating system and host support for networking
 P2P, overlay, and content distribution networks
 Resource management, QoS, and signaling
 Routing, traffic engineering, switching, and addressing
 Energy optimization
 Architecture and protocol for wireless sensor networks
 Routing innovation for smart communications
 Innovative uses of network data beyond communication
 Spectrum utilization and Massive MIMO Communications
 Next-generation networks for smart cities
 Service oriented networks
 Device-to-Device Communications and networking
 5G wireless technologies and Virtualization
 Cloud and Mobile Edge Computing
 Cloud-based 5G mobile architectures
 Internet of things
 Techniques of sensing, actuation and recognition
 Real-time network based structure using sensors, actuators and transducers
 Context awareness using sensor networks
 Vehicular applications of autonomous behavior
 Networks of Unmanned Arial vehicles
 Software Engineering and networking

Abstract: : Now a day’s machine learning have been widely adopted and introduced in the areas of engineering, manufacturing, weather monitoring, transportation etc. to collect data to improve the quality of decision making, but issues arise, such as large volumes of data, incomplete and incompatible data sets and noise data etc. that prevent from realizing the true value and exploiting their full potentials. Machine learning and deep learning methods have been used as powerful tools to perform feature detection/extraction and trend estimation in image processing applications. Supervised machine learning methods, can be exploited in the applications pertinent to prediction and classification, whereas unsupervised machine learning can be utilized for data de-noising.
The objective of this special session is to concentrate on all aspects and future research directions related to neural networks and deep learning based methods for smart systems.
Tracks: This special session sought original research contributions and review articles in the following domains (but not restricted to):

 New Supervised Machine Learning Methods & Applications
 Novel Reinforcement Learning Methods
 New Optimization Methods for Machine Learning and the applications
 Unsupervised Machine Learning Methods & Applications

Abstract: : Computational Intelligence (CI) encompasses a broad set of techniques such as data mining, machine learning, deep learning, big data, the internet of things, and artificial intelligence. Intelligent systems are technologically advanced machines that perceive and respond to the world around them. Intelligent systems can take many forms, from automated vacuums such as the Roomba to facial recognition programs to Amazon's personalized shopping suggestions.
Cyber security is information security as applied to computing devices such as computers and smartphones, as well as computer networks such as private and public networks, including the Internet.
Given the high academic and industrial impact of researching in computational intelligence and intelligent systems for cyber security for the sake of beneficial effects on society, this special session will cover basic trends, applications and challenges through theoretical or application-based contributions underlying the construction of secure systems starting from hardware and software and ending at the human-computer interface. Accordingly, it is possible to expect cryptography usage to enable secure interactions.
This Special session aims at addressing advances in research on Computational Intelligence and Intelligent Systems for cyber security. It aims to encourage researchers and practitioners to exchange and share their experiences. All papers exploring state-of-the-art solutions in the form of extended reviews or advanced research papers are especially welcome.

Tracks: The topics which are covered in this session (but not limited to) :

 Artificial intelligence for cryptography
 Cyber-physical systems
 Complex networks algorithms for cyber security
 Intelligent solutions for healthcare medical devices
 Knowledge Discovery
 Security in cloud services
 Decision Support Systems
 Intelligent intrusion detection
 Bio-inspired computing
 Genetic Algorithms
 Intelligent systems for safety and security of smart cities
 Predication and Detection Using Machine Learning
 Human-computer interaction security or usable security
 Security in wireless sensor networks
 Data science for malware detection
 IoT security
 Intelligent frameworks for privacy protection
 Business intelligence
 Expert systems in cyber security
 Intelligent information retrieval

Abstract: : The device ecosystem is growing rapidly these days. Besides the volume, the variety and value of devices is simply mesmerizing. Due to continuous innovations in the device landscape and the faster stability and maturity of a bevy of enabling technologies, we have been hearing about, reading, and even experiencing scores of state-of-the-art devices. In short, our everyday devices are accordingly instrumented, systematically interconnected and artistically intelligent to be right and relevant for us. With the faster adoption of edge technologies such as single board computers (SBCs), programmable logic controllers (PLCs), robots, drones, advanced processors (GPUs, TPUs, FPGAs, etc.), microchips, path-breaking actuators, minuscule sensors, tags, codes, stickers and controllers, illuminating beacons, LEDs, etc., all kinds of physical, mechanical, electrical and electronics systems in our everyday environments are empowered technologically to join in the mainstream computing.
Precisely speaking, the edge era is all set to dawn on us in a dramatic and decisive way. Having understood the profound significance of edge /fog devices for realizing deeper automation and augmentation in setting up and sustaining next-generation business and people-centric applications, we have methodically designed and developed a highly reliable, robust and versatile edge applications development and deployment platform. The distinct trait and tenet of this edge platform is the usage of microservices architecture (MSA), event-driven architecture (EDA), containerization, orchestration platforms, in-memory databases, etc. For this workshop, we solicit papers dealing with the following topics.
What we intent to cover:

 The Explosion of IoT Devices
 Next-Generation IoT Devices Applications and Services
 Edge/Fog Computing
 Serverless Computing at Edge
 Edge device clouds/clusters
 Platforms for Edge Computing
 IoT Device Gateways
 5G Communication for Sophisticated IoT Applications
 Edge device data analytics (Fast and Streaming Analytics)
 Real-time Edge Applications
 Kubernetes-based lightweight platforms for automated edge application deployment, scaling, scheduling and healing
 Realizing “Intelligence at Edge” through Machine and Deep Learning (ML/DL) Algorithms on Edge Devices
 The Blockchain Technology for IoT Edge Devices and Data Security
 Event Mesh for Integrated and Insightful Applications
 Cloud-native Computing encompassing Edge Clouds
 Microservices Architecture (MSA)
 Event-driven Architecture (EDA)
 Containerization-enablement Platforms

Abstract: : Integrating artificial intelligence into IoT and Robotics is an emerging topic crossing several research areas, such as sensor networks, big data analytics, automation, computer vision, 3D graphics and AR/VR technologies. The applications of IoT and Robotics are undergoing extensive research all over the world. Medical diagnosis assistance, control and automation, self-driving cars, localization, smart cities are some of the most investigated applications. These applications demand rapid progress of deep neural networks on artificial intelligence breaking the boundaries of man and machine. Developing intelligent devices can monitor the events happening around them, fuse the sensor data, make use of local and distributed intelligence to decide on courses of action and then behave to manipulate or control objects in the physical world. Taken together, artificial intelligence, IoT and Robotics will lead to a smart world which will deal with unexpected conditions without any human intervention. This special session of MISS-2020 will provide a premier platform for disseminating research results covering a broad variety of topics in the areas of Robotics, Data Analysis & prediction, Robotics, Computational Intelligence, Smart sensing and a variety of applications in machine intelligence. The session aims to bring together researchers and engineers from all related areas on the fundamental theories, models, and technological solutions in terms of machine intelligence for IoT and Robotic applications.
The topics which are covered in this session (but not limited to) :

 Computer Vision
 Robotics
 Intelligent Control Systems
 Computational Intelligence
 Smart sensing
 Smart system development using Internet of Things.
 Machine/ Deep Learning Algorithms
 Big Data Analytics
 Industrial Automation
 Intelligent Decision Making & Support

Abstract: : The Special session on Big Data, Machine Learning, Deep Learning and IoT Applications aims to bring together researcher from both academia and industry to participate and present their work related to various aspects of Big Data, Machine learning, Deep Learning and IoT Applications. There is a increasing number of internet-connected sensors all over the place which are integrated into diversity of mechanical, domestic and automobile devices i.e. trains, PDAs, Smart Phone, Cars, and even civil constructions. As a result, huge amount of data is being produced by the use of sensors and eventually there is a high need of understanding different patterns of such data. Abstraction of data and produce useful information is the biggest challenge that's starting to be met using the pattern-matching and comparing capabilities of Machine Learning and Deep Learning. Academic and Industry researchers are required to feed data of IoT sensors into machine-learning models. Further, the resulting information is used to perceive about how these sensors operate and how related products and services can be enhanced in terms of operations and customer experiences.
The topics which are covered in this session (but not limited to) :

 Big Data Analysis & prediction
 Data Mining
 Smart system development using Internet of Things.
 Computational Intelligence based security

Abstract: : AI & Machine learning is one of the key technologies currently being used to perform predictive analytics tasks in the Healthcare domain and changing the healthcare industry from many perspectives: diagnosis, treatment and follow up., thanks to the abundance of medical data being generated and collected. Nowadays medical data is available in many different forms like MRI images, CT Scan images, EHR data, Test reports, histopathological data, Doctor Patient conversation data, etc. This opens up huge opportunities for the application of AI techniques, to derive data driven models that can be of very high utility, in terms of providing effective treatment to patients. Moreover, Machine Learning algorithms can uncover hidden patterns and relationships present in medical datasets, which are too complex to uncover, if a data driven approach is not taken. With the help of AI & Machine Learning systems, today it is possible for researchers to predict an accurate medical diagnosis for new patients, using models built from previous patient data. The primary aim of health-related AI applications is to analyze relationships between prevention or treatment techniques and patient outcomes. Artificial intelligence (AI) in healthcare is the use of algorithms and software to approximate human cognition in the analysis of complex medical data. Artificial Intelligence (AI) & Machine Learning (ML) fields are interdisciplinary, including computer science, mathematics, psychology, linguistics, philosophy, neuroscience etc. This interdisciplinary special session seeks scientific understanding on data and intelligence in healthcare. This special session will focus at the state of machine learning and artificial intelligence in healthcare and separate what’s hype from what is really happening in the field. Contributor may also share success stories and lessons learned and discuss challenges.
Special Session Tracks (to be covered):

• HEALTHCARE: Devices, Systems and Innovative Technologies
• AI wearable for healthcare
• Smart system for remote healthcare
• Healthcare diagnostics
• Medical imaging
• Data Visualization for Healthcare Applications.
• Patient analytics
• Machine learning applications to healthcare
• Electronic health records and standards
• Pervasive Healthcare Information Systems and Services
• E-health Applications
• Precision healthcare/ personalized healthcare
• Predictive Analytics on Medical Image
• Large scale health data- Imaging data, genomic data, Socio-emotional data, behavioral data etc
• Chronic disease management systems
• Precision healthcare/ personalized healthcare
• Clinical data science

Abstract: : The main objective of this special session is to discuss about the recent trendsin Machine Learning and Intelligent System. The application involves IoT is to makeday-to-day objects smart by utilizing a broad range of sophisticated technologies, from embedded devices and computer vision to machine learning. The aim of this Special Session is to bringtogether researchers, scientists, engineers, and academicians to review and re-analyze past achievements, to report and discuss latest advancements, and toexplore and propose future directions in these rapidly emerging researchareas. Researchers are invited to submit their novel research and unpublished work to this special session.
Special Session Tracks (to be covered): Evolutionary Computing, Swarm Intelligence Algorithms, Artificial Neural Networks, Fuzzy Systems, Genetic Algorithms, Biological Computing, Machine Learning Algorithms, Deep Learning Algorithms, Heuristic Search Algorithms, Hybrid Systems, Optimization methods, Big Data Analysis, Pattern Recognition, Image Processing, Speech Processing, Data Mining, Computer Vision, Cloud Computing, Bio-informatics, Robotics, Intelligent Control Systems, Industrial Automations, Smart sensing, Design of smart communications systems and networks, Smart system development using Internet of Things, Intelligent system in VLSI.