Calls for Papers (special): International Journal of Information Retrieval Research (IJIRR)


Special Issue On: Deep Learning and Its Application in Big Data Information Retrieval

Submission Due Date
2/25/2020

Guest Editors
Hadj Ahmed BOUARARA, GeCoDe Laboratory Dr Molay Tahar University of Saida Algeria, bouararaahmed1990@gmail.com

Soufiane Boulehouache, LIRE Laboratory 20 Août 1955-Skikda University, sboulehouache@yahoo.com

Introduction
Big data has become the basis of all the major trends that are happening today. This important concept, represents the exponential growth of volume and the variety of data collections, one of the advantages of this technique is the ability to process heterogeneous data with multiple structures and formats in a distributed architecture, such as textual documents, also as the name implies "big data" refers to the huge amount of data counted by petabytes which implies an extension of the information retrieval (IR) technique in order to to better meet the needs of modern users.

The Deep Learning (DL) is based on the idea of artificial neural networks and is designed to handle large amounts of data by adding layers to the network. A DL model has the ability to extract characteristics from raw data through multiple processing layers consisting of multiple linear and nonlinear transformations The missions of this special issue of IJIRR aims to regroup the various researchs made in the intersection of three domains: deep learning (DL) applications in information retrieval (IR) tasks (filtering, multimedia search, adhoc research, clustering) with a big data environment

Objective
The missions of this special issue of IJIRR aims to regroup the various researchs made in the intersection of three domains: deep learning (DL) applications in information retrieval (IR) tasks (filtering, multimedia search, adhoc research, clustering) with a big data environment..

While this special issue is aimed to bring together extended version of few significant articles from The International Conference on Theoretical and Applicative Aspects of Computer Science to be held in 20 Août 1955 University, Skikda, Algeria from 15-16 December 2019. However it is also completely open to external submissions for authors who have not participated to the conference.

Recommended Topics
1. Image processing, segmentation and registration
2. Motion, Object Tracking and Video Analysis
3. Medical and application dedicated image analysis
4. Energy Minimization based Vision
5. Data mining and machine learning
6. Distributed and Collective Vision
7. Data and knowledge engineering and modeling
8. Image and multimedia search and retrieval
9. Data classification and clustering
10. Sensorial information and knowledge engineering and modeling
11. Signal, speech and time series analysis, recognition and retrieval
12. Image analysis, scene understanding and character recognition
13. Open and smart government
14. Smart cities, smart homes
15. Smart grids and the Internet of things (infrastructure, transportation, governance, environment, health care, safety, security, and energy)
16. Smart devices and their novel use in public management
17. Smart (technology-facilitated) practices such as payment systems, identification systems, etc.
18. Smart city (governance) and emerging technologies (IoT, big data, open data, social media & networks)
19. Wireless communications and networks in smart cities
20. Sensing technologies for smart cities
21. Green multimedia wireless networks for smart cities
22. Modeling, design, and engineering of distributed systems
23. Complex and multi-agent systems
24. Foundations and formal methods for distributed systems
25. Animated pedagogical agents
26. Advances in networking and web based applications
27. Information and network security
28. Cloud computing and pervasive systems
29. Autonomic agents
30. Bayesian networks
31. Strategic decision support systems
32. Evolutionary programming
33. Adaptation, self-organization, and emergence in complex systems
34. Advanced databases
35. Information systems architectures
36. Data warehouses
37. Information systems integration
38. Information systems analysis and specification
39. Multimedia database applications
40. Database security and transaction support
41. Object-oriented database applications
42. Distributed database systems
43. PDMS (P2P data management systems)
44. Enterprise resource planning
45. Enterprise-wide client-server architecture
46. Security and privacy in cloud computing


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Deep Learning and Its Application in Big Data Information Retrieval. on or before February 25, 2019. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Hadj Ahmed BOUARARA
Guest Editor
International Journal of Information Retrieval Research (IJIRR)
E-mail: Hadjahmed.bouarara@univ-saida.dz

Special Issue On: Optimization and Convergence of Machine Learning Algorithms for Leveraging IoT, Block chain and Artificial Intelligence

Submission Due Date
4/30/2020

Guest Editors
Prof. (Dr.) Vikram Bali
Professor & HOD (CSE Department), JSS Academy of Technical Education, Noida, India
vikramgcet@gmail.com

Prof. (Dr.) Vishal Bhatnagar
Professor(CSE), AIACT&R, DelhiIndia
vishalbhatnagar@yahoo.com

Dr. Shivani Bali
Associate Professor and Area Chair (Operation and Business Analytics), Lal Bahadur Shastri Institute of Management, Delhi, India
lbsshivani@gmail.com

Dr. Naveen Dahiya
Associate-Professor (CSE), MSIT, Janakpuri, Delhi, India
naveendahiya16@yahoo.com

Introduction
Today, Blockchain and Machine Learning (ML) technologies are gaining strong momentum and thrust around the world. Blockchain, a disruptive technology, made its big splash with cryptocurrencies invention and trading. On the other hand, with predictive and descriptive algorithms, ML is making huge waves in harnessing existing data to identify patterns and gain insights. Congregating the two technologies can only make them super disruptive! Both have the potential to hasten data exploration and analysis as well as intensify transactions security. Additionally, distributed blockchains can be a great and proven input for ML, which requires big data sets to make quality predictions.

Digital revolution is characterized by the convergence of technologies, rapidly advancing fourth the industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors nowadays as security plays a crucial role everywhere. There is a tremendous increase in the usage of AI and IoT technologies in various firms. AI has big potential to identify the patterns and anomalies in the data generated by IoT sensors. The accuracy of operational predictions using AI technologies is greater when compared to threshold-based monitoring systems. IoT and connected systems drive AI as intelligent automation which makes sense of data generated from sensor devices in decision making process. Blockchain plays a significant role in providing security during data handling operations and defines how trusted transactions can be carried out addressing the solution for internet facing vulnerability problems. Blockchain solves the security fault line among AI and IoT where most of the IoT devices are connected to each other through public networks. Linear and permanent indexed records are maintained in blockchain to face the vulnerability issues. Many applications and concepts, common to these technologies, are already in practice with promising results. Gaining control of the device and records is hard in the blockchain system and consequently the blocks are maintained and guarded. IoT devices are sharing information via public networks which paves the way for vulnerability and the risks increase even more if AI is also involved. Furthermore, the blockchain system has robust security implementations able to afford scalable, secure and verifiable platform. Peer-to-peer model is a competent solution for the effective communication in centralized client /server paradigm.

Objective
The main focus of this special issue is to provide the latest advancements in the problem domain of machine learning, Block chain, IoT and Artificial Intelligence. So, we encourage researchers to submit original works which will enlighten other researchers and provide the world with new and improved methodologies using some of the topics as mentioned in the following section. The aim of the special issue is providing a quality publication with innovative ideas and implementation methodology to upcoming buddy researchers and users in the modern day era.

Recommended Topics
Topics to be discussed in this special issue include (but are not limited to) the following:

• Data-Centric and Service-Centric IoT and Blockchain Architectures
• Digital world and business transformation
• The analytics of IoT: Machine Learning perspective
• IoT and Blockchain’s potential to drive business value
• Big data analytics for IoT systems: opportunities and challenges
• IoT Privacy and Security Concerns
• Blockchain Privacy and Scalability concerns
• IoT’s best practices and new business models
• Industrial IoT and Factory of Things
• Machine Learning and Data Analytics Techniques in IoT for Industry
• IoT Application and Services: Creation and Management Aspects
• Future directions for businesses in IoT context
• Blockchain role in Trust and Privacy
• Supply Chain digitalization
• Machine Learning for IoT Security
• Machine learning and IoT for business intelligence
• Machine learning and IoT for smart cities
• Convergence of Machine Learning, IoT, Blockchain and Business
• Data Analytics for IoT and Blockchain Driven Big Data
• IoT and Machine learning driven BioInformatics
• IoT and Blockchain powered Business Intelligence
• Business Model Innovation using Machine Learning, IoT and Blockchain
• Business strategy and information systems
• Digital Transformation involving IoT and Blockchain
• Machine Learning driven Distributed Collaboration and Virtual Teams
• e-Learning frameworks for IoT and Blockchain
• IoT and Blockchain powered Healthcare
• IoT and Blockchain powered Supply Chains
• Healthcare Data Analytics via Machine Learning
• Information Technology Risk Management and Risk Assessment
• Machine learning based Knowledge Management
• Blockchain and IoT based Knowledge Dissemination
• Machine Learning based Decentralized/Distributed and Virtual Organizations
• Management Information Systems
• Managing Cloud Computing for IoT and Blockchain
• Managing Technological Innovation and Emerging Technologies in Financial Services
• Machine learning in Nano Technology
• Machine Learning for Natural Language Processing
• Machine learning for Pattern Recognition from data generated by IoT and Blockchain
• Blockchain based Project Management
• Blockchain and Machine learning based R&D Strategy
• Role of Legislature and Legal Practice in Machine Learning, IoT and Blockchain
• Regulations for Machine learning and Blockchain based information systems
• IoT based Sensor Networks for Machine learning innovation
• IoT Devices and Its Utilization in VANET
• Massive Machine Connections for IoT
• Machine Learning and Blockchain based IoT Power Control and Management
• Machine Learning and Blockchain based IoT Resource Allocation and management
• Smart City Environment for Vehicular Networks
• Social Implications of IoT, Machine learning and Blockchain
• Implementation Issues w.r.t Blockchain
• Required Regulations and Legislation for IoT
• Green IoT
• M2M and IoB (Business aspects, models and opportunities)
• Smart Infrastructures (cities, health, agriculture, industry, etc.)
• Not limited to above topics

Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Optimization and Convergence of Machine Learning Algorithms for Leveraging IoT, Block chain and Artificial Intelligence on or before 30 April 2020. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS athttp://www.igi-global.com/publish/contributor-resources/before-you-write//. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All submissions and inquiries should be directed to the attention of:
Prof. (Dr.) Vikram Bali
Guest Editor
International Journal of Information Retrieval Research (IJIRR)
vikramgcet@gmail.com