Call for papers: Wireless Power Transfer in UAV-assisted

Networks

https://onlinelibrary.wiley.com/pb-assets/assets/21613915/CFP%20WPT-1631618666027.pdf

Call For Papers: Special Issue on "Interpretable & Explainable Artificial Intelligence and Deep Learning Methods for Securing Cyber-Physical Systems (TXAI-DL for secure CPS)"

https://www.springer.com/journal/10586/updates/19819180

The scope of this special issue includes, but not limited to:

DL-based security protocols for cyber physical systems

Analytics and optimization of data management process for cyber physical systems

Threats or intrusion detection practices for preserving intelligent systems

Authentication and auditing of communication channels for cyber physical systems

Soft computing techniques in diagnosis and mitigation methods concerning cyber attacks

IXAI driven development for scalable cyber physical systems

IXAI enabled techniques for data mining and knowledge extraction

Embedded systems security and privacy using DL approaches

IXAI/DL-based Intrusion detection for CPS

Legacy Cyber Physical System protection

Deep and reinforcement learning based security solutions for attack prediction in CPSs

Blockchain inspired architecture modelling for cyber physical systems

Design and modelling of IXAI/DL based critical security infrastructures

Data-Driven CPS fault detection, isolation and diagnosis methods

Proactive network monitoring architecture for healthcare CPSs

Vulnerability analysis Service Sustainability of Cyber Physical Systems

Fog/Edge Platform and Caching techniques for securing IoT Application/CPS

Future trends augmenting Blockchain integration with cybersecurity applications

Vulnerability analysis for CPS

Call for Papers: AI in Automation and Robotics: A Special Issue in Soft Computing

Topics of Interest: Contributions are sought in (but are not limited to) the following topics:

Mobile robots and intelligent autonomous systems

RPA for virtual environments (virtual and augmented reality)

Trends in cognitive computing for RPA

Influence of RPA on business models

RPA in driverless vehicles and intelligent transportation systems

Advanced tools and methodologies for RPA applications (healthcare, finance, etc.)

Machine vision and machine learning for RPA

Novel RPA approaches for future applications

AI for perception and awareness in RPA applications

AI for drones in surveillance applications

AI for telerobotics and teleoperation

Vision, recognition, and reconstruction of intelligent robots with AI

Industrial networks and automation with intelligent robots

AI for humanoid robots

AI for collective and social robots

AI in human-robot interaction

Engineering applications of robotics and automation

Open for submissions until January 25, 2022

https://www-springer-com.libproxy.viko.lt/journal/500/updates/19642200?error=cookies_not_supported&error=cookies_not_supported&code=089a9016-ff5f-4eda-9a1e-cf7038890594&code=32e40ee3-fb11-4f96-a72b-45a157322028

Journal of Internet Technology (IF: 1.005): Current Trends, Challenges, and New Enablers of E-Commerce Applications

Topics of Interest: (Contributions are sought in (but are not limited to) the following topics)

Current ubiquitous technologies in E-commerce

Challenges and issues of E-commerce for new business enablers

Effective Social media E-commerce for businesses enablers

Cognitive supply chain management of E-commerce

Internet and Intranet based collaborators for E-commerce

Virtual and augmented reality for online shopping

Security, privacy and effectiveness of E-commerce Policy

Innovative E-commerce implications for future market structure

Electronic Data Interchange (EDI) and E-commerce for business automation

Ethics and competitive strategies of E-commerce market and marketplaces

The future E-commerce and Business-to-Consumer (B2C) relations

Trust management systems and reputation design principles of E-commerce

The role of digital service for economic growth in emerging companies

E-commerce and data mining for business improvements

January 25, 2022

https://jit.ndhu.edu.tw/announcement/view/50

Calls for Papers (special): Journal of Database Management (JDM): Special Issue On: Energy-Efficient Machine Learning and Big Data Analytics for Data-Intensive Applications

Recommended Topics

• Effective ways through which big data and machine learning change the energy efficiency paradigm across complex applications

• Scalable big data analytics with efficient machine learning algorithms

• Distributed machine learning for complex intelligent systems in the context of energy efficiency

• Energy efficient predictive analytics with big data

• Trends in in-memory computing for big data analytics and machine learning

• Advances in bio-inspired and neuromorphic computing

• Emerging computing methodologies and algorithms for energy-efficient big data and machine learning

• Reconfigurable hardware computing in the aspect of energy efficient big data and machine learning models for data-intensive applications

• Metadata management and energy efficiency computing

• Machine learning and big data assisted data visualization methods for data intensive applications

• Scalable and/or descriptive analytics algorithms

• Big data frameworks and architectures in the view of energy efficiency

https://www.igi-global.com/calls-for-papers-special/journal-database-management/1072

Call for Papers: Special Issue on Peer-to-Peer Transactive Energy Management in Power Distribution Systems

Topics of Interest: (Contributions are sought in (but are not limited to) the following topics)

Advances in communication and control architectures for peer-to-peer transactive energy management systems

Automated price-responsive device control in peer-to-peer systems to enhance customer’s flexibility

Distributed ledger technologies in microgrid peer-to-peer transactive energy management systems

Addressing peer-to-peer transactive energy management systems from multiple aspects of control theory and its practical applications

Practical architectures of peer-to-peer transactive energy systems for identification, control, and operation of power systems

Smart grid implementation from the context of control system

Concerns associated with practical implementation of peer-to-peer transactive systems with appropriate solutions

Automation of peer-to-peer transactive energy management systems with disruptive technologies

Recent trends in peer-to-peer transactive energy management systems to enhance interoperability of grid operations, communication, and customer-side technologies

Modelling prosumer behaviours and preferences with peer-to-peer models from a practical perspective

Energy access and distributional issues in real-time peer-to-peer transactive systems with suitable solutions

https://www.journals.elsevier.com/control-engineering-practice/call-for-papers/call-for-papers-special-issue-on-peer-to-peer-transactive-energy-management-in-power-distribution-systems

Key Dates: Submission deadline: 25.01.2022

Theme Issue on Explainable AI (XAI)-enabled Advanced Security Techniques for Personal and Ubiquitous Technologies, Services and Systems [CfP]

Topics of interest include, but are not restricted to:

The Interconnection between Blockchain, IoT, and Explainable AI for advanced digital technologies

Explainable AI-based privacy, safety and risk management for trustworthy ubiquitous systems

Blockchain assisted Explainable AI lightweight protocol design methods for IoT

Explainable AI-assisted cloud computing models for secure IoT systems

Explainable AI and blockchain-based secured IoT models

Effective ways to improve performance and efficiency measures of IoT applications with XAI and blockchain techniques

Advances in risk management and vulnerability using blockchain and Artificial intelligence methodologies

Advances in big data analytics with blockchain methodologies for secure IoT

Advances in blockchain assisted distributed machine learning solutions for IoT

Quantum secured blockchain based applications

Anonymous and transparent protocol design methods in blockchain applications

Blockchain for explainable and trustworthy artificial intelligence.

https://www.springer.com/journal/779/updates/19651334

Important Date: Submission deadline: extended to March 30, 2022

Call for Papers: AI in Automation and Robotics

Topics of Interest: Contributions are sought in (but are not limited to) the following topics:

Mobile robots and intelligent autonomous systems

RPA for virtual environments (virtual and augmented reality)

Trends in cognitive computing for RPA

Influence of RPA on business models

RPA in driverless vehicles and intelligent transportation systems

Advanced tools and methodologies for RPA applications (healthcare, finance, etc.)

Machine vision and machine learning for RPA

Novel RPA approaches for future applications

AI for perception and awareness in RPA applications

AI for drones in surveillance applications

AI for telerobotics and teleoperation

Vision, recognition, and reconstruction of intelligent robots with AI

Industrial networks and automation with intelligent robots

AI for humanoid robots

AI for collective and social robots

AI in human-robot interaction

Engineering applications of robotics and automation

https://www.springer.com/journal/500/updates/19642200

Open for submissions until January 25, 2022

CFP: Special Issue on "Green Edge/Fog/Cloud Computing: Advancements, Trends, and Practices"

Topics of Interest: (Contributions are sought in (but are not limited to) the following topics)

Current research trends and challenges in green edge/fog/cloud computing

Energy-efficient power management system with green computing technologies

Energy-efficient networking device, hardware and design methodology for green edge/fog/cloud computing

Energy-efficient resource scheduling algorithm with green technology in the edge/fog/cloud environment

Smart and intelligent decision-making model for efficient power management system in green edge/fog/cloud computing

Research toward eco-friendly green cloud computing technology

Effective and efficient off-loading strategies for green edge/fog/cloud computing

Recent advances in energy consumption monitoring and management with green computing

Proactive virtualization methodology using green technological concepts in cloud environment

Green edge/fog/cloud computing advancement, design methodology, framework and implementation details

Green edge/fog/cloud distributed computing for IoT applications

Green cloud computing: An energy-efficient layer in hardware and software architecture

State of the art for energy-efficient resource allocation strategy for green edge and fog data-centers

Challenges and opportunities in green edge/fog/cloud computing for energy-saving techniques

Energy-efficient technologies for artificial intelligence/ machine learning

https://www.springer.com/journal/10586/updates/19533532

Submission deadline: 25.01.2022

Call for Papers: Industrial Internet of Things for Intelligent Transportation System to Decrease the Environmental Pollution

Topic areas include, but are not limited to, the following:

Artificial Intelligence for controlling pollution level Measurement and Monitoring in Engineering

Shipping Transportation Industry

Ship Emission Control

Automatic Identification System

Radar and Communication Techniques

Data Science System

Industrial Internet of Thing for sustainable societies Underwater Vehicles

Autonomous Ships

Transportation Engineering

Sensors and Measurements

Wireless Communication System for smart transportation

Navigation Science

Energy Efficiency Operational Indicator (EEOI)

Security for Transportation Systems

Machine Learning/Deep learning for Transportation Systems

https://www.springer.com/journal/10668/updates/19027476

Deadline for submission: 30th September 2021

Image and Video Manipulation: Challenges and Solutions

Submission Deadline: 1 February 2022

https://www.spiedigitallibrary.org/journals/journal-of-electronic-imaging/call-for-papers

Call for Papers: Challenges on Cloud and Network Virtualization in IoT Environments

https://www.springer.com/journal/10586/updates/19729480

A possible topic might include, but not be limited to:

IoT-based smart city models based on virtualization

Virtualization models for IoT applications

Privacy-preserving approach in IoT services deployment

Network Virtualization and Software defined based network virtualization

Software-defined networking as a privacy-preservation tool

Supporting privacy-preservation in the semantic web

Mathematical modeling for privacy protection.

Cloud computing in IoT

Software-defined networking and edge computing

Network virtualization implementations on smart cities

Edge computing implementations in smart cities

Call for Papers: Theme: IoT for Energy and Harvesting

Journal: Sustainable Energy Technologies and Assessments, Publisher: Elsevier, Impact Factor: 5.353

https://www.journals.elsevier.com/sustainable-energy-technologies-and-assessments

Special Collection on Machine Learning in Data Processing from Multiple Sensors

Potential topics include but are not limited to the following:

Machine learning in optical image processing

Machine learning in video processing

Machine learning in radar signal / image processing

Machine learning in IOT

Machine learning in multi-sensor data fusion

Machine learning in the cooperative working of multiple sensors

https://journals.sagepub.com/page/dsn/collections/special-issues/machine-learning-in-data-processing-from-multiple-sensors

submit by April 30, 2022

Special Issue on Machine Vision and Deep Learning for Healthcare applications: Current Medical Imaging, Formerly: Current Medical Imaging Reviews

The topics of interest include, but are not limited to:

 Image acquisition, reconstruction and synthesis

 Automatic Treatment or Recommendation

 Internet of Medical Things (IoMT)

 Computer-aided detection and diagnosis

 Diagnosis and prediction of COVID-19

 Deep learning for Electronic health records

 Multimodal Data Fusion and Analysis

 Deep learning for Radiation Oncology

 Transfer learning in clinical imaging process and analysis

 Privacy and Security for mHealth and eHealth

 3D and 4D medical image analysis