Announcements

Readers are invited to submit relevant information (e.g. conference announcements or calls for papers) for publication on the Announcements page to the Journal Editor-in-Chief.

Special Issue: Envisioning Eco-Friendly Artificial Intelligence for a Sustainable Computing Environment

 

Sustainable computing is an emerging area of research that embraces the policies and procedures to use the technology effectively without any deterioration to the environment. It is a holistic approach and can be widely applied across various information and communication technology-related applications. The major focus here is to have zero impact on the environment and it covers a broad range of the research spectrum, including energy, environment, and natural resource management. There is no doubt that computing in an environmentally responsible manner has quickly emerged as an effective means for using the technology. Green artificial intelligence (AI) and sustainable computing are closely related to each other, and they go hand in hand. The focus of green AI is on the use of computing resources in a lesser, cost-efficient manner. Further, the rapid advances in technology have enabled digital advancement in every industrial sector. The technology is used in almost every aspect of the business, ranging from supply chain to service delivery to the end-users. Significantly, enterprises need to use technology to lead to sustainability responsibly.

 
Posted: 2023-07-28 More...
 

Special Issue: Securing the IoT against Fault Injection Attacks using Digital Sensors

 

The Internet of Things (IoT) promises to be incredible in terms of usability and convenience, but its effects on security and privacy are less obvious. For cryptographers and system designers, the idea of billions of low-cost, lightweight, and highly networked endpoints poses several urgent challenges. These should ideally be answered before the IoT is widely deployed and its supporting infrastructure and standards are set. Fault injection attacks on IoT systems try to change software behaviour by inserting faults into the system's hardware components. Attackers insert bugs into hardware elements, including the voltage source, clock generator, and microprocessor, which can impact software performance. Several defenses from fault injection attacks at the software and system levels are studied. It is suggested that attack detection systems and software vulnerability scanning against fault injection attacks are filled with new technologies, such as code machine learning, instrumentation tools, and software testing ideas. IoT systems may be safer and resistant to fault injection attacks and the problems they cause by filling in these security vulnerabilities.

 
Posted: 2023-07-10 More...
 

Special Issue: Interactive and Innovative Technologies for Quality Practices in Smart Education to Realize Sustainable Development Goals in Future Societies and Citizenship

 
Smart education is the key technology that facilitates a major shift from the traditional practice of face-face learning methodologies into distance learning paradigms. Due to its distributed nature, a broad range of disruptive technologies such as cloud computing, virtual reality, and augmented reality have been increasingly adopted to enhance the process of the smart education system. As a matter of fact, communication forms a vital part of the educational forum, which becomes extremely complex when dealing with online learning paradigms such as smart education. It has been a long way that smart education has come into existence, but it still needs to improve its interface and interactive methodologies to leverage its full potential towards society  
Posted: 2023-03-24 More...
 

Special Issue: Trustworthy Multimedia Big Data Computing for Next-Generation Multimedia Systems

 
Big multimedia data is massive, multimodal, and diverse, but also imbalanced and noisy and collected in real-time. Big data computing cannot comprehend the advanced semantics level and it exceeds its resource intensively. Finally, next-generation multimedia systems need real-time and fast processing trustworthy multimedia big data computing. A more completely working next-generation multimedia experience is organized by these components, including sensor technology, networks, CPUs, storage, and displays. Accurate evaluation of multimedia service quality is essential to enhance the next-generation multimedia systems. In particular, multimedia systems in healthcare, finance, and self-driving automobiles are gaining increased interest from many research groups by improving next-generation multimedia systems. Furthermore, the most rapidly expanding characteristic of big data multimedia computing is Quality of Experience (QoE), closely related to storage and speed. The size and complexity of multimedia data support significant advances in deep learning approaches for applications like indexing, search, recommendation, and summarization. There are specific fundamental difficulties, such as storage, retrieval, and data analysis and processing. Multimedia is gradually changing into essentially big data, which are the most critical and vital hotspots for pieces of information and data. Moreover, it requires dedicated processing abilities in Graphics Processing Units (GPU) for effective transmission, parallel processing, and advanced storage mechanism. Multimedia data, also known as interactive data, brings up enormous opportunities for multimedia computing in the context of big data centricity as a functional disciplinary study area and other applications. Massive volumes of multimedia material are constantly being created due to the development of the Internet and the rising ubiquity of devices.  
Posted: 2022-11-17 More...
 

Special Issue: AI-Based Approach for Energy Resource Management

 
An Energy Management System (EMS) is a functional system or a device that converts an uncontrolled output form into a virtual power plant resource that produces a significant controlled output. This program can not only retrieve information from terabytes of estimated and structured data resources, but it can also retrieve data from unstructured data resources. The system then parses them, discovers various patterns, and generates recommendations and predictions based on the data. To achieve this particular goal, the EMS must consider a set of factors. That includes current and projected weather circumstances, failures of the power plants, terrible downtimes, challenges in planned maintenance, influence on market price and detailed demand forecasts, and making. AI has a significant potential application in energy management and meeting its demand-supply in a wide range of industries. Furthermore, it is the responsibility of every individual sector to manage the demand-supply effectively.  
Posted: 2022-11-17 More...
 
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