To find the most relevant journal, please insert appropriate keyword to facilitate search.
Search Results: racsc
Recent Advances in Computer Science and Communications
ISSN: 2666-2558 (Print)
eISSN: 2666-2566 (Online)
Special Issues With Active Call for Papers
Trends, Breakthroughs, and Convergence of AI in Edge Computing and Cybersecurity
This special issue aims to investigate the synergy between artificial intelligence (AI), edge computing, cybersecurity, computer vision, natural language processing (NLP), and generative AI. Our goal is to explore how AI, coupled with machine learning (ML), can revolutionize edge computing and cybersecurity measures. Specifically, we aim to uncover novel approaches and techniques to enhance network security, anomaly detection, predictive analytics, computer vision, NLP, and generative AI in real-time scenarios. By showcasing innovative research and case... see more
Technology and Political Communication in the Digital Age
Political communication is one of the important communication topics in the political sphere which is very relevant to the daily life of people in society. The advancement of technology in the digital age has significantly changed the forms and methods of communication on these issues from the previous era, resulting in changes in the political landscape in various countries. Understanding these phenomena both theoretically and through analysis of relevant empirical data that occur in different... see more
Emerging Trends and Innovations in AI-Driven Technologies for Healthcare
Objective :- This special issue's goal is to examine and showcase the cutting-edge developments in AI-driven technologies that are revolutionizing the healthcare industry. The goal of this issue is to compile cutting-edge research, creative approaches, and useful applications that show how artificial intelligence (AI) is advancing patient outcomes, boosting healthcare delivery, and tackling current issues in healthcare sector. Summary:- Healthcare technology is undergoing a technological revolution led by artificial intelligence (AI). It is propelling important... see more
Energy-Efficient Protocols in WSNs: Extending Network Lifetimes in Remote Environments
The ability to monitor and analyse a variety of settings, especially in remote or inaccessible regions, has made wireless sensor networks (WSNs) an essential component of modern technology. Spatially dispersed sensors make up these networks, which gather and send data to a central site for processing. Managing energy consumption, however, is a major difficulty for WSNs in order to prolong the network's lifespan, particularly in distant areas where it is frequently impractical to replace or... see more
Advances in Biomechanics and Biomedical Engineering
Advances in biomechanics and biomedical engineering have revolutionized the way we understand and treat various medical conditions. Biomechanics is the study of the mechanical aspects of living organisms, while biomedical engineering is the application of engineering principles to the field of medicine. Together, these disciplines have led to groundbreaking innovations in the design of medical devices, diagnostic tools, and treatment strategies The proposed focus on the latest developments in the field, including the design and... see more
Exploring Feature Selection and Extraction Techniques on Omics Data
Omics data, such as genomics, proteomics, and metabolomics, have become essential tools for understanding biological processes and diseases. However, the high dimensionality and complexity of omics data pose significant challenges for data analysis and interpretation. Feature selection and extraction techniques play a crucial role in reducing dimensionality, removing noise, and identifying relevant features for further analysis. In this study, we aim to systematically explore and compare various feature selection and extraction techniques on omics data... see more
Security and Privacy Protection Technologies in AI
The recent growth in Artificial Intelligence (AI) has advanced various other industries ranging from smart homes to financial risk management to Intelligent transportation system and healthcare. As These technologies are becoming an integral part of our everyday life, they create and depend on large amount of user’s personal data. Their ability to gather, process and analyze data, often without explicit user content, can extract deeper insights form the personal data, often beyond the original expectations... see more
Next-Generation Wireless Access Technologies for Enhanced IoT Security
Technology breakthroughs that made it possible for effective wireless micro-devices to be created gave rise to the Internet of Things. This learning delves at the possibilities provided by the Internet of Things, as well as its involvement in a variety of sectors and technological obstacles. Previous iterations of cellular networks employed various multiple access technologies, all of which shared the characteristic of emitting orthogonal signals at the receivers. Unknowingly, users' daily lives and other areas... see more
Internet of Things enabled Machine learning and Image Processing technologies for sustainable development of Smart Cities
The concept of "smart city" has been developed based on several theoretical frameworks. The term initially denoted communities that catered to the demands of their residents by utilizing advanced computerized systems to offer transportation and utilities in a manner that is both safe, secure, environmentally friendly, and efficient. An extensive examination of the available literature indicates that several urban regions are presently adopting cutting-edge technology, including advanced, integrated materials, sensors, electronics, and networks are interconnected... see more
Digital Twin Technologies: Advances, Applications, and Challenges
The special issue on "Digital Twin Technologies: Advances, Applications, and Challenges" holds substantial importance across academic, industrial, and technological spheres. It highlights cutting-edge research, fostering interdisciplinary collaboration across sectors such as engineering, healthcare, and manufacturing. The issue emphasizes the wide range of Digital Twin applications and addresses challenges by presenting innovative solutions and methodologies, helping researchers and practitioners overcome deployment obstacles. Additionally, it informs industry practices, providing insights that can enhance efficiency and innovation. The... see more
Leveraging AI for Predictive Cyber Threat Intelligence
AI continuously tracks and examines user behaviour patterns to spot any odd logins, changes in permissions, or transfers of data that might point to a security risk. AI threat detection in network security is centred on keeping an eye on network traffic in order to spot odd trends or anomalies. AI systems can identify indicators of malware infections, hacking attempts, and data breaches and send out notifications in real time using machine learning and data... see more
Nex-Gen Cutting Edge Technology: Leveraging Technology for Cutting Edge Advancements in National Security Sustainability
In this era where technological advancements are reshaping the global security landscape, this special issue delves into the transformative power of emerging technologies on national security. From the evolution of artificial intelligence (AI) to the implementation of blockchain for secure communication, this collection of articles explores the opportunities, challenges, and ethical considerations that these innovations present, sparking intrigue and inspiration. The transformative role of AI in national security cannot be overstated. It offers unprecedented intelligence-gathering... see more
Machine Learning-based Early Warning Systems for Cybersecurity Threats
Appropriate resource allocation, care prioritisation, and the avoidance of unfavourable outcomes all depend on promptly recognising of patients who are at a high risk of clinical deterioration. Early warning systems using health status and collective weighting are frequently utilised to forecast the likelihood of consequences associated with hepatitis and respiration insecurity, both of which are potent indicators of unfavourable accomplishments. Most recently, there have been encouraging findings from machine learning models, which can include trends... see more
Enhancing Business Intelligence Through AI and Smart Technology
By combining AI algorithms with BI platforms, businesses can now anticipate future trends and comprehend past performance, which motivates proactive activities. The driving force behind this shift is AI-driven data analytics. Machine learning algorithms are a subtype of artificial intelligence that can handle massive amounts of data at previously unheard-of speeds, exposing patterns and correlations that were previously unseen. Business intelligence has advanced significantly during the last few decades. In the past, BI systems used... see more
Data Analytics Techniques for Performance Improvement in Cloud-Based Healthcare
There has been a sharp rise in the use of distant healthcare apps, which allow patients to get therapy from far-off locations, because of developments in computer technology. Cloud data can be characterized as information that evolves with quantity, acceleration, range, validity, and value. This information is gathered about patients through remote healthcare apps. Processing such a massive amount of varied information constitutes some of the most challenging assignments and calls for a unique strategy.... see more
Transfer Learning for Enhanced Predictive Maintenance in Industrial Applications
Sensor data is analysed using transfer learning to forecast machine faults, reducing downtime and expenses. Models that were first trained on generic sensor data are modified for use with particular manufacturing machinery. The process of using newly learned knowledge in novel contexts is known as transfer of learning. After mastering the technique of solving polynomial equations in class, a student applies it to homework problems of a similar nature. In class, the instructor discusses a... see more
Cybersecurity Challenges in Next-Generation Telecommunication Networks: Mitigation and Prevention Strategies
Cyber threats are always evolving and present the largest challenge to cybersecurity nowadays. Cybercriminals are always coming up with new methods and plans to take advantage of holes in networks and systems. Organisations may prevent unauthorised access, malicious activity, and other security threats from harming their networks, systems, and data by implementing a thorough cybersecurity mitigation plan. The use of technologies, strategies, and processes to lessen the total impact and risk of a cyber threat... see more
An advanced hierarchical clustering algorithm using wireless sensor networks
Besides structuring the sensor nodes into several clusters and selecting a cluster from each group, hierarchical clustering tends to hinder the use of wireless sensor networks. The cluster head collects data from the component nodes of the cluster and sends it to the base station. In order to extend the lifespan of hierarchical clustering network architectures, users embrace several improvements achieved throughout the moment. Clustering is a method for reducing network congestion and improving the... see more
Integration of Ubiquitous Computing with Smart Classroom Technologies for Interactive Learning
In an educational setting, moving from the conventional educational structure to an active classroom is necessary for the implementation of new pedagogies, including collaborative learning. It should be possible for the students to exchange assets so they can work together on desktops, smartphones, and other devices. To promote communication between teachers and students, interactive whiteboards, projectors, and audiovisual equipment should all be controllable from within the design of a smart classroom. The idea of ubiquitous... see more
Lightweight AI Algorithms for Real-Time Data Mining in Edge Computing Environments
A real-time streaming controlled clustering edge computing method (SCCEC) is presented with the aim of addressing the low efficiency, poor performance, weak stability, and poor responsiveness to the processing of huge data in real-time. AI edge computing allows AI applications to execute directly on field devices, allowing ML and DL algorithms to be applied while processing field data. In the cloud, data processing occurs in a few seconds. On the other hand, processing data at... see more
Innovative Approaches in Industry 5.0 and Emerging Technologies
Industry 5.0 is a new production model where the focus lies on the interaction between humans and machines. Industry 5.0 takes the next step, which involves leveraging the collaboration between increasingly powerful and accurate machinery and the unique creative potential of the human being. Industry 5.0 is characterized by going beyond producing goods and services for profit. It shifts the focus from the shareholder value to stakeholder value and reinforces the role and the contribution... see more
Fuzzy Logic Algorithms for Enhancing Accuracy in Human Activity Recognition Systems
Human activity recognition uses information from many sensors, such as accelerometers, magnetometers, and gyroscopes, to recognize the physical activities of people. It is difficult to get great accuracy in HAR since human actions are complicated and variable. Fuzzy logic techniques can be employed to enhance the accuracy and robustness of HAR systems. Fuzzy logic is a kind of reasoning that can handle uncertainties and imprecise information, it is similar to human decision-making. Fuzzy logic is... see more
Explainable Natural Language Processing for Chatbots in Conversational AI
In the context of chatbots within Conversational AI, Explainable Natural Language Processing (NLP) refers to the creation and implementation of techniques that create transparency, comprehension, and interpretability for users and developers regarding the decision-making processes of NLP models. Users' confidence in the system grows when they are aware of the decision-making process used by chatbots. To promote equality and ethical use, explainability is crucial for identifying and correcting errors in language models. By providing information... see more
Convergence of Artificial Intelligence and Metaverse for Intelligent Systems and Technologies
Artificial Intelligence (AI) and the Metaverse presents a transformative paradigm divert in the landscape of intelligent systems and technologies and promise a revolution in virtual environment to enable intuitive, immense and innovative solutions across intelligent technologies. AI acts as a cognitive engine which drives the fluctuating functionalities in the Metaverse. Through various algorithms of machine learning (ML), deep learning (DL), natural language processing, digital twin (DT), human-machine interaction (HMI); AI and the Metaverse imbues intelligent... see more
State Estimation and Fault Diagnosis of Energy Systems Based on Artificial Intelligence
Artificial Intelligence (AI) techniques in the domain of state estimation and fault diagnosis within energy systems has emerged as a pivotal area of research with broad-reaching implications. This special issue seeks to provide a comprehensive platform for exploring the application of AI methodologies in enhancing the accuracy, resilience, and efficiency of state estimation and fault diagnosis processes across diverse scenarios within the realm of energy systems. By gathering innovative research contributions, the focus of this... see more
Digitalization and Cyber-Physical Systems in the Age of Mobile Communication
Globally, the advent of the mobile communication has changed society and presented both benefits and difficulties. Mobile communication has demonstrated to make important contributions in the areas of emergency services, educational systems, healthcare, etc. with the arrival of next-generation wireless technologies. A smartphone with an internet connection is all we require. Despite the fact that society now faces health challenges due to recent advancements in mobile technology. As a result, more realistic solutions are needed... see more
Enhancing Vehicle-to-Everything (V2X) Communication Through Machine Learning Algorithms
The beginning of a new age of networked self-driving vehicles that offer unparalleled user experiences, greatly enhanced air quality and road safety, a wide range of scenarios and transportation situations, and a multitude of cutting-edge applications. In order to realise this ambitious goal, a greatly improved vehicle-to-everything (V2X) communication network is needed. This network must be highly intelligent and able to support enormous data exchange at high speed, high reliability, and low latency at the... see more
Emerging Trends and Innovations in ICT
Emerging trends and innovations in Information and Communication Technology (ICT) are revolutionizing various industries and driving significant advancements. Key trends include the deployment of 5G technology, which enhances connectivity and supports the expansion of Internet of Things (IoT) applications. Artificial Intelligence (AI) and Machine Learning (ML) are automating tasks and providing personalized user experiences across sectors. Cloud computing offers scalable resources, while edge computing reduces latency for real-time applications. Blockchain technology ensures secure, transparent, and... see more
Data Privacy and Security in Open Data Initiatives
Data privacy and security are key factors in open data initiatives, governments and organizations continue to expand the accessibility of their data for public use and ensuring the protection of sensitive information becomes important. In open data initiatives, protecting data security and privacy is essential for several reasons. Primarily, it protects people's identities by preventing unwanted access or exploitation of their personal data. It maintains user and data provider trust, which promotes wider involvement in... see more
Emerging Trends and Techniques in Machine Learning and Deep Learning
This special issue will aim to discuss computational intelligence approaches, initiatives and applications in engineering and science fields (including Machine Intelligence, Mining Engineering, Modeling and Simulation, Computer, Communication, Networking and Information Engineering, Systems Engineering, Innovative Computing Systems, Adaptive Technologies for Sustainable Growth, and Theoretical and Applied Sciences). This collection should inspire various scholars to contribute research on intelligence principles and approaches in their respective research communities, while enriching the body of research on computational intelligence. see more
The Evolution of Cellular Network Standards-5G to 6G
The professional development of fifth-generation (5G) mobile communication networks has begun, offering users enhanced user experiences, new services, and a plethora of innovative prospects across multiple industries. But 5G still has a lot of obstacles to overcome. Worldwide manufacturing, educational, and standards organisations have started researching sixth-generation (6G) wireless communication systems in response to these problems. The increasing demand for higher data rates, capacity, lower latency, and greater quality of service has led to an... see more
Current Research and Open Challenges in Artificial Intelligence for Smart Cities
Artificial intelligence is a technology that replaces human work, such as problem-solving skills, complex tasks, decision-making, and reasoning. AI plays a pivotal role in all sectors, including healthcare, cybersecurity, digital education, manufacturing, transportation, and business. Efforts are being made to integrate AI into the agriculture sector to provide intelligent solutions. Similarly, AI-powered innovative processes contribute to the development of smart cities by collecting and analyzing data from various municipal corporations using sensors. There are numerous... see more
High-Performance Computing for Large-Scale Simulations in Healthcare
High-performance computing (HPC) and simulations have become critical components of advanced innovation and business success across several scientific and technical domains. Indeed, a new era in HPC and models is being ushered in by advancements in computing and systems modelling, as well as network connectivity, storage, and software capabilities. These improvements are particularly important since HPC systems are rapidly moving towards exascale as they continue to build up on the basis of nodes, cores, accelerators,... see more
Enabling Cognitive Technologies for Data analysis Using Artificial Intelligence based Smart medical applications.
Big Data Analytics in Bioinformatics and Healthcare merges the fields of biology, technology, and medicine in order to present a comprehensive study on the emerging information processing applications necessary in the field of electronic medical record management. The rapidly expanding field of big data analytics has started to play a pivotal role in the evolution of healthcare practices and research. It has provided tools to accumulate, manage, analyze, and assimilate large volumes of disparate, structured,... see more
AI-based Emerging Technologies in Sentiment Analysis for Intelligent Chatbots
This special issue aims to explore how the latest technologies are transforming the way conversational agents and virtual assistants work. Every day, new advancements are emerging, such as AI systems beating the world's best Go player and the development of self-driving cars. Additionally, large number of start-ups and technical organizations continue to push the boundaries by applying AI in various diverse areas like speech recognition, image classification, recommendation systems, and internet search. With the advancements... see more
Next-Generation Mobile Computing Technologies for Edge Computing and IoT Integration
The advent of 5G technology has brought about a revolution in mobile computing, enabling the processing of vast amounts of data at high speeds. This breakthrough has unlocked new possibilities for edge computing and IoT integration, resulting in more efficient data processing and analysis. Furthermore, the utilization of artificial intelligence and machine learning techniques in mobile computing has gained prominence, presenting an avenue to enhance the capabilities of IoT devices. However, numerous challenges must be... see more
Green Computing and Communication Networks for Emerging Enterprise Applications
Today, the networks we use form part of a large-scale computational infrastructure that enables our modern societies. As demand for network resources increases, green computing and communication networks research investigate ways to reduce the environmental impact of this critical resource. Information and communication technology accounts for more than three-quarters of world electricity consumption due to increasing demand and innovative services. Green computing and communication networks are gaining acceptance in today's world. As more people realize... see more
Recent advances in deep learning for biomedical and healthcare applications
In the modern day, deep learning has become widespread across practically all industries. The use of distributed sensors and cameras, in addition to multi-modal digital health platforms that enable audio, video, image, and text, is generating an enormous amount of data in the field of healthcare and medicine. The possibility for automated diagnosis has significantly expanded as a result of the availability of data from digital record systems and medical equipment. An explosion of interest... see more
Fuzzy-assisted low latency and lightweight authentication protocol for mission-critical systems
The networked world in which we live has necessitated the use of mission-critical systems and applications, hence the need for secure communication, error-free information sharing and efficient computation. On the other hand, most research studies have been concentrating on developing low-latency and lightweight authentication protocols for wireless sensor networks. Mission-critical systems refer to systems critical to the operation of an organization or society whose failure or compromise could have significant consequences. These systems often require... see more
Secure and Energy Efficient Data Transmission for Wireless Sensor Network
Wireless Sensor Network is the most notable technology today in the field of defence, health, environment based applications. WSN is widely popular due to its advantages over traditional stand-alone sensors. Data from end nodes is carried over to Gate nodes and then it is transferred to Base Station. The breaching into the system increases as innovation in WSN also increases and this constructs the need for secure and energy-efficient data transmission for WSN. The WSN... see more
Secure and Scalable Communication in 5G and Beyond Networks Using Distributed Ledgers
Among the networks powered by the Internet of Things, exchanges of information and secure data transfer have long been issues. Modern online architecture has been greatly aided by cellular networks. Still maintaining an extraordinarily high level of credibility and stability, they are coming up against increasing obstacles, including decentralisation, softwarization, versatility, and opening up to new economic models. One exciting area of research to help solve these problems creatively is distributed ledgers and the use... see more
Blockchain based Trust and Security Mechanisms for Big Data Sharing in Collaborative IoT Ecosystems
The idea of practical things having socialising, detection identification, and computational capabilities residing on the Internet is recognised as the Internet of Things (IoT). IoT systems usually rely on sending data to be processed by centralised web servers. Blockchain software, along with big data, pervasive monitoring systems, and virtualization, is seen as another disruptive technology. Authorities, banking chains, and IT corporations are very concerned about it. In essence, blockchain technology is a technological solution that... see more
Advanced integration of computer vision and AI algorithms for automated applications in vehicles
Automation is a key component of present automobile industry to enhance the innovation through artificial intelligence. Intelligent automation in the autonomous vehicles can replace humans and provide better safety movements of vehicles. Global shift towards human to automation needs high risk mitigation technologies. The vast challenges of autonomous vehicles are object detection, environmental situation prediction, path planning, autonomous driving and emergency situation prediction to response etc. Artificial intelligence become essential technology for handling automation in... see more
Internet of Things (IoT) and Next-Generation Artificial Intelligence (AI): Transforming Communication Systems
This special issue underscores the profound impact of the convergence of IoT and AI technologies on communication systems. It explores the significance and timeliness of the topic, highlighting how the integration of IoT and AI is revolutionizing various industries and everyday life. The special issue delves into cutting-edge research and applications that leverage AI-driven IoT solutions to address real-world challenges and opportunities. By showcasing recent advancements and emerging trends, this special issue aims to provide... see more