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Computers and Electronics in Medicine
Computers and Electronics in Medicine (CEM) is a peer-reviewed interdisciplinary journal dedicated to advancing the field of medical technology through the integration of computer science, electronics, and healthcare. The journal serves as a premier platform for researchers, engineers, clinicians, and practitioners to share and disseminate cutting-edge research findings, innovative technologies, and practical applications at the intersection of computing and medicine.
The journal publishes regular papers dealing with the following areas, but not limited to:
- Medical Imaging
- Bioinformatics and Health Informatics
- Wearable Devices and Remote Monitoring
- Telemedicine and Telehealth
- Medical Robotics and Automation
- Artificial Intelligence in Medicine
- Biomedical Signal Processing
- Mathematical Modeling and Simulation
- Health Data Security and Privacy
- Human-Computer Interaction in Medicine
- Biomedical Engineering and Devices
- Complex Systems and Network Analysis
Computers and Electronics in Medicine emphasizes the importance of interdisciplinary collaboration to address complex healthcare challenges. The journal encourages submissions that bridge the gap between theoretical research and practical applications, fostering innovations that can be translated into clinical practice. By providing a comprehensive and inclusive platform, the journal aims to drive advancements that enhance patient care, improve diagnostic and therapeutic techniques, and contribute to the overall betterment of global health outcomes.
The journal also supports the exploration of emerging technologies and methodologies that have the potential to revolutionize healthcare, such as blockchain for secure health data management, augmented reality (AR) and virtual reality (VR) for medical training and simulation, and the use of 3D printing in personalized medicine and prosthetics.
Computers and Electronics in Medicine is committed to publishing high-impact research that advances the integration of computer science, electronics, and healthcare, fostering a multidisciplinary approach to solving the most pressing issues in modern medicine. -
Chaos and Fractals
Chaos and Fractals is a peer-reviewed interdisciplinary journal dedicated to advancing the understanding and application of chaos theory and fractal geometry across various scientific disciplines. The journal serves as a nexus for researchers, mathematicians, physicists, engineers, and practitioners to disseminate cutting-edge research findings, innovative theories, and practical applications in the realm of chaos and fractals.
Chaos and Fractals publishes original research articles, review papers, technical notes, and case studies covering a wide range of topics, including but not limited to:
- Dynamics of Nonlinear Systems
- Fractal Geometry and Applications
- Chaotic Behavior in Natural and Artificial Systems
- Complex Systems Modeling and Analysis
- Nonlinear Dynamics in Biological Systems
- Fractal Imaging and Image Analysis
- Applications of Chaos and Fractals in Physics, Engineering, Biology, and Social Sciences
- Chaos-Based Cryptography and Secure Communications
- Fractal-Based Signal Processing and Analysis
Our journal aims to foster interdisciplinary collaboration and facilitate the exchange of ideas among researchers and practitioners working in the fields of chaos theory and fractal geometry. We welcome contributions that explore theoretical developments, computational methods, experimental observations, and practical implementations related to chaos and fractals.
Chaos and Fractals is committed to upholding the highest standards of scholarly excellence and integrity. All submissions undergo rigorous peer review by experts in the field to ensure the quality, validity, and significance of the published work. We invite researchers and practitioners from around the globe to join our community and contribute to the advancement of chaos theory and fractal geometry for the betterment of science and society. -
Information Technology in Economics and Business
Information Technology in Economics and Business (ITEB) is an interdisciplinary academic journal dedicated to advancing research at the intersection of information technology, economics, and business. The journal provides a platform for scholars and researchers to publish high-quality original research articles, reviews, and perspectives on the latest developments, trends, and innovations in the application of information technology within the realms of economics and business.
ITEB publishes original research articles, review papers, technical notes, and case studies on a wide range of topics, including but not limited to:
- Business Intelligence and Analytics
- Economic Forecasting and Simulation Technologies
- E-commerce Systems and Digital Marketing
- Financial Technologies and Blockchain Applications
- Smart Cities and IoT Solutions
- Enterprise Resource Planning and Management Information Systems
- AI and Machine Learning in Business
- Blockchain in Economics
- Cybersecurity in Business Environments
Our journal aims to bridge the gap between academia and industry by fostering collaborations, facilitating knowledge sharing, and promoting innovation in the rapidly evolving field of economics and business technology. We welcome contributions from researchers and practitioners worldwide and encourage interdisciplinary approaches that address the challenges and opportunities at the nexus of IT, economics and business.
ITEB is committed to upholding the highest standards of scholarly excellence and integrity. All submissions undergo a rigorous peer review process by experts in the field to ensure the quality, validity, and significance of the published work. We invite you to explore our journal and become part of our vibrant community dedicated to advancing business technology for global economic development.
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ADBA Computer Science
ADBA Computer Science is a peer-reviewed interdisciplinary journal dedicated to advancing understanding and application of all areas within computer science. The journal serves as a nexus for researchers, educators, engineers, and practitioners to disseminate cutting-edge research findings, innovative theories, and practical applications across diverse computer science disciplines. The journal aims to foster interdisciplinary collaboration and facilitate the exchange of ideas among researchers and practitioners working in various fields of computer science. We welcome contributions that explore theoretical developments, computational methods, experimental observations, and practical implementations related to computer science.
We are particularly interested in contributions that address the following topics:
- Algorithms and Data Structures
- Machine Learning and Artificial Intelligence
- Software Engineering and Development
- Database Management and Data Mining
- Computer Graphics and Visualization
- Cybersecurity and Information Assurance
- Networking and Communications
- Computational Biology and Bioinformatics
- Human-Computer Interaction
- Quantum Computing
ADBA Computer Science strives to bridge the gap between theoretical computer science and practical technological advancements, contributing to the global discourse in technology and its applications. We encourage submissions that push forward the boundaries of our knowledge and contribute to the ongoing discussions in the computer science community.
Through rigorous peer review and a commitment to quality, ADBA Computer Science seeks to uphold the highest standards of integrity and scholarly excellence. We invite authors to contribute their best work and join us in advancing the fields of computer science and technology. -
Artificial Intelligence in Applied Sciences
Artificial Intelligence in Applied Sciences (AIAPP) is a peer-reviewed, interdisciplinary journal that focuses on the application of artificial intelligence technologies across a broad range of scientific, engineering, and industrial fields. The journal provides a dynamic platform for researchers, practitioners, and innovators to share original research, cutting-edge methodologies, and practical insights into how AI is transforming applied sciences.
Artificial Intelligence in Applied Sciences publishes original research articles, review papers, technical notes, and application case studies on topics including, but not limited to:
- AI in Healthcare and Biomedical Engineering
- Smart Agriculture and Precision Farming
- AI Applications in Energy and Environmental Systems
- Industrial Automation and Intelligent Manufacturing
- AI-Driven Materials Science and Chemical Analysis
- Natural Language Processing and Human-Machine Interaction
- Robotics and Autonomous Systems
- Predictive Modeling and Decision Support Systems
- AI in Transportation, Logistics, and Smart Cities
- Computer Vision and Image Processing in Applied Contexts
- Cyber-Physical Systems and Internet of Things (IoT)
- Simulation, Optimization, and Control using AI
Artificial Intelligence in Applied Sciences encourages interdisciplinary approaches that combine domain expertise with AI methods such as machine learning, deep learning, reinforcement learning, and evolutionary algorithms. The journal aims to bridge the gap between theoretical AI research and its deployment in practical, real-world applications.
By promoting research that demonstrates measurable impact and innovation, the journal seeks to advance scientific understanding, operational efficiency, and sustainable solutions in sectors including healthcare, energy, agriculture, industry, and infrastructure. Submissions exploring the ethical, societal, and regulatory aspects of AI applications are also welcomed.
Artificial Intelligence in Applied Sciences is committed to publishing high-quality research that drives progress in AI-enabled technologies and fosters the responsible integration of intelligent systems in solving today’s complex global challenges.
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Computational Systems and Artificial Intelligence
Computational Systems and Artificial Intelligence (CSAI) is a peer-reviewed, interdisciplinary journal devoted to advancing the theory, design, development, and application of intelligent computational systems. The journal provides a global platform for researchers, engineers, and practitioners to share high-quality research, innovative algorithms, and real-world applications at the intersection of computational science and artificial intelligence.
Computational Systems and Artificial Intelligence publishes original research articles, comprehensive reviews, technical notes, and application-focused case studies in a wide range of topics, including but not limited to:
- Artificial Intelligence Algorithms and Architectures
- Machine Learning and Deep Learning Models
- Intelligent Control Systems and Automation
- Computational Modeling and Simulation
- Optimization Techniques in AI Systems
- Autonomous Systems and Robotics
- AI in Internet of Things (IoT) and Cyber-Physical Systems
- Natural Language Processing and Knowledge Representation
- Computational Neuroscience and Cognitive Systems
- Bioinspired and Evolutionary Computation
- AI in Smart Cities, Transportation, and Energy Systems
- Trustworthy, Explainable, and Ethical AI
CSAI emphasizes the importance of multidisciplinary research and collaboration, bridging gaps between theoretical innovation and practical implementation. The journal welcomes studies that integrate artificial intelligence with computational systems to solve complex problems across domains such as healthcare, manufacturing, environment, finance, education, and beyond.
Through rigorous peer-review and open-access dissemination, Computational Systems and Artificial Intelligence aims to accelerate the global exchange of knowledge and contribute to the responsible development of intelligent technologies that shape the future of science, industry, and society.