International Journal of Advanced Computer Science and Applications

Scope & Guideline

Empowering Innovation Through Open Access Knowledge.

Introduction

Immerse yourself in the scholarly insights of International Journal of Advanced Computer Science and Applications with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN2158-107x
PublisherSCIENCE & INFORMATION SAI ORGANIZATION LTD
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 2017 to 2024
AbbreviationINT J ADV COMPUT SC / Int. J. Adv. Comput. Sci. Appl.
Frequency12 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address19 BOLLING RD, BRADFORD, WEST YORKSHIRE 00000, ENGLAND

Aims and Scopes

The International Journal of Advanced Computer Science and Applications focuses on the intersection of advanced computer science research and practical applications, providing a platform for innovative studies that enhance technology's role in various sectors.
  1. Artificial Intelligence and Machine Learning:
    This area encompasses research on algorithms and models that enable machines to learn from data, making predictions or decisions without explicit programming. Topics often include neural networks, reinforcement learning, and applications in healthcare, finance, and smart cities.
  2. Computer Vision and Image Processing:
    Research in this scope involves techniques for enabling computers to interpret and process visual information from the world. This includes image recognition, object detection, and segmentation methods, often applied in healthcare diagnostics and surveillance.
  3. Internet of Things (IoT) and Smart Systems:
    Studies focus on the integration of IoT technologies in various domains, enhancing system interconnectivity and automation. Topics include smart home systems, environmental monitoring, and intelligent transportation systems.
  4. Data Science and Big Data Analytics:
    This area covers methodologies for analyzing large datasets to extract meaningful insights. Research often involves predictive modeling, data mining, and statistical analysis techniques applied across multiple industries.
  5. Cybersecurity and Network Security:
    Research focuses on protecting systems and data from cyber threats. Topics include intrusion detection systems, secure communication protocols, and vulnerability assessments, particularly in IoT and cloud computing environments.
  6. Cloud Computing and Distributed Systems:
    This area involves research on leveraging cloud technologies for efficient resource management, task scheduling, and data processing, addressing challenges like scalability and security.
  7. Human-Computer Interaction (HCI):
    Research in this scope aims to improve user experience and interface design, particularly in educational technologies and assistive devices for individuals with disabilities.
The journal has seen a rise in interest in several emerging research themes that reflect current technological advancements and societal needs.
  1. Integration of AI with IoT:
    There is a growing trend in research that combines artificial intelligence with IoT systems, focusing on smart applications in healthcare, agriculture, and urban management, highlighting the synergy between intelligent data processing and connected devices.
  2. Explainable AI and Ethical AI:
    As AI systems become more integrated into critical decision-making processes, research exploring transparency, interpretability, and ethical considerations in AI applications is gaining momentum.
  3. Remote Work and Learning Technologies:
    Research addressing the impact of digital tools on remote work and education has surged, especially in the context of the COVID-19 pandemic, focusing on user experience, engagement, and effectiveness of online platforms.
  4. Healthcare Applications of AI and Data Analytics:
    There is a notable increase in research applying AI and data analytics to healthcare challenges, including disease prediction, diagnostic support, and personalized medicine, reflecting the urgent need for innovative health solutions.
  5. Cybersecurity in Emerging Technologies:
    With the rise of IoT and cloud computing, there is a heightened focus on cybersecurity solutions tailored for these environments, addressing vulnerabilities and implementing robust security measures.
  6. Sustainability and Environmental Monitoring:
    Research trends are increasingly focusing on sustainable technologies and environmental monitoring systems, leveraging AI and IoT for efficient resource management and ecological conservation.

Declining or Waning

While the journal continues to thrive in many areas, certain research themes have shown a decline in publication frequency, indicating shifts in focus or decreased interest among researchers.
  1. Traditional Software Engineering Methods:
    There has been a noticeable decline in research focused on conventional software engineering practices, such as waterfall methodologies, as the field shifts towards agile and DevOps approaches.
  2. Generalized Theoretical Models without Practical Applications:
    Research that focuses on theoretical frameworks lacking practical implementation or case studies is becoming less prevalent, as the journal emphasizes applied research with real-world implications.
  3. Basic Algorithm Studies:
    There is decreasing attention on the development of basic algorithms without innovative enhancements or applications, as researchers prefer to explore more complex and applied algorithmic solutions.

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