International Journal on Smart Sensing and Intelligent Systems

Scope & Guideline

Unlocking the Potential of Intelligent Systems Worldwide.

Introduction

Delve into the academic richness of International Journal on Smart Sensing and Intelligent Systems with our guidelines, detailing its aims and scope. Our resource identifies emerging and trending topics paving the way for new academic progress. We also provide insights into declining or waning topics, helping you stay informed about changing research landscapes. Evaluate highly cited topics and recent publications within these guidelines to align your work with influential scholarly trends.
LanguageEnglish
ISSN1178-5608
PublisherSCIENDO
Support Open AccessNo
CountryNew Zealand
TypeJournal
Convergefrom 2010 to 2024
AbbreviationINT J SMART SENS INT / Int. J. Smart Sens. Intell. Syst.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressBOGUMILA ZUGA 32A, WARSAW, MAZOVIA 01-811, POLAND

Aims and Scopes

The International Journal on Smart Sensing and Intelligent Systems focuses on the intersection of smart technologies and intelligent systems. It aims to disseminate research that advances the fields of smart sensing, the Internet of Things (IoT), and machine learning, among others.
  1. Smart Sensing Technologies:
    Research in this area emphasizes the design, implementation, and optimization of sensors that gather data from the environment, focusing on applications in smart cities, agriculture, healthcare, and industrial automation.
  2. Internet of Things (IoT) Applications:
    The journal covers innovative IoT solutions, including smart home systems, environmental monitoring, and industrial IoT, highlighting how interconnected devices can enhance efficiency and decision-making.
  3. Artificial Intelligence and Machine Learning:
    A strong emphasis is placed on the application of AI and ML techniques for various domains, including predictive analytics, anomaly detection, and automated decision-making processes.
  4. Data Analytics and Processing Techniques:
    The journal explores advanced data processing methodologies, including deep learning, statistical analysis, and geographical information systems (GIS), aimed at extracting meaningful insights from large datasets.
  5. Smart Systems Design and Implementation:
    Papers often focus on the design and deployment of intelligent systems that integrate multiple technologies for improved functionality and user experience.
Recent publications indicate a shift towards emerging themes that reflect current technological advancements and societal needs. These trends highlight the journal's responsiveness to the evolving landscape of smart sensing and intelligent systems.
  1. AI and Machine Learning Integration:
    There is a growing trend towards integrating AI and machine learning in various applications, from healthcare diagnostics to fraud detection, emphasizing the need for explainable AI solutions.
  2. Sustainable and Smart Agriculture:
    Research focused on smart agriculture solutions, including IoT-based monitoring systems for crop management and disease detection, has gained traction as sustainability becomes a critical concern.
  3. Health Monitoring Systems:
    Emerging studies on health monitoring using smart sensors and AI-driven analytics reflect the increasing importance of remote patient monitoring and disease detection technologies.
  4. Cybersecurity for IoT Systems:
    With the proliferation of IoT devices, there is a rising emphasis on cybersecurity measures to protect smart systems from vulnerabilities, indicating a critical area of research.
  5. Environmental Monitoring and Disaster Management:
    Research in this area is expanding, focusing on using smart sensing technologies and AI for real-time environmental monitoring and disaster response strategies.

Declining or Waning

As technology and research priorities evolve, certain themes within the journal's scope have shown signs of decline. These areas may be less frequently addressed in more recent publications, indicating a shift in focus.
  1. Traditional Sensor Technologies:
    While smart sensing remains a core focus, there has been a noticeable decrease in research related to conventional sensor technologies, as newer, more advanced sensing methods gain popularity.
  2. Basic IoT Frameworks:
    Research centered on basic IoT frameworks and architectures has diminished, with more emphasis placed on complex applications and integrations that leverage AI and machine learning.
  3. Static Data Analysis:
    There has been a reduction in studies that focus solely on static data analysis without the integration of real-time processing capabilities, reflecting a trend towards dynamic and adaptive systems.
  4. Low-Complexity Hardware Designs:
    Papers discussing low-complexity hardware solutions, while still relevant, have become less frequent as the focus shifts toward more sophisticated, integrated systems that leverage advanced technologies.

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