Big Data and Intelligent Analytics in Smart Environments
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: 20 July 2024 | Viewed by 807
Special Issue Editor
Interests: service computing and service-oriented software engineering; data mining and big data analysis
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
In recent years, the rapid advancement of technology has transformed our societies into interconnected and intelligent environments. The emergence of smart cities, smart homes, and smart industries has led to the generation of vast amounts of data that hold immense potential for understanding and improving the world around us. The convergence of big data and intelligent analytics has become a critical area of research and innovation, enabling us to harness the power of information for creating sustainable and efficient smart environments.
This Special Issue, entitled "Big Data and Intelligent Analytics in Smart Environment", aims to explore the cutting-edge developments in this field and bring together researchers, practitioners, and experts to share their insights, findings, and experiences. This interdisciplinary collection of articles will delve into diverse aspects of big data analytics, machine learning, artificial intelligence, and data-driven decision making in the context of intelligent environments.
The scope of this Special Issue encompasses various domains, including, but not limited to smart cities, transportation, energy management, agriculture, healthcare, and social media. We invite submissions that address the challenges, opportunities, and innovative approaches for leveraging big data and intelligent analytics to optimize resource allocation, enhance sustainability, improve quality of life, and enable data-driven decision making in smart environments.
Topics of interest include, but are not limited to, the following:
- Data-driven decision-making in smart cities;
- Machine learning and artificial intelligence algorithms for smart environment analysis;
- Internet of Things (IoT) and its impact on smart environment analytics;
- Big data analytics for energy management in smart environments;
- Predictive analytics for environmental monitoring and resource optimization;
- Data privacy and security challenges in smart environment analytics;
- Smart mobility and transportation analytics using big data;
- Smart agriculture and precision farming leveraging big data and intelligent analytics;
- Social media analytics for understanding and improving smart environments;
- Smart healthcare analytics for personalized and remote patient monitoring;
- Data visualization techniques for analyzing big data in smart environments.
We encourage authors to present original research, case studies, methodological advancements, and review articles that contribute to the theoretical foundations and practical applications of big data and intelligent analytics in smart environment contexts. Submissions should be based on rigorous methodologies and demonstrate a clear impact on the advancement of knowledge and practice in this domain.
We look forward to receiving high-quality submissions and fostering meaningful discussions that further our understanding of the potential, challenges, and future directions of big data and intelligent analytics in smart environments. Through this Special Issue, we aim to shape the current discourse, encourage collaboration, and inspire breakthroughs in this exciting field.
Prof. Dr. Junhao Wen
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
Keywords
- data-driven decision making in smart cities
- machine learning and artificial intelligence algorithms for smart environment analysis
- Internet of Things (IoT) and its impact on smart environment analytics
- big data analytics for energy management in smart environments
- predictive analytics for environmental monitoring and resource optimization
- data privacy and security challenges in smart environment analytics
- smart mobility and transportation analytics using big data
- smart agriculture and precision farming leveraging big data and intelligent analytics
- social media analytics for understanding and improving smart environments
- smart healthcare analytics for personalized and remote patient monitoring
- data visualization techniques for analyzing big data in smart environments.
