Big Data Analysis for Green Environment Using Internet of Things
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Internet of Things".
Deadline for manuscript submissions: closed (21 April 2023) | Viewed by 3311
Special Issue Editors
Interests: machine learning; Artificial Intelligence and Deep Learning; big data analytics; demosaicking and denoising; Internet of Things
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; deep learning; artificial intelligence; image processing; signal processing
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Internet advancements allow the coordination and sharing of a common communication medium and a complete framework comprising different kinds of sensor arrangements, including smart home sensors, vehicular networks, climate and water sensors, smart parking sensors, and surveillance objects. Subsequently, expansions in the worldwide population have led to expanded interest for items and administration, which calls for more compelling methods of utilizing existing normal assets and materials. The new advancement of data and correspondence innovations, which enormously affect numerous regions, additionally affecting the climate and human wellbeing. Subsequently, societies are advancing toward a greener future by diminishing the utilization of nonrenewable materials, unrefined components, and assets while simultaneously diminishing energy contamination and utilization. Since data innovation is viewed as a way to address natural challenges, the green Internet of things is assuming an indispensable role in making a sustainable home. A data analysis investigation is needed to acquire an important outline of the enormous and different information created by the green IoT. The assembled data will be derived from dynamic and different exercises identified with keen metropolitan administrations and afterward added to the relentless improvement of green IoT innovation. Along these lines, regardless of whether economical and smart urban areas become a reality, the green IoT approach and the information acquired through huge information examination will make urban communities more maintainable, more secure, and more astute.
Therefore, to achieve a green environment, the volume of information made day by day using IoT takes us toward the speed of information creation, and the expanding interest for information stockpiling and handling have raised critical difficulties for analysts around the world. Applied and experimental examinations into the investigation of enormous information and prescient are, as yet, lacking. Contrasting and gathering the results of these examinations to arrive at quick discoveries is testing. Supportability examinations and arranging present a small bunch of replies to resolve arising issues by permitting the utilization of displaying, arranging, recreation, controlling, and advancement to plan more practical things and techniques. In the period of digitalization, information examination and related strategies are propelling the wide space of the cultural, monetary, and natural parts of people's lives.
Therefore, this Special Issue presents a platform for researchers and practitioners to explore the big data investigation and prescient logical strategies identified with the multidimensional parts of manageability. Moreover, it examines valuable strategies for big data analysis, dynamic, and exploration headings towards resolving the current issues identified with manageability, for instance, environmental change, green innovation, smart urban areas, and ecological issues by zeroing in on the promising techniques for information examination and prescient investigation. In particular, this Special Issue aims to expect the most original achievements and headways in big data revelation and examination with regard to supportability. Generally, this Special Issue will cover but is not limited to the following themes:
- IoT-based environmental big data processing and analysis
- IoT-based green city big data governance and management
- Environment-aware application, analytics, and visualization
- Knowledge-based systems for green IoT
- Big data analysis of energy distributions in smart cities
- Predictive analytics in green information systems
- Knowledge-based systems, computing, and visualization for green IoT
- Internet of things (IoT) technologies for sustainability
- Internet of vehicles for green environment
- Passenger sensing, control, and management
- Big data modeling, storage, management, and analytics
- Geography big data mining and exploration
- Large-scale sustainable infrastructure and smart buildings
Dr. Awais Ahmad
Dr. Gwanggil Jeon
Dr. Waseem Iqbal
Guest Editors
Manuscript Submission Information
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