Special Issue "Applications of Machine Learning and Big Data Analytics for Environmental Sustainability"
Deadline for manuscript submissions: 30 September 2023 | Viewed by 16551
Interests: cybersecurity; natural language processing; edge Computing and Applications of AI
Interests: machine learning; computer vision; blockchain; deep neural networks; Internet of Things
Special Issues, Collections and Topics in MDPI journals
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Special Issue in Electronics: Machine Learning: Practical Applications for Cybersecurity
Special Issue in Sensors: Advanced Technologies in Sensor Networks and Internet of Things
Topics: Machine Learning Techniques Driven Medicine Analysis
Due to the advancements in technologies such as Internet of Things, social media, high-resolution remote sensing techniques and advanced communication techniques, there are now abundant data related to the environment. The environmental data include weather data, remote sensing from satellites and data related to pollution, natural calamities and water management. Analyzing the patterns from these data may help the responsible agencies (such as government agencies, NGOs, etc.) to make appropriate decisions to save lives and property. However, the volume, velocity and complexity of the generated data make it difficult to extract useful information from the data using traditional machine learning algorithms.
Big data techniques can be used to effectively handle and process the complexities in environmental data such as volume, heterogeneity and velocity. Integrating machine learning with big data can help us in understanding patterns from the environmental data, which can be used to understand the patterns in these data and can predict natural calamities/disasters well in advance so that the damages incurred can be minimized. Some of the applications of integrating big data with machine learning include the prediction of natural disasters (e.g., floods, cyclones, earthquakes), the prediction of rainfall, the prediction of pollution levels, the recognition of biodiversity in acoustic images and remote sensing of the environment.
The aim of this Special Issue is to solicit state-of-the-art research on current environmental issues. Experimental results, survey/review papers and case studies are also accepted. Potential topics of this Special Issue include, but are not limited to, applications of machine learning and big data with big data for a sustainable environment, such as:
- Weather forecasting;
- Disaster management;
- Precision agriculture;
- Water management;
- Industrial wastewater management;
- Federated learning for environmental monitoring;
- Blockchain for environmental monitoring;
- Pollution control;
- Unmanned aerial communication-based environmental monitoring.
Dr. Saqib Iqbal Hakak
Prof. Dr. Thippa Reddy Gadekallu
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. Sustainability 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 2000 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.
- data analytics
- artificial intelligence
- environmental monitoring
- big data analytics