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► Journal BrowserSpecial Issue "Machine Learning, Data Mining, and IoT Applications in Smart and Sustainable Networks"
A special issue of Sustainability (ISSN 2071-1050). This special issue belongs to the section "Sustainable Engineering and Science".
Deadline for manuscript submissions: 31 August 2022.
Special Issue Editors
Interests: smart cities; cloud computing; machine learning; information security; device-to-device communication; haptic communications & tactile internet
Interests: data science; data mining, big data, sentiment analysis, social network analysis, medical informatics, machine learning, recommendation system, natural language processing
Interests: wireless sensor networks; internet-of-things; mobile and wireless networks
Interests: Internet of Things; vehicle-to-everything communication; smart cities; machine learning, computational intelligence; data science; human factors engineering
Special Issue Information
Dear Colleagues,
Driven by rapid urbanization, we need all global cities to be transformed as Smart Cities in order to improve our living standards on so many dimensions like government, people, transportation, environmental sustainability, and much more. The transformation of classical Cities to Smart Cities will greatly depend on modern technologies in computing paradigms especially Internet-of-Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and Data Mining (DM). In near future, all the conglomerate networks of a conventional city (e.g., transportation, electricity, information, etc.) will be served by a wide range of IoT devices, which will generate a huge volume of unstructured and heterogeneous data in return. The lack of useful knowledge in such a Big Data is a huge hassle when it comes to decision-making and planning operations of Smart Cities while dealing with urgent challenges like energy/environmental sustainability, urban traffic management, information security, and so on. In this regard, the sole reliance over existing infrastructure of the Internet for communication of urban Big Data is another unprecedented challenge. Therefore, applications of ML and DM techniques (e.g., classification and regression trees, random forests, association rules, clustering, Gaussian mixture models, artificial neural networks, Bayesian networks, prediction methods, sequential patterns, support vector machines, etc.), AI, and IoT enabling technologies are of much interest in urban Big Data analytics, digitization, and visualization for smart and sustainable systems. Furthermore, the developments in data science, information theory, learning theory, edge computing, and computational intelligence could be helpful in adding intelligence to urban networks. The advents in Unmanned-Automated Vehicles (UAVs) are also significant in various applications (e.g., traffic surveillance, people safety, rescue operations, etc.) of Smart Cities due to a number of virtues like facility of deployment, strong line-of-sight links, and degrees of freedom.
The aim of this special issue is to present a multidisciplinary state-of-the-art reference regarding theoretical and real-world challenges, and innovative solutions by inviting high-quality research papers spanning across ML and DM techniques, IoT applications (e.g., Smart Home, Smart Grid, Industrial IoT, Connected Car, Connected Healthcare, Smart Farming, Smart Retail, etc.), and environmental studies for sustainable networks deployed in the urban cyber domain.
The topics of interest for this special issue include, but are not limited to:
- Modeling and evaluation of urban Big Data
- Data-driven methods and applications for urban traffic management
- UAVs assisted platforms for urban traffic surveillance and rescue control
- Semantic knowledge for urban Big Data analytics
- Ontology-based recommendation system in Connected Healthcare
- Reinforcement learning for assessment and evaluation of vehicle-actuated Big Data
- DM and AI-based cloud for Big Data architectures in Smart Cities
- Knowledge graph and edge computing models for IoT applications in Smart Cities
- Big Data analytics and IoT applications for Smart Grid, Smart Home, Connected Car, Connected Health, Smart Farming, Smart Retail, etc.
- High-performance sustainable and resilient infrastructure for IoT in Smart Cities
- Optimized data security, privacy, and trust for smart and sustainable urban networks
- Device-to-Device communication protocols and algorithms for urban networks
- IoT for mitigating traffic accidents, congestion, environmental pollution, etc.
- AI, ML and Big Data analytics-based systems for turning urban waste into value
- Innovative Human-Computer Interaction models for smart and sustainable systems
- Future perspectives for smart and sustainable networks in Smart Cities
- Legal, ethical, and social considerations in the transformation of classical cities to Smart Cities
Dr. Muhammad Shafiq
Dr. Amjad Ali
Dr. Farman Ali
Prof. Dr. Jin-Ghoo Choi
Guest Editors
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 papers will be 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 1900 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
- Machine Learning
- Data Mining
- Artificial Intelligence
- Intelligent Transportation System
- Healthcare Monitoring System
- Computational Intelligence
- Big Data
- Smart Cities
- Smart Home
- Smart Grid
- Internet-of-Things
- UAVs Technology
- Data Communication and Visualization