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1. Rising Star of IJCST

期刊：International Journal of Coal Science & Technology 

Special Issue on Rising Stars of IJCST, initiated by the Editorial Office of International Journal of Coal Science & Technology, is a worldwide campaign in coal energy related fields and is aimed to present the newest advanced research outcomes from the most shining young scientists who are the rising main forces in academic research fields. As a young and rising scientific journal, International Journal of Coal Science & Technology is looking forward to cooperating with every Rising Star to jointly build the academic exchange community and enhance academic influences of both young scholars and IJCST.

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2. Machine Learning for Trust, Security and Privacy in Computing and Communications

期刊：EURASIP Journal on Wireless Communications and Networking

客座编辑：Haishuai Wang; Chi-Hua Chen; Chunjia Han; Yu-Chih Wei; Xiaoyan Li

While the area of machine learning methods for trust, security and privacy in computing and communications is a rapidly expanding field of scientific research, several open research questions are still needed to be discussed and studied. For instance, using and improving machine learning methods for malicious activity detection, attack detection, mobile endpoint analyses, repetitive security task automation, zero-day vulnerability prevention and other security applications are the important issues in computing and communications. This special issue named “Machine Learning for Trust, Security and Privacy in Computing and Communications” in EURASIP Journal on Wireless Communications and Networking will solicit papers on the following topics across various disciplines of trust, security and privacy in computing and communications.

Topics include, but are not limited to, the following:

• New supervised machine learning methods for trust, security and privacy in computing and communications

• New unsupervised machine learning methods for trust, security and privacy in computing and communications

• New reinforcement learning methods for trust, security and privacy in computing and communications

• New federated learning methods for trust, security and privacy in computing and communications

• New optimization methods for trust, security and privacy in computing and communications

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3. Content-Based Image Retrieval

期刊：Multimedia Tools and Applications

客座编辑：Gianluigi Ciocca; Marco Bertini; Simone Santini; Raimondo Schettini

This Special Issue is focused on every aspect of Content-Based Image Retrieval, from the theoretical aspects to the most recent advances in the field. We are also interested in new methods, reviews, forecasts, applications, and system design for visual search.

Topics of interest include, but are not limited to, the following:

• Content- and context-based indexing, search, and retrieval

• Search and browsing on big image collections

• Advanced descriptors and similarity metrics Usage of prior knowledge and semantic information in retrieval systems

• Matching learning for image retrieval Learned features

• Query models, and new paradigms

• Multimodal retrieval

• Human/Computer interaction and browsing issues

• Evaluation of Content-Based Image Retrieval systems

• Relevance feedback in the Content-Based Image Retrieval systems

• Application and challenges of Content-Based Image Retrieval to medical images, e-commerce, design, fashion, cultural heritage, personal photo collections, and other specific application domains

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4. Signal Processing for Integrated Sensing and Communications

期刊：EURASIP Journal on Advances in Signal Processing

客座编辑：Yimin D. Zhang; Elias Aboutanios; Wei Liu; Tsung-Hui Chang

Successful implementation of integrated sensing and communications (ISAC) depends on the development of a broad spectrum of novel signaling strategies and signal processing techniques. This special issue aims to bring together original research articles and topical reviews in a broad scope related to ISAC. 

Topics of interest include but are not limited to:

• Signaling strategies and modulation techniques for ISAC 

• Waveform design for ISAC 

• Beamforming techniques for ISAC 

• Resource optimization for ISAC  

• Joint signal detection and parameter estimation in ISAC 

• Information theoretical analysis for ISAC 

• MIMO, massive MIMO, and reconfigurable intelligent surface (RIS) for ISAC 

• Secure sensing and communications in ISAC 

• Automotive radar and vehicular-to-everything (V2X) communications 

• Machine learning and intelligent processing for ISAC 

• Passive radar exploiting communication signals 

• Sensing assisted transceiver design and networking

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5. Sentient Multimedia Systems and Visual Intelligence

期刊：Multimedia Tools and Applications

客座编辑：Bernardo Breve; Stefano Cirillo; Walter Balzano; Yang Zou

Sentient Multimedia Systems are distributed systems capable of interacting with the environment by gathering, processing, interpreting, storing, and retrieving multimedia information originated from sensors, robots, actuators, and other information sources. These systems can exploit Visual Languages to improve communication with people in real-life scenarios, such as smart cities and healthcare. Such languages, combined with intelligent, experience-based, multimedia systems, fall in the area of Visual Intelligence, empowering people to understand how machines process the data from multimedia systems. Moreover, Visual Intelligence comprises all the processes enabling machines to analyze and interpret multimedia data. The combination of sentient multimedia systems and Visual Intelligence has given rise to exciting new applications in fields as diverse as healthcare, education, marketing, games, and automotive. For example, instead of relying only on textual data to create a self-driving car, customers can provide data about the routes they take in a day along with images or videos. Thus, people can help intelligent systems to be trained on a variety of new multimedia sources. This Special Issue is inspired by but not limited to the 28th International DMS Conference on Visualization and Visual Languages (DMSVIVA2022), which will be virtually held from June 29-30, 2022, and will include extended versions of a selection of the best papers presented at the conference. We also expect high-quality contributions from authors who did not attend the conference, and in particular, papers addressing novel aspects of visual languages and multimedia systems that significantly benefit from the creative use of space, technologies, and multimedia data (e.g., visual, audio, pen, voice, image, etc.).

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6. Forest carbon

期刊：Scientific Reports

客座编辑：Akihiko Ito; Meisam Tabatabaei; Quan Wang

Mitigation goals for the climate crisis will only be achieved with a substantial contribution from forests. To achieve this, however, we would need to increase our understanding of the dynamics, magnitude, drivers, and spatial distribution of carbon fluxes across terrestrial ecosystems, especially forests, and how they can be managed. This is essential for strategies to reduce carbon emissions and enhance carbon removals, and would also help guide climate policy, and the various actors developing nature-based solutions. This Collection aims to showcase the latest advances on Earth system models, terrestrial biosphere models, forest carbon monitoring, biomass carbon stocks and turnover, forest demography, and carbon allocation.

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7. Next Generation of Smart, Sustainable and Resilient Manufacturing Systems

期刊：Scientific Reports

客座编辑：David S. Cochran; Kerstin Johansen; Erwin Rauch; Susanne Vernim

In addition to the increasing introduction of digitalization in manufacturing, the sustainable and resilient design of next generation manufacturing systems and value chains is one of the major challenges for the future. After years of focusing mostly on efficiency and productivity, the concept of the triple bottom line pursues the goal of achieving a balance between economic, ecological and social sustainability in manufacturing. This approach includes concepts like circular economy in manufacturing, digitalization as an enabler for sustainable manufacturing as well as human-centred manufacturing concepts and their assessment. The recent unforeseen disruptive events (e.g. Suez Canal blockade, Covid-19) have also shown how crucial it is to increase resilience in manufacturing systems to mitigate the impact of unexpected disruptions.

This Collection will gather research Articles highlighting the latest advances and technologies to facilitate resilience, circular economy and sustainable practices in the manufacturing industry.

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