Opening Up Computer Science

Array is an international open access multidisciplinary journal encompassing a broad spectrum of topics in computer science, including

    Artificial Intelligence, Machine Learning and Robotics
    Computer Systems and Architecture
    Computer Vision, Speech and Pattern Recognition
    Control & Signal Processing
    Cyber Security
    Data, Knowledge and Intelligent Systems
    Industrial Engineering
    Interdisciplinary Applications
    Medical Informatics and Biomedical Engineering
    Microelectronics and Hardware
    Multimedia and HCI
    Networks and Communications
    Operational Research and Decision Systems
    Scientific Computing
    Software Engineering
    Theoretical Computer Science

Submissions must be novel, technically sound, and clearly presented. Array accepts both technical notes (technical notes are limited to a maximum of 10 pages in the standard Elsevier format) and regular papers. In addition to research papers presenting new results, review articles as well as discussion and opinion papers are also welcome.

Papers meeting journal criteria will undergo a single-blind review process, utilizing a minimum of two (2) external referees. Our dedicated expert editorial team, together with an editorial board of hundreds of active researchers from all areas of computer science, ensure that papers move through to publication as fast as possible without compromising on the quality of the process.

The journal audience comprises academia, industry, and practitioners. Authors are strongly encouraged to make their datasets publicly accessible via a repository of their choosing.

Software publication

We invite you to convert your open source software into an additional journal publication in Software Impacts, a multi-disciplinary open access journal. Software Impacts provides a scholarly reference to software that has been used to address a research challenge. The journal disseminates impactful and re-usable scientific software through Original Software Publications which describe the application of the software to research and the published outputs.

For more information contact us at: software.impacts@elsevier.com

Special Issue on ACM-BCB 2024
Submission Date: 2025-01-25

This special issue proposal is for a collection of papers from the ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM-BCB) 2024. The special issue aims to highlight recent developments in advanced algorithms, deep learning methods, and big data analytics applied to biomedical data analysis. It covers a wide range of topics in bioinformatics and computational biology, including AI and machine learning in healthcare, genomics, proteomics, systems biology, and health informatics. The proposal emphasizes the importance of these fields in advancing biomedical research and healthcare applications. The special issue seeks to provide a platform for researchers, developers, and practitioners to share their latest findings and innovations in these rapidly evolving areas, fostering the exchange of ideas and promoting progress in bioinformatics and computational biology.

The topics of interest for this special issue include, but are not limited to the following:

    AI and Machine Learning in Medicine and Healthcare
    Computational Drug Discovery
    Sequence Analysis
    Single cell sequencing
    Omics Data Integration and Analysis
    Genomic Variation and Disease
    Haplotypes and Population Genomics
    Phylogenetics
    Protein and RNA Analysis, Structure, and Dynamics
    Metagenomics and Algorithms for Microbiomes
    Cancer Genomics
    Pharmacogenomics
    Systems Biology
    Biological Networks and Integrative Analysis
    Multimodality modeling
    Imaging Informatics
    Imaging Genomics and Radiation Genomics
    Natural Language Processing (NLP) and text mining
    Large language model (LLM) for healthcare applications
    Data Integration, Harmonization, and Ontology
    Computational Phenotyping
    Automated Diagnosis and Prediction
    Clinical Databases and Information Systems
    Data Security and Privacy
    Knowledge Representation Applications
    Biomedical and Health Data Visualization
    Public Health and Population Health Informatics
    Infectious Disease Networks and Computational Epidemiology
    Social Network Analysis for Health Applications
    No-Boundary Thinking in Bioinformatics

Guest editors:

Jintao Meng, PhD
Shenzhen Institute of Advanced Technology, CAS, Shenzhen, China 
Email: jt.meng@siat.ac.cn

Yanjie Wei, PhD
Shenzhen Institute of Advanced Technology, CAS, Shenzhen, China 
Email: yj.wei@siat.ac.cn

Wenhui Xi, PhD
Shenzhen Institute of Advanced Technology, CAS, Shenzhen, China 
Email: wh.xi@siat.ac.cn

Yi Pan, PhD
Shenzhen Institute of Advanced Technology, CAS, Shenzhen, China
Email: yi.pan@siat.ac.cn

Manuscript submission information:

The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from December 25th, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: ACM-BCB 2024” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Array | Journal | ScienceDirect.com by Elsevier. 

This Special Issue offers 50% APC discount.

Timeline:

Submission Open Date *25/12/2024
Final Manuscript Submission Deadline *25/01/2025
Editorial Acceptance Deadline *25/02/2025

Keywords:

Bioinformatics, Computational Biology, Health Informatics

Special Issue on Intelligent Transportation-enabling Large Language Models and Applications
Submission Date: 2025-01-30

The rapid advancements in Large Language Models (LLMs) have unlocked unprecedented opportunities for intelligent transportation systems. This Special Issue explores the transformative potential of LLMs in enabling intelligent transportation solutions. It covers a wide range of topics, including but not limited, natural language interfaces for navigation, AI-powered traffic forecasting, intelligent route planning, and conversational agents for transportation assistance. The Issue also delves into the challenges and ethical considerations surrounding the deployment and applications of LLMs in transportation contexts. Through a collection of cutting-edge research articles, this Special Issue aims to showcase the latest breakthroughs and inspire further innovations at the intersection of LLMs and intelligent transportation.

Guest editors:

Shiyu Yang, PhD
Guangzhou University, Guangzhou, China. 
syyang@gzhu.edu.cn 
(big data management, intelligent transportation and hardware-based big data computing)

Flavio Romero Macau, PhD
Edith Cowan University, Perth, Australia. f.macau@ecu.edu.au 
(global supply chains; last mile delivery; supply chain disruptions)

Yidong Li, PhD
Beijing Jiaotong University, Beijing, China. ydli@bjtu.edu.cn 
(Big Data analysis, privacy preserving and information security and intelligent transportation)

Lili Pei, PhD
Chang’an University, Xi’an, China. 
peilili@chd.edu.cn 
(Traffic data analysis; Artificial intelligence; Machine learning; Road performance evaluation)

Manuscript submission information:

The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from July 2nd, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: LLM for Transportation” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Array | Journal | ScienceDirect.com by Elsevier. 

This Special Issue offers 100% APC discount.

Timeline:

Submission Open Date *02/07/2024
Final Manuscript Submission Deadline *30/01/2025
Editorial Acceptance Deadline *30/04/2025

Keywords:

(Intelligent Transportation) AND (Large Language Models) AND (Transportation Systems) AND (Artificial Intelligence)

Special Issue on Generative AI and Green Technology for a Sustainable Future
Submission Date: 2025-04-30

The future of Artificial Intelligence (AI) is dependent on the decisions we make today. While advancements in generative AI are impressive, AI remains a double-edged sword in the context of sustainable development. The computational demands of AI technologies can lead to significant energy consumption, presenting a challenge to ecological sustainability. This special issue aims to explore the intersection of Explainable AI (XAI) with Green AI, setting an important frontier in the development of sustainable and responsible systems. By focusing on methodologies, frameworks, and applications that enhance the transparency and eco-sustainability of AI, this issue seeks to promote the development of AI systems that are both transparent and environmentally sensitive.

This special issue invites innovative research that seeks to deepen the broader understanding of the XAI paradigm and the furthering of Green AI principles. We welcome contributions that explore the dual challenge of increasing the transparency of AI while guaranteeing the eco-sustainability of the proposed solutions. Topics of interest include, but are not limited to:

    Theoretical and empirical advancements in Explainable AI
    Green AI techniques for reducing energy consumption in AI systems
    Integrating XAI and Green AI for sustainable computing solutions
    Ethical and environmental considerations in AI system development
    Case studies and XAI applications, such as in the domains of health, environmental monitoring, and smart environments
    Tools and frameworks for evaluating the sustainability and interpretability of AI models
    Impact of XAI and Green AI on reducing bias and improving fairness in AI applications
    Strategies for incorporating domain knowledge into AI for enhanced sustainability and explainability
    Ethical, privacy, and social concerns in applying sustainable AI systems
    Future directions for aligning AI with sustainability

Guest editors:

Irina Trubitsyna, PhD
DIMES, University of Calabria, Arcavacata di Rende, Italy
Email: irina.trubitsyna@dimes.unical.it 

Seyed Ali Ghorashi, PhD
University of East London, London, UK
Email: S.A.Ghorashi@uel.ac.uk

Reza Shahbazian, PhD
DIMES, University of Calabria, Arcavacata di Rende, Italy
Email: reza.shahbazian@dimes.unical.it 

Manuscript submission information:

The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from November 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: GenAI and Green Tech” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Array | Journal | ScienceDirect.com by Elsevier. 

This Special Issue offers 50% APC discount.

Timeline:

Submission Open Date *01/11/2024
Final Manuscript Submission Deadline *30/04/2025
Editorial Acceptance Deadline *31/08/2025

Keywords:

Artificial Intelligence, Explainable AI, Green AI, Generative AI, Sustainable

Special Issue on Recent Advances and Applications in Image Colorization with Deep Learning
Submission Date: 2025-12-31

Image coloring is the process of converting a grayscale image into a color image with natural sensory and visual quality. Image coloring task is a classic computer vision problem, especially, infrared image colorization it has been widely concerned by scholars. Infrared image is obtained by detecting infrared radiation, and it is widely used in military, security monitoring, medicine and geological exploration. However, due to the special nature of infrared images, they lack color information, so coloring infrared images can make it easier for observers to understand and analyze image content. In recent years, image coloring technology has made important progress in the field of natural image and infrared image, especially the latest image coloring algorithms based on deep learning, are constantly proposed, which is of great significance for many application fields, such as medical diagnosis, remote sensing, artistic creation, night vision and other special application fields.  
Full scope of the Special Issue: 

    Image colorization based on deep learning
    Image colorization based on color transfer
    Image colorization based on scribble
    Image colorization based on multi-modal image fusion
    Spectral recovery or colorization of remote sensing image
    Natural image colorization
    Image colorization in biomedical engineering
    Real time applications of image colorization
    Image enhancement
    Low quality image processing

Guest editors:

Xin Jin, PhD
Yunnan University, Kunming, China
Email: xinjin@ynu.edu.cn

Qian Jiang, PhD
Yunnan University, Kunming, China
Email: jiangqian@ynu.edu.cn

Shin-Jye Lee, PhD
National Yang Ming Chiao Tung University, Hsinchu, Taiwan
Email: camhero@gmail.com

Michal Wozniak, PhD
Wroclaw University of Science and Technology, Wroclaw, Poland
Email: michal.wozniak@pwr.edu.pl

Tai Yonghang, PhD
Yunnan Normal University, Kunming, China 
Email: taiyonghang@126.com

Manuscript submission information:

The journal's submission platform (Editorial Manager®) will be open for submissions to this Special Issue from January 10th, 2025. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: Image colorization” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Array | Journal | ScienceDirect.com by Elsevier. 

This Special Issue offers 50% APC discount.

Timeline:

Submission Open Date *10/01/2025
Final Manuscript Submission Deadline *31/12/2025
Editorial Acceptance Deadline *30/04/2026

Keywords:

Image colorization, Artificial Intelligence, Deep learning, Neural networks, Machine learning