Información de la Revista
Factor de Impacto:
Solicitud de Artículos
Applications of Computer Vision
Submission Date: 2021-09-30

Dear Colleagues,

Computer vision (CV) techniques are widely used by the practicing engineer to solve a whole range of real vision problems. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible, covering some practical application of CV methods in all branches of science and engineering. Submitted papers should report some novel aspect of CV use for a real-world engineering application and also validated using data sets. There is no restriction on the length of the papers. Electronic files and software regarding the full details of the calculation or experimental procedure, if unable to be published in a normal way, can be deposited as supplementary electronic material.

The website of the SI is

Focal points of the Special Issue include but are not limited to innovative applications of:

    Medical and biological imaging
    Industrial inspection
    Photo and video interpretation
    Image retrieval
    Video analysis and annotation
    Sensors and more.

Dr. Eva Cernadas
Guest Editor
Última Actualización Por Coleen Shi en 2021-11-09
Special Issues
Special Issue on Special Issue "Applications of Embedded Systems, Volume II"
Día de Entrega: 2022-07-31

Dear Colleagues, Miniaturization and cost reduction have brought embedded systems to the core of the modern technological society, making them ubiquitous in almost every domain. The design, engineering, programming, deployment, and management of applications based on embedded systems require a broad range of approaches, methodologies, and techniques, which are often characteristics of each specific application domain. Embedded system applications are required to cope with limited resources (processing power, memory, energy), communication, and networking, both wired and wireless, interfacing with sensors and actuators, specific programming paradigms, and methodologies, which makes the development of an embedded application a challenging task. The scope of this Special Issue encompasses the full stack of technologies behind modern embedded applications: design of embedded devices, development of software, integration within a larger system, deployment, and management. This Special Issue welcomes contributions on novel and inspiring applications of embedded systems, including, but not limited to, the following domains: Industrial Automation, Manufacturing Robotics Automotive Appliance Automation (Household, Entertainment) Healthcare Wearable Systems Energy Systems, Smart Grid, Home and Building Automation Security, Surveillance Smart Cities Dr. Tullio Facchinetti Guest Editor
Última Actualización Por Coleen Shi en 2021-11-09
Special Issue on "On the Use of Deep Learning for Image/Video Coding and Visual Quality Assessment"
Día de Entrega: 2022-07-31

Special Issue link: Dear Colleagues, With the development of imaging and display technologies, ultra-high-definition, high dynamic range, high frame rate and immersive 360-degree content have emerged in our lives. However, the increase in resolution and dimensionality involves a large amount of data, making its storage or transmission not plausible over existing bandwidth-limited infrastructure. In order to address these challenges, it is desirable to design efficient image/video compression algorithms. Moreover, since there is quality loss during the image/video compression and transmission processes, it is important to have an effective tool to reliably assess, control and ensure high quality. Today, artificial intelligence (AI) is widely used in academia and industry. Deep learning, and especially convolutional neural networks (CNN), is regarded as one of the important AI technologies that have been successfully applied in areas such as image processing, computer vision, and pattern recognition. Currently, the traditional video compression and visual quality assessment methods face a lot of challenges, including high computational complexity, limited coding efficiency, and low prediction accuracy. Deep learning provides a new way to solve these problems. This Special Issue is intended for researchers and practitioners from academia as well as industry who are interested in issues that arise from using deep learning for video data compression and visual quality assessment. The topics of interest include, but are not limited to: Deep learning for image/video compression; Deep learning for rate control and bit allocation optimizations; Deep learning for filtering algorithms; Deep learning for low-complexity video coding algorithms; Deep learning for coding efficiency optimization; Deep learning for Versatile Video Coding (VVC) optimization; Deep learning for 3D/HDR/360-degree video coding; Deep learning for frame interpolation; Deep learning for image/video quality assessment. Dr. Kamel Belloulata Dr. Shiping Zhu Dr. Hamidouche Wassim Dr. Sid Ahmed Fezza Guest Editors
Última Actualización Por Sylvia Liu en 2021-11-25
Special Issue on Wearable Sensors and Technologies in Ergonomics, and Occupational Safety & Health
Día de Entrega: 2022-08-31

Special Issue Website link: Dear Colleagues, Wearable devices have been used in several domains including medical, sports, fitness, rehabilitation, fashion, military, gaming, and entertainment. However, the use of wearable devices for enhanced occupational health, safety, and ergonomics continue to capture the attention of scientists and engineers. Indeed, many researchers are developing these types of innovative medical devices, several of which are reaching the commercial market. The main aim of this Special Issue is to seek high-quality research studies that highlight the recent developments and applications, and address the challenges of wearable sensors/technologies at the workplace. The topics of interest include, but are not limited to: The development, assessment, and application of wearable sensors/technologies in ergonomics. The development, assessment, and application of wearable sensors/technologies in occupational safety and health. The application of wearable sensors for measuring physiological parameters in the workplace. The application of wearable sensors for measuring physical parameters in the workplace. The role of wearable sensors and technologies in decreasing musculoskeletal disorders. The development and applications of exoskeletons in ergonomics. Usability studies related to the application of wearable sensors and technologies in the workplace. Smart personal protective equipment (PPE) in the workplace. Concerns and challenges with using wearable sensors and technologies in the workplace. The market and acceptability of wearable devices in the workplace. Dr. Mohammad Iman Mokhlespour Esfahani Dr. Sol Lim Dr. Reza Akhavian Guest Editors
Última Actualización Por Sylvia Liu en 2021-09-03
Special Issue on Machine Learning: System and Application Perspective
Día de Entrega: 2022-08-31

Dear Colleagues, Machine learning techniques are widely used in many types of computing problems. For example, many types of problems related to computer vision, natural language processing, big data analysis, etc., are solved using machine learning techniques. There are many challenging issues associated with machine learning technologies. As machine learning technologies are based on massive datasets and require a lot of computing resources, they need to be designed from a systems perspective. There are also many new machine learning applications such as VR/AR applications and virtual humans. In this Special Issue, we invite original research articles and review articles dealing with machine learning from a systems or application perspective. A new system architecture for machine learning applications will be addressed from a systems perspective. In particular, how to perform machine learning algorithms in limited resource environments such as cell phones is a challenging problem. From an application point of view, it can cover many types of new applications. For example, a virtual human or virtual robot can become intelligent based on machine learning technology. Potential topics include, but are not limited to, the following: Machine learning systems; New machine learning applications; VR/AR applications using machine learning; System support for machine learning applications; Performance analysis for machine learning systems; Natural language processing based on machine learning; Speech recognition systems based on machine learning; Intelligent virtual human/robot systems. Prof. Dr. Tae-Sun Chung Guest Editor
Última Actualización Por Zackery Wang en 2021-09-19
Special Issue on "Security and Privacy in IoT Enabled Modern Applications Using Deep/Machine Learning and Blockchain Technology"
Día de Entrega: 2022-09-30

Special Issue link: Dear Colleagues, The security and privacy of users have become significant concerns due to the involvement of the Internet of Things (IoT) devices in numerous applications. Cyber threats are growing at an explosive pace, making the existing security and privacy measures inadequate. Hence, everyone on the Internet is a potential victim of hackers. Consequently, Machine Learning (ML) algorithms are used to produce accurate outputs from large complex databases. The generated results can be used to predict and detect vulnerabilities in IoT-based systems. Furthermore, Blockchain (BC) techniques are becoming popular in modern IoT applications to solve security and privacy issues. Several studies have been conducted on either ML algorithms or BC techniques. However, these studies target either security or privacy issues using ML algorithms or BC techniques, thus posing a need for a combined survey on recent years' efforts to address both security and privacy issues in vulnerable IoT devices using ML algorithms and BC techniques. In this Special Issue proposal, we have summarized the research areas to focus on and the title related to cutting-edge topics, addressing security and privacy issues using ML algorithms and BC techniques in the IoT domain. The Special Issue emphasizes the operational elements of the IoT using machine learning techniques that facilitate intelligence in security and privacy challenges in the real world and in cyberspace. Additionally, we will invite authors to submit case studies based on categorizing various security and privacy threats reported in the past few years (especially during the COVID-19 pandemic) in the IoT domain, along with original research papers as well as survey papers. Dr. Piyush Kumar Shukla Dr. Manoj Kumar Dr. Xiaochun Cheng Dr. Prashant Kumar Shukla Guest Editors
Última Actualización Por Sylvia Liu en 2021-11-25
Special Issue on "Recent Advances in Integrated Photovoltaics Systems: Materials, Devices and Applications"
Día de Entrega: 2022-09-30

Special Issue link: Dear Colleagues, Recently, the rapidly growing demand for energy has observed a paradigm shift towards the development of eco-friendly renewable energy sources to replace exhaustible fossil fuels that have a detrimental impact on the environment. Among various renewable technologies, an integrated photovoltaic (PV) system has shown strong potential as a sustainable and economical energy source. Based on advancements in material synthesis, device engineering, and theoretical examination, efficient and stable photovoltaic systems have been developed. This Special Issue intends to bring together high-quality papers focused on the recent developments in renewable energy devices. We believe that your contribution in the form of regular articles or comprehensive reviews would be a perfect addition to this Special Issue. This Special Issue will accommodate the following potential topics (but is not limited to them): Photovoltaic systems; Development and fabrication of semiconductors for photovoltaic systems; Modeling and simulation of integrated photovoltaic applications; Material synthesis for photovoltaic devices; Monitoring and smart planning of photovoltaic systems; Photonic devices integrated with PVs; Theoretical and experimental approaches for photovoltaic applications; Large-scale fabrication of photovoltaic devices; Advancements in building integrated photovoltaic systems; Integration of energy storage systems with photovoltaic devices; Analysis of charge generation and transport in solar cells; Smart monitoring of PV devices; Metamaterials and metasurfaces for photovoltaic applications; UV-Vis-NIR-IR absorbers ; Green energy and photovoltaics; Optimization techniques for photovoltaic systems; Machine learning, artificial intelligence, and deep learning for photovoltaic systems and applications. Dr. Muhammad Ahsan Saeed Dr. Muhammad Mahmood Ali Guest Editors
Última Actualización Por Sylvia Liu en 2021-11-25
Special Issue on Design and Implementation of RF Front-Ends for Next Generation Communication Systems
Día de Entrega: 2022-10-31

Dear Colleagues, The rapid increase in the demands of data transmission rates driven by emerging applications has imposed stringent requirements in the operation frequency and bandwidth for next-generation wireless communication systems. To accommodate the requirements of modern communication systems, new design and implementation technologies for front-end subsystems are necessary. New technologies that lead to compact size, ease of integration, and performance improvement are critical at microwave/millimeter-wave frequencies. This Special Issue is thus devoted to the presentation of the latest developments in passive and active components and circuits in the front ends for the next generation of communication systems. All researchers in the field are invited to contribute their original unpublished works. Both research and review papers are welcome. Topics of interest include but are not limited to: - Device technologies for microwave/millimeter-wave applications; - Power-combining techniques; - Low-noise amplifier circuits; - Power amplifier circuits; - Switches; - Antennas; - Antenna arrays; - Filters; - Passive components; - Materials for microwave/millimeter-wave applications. For further information, please visit: Prof. Dr. Heng-Tung Hsu Prof. Dr. Jeng-Han Tsai Dr. Kuniyuki Kakushima Guest Editors
Última Actualización Por Joy Li en 2021-11-09
Special Issue on "Recent Advanced Applications of Rehabilitation and Medical Robotics"
Día de Entrega: 2022-10-31

Special Issue link: Dear Colleagues, Robotic technologies are able to provide precise and accurate sensing and movement capabilities. Recently, advances in the applications of rehabilitation and medical robots have led to powerful insights about the nature of understanding and augmenting rehabilitation and medical treatments. However, new and challenging theoretical and technological problems are being posed. One can apply state-of-the-art robotic technologies in different ways, including robot-assisted surgery, upper and lower limb rehabilitation, cognitive computation, behavioural intelligence and statistics. Such convergence of interests is encouraging, but few researchers in this active area communicate across disciplinary boundaries, and even fewer are skilled in the ‘language’ and techniques of more than one approach. With this new era of rehabilitation and medical robotics, much research is needed in order to continue to advance the field and also to evaluate the multidisciplinary concerns of the existing robotics and learning techniques. The main aim of this Special Issue is to seek high-quality submissions that highlight emerging applications and address recent breakthroughs in medical and rehabilitation robotics. The topics of interest include, but are not limited to: Robot-assisted surgery; Upper and lower limb rehabilitation; Medical image analysis; EEG/sEMG data analytics; Stroke rehabilitation; Brain-computer interfaces; Haptic sensing; Neuro-imaging based diagnosis; Neural image captioning; Cognitive computation for healthcare; Targeted neuroplasticity; Human activity recognition; Extraction and optimisation techniques; Human-machine interfaces/integrations; Humanoid service robotics; Teleoperation/ telerobotics; Medical devices and instrumentation; Mobile healthcare; Rehabilitation games. Prof. Dr. Pengcheng Liu Prof. Dr. Guibin Bian Dr. Anwar P.P. Abdul Majeed Prof. Dr. Ahmad Athif Guest Editors
Última Actualización Por Sylvia Liu en 2021-11-25
Special Issue on Stretchable and Wearable Electronics
Día de Entrega: 2022-12-20

Dear Colleagues, Stretchable and wearable electronics have emerged and received significant interest in both research and commerce in recent years. This interest stems from the huge demand for their unique electrical and mechanical performance, which can endow electronic devices unprecedented applications. On the one hand, they can be used in circumstances where they were previously difficult to apply, for example, human skin, tissue-like electronics, stretchable supercapacitors and other circumstances, which greatly broadens the application scenarios for electronic devices. On the other hand, a large number of solution-processable organic or nano materials are adopted in them, and printing technology such as 3D printing, ink-jet printing and some other deposition methods, such as thermal evaporation, sputtering and chemical vapor deposition (CVD), alone or in combination, can also be used to fabricate them. These features make them significantly more available compared to traditional silicon-based electronics, making the manufacturing cost significantly lower and facilitating the diffusion of flexible electronics. As a result, they play an extremely important role in promoting the development of stretchable and wearable electronics. Furthermore, 5G technology and Internet of Things (IoT) technology are expected to contribute to dramatic changes in the fields of healthcare, environmental monitoring, human–machine interface, and energy conversion. The aims of this Special Issue are to showcase the latest developments in stretchable and wearable electronics, which will cover, but are not limited to, the following categories: Flexible electronics; Textile-based electronic devices; Stretchable supercapacitors; Biological and chemical sensors; Organic thin-film transistors; Photovoltaic cells; Flexible logic circuits; Flexible photodetectors; Actuators; Hydrogels. Dr. Shuye Zhang Prof. Dr. Wen-Can Huang Prof. Dr. Baoyang Lu Dr. Libo Gao Prof. Dr. Zhenhua Tang Prof. Dr. Weike Zhang Dr. Shengxia Li Dr. Yue Zhang Dr. Shumi Zhao Guest Editors
Última Actualización Por Riley Wang en 2021-12-20
Special Issue on Advances on Ceramic Microsystems
Día de Entrega: 2022-12-31

Dear Colleagues, In recent years, ceramic technologies have experienced a renaissance. The growing interest can be observed in the field of developing ceramic-based materials, as well as in the area of their application, such as microwave devices, chemical and biological sensors, integrated circuits, etc. Ceramic-based materials are mostly characterized by the relative simplicity of forming diverse structures, high resistance to harsh environmental conditions and the possibility of integrating such structures with components fabricated by various microelectronic technologies at low cost. Due to the aforementioned advantages, topics well-suited to this paper include, but are not limited to: 1. new trends and achievements in ceramic-based materials; 2. novel microelectronics applications of ceramics; 3. ceramic materials adjusted to microwave applications; 4. microelectronic ceramic sensors; 5. hybrid ceramic-based devices; 6. theoretical and empirical studies of designing, developing and fabricating the ceramic-based microelectronic modules. Keywords: - ceramic microsystems - ceramic fabrication - LTCC - ceramic sensors - Lab-on-Chip - glass-ceramics - Integrated ceramic-based modules - thick-film sensors For further information, please visit: Prof. Dr. Karol Malecha Dr. Laura Jasinska Guest Editors
Última Actualización Por Joy Li en 2021-11-09
Special Issue on "Recent Advances in AI-Enabled Internet of Things Security and Privacy"
Día de Entrega: 2022-12-31

Special Issue link: Dear Colleagues, We are experiencing explosive growth in digital data and connected devices today based on the successful realization of the Internet of Things (IoT). The application of artificial intelligence (AI) and machine learning (ML) is prevalent in a wide range of fields. In recent years, AI and ML techniques have been gaining importance as tools to provide intelligence to the IoT. With increased intelligence, the goal of AI-enabled IoT is to provide better heterogeneous connectivity, ubiquitous coverage, reduced network and device complexity, enhanced power savings, and enhanced resource management. However, due to the deployment of AI-based intelligence for IoT applications, a new set of problems, challenges, risks, and vulnerabilities have been introduced. Thus, it is important to address the challenges provided by intelligent cyberattacks that are targeted towards AI-based IoT. Prospective authors are invited to submit original manuscripts on topics including, but not limited to: Security and privacy issues in intelligent industrial IoT Security and privacy issues in intelligent medical IoT Security and privacy issues in intelligent smart city IoT Security and privacy issues in vehicular IoT Security and privacy issues of blockchain technologies for AI-enabled IoT Security and privacy issues in intelligent edge network Attack models for AI-enabled IoT systems Adversarial learning in AI-enabled IoT systems AI-based intrusion detection in IoT systems Federated learning-based security techniques in intelligent IoT systems Experimental testbeds for testing security in AI-enabled IoT systems Prof. Dr. Insoo Sohn Prof. Dr. Huaping Liu Prof. Dr. Tae (Tom) Oh Guest Editors
Última Actualización Por Sylvia Liu en 2021-11-25
Special Issue on Reliable Industry 4.0 Based on Machine Learning and IoT
Día de Entrega: 2023-01-31

Dear Colleagues, The fourth industrial revolution, known as Industry 4.0, can provide and integrate many advanced technologies for automation so as to contribute to the operational efficiency and effectiveness of production processes, particularly, the process of combining smart machines and systems. The key technologies of Industry 4.0 are cyber-physical systems, Internet of things (IoT), big data analytics, cloud computing, machine learning, artificial intelligence, visualization, virtual reality, and autonomous robots towards practical applications in many industrial areas. To enhance the reliability of Industry 4.0, researchers from many fields and industries have to work together applying the new technologies in practical applications to provide secure online monitoring and control. This special issue aims to encourage scholars and researchers to present research achievements of state-of-the-art technologies with respect to reliable Industry 4.0 based on machine learning and IoT. Authors are encouraged to submit papers in any of the following potential topics or related areas of Industry 4.0. Keywords: Cyber-physical systems Industrial Internet-of-Things (I-IoT) Advanced robotics (collaborative and adaptive robots) Additive manufacturing, hybrid manufacturing, and 3D printing Smart manufacturing Autonomous vehicles and drones Industrial big data and data analytics Machine learning (ML) and Artificial Intelligence (AI) Cloud computing for Industry 4.0 Augmented reality (AR) and virtual reality (VR) technologies Distributed manufacturing Planning and scheduling in Industry 4.0 Energy in Industry 4.0 Dr. Mahmoud Elsisi Dr. Minh-Quang Tran
Última Actualización Por Jenny Lin en 2021-09-03
Special Issue on Computer-Aided Design for Integrated Circuits and Systems
Día de Entrega: 2023-01-31

Dear Colleagues, Currently, we are witnessing a rapid development of semiconductor technology. As a result of the transition from microelectronics to nanoelectronics, new families of VLSI chips have appeared. The modern integrated circuits and systems consist of billions and billions of semiconductor transistors. Now, a single chip is enough to implement very complex digital and mixed digital-analog systems. The stiff competition between the manufacturers of integrated circuits and VLSI systems guarantees that only the best products come to the market. The enormous complexity of modern circuits and systems requires the use of Computer-Aided Design (CAD) tools that automate the different stages of the design flow. Unfortunately, modern CAD tools cannot effectively use all the potential opportunities provided by current integrated circuits. As before, many problems related to the design process still require active human intervention. Therefore, there is an obvious need to improve the theory and practice in circuit design automation in order to provide solutions to these problems. To sum up, the ever-increasing complexity of current and future industrial projects requires the development of efficient CAD tools that facilitate the implementation of complex integrated circuits and systems. The aim of this Special Issue is to present novel practical and theoretical approaches related to the CAD of integrated circuits and systems. In particular, methodologies, tools, algorithms, and architectures that allow improving the efficiency of integrated circuits and systems in terms of performance, area occupancy, or power consumption are welcome. Topics of interest of this Special Issue include, but are not limited to, the following: · Theory of Computer-Aided Design; · Design methods for reliable and high-efficient (in speed, power consumption or area) integrated circuits and systems; · Formal methods for System-Level Design; · Energy-efficient integrated circuits and systems; · Design flow for ASICs and programmable devices (FPGAs and CPLDs); · Synthesis of synchronous/asynchronous digital systems; · Benchmarking in circuit design automation; · Design for testability; · Design, implementation, and verification of Finite State Machines; · Packing and technology mapping; · Verification and simulation of digital integrated circuits and systems; · HW/SW co-design; · · Design exploration; · CAD for embedded systems; · CAD for Cyber-Physical Systems; · CAD for networking systems; · Reconfigurable computing. Guest Editors Prof. Dr. Alexander Barkalov Prof. Dr. Larysa Titarenko Prof. Dr. Raouf Senhadji-Navarro Special Issue Link:
Última Actualización Por Joy Li en 2021-12-31
Special Issue on Mini-LED, Micro-LED and OLED Displays: Present Status and Future Perspectives
Día de Entrega: 2023-01-31

Submission deadline: 2023-01-31 Dear Colleagues, Display technologies have become integral parts of our everyday lives. Their applications cover from smartphones, televisions, cars, and watches to emergent augmented reality and virtual reality. Mini-LED, OLED and Micro-LED are the three next-generation display technologies that have escalated from the research and development phase and have now materialized into commercial products. Despite their similarity in name, they are actually quite different technologically and backed by different display manufacturers. Several technological and scientific efforts have continuously been made to provide better display products. These three technologies have revolutionized the display world, and each one has different advantages and disadvantages in terms of contrast ratio, resolution density, color gamut, viewing angle, power consumption and the asking price. This Special Issue is in the scope of optoelectronics and flexible electronics and it welcomes theoretical and experimental studies related to the emerging Mini-LED, OLED and Micro-LED display technologies and highlight the current status of this emissive displays. The capability of these technologies to realize monolithic and heterogeneous devices and their integration in transparent/flexible support to be used in “see-through” applications will be addressed. This issue also covers the light generation mechanisms based on the structure–property relationships and on the size-dependent power efficiency. This Special Issue will also deal with more general aspects such as the synthesis of new materials, the engineering of new device architectures and realization, the photophysical and photoelectric characteristics. Submitted manuscripts should address one or more of the following themes, although other relevant topics will also be considered: The path for OLED in displays; Thin film OLED encapsulation; Efficient material based OLED development; Light extraction; Micro-LED array and growth techniques; Micro-LED arrays on flexible substrates; Color conversion techniques; GaN LED monolithic integration for lighting and displays; Internal Quantum Efficiency of µ-led device; Mini‐LED full-color displays; Mini-LED and µ-LED displays pixel circuit design; Next generation display technologies. Prof. Dr. Alexis Fischer Dr. Mahmoud Chakaroun Guest Editors
Última Actualización Por Catherin Song en 2022-01-06
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