Submission Preparation ChecklistAs part of the submission process, authors are required to check off their submission's compliance with all of the following items, and submissions may be returned to authors that do not adhere to these guidelines.
- The submission has been prepared in accordance with the journal's Instructions for Authors and follows all the journals' policy requirements.
- The submission file is in Microsoft Word format.
- All co-authors must be included at the time of submission with valid e-mail addresses.
- No part of the manuscript has been, or will be, published elsewhere nor is under consideration for publication elsewhere.
- The submitted paper contains no proprietary material unprotected by patent or patent application.
- The submitted paper contains no plagiarism/copying and fraudulent data.
Special Issue: Synergies of Neural Networks, Neurorobotics, and Brain-Computer
Special Issue: Federated Learning for the Internet of Things and Machine Learnin
Special Issue: Toward an Intelligent Edge in the Internet of Things Era
The advent of fifth generation communication systems, known as the 5G reality Internet of Things (IoT) concept. Consequently, a series of smart applications are forming based on the integrating of IoT technology, smart sensors, and different computing schemes and such as smart agriculture, smart healthcare, smart homes/cities, smart retail, etc. to enhance the quality of life for humanity. However, these applications are facing several issues such as service response time, quality of service (QoS) guarantees, energy consumption, privacy, and security. To address these problems, some recent studies have proposed implementing artificial intelligence (AI) at the edge of networks and forming the Intelligent Edge concept. As a result, this helps reduce service response time, saving energy, and computing costs and improving overall performance. However, it's still several problems when integrating AI into the edge of the network. Traditional AI techniques are deployed on powerful servers with centralized training data while Edge devices with resources-constrained.
Topic: Machine Learning in Computer and Information Systems
Machine learning is the process of a computer modeling human intelligence, and autonomously improving over time. Machines are able to make predictions about the future based on what they have observed and learned in the past. The topics include but are not limited to:
|Logistic Regression||Decision Tree|
|Principal Component Analysis||Hierarchical Naïve Bayes|
|Random Forest||Support Vector Machine|
|Reinforcement learning||Unsupervised learning|
|Supervised learning||Deep learning|
|Self-Organizing Maps||Topic model|
|Dimensionality reduction||Artificial Neural Networks|
|Deep Neural Network||K-nearest neighbor|
|Linear regression||Canonical correlation analysis|
Topic: Application of Virtual Reality and Augmented Reality Technologies in Inte
Virtual reality is an advanced computer simulation experience technology that uses posture tracking and 3D computer drawing technology and various intelligent virtual display devices to provide users with an immersive feeling of the virtual world and allow users to interact with each other in a manually created real world. The main features of virtual reality are identified as spatial conception, perception comprehensiveness, and information interaction. Virtual reality typically incorporates auditory and video feedback, but may also allow other types of sensory and force feedback through haptic technology. These features are generally applied across different fields, such as environmental design, architecture, public art design, and other industries. a wide range of topics including, but not limited to:
♦ Original research studies of Virtual Reality, Augmented Reality, Mixed Reality, extended reality and Computer vision techniques, Computer graphics techniques, Immersive analytics and visualization techniques, and applications
♦ Development and evaluation of systems, tools, techniques, and software that advance the field, including display technologies, Head Mounted Displays, simulators, and immersive displays.
♦ Haptic technologies, including novel devices, interaction, and rendering, Haptic and tactile interfaces, wearable haptics, passive haptics, pseudo haptics
♦ Interaction management, including gesture control, eye gaze, biosensors, biofeedback, Human-computer interaction for VR/AR/MR/ER, Audio interfaces, Brain interface, Multimodal/cross-modal interaction, and perception and wearables
♦ Tracking technologies, motion capture, 3D spatial sound, virtual smell, Tracking and sensing, and virtual taste
♦ VR/AR/MR/ER in medicine, including training, surgical simulation, rehabilitation, and tissue/organ modeling.
♦ Impactful and original applications and studies of VR/AR/MR/ER’s utility in areas such as manufacturing, business, telecommunications, arts, education, design, entertainment, and defense
♦ Research demonstrating new techniques and approaches to designing, building, and evaluating virtual and augmented reality systems
♦ Original research studies assessing the social, ethical, data, or legal aspects of VR/AR/MR/ER
Topic: Software Design and Program Development
Software Design and Program Development play a key role in the software development process. Different methods are used for architecture design and detailed design evaluation. The topics include but are not limited to:
|Computer programming languages and programming||Parallel programming|
|Software structure design||Software quality assessment|
|Software analysis methods and tools||Debugging|
|Software requirements analysis||Application Testing and Design|
|Test case design and execution||Testing Application Vulnerabilities|
|Software modeling and analysis||Software testing in IoT (Internet of Things)|
|Software design and estimation||Importance of agile and DevOps principles|
|Software frameworks and architectural||Security testing tool|
|Architectural and design patterns||Software testing, diagnosis, and validation|
|Software process models||Design principles|
|Project management||Software performance|
|Software testing to combat cybersecurity and risk compliance||Machine learning and artificial intelligence to enhance automated software testing|
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