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Random walk simulation by population dynamics P systems
PDP systems have been widely used for real-life applications, such as systems biology, ecosystems, physics or economy, among others. Complex systems...
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Interchange flow control with dynamic obstacles optimized using genetic algorithms—a concept of virtual walls
In the near future, autonomous vehicles will be able to share information with other vehicles via communication, enabling appropriate traffic control...
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P systems with reactive membranes
Membranes are one of the key concepts in P systems and membrane computing, and a lot of research activities focus on their properties and possible...
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A Novel Method for Human-Vehicle Recognition Based on Wireless Sensing and Deep Learning Technologies
Currently, human-vehicle recognition (HVR) method has been applied in road monitoring, congestion control, and safety protection situations. However,...
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Synergy of Human-Centered AI and Cyber-Physical-Social Systems for Enhanced Cognitive Situation Awareness: Applications, Challenges and Opportunities
This paper explores the convergence of Human-Centered AI (HCAI) and Cyber-Physical Social Systems (CPSS) in pursuing advanced Cognitive Situation...
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An eXplainable Artificial Intelligence Methodology on Big Data Architecture
Although artificial intelligence has become part of everyone’s real life, a trust crisis against such systems is occurring, thus increasing the need...
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A Perceived Risk Index Leveraging Social Media Data: Assessing Severity of Fire on Microblogging
Fires represent a significant threat to the environment, infrastructure, and human safety, often spreading rapidly with wide-ranging consequences...
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Adversarial attacks in computer vision: a survey
Deep learning, as an important topic of artificial intelligence, has been widely applied in various fields, especially in computer vision...
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Weighted coupled neural P systems with inhibitory rules and multiple channels
Coupled neural P systems (CNP systems) a model for computing, which is abstracted by the neuronal model of the mammalian visual cortex developed by...
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Cognitive Impairment Detection Based on Frontal Camera Scene While Performing Handwriting Tasks
Diagnosing cognitive impairment is an ongoing field of research especially in the elderly. Assessing the health status of the elderly can be a...
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A Novel Resilient and Intelligent Predictive Model for CPS-Enabled E-Health Applications
Cyber-physical-social-systems interconnect diverse technologies and communication infrastructure to the Internet for environmental sensing and...
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Performance evaluation of character-level CNNs using tweet data and analysis for weight perturbations
Character-level convolutional neural networks (CLCNNs) are commonly used to classify textual data. CLCNN is used as a more versatile tool. For...
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Interpreting artificial intelligence models: a systematic review on the application of LIME and SHAP in Alzheimer’s disease detection
Explainable artificial intelligence (XAI) has gained much interest in recent years for its ability to explain the complex decision-making process of...
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Examining the reliability of brain age algorithms under varying degrees of participant motion
Brain age algorithms using data science and machine learning techniques show promise as biomarkers for neurodegenerative disorders and aging....
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Intelligent Inspection Guidance of Urethral Endoscopy Based on SLAM with Blood Vessel Attentional Features
Due to small imaging range of lens, blurring by jitter in the operation process and high similarity of urethral image features observed in different...
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Effects of excessive elitism on the evolution of artificial creatures with NEAT
This paper proposes a simple method based on a novel use of elitism to increase the population size of artificial creatures while minimizing...
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Investigation of a single object shape for efficient learning in bin picking of multiple types of objects
In recent years, many studies have used Convolutional Neural Networks (CNN) as an approach to automate bin picking tasks by robots. In these previous...
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Diabetic Foot Ulcer Detection: Combining Deep Learning Models for Improved Localization
Diabetes mellitus (DM) can cause chronic foot issues and severe infections, including Diabetic Foot Ulcers (DFUs) that heal slowly due to...
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Estimated camera trajectory-based integration among local 3D models sequentially generated from image sequences by SfM–MVS
This paper describes a three-dimensional (3D) modeling method for sequentially and spatially understanding situations in unknown environments from an...
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A CPG-based gait planning method for bipedal robots
Gait planning is one of the main focuses in the research field of bipedal robotics. To enhance the stability and simplicity of gait planning for...
