C.K.M. Lee
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View article: Integrating AI and 3D Digital Technologies to Assist in the Stylistic Analysis of Taiwanese Artisan Paintings: A Case Study on Door God Imagery
Integrating AI and 3D Digital Technologies to Assist in the Stylistic Analysis of Taiwanese Artisan Paintings: A Case Study on Door God Imagery Open
In Taiwanese temple decorative arts, door god paintings serve not only religious purposes but also reflect the distinct styles of individual artisans. With the advancement of digital preservation, Artificial Intelligence (AI) offers new op…
View article: An AI-Generated Content-Enabled Personalized Design Approach for Proactive User Interaction in an Immersive Environment
An AI-Generated Content-Enabled Personalized Design Approach for Proactive User Interaction in an Immersive Environment Open
Rapid advancements in artificial intelligence and immersive technologies are revolutionizing various sectors, notably product design. However, the traditional personalized design process, which depends on predefined elements with limited u…
View article: AI-Driven Knowledge Management in Megaprojects: The Leadership Factor
AI-Driven Knowledge Management in Megaprojects: The Leadership Factor Open
With the increasing complexities and uncertainties, the integration of artificial intelligence has become paramount as the utilization of digital technologies has transformed the management practices across industries, especially in the do…
View article: Determinants of Behavioral Intention in Augmented Reality Filter Adoption: An Integrated TAM and Satisfaction–Loyalty Model Approach
Determinants of Behavioral Intention in Augmented Reality Filter Adoption: An Integrated TAM and Satisfaction–Loyalty Model Approach Open
This study dives into what drives people to use AR filters in the catering industry, focusing on the Hong Kong market. The main idea is to determine how “perceived value” shapes users’ intentions to engage with these filters. To do this, t…
View article: Applying Smart Healthcare and ESG Concepts to Optimize Elderly Health Management
Applying Smart Healthcare and ESG Concepts to Optimize Elderly Health Management Open
As the aging population grows, ensuring effective and sustainable health management for elderly individuals has become a critical challenge. This study explores the integration of smart healthcare technologies and ESG (Environmental, Socia…
View article: Design and Development of a Trust Mechanism to Enhance Security Protection in SDN‐Based IoT Network
Design and Development of a Trust Mechanism to Enhance Security Protection in SDN‐Based IoT Network Open
A reliable and trustworthy network is essential for ensuring efficient data transmission, particularly because the widespread adoption of the Internet of Things (IoT) requires management of a large and diverse set of smart devices. In addi…
View article: Advances in sustainable additive manufacturing: a systematic review for construction industry to mitigate greenhouse gas emissions
Advances in sustainable additive manufacturing: a systematic review for construction industry to mitigate greenhouse gas emissions Open
Background and Objective Additive Manufacturing (AM), driven by digital 3D design data, is a transformative technology that holds significant potential to revolutionize the construction industry. Its untapped capacity to optimize material …
View article: A Novel Multi-Criteria Decision-Making Framework of Vehicle Structural Factor Evaluation for Public Transportation Safety
A Novel Multi-Criteria Decision-Making Framework of Vehicle Structural Factor Evaluation for Public Transportation Safety Open
Proper management of vehicle structural factors related to public transportation safety is vital to formulate maintenance strategies and to enhance transportation safety. Therefore, this work aims to comprehensively identify potential stru…
View article: A machine learning-based recommendation framework for material extrusion fabricated triply periodic minimal surface lattice structures
A machine learning-based recommendation framework for material extrusion fabricated triply periodic minimal surface lattice structures Open
Lattice structures (LS) have been utilized in various fields, from engineering to biomedical sciences. In the lattice structures, the triply periodic minimal surface (TPMS) LS attains benefits in terms of higher productivity and less mater…
View article: Sensory Integration in the Intensive Care Unit Environment
Sensory Integration in the Intensive Care Unit Environment Open
Those admitted to the intensive care unit (ICU) commonly experience deficits in areas linked with cognition, mental health, and physical functioning (Rapolthy-Beck et al., 2023). Delirium is the most common complication among individuals w…
View article: DeepPack3D: A Python package for online 3D bin packing optimization by deep reinforcement learning and constructive heuristics
DeepPack3D: A Python package for online 3D bin packing optimization by deep reinforcement learning and constructive heuristics Open
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View article: Lithium-Ion Battery Life Prediction Using Deep Transfer Learning
Lithium-Ion Battery Life Prediction Using Deep Transfer Learning Open
Lithium-ion batteries are critical components of various advanced devices, including electric vehicles, drones, and medical equipment. However, their performance degrades over time, and unexpected failures or discharges can lead to abrupt …
View article: Intelligent Fault Diagnosis Across Varying Working Conditions Using Triplex Transfer LSTM for Enhanced Generalization
Intelligent Fault Diagnosis Across Varying Working Conditions Using Triplex Transfer LSTM for Enhanced Generalization Open
Fault diagnosis plays a pivotal role in ensuring the reliability and efficiency of industrial machinery. While various machine/deep learning algorithms have been employed extensively for diagnosing faults in bearings and gears, the scarcit…
View article: The Environmental Kuznets Curve (EKC) Hypothesis on GHG emissions: analyses for transportation industry of South Africa
The Environmental Kuznets Curve (EKC) Hypothesis on GHG emissions: analyses for transportation industry of South Africa Open
A series of energy-econometrics techniques were employed for a 5-year time span between 2016 and 2020. The tests of Environmental Kuznets Curve (EKC) hypothesis were conducted essentially to examine the significance of economic growth (GDP…
View article: Exploring Eco-Innovation Barriers to the Sustainability Transition in Cold Chain E-Fulfilment Systems
Exploring Eco-Innovation Barriers to the Sustainability Transition in Cold Chain E-Fulfilment Systems Open
The growing demand for cold chain e-fulfilment services has created challenges for implementing low-carbon practices due to the use of extensive energy and insulation materials required to maintain the desired service quality throughout th…
View article: Achieving eco-innovative smart glass design with the integration of opinion mining, QFD and TRIZ
Achieving eco-innovative smart glass design with the integration of opinion mining, QFD and TRIZ Open
Modern consumption patterns lead to massive waste, which poses challenges in storage and highlights the urgent need for more sustainable product development. Customer feedback on products plays a crucial role in product design, yet previou…
View article: Guest Editorial Urban Sensing: Applications, Technologies, and Systems
Guest Editorial Urban Sensing: Applications, Technologies, and Systems Open
The continuing, unprecedented growth in urban population has placed renewed emphasis on aspects such as sustainable development, environmental impact, public health, and mobility. Urban sensing plays a vital role in the ability to monitor …
View article: A machine learning-based recommendation framework for material extrusion fabricated triply periodic minimal surface lattice structures
A machine learning-based recommendation framework for material extrusion fabricated triply periodic minimal surface lattice structures Open
Triply Periodic Minimal Surface (TPMS) lattice structures are utilized in diverse fields such as engineering, material design, and biomedical. The use of appropriate TPMS lattice structures in 3D printing can obtain benefits in terms of pr…
View article: A case series on safety and tolerability of human umbilical cord-derived mesenchymal stem cells on patients in Malaysia
A case series on safety and tolerability of human umbilical cord-derived mesenchymal stem cells on patients in Malaysia Open
Umbilical cord-derived mesenchymal stem cells for regenerative therapy are a promising treatment option for chronic illnesses. Umbilical cord-derived mesenchymal stem cells offer several advantages over other sources, which makes them an a…
View article: A two-level charging scheduling method for public electric vehicle charging stations considering heterogeneous demand and nonlinear charging profile
A two-level charging scheduling method for public electric vehicle charging stations considering heterogeneous demand and nonlinear charging profile Open
This paper investigates the electric vehicle (EV) charging scheduling problem for public EV charging stations (EVCSs) that can accommodate heterogeneous charging demands, aiming to flatten the aggregate load on the power grid and reduce th…
View article: Seamless Industry 4.0 Integration: A Multilayered Cyber-Security Framework for Resilient SCADA Deployments in CPPS
Seamless Industry 4.0 Integration: A Multilayered Cyber-Security Framework for Resilient SCADA Deployments in CPPS Open
The increased connectivity and automation capabilities of Industry 4.0 cyber-physical production systems (CPPS) create significant cyber-security vulnerabilities in supervisory control and data acquisition (SCADA) environments if robust pr…
View article: Data-Driven GWO-BRNN-Based SOH Estimation of Lithium-Ion Batteries in EVs for Their Prognostics and Health Management
Data-Driven GWO-BRNN-Based SOH Estimation of Lithium-Ion Batteries in EVs for Their Prognostics and Health Management Open
Due to the complexity of the aging process, maintaining the state of health (SOH) of lithium-ion batteries is a significant challenge that must be overcome. This study presents a new SOH estimation approach based on hybrid Grey Wolf Optimi…
View article: Modelling of Earphone Design Using Principal Component Analysis
Modelling of Earphone Design Using Principal Component Analysis Open
This research investigated a mathematical model of earphone design with principal component analysis. Along with simplifying the design problem, a predictive model for the sound quality indicators, namely, total harmonic distortion, power …