Hanbin Luo
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View article: LRS-DETR：A lightweight and efficient real-time detection algorithm for small targets of UAVs based on RT-DETR
LRS-DETR：A lightweight and efficient real-time detection algorithm for small targets of UAVs based on RT-DETR Open
To address the challenges of small object detection in complex UAV environments, including dense target distribution, difficulty in feature extraction, and the limited computational resources of UAV platforms. This paper proposes LRS-DETR,…
View article: Detoxification and Activating Blood Circulation Decoction Promotes Reendothelialization of Damaged Blood Vessels <i>via</i> VEGF Signaling Pathway Activation by miRNA-126
Detoxification and Activating Blood Circulation Decoction Promotes Reendothelialization of Damaged Blood Vessels <i>via</i> VEGF Signaling Pathway Activation by miRNA-126 Open
The occurrence of in-stent restenosis (ISR) poses a significant challenge for percutaneous coronary intervention (PCI). Thus, the promotion of vascular reendothelialization is essential to inhibit endothelial proliferation. In this study, …
View article: RANDOM FIELD-BASED TUNNELING INFORMATION MODELING FRAMEWORK FOR PROBABILISTIC SAFETY ASSESSMENT OF SHIELD TUNNELS
RANDOM FIELD-BASED TUNNELING INFORMATION MODELING FRAMEWORK FOR PROBABILISTIC SAFETY ASSESSMENT OF SHIELD TUNNELS Open
Probabilistic analysis based on random field (RF) has been widely adopted in the safety assessment of shield tunnels. However, its practical applicability has been limited by the intricacy involved with integrating geotechnical data and tu…
View article: T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs
T-TIME: Test-Time Information Maximization Ensemble for Plug-and-Play BCIs Open
To our knowledge, this is the first work on test time adaptation for calibration-free EEG-based BCIs, making plug-and-play BCIs possible.
View article: Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling
Attention-based LSTM predictive model for the attitude and position of shield machine in tunneling Open
Shield machine may deviate from its design axis during excavation due to the uncertainty of geological environment and the complexity of operation. This study therefore introduced a framework to predict the attitude and position of shield …
View article: User Identity Protection in EEG-Based Brain–Computer Interfaces
User Identity Protection in EEG-Based Brain–Computer Interfaces Open
A brain-computer interface (BCI) establishes a direct communication pathway between the brain and an external device. Electroencephalogram (EEG) is the most popular input signal in BCIs, due to its convenience and low cost. Most research o…
View article: A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework
A Bayesian-based knowledge tracing model for improving safety training outcomes in construction: An adaptive learning framework Open
Safety training plays a pivotal role in effectively reducing unsafe behaviors in the construction industry. Despite the numerous effort to improve safety training, existing studies lacked consideration of trainees' different learning chara…
View article: Benefits Realization Management of Computer Vision in Construction: A Missed, Yet Not Lost, Opportunity
Benefits Realization Management of Computer Vision in Construction: A Missed, Yet Not Lost, Opportunity Open
There have been many studies examining computer vision-enabled research in construction. They use an array of algorithms to recognize ‘objects’ in images and videos to classify, segment or verify information based on generic databases. The…
View article: Sustainable road alignment planning in the built environment based on the MCDM-GIS method
Sustainable road alignment planning in the built environment based on the MCDM-GIS method Open
Sustainable road planning in the cities' built-up areas strives to meet traffic demands of society within limited spaces available for construction and various constraints in the built environment considering engineering, traffic, economic…
View article: Building demolition estimation in urban road widening projects using as-is BIM models
Building demolition estimation in urban road widening projects using as-is BIM models Open
Building demolition caused by urban road widening projects can lead to engineering, economic, and environmental issues and should be planned at the design stage. Based on as-is BIM, this paper proposes a method to estimate the building dem…
View article: Privacy-Preserving Brain–Computer Interfaces: A Systematic Review
Privacy-Preserving Brain–Computer Interfaces: A Systematic Review Open
A brain-computer interface (BCI) establishes a direct communication pathway\nbetween the human brain and a computer. It has been widely used in medical\ndiagnosis, rehabilitation, education, entertainment, etc. Most research so far\nfocuse…
View article: Underpass clearance checking in highway widening projects using digital twins
Underpass clearance checking in highway widening projects using digital twins Open
Main road widening can reduce the clearance of the low-level underpass road, restricting the passage of vehicles and leading to collisions with structures. Therefore, checking the clearance of the underpass road effectively should be consi…
View article: Adversarial attacks and defenses in physiological computing: a systematic review
Adversarial attacks and defenses in physiological computing: a systematic review Open
\nPhysiological computing uses human physiological data as system inputs in real time. It includes, or significantly overlaps with, brain-computer interfaces, affective computing, adaptive automation, health informatics, and physiological …
View article: Tiny noise, big mistakes: Adversarial perturbations induce errors in \n Brain-Computer Interface spellers
Tiny noise, big mistakes: Adversarial perturbations induce errors in
\n Brain-Computer Interface spellers Open
An electroencephalogram (EEG)-based brain-computer interface (BCI) speller allows a user to input text to a computer by thought. It is particularly useful to severely disabled individuals, e.g. amyotrophic lateral sclerosis patients, who h…
View article: Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review
Adversarial Attacks and Defenses in Physiological Computing: A Systematic Review Open
Physiological computing uses human physiological data as system inputs in real time. It includes, or significantly overlaps with, brain-computer interfaces, affective computing, adaptive automation, health informatics, and physiological si…
View article: Estimation of High Structural Reliability Involving Nonlinear Dependencies Based on Linear Correlations
Estimation of High Structural Reliability Involving Nonlinear Dependencies Based on Linear Correlations Open
Stochastic nonlinear dependencies have been reported extensively between different uncertain parameters or in their time or spatial variance. However, the description of dependency is commonly not provided except a linear correlation. The …
View article: Uncertainty and Sensitivity Analysis of Significant Parameters for Superlarge Diameter Shield Excavation
Uncertainty and Sensitivity Analysis of Significant Parameters for Superlarge Diameter Shield Excavation Open
Excavation of a superlarge diameter tunnel by tunnel boring machine (TBM) is different from that of a shield tunnel with normal dimension, in which the control system of the superlarge TBM is very complicated and difficult to operate. Henc…
View article: Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM)
Pool-Based Unsupervised Active Learning for Regression Using Iterative Representativeness-Diversity Maximization (iRDM) Open
Active learning (AL) selects the most beneficial unlabeled samples to label, and hence a better machine learning model can be trained from the same number of labeled samples. Most existing active learning for regression (ALR) approaches ar…