- Lightning and Electromagnetic Phenomena
- Privacy, Security, and Data Protection
- Domain Adaptation and Few-Shot Learning
- Geology and Paleoclimatology Research
- Advanced Decision-Making Techniques
- High-Voltage Power Transmission Systems
- Geological formations and processes
- Geological and Geophysical Studies
- Digitalization, Law, and Regulation
- Evaluation Methods in Various Fields
- Network Security and Intrusion Detection
- earthquake and tectonic studies
- Advanced Computational Techniques and Applications
- Thermal Analysis in Power Transmission
- Underwater Vehicles and Communication Systems
- Energy Efficient Wireless Sensor Networks
- Water Quality Monitoring Technologies
- High voltage insulation and dielectric phenomena
- Advanced Measurement and Detection Methods
- Advanced Malware Detection Techniques
- Advanced Image and Video Retrieval Techniques
- Fire effects on ecosystems
- Advanced Neural Network Applications
- Human Pose and Action Recognition
- Smart Grid and Power Systems
Kun Shan University
2022-2025
Tsinghua–Berkeley Shenzhen Institute
2025
Tsinghua University
2025
Guangdong Medical College
2025
Maternal and Child Health Care Hospital of Bao'an
2025
Children's Hospital
2025
National Taiwan University
2023-2024
Nanjing Foreign Language School
2024
University of British Columbia
2017-2024
Fujian Normal University
2024
Neuron death is caused primarily by apoptosis after spinal cord injury (SCI). Autophagy, as a cellular response, can maintain homeostasis to reduce apoptosis. We aimed investigate the effect and mechanism of vimentin knockdown on autophagy neural recovery SCI.
Environmental monitoring is a practical application where wireless sensor network (WSN) may be utilized effectively. However, the energy consumption issues have become major concern in using WSN, particularly remote locations without readily accessible electrical power supply. In general, activities of data transmission among nodes and gateway (GW) can significant fraction total within WSN. Hence, reducing number duration transmissions as much possible while maintaining high level accuracy...
With rapid advancements in in-vehicle network (IVN) technology, the demand for multiple advanced functions and networking electric vehicles (EVs) has recently increased. To enable various intelligent functions, electrical system of existing incorporates a controller area (CAN) bus that enables communication among control units (ECUs). In practice, traditional network-based intrusion detection systems (NIDSs) cannot easily identify threats to CAN system. Therefore, it is necessary develop new...
In this article, the problem of cross-domain fault diagnosis rotating machinery is considered. a practical setting approach, operating platform machine may have different setup and conditions compared to experimental that used collect training data. This can lead significant data variations, specifically domain shifts. Conventional data-driven approaches are known adapt poorly these shifts, resulting in drop accuracy when pretrained model applied actual situation. an unsupervised adaptation...
An Internet of Things (IoT) platform with capabilities sensing, data processing, and wireless communication has been deployed to support remote aquatic environmental monitoring. In this paper, the design development an IoT multiple Mobile Sensor Nodes (MSN) for spatiotemporal quality evaluation surface water is presented. A survey planner proposed distribute Sampling Locations Interest (SLoIs) over study area generate paths MSNs visit SLoIs, given limited energy time budgets. The SLoIs are...
Power management is crucial in the monitoring of a remote environment, especially when long-term needed. Renewable energy sources such as solar and wind may be harvested to sustain system. However, without proper power management, equipment within system become nonfunctional and, consequence, data or events captured during process will inaccurate well. This paper develops applies novel adaptive sampling algorithm for automated quality water an extensive aquatic environment. Based on...
Ubiquitous presence of short extrachromosomal circular DNAs (eccDNAs) in eukaryotic cells has perplexed generations biologists. Their widespread origins the genome lacking apparent specificity led some studies to conclude their formation as random or near-random. Despite this, search for specific eccDNA continues with a recent surge interest biomarker development.To shed new light on conflicting views eccDNAs' randomness, here we present DeepCircle, bioinformatics framework incorporating...
This paper concerns the deployment problem of wireless sensor networks (WSNs) with mobile robotic nodes for spatiotemporal monitoring. The proposed approach, deep reinforced learning tree (DRLT), utilizes reinforcement (DRL) to improve efficiency searching most informative sampling locations. parameterized locations in an infinite horizon space are modeled according their correlations and subject various constraints, including field estimation error information gain. And model-based gain can...
The coasts around the South China Sea are highly populated and threatened by ubiquitous tsunamigenic structures of Manila trench-arc system. However, owing to limited historical records rare geological findings tsunamis, our comprehension preparation for regional tsunami risks far from sufficient. Located in NE Sea, Penghu Islands Taiwan's western offshore area selected a survey because their advantages lengthy coastlines abundant upper Holocene deposits. Three gravel layers marine incursion...
The rapid proliferation of ransomware variants necessitates more effective detection mechanisms, as traditional signature-based methods are increasingly inadequate. These conventional rely on manual feature extraction and matching, which time-consuming limited to known threats. This study addresses the escalating challenge threats in cybersecurity by proposing a novel deep learning model, LSTM-EDadver, leverages Generative Adversarial Networks (GANs) Carlini Wagner (CW) attacks enhance...
Abstract Eliminating mother-to-child transmission (EMTCT) of syphilis and Hepatitis B Virus (HBV) is crucial for preventing reducing new pediatric infections. Timely standardized EMTCT interventions maternal infections have been demonstrated to be highly cost-effective efficient. Regrettably, healthcare providers encountered challenges in delivering these due the complexity multi-department referrals. Baoan district Shenzhen, Guangdong province, where serves as one six national pilot tasked...
In order to solve the frequently occurring lightning flashover problems on ±500 kV dc transmission lines in China, authors have conducted research line arrester since 2011. this paper, structure and installation, technical parameters, protection performances, as well their deterministic processes of are presented analyzed detail. 2013, successfully developed products, type tests show that they excellent performance parameters can act effectively against impulse cutoff follow current. By now...
In order to investigate the different features of positive leader propagation in rod-plane and inverted gaps, discharge experiments a 3-m gap were carried out under switching impulse voltage. The process was recorded by using high-speed CCD camera. Some aspects describe characteristics gaps are obtained compared this paper, including critical corona radius, average continuous inception voltage, axial velocity, final jump length. possible reason resulting those differences is also discussed here.
With the explosive growth of data, traditional clustering algorithms running on separate servers can not meet demand. To solve problem, more and researchers implement cloud computing platforms, especially for K-means clustering. But, few pay attention to structure, most optimized model platform raise speed However problem instability caused by random initial centers still exists. In this paper, we propose a algorithm with based data dimensional density. This method avoids deficiency improves...
The overhead catenary system of high-speed railway, usually supported by viaducts, attracts more direct strikes than the conventional railway. However, there are ten thousands slender steel rods in reinforced concrete structure viaducts. Therefore, it takes a lot time to calculate model long series viaducts electromagnetic field modeling method. An transient for railway struck lightning based on decoupling method is proposed this paper, which divided into box girder unit and viaduct pier...
This paper addresses the problem of optimizing sensor deployment locations a wireless network to reconstruct and also predict spatiotemporal signal. Traditional optimization approaches only selects provide feature in sampled area. Hence, if sampling resources are limited, deployed sensors may not be able all features field interest (input space). To solve this issue, deep learning framework is developed entire signal from limited amount observations. In beginning, proposed approach optimizes...
The growing industrial and research interest in protecting privacy fighting cyberattacks for smart homes has sparked various innovations security- privacy-enhancing technologies (S/PETs) powered by edge computing. complex technical set-up however raised a whole series of legal issues surrounding the regulation home with data protection law. To determine how responsibility accountability should be fairly assumed stakeholders, there is pressing need to first clarify roles these parties within...