A5031318875- Service-Oriented Architecture and Web Services
- Cloud Computing and Resource Management
- Online Learning and Analytics
- IoT and Edge/Fog Computing
- Business Process Modeling and Analysis
- Semantic Web and Ontologies
- Traffic Prediction and Management Techniques
- Cloud Data Security Solutions
- Recommender Systems and Techniques
- Cryptography and Data Security
- Blockchain Technology Applications and Security
- Privacy-Preserving Technologies in Data
- Neural Networks and Applications
- Energy Load and Power Forecasting
- Innovative Teaching and Learning Methods
- Bioinformatics and Genomic Networks
- Topic Modeling
- Big Data and Business Intelligence
- Semiconductor Quantum Structures and Devices
- Distributed and Parallel Computing Systems
- Image and Signal Denoising Methods
- Network Security and Intrusion Detection
- Advanced Software Engineering Methodologies
- Phase Equilibria and Thermodynamics
- Software System Performance and Reliability
University of Wollongong
2016-2025
University of California, Los Angeles
2024-2025
Hebei University
2005-2025
Shanghai University of Traditional Chinese Medicine
2024
Shanghai Guanghua Hospital of Integrated Traditional Chinese and Western Medicine
2023-2024
Hubei University of Medicine
2024
Jinan University
2017-2024
Shanghai University of Engineering Science
2021-2024
Chongqing Institute of Green and Intelligent Technology
2013-2024
Beijing Institute of Technology
2021-2024
With the rapid development of cloud computing, storage has been accepted by an increasing number organizations and individuals, therein serving as a convenient on-demand outsourcing application. However, upon losing local control data, it becomes urgent need for users to verify whether service providers have stored their data securely. Hence, many researchers devoted themselves design auditing protocols directed at outsourced data. In this paper, we propose efficient public protocol with...
With recent advances in mobile learning (m-learning), it is becoming possible for activities to occur everywhere. The learner model presented our earlier work was partitioned into smaller elements the form of profiles, which collectively represent entire process. This paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) delivering adapted content learners. ANFIS designed using trial and error based on various experiments. study conducted illustrate that effective with hybrid...
In recent years, machine learning-based cyber intrusion detection methods have gained increasing popularity. The number and complexity of new attacks continue to rise; therefore, effective intelligent solutions are necessary. Unsupervised learning techniques particularly appealing systems since they can detect known unknown types as well zero-day attacks. the current paper, we present an unsupervised anomaly method, which combines Sub-Space Clustering (SSC) One Class Support Vector Machine...
The Corona Virus Disease 2019 has a great impact on public health and psychology. People stay at home for long time rarely go out. With the improvement of epidemic situation, people began to different places check in. To maintain mental health, it is necessary propose point-of-interest (POI) prediction model which can mine users' interests. However, current techniques suffer from lower precision during practical value poor, due sparse data check-in. Faced with this challenge, we an...
Cyber attacks and intrusions have become the major obstacles to adoption of Industrial Internet Things (IIoT) in critical industries. Imbalanced data distribution is a common problem IIoT environments that negatively influence machine learning-based intrusion detection systems (IDSs). To address this issue, we introduce EvolCostDeep, hybrid model stacked autoencoders (SAE) convolutional neural networks (CNNs) with new cost-dependent loss function. The function aims optimize model's...
Development of potent and broad-spectrum antimicrobial peptides (AMPs) could help overcome the resistance crisis. We develop a peptide language-based deep generative framework (deepAMP) for identifying potent, AMPs. Using deepAMP to reduce enhance membrane-disrupting abilities AMPs, we identify, synthesize, experimentally test 18 T1-AMP (Tier 1) 11 T2-AMP 2) candidates in two-round design by employing cross-optimization-validation. More than 90% designed AMPs show better inhibition...
The metaverse, along with its various Web 3.0 sub-domains, represents a ground-breaking extension of the physical and digital worlds. In this emerging landscape, real virtual worlds are being integrated in ways that facilitate interaction create immersive experiences. This transformation has significant implications for diverse fields, particularly reshaping both online traditional education methods. By analyzing 417 comprehensive white papers released 2022 2023 from leading consulting firms...
A structure based on a bipolar transport/emitting layer is proposed and implemented for making organic light-emitting diodes. Compared to the conventional heterojunction diodes, more than factor of six improvement in device reliability (a projected operating lifetime 70 000 h) achieved structure. The significant attributed elimination heterointerface present devices which greatly affects reliability.
Radio frequency identification (RFID) is expected to become pervasive and ubiquitous, as it can be embedded into everyday items smart labels. A typical scenario of exploiting RFID supply chain. The based chain management yields convenience, efficiency productivity gains. However, systems create new risks security privacy. We briefly present the current solutions approach then proposed, which exploits randomized read access control thus prevents hostile tracking man-in-the-middle attack. In...
Mobile learning in massive open online course (MOOC) evidently differs from its traditional ways as it relies more on collaborations and becomes fragmented. We present a cloud-based virtual environment (VLE) which can organize learners into better teamwork context customize micro resources order to meet personal demands real time. Particularly, smart was built by newly designed Software Service (SaaS), namely Micro Learning (MLaaS). It aims provide adaptive contents well path identifications...