A5031353058- Face and Expression Recognition
- Advanced Image and Video Retrieval Techniques
- Robotics and Sensor-Based Localization
- Advanced Algorithms and Applications
- Image Retrieval and Classification Techniques
- Advanced Vision and Imaging
- 3D Surveying and Cultural Heritage
- Neural Networks and Applications
- Machine Learning in Bioinformatics
- Remote-Sensing Image Classification
- Text and Document Classification Technologies
- Protein Structure and Dynamics
- Bioinformatics and Genomic Networks
- Metaheuristic Optimization Algorithms Research
- Video Analysis and Summarization
- Video Surveillance and Tracking Methods
- Traditional Chinese Medicine Studies
- Indoor and Outdoor Localization Technologies
- Computational Drug Discovery Methods
- Gene expression and cancer classification
- Remote Sensing and LiDAR Applications
- Gut microbiota and health
- Spectroscopy and Chemometric Analyses
- Robotic Path Planning Algorithms
- 3D Shape Modeling and Analysis
Guangzhou Urban Planning Survey & Design Institute
2023-2025
University of Missouri
2004-2024
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2021-2023
Wuhan University
2021-2023
Finnish Geospatial Research Institute
2023
Teesside University
2006-2022
Nanjing Agricultural University
2009-2022
University of Science and Technology of China
2003-2020
Shanghai Normal University
2009-2020
Harbin Engineering University
2017
Protein methylation is one type of reversible post-translational modifications (PTMs), which plays vital roles in many cellular processes such as transcription activity, DNA repair. Experimental identification sites on proteins without prior knowledge costly and time-consuming. In silico prediction might not only provide researches with information the candidate for further determination, but also facilitate to perform downstream characterizations site-specific investigations. present study,...
The ensemble-based feature selection method presents the merit of acquisition more informative and compact features than those obtained by individual methods.
The integration of building information model (BIM) with point cloud from 3-D laser scanner provides powerful assistance in a variety applications the life cycle building. However, adoption BIM and scanning for whole buildings has yet to be satisfactorily reviewed. There is need understand current situation their combined methods. authors summarized methods at first. Then. work presented this article summarization In addition, impact emerging technologies on also discussed. review, articles...
Lysine acetylation is a reversible post-translational modification (PTM) which has been linked to many biological and pathological implications. Hence, localization of lysine essential for deciphering the mechanism such Whereas acetylated lysines in human proteins have localized through experimental approaches wet lab, it still fails reach completion. In present study, we proposed novel feature extraction approach, bi-relative adapted binomial score Bayes (BRABSB), combined with support...
Peptide design, with the goal of identifying peptides possessing unique biological properties, stands as a crucial challenge in peptide-based drug discovery. While traditional and computational methods have made significant strides, they often encounter hurdles due to complexities costs laboratory experiments. Recent advancements deep learning Bayesian Optimization paved way for innovative research this domain. In context, our study presents novel approach that effectively combines protein...
The evolutionary algorithm has become a major method for neural architecture search recently. However, the fixed probability distribution employed by traditional may lead to structural complexity and redundancy due its inability control size of individual architectures, it cannot learn from empirical information gathered during process guide subsequent more effectively efficiently. Moreover, evaluating performance all searched architectures requires significant computing resources time...
Knowledge of the detailed structure a protein is crucial to our understanding biological functions that protein. The gap between number solved structures and sequences continues widen rapidly in post-genomics era due long expensive processes for solving experimentally. Computational prediction from amino acid sequence has come play key role narrowing been successful providing useful information research community. We have developed pipeline, PROSPECT-PSPP, an integration multiple...