Blar i NTNU Open på forfatter "Wang, Hao"
-
Hierarchical denoising representation disentanglement and dual-channel cross-modal-context interaction for multimodal sentiment analysis
Li, Zuhe; Huang, Zhenwei; Pan, Yushan; Yu, Jun; Liu, Weihua; Chen, Haoran; Luo, Yiming; Wu, Di; Wang, Hao (Peer reviewed; Journal article, 2024)Multimodal sentiment analysis aims to extract sentiment cues from various modalities, such as textual, acoustic, and visual data, and manipulate them to determine the inherent sentiment polarity in the data. Despite ... -
HUCDO: A Hybrid User-Centric Data Outsourcing Scheme.
Huang, Ke; Zhang, Xiaosong; Wang, Xiaofeng; Mu, Yi; REZAEIBAGHA, FATEMEH; Xu, Guangquan; Wang, Hao; Zheng, Xi (Peer reviewed; Journal article, 2020)Outsourcing helps relocate data from the cyber-physical system (CPS) for efficient storage at low cost. Current server-based outsourcing mainly focuses on the benefits of servers. This cannot attract users well, as their ... -
Impact of outcome-based education on software engineering teaching: A case study
Dai, Hong-Ning; Wei, Wei; Wang, Hao; Wong, Tak-Lam (Chapter, 2017)This paper investigates the impact of outcome- based education (OBE) on students' learning achievement from a software engineering (SE) program. It is not easy to transform an SE curriculum from traditional knowledge-based ... -
The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection
Mulliqi, Nita; Yildirim Yayilgan, Sule; Mohammed, Ahmed Kedir; Ahmedi, Lule; Wang, Hao; Elezaj, Ogerta; Hovde, Øistein (Chapter, 2020)Accurate polyp detection during the colonoscopy procedure impacts colorectal cancer prevention and early detection. In this paper, we investigate the influence of skip connections as the main component of encoder-decoder ... -
Intrusion Detection Based on Parallel Intelligent Optimization Feature Extraction and Distributed Fuzzy Clustering in WSNs
Liu, Zhouzhou; Wei, Wei; Wang, Hao; Zhang, Yangmei; Zhang, Qianyun; Li, Shining (Journal article; Peer reviewed, 2018)Aiming at large-scale, high dimensional data, and variable intrusion behavior in wireless sensor networks (WSNs), an intrusion detection algorithm based on parallel intelligent optimization feature extraction and distributed ... -
An intrusion detection method for industrial control systems based on bidirectional simple recurrent unit
Ling, Jie; Zhu, Zhishen; Luo, Yu; Wang, Hao (Peer reviewed; Journal article, 2021)With the development of computer and network technologies, the original security of industrial control systems (ICSs) has been compromised, and security issues have become increasingly prominent. Effective intrusion detection ... -
Large scale integration of wireless sensor network technologies for air quality monitoring at a logistics shipping base
Molka-Danielsen, Judith; Engelseth, Per; Wang, Hao (Journal article; Peer reviewed, 2018)The future of logistics shipping bases will be to seek efficient flows of materials to meet the needs of business partners. Supply chain and operations managers of supply bases will need to integrate technologies that allow ... -
Learning the Distribution-Based Temporal Knowledge With Low Rank Response Reasoning for UAV Visual Tracking
Xu, Guoxia; Wang, Hao; Zhao, Meng; Pedersen, Marius; Zhu, Hu (Peer reviewed; Journal article, 2022)In recent years, the constraint based correlation filter has shown good performance in unmanned aerial vehicle (UAV) tracking, which gains a lot popularity in many intelligence transportation applications. In this work, a ... -
Learning the Morphological and Syntactic Grammars for Named Entity Recognition
Sun, Mengtao; Yang, Qiang; Wang, Hao; Pasquine, Mark; Hameed, Ibrahim A. (Journal article; Peer reviewed, 2022)In some languages, Named Entity Recognition (NER) is severely hindered by complex linguistic structures, such as inflection, that will confuse the data-driven models when perceiving the word’s actual meaning. This work ... -
Lightweight Convolution Neural Networks for Mobile Edge Computing in Transportation Cyber Physical Systems
Zhou, Junhao; Dai, Hong-Ning; Wang, Hao (Peer reviewed; Journal article, 2019)Cloud computing extends Transportation Cyber-Physical Systems (T-CPS) with provision of enhanced computing and storage capability via offloading computing tasks to remote cloud servers. However, cloud computing cannot ... -
Link Connectivity and Coverage of Underwater Cognitive Acoustic Networks under Spectrum Constraint
Wang, Qiu; Dai, Hong-Ning; Cheang, Chak Fong; Wang, Hao (Journal article; Peer reviewed, 2017)Extensive attention has been given to the use of cognitive radio technology in underwater acoustic networks since the acoustic spectrum became scarce due to the proliferation of human aquatic activities. Most of the recent ... -
LoC – A new financial loan management system based on smart contracts
Wang, Hao; Guo, Chaonian; Cheng, Shuhan (Journal article; Peer reviewed, 2019)Current financial loan management systems are usually deployed in a single-service mode, also the transactions are not transparent and traceable to most of the roles participating in the process. Their data privacy protection ... -
Machine Translation in Low-Resource Languages by an Adversarial Neural Network
Sun, Mengtao; Wang, Hao; Pasquine, Mark; Abdelfattah Abdelhameed, Ibrahim (Peer reviewed; Journal article, 2021)Existing Sequence-to-Sequence (Seq2Seq) Neural Machine Translation (NMT) shows strong capability with High-Resource Languages (HRLs). However, this approach poses serious challenges when processing Low-Resource Languages ... -
Measuring Container Port Complementarity and Substitutability with Automatic Identification System (AIS) Data – Studying the Inter-port Relationships in the Oslo Fjord Multi-port Gateway Region
Schøyen, Halvor; Hjelmervik, Karina Bakkeløkken; Wang, Hao; Osen, Ottar (Journal article; Peer reviewed, 2017)This paper considers the degree of competition among small and medium-sized container ports located in a multi-port gateway region. The level of port competition is evaluated by means of an analysis of the revealed preferences ... -
Metabolic characterization of breast cancer for improved precision medicine
Debik, Julia Barbara (Doctoral theses at NTNU;2021:70, Doctoral thesis, 2021)Brystkreft er kreftformen som rammer flest kvinner, 1 av 12 kvinner vil bli diagnostisert med brystkreft før fylte 75 år i Norge, og forekomsten fortsetter å øke. Det er en heterogen og kompleks sykdom, pasienter med lik ... -
MHDT: A Deep-Learning-Based Text Detection Algorithm for Unstructured Data in Banking
Ma, Shenglan; Yang, Lingling; Wang, Hao; Xiao, Hong; Dai, Hong-Ning; Cheng, Shuhan; Wang, Tongsen (Chapter, 2019)Text detection in natural scene images becomes highly demanded for unstructured data in banking. In this paper, we propose a new deep learning algorithm called MSER, Hu-moment and Deep learning for Text detection (MHDT) ... -
MSS-WISN: Multiscale Multistaining WBCs Instance Segmentation Network
Zhao, Meng; Yang, Hongxia; Shi, Fan; Zhang, Xinpeng; Zhang, Yao; Sun, Xuguo; Wang, Hao (Journal article; Peer reviewed, 2022) -
Multi-Parameter Performance Modeling Based on Machine Learning with Basic Block Features
Hao, Meng; Zhang, Weizhe; Wang, Yiming; Li, Dong; Xia, Wen; Wang, Hao; Lou, Chen (Chapter, 2020)Considering the increasing complexity and scale of HPC architecture and software, the performance modeling of parallel applications on large-scale HPC platforms has become increasingly important. It plays an important role ... -
Multi-Scale Feature Pair Based R-CNN Method for Defect Detection
Huang, Zihao; Xiao, Hong; Zhang, Rongyue; Wang, Hao; Zhang, Cheng; Shi, Xiucong (Chapter, 2019)The traditional defect detection algorithms based on image registration, image contrast and other image processing algorithms are only limited to a single defect. Though deep-learning-based object detection algorithms can ... -
Neural-network-based modelling and analysis for time series prediction of ship motion
Li, Guoyuan; Kawan, Bikram; Wang, Hao; Zhang, Houxiang (Journal article, 2017)This paper presents a data-driven model for time series prediction of ship motion. Prediction based on past time series of data is a powerful function in modern ship support systems. For a large amount of ship sensor data, ...