Jiaming Li

发表

A Model to Enhance Governance Issues through Opinion Extraction

Talha Mahboob Alam, K. Shaukat, I. Hameed, 2020, 2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON).

Liver Segmentation from CT Image Using Fuzzy Clustering and Level Set

Suhuai Luo, Jiaming Li, S. Luo, 2013 .

A Smart Fridge with an Ability to Enhance Health and Enable Better Nutrition

Jesse S. Jin, Suhuai Luo, Csiro Ict, 2009 .

Intelligent Refrigerator with Monitoring Capability through Internet

Jesse S. Jin, S. Luo, G. Poulton, 2017 .

A comprehensive dataset for bibliometric analysis of SARS and coronavirus impact on social sciences

Talha Mahboob Alam, K. Shaukat, I. Hameed, 2020, Data in brief.

A Review of Time-Series Anomaly Detection Techniques: A Step to Future Perspectives

Ibrahim A. Hameed, Suhuai Luo, Kamran Shaukat, 2021 .

Automatic Prediction of the Conversion of Clinically Isolated Syndrome to Multiple Sclerosis Using Deep Learning

Suhuai Luo, H. M. Rehan Afzal, Saadallah Ramadan, 2018, ICVIP.

Automatic liver segmentation from CT images by combining statistical models with machine learning

Suhuai Luo, Jiaming Li, S. Luo, 2015 .

A Novel Level Set Segmentation Algorithm for Computer-Aided Hepatic Surgical Planning

Suhuai Luo, Jiaming Li, Nuseiba M. Altarawneh, 2017 .

Automatic and Robust Segmentation of Multiple Sclerosis Lesions with Convolutional Neural Networks

Jeannette Lechner-Scott, Suhuai Luo, Jiaming Li, 2020, Computers, Materials & Continua.

Automatic Alzheimer’s Disease Recognition from MRI Data Using Deep Learning Method

Suhuai Luo, Jiaming Li, Xuechen Li, 2017 .

Performance Comparison and Current Challenges of Using Machine Learning Techniques in Cybersecurity

Dongxi Liu, Vijay Varadharajan, Ibrahim A. Hameed, 2020, Energies.

An Investigation of Credit Card Default Prediction in the Imbalanced Datasets

Matloob Khushi, Ibrahim A. Hameed, Suhuai Luo, 2020, IEEE Access.

Review on the methods of automatic liver segmentation from abdominal images

Suhuai Luo, Jiaming Li, Xuechen Li, 2014 .

Multiple Kernel-Based Multimedia Fusion for Automated Event Detection from Tweets

Suhuai Luo, Samar M. Alqhtani, Jiaming Li, 2018, Machine Learning - Advanced Techniques and Emerging Applications.

Automatic Lung Field Segmentation in X-ray Radiographs Using Statistical Shape and Appearance Models

Qingmao Hu, Suhuai Luo, Jiaming Li, 2016 .

An Approach of Household Power Appliance Monitoring Based on Machine Learning

Suhuai Luo, Jiaming Li, Lei Jiang, 2012, 2012 Fifth International Conference on Intelligent Computation Technology and Automation.

Automatic power load event detection and appliance classification based on power harmonic features in nonintrusive appliance load monitoring

Suhuai Luo, Jiaming Li, Lei Jiang, 2013, 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA).

Power Load Event Detection and Classification Based on Edge Symbol Analysis and Support Vector Machine

Lei Jiang, Glenn Platt, Suhuai Luo, 2012, Appl. Comput. Intell. Soft Comput..

Nonrigid Object Modelling and Visualization for Hepatic Surgery Planning in e-Health

Suhuai Luo, Jiaming Li, S. Luo, 2013, MMM.

Intelligent tuna recognition for fisheries monitoring

Changming Sun, Suhuai Luo, Dadong Wang, 2015, 2015 12th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP).

Accurate object segmentation using novel active shape and appearance models based on support vector machine learning

Suhuai Luo, Jiaming Li, S. Luo, 2014, 2014 International Conference on Audio, Language and Image Processing.

Improvement of Liver Segmentation by Combining High Order Statistical Texture Features with Anatomical Structural Features

Suhuai Luo, Jiaming Li, Xuechen Li, 2013 .

Automatic liver parenchyma segmentation from abdominal CT images using support vector machines

Xiangjian He, Mira Park, Qingmao Hu, 2009, 2009 ICME International Conference on Complex Medical Engineering.

Event on demand with MPEG-21 video adaptation system

Bu-Sung Lee, Min Xu, Liang-Tien Chia, 2006, MM '06.

Sensor Data Fusion for Accurate Cloud Presence Prediction Using Dempster-Shafer Evidence Theory

Jesse S. Jin, Suhuai Luo, Jiaming Li, 2010, Sensors.

Light-Weight Recurrent Deep Learning Algorithm for Non-Intrusive Load Monitoring

Suhuai Luo, Jiaming Li, Mohammad Mobasher-Kashani, 2019, 2019 IEEE 2nd International Conference on Electronic Information and Communication Technology (ICEICT).