Simon Fong
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View article: Deep learning in multi-modal breast cancer data fusion: a literature review
Deep learning in multi-modal breast cancer data fusion: a literature review Open
At present, although numerous deep learning-based multi-modal studies on breast cancer have been proposed, multi-modal fusion remains in the exploratory stage. Future research should focus on addressing the scarcity of high-quality public …
View article: FinSentLLM: Multi-LLM and Structured Semantic Signals for Enhanced Financial Sentiment Forecasting
FinSentLLM: Multi-LLM and Structured Semantic Signals for Enhanced Financial Sentiment Forecasting Open
Financial sentiment analysis (FSA) has attracted significant attention, and recent studies increasingly explore large language models (LLMs) for this field. Yet most work evaluates only classification metrics, leaving unclear whether senti…
View article: A Dynamic Global–Local Spatiotemporal Graph Framework for Multi-City PM2.5 Long-Term Forecasting
A Dynamic Global–Local Spatiotemporal Graph Framework for Multi-City PM2.5 Long-Term Forecasting Open
Accurate PM2.5 prediction is essential for effective urban air quality management. However, existing methods often struggle to capture the complex, nonlinear, and coupled spatiotemporal dynamics in long-term air pollution evolution. Most e…
View article: Recommendation of Learning Resources for <scp>MOOCs</scp> Based on Historical Sequential Behaviours
Recommendation of Learning Resources for <span>MOOCs</span> Based on Historical Sequential Behaviours Open
Learning path recommendation is crucial for guiding learners through a series of courses in a logical sequence based on their previous learning experiences. This is particularly important for improving learning outcomes in massive open onl…
View article: Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions
Application of Multiple Deep Learning Architectures for Emotion Classification Based on Facial Expressions Open
Facial expression recognition (FER) is essential for discerning human emotions and is applied extensively in big data analytics, healthcare, security, and user experience enhancement. This study presents a comprehensive evaluation of ten s…
View article: A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning
A Novel Improvement of Feature Selection for Dynamic Hand Gesture Identification Based on Double Machine Learning Open
Causal machine learning is an approach that combines causal inference and machine learning to understand and utilize causal relationships in data. In current research and applications, traditional machine learning and deep learning models …
View article: Enhancing bone radiology images classification through appropriate preprocessing: a deep learning and explainable artificial intelligence approach
Enhancing bone radiology images classification through appropriate preprocessing: a deep learning and explainable artificial intelligence approach Open
The novelty of this paper lies in its specific application of extended preprocessing techniques-namely, the removal of background and irrelevant parts-to medical images for improving the performance of deep learning models in classificatio…
View article: A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data Open
Ensemble technique and under-sampling technique are both effective tools used for imbalanced dataset classification problems. In this paper, a novel ensemble method combining the advantages of both ensemble learning for biasing classifiers…
View article: Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network Open
Air pollution (AP) poses a great threat to human health, and people are paying more attention than ever to its prediction. Accurate prediction of AP helps people to plan for their outdoor activities and aids protecting human health. In thi…
View article: Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM Approach Open
Timely and precise classification and segmentation of gastric bleeding in endoscopic imagery are pivotal for the rapid diagnosis and intervention of gastric complications, which is critical in life-saving medical procedures. Traditional me…
View article: Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways
Using statewide transportation planning model to forecast demand for electric vehicle charging at stations along intercity highways Open
The availability of charging stations (CSs) with adequate capacity is critical for the growth in ownership and usage of electric vehicles (EVs). In the United States, the state departments of transportation (DOTs) are responsible for plann…
View article: Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis
Multimodal Machine Learning for Prognosis and Survival Prediction in Renal Cell Carcinoma Patients: A Two-Stage Framework with Model Fusion and Interpretability Analysis Open
Current medical limitations in predicting cancer survival status and time necessitate advancements beyond traditional methods and physical indicators. This research introduces a novel two-stage prognostic framework for renal cell carcinoma…
View article: Analysis of Collaboration Effectiveness and Individuals’ Contribution in FLOSS Communities
Analysis of Collaboration Effectiveness and Individuals’ Contribution in FLOSS Communities Open
Free/Libre Open Source Software (FLOSS) development has proven itself over the years to be able to deliver high-quality software products. However, it is not clear how quality emerges from the large amount of loosely organised activities o…
View article: Nature-Inspired Optimization: Optimizing Distance of Emergency Response Wagons en Route to Railway Crossing Accident Location
Nature-Inspired Optimization: Optimizing Distance of Emergency Response Wagons en Route to Railway Crossing Accident Location Open
The problem is that when an accident occurs at a railway crossing, emergency response wagons are unable to get to the accident location on time. In this study, we consider the location of emergency response wagons and railway accident loca…
View article: Welcome Message DDP 2023
Welcome Message DDP 2023 Open
On behalf of the DDP 2023 conference, we welcome the attendees to participate in the Third edition of the International Conference on Digital Data Processing (DDP 2023), which is being held to discuss the new developments in data processin…
View article: Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case.
Exploring ChatGPT's Potential for Consultation, Recommendations and Report Diagnosis: Gastric Cancer and Gastroscopy Reports’ Case. Open
Artificial intelligence (AI) has shown its effectiveness in helping clinical users meet evolving challenges. Recently, ChatGPT, a newly launched AI chatbot with exceptional text comprehension capabilities, has triggered a global wave of AI…
View article: A review on multimodal machine learning in medical diagnostics
A review on multimodal machine learning in medical diagnostics Open
Nowadays, the increasing number of medical diagnostic data and clinical data provide more complementary references for doctors to make diagnosis to patients. For example, with medical data, such as electrocardiography (ECG), machine learni…
View article: All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing
All-People-Test-Based Methods for COVID-19 Infectious Disease Dynamics Simulation Model: Towards Citywide COVID Testing Open
The conversion rate between asymptomatic infections and reported/unreported symptomatic infections is a very sensitive parameter for model variables that spread COVID-19. This is important information for follow-up use in screening, predic…