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- 2025
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Mark
DECIPHERING CUSTOMER SATISFACTION : A MACHINE LEARNING-ORIENTED METHOD USING AGGLOMERATIVE CLUSTERING FOR PREDICTIVE MODELING AND FEATURE SELECTION
- Contribution to journal › Article
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Mark
Enhancing streamflow drought prediction : integrating wavelet decomposition with deep learning and quantile regression neural network models
- Contribution to journal › Article
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Mark
A Reinforcement Learning-Based Proximal Policy Optimization Approach to Solve the Economic Dispatch Problem
- Contribution to journal › Article
-
Mark
Understanding drought related tree responses using deep learning approaches and satellite based proxy
- Contribution to journal › Article
-
Mark
A SegNet-Based Approach for Road Label Placement Integrating Geometric and Textual Information
- Contribution to journal › Article
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Mark
A Reinforcement Learning Approach Based on Group Relative Policy Optimization for Economic Dispatch in Smart Grids
- Contribution to journal › Article
- 2024
-
Mark
A feasibility study of applying generative deep learning models for map labeling
- Contribution to journal › Article
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Mark
ChatGeoAI: Enabling Geospatial Analysis for Public through Natural Language, with Large Language Models
- Contribution to journal › Article
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Mark
ENHANCING SUPPLY CHAIN RESILIENCE : RIME-CLUSTERING AND ENSEMBLE DEEP LEARNING STRATEGIES FOR LATE DELIVERY RISK PREDICTION
- Contribution to journal › Article
-
Mark
Optimizing Procurement Strategies for Diverse Product Segments : A Case Study in Pharmaceutical Supply Chain Management
- Contribution to journal › Article
