https://github.com/yinpuli/water-quality-prediction
공식 코드Beyond Tides and Time: Machine Learning Triumph in Water Quality
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Beyond Tides and Time: Machine Learning Triumph in Water Quality
Safety Analysis in the Era of Large Language Models: A Case Study of STPA using ChatGPT
StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Deep Learning for Trajectory Data Management and Mining: A Survey and Beyond
Individualized Risk Assessment of Preoperative Opioid Use by Interpretable Neural Network Regression
How Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior
MAS4POI: a Multi-Agents Collaboration System for Next POI Recommendation
Non-autoregressive Text Editing with Copy-aware Latent Alignments
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction
InvAgent: A Large Language Model based Multi-Agent System for Inventory Management in Supply Chains
Graph Neural Networks for Quantifying Compatibility Mechanisms in Traditional Chinese Medicine
Semantic-Fused Multi-Granularity Cross-City Traffic Prediction
Discriminative Semantic Feature Pyramid Network with Guided Anchoring for Logo Detection
GenFormer: A Deep-Learning-Based Approach for Generating Multivariate Stochastic Processes
ExEBench: Benchmarking Foundation Models on Extreme Earth Events
Predicting Fatigue Crack Growth via Path Slicing and Re-Weighting
On Inferring User Socioeconomic Status with Mobility Records
Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
An Empirical Study of Challenges in Machine Learning Asset Management
Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Graph Representation Learning for Contention and Interference Management in Wireless Networks
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications
Data Management For Training Large Language Models: A Survey
A Real-Time Wrong-Way Vehicle Detection Based on YOLO and Centroid Tracking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.