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08/11/2023
Deep learning-based flow disaggregation for hydropower plant management
High temporal resolution data is a vital resource for hydropower plant m...
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07/26/2023
Dynamic Grouping for Climate Change Negotiation: Facilitating Cooperation and Balancing Interests through Effective Strategies
In this paper, we propose a dynamic grouping negotiation model for clima...
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07/09/2023
Understanding Persistent-Memory Related Issues in the Linux Kernel
Persistent memory (PM) technologies have inspired a wide range of PM-bas...
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02/02/2023
Provably Robust Semi-Infinite Program Under Collision Constraints via Subdivision
We present a semi-infinite program (SIP) solver for trajectory optimizat...
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08/17/2022
DPA-1: Pretraining of Attention-based Deep Potential Model for Molecular Simulation
Machine learning assisted modeling of the inter-atomic potential energy ...
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07/31/2021
Planning of Power Grasps Using Infinite Program Under Complementary Constraints
We propose an optimization-based approach to plan power grasps. Central ...
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05/06/2020
On Failure Diagnosis of the Storage Stack
Diagnosing storage system failures is challenging even for professionals...
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11/09/2018
Exploiting Capacity of Sewer System Using Unsupervised Learning Algorithms Combined with Dimensionality Reduction
Exploiting capacity of sewer system using decentralized control is a cos...
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11/09/2018
Enhancing Operation of a Sewage Pumping Station for Inter Catchment Wastewater Transfer by Using Deep Learning and Hydraulic Model
This paper presents a novel Inter Catchment Wastewater Transfer (ICWT) m...
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11/09/2018
DeepCSO: Forecasting of Combined Sewer Overflow at a Citywide Level using Multi-task Deep Learning
Combined Sewer Overflow (CSO) is a major problem to be addressed by many...
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07/09/2017
Deep Learning for Real Time Crime Forecasting
Accurate real time crime prediction is a fundamental issue for public sa...
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02/03/2014