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09/10/2023
Computational Approaches for Predicting Drug-Disease Associations: A Comprehensive Review
In recent decades, traditional drug research and development have been f...
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08/28/2023
Deep Learning and Bayesian inference for Inverse Problems
Inverse problems arise anywhere we have indirect measurement. As, in gen...
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03/22/2023
Road Extraction with Satellite Images and Partial Road Maps
Road extraction is a process of automatically generating road maps mainl...
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10/24/2022
BARS: A Benchmark for Airport Runway Segmentation
Airport runway segmentation can effectively reduce the accident rate dur...
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08/07/2022
A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features
By coordinating terminal smart devices or microprocessors to engage in c...
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03/03/2021
Dynamic Offloading Design in Time-Varying Mobile Edge Networks with Deep Reinforcement Learning Approach
Mobile edge computing (MEC) is regarded as a promising wireless access a...
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06/25/2020
Multi-Agent Deep Reinforcement Learning for HVAC Control in Commercial Buildings
In commercial buildings, about 40 is attributed to Heating, Ventilation,...
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02/25/2020
A Node Embedding Framework for Integration of Similarity-based Drug Combination Prediction
Motivation: Drug combination is a sensible strategy for disease treatmen...
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02/21/2020
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia
We found that the real time reverse transcription-polymerase chain react...
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06/30/2017