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Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
lives, including environmental pollution, public security, road congestion, etc. New …
lives, including environmental pollution, public security, road congestion, etc. New …
[HTML][HTML] Handling missing data in near real-time environmental monitoring: A system and a review of selected methods
High-frequency water quality monitoring systems provide valuable measurements for
predicting the trend of water quality, warning of abnormal activities or operating hydrological …
predicting the trend of water quality, warning of abnormal activities or operating hydrological …
Uncertainty-aware prediction validator in deep learning models for cyber-physical system data
The use of Deep learning in Cyber-Physical Systems (CPSs) is gaining popularity due to its
ability to bring intelligence to CPS behaviors. However, both CPSs and deep learning have …
ability to bring intelligence to CPS behaviors. However, both CPSs and deep learning have …
[HTML][HTML] Context-based image explanations for deep neural networks
With the increased use of machine learning in decision-making scenarios, there has been a
growing interest in explaining and understanding the outcomes of machine learning models …
growing interest in explaining and understanding the outcomes of machine learning models …
ALGORITHMIC COLLUSION
A Mazumdar - Columbia Law Review, 2022 - JSTOR
Although antitrust scrutiny of “big tech” companies has increased drastically over the past
decade, much of the national debate has concerned issues of monopolization and the …
decade, much of the national debate has concerned issues of monopolization and the …
Deep reinforcement learning classification of brain tumors on MRI
We have recently shown that deep reinforcement learning can achieve high accuracy for
lesion localization and segmentation even with minuscule training sets. Here, we introduce …
lesion localization and segmentation even with minuscule training sets. Here, we introduce …
Semantic segmentation of dog's femur and acetabulum bones with deep transfer learning in x-ray images
Hip dysplasia is a genetic disease that causes the laxity of the hip joint and is one of the
most common skeletal diseases found in dogs. Diagnosis is performed through an X-ray …
most common skeletal diseases found in dogs. Diagnosis is performed through an X-ray …