Leveraging Deep Learning and IoT big data analytics to support the smart cities development: Review and future directions

SB Atitallah, M Driss, W Boulila, HB Ghézala - Computer Science Review, 2020 - Elsevier
The rapid growth of urban populations worldwide imposes new challenges on citizens' daily
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

Y Zhang, PJ Thorburn - Future Generation Computer Systems, 2022 - Elsevier
High-frequency water quality monitoring systems provide valuable measurements for
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

FO Catak, T Yue, S Ali - ACM Transactions on Software Engineering and …, 2022 - dl.acm.org
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 …

[HTML][HTML] Context-based image explanations for deep neural networks

S Anjomshoae, D Omeiza, L Jiang - Image and Vision Computing, 2021 - Elsevier
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 …

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 …

Deep reinforcement learning classification of brain tumors on MRI

J Stember, H Shalu - Innovation in Medicine and Healthcare: Proceedings …, 2022 - Springer
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 …

Semantic segmentation of dog's femur and acetabulum bones with deep transfer learning in x-ray images

DEM da Silva, V Filipe, P Franco-Gonçalo… - … on Intelligent Systems …, 2021 - Springer
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 …