A systematic review of object detection from images using deep learning

J Kaur, W Singh - Multimedia Tools and Applications, 2024 - Springer
The development of object detection has led to huge improvements in human interaction
systems. Object detection is a challenging task because it involves many parameters …

A deep learning model for predicting river flood depth and extent

H Hosseiny - Environmental Modelling & Software, 2021 - Elsevier
This paper presents an innovative deep learning (DL) framework to (a) automatically identify
river geometry and flood extent, and (b) predict river flooding depth. To do that, U-Net, an …

[HTML][HTML] Mel Spectrogram-based advanced deep temporal clustering model with unsupervised data for fault diagnosis

G Hong, D Suh - Expert Systems with Applications, 2023 - Elsevier
Fault diagnosis of mechanical equipment using data-driven machine learning methods has
been developed recently as a promising technique for improving the reliability of industrial …

Mapping allochemical limestone formations in Hazara, Pakistan using google cloud architecture: application of machine-learning algorithms on multispectral data

MFA Khan, K Muhammad, S Bashir, S Ud Din… - … International Journal of …, 2021 - mdpi.com
Low-resolution Geological Survey of Pakistan (GSP) maps surrounding the region of interest
show oolitic and fossiliferous limestone occurrences correspondingly in Samanasuk …

Unveiling the frontiers of deep learning: innovations shaping diverse domains

SF Ahmed, MSB Alam, M Kabir, S Afrin, SJ Rafa… - arXiv preprint arXiv …, 2023 - arxiv.org
Deep learning (DL) enables the development of computer models that are capable of
learning, visualizing, optimizing, refining, and predicting data. In recent years, DL has been …

Cultural creativity, industrial scale, management methods, and their roles in rural revitalization from the perspective of big data

Y Huang, W Wang - Mathematical Problems in Engineering, 2022 - Wiley Online Library
Rural revitalization, as a significant element of the national economy, has become a hot
topic at present. The development of digital economies makes big data play become more …

Deep convolutional neural network-based transfer learning method for health condition identification of cable in cable-stayed bridge

T Viet-Linh - Journal of Materials and Engineering Structures « …, 2023 - revue.ummto.dz
The cables are extremely important and vulnerable components in the cable-stayed bridges.
Because cable tension is one of the most crucial structural health indicators, therefore …

[PDF][PDF] Finger Type Classification with Deep Convolution Neural Networks.

YA Al-Wajih, WM Hamanah, MA Abido, F Al-Sunni… - ICINCO, 2022 - scitepress.org
1Control and Instrumentation Engineering Department at KFUPM, Dhahran, 31261, Saudi
Arabia 2Interdisciplinary Research Center in Renewable Energy and Power Systems (IRC …

Analysis and review of the possibility of using the generative model as a compression technique in DNA data storage: review and future research agenda.

MR Muttaqin, Y Herdiyeni, A Buono… - … of Advances in …, 2023 - search.ebscohost.com
The amount of data in this world is getting higher, and overwriting technology also has
severe challenges. Data growth is expected to grow to 175 ZB by 2025. Data storage …

[PDF][PDF] Review on Automobile Crime Prediction Model

T Moses, HE Obi - International Journal of Darshan Institute on …, 2022 - researchgate.net
Misconduct and crime of all sorts are the popular problems that bother humanity in general.
This research work seeks to review and suggest the best solution to this problem. From this …