Intelligent video surveillance: a review through deep learning techniques for crowd analysis

G Sreenu, S Durai - Journal of Big Data, 2019 - Springer
Big data applications are consuming most of the space in industry and research area.
Among the widespread examples of big data, the role of video streams from CCTV cameras …

[HTML][HTML] A survey of applications of artificial intelligence and machine learning in future mobile networks-enabled systems

İ Yazici, I Shayea, J Din - … Science and Technology, an International Journal, 2023 - Elsevier
Different fields have been thriving with the advents in mobile communication systems in
recent years. These fields reap benefits of data collected by Internet of Things (IoT) in next …

Deep-learning-based short-term electricity load forecasting: A real case application

I Yazici, OF Beyca, D Delen - Engineering Applications of Artificial …, 2022 - Elsevier
The rising popularity of deep learning can largely be attributed to the big data phenomenon,
the surge in the development of new and novel deep neural network architectures, and the …

Deep learning model for Demolition Waste Prediction in a circular economy

LA Akanbi, AO Oyedele, LO Oyedele… - Journal of Cleaner …, 2020 - Elsevier
An essential requirement for a successful circular economy is the continuous use of
materials. Planning for building materials reuse at the end-of-life of buildings is usually a …

STDnet: Exploiting high resolution feature maps for small object detection

B Bosquet, M Mucientes, VM Brea - Engineering Applications of Artificial …, 2020 - Elsevier
The accuracy of small object detection with convolutional neural networks (ConvNets) lags
behind that of larger objects. This can be observed in popular contests like MS COCO. This …

Artificial intelligence for fish behavior recognition may unlock fishing gear selectivity

AS Abangan, D Kopp, R Faillettaz - Frontiers in Marine Science, 2023 - frontiersin.org
Through the advancement of observation systems, our vision has far extended its reach into
the world of fishes, and how they interact with fishing gears—breaking through physical …

Race recognition using deep convolutional neural networks

T Vo, T Nguyen, CT Le - Symmetry, 2018 - mdpi.com
Race recognition (RR), which has many applications such as in surveillance systems,
image/video understanding, analysis, etc., is a difficult problem to solve completely. To …

Impacts of AIOT implementation course on the learning outcomes of senior high school students

CC Tsai, YM Cheng, YS Tsai, SJ Lou - Education Sciences, 2021 - mdpi.com
In this study, experimental teaching was conducted through the artificial intelligence of
things (AIOT) practical course, and the 4D (discover, define, develop, deliver) double …

[Retracted] Impact of Activation, Optimization, and Regularization Methods on the Facial Expression Model Using CNN

IA Kandhro, M Uddin, S Hussain… - Computational …, 2022 - Wiley Online Library
When it comes to conveying sentiments and thoughts, facial expressions are quite effective.
For human‐computer collaboration, data‐driven animation, and communication between …

Digital game-based technology for English language learning in preschools and primary schools: A systematic analysis

CA Ongoro, YY Fanjiang - IEEE Transactions on Learning …, 2023 - ieeexplore.ieee.org
This article aims to provide a systematic review of existing research on the use of digital
game-based learning (DGBL) technology for foreign language (English) in preschool and …