Enhancing LSTM prediction of vehicle traffic flow data via outlier correlations

W Fitters, A Cuzzocrea… - 2021 IEEE 45th annual …, 2021 - ieeexplore.ieee.org
Accurate traffic flow prediction is an important tool to allow for more efficient use of traffic
networks. Current traffic flow prediction algorithms such as LSTM RNNs can be very …

Natural language processing to identify case factors in child protection court proceedings

B Coulthard, BJ Taylor - Methodological Innovations, 2022 - journals.sagepub.com
Social work case files hold rich detail about the lives and needs of vulnerable groups.
Traditional case-reading studies to gain generalisable knowledge are resource-intensive …

Evolving of Smart Banking with NLP and Deep Learning

B Dash, S Swayamsiddha, AI Ali - Enabling Technologies for Effective …, 2023 - Springer
The banking world is moving faster with digital reality, where financial transactions, customer
care, fraud prevention, and trading analysis are no longer handled by humans but by …

Development of Buffer Zone into Living Lab-Garuda Smart City Framework: Systematic Review

G Emmanuel, SH Supangkat, FL Gaol… - … Conference on ICT for …, 2023 - ieeexplore.ieee.org
The phenomenon of urbanization in Indonesia is inevitable. The new residential and
economic centers in suburban areas is also a problem in city development. The gradual …

Air quality classification in urban environment using machine learning approach

F Hamami, IA Dahlan - IOP Conference Series: Earth and …, 2022 - iopscience.iop.org
Air pollution comes from human activities that can threaten living things. It is affected by
gasses including PM 10, SO 2, CO, O 3, NO 2 and others. Air pollution leads to dangerous …

Pengukuran User Experience Platform Otomasi Proses berbasis Low Code Menggunakan UEQ

N Falih, SH Supangkat, FF Lubis, OM Prabowo - Jurnal Sistem Cerdas, 2023 - apic.id
This study analyzes the user experience of a Low Code-based Process Automation Platform
to enhance efficiency, productivity, and accuracy in business processes. In this study, an …

Garbage classification using convolutional neural network based transfer learning

F Hamami - AIP Conference Proceedings, 2023 - pubs.aip.org
Nowadays people's activities produce large and various kinds of garbage. Many people do
not realize that garbage can be a source of disease, environmental pollution and other …

A Simple AI-Powered Video Analytics Framework for Human Motion Imitation

S Tanberk, DB Tükel, M Uysal - 2020 Innovations in Intelligent …, 2020 - ieeexplore.ieee.org
In recent years, a great amount of video data is generated by surveillance cameras in cities
and industries, and social media, and internet sites. It seems that this trend will continue with …

[PDF][PDF] A Hybrid Approach for Moving Object Detection Using TV-L1 Features and RPCA--MOG.

S Dagar, G Nijhawan - International Journal of Intelligent Engineering & …, 2023 - inass.org
Robust Principal Component Analysis (RPCA) has recently been active everywhere for
dimension reduction in image processing, display and pattern recognition. Methods based …

Key Indicators for Effective Implementation of Smart City Standards in Indonesia During the Covid-19 Pandemic: A Case Study of Four Cities

TB Dulbert, MA Budi, AW Citra - Journal of Urban Culture …, 2024 - so04.tci-thaijo.org
Resources management owned by smart cities in Indonesia must be effective and efficient
because the concept of urban development is based on information technology principles …