Missing traffic data imputation for artificial intelligence in intelligent transportation systems: review of methods, limitations, and challenges

RKC Chan, JMY Lim, R Parthiban - IEEE Access, 2023 - ieeexplore.ieee.org
Missing data in Intelligent Transportation Systems (ITS) could lead to possible errors in the
analyses of traffic data. Applying Artificial Intelligence (AI) in these circumstances can …

A survey on the network models applied in the industrial network optimization

C Dong, X Xiong, Q Xue, Z Zhang, K Niu… - Science China …, 2024 - Springer
Network architecture design is critical for optimizing industrial networks. Network
architectures can be classified into small-scale networks and large-scale networks based on …

Ensemble Learning Traffic Model for Sofia: A Case Study

D Brezov, A Burov - Applied Sciences, 2023 - mdpi.com
Featured Application Optimizing urban traffic/logistics; estimating pollution due to
combustion engines; studying the relation between urban pollution and respiratory …

Analysis of image security by triple DES

SR Peram, M Neeraj, BA Kumar - Materials Today: Proceedings, 2022 - Elsevier
We all know that in this growing world digital services usage has become more, the digital
services are like communication over the internet, medical field, military imaging systems …

BDT: An Ada Boost Classifier Ensemble with Decision Tree for Traffic Network Prediction

N Deeban, PS Bharathi - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
The identification of network traffic is now one of the most active study areas in the areas of
network management and network security. Machine learning is a key technology that is …

Vehicle count prediction using machine learning

SR Peram, MS Lekha, KSS Jyothsna, KL Pallavi… - Materials Today …, 2022 - Elsevier
In this research, we provide a regression-based technique for counting and classifying
freeway traffic. This technique does not need the normal division and monitoring of personal …

[PDF][PDF] INFORME DE SIMILITUD

CME KARINA - 2024 - repositorio.unsa.edu.pe
La presente investigación tiene como objetivo diseñar un Programa de Seguridad Basada
en el Comportamiento para mejorar el clima de seguridad en el entorno laboral en contexto …

[PDF][PDF] DSTCB: Traffic Predictive Analysis via Dynamic Spatio-Temporal Convolutional Blocks with Recurrent Network

R Sarala - management - researchgate.net
In today's rapidly urbanizing world, managing urban traffic congestion has become an
intricate challenge with profound implications for productivity, environment, and quality of life …