Application of modbus double-layer communication network technology in intelligent management of urban traffic equipment

Z Hao, A Asadullah, S Wawale, S Das - International Journal of System …, 2022 - Springer
Nowadays intelligent management of urban traffic is the modern requirement due to
unlimited congestion and to improve transportation efficiency. To study the application of …

Application of UAV tilt photogrammetry in 3D modeling of ancient buildings

Q Guo, H Liu, FM Hassan, MW Bhatt… - International Journal of …, 2022 - Springer
The initiation of photogrammetry that arrived in late 90's permitted the 3D stereoscopic vision
for the acquirement of information. A number of methodologies were embraced by several …

Prediction of Floods in Kerala using Hybrid Model of CNN and LSTM

PK Pareek, C Srinivas, S Nayana… - … on Integrated Circuits …, 2023 - ieeexplore.ieee.org
Floods are a widespread natural calamity that have far-reaching effects on human society,
economics, and culture. Researchers have been hard at work for years on flood prediction …

Hybrid deep learning model based on Intelligent Microbat Routing (IMR) and Popularity Content Caching (PCC) for an effective caching and routing in vehicular edge …

SC Nelson, RK Singh, GL Prakash - Computers and Electrical Engineering, 2022 - Elsevier
Vehicular networks are considered as one of the paramount components of intelligent
transportation systems. With the help of new advanced technologies like Internet of things …

Detection of ischemic stroke tissue fate from the MRI images using a deep learning approach

NS Alotaibi, AS Alotaibi, M Eliazer… - Mobile Information …, 2022 - Wiley Online Library
The ability to determine infarction thickness using magnetic resonance perfusion modulated
imaging (PWI) should assist physicians to decide how vigorously to treat severe stroke …

A Cascaded transition recurrent feature network (CTRFN) based Paramount Transfer learning (PTL) model for traffic congestion prediction

K Balasubramani, U Natarajan - Expert Systems with Applications, 2024 - Elsevier
Congestion in large and growing cities is a significant issue that harms the economy,
travelers, and the ecosystem. Forecasting the degree of congestion on a road network in …

Smart city traffic management for reducing congestion

JA Zubairi, S Idwan, SA Haider… - 2022 IEEE 19th …, 2022 - ieeexplore.ieee.org
Traffic congestion is a major issue in urban city centers where lot of time and fuel is wasted
on congested streets. Destination based routing by GPS and navigation apps allow …

Federated learning model for healthchain system

R Durga, E Poovammal - 2021 6th IEEE International …, 2021 - ieeexplore.ieee.org
Global pandemic has emphasized the need for healthcare information processing
capabilities even while pushing data privacy, openness, and consent to the forefront. The …

Real time traffic prediction based on social media text data using deep learning

B Mounica, K Lavanya - Journal of Mobile Multimedia, 2022 - journals.riverpublishers.com
Due to urbanization Traffic management is one of the major issues in contemporary civic
management, considering this circumstance traffic analysis is turning into the need of the …

Congestion and Accident Alerts Using Cloud Load Balancing & Random Forest in VANET

S Singh, SK Verma - Wireless Personal Communications, 2023 - Springer
The traffic forecast system is critical in intelligent transportation system. Vehicular Ad-hoc
Networks will play a significant role in future intelligent transportation system (VANET). On …