Work

Machine Learning‐Based Parametrization of Gaseous Optical Properties and VANET Anomaly Detection for Accelerated Climate and Cyber‐Physical Simulations

Year: 2025

Type: article

Source: Transactions on Emerging Telecommunications Technologies

DOI: 10.1002/ett.70304

Authors: Abdul Razzaq, Qamar Atta Ul Haq, Muhammad Aziz Ur Rehman, Sharaiz Shahid, Muhammad Azam Zia, Faisal Mehmood, Afzaal Hussain, Hussain Dawood

Institutions: Muhammad Nawaz Shareef University of Agriculture, University of Agriculture Faisalabad, Shenzhen University, Government College University, Faisalabad

Language: English

Topic: Vehicular Ad Hoc Networks (VANETs)

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Climate action

Open Access status: closed

OpenAlex ID: W4417200914

FWCI:

Cites: 18

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