Remote Vehicle Exhaust Detection Based on Integrated Deep Learning Models for Environmental Monitoring
The traditional equipment for tailpipe emission monitoring basically adopts the static fixed-point detection mode. Not only does this detection mode fail to ensure accurate analysis of vehicle exhaust emissions during dynamic operation, but its measurement results are also susceptible to interferenc...
الحاوية / القاعدة: | Journal of Network Intelligence |
---|---|
المؤلف الرئيسي: | 2-s2.0-85219389947 |
التنسيق: | مقال |
اللغة: | English |
منشور في: |
Taiwan Ubiquitous Information CO LTD
2025
|
الوصول للمادة أونلاين: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85219389947&partnerID=40&md5=921691be732cb284c461dcf19932b434 |
مواد مشابهة
-
Object detection for autonomous vehicle with Lidar using deep learning
بواسطة: 2-s2.0-85098280266
منشور في: (2020) -
Review of environmental monitoring in freshwater lakes using geospatial techniques (remote sensing and GIS)
بواسطة: Kamaruzzaman, وآخرون
منشور في: (2025) -
Review of environmental monitoring in freshwater lakes using geospatial techniques (remote sensing and GIS)
بواسطة: Kamaruzzaman K.; Salleh S.A.; Pardi F.; Abdullah M.F.; Foronda V.; Bergonio E.L.; Rahmawaty R.
منشور في: (2025) -
Thermoelectric power generations from vehicle exhaust gas with TiO2 nanofluid cooling
بواسطة: 2-s2.0-85085129681
منشور في: (2020) -
Vehicle detection and tracking using YOLO and DeepSORT
بواسطة: 2-s2.0-85107642947
منشور في: (2021)