Results 181 to 190 of about 38,248 (315)

Passenger Surveillance Using Deep Learning in Post-COVID-19 Intelligent Transportation System. [PDF]

Trans Indian Natl Acad Eng, 2022
Kundu S, Maulik U.
europepmc   +1 more source

High‐Performance Transparent, Deformable, and Recoverable Biomimetic Stevia–PVA Hydrogel Triboelectric Nanogenerator with Machine Learning‐Assisted Motion Recognition

Advanced Materials, EarlyView.
A transparent, deformable stevia–PVA hydrogel triboelectric nanogenerator delivers significantly enhanced mechanical strength and electrical output through biomimetic hydrogen‐bonded networks. Coupled with machine learning–assisted signal recognition, the self‐powered hydrogel enables accurate human‐motion sensing for intelligent wearable and IoT ...
Thien Trung Luu, Bui Minh Quang, Toan Minh Pham, Jinsoo Kim, Kyungwho Choi, Dukhyun Choi   +5 more
wiley   +1 more source

Harnessing optimization with deep learning approach on intelligent transportation system for anomaly detection in pedestrian walkways. [PDF]

Sci Rep
Alotaibi SR, Alrayes FS, Maashi M, Maray M, Alliheedi MA, Badawood D, Alotaibi M.   +6 more
europepmc   +1 more source

Intelligent Transportation Logistics Optimal Warehouse Location Method Based on Internet of Things and Blockchain Technology. [PDF]

Sensors (Basel), 2022
Chen J, Xu S, Liu K, Yao S, Luo X, Wu H.
europepmc   +1 more source

A Mobility Equity Metric for Multi-Modal Intelligent Transportation Systems

Heeseung Bang, Aditya Dave, Filippos N. Tzortzoglou, Andreas A. Malikopoulos   +3 more
openalex   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

A quantum-enhanced heuristic algorithm for optimizing aircraft landing problems in low-altitude intelligent transportation systems. [PDF]

Sci Rep
Lu Y, Chen S, Zhang X, Pan X, Gang Y, Wang C.   +5 more
europepmc   +1 more source

Hourly Origin-Destination Matrix Estimation Using Intelligent Transportation Systems Data and Deep Learning. [PDF]

Sensors (Basel), 2021
Afandizadeh Zargari S, Memarnejad A, Mirzahossein H.   +2 more
europepmc   +1 more source

The Future of Transportation Modes: Integration of Artificial Intelligence into Intelligent Transportation Systems

Smart transportation technologies have developed with the integration of systems such as information technologies, communication technologies and perception technologies into transportation, which should be considered within the scope of basic needs.
openaire   +3 more sources

Semantic data lake architecture with automated schema evolution for intelligent transportation data management

Gosipathala, Sarath Babu
openalex   +1 more source