A survey on long-range wide-area network technology optimizations

FSD Silva, EP Neto, H Oliveira, D Rosário… - IEEE …, 2021 - ieeexplore.ieee.org
Long-Range Wide-Area Network (LoRaWAN) enables flexible long-range service
communications with low power consumption which is suitable for many IoT applications …

Edge AI‐Based Automated Detection and Classification of Road Anomalies in VANET Using Deep Learning

R Bibi, Y Saeed, A Zeb, TM Ghazal… - Computational …, 2021 - Wiley Online Library
Road surface defects are crucial problems for safe and smooth traffic flow. Due to climate
changes, low quality of construction material, large flow of traffic, and heavy vehicles, road …

Automated road defect and anomaly detection for traffic safety: a systematic review

M Rathee, B Bačić, M Doborjeh - Sensors, 2023 - mdpi.com
Recently, there has been a substantial increase in the development of sensor technology.
As enabling factors, computer vision (CV) combined with sensor technology have made …

Identification, cost evaluation, and prioritization of urban traffic congestions and their origin

N Serok, S Havlin, E Blumenfeld Lieberthal - Scientific Reports, 2022 - nature.com
The increasing urbanization in the last decades results in significant growth in urban traffic
congestion around the world. This leads to enormous time people spent on roads and thus …

Classifying students based on cognitive state in flipped learning pedagogy

R Shaw, BK Patra - Future Generation Computer Systems, 2022 - Elsevier
The flipped learning (FL) is found to be an effective teaching methodology which is
accomplished in two stages. In the first stage, students take instructions and learn from pre …

A review of road surface anomaly detection and classification systems based on vibration-based techniques

EA Martinez-Ríos, MR Bustamante-Bello… - Applied Sciences, 2022 - mdpi.com
Road surfaces suffer from sources of deterioration, such as weather conditions, constant
usage, loads, and the age of the infrastructure. These sources of decay generate anomalies …

Preference-aware edge server placement in the internet of things

Y Chen, Y Lin, Z Zheng, P Yu, J Shen… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
While it is well understood that edge computing can significantly facilitate IoT-related
applications by deploying edge servers close to IoT devices, it also faces many challenges …

Analysis of ID sequences similarity using DTW in intrusion detection for CAN bus

H Sun, M Sun, J Weng, Z Liu - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
Connected vehicles have recently attracted considerable attention for revolutionizing the
transportation industry. Although connectivity brings about a vast number of benefits, it can …

[LIBRO][B] Autonomous driving perception

R Fan, S Guo, MJ Bocus - 2023 - Springer
With the recent advancements in artificial intelligence, there is a growing expectation that
fully autonomous driving vehicles will soon become a reality, leading to significant societal …

A dynamic graph structure identification method of spatio-temporal correlation in an aluminum electrolysis cell

Y Sun, X Chen, L Cen, W Gui, C Yang, Z Zou - Applied Soft Computing, 2024 - Elsevier
The dynamic correlation analysis of cell-spatial information (distributed anode current signal,
DACS) is of great significance in the regional-refined control of industrial aluminum …