[HTML][HTML] Urban intelligent assistant on the example of the escalator passenger safety management at the subway stations

M Tianxing, A Vodyaho, N Zhukova, A Subbotin… - Scientific Reports, 2023 - nature.com
Intelligent assistants often struggle with the complexity of spatiotemporal models used for
understanding objects and environments. The construction and usage of such models …

A smartphone-based passenger assistant for public bus commute in developing countries

R Verma, A Shrivastava, K De, B Mitra… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
Although public transport vehicles such as buses have always been an economical means
of commuting in the cities of many developing countries, it is always considered as a …

[PDF][PDF] Priority Detector and Classifier Techniques Based on ML for the IoMT.

RA Alsemmeari, MY Dahab, B Alturki… - … , Materials & Continua, 2023 - cdn.techscience.cn
Emerging telemedicine trends, such as the Internet of Medical Things (IoMT), facilitate
regular and efficient interactions between medical devices and computing devices. The …

Fuzzy fog computing: A linguistic approach for knowledge inference in wearable devices

J Medina, M Espinilla, D Zafra, L Martínez… - … Computing and Ambient …, 2017 - Springer
Fog Computing has emerged as a new paradigm where the processing of data and
collaborative services are embedded within smart objects, which cooperate between them to …

Automatic model-based dataset generation for high-level vision tasks of autonomous driving in haze weather

M Wang, T Su, S Chen, W Yang, J Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Improving the performance of high-level computer vision tasks in adverse weather (eg,
haze) is highly critical for autonomous driving safety. However, collecting and annotating …

[HTML][HTML] RETRACTED ARTICLE: Decision response of subway evacuation signs based on brain component features

Y Huang, D Cao - Neural Computing and Applications, 2022 - Springer
Due to safety issues when passengers get on and off the subway and spend a lot of time on
the subway, this makes subway station signs very important. Moreover, in case of fire and …

XLAAM: explainable LSTM-based activity and anomaly monitoring in a fog environment

M Sharma, P Kaur - Journal of Reliable Intelligent Environments, 2023 - Springer
Study of activities of daily life is gaining wide attention in today's smart world powered by
advanced sensing technologies. It is particularly significant in context of health applications …

A wearable device for indoor imminent danger detection and avoidance with region-based ground segmentation

Z Li, F Song, BC Clark, DR Grooms, C Liu - IEEE Access, 2020 - ieeexplore.ieee.org
Avoiding objects independently in indoor environments for individuals with severe visual
impairment is one of the significant challenges in daily life. This paper presents a wearable …

A deep learning-based smart service model for context-aware intelligent transportation system

KHK Reddy, RS Goswami, DS Roy - The Journal of Supercomputing, 2024 - Springer
Effective means for transportation form a critical city infrastructure, particularly for resource-
constrained smart cities. Rapid advancements in information and communication …

A big data science solution for transportation analytics with meteorological data

S Kaur, NN Kokilev, MR Kuzie… - 2022 IEEE 16th …, 2022 - ieeexplore.ieee.org
In the current era of big data, very large amounts of data are generating at a rapid rate from a
wide variety of rich data sources. Embedded in these big data are valuable information and …