[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 …
understanding objects and environments. The construction and usage of such models …
A smartphone-based passenger assistant for public bus commute in developing countries
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 …
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.
Emerging telemedicine trends, such as the Internet of Medical Things (IoMT), facilitate
regular and efficient interactions between medical devices and computing devices. The …
regular and efficient interactions between medical devices and computing devices. The …
Fuzzy fog computing: A linguistic approach for knowledge inference in wearable devices
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 …
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
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 …
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[HTML][HTML] RETRACTED ARTICLE: Decision response of subway evacuation signs based on brain component features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 …
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
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 …
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
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 …
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
Effective means for transportation form a critical city infrastructure, particularly for resource-
constrained smart cities. Rapid advancements in information and communication …
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 …
wide variety of rich data sources. Embedded in these big data are valuable information and …