[HTML][HTML] Smart mobility with Big Data: approaches, applications, and challenges
… —94 published between 2015 and 2023, one in 2012, and one … of America, with 15; Republic
of Korea, with 14 published papers… of [13] proposed strong reliance on results from big data …
of Korea, with 14 published papers… of [13] proposed strong reliance on results from big data …
[HTML][HTML] A survey of video surveillance systems in smart city
Y Myagmar-Ochir, W Kim - Electronics, 2023 - mdpi.com
… world over are becoming smart with the integration of advanced information technologies
and data-… to their excellent scalability, IP cameras can be used to cover wide urban areas [13]. …
and data-… to their excellent scalability, IP cameras can be used to cover wide urban areas [13]. …
[HTML][HTML] Detection of multiple respiration patterns based on 1D SNN from continuous human breathing signals and the range classification method for each respiration …
JW Hong, SH Kim, GT Han - Sensors, 2023 - mdpi.com
… Human activity recognition from accelerometer data using Convolutional … IEEE International
Conference on Big Data and Smart Computing (BigComp), Jeju, Republic of Korea, 13–16 …
Conference on Big Data and Smart Computing (BigComp), Jeju, Republic of Korea, 13–16 …
[HTML][HTML] Optimizing Data Processing: A Comparative Study of Big Data Platforms in Edge, Fog, and Cloud Layers
T Shwe, M Aritsugi - Applied Sciences, 2024 - mdpi.com
… In summary, big data platforms optimized for edge and fog computing environments offer
proximity, reduced latency, efficient resource utilization, scalability, flexibility, and support for …
proximity, reduced latency, efficient resource utilization, scalability, flexibility, and support for …
[HTML][HTML] Towards Data-Driven Decision-Making in the Korean Film Industry: An XAI Model for Box Office Analysis Using Dimension Reduction, Clustering, and …
The Korean film market has been rapidly … data-driven decision-making opportunities for the
Korean film industry. The DRECE framework starts with transforming multi-dimensional data …
Korean film industry. The DRECE framework starts with transforming multi-dimensional data …
[HTML][HTML] Visualization technology and deep-learning for multilingual spam message detection
H Lee, S Jeong, S Cho, E Choi - Electronics, 2023 - mdpi.com
… of various languages by processing the data as images, so they can be equally applied to
languages other than English. In this study, English and Korean spam data were used. As a …
languages other than English. In this study, English and Korean spam data were used. As a …
Enhancing Cybersecurity: The Development of a Flexible Deep Learning Model for Enhanced Anomaly Detection
… Bigdata-driven anomaly detection in industry (4.0): An approach and a case study. In
Proceedings of the 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, …
Proceedings of the 2016 IEEE International Conference on Big Data (Big Data), Washington, DC, …
[HTML][HTML] Data aging matters: Federated learning-based consumption prediction in smart homes via age-based model weighting
… The energy consumption data from all residential areas are … in a large collection of big
data. The proposed related work makes use of standard business intelligence (BI) and big data …
data. The proposed related work makes use of standard business intelligence (BI) and big data …
[HTML][HTML] Enhancing Deep Learning-Based Segmentation Accuracy through Intensity Rendering and 3D Point Interpolation Techniques to Mitigate Sensor Variability
MJ Kim, S Kim, B Lee, J Kim - Sensors, 2024 - mdpi.com
… RangeNet++ is noted for its superior accuracy in converting 3D LIDAR data into 2D images
via spherical projection, achieving a high level of segmentation accuracy after filtering [16]. …
via spherical projection, achieving a high level of segmentation accuracy after filtering [16]. …
[HTML][HTML] Explainable Neural Tensor Factorization for Commercial Alley Revenues Prediction
… We compare various machine learning models on the Seoul Commercial Alley dataset. We
evaluate the models using a seven-fold cross-test. During the training period, we use 15% of …
evaluate the models using a seven-fold cross-test. During the training period, we use 15% of …