ICNCS: internal cascaded neuromorphic computing system for fast electric vehicle state of charge estimation
Accuracy and speed of Lithium-ion battery state of charge (SOC) estimation determine the
reliability and stability of electric vehicle (EV), as well as promoting the development of smart …
reliability and stability of electric vehicle (EV), as well as promoting the development of smart …
Machine learning based healthcare system for investigating the association between depression and quality of life
New technological innovations are changing the future of healthcare system. Identification of
factors that are responsible for causing depression may lead to new experiments and …
factors that are responsible for causing depression may lead to new experiments and …
Analytical enumeration of redundant data anomalies in energy consumption readings of smart buildings with a case study of darmstadt smart city in Germany
PP Kasaraneni, VPK Yellapragada, GLK Moganti… - Sustainability, 2022 - mdpi.com
High-quality data are always desirable for superior decision-making in smart buildings.
However, latency issues, communication failures, meter glitches, etc., create data …
However, latency issues, communication failures, meter glitches, etc., create data …
Learning to rank resources with GNN
As the content on the Internet continues to grow, many new dynamically changing and
heterogeneous sources of data constantly emerge. A conventional search engine cannot …
heterogeneous sources of data constantly emerge. A conventional search engine cannot …
Segmentation of tweets with urls and its applications to sentiment analysis
An important means for disseminating information in social media platforms is by including
URLs that point to external sources in user posts. In Twitter, we estimate that about 21% of …
URLs that point to external sources in user posts. In Twitter, we estimate that about 21% of …
Web record extraction with Invariants
Web records are structured data on a Web page that embeds records retrieved from an
underlying database according to some templates. Mining data records on the Web enables …
underlying database according to some templates. Mining data records on the Web enables …
Semantic integration of heterogeneous data sources using ontology-based domain knowledge modeling for early detection of COVID-19
The enormous outbreak of biomedical knowledge, the aim of reducing computation and
processing costs and the widespread availability of internet connection have created a …
processing costs and the widespread availability of internet connection have created a …
An end-to-end deep neural network for truth discovery
H Chen, Y Dong, Q Gu, Y Liu - … , September 23–25, 2020, Proceedings 17, 2020 - Springer
With the rapid growth of web data, information about the same target gathered from multiple
sources often exhibits conflicts. This problem motivates the need for truth discovery, which is …
sources often exhibits conflicts. This problem motivates the need for truth discovery, which is …
Normalization Methods for Multiple Sources of Data
KRGS Prathyusha, BE Reddy - 2021 5th International …, 2021 - ieeexplore.ieee.org
Data is important part of any kind of applications, specifically in World Wide Web and
Electronic documents. As the ICT (Information & Communication Technology) industry …
Electronic documents. As the ICT (Information & Communication Technology) industry …
[Retracted] Teaching Method of Japanese Professional Writing Course Based on Big Data Fusion
D Zhao, G Yin - Security and Communication Networks, 2022 - Wiley Online Library
In recent years, the number of Japanese learners has increased year by year. When
Japanese is learned as a language, knowledge of the language itself is indispensable. This …
Japanese is learned as a language, knowledge of the language itself is indispensable. This …