Big Data for transportation and mobility: recent advances, trends and challenges
Big Data is an emerging paradigm and has currently become a strong attractor of global
interest, specially within the transportation industry. The combination of disruptive …
interest, specially within the transportation industry. The combination of disruptive …
A survey of machine learning methods applied to anomaly detection on drinking-water quality data
Traditional machine learning (ML) techniques such as support vector machine, logistic
regression, and artificial neural network have been applied most frequently in water quality …
regression, and artificial neural network have been applied most frequently in water quality …
Computational intelligence tools and databases in bioinformatics
Bioinformatics is overgrowing and has found many new applications which its progress
caused the interaction with other fields. Thus presently, the Computational Intelligence …
caused the interaction with other fields. Thus presently, the Computational Intelligence …
Uses and Limitations of Big Data for Evaluating Transportation Equity
T Boyd, T Dinehart, K Williams - 2024 - rosap.ntl.bts.gov
Social equity has come to the forefront in recent years as a hot topic and essential aspect of
transportation planning. Technological advancements are allowing planners to collect more …
transportation planning. Technological advancements are allowing planners to collect more …
[PDF][PDF] Improving water quality assessment through anomaly detection using hybrid convolutional neural network approach
JR SV, AM Ramakrishnan, K Rishivardhan - 2022 - journal.gnest.org
Water being a precious commodity for every person around the world needs to be quality
monitored continuously for ensuring safety whilst usage. The water data collected from …
monitored continuously for ensuring safety whilst usage. The water data collected from …
[KİTAP][B] Application of Artificial Intelligence Technologies for Water Quality Anomaly Detection
EM Dogo - 2021 - search.proquest.com
Water is an indispensable resource for sustaining life. Hence, the quality of water is always a
matter of concern to all stakeholders. Automatic anomaly detection monitoring plays a vital …
matter of concern to all stakeholders. Automatic anomaly detection monitoring plays a vital …
Reliable information exchange in IIoT: Investigation into the role of data and data-driven modelling
M Lavassani - 2018 - diva-portal.org
Abstract The concept of Industrial Internet of Things (IIoT) is the tangible building block for
the realisation of the fourth industrial revolution. It should improve productivity, efficiency and …
the realisation of the fourth industrial revolution. It should improve productivity, efficiency and …
Internet of Things: Current Trends and Emerging Prospects
The prevalence of Internet of things (IoT) paradigm has seen the rise of many useful
applications in the domains of healthcare, industries, smart city, and so on. However, the …
applications in the domains of healthcare, industries, smart city, and so on. However, the …
SMSS: does social, mobile, spatial and sensor data have high impact on big data analytics
CS Govardanan… - International Journal of …, 2020 - inderscienceonline.com
Big data refers to the huge torrent of large-scale datasets that are being generated at an
exponential growth. Since we live in this digital world, the era of big data has emerged in …
exponential growth. Since we live in this digital world, the era of big data has emerged in …