Big Data for transportation and mobility: recent advances, trends and challenges

AI Torre‐Bastida, J Del Ser, I Laña… - IET Intelligent …, 2018 - Wiley Online Library
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 …

A survey of machine learning methods applied to anomaly detection on drinking-water quality data

EM Dogo, NI Nwulu, B Twala, C Aigbavboa - Urban Water Journal, 2019 - Taylor & Francis
Traditional machine learning (ML) techniques such as support vector machine, logistic
regression, and artificial neural network have been applied most frequently in water quality …

Computational intelligence tools and databases in bioinformatics

Z Alansari, NB Anuar, A Kamsin… - 2017 4th IEEE …, 2017 - ieeexplore.ieee.org
Bioinformatics is overgrowing and has found many new applications which its progress
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 …

[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 …

[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 …

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 …

Internet of Things: Current Trends and Emerging Prospects

A Sen, S Madria - Proceedings of International Symposium on Sensor …, 2018 - Springer
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 …

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 …