Results 21 to 30 of about 14,606,600 (299)
Monitoring water quality using control charts at PDAM Surya Sembada Surabaya
Abdimas: Jurnal Pengabdian Masyarakat Universitas Merdeka Malang, 2023 Statistical quality control using control charts is an easy-to-implement method to improve quality. Improvements in the quality of products and services are continuously implemented to meet consumer needs.
Valeriana Lukitosari +4 more
doaj +1 more source
Spatiotemporal Data Analysis with Codeless Visual Programming [PDF]
, 2023 This seminar will introduce the KNIME Analytics Platform and its Geospatial Analytics extension developed by the Spatial Data Lab (SDL) team at Harvard's Center for Geographic Analysis (CGA).
Spatial Data Lab
core +1 more source
Making Pattern Mining Useful [PDF]
, 2009 The discovery of patterns plays an important role in data mining. A pattern can be any type of regularity displayed in that data, such as, e.g. which items are typically sold together, which genes are mostly active for patients of a certain disease, etc,
Algorithmic Data Analysis +4 more
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Deep learning for sustainable agriculture needs ecology and human involvement
Journal of Sustainable Agriculture and Environment, 2023 Deep learning is an emerging data analytic tool that can improve predictability, efficiency and sustainability in agriculture. With a bibliometric analysis of 156 articles, we show how deep learning methods have been applied in the context of sustainable
Masahiro Ryo +6 more
doaj +1 more source
ISPRS International Journal of Geo-Information, 2022 In recent years, significant progress has been obtained in object detection using Convolutional Neural Networks (CNNs). However, owing to the particularity of Remote Sensing Images (RSIs), common object detection methods are not well suited for RSIs ...
Liming Zhou +5 more
doaj +1 more source
Data Preprocessing and Intelligent Data Analysis
Intelligent Data Analysis, 1997 This paper first provides an overview of data preprocessing, focusing on problems of real world data. These are primarily problems that have to be carefully understood and solved before any data analysis process can start. The paper discusses in detail two main reasons for performing data preprocessing: (i) problems with the data and (ii) preparation ...
Fazel Famili +3 more
openaire +3 more sources
Using machine learning to speed up new and upgrade detector studies: a calorimeter case [PDF]
EPJ Web of Conferences, 2020 In this paper, we discuss the way advanced machine learning techniques allow physicists to perform in-depth studies of the realistic operating modes of the detectors during the stage of their design.
Ratnikov Fedor +5 more
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Keeping it Short and Simple: Summarising Complex Event Sequences with Multivariate Patterns [PDF]
, 2016 We study how to obtain concise descriptions of discrete multivariate sequential data. In particular, how to do so in terms of rich multivariate sequential patterns that can capture potentially highly interesting (cor)relations between sequences.
Bertens, R. +11 more
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Characterization of RNA in exosomes secreted by human breast cancer cell lines using next-generation sequencing [PDF]
PeerJ, 2013 Exosomes are nanosized (30–100 nm) membrane vesicles secreted by most cell types. Exosomes have been found to contain various RNA species including miRNA, mRNA and long non-protein coding RNAs. A number of cancer cells produce elevated levels of exosomes.
Piroon Jenjaroenpun +5 more
doaj +2 more sources
Remote Sensing, 2023 Object detection in remote sensing images (RSIs) has become crucial in recent years. However, researchers often prioritize detecting small objects, neglecting medium- to large-sized ones.
Liming Zhou +5 more
doaj +1 more source