Results 31 to 40 of about 48,121,012 (289)

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, Sunarsini Sunarsini, Wahyu Fistia Doctorina, Laksmi Prita Wardhani, Endah Rokhmati Merdika Putri   +4 more
doaj   +1 more source

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, Josepha Schiller, Stefan Stiller, Juan Camilo Rivera Palacio, Konlavach Mengsuwan, Anastasiia Safonova, Yuqi Wei   +6 more
doaj   +1 more source

A Lightweight Object Detection Method in Aerial Images Based on Dense Feature Fusion Path Aggregation Network

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, Xiaohan Rao, Yahui Li, Xianyu Zuo, Baojun Qiao, Yinghao Lin   +5 more
doaj   +1 more source

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., Sub Algorithmic Data Analysis, Algorithmic Data Analysis, Bertens, Roel, Vreeken, J., Jilles Vreeken, Roel Bertens, Siebes, Arno, Vreeken, Jilles, Siebes, A.P.J.M., Siebes, A., Arno Siebes   +11 more
core   +2 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, Derkach Denis, Boldyrev Alexey, Shevelev Andrey, Fakanov Pavel, Matyushin Leonid   +5 more
doaj   +1 more source

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, Yuliya Kremenska, Vrundha M. Nair, Maksym Kremenskoy, Baby Joseph, Igor V. Kurochkin   +5 more
doaj   +2 more sources

MHLDet: A Multi-Scale and High-Precision Lightweight Object Detector Based on Large Receptive Field and Attention Mechanism for Remote Sensing Images

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, Hang Zhao, Zhehao Liu, Kun Cai, Yang Liu, Xianyu Zuo   +5 more
doaj   +1 more source

Analysis of neonatal mortality data for year 2016 [PDF]

, 2018
This report presents an analysis of neonatal mortality in infants born in 2016 at a gestational age (GA) less that 32 weeks, and who were admitted to neonatal units that form the UK Neonatal Collaborative in England, Wales and Scotland (part).
Longford, Nicholas, Modi, Neena
core   +1 more source

Identification of common oncogenic and early developmental pathways in the ovarian carcinomas controlling by distinct prognostically significant microRNA subsets

BMC Genomics, 2017
Background High-grade serous ovarian carcinoma (HG-SOC) is the dominant tumor histologic type in epithelial ovarian cancers, exhibiting highly aberrant microRNA expression profiles and diverse pathways that collectively determine the disease ...
Vladimir A. Kuznetsov, Zhiqun Tang, Anna V. Ivshina   +2 more
doaj   +1 more source

Secondary Generalisation in Categorisation: An Exemplar-based Account

Psychologica Belgica, 2010
The parallel rule activation and rule synthesis (PRAS) model is a computational model for generalisation in category learning, proposed by Vandierendonck (1995).
Yves Rosseel, Maarten De Schryver
doaj   +1 more source