Results 31 to 40 of about 95,703 (260)

Unsupervised Classification of Chemical Compounds

Journal of the Royal Statistical Society Series C: Applied Statistics, 1999
SUMMARY Clustering chemical compounds of similar structure is important in the pharmaceutical industry. One way of describing the structure is the chemical ‘fingerprint’. The fingerprint is a string of binary digits, and typical data sets consist of very large numbers of fingerprints; a suitable clustering procedure must take account of ...
Guttiérrez Toscano, P., Marriott, F. H. C.   +1 more
openaire   +2 more sources

A Comparative Study on Classification Features between High-Resolution and Polarimetric SAR Images through Unsupervised Classification Methods

Remote Sensing, 2022
Feature extraction and comparison of synthetic aperture radar (SAR) data of different modes such as high resolution and full polarization have important guiding significance for SAR image applications.
Junrong Qu, Xiaolan Qiu, Wei Wang, Zezhong Wang, Bin Lei, Chibiao Ding   +5 more
doaj   +1 more source

Evaluation of SAR and Optical Data for Flood Delineation Using Supervised and Unsupervised Classification

Remote Sensing, 2022
Precise and accurate delineation of flooding areas with synthetic aperture radar (SAR) and multi-spectral (MS) data is challenging because flooded areas are inherently heterogeneous as emergent vegetation (EV) and turbid water (TW) are common.
Fatemeh Foroughnia, Silvia Maria Alfieri, Massimo Menenti, Roderik Lindenbergh   +3 more
doaj   +1 more source

Unsupervised Classification for Landslide Detection from Airborne Laser Scanning

Geosciences, 2019
Landslides are natural disasters that cause extensive environmental, infrastructure and socioeconomic damage worldwide. Since they are difficult to identify, it is imperative to evaluate innovative approaches to detect early-warning signs and assess ...
Caitlin J. Tran, Omar E. Mora, Jessica V. Fayne, M. Gabriela Lenzano   +3 more
doaj   +1 more source

Transcriptional profiling of circulating extracellular vesicles from prebiopsy prostate cancer patients

Molecular Oncology, EarlyView.
RNA profiling of circulating extracellular vesicles (EVs) from blood samples of men undergoing prostate biopsy identifies transcripts associated with clinically significant prostate cancer. Integrative analysis with public tumor datasets links EV‐derived gene signatures to tumor stage and progression‐free survival, highlighting CASP3, XRCC2, and RIT1 ...
Stefan Werner, Pierre Tennstedt, Randi C. Pose, Christian Müller, Katharina Besler, Svenja Schneegans, Malik Alawi, Marie C. Roesch, Sven Peine, Desiree Bonci, Joanna Budna‐Tukan, Evi Lianidou, Catherine Alix‐Panabières, Derya Tilki, Klaus Pantel   +14 more
wiley   +1 more source

When Low Rank Representation Based Hyperspectral Imagery Classification Meets Segmented Stacked Denoising Auto-Encoder Based Spatial-Spectral Feature

Remote Sensing, 2018
When confronted with limited labelled samples, most studies adopt an unsupervised feature learning scheme and incorporate the extracted features into a traditional classifier (e.g., support vector machine, SVM) to deal with hyperspectral imagery ...
Cong Wang, Lei Zhang, Wei Wei, Yanning Zhang   +3 more
doaj   +1 more source

Optimal classification of remote sensing data using directed and non-directed instruction of neural networks [PDF]

مجلة التربية والعلم, 1999
The study of multi classification of data has become one of the important issues which geographical studies focus on especially those which take their data from satellites.
Kanar Mustafa, Lubna Al-Kahli
doaj   +1 more source

Developmental programmes drive cellular plasticity, disease progression and therapy resistance in lung adenocarcinoma

Molecular Oncology, EarlyView.
This study shows that lung adenocarcinomas exploit developmental branching morphogenesis to acquire a therapy resistant basal‐like tumour cell state. This process was found to be regulated by combined TP53 loss‐of‐function and type‐I interferon signalling, identifying a novel axis for biomarker and therapeutic target discovery.
Kamila J Bienkowska, Stephany Gallardo, Nur S. Zainal, Leena Arora, Matthew Ellis, Maria‐Antoinette Lopez, Judith Austine, Sai Pittla, Serena J Chee, Aiman Alzetani, Emily C Shaw, Christian H Ottensmeier, Gareth J Thomas, Christopher J Hanley   +13 more
wiley   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

Satellite image classification using proposed singular value decomposition method

Iraqi Journal of Physics, 2019
In this work, satellite images for Razaza Lake and the surrounding area district in Karbala province are classified for years 1990,1999 and 2014 using two software programming (MATLAB 7.12 and ERDAS imagine 2014).
Noor Zubair Kouder
doaj   +1 more source