Results 61 to 70 of about 280,536 (327)

Knowledge-based query system for the critical minerals

Applied Computing and Geosciences
Critical minerals are increasingly used in advanced, modern technologies. Exploration for these minerals require efficient mechanisms to search for the latest geological knowledge about the petrogenesis and spatial distribution of these essential ...
Armita Davarpanah, Hassan A. Babaie, W. Crawford Elliott   +2 more
doaj   +1 more source

Development of a downstream emergency response service for flood and related risks in Romania based on satellite data

E3S Web of Conferences, 2016
Recently, the National Meteorological Administration initiated and started to implement user-driven services, based on satellite remote sensing and geo-information capacities.
Stancalie Gheorghe, Craciunescu Vasile, Irimescu Anisoara   +2 more
doaj   +1 more source

Oasis 2: improved online analysis of small RNA-seq data

BMC Bioinformatics, 2018
Background Small RNA molecules play important roles in many biological processes and their dysregulation or dysfunction can cause disease. The current method of choice for genome-wide sRNA expression profiling is deep sequencing.
Raza-Ur Rahman, Abhivyakti Gautam, Jörn Bethune, Abdul Sattar, Maksims Fiosins, Daniel Sumner Magruder, Vincenzo Capece, Orr Shomroni, Stefan Bonn   +8 more
doaj   +1 more source

Trash Taxonomy Tool: harmonizing classification systems used to describe trash in environments

Microplastics and Nanoplastics, 2022
Despite global efforts to monitor, mitigate against, and prevent trash (mismanaged solid waste) pollution, no harmonized trash typology system has been widely adopted worldwide. This impedes the merging of datasets and comparative analyses.
Hannah Hapich, Win Cowger, Andrew Gray, Neil Tangri, Tony Hale, Amr Magdy, Antoinette Vermilye, Walter Yu, Dick Ayres, Charles Moore, John Vermilye, Samiksha Singh, Aaron N. K. Haiman, Kathryn Youngblood, Yunfan Kang, Margaret McCauley, Trevor Lok, Shelly Moore, Eric Baggs, Sherry Lippiatt, Peter Kohler, Gary Conley, Janna Taing, Jeremiah Mock   +23 more
doaj   +1 more source

Learning Deep Visual Object Models From Noisy Web Data: How to Make it Work

, 2017
Deep networks thrive when trained on large scale data collections. This has given ImageNet a central role in the development of deep architectures for visual object classification.
Babiloni, Francesca, Caputo, Barbara, Hawes, Nick, Massouh, Nizar, Tommasi, Tatiana, Young, Jay   +5 more
core   +1 more source

Extracting consumers needs for new products a web mining approach [PDF]

, 2010
Here we introduce a web mining approach for automatically identifying new product ideas extracted from web logs. A web log - also known as blog - is a web site that provides commentary, news, and further information on a subject written by individual ...
Prinzie, Anita, Thorleuchter, Dirk, Van den Poel, Dirk   +2 more
core   +2 more sources

Continuous Monitoring of Bladder Dysfunction in People With Multiple Sclerosis: Wearables for the Bladder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Bladder dysfunction affects over 85% of people with multiple sclerosis (PwMS), yet current assessment methods are limited to periodic in‐clinic evaluations or subjective patient reports, failing to capture real‐world symptom fluctuations.
Valerie J. Block, Shane Poole, Leah McIntyre, Nikki Sisodia, Chelyn Park, Gabby Joseph, Michelle E. Van Kuiken, Anne M. Suskind, Riley Bove   +8 more
wiley   +1 more source

Robust image classification system via cloud computing, aligned multimodal embeddings, centroids and neighbours

Machine Learning with Applications
We propose a framework for a cloud-based application of an image classification system that is highly accessible, maintains data confidentiality, and robust to incorrect training labels. The end-to-end system is implemented using Amazon Web Services (AWS)
Wei Lun Koh, James Boon Yong Koh, Bing Tian Dai   +2 more
doaj   +1 more source

SVM-Prot 2016: A Web-Server for Machine Learning Prediction of Protein Functional Families from Sequence Irrespective of Similarity. [PDF]

PLoS ONE, 2016
Knowledge of protein function is important for biological, medical and therapeutic studies, but many proteins are still unknown in function. There is a need for more improved functional prediction methods.
Ying Hong Li, Jing Yu Xu, Lin Tao, Xiao Feng Li, Shuang Li, Xian Zeng, Shang Ying Chen, Peng Zhang, Chu Qin, Cheng Zhang, Zhe Chen, Feng Zhu, Yu Zong Chen   +12 more
doaj   +1 more source

Remaining Burden of Spinal Muscular Atrophy Among Treated Patients: A Survey of Patients and Caregivers

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Spinal muscular atrophy (SMA) significantly impacts motor function. This study aimed to assess the persistent burden and unmet needs among currently treated patients with SMA and their caregivers. Methods Two complementary web‐based surveys were distributed in August 2024 among patients with SMA and their caregivers.
Julie A. Parsons, Natalie Land, Melissa Culhane Maravic, Claire Cagle, Amal Jamaleddine, Hemal Shah, Thomas Brown, Christabella Cherubino, Mouhamed Gueye   +8 more
wiley   +1 more source