Results 21 to 30 of about 526,945 (283)

Improving Bayesian Network Structure Learning in the Presence of Measurement Error

, 2022
Structure learning algorithms that learn the graph of a Bayesian network from observational data often do so by assuming the data correctly reflect the true distribution of the variables.
Liu, Y, Constantinou, AC, Guo, Z
core   +1 more source

The use of machine learning and deep learning techniques to assess proprioceptive impairments of the upper limb after stroke

Journal of NeuroEngineering and Rehabilitation, 2023
Background Robots can generate rich kinematic datasets that have the potential to provide far more insight into impairments than standard clinical ordinal scales.
Delowar Hossain, Stephen H. Scott, Tyler Cluff, Sean P. Dukelow   +3 more
doaj   +1 more source

PENGEMBANGAN MULTIMEDIA BERBASIS WEB MUATAN IPA SISWA KELAS V DI SEKOLAH DASAR

Primary: Jurnal Pendidikan Guru Sekolah Dasar, 2022
This article describes a product in the form of web-based multimedia in natural science learning subjects for fifth-grade elementary school students. The research method used is research and development with the Hannafin and Peck model, which consists of
Yeni Eliza Ferawati, Murjainah, Sylvia Lara Syaflin   +2 more
doaj   +1 more source

Assessment of the predictive potential of cognitive scores from retinal images and retinal fundus metadata via deep learning using the CLSA database

Scientific Reports, 2022
AbstractAccumulation of beta-amyloid in the brain and cognitive decline are considered hallmarks of Alzheimer’s disease. Knowing from previous studies that these two factors can manifest in the retina, the aim was to investigate whether a deep learning method was able to predict the cognition of an individual from a RGB image of his retina and metadata.
Denis Corbin, Frédéric Lesage
openaire   +3 more sources

Automating Rey Complex Figure Test scoring using a deep learning-based approach: A potential large-scale screening tool for congnitive decline

Alzheimer's Research & Therapy, 2022
Abstract Background: The Rey Complex Figure Test (RCFT) has been widely used to evaluate neurocognitive functions in various clinical groups with a broad range of ages. However, despite its usefulness, the scoring method is as complex as the figure. Such a complicated scoring system can lead to the risk of reducing the extent of agreement among
Jun Young Park, Eun Hyun Seo, Hyung-Jun Yoon, Sungho Won, Kun Ho Lee   +4 more
openaire   +3 more sources

Improving prognostic performance in resectable pancreatic ductal adenocarcinoma using radiomics and deep learning features fusion in CT images

Scientific Reports, 2021
As an analytic pipeline for quantitative imaging feature extraction and analysis, radiomics has grown rapidly in the past decade. On the other hand, recent advances in deep learning and transfer learning have shown significant potential in the ...
Yucheng Zhang, Edrise M. Lobo-Mueller, Paul Karanicolas, Steven Gallinger, Masoom A. Haider, Farzad Khalvati   +5 more
doaj   +1 more source

Scaling Smallholder Farmer Empowerment: Lessons from the Lifelong Learning Program in Uganda

, 2021
An evaluation study of the Lifelong Learning for Farmers (L3F) program was undertaken in two sites; in the central and northern regions of Uganda. Propensity Score Matching (PSM) was used to measure the impact of the program on crop and household ...
Kakuru, Medard, Carr, Alexis, Kalibwani, Rebecca, Medard Kakuru, Moses Tenywa, Tenywa, Moses, Rebecca Kalibwani, Alexis Carr   +7 more
core   +1 more source

Bayesian Network Structural Learning Using Adaptive Genetic Algorithm with Varying Population Size

, 2023
A Bayesian network (BN) is a probabilistic graphical model that can model complex and nonlinear relationships. Its structural learning from data is an NP-hard problem because of its search-space size. One method to perform structural learning is a search
Carlos Dias Maciel, Rafael Rodrigues Mendes Ribeiro   +1 more
core   +1 more source

#273 : Comparative Analysis of Pregnancy Predictive Potential Using the Deep Learning Blastocyst Scoring Model Calculated from the Single Focus Blastocyst Image and Time-Lapse Image Sequences

Fertility & Reproduction, 2023
Background and Aims: Artificial Intelligence (AI) based embryo evaluation may objective and reduce inter-observer disagreement. Most commercially available AI models use blastocyst morphokinetics from time-lapse monitoring (TLM). Lifewhisperer (LW, FUJIFILM) is an AI-scoring model that uses a single-focus blastocyst image at a single-time point.
Masashi Shioya, Tatsuya Kobayashi, Shun Nakano, Tomoharu Sugiura, Miki Okabe-Kinoshita, Maki Fujita, Keiichi Takahashi   +6 more
openaire   +2 more sources

Developing the archaebacteria and eubacteria web-based learning media for high school students

JPBI (Jurnal Pendidikan Biologi Indonesia), 2018
The 21st-century biology learning requires technology-based learning which is potential in improving students’ learning outcomes. This research aimed to examine the validity and effectiveness of web-based learning media on Archaebacteria and Eubacteria ...
Maulida Ulfa Hidayah, Sonja V. T. Lumowa, Didimus Tanah Boleng   +2 more
doaj   +1 more source