Real-time robust detector for underwater live crabs based on deep learning

S Cao, D Zhao, X Liu, Y Sun - Computers and Electronics in Agriculture, 2020 - Elsevier
Image analysis technology has drawn dramatic attention and developed rapidly because it
enables a non-extractive and non-destructive approach to data acquisition of crab …

A hybrid machine learning framework for predicting students' performance in virtual learning environment

E Evangelista - International Journal of Emerging Technologies in …, 2021 - learntechlib.org
Abstract Virtual Learning Environments (VLE), such as Moodle and Blackboard, store vast
data to help identify students' performance and engagement. As a result, researchers have …

Efficient Detection Method of Pig‐Posture Behavior Based on Multiple Attention Mechanism

L Huang, L Xu, Y Wang, Y Peng, Z Zou… - Computational …, 2022 - Wiley Online Library
Due to the low detection precision and poor robustness, the traditional pig‐posture and
behavior detection method is difficult to apply in the complex pig captivity environment. In …

[HTML][HTML] Current training and validation weaknesses in classification-based radiation fog nowcast using machine learning algorithms

M Vorndran, A Schütz, J Bendix… - Artificial Intelligence for …, 2022 - journals.ametsoc.org
Current Training and Validation Weaknesses in Classification-Based Radiation Fog
Nowcast Using Machine Learning Algorithms in: Artificial Intelligence for the Earth Systems …

Predicting the risk of hospital readmissions using a machine learning approach: a case study on patients undergoing skin procedures

J Adhiya, B Barghi, N Azadeh-Fard - Frontiers in Artificial Intelligence, 2024 - frontiersin.org
Introduction Even with modern advancements in medical care, one of the persistent
challenges hospitals face is the frequent readmission of patients. These recurrent …

Multi‐level predictors of depression symptoms in the Adolescent Brain Cognitive Development (ABCD) study

TC Ho, R Shah, J Mishra, AC May… - Journal of Child …, 2022 - Wiley Online Library
Background While identifying risk factors for adolescent depression is critical for early
prevention and intervention, most studies have sought to understand the role of isolated …

Mit Computer Vision zur automatisierten Qualitätssicherung in der industriellen Fertigung: Eine Fallstudie zur Klassifizierung von Fehlern in Solarzellen mittels …

P Zschech, C Sager, P Siebers… - HMD Praxis der …, 2021 - Springer
Die Qualitätssicherung bei der Produktion von Solarzellen ist ein entscheidender Faktor, um
langfristige Leistungsgarantien auf Solarpanels gewähren zu können. Die vorliegende …

Cleaning up the mess: can machine learning be used to predict lower extremity amputation after trauma-associated arterial injury?

S Bolourani, D Thompson, S Siskind, BD Kalyon… - Journal of the American …, 2021 - Elsevier
Background Thirty years after the Mangled Extremity Severity Score was developed,
advances in vascular, trauma, and orthopaedic surgery have rendered the sensitivity of this …

Regularized logistic regression model for cancer classification

A Arafa, M Radad, M Badawy… - 2021 38th National …, 2021 - ieeexplore.ieee.org
Cancer is a serious disease and is considered one of the causes of death. Making it worse,
many cancers are diagnosed too late. Early, diagnosis of cancer helps in taking correct …

PyMerger: Detecting Binary Black Hole Mergers from the Einstein Telescope Using Deep Learning

W Alhassan, T Bulik, M Suchenek - The Astrophysical Journal, 2024 - iopscience.iop.org
Abstract We present PyMerger, a Python tool for detecting binary black hole (BBH) mergers
from the Einstein Telescope (ET), based on a deep residual neural network (ResNet) model …