Results 51 to 60 of about 4,361,783 (305)

CARACTERIZACIÓN DE CAFÉ CEREZA EMPLEANDO TÉCNICAS DE VISIÓN ARTIFICIAL AN ARTIFICIAL VISION SYSTEM FOR CLASSIFICATION OF COFFEE BEANS

Revista Facultad Nacional de Agronomía Medellín, 2007
Se desarrolló un sistema de visión artificial para la clasificación de frutos de café en once categorías dependiendo de su estado de madurez. Para la descripción de la forma, el color y la textura de cada fruto de café se extrajeron 208 características ...
Zulma Liliana Sandoval Niño, Flavio Augusto Prieto Ortiz   +1 more
doaj  

The Impact of the COVID‐19 Pandemic on Childhood Cancer Survival: A Population‐Based Assessment of Survival Patterns Between 2015 and 2023 in Germany

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Numerous international studies have reported declines in new cancer diagnoses, delayed diagnoses and disruptions in cancer treatment following the implementation of COVID‐19 pandemic public health measures, raising concerns that these effects may ultimately contribute to increased cancer mortality.
Friederike Erdmann, Maike Wellbrock, Javier Louro, Arndt Borkhardt, Martin Schrappe, Claudia Trübenbach, Desiree Grabow, Cécile M. Ronckers, Joachim Schüz   +8 more
wiley   +1 more source

Maximum Entropy Gibbs Density Modeling for Pattern Classification

Entropy, 2012
Recent studies have shown that the Gibbs density function is a good model for visual patterns and that its parameters can be learned from pattern category training data by a gradient algorithm optimizing a constrained entropy criterion.
Neila Mezghani, Amar Mitiche, Mohamed Cheriet   +2 more
doaj   +1 more source

A Self-Care Prediction Model for Children with Disability Based on Genetic Algorithm and Extreme Gradient Boosting

Mathematics, 2020
Detecting self-care problems is one of important and challenging issues for occupational therapists, since it requires a complex and time-consuming process. Machine learning algorithms have been recently applied to overcome this issue.
Muhammad Syafrudin, Ganjar Alfian, Norma Latif Fitriyani, Muhammad Anshari, Tony Hadibarata, Agung Fatwanto, Jongtae Rhee   +6 more
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

An adaptive fault diagnosis method of power transformers based on combining oversampling and cost‐sensitive learning

IET Smart Grid, 2021
Dissolved gas analysis is an important technique for the insulation condition assessment and incipient fault diagnosis of power transformers. However, the performance of the traditional ratio methods can be hardly improved due to the overreliance on ...
Lijing Zhang, Gehao Sheng, Huijuan Hou, Nan Zhou, Xiuchen Jiang   +4 more
doaj   +1 more source

Language, Culture, and Cancer: Qualitative Insights Into Communication Disparities Among Spanish‐Speaking Caregivers of Children With Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Latino children are projected to make up nearly one‐third of United States (US) children by 2060, and many of their caregivers speak Spanish. Prior survey research has documented communication difficulties for Spanish‐speaking caregivers of children with cancer, but contemporary qualitative data are limited.
Jenny Ruiz, Alejandra Curbelo‐Paz, Sonia Morales, Elizabeth Contreras, Amy Houtrow, Scott H. Maurer, Judy C. Chang   +6 more
wiley   +1 more source

A new one-dimensional testosterone pattern-based EEG sentence classification method

, 2023
Electroencephalography (EEG) signals are crucial data to understand brain activities. Thus, many papers have been proposed about EEG signals. In particular, machine learning techniques have been used/presented to extract information from EEG signals ...
Yildiz, Arif Metehan, Ciaccio, Edward J., Barua, Prabal Datta, Baygin, Mehmet, Tuncer, Turker, Keles, Tugce, Demir, Caner Feyzi, Acharya, U. Rajendra, Dogan, Sengul   +8 more
core   +1 more source

Pattern Classification Using an Olfactory Model with PCA Feature Selection in Electronic Noses: Study and Application

Sensors, 2012
Biologically-inspired models and algorithms are considered as promising sensor array signal processing methods for electronic noses. Feature selection is one of the most important issues for developing robust pattern recognition models in machine ...
Junbao Zheng, Jianguo Xing, Canqin Huang, Jun Fu   +3 more
doaj   +1 more source

Neurons, Dendrites, and Pattern Classification [PDF]

, 2003
Computation in a neuron of a traditional neural network is accomplished by summing the products of neural values and connection weights of all the neurons in the network connected to it. The new state of the neuron is then obtained by an activation function which sets the state to either zero or one, depending on the computed value.
Gerhard X. Ritter, Laurentiu Iancu, Gonzalo Urcid   +2 more
openaire   +1 more source