Gaze prediction based on convolutional neural network
In this paper gaze prediction aims to acquire good performance via “Convolutional Neural
Network (CNN)” based identification. Gaze prediction was proposed to localize the gaze …
Network (CNN)” based identification. Gaze prediction was proposed to localize the gaze …
Machine learning techniques for classification of breast tissue
This paper presents an automated classification of breast tissue using two machine learning
techniques: Feedforward neural network using the backpropagation learning algorithm …
techniques: Feedforward neural network using the backpropagation learning algorithm …
Sliding window based machine learning system for the left ventricle localization in MR cardiac images
A Helwan, D Uzun Ozsahin - … Computational Intelligence and …, 2017 - Wiley Online Library
The most commonly encountered problem in vision systems includes its capability to suffice
for different scenes containing the object of interest to be detected. Generally, the different …
for different scenes containing the object of interest to be detected. Generally, the different …
Machine learning in concrete's strength prediction
Concrete's compressive strength is widely studied in order to understand many qualities and
the grade of the concrete mixture. Conventional civil engineering tests involve time and …
the grade of the concrete mixture. Conventional civil engineering tests involve time and …
Predicting seminal quality via imbalanced learning with evolutionary safe-level synthetic minority over-sampling technique
Seminal quality has fallen dramatically over the past two decades. Research indicates that
environmental factors, health status, and life habits might lead to the decline. Prediction of …
environmental factors, health status, and life habits might lead to the decline. Prediction of …
Повышение эффективности вспомогательных репродуктивных технологий с помощью искусственного интеллекта и машинного обучения на …
АП Сысоева, НП Макарова, ЕА Калинина… - Акушерство и …, 2020 - elibrary.ru
Проведен систематический анализ литературных данных о возможностях
использования новейших методов в области искусственного интеллекта (ИИ) в сфере …
использования новейших методов в области искусственного интеллекта (ИИ) в сфере …
Predicting seminal quality using back-propagation neural networks with optimal feature subsets
Many studies have shown that there is a decline in seminal quality during the past two
decades. Seminal quality may be affected by environmental factors and health status, as …
decades. Seminal quality may be affected by environmental factors and health status, as …
Makine Öğrenme Yöntemleri ile Semen Kalitesi Tahmini
K Karadağ - Avrupa Bilim ve Teknoloji Dergisi, 2020 - dergipark.org.tr
Doğurganlık oranları son yıllarda önemli ölçüde azalmıştır. Bu durum özellikle erkeklerde
daha fazla görülmeye başlanmış ve kısırlık olarak ifade edilmiştir. Kısırlık, Dünya Sağlık …
daha fazla görülmeye başlanmış ve kısırlık olarak ifade edilmiştir. Kısırlık, Dünya Sağlık …
In-line grading system for mango fruits using GLCM feature extraction and soft-computing techniques
EO Olaniyi, OK Oyedotun… - … Journal of Applied …, 2019 - inderscienceonline.com
In the fruit production industries and supermarkets, mature (ripe) fruits are demanded for
consumption by the consumers and also for production in fruit processing industries …
consumption by the consumers and also for production in fruit processing industries …
Machine Learning in Fly Ash Concrete Compressive Strength Prediction
NS Ateig, AML Milad, K Almezhghw… - … Conference on Smart …, 2024 - Springer
In this paper, machine leaning systems are used to perform a prediction task of the fly ash
concrete compressive strength. As most related literatures have used a conventional …
concrete compressive strength. As most related literatures have used a conventional …