Results 31 to 40 of about 1,981,486 (333)

Knee Osteoporosis Diagnosis Based on Deep Learning

International Journal of Computational Intelligence Systems
Osteoporosis, a silent yet debilitating disease, presents a significant challenge due to its asymptomatic nature until fractures occur. Rapid bone loss outpaces regeneration, leading to pain, disability, and loss of independence.
Amany M. Sarhan, Mohamed Gobara, Shady Yasser, Zainab Elsayed, Ghada Sherif, Nada Moataz, Yasmen Yasir, Esraa Moustafa, Sara Ibrahim, Hesham A. Ali   +9 more
doaj   +1 more source

GHOST—A New Face Swap Approach for Image and Video Domains

IEEE Access, 2022
Deep fake stands for a face swapping algorithm where the source and target can be an image or a video. Researchers have investigated sophisticated generative adversarial networks (GAN), autoencoders, and other approaches to establish precise and robust ...
Alexander Groshev, Anastasia Maltseva, Daniil Chesakov, Andrey Kuznetsov, Denis Dimitrov   +4 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser, Alice Bizeul, Meera Chitlur, Hugo Donato, Jelena Roganovic, Julia E. Vogt, Thomas Kühne   +6 more
wiley   +1 more source

The Artificial Intelligence Course at the Faculty of Computer Science in the Polytechnic University of Madrid [PDF]

, 1994
This paper presents the experience of teaching an Artificial Intelligence course at the Faculty of Computer Science in the Polytechnic University of Madrid, Spain.
Gómez-Pérez, A., Juristo, N.
core   +1 more source

Achieving high-accuracy skin cancer classification with deep learning optimized by ant colony algorithm

Journal of Electrical Systems and Information Technology
Skin cancer, particularly melanoma, poses a critical global health challenge due to its high mortality rate. Early and precise detection is vital for effective treatment and better prognosis.
Amany M. Sarhan, Hesham A. Ali, Shady Yasser, Mohamed Gobara, Ahmed A. Kandil, Ghada Sherif, Esraa Moustafa   +6 more
doaj   +1 more source

Application of Artificial Intelligence in Transportation Demand Management: Development and Implementation of E-sutra [PDF]

, 2013
Allowing traffic to grow to a level at which there is extensive and regular congestion is economically inefficient. Although the construction of additional roads can alleviate some of the effects of congestion, the benefits may be counterbalanced unless ...
Ircham, I. (Ircham), Resdiansyah, R. (Resdiansyah), Sandjoko, O. (Otto)   +2 more
core  

A Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents

Scientific Data
In the rapidly evolving field of artificial intelligence (AI), mapping innovation patterns and understanding effective technology transfer from research to applications are essential for economic growth. However, existing data infrastructures suffer from
Haixing Gong, Hui Zou, Xingzhou Liang, Shiyuan Meng, Pinlong Cai, Xingcheng Xu, Jingjing Qu   +6 more
doaj   +1 more source

Fast Backprojection Filtration Algorithm in Circular Cone-Beam Computed Tomography

International Journal of Optics, 2023
In order to meet the heavy backprojection calculation of the backprojection filtration (BPF) algorithm in circular cone-beam computed tomography (CT), a fast backprojection method is developed, which uses the integral operator of the fixed scanning angle
Xianchao Wang, Yong Zhang, Xingyong Hong, Honghai Wang   +3 more
doaj   +1 more source

Organoids in pediatric cancer research

FEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Using the Mean Absolute Percentage Error for Regression Models [PDF]

, 2015
We study in this paper the consequences of using the Mean Absolute Percentage Error (MAPE) as a measure of quality for regression models. We show that finding the best model under the MAPE is equivalent to doing weighted Mean Absolute Error (MAE ...
De Myttenaere, Arnaud, Golden, Boris, Grand, Bénédicte Le, Rossi, Fabrice   +3 more
core   +7 more sources