Results 41 to 50 of about 1,902,998 (334)
A Global Dataset Mapping the AI Innovation from Academic Research to Industrial Patents
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 +6 more
doaj +1 more source
Fast Backprojection Filtration Algorithm in Circular Cone-Beam Computed Tomography
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 +3 more
doaj +1 more source
Bridging the gap: Multi‐stakeholder perspectives of molecular diagnostics in oncology
Although molecular diagnostics is transforming cancer care, implementing novel technologies remains challenging. This study identifies unmet needs and technology requirements through a two‐step stakeholder involvement. Liquid biopsies for monitoring applications and predictive biomarker testing emerge as key unmet needs. Technology requirements vary by
Jorine Arnouts +8 more
wiley +1 more source
Egyptian car plate recognition based on YOLOv8, Easy-OCR, and CNN
This research presents an innovative approach to Egyptian car plate recognition using YOLOv8 and optical character recognition (OCR) technologies. Leveraging the powerful object detection capabilities of YOLOv8, the system efficiently detects car plates ...
Amany Sarhan +7 more
doaj +1 more source
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira +14 more
wiley +1 more source
Integrating machine learning and sentiment analysis in movie recommendation systems
The fast growth of the film business, along with an ever-increasing number of movie options, has highlighted the need for better recommendation algorithms.
Amany M. Sarhan +5 more
doaj +1 more source
Using the Mean Absolute Percentage Error for Regression Models [PDF]
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 +3 more
core +7 more sources
Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
Implementation of machine learning algorithms to create diabetic patient re-admission profiles
Background Machine learning is a branch of Artificial Intelligence that is concerned with the design and development of algorithms, and it enables today’s computers to have the property of learning.
Mohamed Alloghani +6 more
doaj +1 more source
The Artificial Life Roots of Artificial Intelligence [PDF]
Behavior-oriented Artificial Intelligence (AI) is a scientific discipline that studies how behavior of agents emerges and becomes intelligent and adaptive. Success of the field is defined in terms of success in building physical agents that are capable of maximizing their own self-preservation in interaction with a dynamically changing environment ...
openaire +3 more sources

