Analysis and Prediction of Software Bugs Using Deep Learning Models and Code Dependency Graphs
Software bug prediction aims to automatically identify code modules likely to contain defects, improving quality and reducing testing costs Tradition…
۶۷ رکورد مرتبط در نمایه علمیجو
Software bug prediction aims to automatically identify code modules likely to contain defects, improving quality and reducing testing costs Tradition…
Deep neural networks rely on high dimensional tensors that encode the parameters of convolutional filters, fully connected layers, and attention mech…
Background: Embryo selection is critical to IVF success Traditional morphological assessment is limited by subjectivity AI and deep learning offer a…
Electrocorticography ECoG signals, acquired by placing electrode grids directly on the cortical surface, have gained increasing importance in applica…
Accurate demand forecasting plays a critical role in blood supply chain management due to the perishable nature of blood products and uncertainty in…
Given the importance of increasing accuracy and speed in sports monitoring and officiating processes, this study focuses on the design and developmen…
Electrocorticography ECoG signals, acquired by placing electrode grids directly on the cortical surface, have gained increasing importance in applica…
The determination of stem cell fate is a fundamental process in developmental biology that governs tissue formation and homeostasis Traditionally, id…
The scarcity of open access medical datasets in the field of Multiple Sclerosis MS poses a major challenge for training deep neural networks, which t…
Visual inspection of welds in many production lines faces limitations such as being time consuming, dependence on inspector expertise, and sensitivit…
Artificial intelligence, particularly deep learning, is revolutionizing welding and nondestructive testing NDT This systematic review analyzes 85 key…