Revolutionizing Kidney Transplant Success with Deep Learning
In a groundbreaking study poised to revolutionize the field of organ transplantation, researchers have harnessed the power of deep learning...
Deep
Helixer: ab initio prediction of primary eukaryotic gene models combining deep learning and a hidden Markov model
Overview of HelixerHelixer is a deep learning-based framework for eukaryotic gene annotation directly from genomic DNA. It uses a sequence...
Benchmarking deep learning methods for biologically conserved single-cell integration | Genome Biology
A unified benchmarking framework for single-cell integrationTo systematically evaluate various loss functions, we established a unified benchmarking framework wherein all...
Multi-Regional deep learning models for identifying dental restorations and prosthesis in panoramic radiographs | BMC Oral Health
This methodology describes the complete pipeline for training a YOLOv11, Faster region-based convolutional neural network (Faster R-CNN), and Vision Transformer...
Deep reinforcement learning-based intrusion detection scheme for software-defined networking
The proposed methodology for the IDS uses Deep Reinforcement Learning to increase the accuracy of intrusion detection as well as...
A deep learning-based meteorological factors forecast and dynamic risk assessment approach for built cultural heritage
With the advancement of information technology, it has become possible to investigate preventive conservation for built heritage using IoTs, big...
