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DeepMBS: Prediction of Protein Metal Binding-Site Using Deep Learning Networks
(2017)
The tertiary structure of a protein indicates what vital function that protein fulfills in the cell. Prediction of the metal binding comformation of a protein from its sequence is a crucial step in predicting its tertiary ...
Investigating Transfer Learning Performances of Deep Learning Models for Classification of GPR B-Scan Images
(2022)
Recent advances in deep learning models have made them the state-of-the art method for image classification. Due to this success, they have been applied to many areas, such as satellite image processing, medical image ...
Detection of Basic Human Physical Activities With Indoor Outdoor Information Using Sigma-Based Features and Deep Learning
(2019)
The devices created on account of the developments in wearable technology are increasingly becoming a part of our daily lives. In particular, sensors have enhanced the usefulness of such devices. The aim of this paper is ...
Classification of Canine Maturity and Bone Fracture Time Based on X-Ray Images of Long Bones
(2021)
Veterinarians use X-rays for almost all examinations of clinical fractures to determine the appropriate treatment. Before treatment, vets need to know the date of the injury, type of the broken bone, and age of the dog. ...
Automated Tuberculosis Detection Using Pre-Trained CNN and SVM
(2021)
Tuberculosis (TB) is a dreadfully contagious and life-threatening disease if left untreated. Therefore, early and accurate diagnosis is critical for treatment. Today, invasive, expensive, or time-consuming tests are performed ...
A deep learning approach for sepsis monitoring via severity score estimation
(2021)
Background and objective: Sepsis occurs in response to an infection in the body and can progress to a fatal stage. Detection and monitoring of sepsis require multi-step analysis, which is time-consuming, costly and requires ...