Search
Search Results
-
Conventional Methods for Fault Diagnosis
Designers have to be prepared for the scenario where chips do not work as intended or do not meet performance expectations after they are fabricated....
-
Overview of Fault Diagnosis Methods for Top Drive System
Top drive system (TDS) is an important equipment in drilling operation, and its normal operation plays a crucial role in drilling and downhole...
-
Supervised SVM Based Intelligent Fault Diagnosis Methods
As a significant type of machine learning, supervised learning method is apt at learning from well-labeled training data and it is widely used in...
-
Nanobiomaterials and Electrochemical Methods for Cancer Diagnosis
Cancer is known as one of the most mortal diseases in the world. According to the death ratio, the cancer is listed as prostate, pancreatic, breast,...
-
Different Methods of Microscopic and Bacteriological Diagnosis of Tuberculosis
Tuberculosis (TB) remains one of the largest preventable causes of death worldwide with an estimated 1.6 million deaths and ten million infections...
-
Current methods for contactless optical patient diagnosis: a systematic review
Many countries around the world face a shortage of medical personnel, leading to work overload or even burnout. This calls for political and...
-
The journey of lung cancer patients from symptoms to diagnosis in Greece. A mixed methods approach
The early diagnosis of lung cancer improves the probability of successful treatment. However, patients and physicians face several difficulties that...
-
Semi-supervised Learning Based Intelligent Fault Diagnosis Methods
In practical industrial application, it is usually difficult to obtain sufficient labelled data due to the high cost of manual marking labels, which...
-
Do CRISPR-based disease diagnosis methods qualify as point-of-care diagnostics for plant diseases?
Effective plant disease management calls for a rapid, precise, and a convenient field-deployable method for early diagnosis of phytopathogens,...
-
Review of Abnormality Detection and Fault Diagnosis Methods for Lithium-Ion Batteries
Electric vehicles are develo** prosperously in recent years. Lithium-ion batteries have become the dominant energy storage device in electric...
-
Diagnosis of Parkinson Disease Using Ensemble Methods for Class Imbalance Problem
Parkinson disease (PD) is the most prevalent degenerative neurological disorders that is incurable. Early PD diagnosis is essential in order to...
-
Recent application of Raman spectroscopy in tumor diagnosis: from conventional methods to artificial intelligence fusion
Raman spectroscopy, as a label-free optical technology, has widely applied in tumor diagnosis. Relying on the different Raman technologies,...
-
Comparison of Methods in the Serologic Diagnosis of Cystic Echinococcosis
PurposeCystic echinococcosis (CE) is caused by the larval form of Echinococcus granulosus. Clinical, radiologic, pathologic, and serologic findings...
-
Clinical values of different specimen preparation methods for the diagnosis of lung cancer by EBUS-TBNA
Background and objectiveEBUS-TBNA has emerged as an important minimally invasive procedure for the diagnosis and staging of lung cancer. Our...
-
Integration of the Methods of System Analysis and Cognitive Graphics in the Early Diagnosis of Vision Pathology
AbstractThe paper considers the possibilities of computerization of early diagnosis of complex vision pathologies by an example of retinal diseases....
-
Functional and structural MRI based obsessive-compulsive disorder diagnosis using machine learning methods
BackgroundThe success of neuroimaging in revealing neural correlates of obsessive-compulsive disorder (OCD) has raised hopes of using magnetic...
-
Comparison of diagnosis-based risk adjustment methods for episode-based costs to apply in efficiency measurement
BackgroundThe recent rising health spending intrigued efficiency and cost-based performance measures. However, mortality risk adjustment methods are...
-
A Review of Fault Diagnosis Methods for Marine Electric Propulsion System
With the rapid development of power electronics technology and the proposal of intelligent ships, electric propulsion systems on ships are becoming...
-
Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
A number of parametric and nonparametric methods for estimating cognitive diagnosis models (CDMs) have been developed and applied in a wide range of...
-
Application of Ensemble Methods in Medical Diagnosis
Medical diagnoses with machine learning faces challenges of a high false negative rate, which can pose a threat to patients’ lives. Moreover, ML...