Results 251 to 260 of about 2,867,542 (311)
Some of the next articles are maybe not open access.

Data-Driven Monitoring and Diagnosing of Abnormal Furnace Conditions in Blast Furnace Ironmaking: An Integrated PCA-ICA Method

IEEE transactions on industrial electronics (1982. Print), 2021
Principal component analysis (PCA) and independent component analysis (ICA) have been widely used for process monitoring in process industry. Since the operation data of blast furnace (BF) ironmaking process contain both non-Gaussian distribution data ...
P. Zhou   +5 more
semanticscholar   +1 more source

Diagnosing Diagnoses

Archives of General Psychiatry, 1989
With every issue of theArchives, the reader is inundated with psychiatric research: new treatments, new biological abnormalities, new diagnostic methods, new diagnoses—the list seems endless. It is difficult to conceive of anyone, except, of course, our dedicated Editor, who bothers to read every article in every issue.
J K, Hsiao, J J, Bartko, W Z, Potter
openaire   +2 more sources

Diagnosing Angioedema

Immunology and Allergy Clinics of North America, 2013
Angioedema usually occurs within the setting of allergic diseases or urticaria, but situations occur in which angioedema itself represents a disease, such as in hereditary angioedema. Evaluation of patients for recurrent angioedema without wheals must take into account both specific clinical signs and symptoms and specialized laboratory testing.
M. Cicardi, A. Zanichelli
openaire   +2 more sources

Relating Diagnosability, Strong Diagnosability and Conditional Diagnosability of Strong Networks

IEEE Transactions on Computers, 2014
An interconnection network’s diagnosability is an important measure of its self-diagnostic capability. Based on the classical notion of diagnosability, strong diagnosability and conditional diagnosability were proposed later to better reflect the networks’ self-diagnostic capability under more realistic assumptions.
Qiang Zhu 0003, Guodong Guo, Dajin Wang
openaire   +2 more sources

On the diagnosability problem for a general model of diagnosable systems

Information Sciences, 1987
This paper presents a new model of diagnosable systems. It has been shown that most of the existing models of diagnosable systems can be viewed as special cases of this model. A general solution of the problem of diagnosability of a system under this model is presented with the assumption that all failures in the system are of permanent kind.
Abhijit Sengupta, Arunabha Sen
openaire   +3 more sources

Diagnosing Performance Issues in Microservices with Heterogeneous Data Source

2021 IEEE Intl Conf on Parallel & Distributed Processing with Applications, Big Data & Cloud Computing, Sustainable Computing & Communications, Social Computing & Networking (ISPA/BDCloud/SocialCom/SustainCom), 2021
Microservices architecture is vulnerable to performance issues due to its highly fine-grained decomposition of an application. To diagnose performance issues in microservices, existing works utilize system metrics as the specific indicator and do a lot ...
Chuanjia Hou   +4 more
semanticscholar   +1 more source

Diagnosing Undernutrition

Clinics in Geriatric Medicine, 2002
Because of its wide prevalence and its grave consequences on the health of older persons, malnutrition requires immediate attention. Physicians in general have been described as being nutritionally blind in their slowness to recognize undernutrition. A high degree of suspicion, a thorough history and physical examination, and pertinent laboratory data ...
M Louay, Omran, Pascale, Salem
openaire   +2 more sources

Popular press diagnoses and psychiatric diagnoses

Medical Hypotheses, 1996
The symptom spectra of several 'popular press' diagnoses are examined and compared to Diagnostic and Statistical Manual of Mental Disorders-IIIR criteria for somatization disorder, depression, and generalized anxiety disorder. While there is much overlap, there are clear distinctions, and these psychiatric terms do not adequately coincide with the ...
openaire   +2 more sources

Diagnosing of disease using machine learning

, 2021
The role of machine learning in the healthcare industry is inevitable due to its power to use in disease detection and management. Disease diagnosis using machine-learning techniques can enhance the quickness of decision-making, and it can reduce the ...
Pushpa Singh   +3 more
semanticscholar   +1 more source

Diagnosing Alcoholism

Psychiatric Services, 1983
Although the average physician can generally expect to see at least one alcoholic everyday, alcoholism is one of the most poorly diagnosed of the common illnesses. Alcoholism has supplanted syphilis as the great imitator of other diseases and produces measurable damage in every bodily system.
openaire   +2 more sources

Home - About - Disclaimer - Privacy