A Framework for Taxonomy Based Testing Using Classification of Defects in Health Software-SW91Taxonomy based testing is an efficient approach to find software defects at earlier phases of medical device software development. It allows the creation of goal oriented test cases while brainstorming test ...
Using aprocess-based approach, we have developed a method for detecting defects in pharmacotherapy. We have analyzed the prospects of using this approach to research the quality of pharmacotherapy in health care and the formation of national programs to improve the quality of care....
3D CNN is an extension of 2D CNN that has achieved significant success in image recognition tasks. In this study, we evaluated the 3D version of Resnet, a popular off-the-shelf model. However, the 3D version of CNN has practical challenges that need to be addressed. One major challenge i...
With the purpose of overcoming the problem of low accuracy of PEC in the cracks classification, a new feature, termed as frequency spectrum separating point, is proposed to enhance the accuracy in classification of defects. The agreement between theory and experiment shows that the present method ...
L. et al. Identification of genes periodically expressed in the human cell cycle and their expression in tumors. Mol. Biol. Cell 13, 1977–2000 (2002). CAS PubMed PubMed Central Google Scholar Timms, K. M. et al. Association of BRCA1/2 defects with genomic scores predictive of DNA ...
These severely influence plant health, structure quality, production, quantity, and the economy. One of the highly complex tasks regarding plant protection is the timely identification of plant symptoms, pests, and diseases [4]. Traditional approaches used in underdeveloped or developing nations are ...
We sought to formulate a novel classification system of pelvic reconstruction using 3D-printed custom-made hemipelvic endoprosthesis, based on morphological characteristics of pelvic defects (Fig. 1d). Our study aims to propose this classification, describe surgical approaches and techniques for each subt...
This work examines the application of machine learning (ML) algorithms to evaluate dissolved gas analysis (DGA) data to quickly identify incipient faults in oil-immersed transformers (OITs). Transformers are pivotal equipment in the transmission and dist
Therefore, the present work aims to review, synthesize and summarize the available data regarding how ML has been used in coffee production and marketing in classification activities, which encompass the classification of defects, roasting, maturation, and sensory characteristics of coffee beans and leaf...
The uneven brightness exists in the hyperspectral image, which still interfered with the detection of apple surface defects. Most quality inspections of fruits can be achieved with traditional machine vision based on color cameras. Li et al.20 realized the automatic detection of citrus fruit surface...