Results 31 to 40 of about 78,918 (265)

Defect Detection Model Using CNN and Image Augmentation for Seat Foaming Process

Mathematics, 2023
In the manufacturing industry, which is facing the 4th Industrial Revolution, various process data are being collected from various sensors, and efforts are being made to construct more efficient processes using these data. Many studies have demonstrated
Nak-Hun Choi, Jung Woo Sohn, Jong-Seok Oh   +2 more
doaj   +1 more source

Revisiting unsupervised learning for defect prediction [PDF]

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017
Collecting quality data from software projects can be time-consuming and expensive. Hence, some researchers explore "unsupervised" approaches to quality prediction that does not require labelled data. An alternate technique is to use "supervised" approaches that learn models from project data labelled with, say, "defective" or "not-defective".
Wei Fu 0002, Tim Menzies
openaire   +2 more sources

Defects Prediction Method for Radiographic Images Based on Random PSO Using Regional Fluctuation Sensitivity

Sensors, 2023
This paper presents an advanced methodology for defect prediction in radiographic images, predicated on a refined particle swarm optimization (PSO) algorithm with an emphasis on fluctuation sensitivity.
Zhongyu Shang, Bing Li, Lei Chen, Lei Zhang   +3 more
doaj   +1 more source

Association Between Dinutuximab Beta Exposure and Post‐End‐of‐Treatment Survival in Neuroblastoma: A Weighted Patient‐Level Analysis of Three Clinical Studies

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives The association between exposure to dinutuximab beta (DB) and event‐free survival (EFS) or overall survival (OS) of neuroblastoma patients was assessed using data collected during three clinical trials (five cohorts). Methods A systematic review (March 2026) was conducted to identify relevant studies (prospective; registered DB ...
Przemysław Holko, Holger N. Lode, Alberto Garaventa, Carla Manzitti, Roberto Luksch, Dominique Valteau‐Couanet, Marion Gambart, John Anderson, Juliet Gray, Adela Canete, Lucas Moreno, Aleksandra Wieczorek, Cormac Owens, Shifra Ash, Isaac Yaniv, Genevieve Laureys, Hans Loibner, Katarzyna Śladowska, Ruth Ladenstein, Paweł Kawalec   +19 more
wiley   +1 more source

Dynamic Stylometry for Defect Prediction

, 2016
All metrics used by QAs to assess code quality describe the characteristics of a ready-made code. In this article we propose a novel, different approach which tries to catch the dynamics of the coding process. For this purpose we utilize some basic ideas from the science of stylometry.
Roman, Adam, Babiarz, Rafał
openaire   +2 more sources

A Population‐Based Study on Childhood Aplastic Anemia—Incidence, Outcomes, and Health‐Related Quality of Life

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Childhood aplastic anemia (AA) is a rare disease, and both the disease itself and its treatment cause significant morbidity. We aimed to determine the contemporary incidence of childhood AA in Finland, to compare the clinical characteristics of AA against inherited bone marrow failure syndromes (IBMFS) and refractory cytopenia of ...
Lauri‐Matti Kulmala, Riitta Niinimäki, Tytti Pokka, Anu Huurre, Liisa Järvelä, Sauli Palmu, Tuuli Pöyhönen, Pauliina Utriainen, Henri Aarnivala   +8 more
wiley   +1 more source

Phosphatidylinositol 4‐kinase as a target of pathogens—friend or foe?

FEBS Letters, EarlyView.
This graphical summary illustrates the roles of phosphatidylinositol 4‐kinases (PI4Ks). PI4Ks regulate key cellular processes and can be hijacked by pathogens, such as viruses, bacteria and parasites, to support their intracellular replication. Their dual role as essential host enzymes and pathogen cofactors makes them promising drug targets.
Ana C. Mendes, Guilherme M. Azevedo, Amanda P. Barcellos, Diana Bahia   +3 more
wiley   +1 more source

Predicting software defects with causality tests [PDF]

Journal of Systems and Software, 2014
Abstract In this paper, we propose a defect prediction approach centered on more robust evidences towards causality between source code metrics (as predictors) and the occurrence of defects. More specifically, we rely on the Granger causality test to evaluate whether past variations in source code metrics values can be used to forecast changes in ...
César Couto, Pedro Pires, Marco Túlio Valente, Roberto da Silva Bigonha, Nicolas Anquetil   +4 more
openaire   +2 more sources

Transferrin receptor 1‐mediated iron uptake supports thermogenic activation in human cervical‐derived adipocytes

FEBS Letters, EarlyView.
In this study, we found that human cervical‐derived adipocytes maintain intracellular iron level by regulating the expression of iron transport‐related proteins during adrenergic stimulation. Melanotransferrin is predicted to interact with transferrin receptor 1 based on in silico analysis.
Rahaf Alrifai, Mizuki Seo, Gyath Karadsheh, Fachrur Rizal Mahendra, Máté Á Demény, Ferenc Győry, János András Mótyán, László Fésüs, Endre Kristóf, Rini Arianti   +9 more
wiley   +1 more source

Building a Rule-Based Expert System to Enhance the Hard Disk Drive Manufacturing Processes

IEEE Access
The manufacturing of hard disk drives involves the intricate assembly of numerous components, making the testing process time-consuming and resource intensive.
Suppakrit Kirdponpattara, Pitikhate Sooraksa, Veera Boonjing   +2 more
doaj   +1 more source