Results 31 to 40 of about 1,994,533 (253)

A Multi-Scale AI-Driven Optimization Framework for Industrial Product Design

Journal of Engineering, Project, and Production Management
Metal Additive Manufacturing (AM) has emerged as a crucial technology for fabricating high-performance, lightweight components for aerospace, biomedical, and energy applications.
Yongbo He
doaj   +1 more source

Software fault prediction based on change metrics using hybrid algorithms: An empirical study

Journal of King Saud University: Computer and Information Sciences, 2020
Quality of the developed software depends on its bug free operation. Although bugs can be introduced in any phase of the software development life-cycle but their identification in earlier phase can lead to reduce the allocation cost of testing and ...
Wasiur Rhmann, Babita Pandey, Gufran Ansari, D.K. Pandey   +3 more
doaj   +1 more source

A Survey on Transfer Learning for Cross-Project Defect Prediction

IEEE Access
Software defect prediction involves predicting which components in a software program, like classes or functions, are likely to have defects, based on metrics that describe those components.
Bruno Sotto-Mayor, Meir Kalech
doaj   +1 more source

Early Software Defects Density Prediction: Training the International Software Benchmarking Cross Projects Data Using Supervised Learning

IEEE Access, 2023
Recent reviews of the literature indicate the need for empirical studies on cross-project defect prediction (CPDP) that would allow aggregation of the evidence and improve predictive performance.
Touseef Tahir, Cigdem Gencel, Ghulam Rasool, Tariq Umer, Jawad Rasheed, Sook Fern Yeo, Taner Cevik   +6 more
doaj   +1 more source

Conserved binding mode but diverse interfaces of MreC‐PBP2 interactions

FEBS Letters, EarlyView.
The crystal structure of abMreC reveals a conserved two β‐barrel architecture and provides structural insights into its role within the bacterial elongasome. The abMreC–abPBP2 complex model identifies the molecular basis of MreC‐mediated PBP2 recognition, contributing to the regulation of peptidoglycan synthesis.
Hyunseok Jang, Hyo Been Jin, Chang Min Kim, So Yeon Lee, Hyun Ho Park   +4 more
wiley   +1 more source

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

An attribute selection process for software defect prediction

, 2014
In software quality research, software defect prediction is a key topic. The characteristics of software attributes influences the performance and effectiveness of the defect prediction model.
Siddik, Md.S., Rahman, Md.H., Shoyaib, M., Gias, A.U., Khan, J.I., Khaled, S.M.   +5 more
core   +1 more source

Autophagy and mitophagy in pancreatic β‐cell homeostasis and their involvement in diabetes pathophysiology

FEBS Letters, EarlyView.
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee, Mingming Tong, Anna L. Gloyn   +2 more
wiley   +1 more source

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

From junk to function — How weak selection in eukaryotes builds new parts and drives genomic complexity

FEBS Letters, EarlyView.
How do genomes gain new functional parts? In eukaryotes, which tend to evolve under weak selection, much of the genome is junk. Palazzo and Qiu borrow the logic of Markov chains to show how non‐functional DNA becomes functional through the appearance of intermediate states, which arise due to epistasis, buffering, and biochemical messiness, allowing ...
Alexander F. Palazzo, Yi Qiu
wiley   +1 more source