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LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips.
Sensors (Basel)
January 2025
Mechnical and Vehicle Engineering, Hunan University, Changsha 411082, China.
Chip defect detection is a crucial aspect of the semiconductor production industry, given its significant impact on chip performance. This paper proposes a lightweight neural network with dual decoding paths for LED chip segmentation, named LDDP-Net. Within the LDDP-Net framework, the receptive field of the MobileNetv3 backbone is modified to mitigate information loss.
View Article and Find Full Text PDFData Fusion Applied to the Leader-Based Bat Algorithm to Improve the Localization of Mobile Robots.
Sensors (Basel)
January 2025
Department of Electrical Engineering, Universidade Federal do Espírito Santo, Vitória 29075-910, ES, Brazil.
The increasing demand for autonomous mobile robots in complex environments calls for efficient path-planning algorithms. Bio-inspired algorithms effectively address intricate optimization challenges, but their computational cost increases with the number of particles, which is great when implementing algorithms of high accuracy. To address such topics, this paper explores the application of the leader-based bat algorithm (LBBA), an enhancement of the traditional bat algorithm (BA).
View Article and Find Full Text PDFStrategic Responses to Employee Well-Being Issues in VUCA (Volatile, Uncertain, Complex, and Ambiguous) Conditions: Expanding the JD-R (Job Demands-Resources) Model with Job Crafting.
Int J Environ Res Public Health
December 2024
Department of Innovation & Technology Management, Management Center Innsbruck, 6020 Innsbruck, Austria.
Current work environments, driven by globalization, demographic changes, and digitalization, demand substantial adaptation, which leads to decreased employee well-being. While occupational psychology research has identified supportive mechanisms, it often lacks a deepened understanding of how interventions function. This study aims to analyze the impacts of VUCA contexts and leadership behavior on job crafting, focusing on white-collar workers.
View Article and Find Full Text PDFClinically oriented automatic three-dimensional enamel segmentation via deep learning.
BMC Oral Health
January 2025
Center of Digital Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices, No.22, Zhongguancun South Avenue, Haidian District, Beijing, 100081, PR China.
Background: Establishing accurate, reliable, and convenient methods for enamel segmentation and analysis is crucial for effectively planning endodontic, orthodontic, and restorative treatments, as well as exploring the evolutionary patterns of mammals. However, no mature, non-destructive method currently exists in clinical dentistry to quickly, accurately, and comprehensively assess the integrity and thickness of enamel chair-side. This study aims to develop a deep learning work, 2.
View Article and Find Full Text PDFBoy's love fans versus non-fans in the sexual identity and neural response in the digital age's young females.
BMC Psychol
January 2025
Institute of Psychology and Behavior, Henan University, Kaifeng, 475001, China.
With the omnipresence of online social media, Boys' Love (BL) culture has found a burgeoning audience among young females. However, we know very little about the audience of this online cultural phenomena, also the potential implications of BL culture to female remain under-explored. Study 1 conducted a survey to investigate the BL audience's demography data and attitudes to homosexual ect.
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