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Št. zadetkov: 5
ǂA ǂdata-driven framework for intelligent product development of wearable health monitoring devices using deep learning
K. Wang, Z. Xiong, K. X. Li, X. Liu, G. J. Ji, Q. Y. Liu, Y. Han, B. Z. Li
Izvirni znanstveni članek
Oznake: inteligentni razvoj izdelkov;oblikovanje, ki temelji na podatkih;podpora pri inženirskem načrtovanju;umetna inteligenca;generativne nasprotniške mreže;globoko učenje;nosljive naprave za spremljanje zdravja;senzorični inženiring;razvoj izdelkov s pomočjo umetne inteligence;intelligent product development;data-driven design;engineering design support;artificial intelligence;generative adversarial networks;deep learning;wearable health monitoring devices;sensory engineering;AI-assisted product development;
The rapid growth of artificial intelligence (AI) has shifted the development of wearable health monitoring devices toward intelligent design. However, conventional approaches still rely heavily on experience, involve inefficient user requirement acquisition, and lack systematic support for innovatio ...
Leto: 2026 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Optimization of disassembly line balancing using an improved multi-objective genetic algorithm
Y. J. Wang, N. D. Wang, S. M. Cheng, X. C. Zhang, H. Y. Liu, J. L. Shi, Q. Y. Ma, M. J. Zhou
Izvirni znanstveni članek
Oznake: montaža;razstavljanje;uravnoteženje linij;večciljna optimizacija;obnova;predelava izdelka;življenjski cikel izdelka;izboljšani genetski algoritmi;assembly;disassembly;line balancing;multi-objective optimization;remanufacturing;product recovery;product life cycle;NP-hard problem;improved genetic algorithm;
Disassembly activities take place in various recovery operations including remanufacturing, recycling, and disposal. Product disassembly is an effective way to recycle waste products, and it is a necessary condition to make the product life cycle complete. According to the characteristics of the pro ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
ǂA ǂLyman continuum analysis of ∼100 galaxies at z[sub]spec∼3 in the Abell 2744 cluster field
Y. Liu, Maruša Bradač
Izvirni znanstveni članek
Oznake: galaksije;rdeči premik;nastanek zvezd;nastanek galaksij;galaxy evolution;high-redshift galaxies;star formation;
Identifying Lyman continuum (LyC) leakers at intermediate redshifts is crucial for understanding the properties of cosmic reionizers because the opacity of the intergalactic medium (IGM) prevents the direct detection of LyC emission from sources during the Epoch of Reionization (EoR). In this study, ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
A multi-objective feature selection and self-paced ensemble framework for semiconductor defect detection
H. Zheng, X. Gao, X. Yang, G. Jing, M. Yang, Y. Liu
Izvirni znanstveni članek
Oznake: strojno učenje;iskanje napak;preverjanje kakovosti;semiconductor manufacturing;defect detection;quality inspection;class imbalance;class overlap;multi-objective feature selection;self-paced ensemble;machine learning;
In semiconductor manufacturing, defect detection is commonly performed using high-dimensional process data. These data often exhibit class imbalance and class overlap, which create challenges for achieving reliable classification performance. To address these issues, this study proposes a multi-obje ...
Leto: 2025 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Recharging and transportation scheduling for electric vehicle battery under the swapping mode
A. Q. Huang, Y. Q. Zhang, Z. F. He, G. W. Hua, X. L. Shi
Izvirni znanstveni članek
Oznake: electric vehicle;battery recharging;battery swapping;battery logistics;transportation scheduling;
Electric vehicle battery recharging on the swapping mode has grown up as an important option other than the plug-in recharging mode in China, given that several auto giants have been dedicated in constructing their battery swapping systems. However, the lack of effective operational methods on batte ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Št. zadetkov: 5
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