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Št. zadetkov: 4
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)
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)
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)
Modern stereological evaluation in the aging human substantia nigra
Shuang Y Ma, Frank Michael Longo, Matias Röyttä, Yrjö Collan
Pregledni znanstveni članek
Oznake:
Quantitative estimation of neuronal numbers in the human substantia nigra (SN)can be achieved by a conventional single section (SS) count or by the moremodern stereological disector (DS) count. However, counting results from SS counts are potentially biased and might not accurately reffect the total ...
Leto: 2003 Vir: dLib.si Digitalna knjižnica Slovenije
Št. zadetkov: 4
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