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Št. zadetkov: 4
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)
Industrial multi-object detection for automotive battery manufacturing using a CBAM-enhanced YOLOv5 framework
Y. X. Li, H. Chen, L. Zhou
Izvirni znanstveni članek
Oznake: proizvodnja avtomobilskih akumulatorjev;industrijski računalniški vid;zaznavanje več objektov;zaznavanje predmetov v realnem času;globoko učenje;YOLOv5;modul pozornosti za konvolucijske bloke;dvostopenjsko izboljšanje značilnosti;izguba fokalne EIOU;
The mixing stage of automotive battery production requires reliable monitoring of raw material types, personnel actions, and correct tool use. However, accurate multi-scale object detection in complex scenes remains challenging because of background interference and the requirements of embedded depl ...
Leto: 2026 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
ǂA ǂmulti-criteria decision-making in turning process using the MAIRCA, EAMR, MARCOS and TOPSIS methods: A comparative study
D. D. Trung, H. X. Thinh
Izvirni znanstveni članek
Oznake: turning;material removal rate (MRR);surface roughness;multi-criteria decision-making (MCDM);Multi Attributive Ideal-Real Comparative Analysis (MAIRCA);Evaluation by an Area-based Method of Ranking (EAMR);Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS);Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS);entropy;Method based on the Removal Effects of Criteria (MEREC);
Multi-criteria decision-making is important and it affects the efficiency of a mechanical processing process as well as an operation in general. It is understood as determining the best alternative among many alternatives. In this study, the results of a multi-criteria decision-making study are pres ...
Leto: 2021 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
When core sorting and quality grading is beneficial to remanufacturers: Insights from analytical models
X. H. Cao, X. L. Shi, H. J. Lan, D. Huang
Izvirni znanstveni članek
Oznake: stroški;analitični modeli;optimizacija;remanufacturing;product (core) acquisition management;core sorting;quality grading;analytical models;cost-effectiveness;optimization;
In this paper, we study the core acquisition and remanufacturing problem in which the remanufactured products are produced from acquired cores with uncertain quality condition, and are used to satisfy customer demand. Decision-making models are developed to examine the potential value of core sortin ...
Leto: 2023 Vir: Digitalna knjižnica Univerze v Mariboru (DKUM)
Št. zadetkov: 4
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