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Št. zadetkov: 7
Analysis of circular economy practices in selected Austrian alpine destinations
Kuan-Lin Lu, Tanja Mihalič
Magistrsko delo
Oznake: turizem;krožno gospodarstvo;trajnostni razvoj;raziskave;analiza;primeri;Avstrija;tourism;circular development;sustainable development;research;analysis;cases;Austria;
Leto: 2022 Vir: Ekonomska fakulteta (UL EF)
ǂThe ǂspanning laceability on the faulty bipartite hypercube-like networks
Cheng-Kuan Lin, Yuan-Hsiang Teng, Jimmy J. M. Tan, Lih-Hsing Hsu, Dragan Marušič
Izvirni znanstveni članek
Oznake: Hamiltonian;Hamiltonian laceable;Hypercube networks;Hypercube-like network;Spanning laceability;
The spanning laceability on the faulty bipartite hypercube-like networks
Leto: 2013 Vir: Univerza na Primorskem (UP)
Anisotropic microstructural evolution of (001), (110) and (111) planes in SRR99 single-crystal superalloy
Xiaoli Zhang, Kuan Lei, Tingzhen Xin, Yishan Wu, Guiqun Liu
Izvirni znanstveni članek
Oznake: single-crystal superalloy;γ phase;γ' phase;dendrite morphology;eutectic;carbide;
Leto: 2025 Vir: Inštitut za kovinske materiale in tehnologije (IMT)
Quality information and knowledge
Kuan-Tsae Huang, Yang W. Lee, Richard Y. Wang
Ni določena
Oznake: kvaliteta;celovita kvaliteta;TQM;informatika;informacije;MIS;znanje;vodenje;manager;poslovodni delavci;proizvodi;kapital;človeški kapital;elektronsko poslovanje;meritve;organizacijski sistemi;kreativnost;ustvarjalnost;rešitve;potrošnik;mreže;infrastruktura;uporaba računalnika;računalniške mreže;WWW;Vodenje;Priročniki;Znanje vodenja;Poslovne informacije;Informacije;Informacijsko povezovanje;Management informacij;Merjenje učinkovitosti;Vodenje procesov;
Quality information and knowledge
Leto: 1999 Vir: Ekonomsko-poslovna fakulteta (UM EPF)
Using explainable AI to characterize features in the Mirai mammographic breast cancer risk prediction model
Yao Kuan Wang, Žan Klaneček, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Andrej Studen, Robert Jeraj, Hilde Bosmans
Izvirni znanstveni članek
Oznake: medicinsko slikanje;mamografija;rak dojk;ogroženost;umetna inteligenca;medical imaging;mammography;breast cancer;risk prediction;artificial intelligence;
Purpose To evaluate whether features extracted by Mirai can be aligned with mammographic observations and contribute meaningfully to the prediction of breast cancer risk. Materials and Methods This retrospective study examined the correlation of 512 Mirai features with mammographic observations i ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Sensitivity of a deep-learning-based breast cancer risk prediction model
Žan Klaneček, Yao Kuan Wang, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Brayden Schott, Alison Deatsch, Andrej Studen, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Robert Jeraj
Izvirni znanstveni članek
Oznake: rak dojke;tveganja;globoko ležeči tumorji;mamografija;breast cancer risk;deep learning;mammography;
Objective. When it comes to the implementation of deep-learning based breast cancer risk (BCR) prediction models in clinical settings, it is important to be aware that these models could be sensitive to various factors, especially those arising from the acquisition process. In this work, we investig ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Impact of pectoral muscle removal on deep-learning-based breast cancer risk prediction
Žan Klaneček, Yao Kuan Wang, Tobias Wagner, Lesley Cockmartin, Nicholas Marshall, Brayden Schott, Alison Deatsch, Andrej Studen, Katja Jarm, Mateja Krajc, Miloš Vrhovec, Hilde Bosmans, Robert Jeraj
Izvirni znanstveni članek
Oznake: dejavniki tveganja;rak dojke;kalibracija;mamografija;breast cancer risk;calibration;mammography;
State-of-the-art Breast Cancer Risk (BCR) prediction models have been originally trained on mammograms with pectoral muscle (PM) included. This study investigated whether excluding PM during training/fine-tuning improves the model's BCR discrimination performance, calibration, and robustness.&xD;&xD ...
Leto: 2025 Vir: Fakulteta za matematiko in fiziko (UL FMF)
Št. zadetkov: 7
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