Method to Assess the Match between Clients' Input and Decoupling Points in Customized Building Projects

Autor: Rocha, CGD, Anzanello, MJ, Gerchman, M

Clients' input (i.e., design drawings and specifications containing clients' desired changes) is a key resource for task completion often missing in customized building projects, leading to waste such as additional movement, increase in work in progr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od_______363::91846925b9970757e1ee929d01307b40
https://hdl.handle.net/10453/161284

Decision analysis framework for predicting no-shows to appointments using machine learning algorithms.

Autor: Deina C; Department of Industrial Engineering, Federal University of Rio Grande do Sul, Av. Osvaldo Aranha, 99, 5° Andar, Porto Alegre, 90035-190, Brazil. caroldeina@gmail.com., Fogliatto FS; Department of Industrial Engineering, Federal University of Rio Grande do Sul, Av. Osvaldo Aranha, 99, 5° Andar, Porto Alegre, 90035-190, Brazil., da Silveira GJC; Haskayne School of Business, University of Calgary, 2500 University Dr NW, Calgary, AB, T2N 1N4, Canada., Anzanello MJ; Department of Industrial Engineering, Federal University of Rio Grande do Sul, Av. Osvaldo Aranha, 99, 5° Andar, Porto Alegre, 90035-190, Brazil.

Publikováno v: BMC health services research [BMC Health Serv Res] 2024 Jan 05; Vol. 24 (1), pp. 37. Date of Electronic Publication: 2024 Jan 05.

Uncovering the phenolic diversity of Guabiju fruit: LC-MS/MS-based targeted metabolomics approach.

Autor: Spinelli LV; Food Science and Technology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil., Anzanello MJ; Department of Industrial Engineering, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brazil., Areze da Silva Santos R; Department of Horticulture and Forestry, Agronomy, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil., Carboni Martins C; Food Science and Technology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil., Freo Saggin J; Food Science and Technology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil., Aparecida Silva Da Silva M; Department of Horticulture and Forestry, Agronomy, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil., Rodrigues E; Food Science and Technology Institute, Federal University of Rio Grande do Sul (UFRGS), Porto Alegre, Brazil. Electronic address: eliseu.rodrigues@ufrgs.br.

Publikováno v: Food research international (Ottawa, Ont.) [Food Res Int] 2023 Nov; Vol. 173 (Pt 1), pp. 113236. Date of Electronic Publication: 2023 Jul 14.

Combining wavelength importance ranking to the random forest classifier to analyze multiclass spectral data.

Autor: de Abreu Fontes J; Departamento de Engenharia de Produção e Transportes - Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha, 99 - 5° andar, Porto Alegre, RS, Brazil. Electronic address: juliana.abreu.fontes@gmail.com., Anzanello MJ; Departamento de Engenharia de Produção e Transportes - Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha, 99 - 5° andar, Porto Alegre, RS, Brazil., Brito JBG; Departamento de Engenharia de Produção e Transportes - Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha, 99 - 5° andar, Porto Alegre, RS, Brazil., Bucco GB; Escola de Administração - Universidade Federal do Rio Grande do Sul, Washington Luiz, 855, Porto Alegre, RS, Brazil., Fogliatto FS; Departamento de Engenharia de Produção e Transportes - Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha, 99 - 5° andar, Porto Alegre, RS, Brazil., Puglia FDP; Departamento de Engenharia de Produção e Transportes - Universidade Federal do Rio Grande do Sul, Av. Osvaldo Aranha, 99 - 5° andar, Porto Alegre, RS, Brazil.

Publikováno v: Forensic science international [Forensic Sci Int] 2021 Nov; Vol. 328, pp. 110998. Date of Electronic Publication: 2021 Sep 14.

Development and Validation of a Predictive Model of Success in Bariatric Surgery.

Autor: Blume CA; Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil., Brust-Renck PG; Graduate School of Psychology, Universidade do Vale do Rio dos Sinos, São Leopoldo, RS, Brazil.; Industrial & Transportation Eng. Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil., Rocha MK; Industrial & Transportation Eng. Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil.; Center of Engineering, Universidade Federal Rural do Semi-Árido, Mossoró, RN, Brazil., Leivas G; School of Medicine, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil., Neyeloff JL; National Institute of Science and Technology for Health Technology Assessment (IATS), Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil., Anzanello MJ; Industrial & Transportation Eng. Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil., Fogliatto FS; Industrial & Transportation Eng. Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil., Bahia LR; National Institute of Science and Technology for Health Technology Assessment (IATS), Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil., Telo GH; School of Medicine/Graduate Program in Medicine and Health Sciences, Pontifícia Universidade Católica do Rio Grande do Sul, Porto Alegre, RS, Brazil., Schaan BD; Post-Graduate Program in Medical Sciences: Endocrinology, Universidade Federal do Rio Grande do Sul, Porto Alegre, RS, Brazil. bschaan@hcpa.edu.br.; National Institute of Science and Technology for Health Technology Assessment (IATS), Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil. bschaan@hcpa.edu.br.; Endocrine Division, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brazil. bschaan@hcpa.edu.br.

Publikováno v: Obesity surgery [Obes Surg] 2021 Mar; Vol. 31 (3), pp. 1030-1037. Date of Electronic Publication: 2020 Nov 14.