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Tânia M. Lima
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INDÚSTRIA 4.0: DESAFIOS E OPORTUNIDADES
BP Santos, A Alberto, TDFM Lima, FMB Charrua-Santos
Revista Produção e Desenvolvimento 4 (1), 111-124, 2018
258*2018
Industry 4.0 and Society 5.0: opportunities and threats
AG Pereira, TM Lima, FC Santos
International Journal of Recent Technology and Engineering 8 (5), 3305-3308, 2020
2432020
Is industry 5.0 a human-centred approach? a systematic review
J Alves, TM Lima, PD Gaspar
Processes 11 (1), 193, 2023
1192023
Crop yield estimation using deep learning based on climate big data and irrigation scheduling
K Alibabaei, PD Gaspar, TM Lima
Energies 14 (11), 3004, 2021
822021
Industry 4.0: An Overwiew
BP Santos, F Charrua-Santos, TM Lima
ICMEEM 2018 - International Conference of Manufacturing Engineering and …, 2018
75*2018
Ergonomic and psychosocial factors and musculoskeletal complaints in public sector administration–a joint monitoring approach with analysis of association
TM Lima, DA Coelho
International journal of industrial ergonomics 66, 85-94, 2018
492018
Advantages and difficulties of implementing Industry 4.0 technologies for labor flexibility
DV Enrique, JCM Druczkoski, TM Lima, F Charrua-Santos
Procedia Computer Science 181, 347-352, 2021
482021
A review of the challenges of using deep learning algorithms to support decision-making in agricultural activities
K Alibabaei, PD Gaspar, TM Lima, RM Campos, I Girão, J Monteiro, ...
Remote Sensing 14 (3), 638, 2022
442022
What is the role of active packaging in the future of food sustainability? A systematic review
J Alves, PD Gaspar, TM Lima, PD Silva
Journal of the Science of Food and Agriculture 103 (3), 1004-1020, 2023
422023
Irrigation optimization with a deep reinforcement learning model: Case study on a site in Portugal
K Alibabaei, PD Gaspar, E Assunção, S Alirezazadeh, TM Lima
Agricultural Water Management 263, 107480, 2022
412022
Artificial intelligence for product quality inspection toward smart industries: quality control of vehicle non-conformities
A Chouchene, A Carvalho, TM Lima, F Charrua-Santos, GJ Osório, ...
2020 9th international conference on industrial technology and management …, 2020
412020
Cognitive manufacturing in industry 4.0 toward cognitive load reduction: A conceptual framework
AV Carvalho, A Chouchene, TM Lima, F Charrua-Santos
Applied System Innovation 3 (4), 55, 2020
382020
Innovative processes in smart packaging. A systematic review
CM Fernandez, J Alves, PD Gaspar, TM Lima, PD Silva
Journal of the Science of Food and Agriculture 103 (3), 986-1003, 2023
372023
Modeling soil water content and reference evapotranspiration from climate data using deep learning method
K Alibabaei, PD Gaspar, TM Lima
Applied Sciences 11 (11), 5029, 2021
342021
Prevention of musculoskeletal disorders (MSDs) in office work: A case study
TM Lima, DA Coelho
Work 39 (4), 397-408, 2011
332011
Fostering awareness on environmentally sustainable technological solutions for the post-harvest food supply chain
CM Fernandez, J Alves, PD Gaspar, TM Lima
Processes 9 (9), 1611, 2021
312021
Society 5.0 as a result of the technological evolution: Historical approach
AG Pereira, TM Lima, F Charrua-Santos
Human Interaction and Emerging Technologies: Proceedings of the 1st …, 2020
312020
Environmental risk assessment and management in industry 4.0: a review of technologies and trends
J Lemos, PD Gaspar, TM Lima
Machines 10 (8), 702, 2022
292022
Working conditions under multiple exposures: A cross-sectional study of private sector administrative workers
DA Coelho, CSD Tavares, ML Lourenço, TM Lima
Work 51 (4), 781-789, 2015
262015
The synergic relationship between industry 4.0 and lean management: Best practices from the literature
BP Santos, DV Enrique, VBP Maciel, TM Lima, F Charrua-Santos, ...
Management and Production Engineering Review 12 (1), 94-107, 2021
252021
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