Παρακολούθηση
Tânia M. Lima
Tânia M. Lima
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα ubi.pt
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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
288*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
2602020
Is industry 5.0 a human-centred approach? A systematic review
J Alves, TM Lima, PD Gaspar
Processes 11 (1), 193, 2023
2052023
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
992021
Industry 4.0: An Overwiew
BP Santos, F Charrua-Santos, TM Lima
ICMEEM 2018 - International Conference of Manufacturing Engineering and …, 2018
81*2018
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
692022
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
582023
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
582021
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
542023
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
512018
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
502022
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
472020
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
472020
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
412021
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
402021
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
392020
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
372021
Optimization of the production management of an upholstery manufacturing process using lean tools: A case study
E Santos, TM Lima, PD Gaspar
Applied Sciences 13 (17), 9974, 2023
362023
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
362022
Lean optimization techniques for improvement of production flows and logistics management: The case study of a fruits distribution center
AP Proença, PD Gaspar, TM Lima
Processes 10 (7), 1384, 2022
362022
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