INDÚSTRIA 4.0: DESAFIOS E OPORTUNIDADES BP Santos, A Alberto, TDFM Lima, FMB Charrua-Santos Revista Produção e Desenvolvimento 4 (1), 111-124, 2018 | 293* | 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 | 267 | 2020 |
Is industry 5.0 a human-centred approach? a systematic review J Alves, TM Lima, PD Gaspar Processes 11 (1), 193, 2023 | 202 | 2023 |
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 | 98 | 2021 |
Industry 4.0: An Overwiew BP Santos, F Charrua-Santos, TM Lima ICMEEM 2018 - International Conference of Manufacturing Engineering and …, 2018 | 84* | 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 | 69 | 2022 |
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 | 58 | 2021 |
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 | 54 | 2023 |
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 | 52 | 2023 |
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 | 51 | 2018 |
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 | 49 | 2022 |
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 | 46 | 2020 |
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 | 44 | 2020 |
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 | 41 | 2021 |
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 | 39 | 2021 |
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 | 36 | 2023 |
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 | 36 | 2022 |
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 | 36 | 2020 |
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 | 35 | 2021 |
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 | 34 | 2022 |