Roberto Marani
Research Interests
Roberto Marani has a total of 129 co-authors. Here are the top co-authors by number of shared publications:
- Anna Gina Perri
Polytechnic University of Bari
50 shared publications - Grazia Cicirelli
Institute of Intelligent Industrial Technologies and Systems for Advanced Manufacturing, National Research Council of Italy, Bari, Italy
12 shared publications - Marco Grande
Department of Electrical and Information Engineering, Politecnico di Bari, 70125 Bari, Italy
12 shared publications Gennaro Gelao
Polytechnic University of Bari, ITALY Electronic Devices Laboratory Department of Electrical and Information Engineering
11 shared publicationsTiziana D'ORazio
Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing (STIIMA), Italian Council of National Research (CNR), Italy
11 shared publications- Tiziana D'Orazio
Institute of Intelligent Industrial Systems and Technologies for Advanced Manufacturing (STIIMA), Italian Council of National Research (CNR), Italy
11 shared publications
Latest Publications
- 30 September 2025
- Published by Wiley in International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
- Vol. 38 (5)
Analysis, Simulation and Design of Ternary Logic Circuits Based on CNTFETs in Verilog‐A
The field of portable electronics and smart devices has seen a significant shift toward multi‐valued logic (MVL), especially ternary logic, due to its potential to reduce circuit complexity and power consumption. This paper shows how Carbon Nanotubes FETs (CNTFETs) can be used in the design of ternary logic gates, which is a promising alternative to the conventional binary logic design. In particular, we propose a procedure to design CNTFET‐based NOR/NAND gates and a Decoder, all in ternary logic, and the proposed method allows us to evaluate the propagation delay. Comparing the proposed design with the existing design, the delay times are reduced by approximately 80%. Moreover, the main novelty is that in this paper all simulations are performed in Verilog‐A, thus avoiding the problems presented in SPICE. The obtained results are encouraging and demonstrate that CNTFET‐based ternary logic gates can be a viable approach for the design of low‐power, high‐speed circuits.
- 30 September 2025
- Published by Wiley in International Journal of Numerical Modelling: Electronic Networks, Devices and Fields
- Vol. 38 (5)
Analysis, Simulation and Design of Ternary Logic Circuits Based on CNTFETs in Verilog‐A
The field of portable electronics and smart devices has seen a significant shift toward multi‐valued logic (MVL), especially ternary logic, due to its potential to reduce circuit complexity and power consumption. This paper shows how Carbon Nanotubes FETs (CNTFETs) can be used in the design of ternary logic gates, which is a promising alternative to the conventional binary logic design. In particular, we propose a procedure to design CNTFET‐based NOR/NAND gates and a Decoder, all in ternary logic, and the proposed method allows us to evaluate the propagation delay. Comparing the proposed design with the existing design, the delay times are reduced by approximately 80%. Moreover, the main novelty is that in this paper all simulations are performed in Verilog‐A, thus avoiding the problems presented in SPICE. The obtained results are encouraging and demonstrate that CNTFET‐based ternary logic gates can be a viable approach for the design of low‐power, high‐speed circuits.
- Open Access
- 5 August 2024
- Published by Elsevier in Optics and Lasers in Engineering
- Vol. 182
Influence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP
- 5 August 2024
- Published by Elsevier in Optics and Lasers in Engineering
- Vol. 182
Open AccessInfluence of lock-in thermography set-up parameters on the capability of a temporal convolutional neural network to characterize defects in a CFRP
- 12 June 2024
- Published by Springer Nature
- p. 204-212
Multi-class and Multi-label Classification of an Assembly Task in Manufacturing
- 12 June 2024
- Published by Springer Nature
- p. 204-212
Multi-class and Multi-label Classification of an Assembly Task in Manufacturing
- 12 June 2024
- Published by Springer Nature
- p. 1-8
Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards
- 12 June 2024
- Published by Springer Nature
- p. 1-8
Taking Advantage of Depth Information for Semantic Segmentation in Field-Measured Vineyards
- 14 February 2024
- Published by Springer Nature
- p. 156-173
Continuous Action Recognition in Manufacturing Contexts by Deep Graph Convolutional Networks
- 14 February 2024
- Published by Springer Nature
- p. 156-173
Continuous Action Recognition in Manufacturing Contexts by Deep Graph Convolutional Networks
- Open Access
- 12 February 2024
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 218
Biomass characterization with semantic segmentation models and point cloud analysis for precision viticulture
- 12 February 2024
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 218
Open AccessBiomass characterization with semantic segmentation models and point cloud analysis for precision viticulture
- 2 December 2023
- Published by World Scientific Pub Co Pte Ltd in International Journal of Nanoscience
- Vol. 23 (01)
Design of CNTFET-Based Electronic Circuits: A Review
In this review, we present some designs of CNTFET-based circuits, already proposed by us, and critically examine them here. For some of these, we compare the performance of proposed circuits both in CNTFET and CMOS technology. For the CNTFET model, we use a compact, semi-empirical model, already proposed by us and briefly recalled, while, for the MOSFET model, we use the BSIM4 one of the ADS library. Moreover in some design examples, we compare our results with those obtained using the Stanford model. All simulations are carried out using the software advanced design system (ADS), which is compatible with the Verilog-A programming language.
- 2 December 2023
- Published by World Scientific Pub Co Pte Ltd in International Journal of Nanoscience
- Vol. 23 (01)
Design of CNTFET-Based Electronic Circuits: A Review
In this review, we present some designs of CNTFET-based circuits, already proposed by us, and critically examine them here. For some of these, we compare the performance of proposed circuits both in CNTFET and CMOS technology. For the CNTFET model, we use a compact, semi-empirical model, already proposed by us and briefly recalled, while, for the MOSFET model, we use the BSIM4 one of the ADS library. Moreover in some design examples, we compare our results with those obtained using the Stanford model. All simulations are carried out using the software advanced design system (ADS), which is compatible with the Verilog-A programming language.
- Open Access
Azure Kinect performance evaluation for human motion and upper limb biomechanical analysis
- 27 July 2023
- Published by Walter de Gruyter GmbH
- p. 409-414
Data augmentation techniques for grape bunch segmentation in natural images
Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance ...
- 27 July 2023
- Published by Walter de Gruyter GmbH
- p. 409-414
Data augmentation techniques for grape bunch segmentation in natural images
Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance ...
- 27 July 2023
- Published by Walter de Gruyter GmbH
- p. 385-392
Generalization of deep learning models applied to semantic segmentation of in-field natural images in vineyards
Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance ...
- 27 July 2023
- Published by Walter de Gruyter GmbH
- p. 385-392
Generalization of deep learning models applied to semantic segmentation of in-field natural images in vineyards
Precision agriculture is a reality in agriculture and is playing a key role as the industry comes to terms with the environment, market forces, quality requirements, traceability, vehicle guidance ...