Boosting precision crop protection towards agriculture 5.0 via machine learning and emerging technologies: A contextual review

GA Mesías-Ruiz, M Pérez-Ortiz, J Dorado… - Frontiers in Plant …, 2023 - frontiersin.org
Crop protection is a key activity for the sustainability and feasibility of agriculture in a current
context of climate change, which is causing the destabilization of agricultural practices and …

A survey on the recent advances of deep community detection

S Souravlas, S Anastasiadou, S Katsavounis - Applied Sciences, 2021 - mdpi.com
In the first days of social networking, the typical view of a community was a set of user
profiles of the same interests and likes, and this community kept enlarging by searching …

Deep learning techniques for community detection in social networks

L Wu, Q Zhang, CH Chen, K Guo, D Wang - IEEE Access, 2020 - ieeexplore.ieee.org
Graph embedding is an effective yet efficient way to convert graph data into a low
dimensional space. In recent years, deep learning has applied on graph embedding and …

[HTML][HTML] Adaptive fuzzy neural network PID algorithm for BLDCM speed control system

H Yin, W Yi, J Wu, K Wang, J Guan - Mathematics, 2021 - mdpi.com
Because of its simple structure, high efficiency, low noise, and high reliability, the brushless
direct current motor (BLDCM) has an irreplaceable role compared with other types of motors …

Ann-based performance prediction in mocs

B Bhowmik - International Symposium on Artificial Intelligence, 2022 - Springer
Due to high integration density and technology scaling, the manycore networks-on-chip
(NoCs) often experience higher evaluation time by traditional simulations for a set of …

Performance-driven X-architecture routing algorithm for artificial intelligence chip design in smart manufacturing

G Liu, Y Zhu, S Xu, H Tang, YC Chen - ACM Transactions on …, 2022 - dl.acm.org
The new 7-nm Artificial Intelligence (AI) chip is an important milestone recently announced
by the IBM research team, with a very important optimization goal of performance. This chip …

RISC-V graphics rendering instruction set extensions for embedded AI chips implementation

Y Zhou, X Jin, T Xiang - Proceedings of the 2020 2nd International …, 2020 - dl.acm.org
In this paper, we present graphics rendering instruction extension to RISC-V ISA. In order to
achieve high performance at low power consumption, the fragment rendering process is …

[PDF][PDF] A novel 3D mesh-based NoC architecture for performance improvement

N Habibi, MR Salehnamadi… - Majlesi Journal of …, 2022 - journals.iau.ir
Applying semiconductor technology, Network-on-Chips (NoCs) are designed on silicon
chips to expand on-chip communications. Three-dimensional (3D) mesh-based architecture …

Optimizing System-on-Chip Performance Using AI and SDN: Approaches and Challenges

M Alja'afreh, M Obaidat, A Karime… - … on Software Defined …, 2022 - ieeexplore.ieee.org
The advancement of modern multimedia and data-intensive classes of applications
demands the development of hardware that delivers better performance. Due to the …

METRO: A software-hardware co-design of interconnections for spatial DNN accelerators

Z Wang, G Sun, J Zhu, Z Zhou, Y Guo… - arXiv preprint arXiv …, 2021 - arxiv.org
Tiled spatial architectures have proved to be an effective solution to build large-scale DNN
accelerators. In particular, interconnections between tiles are critical for high performance in …