[PDF][PDF] AI-Enhanced lifecycle assessment of renewable energy systems

KE Bassey, AR Juliet, AO Stephen - Engineering Science & …, 2024 - researchgate.net
Bassey, Juliet, & Stephen, P. No. 2082-2099 Page 2083 accuracy. Key findings demonstrate
that AI-enhanced LCA models significantly improve the precision and depth of …

Integrating machine learning and biosensors in microfluidic devices: a review.

G Antonelli, J Filippi, M D'Orazio, G Curci… - Biosensors and …, 2024 - Elsevier
Microfluidic devices are increasingly widespread in the literature, being applied to numerous
exciting applications, from chemical research to Point-of-Care devices, passing through drug …

Multiscale deep learning for detection and recognition: A comprehensive survey

L Jiao, M Wang, X Liu, L Li, F Liu, Z Feng… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
Recently, the multiscale problem in computer vision has gradually attracted people's
attention. This article focuses on multiscale representation for object detection and …

Training spiking neural networks using lessons from deep learning

JK Eshraghian, M Ward, EO Neftci… - Proceedings of the …, 2023 - ieeexplore.ieee.org
The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …

Autonomous driving with spiking neural networks

RJ Zhu, Z Wang, L Gilpin… - Advances in Neural …, 2025 - proceedings.neurips.cc
Autonomous driving demands an integrated approach that encompasses perception,
prediction, and planning, all while operating under strict energy constraints to enhance …

[PDF][PDF] From waste to wonder: Develo** engineered nanomaterials for multifaceted applications

KE Bassey - GSC Advanced Research and Reviews, 2024 - researchgate.net
The escalating generation of industrial and consumer waste poses a significant
environmental challenge, necessitating innovative approaches to waste management and …

Computational AI to predict and optimize the relationship between dye removal efficiency and Gibbs free energy in the adsorption process utilizing TiO2/chitosan …

SPG Zaferani, MK Amiri, AA Amooey - International Journal of Biological …, 2024 - Elsevier
Building a model that can accurately anticipate and optimize the dynamics of dye removal
and Gibbs free energy within the framework of an adsorption process is the main goal of this …

To spike or not to spike: A digital hardware perspective on deep learning acceleration

F Ottati, C Gao, Q Chen, G Brignone… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
As deep learning models scale, they become increasingly competitive from domains
spanning from computer vision to natural language processing; however, this happens at …

Brain-inspired remote sensing foundation models and open problems: A comprehensive survey

L Jiao, Z Huang, X Lu, X Liu, Y Yang… - IEEE Journal of …, 2023 - ieeexplore.ieee.org
The foundation model (FM) has garnered significant attention for its remarkable transfer
performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a …

Brain-inspired learning, perception, and cognition: A comprehensive review

L Jiao, M Ma, P He, X Geng, X Liu, F Liu… - … on Neural Networks …, 2024 - ieeexplore.ieee.org
The progress of brain cognition and learning mechanisms has provided new inspiration for
the next generation of artificial intelligence (AI) and provided the biological basis for the …