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[PDF][PDF] AI-Enhanced lifecycle assessment of renewable energy systems
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 …
that AI-enhanced LCA models significantly improve the precision and depth of …
Integrating machine learning and biosensors in microfluidic devices: a review.
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 …
exciting applications, from chemical research to Point-of-Care devices, passing through drug …
Multiscale deep learning for detection and recognition: A comprehensive survey
Recently, the multiscale problem in computer vision has gradually attracted people's
attention. This article focuses on multiscale representation for object detection and …
attention. This article focuses on multiscale representation for object detection and …
Training spiking neural networks using lessons from deep learning
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 …
networks. The inner workings of our synapses and neurons provide a glimpse at what the …
Autonomous driving with spiking neural networks
Autonomous driving demands an integrated approach that encompasses perception,
prediction, and planning, all while operating under strict energy constraints to enhance …
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 …
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 …
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 …
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
As deep learning models scale, they become increasingly competitive from domains
spanning from computer vision to natural language processing; however, this happens at …
spanning from computer vision to natural language processing; however, this happens at …
Brain-inspired remote sensing foundation models and open problems: A comprehensive survey
The foundation model (FM) has garnered significant attention for its remarkable transfer
performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a …
performance in downstream tasks. Typically, it undergoes task-agnostic pretraining on a …
Brain-inspired learning, perception, and cognition: A comprehensive review
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 …
the next generation of artificial intelligence (AI) and provided the biological basis for the …