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Fibrosis-Net: A Tailored Deep Convolutional Neural Network Design for Prediction of Pulmonary Fibrosis Progression From Chest CT Images

Frontiers
Pulmonary fibrosis is a devastating chronic lung disease that causes irreparable lung tissue scarring and damage, resulting in progressive loss in lung...
5 months ago

An application of artificial neural network (ANN) for comparative performance assessment of solar chimney (SC) plant for green energy production | Scientific Reports

Nature
This study aims to optimize the power generation of a conventional Manzanares solar chimney (SC) plant through strategic modifications to the collector inlet...
10 months ago

(PDF) Towards Energy Efficient 5G Networks Using Machine Learning: Taxonomy, Research Challenges, and Future Research Directions

ResearchGate
PDF | As the world pushes toward the use of greener technology and minimizes energy waste, energy efficiency in the wireless network has...
1 month ago

How to Build Good AI Solutions When Data Is Scarce

MIT Sloan Management Review
New data-efficient AI techniques can help when developers lack sufficient volumes of labeled training data.
24 months ago

(PDF) 6G and Beyond: The Future of Wireless Communications Systems

ResearchGate
PDF | The next generation of wireless communication networks, or 6G, will fulfill the requirements of a fully connected world and provide...
1 month ago

Top 8 Free Must-Read Books on Deep Learning

KDnuggets
Deep Learning is the newest trend coming out of Machine Learning, but what exactly is it? And how do I learn more? With that in mind,...
79 months ago

Prediction of methyl orange dye (MO) adsorption using activated carbon with an artificial neural network optimization modeling

ScienceDirect.com
In this study, methyl orange (MO) dye removal by adsorption utilizing activated carbon made from date seeds (DPAC) was modeled using an artificial neural...
22 months ago

A neural network-based PDE solving algorithm with high precision

Nature
An innovative method is introduced in this study to solve linear equations based on deep neural networks. To achieve a high accuracy, we employ the residual...
20 months ago

A physics informed bayesian optimization approach for material design: application to NiTi shape memory alloys

Nature
The design of materials and identification of optimal processing parameters constitute a complex and challenging task,...
11 months ago

The Complete Collection of Data Science Books – Part 2

KDnuggets
Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data...
30 months ago