Edex Live

Listening to the Forest: An AI innovator’s mission to protect humans and wildlife

By Atharva Agrawal Growing up in the Tiger Capital of India, Nagpur, a city surrounded by some of the country’s most eminent wildlife sanctuaries, including Pen ...
GitHub

GitHub - iwga/Neural-Network-with-Financial-Time-Series-Data: This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time ...

An evnet driven model that implements the latest techniques to predict log return of any financial asset. It first uses a parsimonious rule-based Model for Sentiment Analysis for the New York Times.
GitHub

Neural Relation Extraction(NRE)

Neural relation extraction aims to extract relations from plain text with neural models, which has been the state-of-the-art methods for relation extraction. In this project, we provide our ...
C&EN

Development of Coarse-Grained Lipid Force Fields Based on a Graph Neural Network

Department of Materials Science and Engineering, City University of Hong Kong, Kowloon 999077, Hong Kong China Department of Physics, City University of Hong Kong, Kowloon 999077, Hong Kong China ...
pv magazine International

PV module fault diagnosis uses convolutional neural network

Researchers in China have created a dataset of various PV faults and normalized it to accommodate different array sizes and typologies. After testing the new approach in combination with the 1D-CNN ...
IEEE

Convolutional Neural Networks and TensorFlow-Based Enhance Correction for Color Visual Deficiency (CVD) Impaired

Abstract: Color Vision Deficiency (CVD) presents significant challenges for individuals, particularly in distinguishing certain colors under normal lighting conditions. The primary objective of this ...
Frontiers

CNN-TumorNet: leveraging explainability in deep learning for precise brain tumor diagnosis on MRI images

Introduction: The early identification of brain tumors is essential for optimal treatment and patient prognosis. Advancements in MRI technology have markedly enhanced tumor detection yet necessitate ...
pv magazine International

Ultra-short-term PV forecasting based on convolutional neural network, long short-term memory

Scientists have created a novel probabilistic model for 5-minutes ahead PV power forecasting. The method combines a convolutional neural network with bidirectional long short-term memory, attention ...
Microsoft

Convolutional neural network transformer (CNNT) for fluorescence microscopy image denoising with improved generalization and fast adaptation

Deep neural networks can improve the quality of fluorescence microscopy images. Previous methods, based on Convolutional Neural Networks (CNNs), require time-consuming training of individual models ...