AlexNet, AdaBoost and Artificial Bee Colony Based Hybrid Model for Electricity Theft Detection in Smart Grids
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3150016
Abstract: Electricity theft (ET) is an utmost problem for power utilities because it threatens public safety, disturbs the normal working of grid infrastructure and increases revenue losses. In the literature, many machine learning (ML), deep learning… read more here.
Keywords: alexnet; electricity theft; hybrid model; smart grids ... See more keywords
Comparing bags of features, conventional convolutional neural network and AlexNet for fruit recognition
Sign Up to like & getrecommendations! Published in 2019 at "Indonesian Journal of Electrical Engineering and Computer Science"
DOI: 10.11591/ijeecs.v14.i1.pp333-339
Abstract: This paper presents a comparative study between Bag of Features (BoF), Conventional Convolutional Neural Network (CNN) and Alexnet for fruit recognition. Automatic fruit recognition can minimize human intervention in their fruit harvesting operations, operation time… read more here.
Keywords: fruit recognition; alexnet; conventional convolutional; convolutional neural ... See more keywords
Refined Automatic Brain Tumor Classification Using Hybrid Convolutional Neural Networks for MRI Scans
Sign Up to like & getrecommendations! Published in 2023 at "Diagnostics"
DOI: 10.3390/diagnostics13050864
Abstract: Refined hybrid convolutional neural networks are proposed in this work for classifying brain tumor classes based on MRI scans. A dataset of 2880 T1-weighted contrast-enhanced MRI brain scans are used. The dataset contains three main… read more here.
Keywords: neural networks; brain tumor; alexnet; classification ... See more keywords