Multi-Classification of Chest X-Ray Images Using an Enhanced Deep Learning Approach

Revathi Annam,Savadam Balaji

#Lung diseases #CXR images #gaussian filtering #enhanced resnet50v2 #and enhanced deeplabv3+

A Silicosis-Focused Hybrid Architecture Leveraging Enhanced Segmentation and Feature Based Classification

Shivaanivarsha Natarajan,Kavipriya Periyasamy

#Deep learning #lung disease #silicosis #segmentation #UNet

Application of Fuzzy Decision Intelligent Recommendation System in Personalized Health Management of Hospitals

Yaping Ge,Kun Hu*,Yi Liu,Chen Zhang

#Intelligent system #healthcare recommendation system #decision support system #fuzzy neural network #multi-criteria decision making

Triple Transformer Ensemble Fusion Method for Pox Virus Classification

K.P. Haripriya,H. Hannah Inbarani

#Vision transformer #DEiT #mobile_ViT transformer #ensemble methods #classification #medical images

Innovative Approach for Brain Tumor Image Classification with Novel Optimized Feedforward Networks

Raafat Munshi

#Brain tumor image classification #AMFO-FNN #gaussian filter #GLCM #medical imaging

Unsupervised Convolutional Autoencoder Framework for Multimodal Medical Image Fusion in Brain Tumour Diagnosis

Saravanan Vijayan,Malarvizhi Subramani

#Unsupervised learning #autoencoders #image fusion #medical images #brain tumours

Enhanced Nucleus Segmentation with Sobel Edge Detection and Attention Gate with Modified UNET

Sravanthi Jakkula,Raju Bhukya

#UNET #nucleus segmentation #sobel filter

Automated Excavator Activity Diagnosis Via a Topology and Statistical Information Based Classifier

Mushu Wang,YuKui Qin,Tiepeng Bi,Weigang Pan

#Metric learning #covering algorithm #topology and statistical information #excavator activity classify

A Two-Stage Method of Cervical Cancer Detection using Hybrid Classification Methods

Orasa Patsadu,Srisuda Soranunsri,Chananate Arthayukti

#Cervical cancer #hybrid classification methods #two stage classification #machine learning #healthcare

Heart Disease Diagnosis Using Decision Trees with Feature Selection Method

Alaa Sheta,Walaa El-Ashmawi,Abdelkarim Baareh

#Machine learning #classification #decision tree #heart disease #diagnosis

From Neutrosophic Soft Set to Effective Neutrosophic Soft Set Generalizations and Applications

Sumyyah Al-Hijjawi,Abd Ghafur Ahmad,Shawkat Alkhazaleh

#Soft set #neutrosophic soft set #effective set #effective fuzzy soft set #effective neutrosophic soft set

Disease Prognosis of Fetal Heart’s Four-Chamber and Blood Vessels in Ultrasound Images Using CNN Incorporated VGG 16 and Enhanced DRNN

Someshwaran Gunasekaran,Sarada Vivekasaran

#Fetal heart disease #ultrasound images #augmented wiener filter #median modified wiener filter #region of interest #convolutional neural network #visual geometry group 16 #deep recurrent neural network

RSO based Optimization of Random Forest Classifier for Fault Detection and Classification in Photovoltaic Arrays

Khaled Baradieh,Mohd Zainuri,Mohamed Kamari,Yushaizad Yusof,Huda Abdullah,Mohd Zaman,Mohd Zulkifley

#Classifier #diagnosis #fault classification #fault detection #machine learning #optimization #photovoltaic #pv #random forest

FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks

Jun Wang,Yuanxi Wang

#CNN #GAN #hydrogen gas #sensors #fault #pattern recognition

Classification of Breast Cancer using Ensemble Filter Feature Selection with Triplet Attention Based Efficient Net Classifier

Bangalore Nagaraj Madhukar,Shivanandamurthy Hiremath Bharathi,Matta Polnaya Ashwin

#Breast cancer classification #histopathology image #ensemble filter feature selection #triplet attention based EfficientNet #TAENet

Evolutionary Computing Model for Finding Breast Cancer Masses using Image Enhancement Procedures with Artificial Intelligent Algorithms

Dhivya Samraj,Kuppuchamy Ramasamy,Muralidharan Karuppusamy

#Image enhancement #breast cancer #histogram equalization #particle swarm optimization #analysis

A Comparative Study of Different Pre-Trained Deep Learning Models and Custom CNN for Pancreatic Tumor Detection

Muhammed Talha Zavalsız,Sleiman Alhajj,Kashfia Sailunaz,Tansel Ozyer,Reda Alhajj

#Deep learning #medical image #pancreatic tumor detection #convolutional neural networks #pancreatic ductal adenocarcinoma

Event Extraction from Classical Arabic Texts

Abstract: Event extraction is one of the most useful and chal lenging Information Extraction (IE) tasks that can be used in

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An Improved Iterative Segmentation Algorithm using Canny Edge Detector for Skin Lesion Border Detection

1 and Mohamed Sathik2 1National College of Engineering, India 2Department of Computer Science, Sadakathullah Appa College, India

# Melanoma # canny edge detector # border detection # se gmentation # skin lesion

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TMP Rajkumar1 and Mrityunjaya Latte2 1Research Scholar, Anjuman Engineering College, Indi a 2Principal, JSS Academy of Technical Education, India

# Image compression # ROI # LSK # fractal image compress ion # MRI images # iterated functions systems