148 citations · 408 across the 16 of their papers we have counts for
16 papers
No-Reference Image Contrast Assessment with Customized EfficientNet-B0
Javad Hassannataj Joloudari, Bita Mesbahzadeh, Omid Zare +3
Image contrast was a fundamental factor in visual perception and played a vital role in overall image quality. However, most no reference image quality assessment NR IQA models str…
A Lightweight and Robust Framework for Real-Time Colorectal Polyp Detection Using LOF-Based Preprocessing and YOLO-v11n
Saadat Behzadi, Danial Sharifrazi, Bita Mesbahzadeh +2
Objectives: Timely and accurate detection of colorectal polyps plays a crucial role in diagnosing and preventing colorectal cancer, a major cause of mortality worldwide. This study…
Complex Emotion Recognition System using basic emotions via Facial Expression, EEG, and ECG Signals: a review
Javad Hassannataj Joloudari, Mohammad Maftoun, Bahareh Nakisa +2
The Complex Emotion Recognition System (CERS) deciphers complex emotional states by examining combinations of basic emotions expressed, their interconnections, and the dynamic vari…
Functional Classification of Spiking Signal Data Using Artificial Intelligence Techniques: A Review
Danial Sharifrazi, Nouman Javed, Javad Hassannataj Joloudari +5
Human brain neuron activities are incredibly significant nowadays. Neuronal behavior is assessed by analyzing signal data such as electroencephalography (EEG), which can offer scie…
Malicious URL Detection using optimized Hist Gradient Boosting Classifier based on grid search method
Mohammad Maftoun, Nima Shadkam, Seyedeh Somayeh Salehi Komamardakhi +2
Trusting the accuracy of data inputted on online platforms can be difficult due to the possibility of malicious websites gathering information for unlawful reasons. Analyzing each…
Enhancing Face Recognition with Latent Space Data Augmentation and Facial Posture Reconstruction
Soroush Hashemifar, Abdolreza Marefat, Javad Hassannataj Joloudari +1
The small amount of training data for many state-of-the-art deep learning-based Face Recognition (FR) systems causes a marked deterioration in their performance. Although a conside…
BERT-Deep CNN: State-of-the-Art for Sentiment Analysis of COVID-19 Tweets
Javad Hassannataj Joloudari, Sadiq Hussain, Mohammad Ali Nematollahi +5
The free flow of information has been accelerated by the rapid development of social media technology. There has been a significant social and psychological impact on the populatio…
Effective Class-Imbalance learning based on SMOTE and Convolutional Neural Networks
Javad Hassannataj Joloudari, Abdolreza Marefat, Mohammad Ali Nematollahi +2
Imbalanced Data (ID) is a problem that deters Machine Learning (ML) models for achieving satisfactory results. ID is the occurrence of a situation where the quantity of the samples…
The state-of-the-art review on resource allocation problem using artificial intelligence methods on various computing paradigms
Javad Hassannataj Joloudari, Sanaz Mojrian, Hamid Saadatfar +7
With the increasing growth of information through smart devices, increasing the quality level of human life requires various computational paradigms presentation including the Inte…
FCM-DNN: diagnosing coronary artery disease by deep accuracy Fuzzy C-Means clustering model
Javad Hassannataj Joloudari, Hamid Saadatfar, Mohammad GhasemiGol +6
Cardiovascular disease is one of the most challenging diseases in middle-aged and older people, which causes high mortality. Coronary artery disease (CAD) is known as a common card…
Combining a Convolutional Neural Network with Autoencoders to Predict the Survival Chance of COVID-19 Patients
Fahime Khozeimeh, Danial Sharifrazi, Navid Hoseini Izadi +10
COVID-19 has caused many deaths worldwide. The automation of the diagnosis of this virus is highly desired. Convolutional neural networks (CNNs) have shown outstanding classificati…
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images
Danial Sharifrazi, Roohallah Alizadehsani, Mohamad Roshanzamir +13
The coronavirus (COVID-19) is currently the most common contagious disease which is prevalent all over the world. The main challenge of this disease is the primary diagnosis to pre…
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data
Roohallah Alizadehsani, Danial Sharifrazi, Navid Hoseini Izadi +11
The new coronavirus has caused more than one million deaths and continues to spread rapidly. This virus targets the lungs, causing respiratory distress which can be mild or severe.…
Game theory and Evolutionary-optimization methods applied to resource allocation problems in emerging computing environments: A survey
Fatemeh Rahmani, Javad Hassannataj Joloudari, Shahab Shamshirband +1
Today's intelligent computing environments, including Internet of Things, cloud computing and fog computing, allow many organizations around the world to optimize their resource al…
Coronary Artery Disease Diagnosis; Ranking the Significant Features Using Random Trees Model
Javad Hassannataj Joloudari, Edris Hassannataj Joloudari, Hamid Saadatfar +6
Heart disease is one of the most common diseases in middle-aged citizens. Among the vast number of heart diseases, the coronary artery disease (CAD) is considered as a common cardi…
Hybrid Machine Learning Model of Extreme Learning Machine Radial basis function for Breast Cancer Detection and Diagnosis; a Multilayer Fuzzy Expert System
Sanaz Mojrian, Gergo Pinter, Javad Hassannataj Joloudari +4
Mammography is often used as the most common laboratory method for the detection of breast cancer, yet associated with the high cost and many side effects. Machine learning predict…