A5064957857- Complex Network Analysis Techniques
- Opinion Dynamics and Social Influence
- Advanced Text Analysis Techniques
- Transportation Planning and Optimization
- Misinformation and Its Impacts
- Traffic control and management
- Animal Nutrition and Physiology
- Nutritional Studies and Diet
- Digital Marketing and Social Media
- Brain Tumor Detection and Classification
- Single-cell and spatial transcriptomics
- Plant and Fungal Species Descriptions
- Plant Diversity and Evolution
- Web Data Mining and Analysis
- Gene expression and cancer classification
- Metaheuristic Optimization Algorithms Research
- Pregnancy and preeclampsia studies
- Reinforcement Learning in Robotics
- Antioxidant Activity and Oxidative Stress
- Data Mining Algorithms and Applications
- Fuzzy Logic and Control Systems
- Evolutionary Algorithms and Applications
- Leprosy Research and Treatment
- Coral and Marine Ecosystems Studies
- Sentiment Analysis and Opinion Mining
Jahrom University of Medical Sciences
2024
Alborz University of Medical Sciences
2024
University of Chicago
2024
University of Chicago Medicine Comprehensive Cancer Center
2024
Arizona State University
2010-2023
University of Tehran
2008-2020
Islamic Azad University, Science and Research Branch
2019
Pasteur Institute of Iran
2016
Ferdowsi University of Mashhad
2014
Social media is becoming popular as a key source of information on disasters and crisis situations. Humanitarian Aid Disaster Relief (HADR) respondents can gain valuable insights situational awareness by monitoring social mediabased feeds. Specifically, the use microblogs (i.e., Twitter) has been shown to provide new not otherwise attainable. In this paper, we present application designed help HADR relief organizations track, analyze, monitor tweets. The purpose tool these first responders...
Although the macroscopic volume-delay function (VDF) has been widely used in static traffic assignment for transportation planning, planning community long recognized its deficiencies as a capturing flow dynamics and queue evolution process. In existing literature, many queueing-based simulation-based dynamic (DTA) models involving various parameters have proposed to capture system on different spatial scales; however, how calibrate these DTA could still be challenging task own right,...
In this paper, we present a novel classifier based on fuzzy logic and wavelet transformation in the form of neural network. This includes layer to predict numerical feature corresponded labels or classes. The presented is implemented brain tumor diagnosis. For extraction, fractal model with four Gaussian functions used. classification performed 2000 MRI images. Regarding results, accuracy DT, KNN, LDA, NB, MLP, SVM 93.5%, 87.6%, 61.5%, 57.5%, 68.5%, 43.6%, respectively. Based FWNNet...
Abstract We have developed an innovative tool, the Intelligent Catchment Analysis Tool (iCAT), designed to identify and address healthcare disparities across specific regions. Powered by Artificial Intelligence Machine Learning, our tool employs a robust Geographic Information System (GIS) map outcomes disease disparities. iCAT allows users query publicly available data sources, health system data, treatment offering insights into gaps in diagnosis paradigms. This project aims promote best...
Abstract This study aimed to evaluate the effects of dietary different antioxidants and plant oils on performance, apparent metabolizable energy protein digestibility, meat quality fatty acid composition broiler chickens. In all, 480 male chicks 1‐day old were assigned in a completely randomized design with factorial arrangement 2 × 5 (plant oil sources [soybean rapeseed oils] antioxidant [vitamin E, Thyme, Rosemary Satureja essential furthermore control treatment without antioxidant). The...
Prediabetes is a major epidemic and associated with adverse cardio-cerebrovascular outcomes. Early identification of patients who will develop rapid progression atherosclerosis could be beneficial for improved risk stratification. In this paper, we investigate important factors impacting the prediction, using several machine learning methods, carotid intima-media thickness in impaired glucose tolerance (IGT) participants. Actos Now Prevention Diabetes (ACT NOW) study, 382 participants IGT...
Users' personal information such as their political views is important for many applications targeted advertisements or real-time monitoring of opinions. Huge amounts data generated by social media users present opportunities and challenges to study these preferences in a large scale. In this paper, we aim infer users' when only network available. particular, given about some the users, how can unobserved individuals same network? There are existing solutions that address problem...
Abstract Predicting postpartum hemorrhage (PPH) before delivery is crucial for enhancing patient outcomes, enabling timely transfer and implementation of prophylactic therapies. We attempted to utilize machine learning (ML) using basic pre-labor clinical data laboratory measurements predict Hemoglobin (Hb) in non-complicated singleton pregnancies. The local databases two academic care centers on were incorporated into the current study. Patients with preexisting coagulopathy, traumatic...
In a Q-learning multi-agent group, agents cooperate each other to perform their assigned task during learning for increasing the team performance. If role of agent clearly specified -which is very hard supervisor agent- will learn more efficiently. Indeed, in this case reinforced according its real effect on Assuming an identical all most prevalent technique current researchers escape modeling complexities. But we believe not optimum method reinforcement distribution. The main goal research...
Homophily is the formation of social ties between two individuals due to similar characteristics or interests. Based on homophily, in a network it expected observe higher degree homogeneity among connected than disconnected people. Many researchers use this simple yet effective principal infer users' missing information and interests based provided by their neighbors. In directed network, neighbors can be further divided into followers followees. work, we investigate homophily effect...
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