A5074370848- Algorithms and Data Compression
- Data Mining Algorithms and Applications
- Advanced Statistical Process Monitoring
- Chronic Obstructive Pulmonary Disease (COPD) Research
- Respiratory and Cough-Related Research
- Anomaly Detection Techniques and Applications
- Fault Detection and Control Systems
- Time Series Analysis and Forecasting
- Advanced Adaptive Filtering Techniques
- Target Tracking and Data Fusion in Sensor Networks
- Energy Harvesting in Wireless Networks
- Cardiovascular and exercise physiology
- Cardiovascular Effects of Exercise
- Complex Systems and Time Series Analysis
- AI-based Problem Solving and Planning
- IoT-based Smart Home Systems
- Robot Manipulation and Learning
- Energy Efficient Wireless Sensor Networks
- Mental Health Research Topics
- Complex Network Analysis Techniques
- Gene expression and cancer classification
- Music Technology and Sound Studies
- Distributed Sensor Networks and Detection Algorithms
- Music and Audio Processing
- Speech and Audio Processing
Imam Khomeini International University
2023-2024
Tehran University of Medical Sciences
2023-2024
Georgia Institute of Technology
2016-2022
Islamic Azad University, Zahedan Branch
2020
Islamic Azad University, Science and Research Branch
2018
University of Illinois Chicago
2014
The high-dimensionality and volume of large-scale streaming data has inhibited significant research progress in developing an integrated monitoring diagnostics (M&D) approach. Such streams are becoming common various applications including manufacturing, healthcare, web mining. In this article, we propose M&D approach for data. Using principal component analysis (PCA), first develop a new method that adaptively chooses components most likely to be affected by the process change. Furthermore,...
Objective: Engaging in outdoor cycling, particularly within cold and arid environments, frequently precipitates dryness the laryngeal mucosa induces various supraglottic disorders. Such conditions hold potential to detrimentally impact respiratory system efficiency. This study principally sought elucidate influence of upper airway disorders on capacities road cyclist. Methods Materials: investigation encompassed seventy-two professional elite cyclists, comprising 22 females 50 males, with an...
In this article we create a novel monitoring system to detect changes within sequence of networks. Specifically, consider sparse, weighted, directed, and attributed Our approach uses the Hurdle model capture sparsity explain weights edges as function node edge attributes. Here, weight an represents number interactions between two nodes. We then integrate with state-space temporal dynamics formation process. Estimation is performed using extended Kalman Filter. Statistical process control...
Online audio advertising is a particular form of used abundantly in online music streaming services. In these platforms, which tend to host tens thousands unique advertisements (ads), providing high quality ads ensures better user experience and results longer engagement. Therefore, the automatic assessment an important step toward ranking creation.
The high-dimensionality and volume of large scale multistream data has inhibited significant research progress in developing an integrated monitoring diagnostics (M&D) approach. This data, also categorized as big is becoming common manufacturing plants. In this paper, we propose M\&D approach for streaming data. We developed a novel method named Adaptive Principal Component (APC) which adaptively chooses PCs that are most likely to vary due the change early detection. Importantly,...
In this paper, we develop a new sequential regression modeling approach for data streams. Data streams are commonly found around us, e.g in retail enterprise sales is continuously collected every day. A demand forecasting model an important outcome from the that needs to be updated with incoming data. The main challenge such arises when there a) high dimensional and sparsity, b) need adaptive use of prior knowledge, and/or c) structural changes system. proposed addresses these challenges by...
Lifting weights is a popular exercise method for improving the physical characteristics underlying performance in wide range of sports. In order to perform these lifts safely and efficiently, strength athletes use purposeful holding breath, strong exhalation against closed vocal cords. These are commonly known as Valsalva Maneuvers (VM) or hard glottis closures increase core stability reduce some load on spine, facilitate lifting by increasing closure subsequently intra-thoracic...