Search Results - "Banitaan, Shadi"

Pedestrian Group Re-Identification and Trajectory Prediction Through Zone-Based Clustering by Chen, Mingzuoyang, Banitaan, Shadi, Maleki, Mina

“…Pedestrian trajectory prediction is a critical aspect of computer vision, aimed at predicting a pedestrian's future locations by analyzing their past…”
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Enhancing Pedestrian Group Detection and Tracking Through Zone-Based Clustering by Chen, Mingzuoyang, Banitaan, Shadi, Maleki, Mina

“…Advancements in self-driving car technology have the potential to revolutionize transportation by enhancing safety, efficiency, and accessibility. Nonetheless,…”
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The impact of trust, comfortability, usability and technophobia factors on acceptance of health information technology by Alquran, Hebah, Banitaan, Shadi, Bari, Tasfia, Chavarkar, Yogesh, Bellamy, Alphonso

“…In the contemporary landscape of healthcare, the rapid integration of digital technologies is reshaping traditional practices. As healthcare systems…”
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Kissing Bugs Identification Using Convolutional Neural Network by Abdelghani, Bassam A., Banitaan, Shadi, Maleki, Mina, Mazen, Amna

“…Chagas disease is one of the most important parasitic diseases transmitted to animals and people by insect vectors. According to the World Health Organization,…”
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Automatic identification of Chagas disease vectors using data mining and deep learning techniques by Parsons, Zeinab, Banitaan, Shadi

“…Chagas Disease (CD) is a vector-borne infectious disease transmitted from animals to humans and reversely. It is caused by the parasite Trypanosoma cruzi…”
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Commentary on Automatic identification of Chagas disease vectors using data mining and deep learning techniques by Parsons, Ziba, Banitaan, Shadi

“…We appreciate Gurgel-Goncalves et al. for offering their insights and opinions on our research on the automatic identification of vectors for Chagas disease…”
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State of health estimation of lithium-ion batteries using EIS measurement and transfer learning by Li, Yichun, Maleki, Mina, Banitaan, Shadi

“…Accurately estimating the state of health (SOH) of lithium-ion batteries in real-world scenarios, especially for electric vehicles (EVs) is challenging due to…”
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Transformed k-nearest neighborhood output distance minimization for predicting the defect density of software projects by López-Martín, Cuauhtémoc, Villuendas-Rey, Yenny, Azzeh, Mohammad, Bou Nassif, Ali, Banitaan, Shadi

“…•Defect density (DD) is used to determine the effectiveness of software processes.•Cased-based reasoning (CBR) has been the prediction technique most widely…”
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Occupancy prediction: A comparative study of static and MOTIF time series features using WiFi Syslog data by Abdelghani, Bassam A., Mohammad, Ahlam Al, Dari, Jamal, Maleki, Mina, Banitaan, Shadi

“…Occupancy prediction has been the subject of ongoing research, employing various methods and data sources to improve occupancy prediction accuracy and energy…”
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Pareto efficient multi-objective optimization for local tuning of analogy-based estimation by Azzeh, Mohammad, Nassif, Ali Bou, Banitaan, Shadi, Almasalha, Fadi

“…Analogy-based effort estimation (ABE) is one of the prominent methods for software effort estimation. The fundamental concept of ABE is closer to the mentality…”
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Guest editorial: special issue on predictive analytics using machine learning by Nassif, Ali Bou, Azzeh, Mohammad, Banitaan, Shadi, Neagu, Daniel

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Coarse grid partition to speed up A robot navigation by Wang, Chien-Yen, Yang, Chan-Yun, Banitaan, Shadi, Luo, Chaomin, Galsanbadam, Sainzaya

“…Path planning is one of the most focused on problems in the field of autonomous robots. The autonomous robot should pass around obstacles from a given starting…”
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Fake News Detection in Social Networks Using Data Mining Techniques by Alquran, Hebah, Banitaan, Shadi

“…Fake news is propagated by intentionally spreading false information on social media platforms. Fake news intends to mislead the public and damage the…”
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Predicting Severity of US Traffic Accidents: A Machine Learning Approach by Oad, Rahul, Sayani, Ali Irtaza, Banitaan, Shadi

“…Predicting accident severity using data analysis and machine learning is vital for enhancing road safety, as this data can help policymakers and law…”
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Bug Reports Prioritization: Which Features and Classifier to Use? by Alenezi, Mamdouh, Banitaan, Shadi

“…Large open source bug tracking systems receives large number of bug reports daily. Managing these huge numbers of incoming bug reports is a challenging task…”
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Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California by Yacoob, Benyamain, Scheys, Ethan, Oladipo, Eyiara, Price, Andre, Banitaan, Shadi

“…Anthropogenic activities release pollutants into the air, which can negatively affect human health and the environment. One such pollutant is nitrogen dioxide…”
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GDSCAN: Pedestrian Group Detection using Dynamic Epsilon by Chen, Mingzuoyang, Banitaan, Shadi, Maleki, Mina, Li, Yichun

“…In order to maintain human safety in autonomous vehicles, pedestrian detection and tracking in real-time have become crucial research areas. The critical…”
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Data-Driven State of Charge Estimation of Li-ion Batteries using Supervised Machine Learning Methods by Li, Yichun, Maleki, Mina, Banitaan, Shadi, Chen, Mingzuoyang

“…Recently, electrical vehicles (EVs) have attracted considerable attention from researchers due to the transition of the transportation industry and the…”
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On Selection of Optimal Kernel Function for Software Defect Prediction by Azzeh, Mohammad, Nassif, Ali Bou, Banitaan, Shadi

“…Software defect prediction is used to identify the most likely defect-prone modules. This activity can help the quality assurance team to distribute limited…”
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Automated Chagas Disease Vectors Identification using Data Mining Techniques by Ghasemi, Zeinab, Banitaan, Shadi, Al-Refai, Ghaith

“…Chagas disease (CD) is a vector-borne zoonotic disease affecting large parts of the world. It is imposing a tremendous social burden on public health and ranks…”
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