Search Results - "Arshad, Jamal"

Induced pluripotent stem cells (iPSCs): Where are we and where are we heading? by Arshad Jamal

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Exploring the Injury Severity Risk Factors in Fatal Crashes with Neural Network by Jamal, Arshad, Umer, Waleed

“…A better understanding of circumstances contributing to the severity outcome of traffic crashes is an important goal of road safety studies. An in-depth crash…”
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Sourcing knowledge for innovation: knowledge reuse and creation in project teams by Khedhaouria, Anis, Jamal, Arshad

“…Purpose – The purpose of this paper is to investigate motivations of team members to source knowledge and how the sourced knowledge increases their reuse and…”
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Recent Developments in the Removal of Dyes from Water by Starch‐Based Adsorbents by Ihsanullah, Ihsanullah, Bilal, Muhammad, Jamal, Arshad

“…Starch‐based adsorbents have demonstrated excellent potential for the removal of various noxious dyes from wastewater. This review critically evaluates the…”
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Prediction of electric vehicle charging duration time using ensemble machine learning algorithm and Shapley additive explanations by Ullah, Irfan, Liu, Kai, Yamamoto, Toshiyuki, Zahid, Muhammad, Jamal, Arshad

“…Summary Electric vehicles (EVs) are the most important components of smart transportation systems. Limited driving range, prolonged charging times, and…”
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Short Term Traffic State Prediction via Hyperparameter Optimization Based Classifiers by Zahid, Muhammad, Chen, Yangzhou, Jamal, Arshad, Memon, Muhammad Qasim

“…Short-term traffic state prediction has become an integral component of an advanced traveler information system (ATIS) in intelligent transportation systems…”
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Performance Evaluation of Plastic Concrete Modified with E-Waste Plastic as a Partial Replacement of Coarse Aggregate by Ahmad, Farhan, Jamal, Arshad, Mazher, Khwaja Mateen, Umer, Waleed, Iqbal, Mudassir

“…Plastic electronic waste (E-waste) is constantly growing around the world owing to the rapid increase in industrialization, urbanization, and population. The…”
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Evaluation of tensile strength degradation of GFRP rebars in harsh alkaline conditions using non-linear genetic-based models by Iqbal, Mudassir, Zhao, Qi, Zhang, Daxu, Jalal, Fazal E., Jamal, Arshad

“…Glass fiber reinforced polymer (GFRP) rebars reinforced in concrete are susceptible to degradation in harsh alkaline environments such as moist reinforced…”
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Electric vehicle energy consumption prediction using stacked generalization: an ensemble learning approach by Ullah, Irfan, Liu, Kai, Yamamoto, Toshiyuki, Zahid, Muhammad, Jamal, Arshad

“…In this paper, we present an ensemble stacked generalization (ESG) approach for better prediction of electric vehicles (EVs) energy consumption. ESG is a…”
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Bioremediation of dyes: Current status and prospects by Ihsanullah, Ihsanullah, Jamal, Arshad, Ilyas, Muhammad, Zubair, Mukarram, Khan, Gulraiz, Atieh, Muataz Ali

“…[Display omitted] •A comprehensive overview of bioremediation in water treatment is presented.•The potential of microorganisms for the uptake of dyes are…”
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Impacts of Autonomous Vehicles on Greenhouse Gas Emissions—Positive or Negative? by Massar, Moneim, Reza, Imran, Rahman, Syed Masiur, Abdullah, Sheikh Muhammad Habib, Jamal, Arshad, Al-Ismail, Fahad Saleh

“…The potential effects of autonomous vehicles (AVs) on greenhouse gas (GHG) emissions are uncertain, although numerous studies have been conducted to evaluate…”
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Employing Bibliometric Analysis to Identify the Current State of the Art and Future Prospects of Electric Vehicles by Ullah, Irfan, Safdar, Muhammad, Zheng, Jianfeng, Severino, Alessandro, Jamal, Arshad

“…Electric vehicles (EVs) are rapidly becoming a sustainable and viable mode of future transportation due to their multitude of advantages, such as reduced CO2…”
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ANN-based swarm intelligence for predicting expansive soil swell pressure and compression strength by Jalal, Fazal E., Iqbal, Mudassir, Khan, Waseem Akhtar, Jamal, Arshad, Onyelowe, Kennedy, Lekhraj

“…This research suggests a robust integration of artificial neural networks (ANN) for predicting swell pressure and the unconfined compression strength of…”
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Optimal Deployment of Electric Vehicles’ Fast-Charging Stations by Ullah, Irfan, Liu, Kai, Layeb, Safa Bhar, Severino, Alessandro, Jamal, Arshad

“…As climate change has become a pressing concern, promoting electric vehicles’ (EVs) usage has emerged as a popular response to the pollution caused by…”
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Predicting Risky and Aggressive Driving Behavior among Taxi Drivers: Do Spatio-Temporal Attributes Matter? by Zahid, Muhammad, Chen, Yangzhou, Khan, Sikandar, Jamal, Arshad, Ijaz, Muhammad, Ahmed, Tufail

“…Risky and aggressive driving maneuvers are considered a significant indicator for traffic accident occurrence as well as they aggravate their severity. Traffic…”
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Ensemble Tree-Based Approach towards Flexural Strength Prediction of FRP Reinforced Concrete Beams by Amin, Muhammad Nasir, Iqbal, Mudassir, Khan, Kaffayatullah, Qadir, Muhammad Ghulam, Shalabi, Faisal I, Jamal, Arshad

“…Due to rise in infrastructure development and demand for seawater and sea sand concrete, fiber-reinforced polymer (FRP) rebars are widely used in the…”
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Injury severity prediction of traffic crashes with ensemble machine learning techniques: a comparative study by Jamal, Arshad, Zahid, Muhammad, Tauhidur Rahman, Muhammad, Al-Ahmadi, Hassan M., Almoshaogeh, Meshal, Farooq, Danish, Ahmad, Mahmood

“…A better understanding of injury severity risk factors is fundamental to improving crash prediction and effective implementation of appropriate mitigation…”
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Examining Hotspots of Traffic Collisions and their Spatial Relationships with Land Use: A GIS-Based Geographically Weighted Regression Approach for Dammam, Saudi Arabia by Rahman, Muhammad Tauhidur, Jamal, Arshad, Al-Ahmadi, Hassan M.

“…Examining the relationships between vehicle crash patterns and urban land use is fundamental to improving crash predictions, creating guidance, and…”
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Investigation of factors influencing motorcyclist injury severity using random parameters logit model with heterogeneity in means and variances by Ijaz, Muhammad, Lan, Liu, Usman, Sheikh Muhammad, Zahid, Muhammad, Jamal, Arshad

“…Motorcyclists are an integral component of the traffic stream especially, in low-income developing countries like Pakistan. However, motorcyclists lay in the…”
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Predicting Traffic Sign Retro-Reflectivity Degradation Using Deep Neural Networks by Alkhulaifi, Abdolmaged, Jamal, Arshad, Ahmad, Irfan

“…Traffic signs are essential for the safe and efficient movement of vehicles through the transportation network. Poor sign visibility can lead to accidents. One…”
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