Arshad Jamal - Dissemin

All papers authored by Arshad Jamal

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2024 Imran Nawaz, Meshal Almoshaogeh, Tufail Ahmed, Mehdi Moeinaddini, Arshad Jamal

, Fawaz Alharbi

An Empirical Framework to Quantify the Individual Traffic Congestion Cost for Private Motorized Vehicle Users

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2023 Farooq Saeed

, Taher Maatallah

, Ahlem Houcine

, Arshad Jamal

, Sajid Ali

Novel Cooling Strategy for a Hybrid Photovoltaic/Parabolic Dish Concentrator

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Abdulla Almahdi, Rabia Emhamed Al Mamlook, Nishantha Bandara, Ali Saeed Almuflih

, Ahmad Nasayreh

, Hasan Gharaibeh, Fahad Alasim, Abeer Aljohani, Arshad Jamal

Boosting Ensemble Learning for Freeway Crash Classification under Varying Traffic Conditions: A Hyperparameter Optimization Approach

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Rizwan Ahmed

, Rahisham Abd Rahman

, Adel S. Aldosary

, Baqer Al-Ramadan

, Rahmat Ullah, Arshad Jamal

Analysis of the Insulation Characteristics of Hexafluorobutene (C4H2F6) Gas and Mixture with CO2/N2 as an Alternative to SF6 for Medium-Voltage Applications

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Irfan Ullah

, Kai Liu

, Safa Bhar Layeb

, Alessandro Severino

, Arshad Jamal

Optimal Deployment of Electric Vehicles’ Fast-Charging Stations

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Irfan Ullah, Kai Liu

, Toshiyuki Yamamoto, Muhammad Zahid, Arshad Jamal

Modeling of machine learning with SHAP approach for electric vehicle charging station choice behavior prediction

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Irfan Ullah

, Muhammad Safdar

, Jianfeng Zheng, Alessandro Severino

, Arshad Jamal

Employing Bibliometric Analysis to Identify the Current State of the Art and Future Prospects of Electric Vehicles

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Khaled Assi

, Nedal Ratrout, Ibrahim Nemer, Syed Masiur Rahman, Arshad Jamal

Framework of Big Data and Deep Learning for Simultaneously Solving Space Allocation and Signal Timing Problem

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2022 Sami Abdullah Osman

, Meshal Almoshaogeh

, Arshad Jamal

, Fawaz Alharbi, Abdulhamid Al Mojil, Muhammad Abubakar Dalhat

Intelligent Assessment of Pavement Condition Indices Using Artificial Neural Networks

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Ibrahim Aldhari

, Meshal Almoshaogeh

, Arshad Jamal

, Fawaz Alharbi, Majed Alinizzi, Husnain Haider

Severity Prediction of Highway Crashes in Saudi Arabia Using Machine Learning Techniques

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I. Ihsanullah, Gulzar Alam, Arshad Jamal

, Feroz Shaik

Recent advances in applications of artificial intelligence in solid waste management: A review

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Arshad Jamal

, Imran Reza, Md Shafiullah

Modeling retroreflectivity degradation of traffic signs using artificial neural networks

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Arshad Jamal

, Muhammad Ijaz

, Meshal Almosageah

, Hassan M. Al-Ahmadi

, Muhammad Zahid, Irfan Ullah

, Rabia Emhamed Al Mamlook

Implementing the Maximum Likelihood Method for Critical Gap Estimation under Heterogeneous Traffic Conditions

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Ghulam Yaseen, Arshad Jamal

, Meshal Almoshageh

, Fawaz Alharbi, Hammad Hussain Awan

Performance Evaluation of Aged Asphalt Pavement Binder through Rejuvenators

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Waiss Ali Aden, Jianfeng Zheng, Meshal Almoshageh, Irfan Ullah, Qaiser Aziz, Arshad Jamal

Dynamic association between socio-economic, environmental and logistic operations: Evidence from SSA BRI host countries

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Babatunde Abiodun Salami, Mudassir Iqbal, Abdulazeez Abdulraheem, Fazal E. Jalal, Wasiu Alimi, Arshad Jamal

, T. Tafsirojjaman, Yue Liu, Abidhan Bardhan

Estimating compressive strength of lightweight foamed concrete using neural, genetic and ensemble machine learning approaches

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Mohammad Tamim Kashifi, Arshad Jamal

, Mohammad Samim Kashefi, Meshal Almoshaogeh, Syed Masiur Rahman

Predicting the travel mode choice with interpretable machine learning techniques: A comparative study

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Karim Sattar, Feras Chikh Oughali, Khaled Assi

, Nedal Ratrout, Arshad Jamal

, Syed Masiur Rahman

Transparent deep machine learning framework for predicting traffic crash severity

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Muhammad Ijaz, Lan Liu, Yahya Almarhabi, Arshad Jamal

, Sheikh Muhammad Usman

, Muhammad Zahid

Temporal Instability of Factors Affecting Injury Severity in Helmet-Wearing and Non-Helmet-Wearing Motorcycle Crashes: A Random Parameter Approach with Heterogeneity in Means and Variances

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Kaffayatullah Khan

, Babatunde Abiodun Salami

, Arshad Jamal

, Muhammad Nasir Amin

, Muhammad Usman

, Majdi Adel Al-Faiad

, Abdullah M. Abu-Arab, Mudassir Iqbal

Prediction Models for Estimating Compressive Strength of Concrete Made of Manufactured Sand Using Gene Expression Programming Model

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All papers authored by Arshad Jamal