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Results for “"Sieh Kiong Tiong"”

16+ results

An overview of solar photovoltaic panels’ end-of-life material recycling

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Shahariar Chowdhury, Kazi Sajedur Rahman, Tanjia Chowdhury, Narissara Nuthammachot et al.

Journal: Energy Strategy ReviewsYear: 2019Citations: 751

End-of-life (EOL) solar panels may become a source of hazardous waste although there are enormous benefits globally from the growth in solar power generation. Global installed PV capacity reached around 400 GW at the end of 2017 and is expected to rise further to 4500 GW by 2050. Considering an aver...

Physical SciencesEnvironmental ScienceEnvironmental EngineeringOpen Access
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Prospective Methodologies in Hybrid Renewable Energy Systems for Energy Prediction Using Artificial Neural Networks

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Md. Mijanur Rahman, Mohammad Shakeri, Sieh Kiong Tiong, Fatema Khatun et al.

Journal: SustainabilityYear: 2021Citations: 192

This paper presents a comprehensive review of machine learning (ML) based approaches, especially artificial neural networks (ANNs) in time series data prediction problems. According to literature, around 80% of the world’s total energy demand is supplied either through fuel-based sources such as oil...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Advanced data-driven fault diagnosis in lithium-ion battery management systems for electric vehicles: Progress, challenges, and future perspectives

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Maher G. M. Abdolrasol, Afida Ayob, Molla Shahadat Hossain Lipu, Shaheer Ansari et al.

Journal: eTransportationYear: 2024Citations: 68
Physical SciencesEngineeringAutomotive Engineering
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A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic

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Md. Mijanur Rahman, Fatema Khatun, Ashik Uzzaman, Sadia Islam Sami et al.

Journal: International Journal of Health ServicesYear: 2021Citations: 51

The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a pandemic, creating alarming impacts on health care, socioeconomic environments, and international relationships. The principal objective of the study is to provide the current technological aspects of artificial...

Health SciencesMedicineRadiology, Nuclear Medicine and ImagingOpen Access
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A comprehensive study and performance analysis of deep neural network-based approaches in wind time-series forecasting

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Md. Mijanur Rahman, Mohammad Shakeri, Fatema Khatun, Sieh Kiong Tiong et al.

Journal: Journal of Reliable Intelligent EnvironmentsYear: 2022Citations: 44
Physical SciencesEngineeringElectrical and Electronic Engineering
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Current scenario and future trends on stability issues of perovskite solar cells: A mini review

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Mohammad Nur‐E‐Alam, Md. Saiful Islam, Tarek Abedin, Mohammad Aminul Islam et al.

Journal: Current Opinion in Colloid & Interface ScienceYear: 2025Citations: 33
Physical SciencesEngineeringElectrical and Electronic Engineering
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Design, fabrication, and physical properties analysis of laminated Low-E coated glass for retrofit window solutions

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Mohammad Nur‐E‐Alam, Mikhail Vasiliev, Boon Kar Yap, Mohammad Aminul Islam et al.

Journal: Energy and BuildingsYear: 2024Citations: 25

The ever-growing demand for improved energy efficiency in buildings has stimulated a stream of research focused on innovative retrofit energy solutions. Laminated low emissivity (Low-E) type coated glass components can be used in retrofitting window systems for enhancing energy savings provided by t...

Physical SciencesMaterials SciencePolymers and PlasticsOpen Access
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Optimization of energy management in Malaysian microgrids using fuzzy logic-based EMS scheduling controller

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Mohammad Nur‐E‐Alam, Tarek Abedin, Nur Aini Samsudin, Jana Petrů et al.

Journal: Scientific ReportsYear: 2025Citations: 17

The microgrid (MG) faces significant security issues due to the two-way power and information flow. Integrating an Energy Management System (EMS) to balance energy supply and demand in Malaysian microgrids, this study designs a Fuzzy Logic Controller (FLC) that considers intermittent renewable sourc...

Physical SciencesEngineeringControl and Systems EngineeringOpen Access
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MoS2 thin film hetero-interface as effective back surface field in CZTS-based solar cells

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Md. Saiful Islam, Camellia Doroody, Tiong Sieh Kiong, Kazi Sajedur Rahman et al.

Journal: Materials Science in Semiconductor ProcessingYear: 2024Citations: 16
Physical SciencesEngineeringElectrical and Electronic Engineering
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Anti-solvent materials enhanced structural and optical properties on ambiently fabricated perovskite thin films

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Mohammad Nur‐E‐Alam, Mohammad Aminul Islam, Yap Boon Kar, Tiong Sieh Kiong et al.

Journal: Scientific ReportsYear: 2024Citations: 16

Perovskite solar cells (PSCs) hold potential for low-cost, high-efficiency solar energy, but their sensitivity to moisture limits practical application. Current fabrication requires controlled environments, limiting mass production. Researchers aim to develop stable PSCs with longer lifetimes under ...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Copper doping effect in the back surface field layer of CdTe thin film solar cells

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Nur Irwany Ahmad, Tiong Sieh Kiong, Camellia Doroody, Kazi Sajedur Rahman et al.

Journal: Alexandria Engineering JournalYear: 2024Citations: 16

In this work, the Solar Cell Capacitance Simulator (SCAPS-1D) is employed to evaluate the characteristics of CdTe thin films with ZnTe as the Back Surface Field (BSF) layer and estimate the effective copper doping ratio at both the atomic scale and the device operational response perspective. The el...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Aloe vera extract mediated hydrothermal synthesis of rose-like copper iron sulfide for efficient oxygen evolution reaction

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Vidhya Selvanathan, D.K. Sarkar, M. Mottakin, Md. Ariful Islam et al.

Journal: Journal of the Taiwan Institute of Chemical EngineersYear: 2023Citations: 15
Physical SciencesEnergyRenewable Energy, Sustainability and the Environment
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Integrating demand forecasting and deep reinforcement learning for real-time electric vehicle charging price optimization

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Monowar Mahmud, Tarek Abedin, Md. Mahfuzur Rahman, Shamiul Ashraf Shoishob et al.

Journal: Utilities PolicyYear: 2025Citations: 11

The rapid growth of electric vehicles (EVs) demands efficient, grid-friendly charging systems. This study introduces a dynamic pricing framework combining short-term demand forecasting and deep reinforcement learning. Using Adaptive Charging Network (ACN) data, XGBoost predicts charging demand accur...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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Enhancing GaAs solar cell efficiency through nanostructured features: A comprehensive review of recent advances, challenges and future outlook

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Mohammad Nur‐E‐Alam, Boon Kar Yap, Tiong Sieh Kiong, Mohammad Khairul Basher et al.

Journal: Inorganic Chemistry CommunicationsYear: 2025Citations: 10

• Nano-features boost GaAs solar cell efficiency through light trapping, surface passivation, and design. • The potential of nanostructures to improve the efficiency of GaAs-based solar cells is summarised. • Emphasizing easy and cost-effective development processes of nanostructures to ensure the p...

Physical SciencesEngineeringBiomedical EngineeringOpen Access
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Chronological progress in enhancing CIGS solar cell performance through window layer development: Fundamentals, synthesis, optimization

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Nadia Hartini Suhaimi, Mohammad Nur‐E‐Alam, Boon Kar Yap, K. Sobayel et al.

Journal: Surfaces and InterfacesYear: 2024Citations: 8

• Reviewing different types of material for the window layer. • Analyzing various deposition methods of the window layer. • Discussing material, electrical, and optical properties. • Proposing new material combination for the window layer. Several factors, particularly the material of the window lay...

Physical SciencesEngineeringElectrical and Electronic EngineeringOpen Access
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