Digital Commons Network^™

Material Degradation And Analysis Of N-Doped Graphene/Mof Nanocatalysts For Orr In Electrochemical Energy Systems, Niladri Talukder

Dissertations

The development of advanced electrochemical energy conversion and storage systems is crucial for achieving sustainable energy security. As alternatives to precious metal-based catalysts in electrochemical systems, especially for the oxygen reduction reaction (ORR), Nitrogen-doped Graphene with Metal-organic Frameworks (N-G/MOF) nanocatalysts have shown exceptional promise in recent years. This research advances the understanding of N-G/MOF nanocatalysts by systematically examining their structural features, degradation traits, correlated performance losses, and other aspects related to catalytic activities.

First, nitrogen-doped graphene (N-G) nanocatalysts were thoroughly investigated, resolving their physical properties, the influence of synthesis parameters, molecular-level material structures, and chemical and electronic structural details of …

Data-Driven Analysis And Atomistic Simulations Of Next-Generation Materials For Energy Conversion And Storage, Yuliang Shi

Dissertations

Metal-organic frameworks (MOFs), with their modular architectures and tunable properties, represent an especially rich domain for accelerated material design and discovery for a range of diverse applications. Within this class of multifunctional materials, two-dimensional (2D) electrically conductive MOFs (EC MOFs) are of particular interest, as their 7r-stacked layered structures combine permanent porosity with electronic conductivity, enabling potential breakthroughs in energy storage, energy conversion, and quantum sensing. But the discovery and design of new EC MOFs based on expensive experimental screening is increasingly impractical due to the infinite chemical space. Furthermore, the practical implementation of EC MOFs for specific tasks depends …

Effect Of Local Steel Slag Incorporation On The Mechanical Properties Of Concrete, Ahmed Safaa Tariq Karmah, Wissam Khadum Alsaraj, Luma A. Zghair

Al-Esraa University College Journal for Engineering Sciences

The increasing interest in the production of concrete through the utilization of inexpensive materials has caused a rise in the number of studies concerning the use of materials with cementitious properties, such as Silica Fume, Slag, Fly Ash and other pozzolanic materials. Moreover, the increasing amounts of Steel Slag being produced from local factories that are being deposited without an available method of disposal provides an opportunity to harness the Slag in the production of an inexpensive, and possibly better concrete. Slag has been used as both an addition and substitution of the cement and fine aggregate. The mixtures included …

Decoding Climate Change: A Comprehensive Statistical Insight Into Temperature Anomalies In Iraq And Its Neighboring Countries, Jameel T. Al-Naffakha, Mohammed R. Al-Qassabanda, Israa Jafar

Al-Esraa University College Journal for Engineering Sciences

This study applies advanced statistical techniques, including the Mann-Kendall Trend Test and ARIMA forecasting, to validate and predict temperature anomalies across Iraq and its neighboring countries (2014–2024). Findings confirm a statistically significant warming trend (p < 0.00000005) across all nations, with Syria (1.02°C) and Turkey (0.97°C) experiencing the highest anomalies. GIS-based spatial analysis highlights regional disparities, identifying climate-vulnerable zones. The persistent rise in temperature anomalies correlates with worsening water scarcity, desertification, and extreme weather events, including prolonged droughts and heatwaves. Iraq’s peak anomaly (1.48°C) has exacerbated heat stress, agricultural decline, and reduced river inflows, while Kuwait and Saudi Arabia struggle to maintain critical infrastructure under record-breaking temperatures exceeding 50°C. These climate shifts pose severe risks to water availability, food security, and energy demand, necessitating urgent policy interventions. Key recommendations include enhanced water resource management, climate-adaptive agriculture, and renewable energy expansion. If left unaddressed, rising temperatures could destabilize the region, increasing socio-economic vulnerabilities and escalating resource conflicts. This study underscores the need for cross-border collaboration and sustainable adaptation policies to mitigate the long-term impacts of climate change in the Middle East.

Optimal Power Flow Control In The Iraqi Power Grid Using Artificial Intelligence Algorithms For Carbon Emission Reduction, Mohammed Shakir Juber

Al-Esraa University College Journal for Engineering Sciences

Iraq’s power sector remains in a protracted and severe crisis characterized by a significant mismatch between supply and demand, high levels of losses during transmission and distribution, as well as an increasing challenge to the resources base being largely unfavourably. These inefficiencies impose heavy costs on the national economy in excess of 40 billion annually and they also reinforce greenhouse gas emissions, and exacerbate environmental issues. To deal with these problems, we proposed in this paper that a new hybrid AI tool should be developed for the solution of multi-objective optimization problem based on purpose Genetic Algorithm (GA) merger with …

Applying Machine Learning Techniques For Early Detection Of Cyber Attacks On Iot Devices, Noor Adnan Allamy

Al-Esraa University College Journal for Engineering Sciences

This research designs, implements, and evaluates a machine learning-based framework for the early detection of cyber attacks targeting Internet of Things (IoT) devices, with a specific focus on the context and challenges present in Iraq. The study conducts a comparative analysis of three supervised learning algorithms—Support Vector Machine (SVM), Random Forest (RF), and Deep Neural Networks (DNN)—using a combination of benchmark datasets (NSL-KDD, CIC-IDS-2017, Bot-IoT) and a synthesized dataset adapted to simulate the Iraqi threat landscape. Key performance metrics, including accuracy, precision, recall, and F1-score, were used for evaluation. The proposed Random Forest model demonstrated superior performance, achieving an accuracy …

Ai-Enhanced Heat Transfer Optimization In Magnetic Bio-Nanofluids, Hasan Attyah Shaboot

Al-Esraa University College Journal for Engineering Sciences

This study presents a hybrid Artificial Intelligence–Computational Fluid Dynamics (AI-CFD) framework for optimizing heat transfer in magnetic bio-nanofluids subjected to external magnetic fields. Magnetic bio-nanofluids, composed of biocompatible base fluids containing superparamagnetic nanoparticles, exhibit tunable thermal and flow behavior, making them promising for biomedical and micro-cooling applications. Conventional optimization methods based on experiments or brute-force CFD are computationally expensive and limited in exploring the full design space. To overcome these challenges, an Artificial Neural Network (ANN) surrogate model was developed to predict two key performance indicators, the Nusselt number and the friction factor, with high accuracy (R² > 0.997). The surrogate …

Hybrid Experimental–Computational Study On The Energy Absorption Of Graphene Nanoplatelet-Reinforced Sandwich Structures, Hamdan Yousif Hamdan

Al-Esraa University College Journal for Engineering Sciences

Background: Sandwich composites are widely used in aerospace, automotive, and marine applications because of their lightweight, stiffness, and strength, but they remain prone to out-of-plane impacts and barely visible impact damage (BVID). Graphene Nanoplatelets (GNPs) have shown strong potential to improve fracture toughness and impact resistance. However, hybrid experimental–computational studies applying such reinforcement are still lacking in developing contexts like Iraq, where practical and accessible solutions are essential. Aims: The study investigates the effect of GNP reinforcement on the low-velocity impact behavior and energy absorption of glass fiber/epoxy sandwich panels with PVC foam and balsa wood cores. Objectives include fabricating …

Effect Of Thick Closed Walls Of West And South Elevations Of Iraqi Middle And South Territory Housing Building On Reducing Energy Use, Abeer Qasim Jbur, Shaimaa M. Hamza, Mayyadah Lutfi Abdulwahhab

Al-Esraa University College Journal for Engineering Sciences

Thermal insulation is one of the most important factors in achieving sustainability, increasing efficiency, and reducing energy consumption, but modern insulation materials are expensive, in addition to their availability. Therefore, through our research, we resorted to investigating the issue of reducing thermal load in buildings through the use of thick-walled facades in the southern and western facades, where we studied a building with two windows with windows on the southern and western facades and another without these windows and with thick walls, for two locations, the first in central Iraq, which is the city of Baghdad, and the second in …

The Impact Of Ethyl Levulinate Additive On Diesel Engine Performance And Emissions: An Experimental Study, Maha Ali Ghadbaan

Al-Esraa University College Journal for Engineering Sciences

This study explores the environmental and operational impact of adding Ethyl Levulinate—a biodegradable ester derived from biomass—to diesel fuel. A fuel blend known as B5El6 (comprising 5% biodiesel and 6% Ethyl Levulinate) was prepared and tested experimentally using a single-cylinder diesel engine operating at a constant speed of 1500 rpm under full load conditions. Performance metrics and emission data were recorded, and a Life Cycle Assessment (LCA) was conducted using the IMPACT2002+ methodology.

The results revealed that B5El6 significantly reduced greenhouse gas emissions (100 kg CO2 eq) and improved ecosystem quality. However, it presented challenges in terms of human health …

The Role Of The Scenario In Formulating The Contemporary Architectural Text, Rounaq Arif Mohsin, Abbas Ali Hamza, Bashar Shamil Alkhafaji

Al-Esraa University College Journal for Engineering Sciences

In order to create an integrated architectural text, which is a complicated art that blends beauty and practical elements, a rigorous design procedure is necessary. In this situation, the scenario’s role becomes crucial in developing the current architectural text and directing architectural approaches. In order to better understand how the scenario influences the design process and the interactions between various architectural aspects, this project intends to explore and analyze the impact of the scenario in developing and refining architectural text formulation approaches.

The study looks at the idea of a scenario and how it has been used in architecture, as …

Investigation Of Some Physical Properties Of Slurry Infiltrated Fibrous Concrete (Sifcon) Under Different Curing Times, Rand Kh. Mahmoud, Mohmmed Juad Khadhim, Fayq Hasan Jabbar

Al-Esraa University College Journal for Engineering Sciences

This research studied the effects of different types fibers (Basalt, Carbon and Basalt-Carbon hybrid mix) and curing ages (7, 14, 28 and 56 days) on some physical properties of - Slurry infiltrated fibrous concrete (SIFCON). Density, ultrasonic pulse velocity UPV, Poisson’s ratio and water absorption were measured for the experimental study with 30% cement replacement by Class F fly ash to increase sustainability. It was found that properties were significantly affected by the type and dosage of fiber admixture. The UPV was enhanced by basalt fibers and the absorption reduced up to an optimal range of 3–5% after which agglomeration …

Use Of Generative Ai In Academia: Collaborative Autoethnographic Perspectives From Nnes And Nes Scholars, Tianshi Hao, Ziyue Guo, Jade Winn, Paul Sparks

The Qualitative Report

The advancement of Generative AI (GenAI) has shaped the ways people learn, teach, and perform research in the field of academia. However, there is a lack of studies that explore how GenAI makes differences on both Native English Speaking (NES) and Non-Native English-Speaking (NNES) scholars' academic work and experiences. This study aims to examine the experiences and perceptions of two Asian NNES Ph.D. students and two American NES professors regarding the use of GenAI tools in their academic work, through a Collaborative Autoethnography (CAE) approach. Data were collected through individual and group reflections, analyzed using the Technology Acceptance Model (TAM). …

Future Teachers’ Views On Their Science Teachers: A Case Of Turkey, Mehmet Karakaş

The Qualitative Report

Here future elementary and middle school teachers reflect on their experiences with science teachers encountered throughout their education and highlight their characteristics. The aim of the study was to create a program where teachers were given the explicit opportunity to reflect on their experiences through journaling that promoted reflective thought. Participants were 173 non-science and 120 science major prospective teachers enrolled in a small university in northeastern Turkey. Data were collected using document analysis. Findings show that effective science teachers do experiments, use teaching materials, and show special interest in students; also, their positive personality affected students’ positive attitude towards …

Delayed Management Of Bilateral Massive Epidural Hematoma Involving Parasagittal Sinus: A Comprehensive Scoping Review From Indonesian Perspectives, Wihasto Suryaningtyas, Alivery Raihanada Armando, Candra Dwantara Ramadhan, Muhammad Fadhil Kamaruddin, Ramadhani Rizki Zamzam, Nathania Nathania

Folia Medica Indonesiana

Introduction: Vertex epidural hematomas (VEDH) involving the superior sagittal sinus (SSS) are rare, critical injuries often complicated by massive venous hemorrhage. This study evaluates the clinical outcomes of VEDH and identifies systemic barriers contributing to treatment delays in Low- and Middle-Income Countries (LMICs). Methods: We present a case series of three patients managed at an Indonesian tertiary center alongside a scoping review of 33 studies. Delayed management was defined as prolonged injury-to-surgery intervals resulting from referral inefficiencies and transport logistics. Results: The series highlights a unique case of a 66-year-old male with bilateral VEDH and SSS laceration who underwent surgery …

Prediction Of Maximum Local Scour Depth Due To Horizontal Jets Of Flushing Gate Using Artificial Neural Network, Adhy Kurniawan, Muhammad Sulaiman, Agus Maryono, Bambang Agus Kironoto, Amalia Ula Hazhiyah

Makara Journal of Technology

Local scour is a serious concern for hydraulic engineers. To maintain the reservoir capacity, flushing accumulated sediment is necessary, resulting in a turbulent and scouring jet from the flushing gate. Predicting the maximum scour depth from these water jets is crucial for civil engineers. Despite many proposed equations, one have shown consistent applicability due to the complex nature of the process. Ensuring accurate prediction between hydraulic parameters and the geometry of the scour hole in prototype experiments remains a key issue. To address this issue, this paper examines the use of artificial neural network (ANN) analysis as a computing device …

Digital Twinning To Advance Effluent Water Treatment For Pulp And Paper Mills: A Data-Driven Approach For Process Optimization, Fatima Iqbal, Fatemeh Naeijian, Christopher Page, George Fu, Francisco Cubas-Suazo, Stetson Rowles

Civil Engineering & Construction: Faculty Publications

The pulp and paper industry is the third largest freshwater consumer and faces pressure to minimize water usage and environmental impact. Aerated stabilization basins (ASBs) play a crucial role in treating their wastewater, yet existing open-source models often fail to accurately predict treatment efficiency across varying conditions. This study addresses this gap by advancing ASB modeling for ultimate oxygen demand prediction. Specifically, we improved accuracy with variable temperature corrections and incorporating uncertainty to capture the variability in outputs. The models demonstrated strong predictive performance for ultimate oxygen demand (mainly carbonaceous and nitrogenous biochemical oxygen demand) with R2 values ranging from …

Smart Building Rating System: A Comparative Analysis Of National And International Rating Systems, Amanah Hamidah, Mohammed Ali Berawi, Mustika Sari, Gunawan Saroji

CSID Journal of Infrastructure Development

Smart buildings have become a key part of the Fourth Industrial Revolution, driven by the need for efficient, sustainable, and adaptive built environments. Their importance is growing alongside Indonesia’s effort to develop smart cities. This study compares Indonesia’s national smart building certification system, established under Ministerial Regulation No. 10 of 2023, with two international systems: the European Union’s Smart Readiness Indicator (SRI) and the SmartScore certification. The analysis uses a literature review and comparative method to examine each system’s assessment criteria, scoring method, and certification tier. The findings show that Indonesia’s regulation includes six parameters, such as cybersecurity and operational …

“Do We Play By The Same Rules?”: Exploring The Involvement Of The Magic Circle In Navigating Relationships In Popular Multiplayer Video Games, Nathan Toshihiro A. Villanueva, Julianne Margaret M. Lao, Thea Juliana Alvarez Jocom, Liezl R. Astudillo

Sinaya: A Philippine Journal for Senior High School Teachers and Students

Just like leveling up in a game, dating has transcended the physical world into the realm of multiplayer games where individuals are able to communicate and interact with one another within the virtual third space, the magic circle–the boundary that separates life from play. Within these immersive environments, players create shared experiences that often extend beyond the screen, blurring the line between in-game interactions and real-life emotions. This blurring can lead to emotional spillovers and identity challenges as players navigate the complexities of digital intimacy in world and relationship formation. To define the fluidity of the magic circle, the study …

Digital Leadership In The Era Of Ai: Present And Emerging Research Topics, Joanna Samul, João Falcão E Cunha

European Management Studies

Purpose: This study explores the development of digital leadership in the context of rapid digital transformation and the expanding role of artificial intelligence. Its primary objective is to synthesize current knowledge on the concept of digital leadership and its core competencies and outline prospective research directions. To achieve this, the paper reviews existing research themes and examines the influence of digital leadership on various employee and organizational outcomes.

Design/methodology/approach: The research employed a systematic literature review, incorporating content analysis of 162 peer-reviewed articles retrieved from two major academic databases: Scopus and Web of Science. This approach enabled a comprehensive …

Reconstruction Of Competition Law: Preventing Monopolization Through Data Exploitation In E-Commerce, Diana Fitriana

Indonesia Law Review

Tujuan penelitian ini adalah menganalisis nilai big data dan implikasinya terhadap monopoli usaha, mengkaji perbandingan hukum persaingan usaha dan mengkaji kelemahan hukum persaingan usaha Indonesia, serta menganalisis rekonstruksi hukum Undang-Undang Larangan Monopoli dan Persaingan Usaha Tidak Sehat di masa mendatang. Penelitian ini menggunakan penelitian yuridis normatif (doktrinal) dengan pendekatan perundang-undangan dan konseptual dengan teknik pengumpulan data melalui kajian pustaka, analisis isi, dan studi kasus. Data tersebut kemudian dianalisis secara kualitatif untuk menghasilkan informasi yang komprehensif dan menarik simpulan yang relevan. Big data memiliki kapasitas untuk memicu perilaku monopoli karena mencerminkan permintaan pasar konsumen. Namun, regulasi persaingan di Indonesia kurang dalam …

Antibacterial Effect Of Moringa Oleifera Extract, Chitosan, And Calcium Hydroxide Against Porphyromonas Gingivalis: A Preliminary In Vitro Study, Adilah Zf. Djerman, Muhammad F. Sabirin, Erna A. Sutanto, Nisrina E. Nasrun, Maria Tanumiharja

Journal of Dentomaxillofacial Science

Objective: Given the role of Porphyromonas gingivalis in pulp inflammation and the potential of natural agents to enhance conventional medicaments, this study aimed to investigate the antibacterial activity of Moringa oleifera extract and chitosan, in combination with calcium hydroxide [Ca(OH)₂], against P. gingivalis

Material and Methods: The laboratory experiment used 12 groups with three replicates (36 samples in total). The groups included: (1) Moringa oleifera with Ca(OH)₂, (2) chitosan with Ca(OH)₂, and (3) M. oleifera, chitosan, and Ca(OH)₂ mixture. Each group had four subgroups: Ca(OH)₂ control and concentration ratios of 1:1, 1.5:1, and 2:1. Antibacterial activity was measured via disc …

Post–Tooth Extraction Supportive Therapy With Limosilactobacillus Reuteri Probiotic And Hyaluronic Acid Gel Combination On Collagen Density, Desak Mh. Wijayanti, Armelia S. Widyarman, Melanie H. Sadono, Firstine K. Hartanto, Komariah, Wiwiek Poedjiastuti

Journal of Dentomaxillofacial Science

Objective: Tooth extraction is a common medical procedure that can be classified classified as simple or complex, depending on the condition of the tooth. Supportive therapies are being explored to  accelerate wound healing after tooth extraction. Hyaluronic Acid (HA) and Limosilactobacillus reuteri (L. reuteri) are known to have positive effects on overall body and oral health. This study aimed to analyze the differences in collagen density during wound healing process after tooth extraction with the administration of supportive therapy by combining HA and probiotic L. reuteri in Wistar rats (Rattus norvegicus).

Material and Methods: Collagen density …

Real-Time Deep Learning Detection Of Toraja Carving Motifs Using Yolo11m For Cultural Heritage Preservation, Herman Herman, Farid Wajdi Mufti, Abdul Rachman Manga, Haidawati Nasir

Knowledge Engineering and Data Science

Toraja carvings are an important part of Indonesia’s cultural heritage, rich in symbolic, aesthetic, and philosophical meaning. However, the identification and preservation of carving motifs still rely on subjective, time-consuming manual processes, limiting scalability and inconsistent knowledge transmission. From a Knowledge Engineering and Cognitive Data Science perspective, this challenge highlights the need for mechanisms that can transform visual cultural artifacts into structured, machine-interpretable knowledge. This study investigates the use of the YOLO11m model as a data-driven approach for modeling cultural knowledge through automated detection of three Toraja carving motifs: pa_tedong, pa_kapu_baka, and pa_manu_londongan using original images collected directly from traditional …

Patterns Of Llm Weaponization: A Comparative Analysis Of Exploitation Incidents Across Commercial Ai Systems, George Antoniou

Faculty and Staff Publications & Presentations

This comparative study examines patterns of Large Language Model (LLM) weaponization through systematic analysis of four major exploitation incidents spanning from 2023-2025. While existing research focuses on isolated incidents or theoretical vulnerabilities, this study provides one of the first comprehensive comparative frameworks analyzing exploitation patterns across state-sponsored cyber-espionage (Anthropic Claude incident), academic security research (GPT- 4 autonomous privilege escalation), social engineering platforms (SpearBot phishing framework), and underground criminal commoditization (WormGPT/FraudGPT ecosystem). Through comparative analysis across eight dimensions: Adversary sophistication, target selection, exploitation techniques, autonomy levels, detection evasion, attribution challenges, defensive gaps, and capability democratization, this research identifies critical cross-case patterns …

Quantum Readiness In Cybersecurity Education: A Framework For Preparing The Next Generation In The Post-Quantum Era, George Antoniou

Faculty and Staff Publications & Presentations

This framework addresses the critical gap between post-quantum standards and workforce readiness. Shor's algorithm demonstrates that sufficiently powerful quantum computers can break the cryptographic foundations of internet security. While the cryptography research community has developed quantum-resistant algorithms, educational institutions have not prepared students to implement these solutions. Recent surveys show fewer than half of organizations have begun planning for post-quantum cryptography (PQC) transitions (Entrust Cybersecurity Institute, 2024; U.S. Government Accountability Office, 2023; (ISC)², 2024). The NICE Framework (Newhouse, Keith, Scribner, & Witte, 2017) outlines the knowledge and skills that cybersecurity professionals should possess. The framework omits post-quantum cryptography entirely. Organizations …

Rheological Characterisation Of An Optimised Epoxy–Pdadmac Integrated Chemical System For Sand Consolidation, Afif Izwan Abd Hamid, Ismail Mohd Saaid, Nur Asyraf Md Akhir, Latief Riyanto

Platform: A Journal of Engineering

Excessive sand production poses a persistent challenge to the integrity and productivity of oil and gas wells. Previous work demonstrated the effectiveness of an integrated chemical formulation in improving sand consolidation through optimised gelation time, compressive strength, and clay swelling control. The optimised integrated formulation consisted of an epoxy-to-hardener ratio of 2.5:1, 10 wt.% loading of a 3 wt.% aqueous poly(diallyldimethylammonium chloride) (PDADMAC) solution as the clay inhibitor, and 29.55 wt.% xylene. Thus, this study extends the investigation to the rheological behaviour of the optimised formulation, focusing on its injectability, flow properties, and gelation kinetics under reservoir-like conditions. Time-sweep analysis …

Cost-Benefit Analysis Of Seismic Retrofitting Methods For Irregular Rc Buildings, Wu Ye, Nabilah Abu Bakar

Platform: A Journal of Engineering

Many existing reinforced concrete (RC) buildings were constructed without considering seismic design, resulting in inadequate earthquake resistance. Irregular RC buildings, with their stiffness inconsistency, soft-story conditions, and plan asymmetries, are particularly vulnerable to seismic forces, often experiencing significant inter-story drifts and torsional effects. Addressing the critical need for cost-effective seismic retrofitting of irregular RC buildings in regions with high seismicity and limited resources, this study proposes a cost-benefit analysis framework to evaluate different retrofitting methods, namely RC jacketing, steel bracing, and a combination of both. A three-story, irregular RC building constructed before 1980 was selected as the case study. Both …

Gender Representation In Automotive Safety: The Role Of Female Crash Test Dummies, Gökçe Hilal Yavuz, Emre Arabaci, Ajab Khan Kasi

Platform: A Journal of Engineering

Vehicle testing is conducted to evaluate safety, durability, environmental compliance, and performance. Various tests, such as crash, performance, durability, environmental impact, and chemical safety, are conducted to ensure that vehicles meet regulatory and quality standards. In crash testing, anthropomorphic test devices (ATDs), commonly referred to as dummies, are used to simulate the effects of collisions on the human body and to assess injury risks. These dummies differ in terms of gender representation and design; for example, the Hybrid III model represents an average male, EvaRID represents a female, and WorldSID is used for side-impact evaluations. Anatomical and biomechanical differences between …

A Hybrid Reliability Framework For Spare Part Optimisation Under Uncertainty Of Marine Vessel Systems, Ahmad Fauzi Sagap, Ainul Akmar Mokhtar

Platform: A Journal of Engineering

Effective spare part management relies heavily on accurate reliability assessment. However, in new or complex systems, historical failure data are often limited, making traditional probabilistic reliability models inadequate. This paper proposes a hybrid reliability framework that integrates conventional reliability theory with fuzzy logic to address both aleatory (random)and epistemic (lack of knowledge) uncertainties. The approach combines crisp failure rate estimation using exponential distributions with fuzzy reliability modelling using the triangular fuzzy number (TFN) methodology and fuzzy logic to support dynamic decision-making for a maintenance plan. The degree of membership functions is derived from the TFN and provides the operator with …