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International Journal of Mathematical, Engineering and Management Sciences
Scopus
ISSN 2455-7749 · Ram Arti Publishers · 825 artikel di indeks
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Artikel Jurnal Teks lengkap
Deep Learning Based Cosine Text Feature Extraction from Fuzzy Filter Quality Improved Compressed Image Documents
With the surge of process modernization and enhanced data management, the world is advancing towards digitization and automation more than was presumed. The Internet is becoming one of the most favored means of communication and multimedia, coupled with data compression methods, plays a crucial…
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Performance Evaluation of a 112‑Gbps Dual‑Polarization 16‑QAM Coherent Optical Fiber Link with DSP‑Enabled OSNR and Reach Optimization
This paper presents a numerical investigation of a 112 Gbps dual‑polarization (DP)-16-quadrature amplitude modulation (QAM) coherent optical fiber link employing a digital signal processing (DSP) chain that includes dispersion and nonlinearity compensation, adaptive equalization, frequency‑offset…
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Gamification as a Strategy to Boost Hedonic and Utilitarian Value for Increased User Satisfaction and Loyalty with a PLS-SEM Approach
The electronic wallet market in Indonesia is growing rapidly, yet the primary challenge remains low user loyalty due to intense market competition and the tendency of users to switch applications for promotions. This study explores how gamification features build user loyalty by generating…
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Application of the Finite Element Method for Stress Evaluation of a Gasoline Engine Crankshaft under Turbocharged Conditions
Turbocharging is applied to internal combustion engines to improve power density and fuel economy, and is used broadly. This can be especially beneficial if used in conjunction with engine downsizing to enable efficient city driving while maintaining the necessary power output for highway speeds…
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Integrated Framework of Key Facilitators, Motivators and Relief Aids for Flood Resilient Humanitarian Supply Chain
This paper aims to identify, analyze, and prioritize the key supply chain facilitators, their associated motivators, and the relief aids that enable an agile, responsive and resilient Humanitarian Supply Chain (HSC) for flood relief, using Bihar (India) as a case study. A novel three-level decision…
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An Economic Production Quantity (EPQ) Model for Multi-Product Manufacturing with Consideration Towards Complementary Price-Dependent Demand and the Possibility of Product Recovery
In production industries such as stainless steel manufacturing, a shared resource (also referred to as a constrained resource) can produce multiple complementary products that are consumed together. The production process yields defective outputs that can be recovered through reannealing and…
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A Semi-Parametric Self-Exciting Software Reliability Model with Time-Varying Base Intensity and Shallow Neural Kernel
Software reliability modeling is essential for assessing fault-detection behavior and predicting future software failures during the testing phase. Traditional nonhomogeneous Poisson process (NHPP)-based software reliability models (SRMs) are mathematically tractable, but they do not explicitly…
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Attribute Reduction with Fuzzy Weighted Neighborhood Rough Sets
Neighborhood rough sets (NRSs) have been widely recognized as an efficient tool for solving attribute reduction problems in numerical data. In constructing neighborhood information granules, many existing extensions introduce weighting mechanisms for conditional attributes to quantify their…
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Multi-Fault Diagnosis in Solar Panels using Hybrid Feature Fusion Approach
The use of photovoltaic (PV) systems is growing as a green energy source; but their output is highly dependent on environmental and operational faults including soiling and shading conditions. However, despite the successful application of previous deep learning approaches for single-fault…
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CRISP-ML(QS): Embedding Sustainability in AI-ML Development Lifecycle
Artificial Intelligence (AI) in contemporary industry and society is omnipresent, with its applications permeating across enterprise functions such as manufacturing, supply chain and research & development, and enterprise goals such as efficiency, innovation, and sustainability. However, an…
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A Cross-Architectural Comparison of Metaheuristic Algorithms for Capacitated Vehicle Routing in Urban Waste Collection Systems
Collection of MSW generally accounts for 60-80% of total budgets required for waste management services. Just take into account the fact that the urban centers in India alone generate more than 170,000 tons of MSW on a daily basis (CPCB, 2022). Thus, any inefficiency of collection routes translates…
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The Impact of Financial Development, Political Stability and Foreign Direct Investment on Greenhouse Gas Emissions in BRICS Countries
This study examines the effects of financial development, political stability, renewable energy, foreign direct investment, and national income on greenhouse gas emissions in the BRICS countries by employing the Augmented Mean Group (AMG) estimation method over the period 2002–2021. The BRICS…
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Impact of Health Awareness and Price Sensitivity on Inventory Decisions for Organic and Non-Organic Products under Preservation Investment
Driven by post-COVID-19 health awareness, consumer demand for organic food products has surged. As these products lack chemical preservatives, their rapid deterioration necessitates significant investment in specialized preservation technology. To guide retailers managing this complex environment…
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ROHG-BXG: Robust Outlier Handling with GAN and BOA-Optimized XGBoost for Heart Disease Prediction
Heart disease (HD) is a major cause of death globally. Early and accurate prediction is crucial for effective clinical decision making. However, the available datasets in the healthcare domain are prone to data noise, structural outliers, and data imbalance, which adversely affect the performance…
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Optimization of a Fuzzy Inventory Model with Quadratic Demand, Time-Dependent Costs and Shortages Using the Convergent Gradient Adaptive Search Algorithm
Inventory decisions for deteriorating items become complex when demand varies over time and cost parameters are uncertain. This study develops a fuzzy inventory model with quadratic demand, time-dependent holding cost, time-dependent deterioration and fully backlogged shortages. The ordering…
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Ensemble Deep Learning Models for Bitcoin Price Prediction Using BiLSTM, GRU and CNN
Bitcoin has gained greater attention as an investment asset in the past few years because of the tremendous price swings in cryptocurrencies. However, its volatility makes it difficult to make accurate predictions that inform investment decisions in the cryptocurrency market. Many researchers and…
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Kink and Anti-Kink Wave Solutions of the Forced Schamel KdV Equation and its Stability Analysis
In this paper, we solve the Schamel Korteweg-de Vries (Schamel KdV) equation with the help of the Kudryashov expansion technique. The Schamel KdV equation is important in various physical contexts, particularly in wave phenomena across different media. It is relevant in non-linear optics, plasma…
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Barriers to the Adoption of Industry 4.0 Technologies in the Digital Agri-Food Supply Chain
Food waste in the agricultural sector remains a critical challenge with far-reaching impacts for food security and resource efficiency. In response, digitalization has increasingly been integrated into the Agri-Food Supply Chain (AFSC) to ease these losses. However, before effective digital…
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A Multi Objective Sustainable Queuing Supply Chain Model with Learning Effects and Fuzzy Environment
The present paper deals with a fuzzy-based supply chain model with the effect of learning for the supply chain under queuing theory, where carbon emission policies are allowed. Nowadays, carbon emissions affect the environment and ordering policies of industries. It is considered that storage items…
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FedEye: Detecting Diabetic Eye Diseases using Federated Deep Learning and Handling Data Heterogeneity with Fedprox Aggregation
Diabetic Retinopathy (DR), Diabetic Macular Edema (DME), and glaucoma are significant ocular diseases that severely impair vision and require early automated detection for effective clinical management, but the traditionally adopted centralised deep learning based detection poses serious privacy…