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Journal of Applied Science and Engineering
Scopus
ISSN 2708-9967 · Tamkang University Press · 1,096 articles in the index
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Journal Article
Research on Enterprise Financial Performance Evaluation Based on Deep Convolutional Neural Network
Financial Performance Evaluation is the process of assessing a company’s financial health, profitability, and growth potential using key financial indicators and metrics. The study proposes a data-driven framework for the integrated evaluation of enterprise financial performance by considering both…
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Journal Article
Improving the efficiency of contextual semantic matching of terms in fashion English translation based on the Dual Encoder mechanism
In the fashion e-commerce domain, accurately translating domain-specific content is essential to maintaining the integrity of the brand identity, cultural specificity, and customer connection. Contrasting general translation tasks, fashion translation is more challenging because it involves rapidly…
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Journal Article
Analysis of the Shear Strength of Expansive Soil Stabilized with Sand and Coal Bottom Ash Columns
Soil stabilization refers to a range of techniques and methods used to upgrade the engineering properties of soil, transforming it from an unconsolidated state into a more reliable medium. Expansive soils can cause serious problems, such as cracks and building damage, because they swell and shrink…
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Journal Article
Optimization-Driven Framework for High-Precision Wind Speed Forecasting: An Investigation of Advanced Computational Models
For wind energy systems to operate, plan, and be reliable, accurate wind speed forecasts are essential. Conventional methods frequently have low accuracy or processing inefficiency, which limits their use in real-time situations. this study proposes a Multi Layer Perceptron (MLP)-based Deep…
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Journal Article
Influence of processing techniques on the performance of outworn denim fabric-reinforced polymer composites
The increasing demand for environmentally friendly composite materials has driven the use of recycled textile fibers, such as outworn denim. However, beyond the type of fiber used, the overall performance of composites is strongly influenced by the fabrication technique, and the appropriate…
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Journal Article
Yoga injury risk prediction model based on generative adversarial network
Incorrect execution of yoga postures, especially in unsupervised environments, increases the risk of musculoskeletal injuries. To address this challenge, a Yoga Injury Risk Prediction Model based on a Generative Adversarial Network (GAN) is proposed, named YOGA-GAN. This model aims to predict…
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Journal Article
Analysis of the Influence of English Speaking Anxiety and Communicative Competence Based on a Neural Network Fusion Model
English-speaking anxiety significantly impacts learners’ communication, and automated diagnosis is crucial. Existing multimodal approaches face limitations in deep feature extraction and modality fusion. This study proposes MSATC, a co-attention-based multimodal fusion model. The speech S-ABHC…
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Journal Article
An Integrated Remote Sensing and GIS Approach to Evaluating the Trade-offs Between Solar Energy Deployment, Land Use, and Carbon Storage Potential
This study evaluates the trade-offs between solar photovoltaic (PV) deployment, land-use change, and vegetation carbon storage in Taiwan. Satellite imagery and official land-use datasets were used as primary data sources, while Geographic Information Systems (GIS)– based spatial overlay analysis…
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Journal Article
Eco-friendly Flax (Linum usitatissimum) Fiber/Epoxy Resin Composites for Sludge Reinforcement: Quicklime Modification, Synergistic Effect and Mechanical Performance
Sludge, with high compressibility and low strength, often fails to meet bearing capacity and deformation resistance requirements in engineering. Natural fibers have sludge reinforcement potential, yet their corrosion susceptibility and weak interfacial bonding impair service performance. In this…
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Journal Article
Construction of a Comprehensive Risk Assessment Framework for Mental Health Education Based on Big Data Prediction and Neural Networks
A risk classification framework for student mental health is proposed, combining Principal Component Analysis (PCA), Z-score normalization, and a Seven-Spot Ladybird-Tuned Dynamic Elman Recurrent Neural Network (SSL-DERNN). Model hyperparameters were tuned using a Seven-Spot Ladybird Optimization…
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Journal Article
Research on High-Quality Knowledge Acquisition Methods and Intelligent Office Knowledge Value-Added Strategies for Large-Scale Documents in the Cloud
In response to the growing demand for knowledge-intensive operations and the widespread adoption of cloud-based document management systems, this study proposes a comprehensive framework for high-quality knowledge acquisition and intelligent value augmentation in office scenarios. Addressing key…
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Journal Article
PL-RSM Model of Supercritical CO2 Fast Extraction Phase of Argan Kernel Oil
Sovová’s Broken and Intact Cell (BIC) model predicts a linear curve in the fast extraction zone. However, the extraction behavior during the initial phase is commonly nonlinear, exhibiting a decreasing trend rather than the linear response predicted by the original model. This study proposes a…
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Journal Article
Construction of Cultural Tourism Integration Knowledge Graph Method Based on Multimodal Large Models
This paper presents a multimodal large-model pipeline for constructing a cultural-tourism integration knowledge graph (CTI-KG). By harmonizing text, imagery, audio and geospatial data, the pipeline automatically extracts and links cultural entities, tourism services and intangible heritage, fusing…
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Journal Article
A Novel Sliding Mode Filter with Implicit-Euler Discretization for Simultaneous Noise Attenuation and Derivative Estimation
In control systems, obtaining reliable filtered signals and their derivatives simultaneously from noisecontaminated inputs represents a key challenge. To this end, this paper presents a novel sliding mode filter for filtering noise and estimating derivatives. The proposed filter enhances…
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Journal Article
Prediction of coal mine gas emission based on SHSCOA-BiLSTM model
Accurate prediction of coal mine gas emission is crucial for disaster prevention, yet challenging due to complex, non-stationary data and traditional models’ tendency to converge to local optima. The present study proposes a novel SHSCOA-BiLSTM model, which integrates an enhanced chimpanzee…
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Journal Article
Experimental Study on Dynamic Shear Modulus Characteristics of Unsaturated Silt Soils in the Yellow River Delta
To study the dynamic deformation characteristics of unsaturated silt in the Yellow River Delta, undrained cyclic loading tests were carried out on silt in the Yellow River Delta using the KTL dynamic triaxial apparatus. The effects of effective confining pressure σ_3, consolidation ratio k_c, and…
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Journal Article
Three-dimensional Large Eddy Simulation of the Effect of Spacing on the Flow Field Dynamic Characteristics of Three Tandem Cylinders at Subcritical Reynolds Numbers
To investigate the flow field characteristics and wake vortex shedding behind cylinders during fluid flow. This study focuses on three tandem cylinders. Large Eddy Simulation (LES) is employed to analyze the effects of varying cylinder spacing ratios ( L/D = 2 ∼ 7 ) on the lift and drag…
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Journal Article
Sequential Bound Constrained Minimization Method for Solving Complex Process System Optimization Problems
Steady-state optimization of complex process systems in engineering practice is a typical class of large-scale optimization problems. In this paper, we propose a new method, Sequential Bound Constrained Minimization (SBCM) method, for solving such optimization problems. Specifically, by introducing…
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Journal Article
Hybrid Self-Attention with Lightweight Gating for Chinese English Neural Machine Translation
This paper presents a Chinese-English neural machine-translation model that hybridizes self-attention with a lightweight gating module to better capture the distinct morphological and syntactic characteristics of the two languages. Conventional transformers treat source and target sequences…
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Journal Article
Multi-Source Spectral Learning without target-data via Dual Regression Heads and Performance-Driven Domain Adaptive Weighting
Near-Infrared Spectroscopy (NIRS) has become one of the most widely used non-destructive techniques for rapid coal quality assessment due to its efficiency, low cost, and suitability for on-site industrial deployment. However, NIRS data collected under different measurement conditions often exhibit…
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