464 hasil
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Journal of Engineering, Project, and Production Management
Scopus
ISSN 2221-6529 · Engineering, Project, and Production Management (EPPM) · 464 artikel di indeks
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Artikel Jurnal
Knowledge-Enhanced Semantic Reasoning Model for Implicit Sentiment Recognition
Existing methods for implicit sentiment identification in think tank documents face limitations in deep semantic understanding, including insufficient integration of domain knowledge and difficulty in modeling sentiment evolution in long texts. This study proposes an implicit sentiment recognition…
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Cluster Analysis of College Students' Physical Education Behavior Based on a Hybrid Algorithm of K-means and DBSCAN
Insight into students' athletic behavior patterns is critical to efficient resource deployment and enhanced engagement within higher education. This study develops a clustering method for university student sports behavior based on a hybrid algorithm of K-means and Density-Based Spatial Clustering…
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Hierarchical Optimization Strategy of Landscape Architecture Space Based on Multi-Model Coupling Calculation Method
In the context of ecological protection and regional development, reasonable planning of the spatial hierarchy of landscape architecture can significantly enhance the stability of the ecosystem. To optimize the spatial hierarchy of landscape architecture, this paper selected the A-landscape…
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Data-Driven Color Palette Optimization for Interior Decoration: A Decision-Support Framework Based on Cluster Analysis and Emotional Needs Mapping
The color selection in interior decoration design is based on the subjective aesthetic of the designer, but this can result in low design efficiency and difficulty in considering human emotional needs. To address these issues, this study proposes an objective design-assistance method based on…
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Degradation Law of Tunnel Surrounding Rock Performance and Engineering Management Measures Based on Dynamic Displacement Back Analysis
Tunnel construction is accompanied by higher risks, and the mechanical properties of the tunnel Surrounding Rock (SR) will change with the excavation of the tunnel. To better understand the performance degradation law of the surrounding rock during tunnel construction, this study selects a domestic…
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Collaborative Optimization of Micro-Textured Tool Parameters Using Support Vector Machine and Swarm Intelligence Algorithms
This study puts forward a collaborative optimization model for micro-textured tool parameters that integrates a Support Vector Machine (SVM) with swarm intelligence algorithms. The model aims to identify optimal cutting parameters for micro-textured tools. First, an optimized SVM predicts cutting…
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Analyzing and Recommending Network User Behavior Using Natural Language Processing
With the rapid development and popularization of network technology, the internet has become an indispensable part of people's daily lives. At the same time, the analysis and recommendation of online user behavior have become important links in the development of the internet. This study proposes a…
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CT-GAN-Based Engineering System for Intelligent Graphic Advertising Design
To address the inefficiency, high cost, and poor scalability of traditional manual graphic advertising design in large-scale digital marketing, where organizations face pressures of rapid content iteration, personalized targeting, and cross-departmental collaboration. This paper proposes an…
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An Economic Benefit Prediction Method for Investment Projects Based on An Improved Fuzzy Real Options Approach
To optimize current economic benefit forecasting methods and address their uncertainty and ambiguity in uncertain market environments, this study constructs a comprehensive economic benefit forecasting model for investment projects using an Improved Fuzzy Real Options (IFRO) method, a Bidirectional…
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A Deep Feature Fusion Framework for Accurate and Efficient Cross-Modal Retrieval in Digital Libraries
To address the multi-modal resource retrieval needs of digital libraries, archives, and knowledge bases, this study proposes a Feature Fusion Cross Modal Hashing (FFCMH) model. It innovatively constructs a specialized dataset (multi-level filtering + cross modal denoising), employs autoencoders for…
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A Basic Element Analysis Model for Network Service Extensibility
In order to meet the increasing demand of emerging network applications, the extensibility of network services has become a key issue in future network research. Existing research on future networks lacks consideration of the basic elements that networks should have to realize service…
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Formation of Homestay Clusters and Their Impact on Business Performance
Based on cluster theory and service industry agglomeration perspectives, this study examines how homestay clusters form in Guizhou and how clustering affects operators business performance and competitiveness. Using a two-round Delphi process (n=9 experts), we identified three dimensions of cluster…
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Steady-State Control and Optimization of Process Quality of High-Speed Unit in Wrapping Workshop
High-speed equipment in the wrapping workshop exhibits strong nonlinearity, multi-variable coupling, and frequent disturbances in actual production. This makes it difficult for the traditional control method to maintain the stable consistency of tension, material supply and rolling pressure for a…
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Student Behavior Recognition and Intervention Methods in Intelligent Classrooms Based on Deep Reinforcement Learning
In response to the problem that traditional classroom student behavior analysis relies on manual observation and is difficult to achieve real-time, precise and personalized intervention. This paper constructs an end-to-end intelligent classroom intervention system based on deep reinforcement…
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Bidirectional encoder representation transformers (BERT), pre-trained language model and long short-term memory-convolutional neural network (PLM-LCN), multi-head attention (MHA), Chinese book classification, interdisciplinary semantic understanding
A decentralized, open, and scalable P2P power exchange is necessary due to the increasing dispersion of renewable energy sources. This study presents a blockchain-based design for green power trade and data sharing that addresses sustainability, privacy, trust, and scalability. A consensus method…
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Intelligent Classification of Chinese Books in University Libraries Based on BERT and PLM-LCN
With the expansion of the collection scale of university libraries, the intelligent classification of Chinese books has become the key to improving efficiency. However, traditional classification methods have significant shortcomings in handling the complexity of Chinese semantics and…
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Effect of Social Media and Data Analysis Technology on Employee Work Motivation
There is limited research on the relationship between social media and employee motivation, specifically in the context of knowledge examination. Therefore, this study introduces data analysis technology to explore the relationship between social media and employee motivation, and proposes…
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Artikel Jurnal
Mechanical Properties and Reinforcement Design of FRP Strengthened Steel Structural Members and Joints
In view of the problems of insufficient stability, low bearing capacity prediction accuracy, and poor engineering applicability of traditional steel structure node reinforcement methods, this study proposes and verifies a systematic Fiber Reinforced Plastic (FRP) reinforcement method to improve the…
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Uncertainty-Aware Predictive Maintenance Scheduling: A Decision-Support Framework for Industrial Production Systems
Preventive maintenance in a manufacturing plant is, at bottom, a resource-allocation problem: every intervention weighs the cost of replacing a component too early against the risk of an unplanned stoppage under the challenging realities of production calendars, crew availability, and machine…
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Optimizing Resource Allocation Strategies of Multi-Tenant Cloud Platforms using Reinforce Algorithms
The resource allocation strategy of multi-tenant cloud platforms lacks adaptability and is difficult to cope with dynamic load changes, resulting in a decrease in system operating efficiency and resource utilization. To improve the overall operating efficiency of the platform. This paper proposes…