Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 9 of 9 for “"TK Peirianneg drydanol. Peirianneg Niwclear Electronig"”.
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Development of a Bagging-based Ensemble Model for ECG Classification
The importance of computational methods, particularly the application of machine learning models in cardiovascular disease classification and recognition, is rapidly growing. CNN, LSTM, and Transformer models have demonstrated in various studies that, when implemented with robust architectures and …
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Machine Learning-Driven Corrosion Detection and Classification in Pipelines
Pipeline corrosion is a critical issue in the petrochemical industry, with significant implications for both operational safety and economic efficiency. This research focuses on developing a robust system for detecting and classifying pipeline corrosion using advanced signal processing techniques …
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Detection of Fusarium Head Blight on Wheat Spikelets Using a Multi-Scale Feature Fusion CNN Model
Fusarium head blight (FHB) is a globally significant fungal disease that severely impacts wheat crops, leading to reduced yields, degraded grain quality, and the accumulation of harmful mycotoxins. These mycotoxins pose severe threats to human and animal health and result in substantial economic …
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Protein Function Prediction Using Graph Convolutional Network
This project advances protein function prediction by integrating protein language models (PLMs) and graph convolutional networks (GCNs), addressing the limitations of traditional methods that rely heavily on sequence similarity. The proposed model leverages diverse protein features, including …
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Bridge Pier Surface Defect Detection Based on Improved YOLOV9
This research introduces an innovative surface defect detection methodology specifically designed for bridge piers, which integrates state-of-the-art image enhancement algorithms with sophisticated target detection frameworks. This hybrid approach effectively addresses some of the inherent …
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A Malware Classification Method Based on the Multi-Layer Feature Fusion of Malware Image Representations and Opcode Markov Images
As the threat of malware to information security becomes increasingly severe, the study of efficient malware classification methods has become more urgent. This paper proposes a multilayer malware classification method based on the fusion of image representation and opcode features. By integrating …
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Optimizing Routing Strategy in Software Defined Networking
Traditional Network Architecture (TNA) is becoming inadequate due to its rigid, hardware-centric configurations, especially in environments where network conditions are highly variable. This has led to increased latency, congestion, and packet loss rates. This project aims to develop an optimized …
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The competitive advantages of hydrogen fuel cells
This study sought to investigate the competitiveness of hydrogen fuel cells. It was driven by the researcher's interest in the subject and the growing need for energy security. The study combines qualitative and quantitative data from secondary sources like research articles, government …