With the rapid growth of network technology and data storage, big data applications have expanded significantly, making data mining essential for extracting valuable insights. However, protecting sensitive information...
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The acoustic background plays a crucial role in natural conversation. It provides context and helps listeners understand the environment, but a strong background makes it difficult for listeners to understand spoken w...
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Time series data is used in several cutting-edge and innovative technological industries, including finance, economics, meteorology, supply chain management, and health care. Accurate forecasting of time series data i...
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Fast shipping and efficient routing are key problems of modern logistics. Building on previous studies that address package delivery from a source node to a destination within a graph using multiple agents (such as ve...
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Mobile Edge Computing has emerged as a transformative technology, enhancing the efficiency of internet community platforms by enabling real-time data processing and analysis at the network's edge. These platforms ...
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Mobile Edge Computing has emerged as a transformative technology, enhancing the efficiency of internet community platforms by enabling real-time data processing and analysis at the network's edge. These platforms facilitate the exchange of user opinions and ideas, providing valuable insights into user attitudes and preferences. Despite advancements in Mobile Edge Computing, challenges persist in effectively categorizing customer reviews due to latency, data scarcity, and overfitting issues in computational models. This study integrates natural language processing techniques with edge computing infrastructure to analyze reviews closer to their source, thereby minimizing latency and improving overall performance. To enhance the detection accuracy in Mobile Edge customer reviews, this paper proposes an innovative approach called the Ensemble Sparse Support Vector L1 Regularization-based Crossover Discrete Mycorrhized Algorithm. Pre-processing steps, such as tokenization, lemmatization, and stemming, are employed to improve data quality. Feature extraction is performed using a stacked autoencoder, which incorporates multiple layers to address data scarcity issues. To optimize the performance of the Sparse Support Vector L1 Regularization, a novel Crossover Discrete Mycorrhized Optimization Algorithm is introduced, mitigating overfitting and improving classification accuracy. The proposed approach is validated using datasets such as the Mobile Recommendation System Dataset, Mobile Positioning Dataset, Mobile Edge Distance Analysis Dataset, International Phone Checker API, and Financial Fraud Detection Dataset. Experimental results demonstrate superior performance, achieving 98.52% accuracy, 98.39% precision, 98.28% recall, and 98.21% F1-score in aspect category detection. The proposed method addresses critical gaps in latency reduction and data processing accuracy in MEC environments by significantly improving reliability and efficiency in customer review analysis. These
Natural language processing (NLP) has witnessed significant advancements in recent years, particularly in improving question-answering (QA) systems for well-resourced languages such as English. However, the developmen...
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ISBN:
(数字)9798350357509
ISBN:
(纸本)9798350357516
Natural language processing (NLP) has witnessed significant advancements in recent years, particularly in improving question-answering (QA) systems for well-resourced languages such as English. However, the development of such systems for low-resource languages, including Bengali, remains insufficiently explored. This study proposes an approach to developing a Bengali QA system utilizing the Llama-3.2-3B-Instruct model, leveraging transfer learning techniques on a synthetic dataset derived from the SQuAD 2.0 benchmark. The experiments achieved an F1 score of 42.77%, marking a 4.02% improvement over the previous best performance of multilingual BERT (mBERT) variants. These results establish a benchmark against human responses and underscore the potential of transfer learning in advancing QA capabilities for Bengali and similar low-resource languages.
This paper explores into an indepth analysis of consumer behavior on an e-commerce platform, extending the study period to include November 2019 through February 2020. Looking at user interactions that come under the ...
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ISBN:
(数字)9798331538538
ISBN:
(纸本)9798331538545
This paper explores into an indepth analysis of consumer behavior on an e-commerce platform, extending the study period to include November 2019 through February 2020. Looking at user interactions that come under the categories of views, carts, purchases, and removals from cart along with process discovery visualizations will help identify complex patterns of engagement, measure the impact of interface changes and quantify marketing intervention's successes. This research uses sophisticated data analytics through process mining to provide recommendations for improving the e-commerce journey through increased user satisfaction and better conversion rates.
This work analyzes the computing performance of distributed control systems in IEC 61499 on two hardware devices, Dell XPS workstation and Raspi 4B. Based on the test IEC 61499 application, three different system conf...
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ISBN:
(数字)9798331521950
ISBN:
(纸本)9798331521967
This work analyzes the computing performance of distributed control systems in IEC 61499 on two hardware devices, Dell XPS workstation and Raspi 4B. Based on the test IEC 61499 application, three different system configurations are tested to simulate the distribution options of singleprocess and single-thread, multi-threading, and multi-process on both hardware platforms. Experimental results show that multiprocess configurations yield more consistent execution time due to dedicated resource allocation, while multi-threading, though resource-efficient, can lead to latency variability. These results aim at help in choosing optimal configurations and selecting hardware for performance in distributed automation systems.
As digital marketing becomes more and more crucial in today’s business strategies, the issue of click fraud. Which aims to deplete advertising budgets through activities. Has grown, leading to the need, for defenses....
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