Among the existing palmprint recognition technologies, traditional methods cannot adaptively extract multi-level features of palmprint images to better represent image information, and methods based on deep learning f...
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The proceedings contain 34 papers. The topics discussed include: enhancing leadership and management effectiveness: leveraging actor-network theory for project risk mitigation;discovering potential founders based on a...
ISBN:
(纸本)9789897586712
The proceedings contain 34 papers. The topics discussed include: enhancing leadership and management effectiveness: leveraging actor-network theory for project risk mitigation;discovering potential founders based on academic background;emotional intelligence: predictor of success and career advancement - a survey of Bulgarian digital entrepreneurs;knowledge transfer factors for internal combustion engine (ICE) industry to electric vehicle (EV) industry by artificial intelligent: machine learning;a taxonomy for autonomous LLM-powered multi-agent architectures;towards effective ecosystems: a framework for mapping knowledge governance and management activities of innovation ecosystems constituent elements;and ZeitGeist: a generic tool supporting the dissemination of time series data following FAIR principles.
The proceedings contain 72 papers. The special focus in this conference is on Production and Industrial engineering. The topics include: A Comprehensive Overview on Additive manufacturing Processes: Materials, Applica...
ISBN:
(纸本)9789819974443
The proceedings contain 72 papers. The special focus in this conference is on Production and Industrial engineering. The topics include: A Comprehensive Overview on Additive manufacturing Processes: Materials, Applications, and Challenges;an Overview of the Untapped Potential of Soft Robotic Arms with Integration of Machining Tools;life Cycle Assessment of Abrasive Flow Machining of 3D Printed Parts: A Comparative Analysis;Modelling and Simulation of Wire DED Additive manufacturing Process;an Overview of the Recent Advances in Additive manufacturing, and Its Scope for the Benefit of Research and Development in Commercial Vehicle Industries;design and Development of Customized Helmet for Military Personnel;additive manufacturing and Sustainability: The Mediating Role of Supply Chain;leverage of Metal 3D Printing Technology in the Automotive Industry;digital Twins of Hybrid Additive and Subtractive manufacturingsystems–A Review;exploring Sustainable manufacturing: A Comprehensive Review of Literature and Practices;performance Analysis of 3D Printed Impellers for Portable Vacuum Cleaner;3D Printed Electronics: Role of Materials and Processes;electrochemical Micromachining: A Review on Principles, Processes, and Applications;friction and Wear Characteristics of Engine Oil Through Four-Ball Tester;recent Trends in 4th Industrial Revolution for A Sustainable Future–A Review;AI Control of EMG Sensor data for 3D Printed Prosthesis Hand.
Assembly sequence planning is acknowledged as a pivotal aspect of the assembly process, playing a vital role in the realization of production automation and the assembly and disassembly of equipment. It is a current r...
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Pre-trained code models have achieved promising results in the vulnerability detection field. The prevailing approach is to adapt these models with vulnerability datasets using inefficient full-model fine-tuning. Thes...
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A vast web of information i.e. knowledge forms the backbone of intelligent systems. Unstructured data poses challenges in terms of information retrieval, scalability and semantic ambiguity. Possible solutions for many...
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How does cohort composition affect the outcomes of accelerator participants? Literature on inter-firm and peer learning in entrepreneurship, provides mixed predictions: seeking diverse knowledge and being different vs...
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In the manufacturing industry, skilled employees have conventionally judged abnormalities in products and machines by listening to the operating sounds of the machines. However, there are problems with the human ear, ...
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Research on knowledge sharing, participative leadership, and exploitation-exploration has demonstrated its influence on high-performance work systems (HPWS) and the quality of employee performance. In the context of e...
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Text Similarity (TS) is a fundamental Natural Language Processing (NLP) task with widespread applications, such as information retrieval, question answering, and dialogue systems. Among the various methods to address ...
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ISBN:
(纸本)9798350386783;9798350386776
Text Similarity (TS) is a fundamental Natural Language Processing (NLP) task with widespread applications, such as information retrieval, question answering, and dialogue systems. Among the various methods to address Text Similarity, pre-training and fine-tuning paradigm is a promising solution. However, despite its prevalence, current fine-tuned TS model relies heavily on pre-training without domain-specific knowledge, which may result in neglecting word-level information in the language without explicit word segmentation such as Chinese. Moreover, insufficient contextual information learning would result in poor semantic disambiguation in short texts. To address the challenges, We propose a framework named CTSP (Chinese Text Similarity Prediction) that enhances Chinese Text Similarity (TS) through the integration of Word Input, Self-Attention Interference, and Sentence Pairs Classification. In particular, our framework has demonstrated a notable 2% F1 score improvement on the ATEC dataset.
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