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Decision Making for Fast Productivity Ramp-Up of Manufacturing Systems
Frequent changes in demand and production context call for frequent modifications in manufacturing systems, which can be realized by...
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Artificial Intelligence for Production Management and Control Towards Mass Personalization of Global Networks
Companies operating in global production networks should handle the complex, uncertain, and volatile environment, making them more vulnerable to...
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Digital System Design Examples
In this chapter, we will discuss FPGA implementation of some of the digital systems to give an idea to the readers how complex signal, video or image...
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Neural Networks to Infer Traditional Chinese Medicine Prescriptions from Indications
Ith increasing digitization of Chinese medicine-related books and extraction and analysis of the ingredients in herbs, it now becomes feasible to use...
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Factor Analyses on Positive and Negative Evaluations of Games against Go Programs
Analyzing users’ preferences is important for many platforms to further improve users’ satisfaction or make recommendations. This is the same for...
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An Empirical Analysis of Gumbel MuZero on Stochastic and Deterministic Einstein Würfelt Nicht!
MuZero and its successors, Gumbel MuZero and Stochastic MuZero, have achieved superhuman performance in many domains. MuZero combines Monte Carlo...
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Impression Effect of Using Politeness Theory by Educational-Support-Robot that Suggest the Number of Problems by Real-Time Dialogue System
In recent years, educational-support-robots have attracted much attention. In conventional educational-support-robots, the number of problems to be...
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Lay Summarization of Biomedical Documents with Discourse Structure-Based Prompt Tuning
Transforming complex biomedical texts into accessible lay summaries is a critical endeavor in Natural Language Generation (NLG). This study addresses...
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Deep Learning for Journalism: The Bibliometric Analysis of Deep Learning for News Production in the Artificial Intelligence Era
This research aims to evaluate the articles published from 2018 to 2023. We focused on the deep learning issues that have risen in the last decade....
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Integration of Convolutional Neural Networks and Autoencoding for Generating Reconfigurable Intelligent Surfaces
This paper presents a method utilizing convolutional neural networks (CNN) and autoencoding for generating a reconfigurable intelligent surface (RIS)...
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Host’s Assistant: Leveraging Graph Neural Networks for Daily Room Rate Prediction on Online Accommodation Sites
Pricing has always been an important topic. It takes a lot of effort and time from the most traditional economic point of view. Therefore, many...
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Optimizing 3D Object Detection with Data Importance-Based Loss Reweighting
With the advancement of AI technology, deep learning-based intelligent driving assistance systems have seen substantial growth. However, 3D object...
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Automatic Identification of Table Contents in Electronic Component Specifications of EDA
With the rapid advancement of technology, the electronics industry has flourished in recent decades. Electronic products such as computers, mobile...
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The CHIP 2023 Shared Task 6: Chinese Diabetes Question Classification
Medical question classification is one of essential tasks in the processing of medical question data for enhancing the capability of medical...
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ECNU-LLM@CHIP-PromptCBLUE: Prompt Optimization and In-Context Learning for Chinese Medical Tasks
Our team, ECNU-LLM, presents a method of in-context learning for enhancing the performance of large language models without fine-tuning in the 9th...
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Innovative Design of Large Language Model in the Medical Field Based on chip-PromptCBLUE
This article introduces the research content and results based on the CHIP-PromptCBLUE (Chinese Biomedical Language Understanding Evaluation)...
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Chinese Diabetes Question Classification Using Large Language Models and Transfer Learning
Type 2 diabetes has evolved into a significant global public health challenge. Diabetes question-answering services are playing an increasingly...
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Chinese Biomedical NER Based on Self-attention and Word-Relation Decoding Strategy
Biomedical named entity recognition plays a crucial role in advancing smart healthcare tasks. However, the scarcity of biomedical data and the...
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From Tweets to Token Sales: Assessing ICO Success Through Social Media Sentiments
With the advent of social network technology, the influence of collective opinions has significantly impacted business, marketing, and fundraising....
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Construction of Academic Innovation Chain Based on Multi-level Clustering of Field Literature
Depth exploration and display of the potential correlation of innovation point can be helpful for relevant work such as field innovation discovery...