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Explainable online health information truthfulness in Consumer Health Search
Frontiers in Artificial Intelligence, 2023 IntroductionPeople are today increasingly relying on health information they find online to make decisions that may impact both their physical and mental wellbeing.
Rishabh Upadhyay +3 more
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A large dataset of scientific text reuse in Open-Access publications
Scientific Data, 2023 We present the Webis-STEREO-21 dataset, a massive collection of Scientific Text Reuse in Open-access publications. It contains 91 million cases of reused text passages found in 4.2 million unique open-access publications.
Lukas Gienapp +4 more
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Bengali Information Retrieval System (BIRS) [PDF]
SSRN Electronic Journal, 2019 Information Retrieval System is an effective process that helps a user to trace relevant information by Natural Language Processing (NLP). In this research paper, we have presented present an algorithmic Information Retrieval System(BIRS) based on information and the system is significant mathematically and statistically.
Md. Kowsher +2 more
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Journal of Imaging, 2021 Smart agriculture is a new concept that combines agriculture and new technologies to improve the yield’s quality and quantity as well as facilitate many tasks for farmers in managing orchards.
Abdellatif Moussaid +2 more
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, 2003 Information retrieval (IR) systems aim to select relevant material from large collections of information in response to user queries. The approaches used to accomplish this have been the focus of much research and development over the past 50 years, and have led to the algorithms underlying many commercial and Web-based search engines today. This entry
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Research of the Impact of LLMs on Information Retrieval Systems and Users' Information Retrieval Behavior [PDF]
Nongye tushu qingbao xuebao, 2023 [Purpose/Significance] This article is aimed to explore the impact of artificial intelligence generation technologies such as large language models (LLMs) on users' information retrieval behavior and to suggest ideas for information retrieval systems and
GUO Pengrui, WEN Tingxiao
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Informatics, 2022 The overall goal of this study is to define an intelligent system for predicting citrus fruit yield before the harvest period. This system uses a machine learning algorithm trained on historical field data combined with spectral information extracted ...
Abdellatif Moussaid +7 more
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Citrus yield prediction using deep learning techniques: A combination of field and satellite data
Journal of Open Innovation: Technology, Market and Complexity, 2023 The goal of this paper is to develop a deep learning model for predicting citrus yield. The data used consists of two sources: (1) field data that includes information on fertilization and phytosanitary treatment products, water quantities used for ...
Abdellatif Moussaid +7 more
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Mobile Health in Remote Patient Monitoring for Chronic Diseases: Principles, Trends, and Challenges
Diagnostics, 2021 Chronic diseases are becoming more widespread. Treatment and monitoring of these diseases require going to hospitals frequently, which increases the burdens of hospitals and patients. Presently, advancements in wearable sensors and communication protocol
Nora El-Rashidy +4 more
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