2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)最新文献_第4页

A Classification System of Career Guidance Questions Based on Natural Language Processing and Supervised Machine Learning Techniques 基于自然语言处理和监督机器学习技术的职业指导问题分类系统

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152874

Mohamed-Amine Ouassil, Mouaad Errami, Rabia Rachidi, S. Hamida, B. Cherradi, A. Raihani

引用次数: 0

Thermally-induced flow in an annulus of two concentric circular cylinders analysis using an incremental MeshFree approach 采用渐进式MeshFree方法分析两个同心圆柱环空的热致流动

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152967

Boutayna Laasl, Youssef Hilali, S. Mesmoudi, Oussama Bourihane

引用次数: 3

Predicting stock price using LSTM and Social Media dataset 利用LSTM和Social Media数据集预测股票价格

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152930

Mariame Tarsi, Samira Douzi, A. Marzak

引用次数: 0

Investigating the Performance of BERT Model for Sentiment Analysis on Moroccan News Comments BERT模型在摩洛哥新闻评论情感分析中的表现研究

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152965

Mouaad Errami, Mohamed-Amine Ouassil, Rabia Rachidi, B. Cherradi, S. Hamida, A. Raihani

{"title":"Investigating the Performance of BERT Model for Sentiment Analysis on Moroccan News Comments","authors":"Mouaad Errami, Mohamed-Amine Ouassil, Rabia Rachidi, B. Cherradi, S. Hamida, A. Raihani","doi":"10.1109/IRASET57153.2023.10152965","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10152965","url":null,"abstract":"Sentiment analysis is the field of determining the attitude or emotions expressed in text, which has become popular due to the rise of social media. AI, ML, and DL have greatly impacted the field of NLP and there have been efforts to improve the accuracy of sentiment analysis using linear models and deep neural networks. The analysis of emotions and feelings in Natural Language Processing is a fascinating area of research that aims to understand people's psychological state through their written opinions. Transformer-based models have been found to be highly effective in sentiment analysis and are currently the best option for many languages. However, sentiment analysis in Arabic still requires improvement, particularly in the tokenization stage. This article conducts a comparative study of various Bidirectional Encoder Representations from Transformers (BERT) models and found that MARBERT is the top performer in terms of classification quality and accuracy compared to other Arabic BERT models.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125515051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Pinch Method of a Moroccan Milk Pasteurization Process 摩洛哥牛奶巴氏灭菌过程的捏法

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10153006

Najwa Jbira, S. Mounir, Anass Lebnaiti

引用次数: 0

Design of a Compact 2.4 GHz Rectangular Patch Antenna 小型2.4 GHz矩形贴片天线的设计

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152895

Imad El Hajjami, B. Benhala, Mohammed Guerbaoui

引用次数: 0

Accounting for Prediction Uncertainty from Machine Learning for Probabilistic Design 基于机器学习的概率设计预测不确定性计算

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152879

Xiaoping Du

{"title":"Accounting for Prediction Uncertainty from Machine Learning for Probabilistic Design","authors":"Xiaoping Du","doi":"10.1109/IRASET57153.2023.10152879","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10152879","url":null,"abstract":"Computational or simulation models derived from domain physics principles are commonly used in engineering design. But the models are often expensive. Machine learning is increasingly used to generate surrogate models to replace the computational models. Almost all machine learning models have errors, and the errors are unknown at a new design point. The model error can be estimated by quantifying the model uncertainty, and the estimated model uncertainty is now available in many machine learning techniques. This study uses a shaft design to investigate the effects of model uncertainty of surrogate models on the design result when the design is also subject to data (aleatory) uncertainty, which comes from the randomness in the model input. Gaussian process regression is used for the design. This study also discusses the unique features of model training of the surrogate for a computational model, such as noise-free training points and uncertainty free in prediction at a training point. The study indicates that different treatments of model and data uncertainties can result in quite different designs and that new ways for predicting design performance and optimizing design need to be developed.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133938471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Agricultural IoT technology: an overview of usages, technologies, and challenges 农业物联网技术:用途、技术和挑战概述

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10153038

Ayoub Babakhouya, A. Naji, Abdelhalim Hnini, Abdelaziz Daaif

{"title":"Agricultural IoT technology: an overview of usages, technologies, and challenges","authors":"Ayoub Babakhouya, A. Naji, Abdelhalim Hnini, Abdelaziz Daaif","doi":"10.1109/IRASET57153.2023.10153038","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10153038","url":null,"abstract":"The advancement of technologies has proven to be beneficial for several fields, one of which is the agri-food industry, the usage of various principles such as Internet of Things is expected to further enhance agricultural good's quality and quantity. Incorporating IoT technologies into the agrarian field will help face the need to meet the increase in food demand and ensure better food quality and safety. The use of sensors yields a large amount of data (temperature, humidity, and soil moisture among others) that needs to be processed to extract valuable information, applying data analytics will enable farmers to derive insights and predict potential crop disease risk. The purpose of this research paper is to highlight the vital role that applying IoT systems in the field of agriculture plays in the betterment of the agricultural and food industries. The paper will examine the main usages of IoT in agriculture, the technologies and sensors being used in IoT -based systems for the improvement of agriculture, as well as the challenges that hinder the use of IoT in the agrarian field.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132766042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Image Mining: Improving Image Retrieval Technique Using Variational Models and Relevance Feedback 图像挖掘:利用变分模型和相关反馈改进图像检索技术

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152921

Ennouni Assia, S. Abdelouahed, Aarab Abdellah

引用次数: 0

Smart Wall Incorporating a New Composite Based on Sisal Fiber and Phase Change Material 结合基于剑麻纤维和相变材料的新型复合材料的智能墙

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152996

O. Imghoure, A. Zaite, N. Belouaggadia, M. Ezzine, R. Lbibb

{"title":"Smart Wall Incorporating a New Composite Based on Sisal Fiber and Phase Change Material","authors":"O. Imghoure, A. Zaite, N. Belouaggadia, M. Ezzine, R. Lbibb","doi":"10.1109/IRASET57153.2023.10152996","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10152996","url":null,"abstract":"The building sector has a significant potential for improving thermal performance and reducing ecological footprint. An effective design of the building envelope and structure, along with appropriate choice of materials and construction systems, can contribute to decreased energy consumption. In this study, we focus on the development of an innovative composite material called ‘SLNT-PCM’, which combines a phase change material (PCM) with a textile-based material, with the aim of achieving thermal comfort in buildings. To evaluate the thermal behavior of the ‘SLNT-PCM’ composites, numerical simulations were conducted. The results, including temperature contours in different configurations, confirmed the beneficial effect of integrating PCM in the wall structure for stabilizing the internal temperature of the wall. This study contributes to the understanding of the potential of ‘SLNT-PCM’ composites for enhancing thermal performance in buildings and reducing energy consumption. The results showed that the integration of PCM in the wall structure led to a considerable gradient of 6°C between the inside and outside temperature, with the interior temperature stabilized at a comfortable zone of 26°C. This significant improvement in thermal performance is attributed to the efficient combination of natural and ecological insulation with microcapsules of PCM in the composite material.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121996163","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0