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

Data Balancing through Data Augmentation to Improve Transfer Learning Performance for Skin Disease Prediction 通过数据增强实现数据平衡以提高皮肤病预测的迁移学习性能

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152920

S. Hamida, Oussama El Gannour, Ayyad Maafiri, Yasser Lamalem, Ikram Haddou-Oumouloud, B. Cherradi

{"title":"Data Balancing through Data Augmentation to Improve Transfer Learning Performance for Skin Disease Prediction","authors":"S. Hamida, Oussama El Gannour, Ayyad Maafiri, Yasser Lamalem, Ikram Haddou-Oumouloud, B. Cherradi","doi":"10.1109/IRASET57153.2023.10152920","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10152920","url":null,"abstract":"Data balancing through data augmentation is a crucial step in improving the generalization of transfer learning for skin disease prediction. Many skin diseases, such as melanoma, are rare, and thus, the number of samples in the minority class is often limited. By using data augmentation techniques, the number of samples in the minority class can be increased, resulting in a more balanced dataset and a more robust model. In this paper, we evaluated the classification performance of the Tuned EfficientNetV2L based classifier. In the first experiment, we adopt a default dataset structure for training and testing. In the second experiment, we use the data augmentation function to balance the used dataset. The experiments are performed on a collection of medical images and associated data of skin lesions that have been sourced from various sources. In order to assess the obtained outcomes, various performance evaluation metrics were employed, including accuracy, precision, and recall. The analysis of the proposed methodology revealed that the balanced dataset improves the performance of transfer learning for skin disease prediction.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"1 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":"130647511","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

A ListNet-based Combination of Lexical and Semantic Features to Homogenize Folksonomies in Online Social Networks 基于listnet的词法和语义特征组合在在线社交网络中实现大众分类法的同质化

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152947

Fahd Kalloubi, E. Nfaoui

引用次数: 0

An advanced Photovoltaic/Thermal hybrid system with rapid heat evacuation technique 一种先进的具有快速排热技术的光伏/热混合系统

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152946

Ayoub Riad, H. Amiry, S. Touhtouh, F. Belhora, Abdelowahed Hajjai

{"title":"An advanced Photovoltaic/Thermal hybrid system with rapid heat evacuation technique","authors":"Ayoub Riad, H. Amiry, S. Touhtouh, F. Belhora, Abdelowahed Hajjai","doi":"10.1109/IRASET57153.2023.10152946","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10152946","url":null,"abstract":"The lack of efficiency in photovoltaic (PV) panels is mainly caused by the temperature elevation in the photovoltaic cells that occurs when a small amount of the absorbed solar radiation is converted into heat while producing electrical energy. However, the integration of a cooling mechanism as the bi-directional serpentine tube is capable of cooling the photovoltaic cells and producing hot water. In this work, a thermal study evaluates the Photovoltaic/Thermal (PV/ T) system's efficiency to optimize the electrical energy production. The effect of water flow rate variation was studied within the range of (0 L/min-7.4 L/min). The numerical result showed a remarkable temperature drop of 40.66% in the photovoltaic cells' temperature; from 60°C to 35.5 °C, using the tube with a water flow rate of 7.4 L/min. Thus, the proposed Photovoltaic/Thermal system shows high electrical performance and efficiency. Meanwhile, using a flow rate of 1.48 L/min, the tube provided optimum hot water at the outlet with an amount of heat of 53.6 °C. Taking into consideration that the temperature of water is 20°C at the inlet of the system. The proposed Photovoltaic/Thermal system was presented in this paper to improve the photovoltaic cells' efficiency and reduce their temperature.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"1 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":"128763496","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

Lossless Compression Technique For ECG Signals Using A-law Companding Algorithm 基于a律压缩算法的心电信号无损压缩技术

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152876

Mustapha El Hanine, Hicham Ouldzira, A. Boudaoud, El H. Abdelmounim

引用次数: 0

Passive fault tolerant control for discrete-time switched systems with multiplicative actuator faults* 具有多重执行器故障的离散时间切换系统的被动容错控制*

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10153053

Kenza Telbissi

引用次数: 0

Evaluation of User Experience in Software Product Lines Derivation Process 软件产品线派生过程中的用户体验评价

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152989

Anissa Benlarabi, A. Khtira, B. E. Asri

引用次数: 0

A New Algorithm to Compute the Correlation Matrix Implied By a Confirmatory Factor Analysis Model 验证性因子分析模型隐含关联矩阵的一种新算法

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152922

Ebnou Abdem Seyid Abdellahi, Zouhair El Hadri, M’barek Iaousse

引用次数: 0

Toward advanced driver assistance ACC and LPA based system and Model-in-the-Loop (MIL) simulations 基于ACC和LPA的高级驾驶辅助系统和环中模型(MIL)仿真

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10153058

Brahim El Boukili, L. Bahatti, M. Zaggaf

引用次数: 0

Integrating elevation and bathymetric data in GIS for a continuous 3D model of Ischia Island and surrounding seabed 在GIS中整合高程和水深数据，获得伊斯基亚岛及其周围海床的连续三维模型

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152919

E. Alcaras, Davide Morale, C. Parente, G. Prezioso

{"title":"Integrating elevation and bathymetric data in GIS for a continuous 3D model of Ischia Island and surrounding seabed","authors":"E. Alcaras, Davide Morale, C. Parente, G. Prezioso","doi":"10.1109/IRASET57153.2023.10152919","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10152919","url":null,"abstract":"3D models, particularly useful in many technical and scientific applications, can be easily created starting from cartographic data, using the tools provided by Geographic Information Systems (GIS). If you want to create a 3D model concerning both the territory and the marine areas adj acent to it, the necessary cartographic data are often present in different documentary sources. This requires some preliminary operations in order to homogenize these data, bringing them to the same cartographic datum, proj ection and scale of representation. This article aims to define an efficient procedure for the construction of a 3D model of Ischia Island and the surrounding seabed at medium scale. For the territorial part, a Digital Elevation Model (DEM) with a resolution of 2 meters is used. For the bathymetric part, the data is taken from an Electronic Navigational Chart (ENC) at a scale of 1:30,000. The two types of data differ both in the detail of information and in the altimetric datum. The territorial data is processed in order to have the elevation information at the same scale of representation as the nautical chart. The bathymetric data is traced back to the same altimetric datum of the DEM. The elevation and depth data, reported at the same projection (Universal Transverse of Mercator, UTM) and datum (WGS84), are interpolated by Ordinary Kriging imposing a resolution of 15 meters. The verifications of the level of accuracy through Cross-validation confirm the validity of the procedure performed and the quality of the model obtained.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"34 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":"128059116","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

Application of Deep Learning Based Detector YOLOv5 for Soiling Recognition in Photovoltaic Modules 基于深度学习的探测器YOLOv5在光伏组件污物识别中的应用

2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET) Pub Date : 2023-05-18 DOI: 10.1109/IRASET57153.2023.10152990

El karch Hajar, E. Rachid, Benaly Mohamed, Aherchou Youssef, Mezouari Abdelkader

{"title":"Application of Deep Learning Based Detector YOLOv5 for Soiling Recognition in Photovoltaic Modules","authors":"El karch Hajar, E. Rachid, Benaly Mohamed, Aherchou Youssef, Mezouari Abdelkader","doi":"10.1109/IRASET57153.2023.10152990","DOIUrl":"https://doi.org/10.1109/IRASET57153.2023.10152990","url":null,"abstract":"Objects detection algorithms based on Convolutional Neural Networks (CNN) are becoming dominant in many application fields due to their higher accuracy advantage over traditional algorithms. YOLO framework is one of the most popular algorithms used for object detection and has shown a comparatively similar performance to the R-CNN algorithms. This article presents real-time soiling and dust accumulation detection on photovoltaic (PV) panels based on the YOLOv5 framework. The proposed method aims to address several challenges related to the evaluation and detection of soiling status in photovoltaic systems and also offers a solution to the problem of the lack of effective evaluation methods and automatic detection technologies. It can offer several advantages over traditional methods to significantly improve the accuracy and efficiency of real-time soiling status inspection of photovoltaic panels by introducing effective evaluation techniques and utilizing automatic detection technologies. A PV system included a standalone PV module of four panels of Poly-crystalline silicon was used to validate the corresponding approach. The proposed method performed an accuracy of more than 80%. This approach can be used to build a high-performance real-time embedded system for dust and soiling recognition in photovoltaic panels based on CNNs and computer vision techniques.","PeriodicalId":228989,"journal":{"name":"2023 3rd International Conference on Innovative Research in Applied Science, Engineering and Technology (IRASET)","volume":"12 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":"132534489","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