2022 2nd International Conference on New Technologies of Information and Communication (NTIC)最新文献_第2页

Skyline Computation Based on Previously Computed Results 基于先前计算结果的Skyline计算

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100507

Chouaib Bourahla, R. Maamri, Said Brahimi

引用次数: 0

Towards a Framework for Context-based Online Person Identification 基于上下文的在线人物识别框架

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100494

Said Brahimi, Baha Eddine Founas

引用次数: 0

The Early Detection of Autism Within Children Through Facial Recognition; A Deep Transfer Learning Approach 面部识别对儿童自闭症的早期检测深度迁移学习方法

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100517

Lubnaa Abdur Rahman, Poolan Marikannan Booma

{"title":"The Early Detection of Autism Within Children Through Facial Recognition; A Deep Transfer Learning Approach","authors":"Lubnaa Abdur Rahman, Poolan Marikannan Booma","doi":"10.1109/NTIC55069.2022.10100517","DOIUrl":"https://doi.org/10.1109/NTIC55069.2022.10100517","url":null,"abstract":"Over the past years, autism rates have increased alarmingly, with 1 in 59 children, aged between 1 to 6 years, being affected globally. While treatment is available, if detected at a later stage or not detected at all, children must face lifelong consequences and even a reduced life expectancy. Therefore, an early diagnosis has the potential to enhance the children’s probability of having near-to-normal development. However, current methods of diagnosis are not accessible to everyone due to the high costs involved in clinical assessments and the time taken to reach a conclusive diagnosis thus leading majority of children being under-diagnosed. Deep learning has transformed multiple sectors thanks to its \"high perform a nee\" feature as opposed to traditional machine learning models and could have been long used for the early detection of autism as an attempt to reduce the affliction rates. Although autistic children have unique facial features which could be exploited using Deep Learning, not much effort has been put in that area. As such, this work takes on a Deep Transfer Learning approach for the detection of autism within children based on facial images by applying CNN-based models of ResNet50, VGG-16 and MobileNet with the latter being the most performant. After tuning, an overall accuracy of 89.5% and AUC of 0.97 were reached. Furthermore, on an endnote, the practical & ethical implications are looked at while also proposing that, as this work shows promising results, future works could look at a more real-time approach for the same.","PeriodicalId":403927,"journal":{"name":"2022 2nd International Conference on New Technologies of Information and Communication (NTIC)","volume":"27 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132120102","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: 2

Semantic segmentation of remote sensing images using U-net and its variants : Conference New Technologies of Information and Communication (NTIC 2022) 基于U-net及其变体的遥感图像语义分割:信息与通信新技术会议(NTIC 2022)

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100581

Koko Sarra, Aissa Boulmerka

引用次数: 2

Multimodal medical image fusion using guided filter and curvelet transform 基于引导滤波和曲线变换的多模态医学图像融合

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100408

Dida Hedifa, Charif Fella, B. Abderrazak

{"title":"Multimodal medical image fusion using guided filter and curvelet transform","authors":"Dida Hedifa, Charif Fella, B. Abderrazak","doi":"10.1109/NTIC55069.2022.10100408","DOIUrl":"https://doi.org/10.1109/NTIC55069.2022.10100408","url":null,"abstract":"The results of resonance magnetic imaging and computerized tomography of the target organ provide complementary information about this organ that helps the radiologist in the diagnosis process. Despite the information provided by these two techniques, the radiologist needs a single sensor result containing the information of the CT and MRI image for better diagnosis of the disease. Image fusion is the process of merging complementary data of several sensors into a unique image. In this study, we propose a new approach for fusing CT and MRI of brain images using a guided filter and curvelet transform. Our method is based mainly on three basic steps, which are as following: Firstly, Extracted detail layers from each input image adopting a guided filter. Secondly, based on removing the blurred images from the input images, clearer images are obtained. Finally, the images are combined using the curvelet transform. The proposed method has been compared to effective fusion methods. Through the obtained qualitatively and quantitatively results, the proposed method showed a good result compared to other methods of fusion.","PeriodicalId":403927,"journal":{"name":"2022 2nd International Conference on New Technologies of Information and Communication (NTIC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122341956","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

ERP Assimilation in Public Healthcare Sector: A Flexible and Efficient Approach 公共医疗保健部门ERP的同化:一种灵活有效的方法

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100615

Maya Souilah Benabdelhafid, M. Boufaida

引用次数: 0

Statistical Tool for Arabic Text 统计工具的阿拉伯语文本

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100607

Fayçal Imedjdouben

引用次数: 0

Low Cost LoRaWAN Image Acquisition System for Low Rate Internet of Things Applications 低速率物联网应用的低成本LoRaWAN图像采集系统

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100422

Pedro Correia, Marcela Gomes, Gabriel Martins, Renato Panda

引用次数: 0

Fault Prediction Using Supervised and Unsupervised Learning Algorithms in Cyber Physical Systems 基于监督和无监督学习算法的网络物理系统故障预测

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/NTIC55069.2022.10100404

Nabila Azeri, Zeinb Zouikri, Meriem Rezgui, Ouided Hioual, O. Hioual

引用次数: 0

NTIC 2022 Cover Page NTIC 2022封面

2022 2nd International Conference on New Technologies of Information and Communication (NTIC) Pub Date : 2022-12-21 DOI: 10.1109/ntic55069.2022.10100538

引用次数: 0