2021 International Congress of Advanced Technology and Engineering (ICOTEN)最新文献_第2页

Face Recognition – Extensive Survey and Recommendations 人脸识别-广泛的调查和建议

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493444

Ali Nadhim Razzaq, R. Ghazali, Nidhal K. El Abbadi

{"title":"Face Recognition – Extensive Survey and Recommendations","authors":"Ali Nadhim Razzaq, R. Ghazali, Nidhal K. El Abbadi","doi":"10.1109/ICOTEN52080.2021.9493444","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493444","url":null,"abstract":"Nowadays, the digital environment is a fast-growing and potential realm of the world. Human verification and identification can be done online. Face recognition is the competitive method and best biometric modality for human identification and recognition in comparison to voice, iris, thumb, ear, hand, and retina scans. This is a potential emerging area that required sophisticated research in both academics and industry to think of a few powerful face detection strategies making it quite possible in computer vision. Also, it’s a very challenging research area because of unconstrained environments. Though most of the existing research has provided promising solutions, some of the algorithms find it difficult to yield results under different unconstrained conditions such as lighting, expression, illuminate, pose variation, low resolution, and occlusion. This paper provides a detailed review of the past as well as current research techniques and highlights the drawbacks. Especially the model, pattern, manual, and automated feature extraction techniques have been reviewed extensively and their drawbacks are highlighted. Additionally, the performances of face recognition on the standard datasets are analyzed. Finally, recommendations are provided to overcome the existing problem faced during the time of face recognition, which will help to improve the research in the future.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127899311","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: 1

An open source platform to estimate Soil Moisture using Machine Learning Methods based on Eo-learn library 基于Eo-learn库的机器学习方法估算土壤湿度的开源平台

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493556

N. Jarray, Ali Ben Abbes, M. Rhif, F. Chouikhi, I. Farah

引用次数: 2

Digital Image forgery Detection by Utilize combined Feature extraction techniques 基于组合特征提取技术的数字图像伪造检测

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493527

A. H. Saber, Mohd Ayyub Khan, Basim Galeb Mejbel

{"title":"Digital Image forgery Detection by Utilize combined Feature extraction techniques","authors":"A. H. Saber, Mohd Ayyub Khan, Basim Galeb Mejbel","doi":"10.1109/ICOTEN52080.2021.9493527","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493527","url":null,"abstract":"Due to the increased revolution of digital technology, the process of information sharing, accessing becomes easier. But securing this information is the major critical task. The major threat is occurred in digital images by making forgeries. Several existing techniques are utilized for detection the forgeries in digital images. But still, it lacks inaccurate detection. Hence a novel technique is designed for detecting the forged images accurately. The main motive of this research is focused on detect image forgery and localize the forged region accurately. Initially, the input images obtained from digital image acquisition and the selected images are isolated as an overlapping patch. Polar Cosine Transform (PCT) with orthogonal kernel and Local Binary Pattern (LBP) approaches are used to extract features from these patches. From the features extracted from the PCT approach, the patches are detected using Multidimensional Spectral Hashing techniques (MSH) and the forged patches are filtered out. Alternatively, geometry-based image forgery detection is carried out using the LBP extracted features. Finally, the forged regions are located and detected in the digital image. The proposed approach's efficiency is measured and compared to current techniques","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115905958","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

Proposed contemplations to make current modern cities normally more eco-friendly and sustainable 提出的思考，使当前的现代城市通常更环保和可持续

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493504

Anmol Sachan

{"title":"Proposed contemplations to make current modern cities normally more eco-friendly and sustainable","authors":"Anmol Sachan","doi":"10.1109/ICOTEN52080.2021.9493504","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493504","url":null,"abstract":"In this day and age of modern tech where everything, every single thing is getting fit into your pocket things like carbon emission, carbon footprint, E-waste, plastic accumulation do not have much importance in anyone’s life. Now, this is all because of successful marketing campaigns by companies. The amazing thing about tech is that its spectrum is not limited to computers or IT, scientists and engineers have been successful in spreading their happy pill in all domains of engineering and sectors of life (kudos to engineers on that). Now, this is not in the scope of the paper. The fact that no one on this planet can live without the tech-drugs companies have been supplying in loads to the masses should be shoved down the throat and digested. So instead of telling people to stop using tech or all those gizmos, an alternative solution needs to be found. People have been trying recycling and upcycling things for decades and being truthful to yourself everyone knows that is a fail experiment. Think of it how would you recycle your 1000$ iPhone or a laptop which was bought last year but is now dated which is also because of technological advances. So, instead of trying to restrict usage or refraining technology. It should be made ecological and economical (because no one uses herbal toothpaste just because it has green leaves on the packaging).","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114427025","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 Review of Airborne Landmine Detection Technologies: Unmanned Aerial Vehicle-Based Approach 机载地雷探测技术综述:基于无人机的方法

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493528

Y. Alqudsi, Abdulhameed S. Alsharafi, Abdulwahid Mohamed

引用次数: 3

Detecting Malicious URL using Neural Network 利用神经网络检测恶意URL

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493481

Jumana H. Ateeq, Mohammed Moreb

引用次数: 2

Functional and architectural solution of a software package for the analysis of educational data 一个用于教育数据分析的软件包的功能和体系结构解决方案

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493505

Zhenisgul Rakhmetullina, Gulzhan Soltan, Roza Mukasheva, Gulnaz Zunimova, Raushan Mukhamedova, Shynar Tezekpayeva

引用次数: 0

Removal of Cadmium (II) from Aqueous Solution by Rice Husk Waste 稻壳废弃物去除水溶液中镉(II)的研究

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493473

A. Saeed, N. Y. Harun, S. Sufian, A. Ghaleb, A. H. Jagaba, H. G. Mohammed, H. Abdulrab

引用次数: 5

Deep learning guided by an ontology for medical images classification using a multimodal fusion 基于本体的深度学习，使用多模态融合对医学图像进行分类

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493469

Hela Yahyaoui, Fethi Ghazouani, I. Farah

{"title":"Deep learning guided by an ontology for medical images classification using a multimodal fusion","authors":"Hela Yahyaoui, Fethi Ghazouani, I. Farah","doi":"10.1109/ICOTEN52080.2021.9493469","DOIUrl":"https://doi.org/10.1109/ICOTEN52080.2021.9493469","url":null,"abstract":"Brain tumor is regarded as one of the most perilous diseases, with Glioma being the most prevalent form of primary brain tumor. Brain tumor classification, by playing the part of a treatment guide, makes diagnosis easier by providing acquisition tools for medical imagery providing various modalities that are fused for brain tumor classification. Therefore, to perform this task, existing works fuse either 2D brain MRI image slices or 3D brain images. In this paper, we propose a novel semantic method for MRI brain tumor classification using a multimodal fusion of 2D and 3D MRI images. The proposed method raises two major challenges: the semantic classification and the fusion of 2D and 3D images. It consists of three levels: preprocessing, classification, and fusion. The preprocessing level has a considerable impact on the results. At the classification level, we used two deep learning models and two heterogeneous datasets. The DenseNet model is used to classify 2D brain images into three brain tumor categories (Glioma, Meningioma, and Pituitary tumor). The 3D-CNN model is designed for glioma grading (High/Low-grade glioma) using the 3D brain images. At the fusion level, we used specific-domain ontology to perform the fusion of the output classes. The evaluation of the proposed approach on the test set has shown good results and the classification accuracy rate reached 92.06% and 85% for DenseNet and 3D CNN models respectively and 100% at the fusion level.","PeriodicalId":308802,"journal":{"name":"2021 International Congress of Advanced Technology and Engineering (ICOTEN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122769339","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: 10

An Automatic Facial Age Proression Estimation System 一种面部年龄自动估计系统

2021 International Congress of Advanced Technology and Engineering (ICOTEN) Pub Date : 2021-07-04 DOI: 10.1109/ICOTEN52080.2021.9493483

Othman Omran Khalifa, Ayub Ahmed Omar, M. Z. Ahmed, R. Saeed, A. Hashim, A.N. Esgiar

引用次数: 2