2022 18th International Computer Engineering Conference (ICENCO)最新文献_第3页

Convolutional Neural Network for Cancer Treatment Response Prediction 卷积神经网络用于癌症治疗反应预测

2022 18th International Computer Engineering Conference (ICENCO) Pub Date : 2022-12-29 DOI: 10.1109/ICENCO55801.2022.10032466

Hanan Ahmed, Howida A. Shedeed, S. Hamad, Ashraf S. Hussein

{"title":"Convolutional Neural Network for Cancer Treatment Response Prediction","authors":"Hanan Ahmed, Howida A. Shedeed, S. Hamad, Ashraf S. Hussein","doi":"10.1109/ICENCO55801.2022.10032466","DOIUrl":"https://doi.org/10.1109/ICENCO55801.2022.10032466","url":null,"abstract":"Recently, efforts are exerted on cancer treatment prediction based on the biomarkers related to the tumor. Many biomarkers are used to discriminate cancer but there is no accurate evidence which is more accurate. To save resources and due to the enormous computational power, the analysis of huge sequences such as DNA (DesoxyriboNucleic Acid) becomes a valid process. Machine learning and deep learning algorithms have been used to predict drug response. The indicators show that the performance of deep learning models is better than the performance of machine learning based one. In this paper, we introduce the use of Convolutional Neural Network (CNN) to predict the response of 265 different drugs using the gene expression profile and mutation profile of 19702 genes. DeepInsight algorithm used to convert the input data to images to be more suitable as input to the CNN. We proposed eight CNNs with different architectures. At first, the whole data input passes through the DeepInsight model which converts the gene expression data and mutation data to images. Dimension reduction is then applied using the helper technique inside the DeepInsignt. The CNN are trained with different settings such as image size, no of nodes in layers…etc. Comparative analysis shows that the proposed architectures improve the prediction accuracy in a range between 16% and 24% as a reduction in mean squared error (MSE).","PeriodicalId":307952,"journal":{"name":"2022 18th International Computer Engineering Conference (ICENCO)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125264398","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

Self Balancing Quad-Copter Using PID Controller 采用PID控制器的自平衡四旋翼机

2022 18th International Computer Engineering Conference (ICENCO) Pub Date : 2022-12-29 DOI: 10.1109/ICENCO55801.2022.10032520

Abdelrahman E. Moghazy, Sara S. Attia, A. E. Moghazy, Ahmed A. Elghareeb, Mohamed W. Saad, Ahmed A. Hassan, Amr M. Zaki, M. Darweesh

{"title":"Self Balancing Quad-Copter Using PID Controller","authors":"Abdelrahman E. Moghazy, Sara S. Attia, A. E. Moghazy, Ahmed A. Elghareeb, Mohamed W. Saad, Ahmed A. Hassan, Amr M. Zaki, M. Darweesh","doi":"10.1109/ICENCO55801.2022.10032520","DOIUrl":"https://doi.org/10.1109/ICENCO55801.2022.10032520","url":null,"abstract":"Unmanned Aerial Vehicle (UAV) technology is considered one of the important technologies at present, which is believed to solve many problems in the future, such as delivering small-weighted goods, agriculture, and civil fields. This research paper presents the mathematical model of a quadcopter that was developed as an example of an unmanned aerial vehicle. The MATLAB and Simulink environment create the model simulation and controller design. The present study proposes a cost-effective and easily deployable control system with a comparison that shows the difference between the controller made in this paper and the literature. The mathematical model represented has been linearized, and the transfer function of the brushless DC motors responsible for quadcopter motion is derived using system identification techniques to construct the attitude controller. The controller is evaluated, and the simulation results are described. It presents the design and development of a remote-controlled quadcopter utilizing a PID (Proportional Integral Derivative) cost-effective controller implemented using an Arduino UNO board.","PeriodicalId":307952,"journal":{"name":"2022 18th International Computer Engineering Conference (ICENCO)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114332345","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

Mitigation of Satellite Micro Vibrations on Remote Sensing Images 卫星微振动对遥感图像的抑制

2022 18th International Computer Engineering Conference (ICENCO) Pub Date : 2022-12-29 DOI: 10.1109/ICENCO55801.2022.10032510

Mohamed A. Ali, A. Omer, F. Eltohamy, Mohamed Hanafy

{"title":"Mitigation of Satellite Micro Vibrations on Remote Sensing Images","authors":"Mohamed A. Ali, A. Omer, F. Eltohamy, Mohamed Hanafy","doi":"10.1109/ICENCO55801.2022.10032510","DOIUrl":"https://doi.org/10.1109/ICENCO55801.2022.10032510","url":null,"abstract":"Recent advancements in satellite technologies, particularly in satellite image spatial resolution, have increased the importance of paying close attention to satellite vibration control capabilities. Anticipating, and mitigating satellite micro-vibrations caused by onboard internal disturbance sources is considered an impressive engineering challenge in both mechanical and electrical engineering branches, especially for users running highly sensitive optical sensor payloads with high standards of image quality requirements. This paper studies the different types of vibrations like jitter, linear and sinusoidal vibrations that cause many forms of degradations in remote sensing images acquired by satellite cameras in both mechanical and electrical engineering branches. The limitations of each approach are stated. Also, the two main solutions to soften the influence of satellite micro-vibrations on remote sensing image quality are introduced. A plan for overcoming the drawbacks of the mitigation techniques and how to deal with this problem in the future is introduced based on neural network techniques.","PeriodicalId":307952,"journal":{"name":"2022 18th International Computer Engineering Conference (ICENCO)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116207323","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

A Framework for Reporting Ergonomic Sitting Posture Anomalies 报告人体工学坐姿异常的框架

2022 18th International Computer Engineering Conference (ICENCO) Pub Date : 2022-12-29 DOI: 10.1109/ICENCO55801.2022.10032527

Ahmed M. Tawfiq, Nashwa Abdelbaki

引用次数: 0

Threshold Energy Based LEACH-K Effect on the Accessibility of Wireless Sensor Networks 基于阈值能量的LEACH-K对无线传感器网络可达性的影响

2022 18th International Computer Engineering Conference (ICENCO) Pub Date : 2022-12-29 DOI: 10.1109/ICENCO55801.2022.10032511

A. Afify, Rania M. Tawfik, M. Darweesh

引用次数: 0