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AlexNet approach for early stage Alzheimer's disease detection from MRI brain images 会议论文
会议名称: 1st International Conference on Computations in Materials and Applied Engineering (CMAE). 会议地点: INDIA. 会议日期: MAY 01-02, 2021
作者:  Kumar, L. Sathish;  Hariharasitaraman, S.;  Narayanasamy, Kanagaraj;  Thinakaran, K.;  Mahalakshmi, J.;  Pandimurugan, V
收藏  |  浏览/下载：14/0  |  提交时间：2022/03/18
Alzheimer's disease detection  AlexNet  MRI brain images  Machine learning  
Deep Learning Type Convolution Neural Network Architecture for Multiclass Classification of Alzheimer's Disease 会议论文
会议名称: 14th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC) / 8th International Conference on Bioimaging (BIOIMAGING). 会议地点: ELECTR NETWORK. 会议日期: FEB 11-13, 2021
作者:  Battineni, Gopi;  Chintalapudi, Nalini;  Amenta, Francesco;  Traini, Enea
收藏  |  浏览/下载：3/0  |  提交时间：2021/08/05
Alzheimer's Disease (AD)  OASIS-3  MRI Images  Deep Learning  CNN  
Deep Convolutional Neural Network Based Autonomous Drone Navigation 会议论文
会议名称: 13th International Conference on Machine Vision. 会议地点: Rome, ITALY. 会议日期: NOV 02-06, 2020
作者:  Amer, Karim;  Samy, Mohamed;  Shaker, Mahmoud;  Elhelw, Mohamed
收藏  |  浏览/下载：3/0  |  提交时间：2021/08/05
Drone navigation  CNN  Deep learning  Airsim  
Evaluation of Artificial Neural Networks Performance Using Various Normalization Methods for Water Demand Forecasting 会议论文
会议名称: IEEE 4th National Computing Colleges Conference (NCCC). 会议地点: ELECTR NETWORK. 会议日期: MAR 27-28, 2021
作者:  Al-Ghamdi, Al-Batool;  Kamel, Souad;  Khayyat, Mashael
收藏  |  浏览/下载：5/0  |  提交时间：2021/11/19
Artificial Neural Networks  normalization  forecasting  time series  water demand  root mean square error  
A Machine Learning Approach for Diagnosing Neurological Disorders using Longitudinal Resting-State fMRI 会议论文
会议名称: 11th International Conference on Cloud Computing, Data Science and Engineering (Confluence). 会议地点: Amity Univ, Amity Sch Engn & Technol, ELECTR NETWORK. 会议日期: JAN 28-29, 2021
作者:  Devika, K.;  Oruganti, V. Ramana Murthy
收藏  |  浏览/下载：3/0  |  提交时间：2021/11/19
Autism Spectrum Disorder  Alzheimer's disease  ABIDE II  OASIS-3  Neuroimaging  Longitudinal analysis  Functional MRI  
Soiling Rate Determination from Referenced Systems in Desert Climate using PVInsight Soiling Algorithm 会议论文
会议名称: 48th IEEE Photovoltaic Specialists Conference (PVSC). 会议地点: ELECTR NETWORK. 会议日期: JUN 20-25, 2021
作者:  Kam-Lum, Elsa;  Meyers, Bennet E.;  Cosme, Damien;  Aissa, Brahim;  Scabbia, Giovanni
收藏  |  浏览/下载：3/0  |  提交时间：2021/11/19
solar energy  soiling  hot desert climate soiling  data analysis  machine learning  statistical learning  PVInsight  
High-resolution air temperature mapping in a data-scarce, arid area by means of low-cost mobile measurements and machine learning 会议论文
会议名称: International Hybrid Conference on Carbon Neutral Cities - Energy Efficiency and Renewables in the Digital Era (CISBAT). 会议地点: Ecole Polytechnique Fed Lausanne, Solar Energy & Bldg Phys Lab, Lausanne, SWITZERLAND. 会议日期: SEP 08-10, 2021
作者:  Eldesoky, Ahmed H. M.;  Colaninno, Nicola;  Morello, Eugenio
收藏  |  浏览/下载：28/0  |  提交时间：2022/03/18
Weather Conditions Impact on Electricity Consumption in Smart Homes: Machine Learning Based Prediction Model 会议论文
会议名称: 8th International Conference on Electrical and Electronics Engineering (ICEEE). 会议地点: Antalya, TURKEY. 会议日期: APR 09-11, 2021
作者:  Ben Brahim, Ghassen
收藏  |  浏览/下载：3/0  |  提交时间：2022/03/18
smart homes  electricity prediction  energy forecasting  machine learning  weather information  
Fast Brain Volumetric Segmentation from T1 MRI Scans 期刊论文
发表期刊: ADVANCES IN COMPUTER VISION, CVC, VOL 1. 出版年: 2020, 卷号: 943, 页码: 402-415
作者:  Anand, Ananya;  Anand, Namrata
收藏  |  浏览/下载：11/0  |  提交时间：2020/03/23
Magnetic resonance imaging  Supervised machine learning  Neural networks (computer)  Artificial intelligence  Computer vision systems  
Image Segmentation for Dust Detection Using Semi-supervised Machine Learning 会议论文
会议名称: 8th IEEE International Conference on Big Data (Big Data). 会议地点: ELECTR NETWORK. 会议日期: DEC 10-13, 2020
作者:  Yu, Manzhu;  Bessac, Julie;  Xu, Ling;  Gangopadhyay, Aryya;  Shi, Yingxi;  Wang, Jianwu
收藏  |  浏览/下载：4/0  |  提交时间：2021/11/19
dust detection  semi-supervised machine learning  multi-sensor remote sensing  image segmentation