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24篇 您的检索式:作者名="Atteia"
    题名 作者 年代 出处 被引量
1Realistic model of dispersive soils using PLRC-FDTD with applications to GPR systems显示文摘Atteia G E Hussein K F A 2010Progress in Elec- tromagnetic Research B2010,26,8:1
2An algorithm for the finite difference approximation of derivatives with arbitrary degree and order of accuracy显示文摘Hassan H Z Mohamad A A Atteia G E 2012Journal of Computational and Applied Mathematics2012,236,10:1
3PredAlgo: a new subcellularlocalization prediction tool dedicated to green algae 显示文摘Tardif M Atteia A Specht M 2012Mol BiolEvol2012,29,12:1
4On the Use of Compact polarimetry SAR for Ship Detection 显示文摘Atteia G E Collins M J 2013Journal of Photogrammetry and Remote Sensing2013,80,:1
5Pyruvate formatelyase and a novel route of eukaryotic ATP synthesis in Chlamydomonas mitoehondria 显示文摘Atteia A van Lis R Gelius-Dietrich G 2006J Biol Chem2006,281,15:1
6Chlamydomonas proteomics显示文摘ROLLAND N ATTEIA A DECOTTIGNIES P 2009Current Opinion in Microbiology2009,12,:1
7An extremely radioresistant green eukaryote for radionuclide bio-decontamination in the nuclear industry显示文摘RIVASSEAU C FARHI E ATTEIA A 2013Energy&environmental science2013,6,4:1
8Coregionalization of Trace Metals in the Soil in the Swiss Jura显示文摘Webster R Atteia O Dubois J P 1994Euro J of Soil Sci1994,45,:1
9Particlc size distribution in walers from a karstic aquifer:from particles to colloids显示文摘Atteia O Kozel R 0,,:1
10On the reconstruction of quad-Pol SAR data fromcompact polarimetry data for ocean target detection显示文摘COLLINS M J DENBINA M and ATTEIA G 2013IEEE Transactions on Geoscience and Remote Sensing2013,51,1:1
11Particle size distributions in waters from a karstic aquifer: from particles to colloids 显示文摘Atteia O Kozel R 1997Journal of Hydrology1997,201,14:1
12Major and trace elements in precipitation on western Switzerland显示文摘Atteia O 1994Atmospheric Environment1994,28,22:1
13Scientific highlights of the HETE-2 mission显示文摘Lamb D.Q Ricker G.R Atteia J.-L 0,,:1
14Factors Controlling BTEX and Chlorinated Solvents Plume Length under Natural Attenuation Conditions 显示文摘Atteia O Guillot C 2007Journal of Contaminant Hydrology2007,90,12:1
15Coregionalization of trace metals in the soil in the Swiss Jura显示文摘Webster R Atteia O Dubois J P 1994European Journal of Soil Scicence1994,45,:1
16Geostatistical analysis of soil contamination in the Swiss Jura显示文摘Atteia O Dubois J P Webster R 1994Environmental Pollution1994,86,:1
17Scientific highlights of the HETE-2 mission 显示文摘Lamb D Q Ricker G R Atteia J L 2004New Astronomy Reveviews2004,48,56:1
18On the reconstruction of quad-Pol SAR data from compact polarimetry data for ocean target detection显示文摘Collins M J Denbina M and Atteia G 2013IEEE Transactions on Geoseience and Remote Sensing2013,51,1:1
19Adaptive Dynamic Dipper Throated Optimization for Feature Selection in Medical Data显示文摘The rapid population growth results in a crucial problem in the early detection of diseases inmedical research.Among all the cancers unveiled,breast cancer is considered the second most severe cancer.Consequently,an exponential rising in death cases incurred by breast cancer is expected due to the rapid population growth and the lack of resources required for performing medical diagnoses.Utilizing recent advances in machine learning could help medical staff in diagnosing diseases as they offer effective,reliable,and rapid responses,which could help in decreasing the death risk.In this paper,we propose a new algorithm for feature selection based on a hybrid between powerful and recently emerged optimizers,namely,guided whale and dipper throated optimizers.The proposed algorithm is evaluated using four publicly available breast cancer datasets.The evaluation results show the effectiveness of the proposed approach from the accuracy and speed perspectives.To prove the superiority of the proposed algorithm,a set of competing feature selection algorithms were incorporated into the conducted experiments.In addition,a group of statistical analysis experiments was conducted to emphasize the superiority and stability of the proposed algorithm.The best-achieved breast cancer prediction average accuracy based on the proposed algorithm is 99.453%.This result is achieved in an average time of 3.6725 s,the best result among all the competing approaches utilized in the experiments.Ghada Atteia El-Sayed M.El-kenawy Nagwan Abdel Samee Mona M.Jamjoom Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Ahmad Taher Azar Nima Khodadadi Reham A.Ghanem Mahmoud Y.Shams 2023Computers, Materials & Continua2023,,4:0
20恐龙DNA重见天日?显示文摘一则消息震动了整个生命科学界:恐龙的DNA找到了!这可不是《侏罗纪公园》的片头,而是一支中美古生物学家团队带来的重大发现。这项发现并不离奇,比如好莱坞编剧设想的那样,在或珀里头看到了一只吸饱血的蚊子。实际情况其实很简单,宝贝就藏在几十年前出土的一小块恐龙软骨化石里。Marie Atteia 黄雅琴(编译) 2020新发现2020,,8:0
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