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| 1 | Classification of inflammatory breast disorders and step by step diagnosis显示文摘 | Kamal RM Hamed ST Salem DS | 2009 | Breast J2009，15，4： | 1 |
| 2 | Does MRI add to ultrasound in the assessment of disorders of sex development? 显示文摘 | Mansour SM Hamed ST Adel L | 2012 | Eur J Radiol2012，81，： | 1 |
| 3 | Classification of inlfammatory breast disorders and step by step diagnosis显示文摘 | Kamal RM Hamed ST Salem DS | | 0，，04： | 1 |
| 4 | Classification of inflammatory breast disorders and step by step diagnosis显示文摘 | Kamal RM Hamed ST Salem DS | 2009 | Breast J2009，15，4： | 1 |
| 5 | Classification of inflammatory breast disorders and step by step diagnosis显示文摘 | Kamal RM Hamed ST Salemd S | 2009 | Breast J2009，15，4： | 1 |
| 6 | Classification of inflammatory breast disorders and step by step diagnosis显示文摘 | Kamal RM Hamed ST Salem DS | 2009 | Breast J2009，15，4： | 1 |
| 7 | Cavitation erosion of plasma-sprayed NiTi coatings显示文摘 | Stella J Schüller E He?ing C Hamed O Pohl M St?ver D | 2006 | Wear2006，260，： | 1 |
| 8 | The relation between dual energy X-ray absorptiometry measurement of body fat composition and plasma ghrelin in patients with end-stage renal disease显示文摘 | E1sayed NM Hamed ST El-Khatib MM | 2009 | Saudi Med J2009，30，1： | 1 |
| 9 | Clas-sification of Inflammatory breast disordersand step by step diagnosis 显示文摘 | Kamal RM Hamed ST Salem DS | 2009 | Breast Jour-nal2009，15，4： | 1 |
| 10 | Fused and Modified Evolutionary Optimization of Multiple Intelligent Systems Using ANN, SVM Approaches显示文摘The Fused Modified Grasshopper Optimization Algorithm has been proposed,which selects the most specific feature sets from images of the disease of plant leaves.The Proposed algorithm ensures the detection of diseases during the early stages of the diagnosis of leaf disease by farmers and,finally,the crop needed to be controlled by farmers to ensure the survival and protection of plants.In this study,a novel approach has been suggested based on the standard optimization algorithm for grasshopper and the selection of features.Leaf conditions in plants are a major factor in reducing crop yield and quality.Any delay or errors in the diagnosis of the disease can lead to delays in the management of plant disease spreading and damage and related material losses.Comparative new heuristic optimization of swarm intelligence,Grasshopper Optimization Algorithm was inspired by grasshopper movements for their feeding strategy.It simulates the attitude and social interaction of grasshopper swarm in terms of gravity and wind advection.In the decision on features extracted by an accelerated feature selection algorithm,popular approaches such as ANN and SVM classifiers had been used.For the evaluation of the proposed model,different data sets of plant leaves were used.The proposed model was successful in the diagnosis of the diseases of leaves the plant with an accuracy of 99.41 percent(average).The proposed biologically inspired model was sufficiently satisfied,and the best or most desirable characteristics were established.Finally,the results of the research for these data sets were estimated by the proposed Fused Modified Grasshopper Optimization Algorithm(FMGOA).The results of that experiment were demonstrated to allow classification models to reduce input features and thus to increase the precision with the presented Modified Grasshopper Optimization Algorithm.Measurement and analysis were performed to prove the model validity through model parameters such as precision,recall,f-measure,and precision. | Jalal Sadoon Hameed Al-bayati Burak Berk Üstündağ | 2021 | Computers, Materials & Continua2021，，2： | 0 |
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