|
|
|
题名
|
作者
|
年代
|
出处
|
被引量
|
| 1 | A novel cardiotocog- raphy fetal heart rate baseline estimation algorithm 显示文摘 | NIDHAL S ALI M A M NAJAH H | 2010 | Sci- entific Research and Essays2010，5，24： | 1 |
| 2 | Theoretical foundations of spatially-variant mathematical morphology Part I: binary images 显示文摘 | Nidhal Bouaynaya Mohammed Charif-Chefchaouni Dan Schonfeld | 2008 | IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，5： | 1 |
| 3 | Theoretical foundations of spatially-variant mathematical morphology part Ⅱ: gray-level images 显示文摘 | Nidhal Bouaynaya Dan Schonfeld | 2008 | IEEE Transactions on Pattern Analysis and Machine Intelligence2008，30，5： | 1 |
| 4 | Phenotypic Characterization of Indigenous Iraqi Sinorhizobium meliloti Isolates for Abiotic Stress Performance显示文摘 | Rana A. Hameed Nidhal N. Hussain Abedaljasim M. Aljibouri | 2014 | Journal of Life Sciences2014，8，1： | 1 |
| 5 | Microwave vacuum drying of banana slices显示文摘 | Nidhal M Mohammed F | | 0，，： | 1 |
| 6 | Feedback control logic for forbidden-state problems of marked graphs application to a real manufacturing system显示文摘 | ASMA G NIDHAL R XIE Xiao-lan | 2003 | IEEE Trans on Automatic Control2003，48，： | 1 |
| 7 | Preparation of Cu-doped ZnS QDs/TiO 2 nanocomposites with high photocatalytic activity显示文摘 | Houcine Labiadh Tahar Ben Chaabane Lavinia Balan Nidhal Becheik Serge Corbel Ghouti Medjahdi Rapha?l Schneider | 2014 | Applied Catalysis B: Environmental2014，，： | 1 |
| 8 | Natural occurrence of citrinin in Tunisian wheat grains显示文摘 | Chiraz Zaied Nidhal Zouaoui Hassan Bacha Salwa Abid | 2012 | Food Control2012，，1： | 1 |
| 9 | Time - motion analysis and physiological data of elite under - 19 - year - old basketball players during competition 显示文摘 | Nidhal Ben Abdelkrim Saloua El Fazaa Jalila E1 Ati | 2007 | Br J Sports Med2007，，41： | 1 |
| 10 | A decision model for adopting an extended warranty under different maintenance policies显示文摘 | SOUMAYA B ANIS C NIDHAL R | 2012 | International Journal of Production Economics2012，135，2： | 1 |
| 11 | Efficient Feature Selection and ML Algorithm for Accurate Diagnostics显示文摘Machine learning algorithms have been deployed in numerous optimization,prediction and classification problems.This has endeared them for application in fields such as computer networks and medical diagnosis.Although these machine learning algorithms achieve convincing results in these fields,they face numerous challenges when deployed on imbalanced dataset.Consequently,these algorithms are often biased towards majority class,hence unable to generalize the learning process.In addition,they are unable to effectively deal with high-dimensional datasets.Moreover,the utilization of conventional feature selection techniques from a dataset based on attribute significance render them ineffective for majority of the diagnosis applications.In this paper,feature selection is executed using the more effective Neighbour Components Analysis(NCA).During the classification process,an ensemble classifier comprising of K-Nearest Neighbours(KNN),Naive Bayes(NB),Decision Tree(DT)and Support Vector Machine(SVM)is built,trained and tested.Finally,cross validation is carried out to evaluate the developed ensemble model.The results shows that the proposed classifier has the best performance in terms of precision,recall,F-measure and classification accuracy. | Vincent Omollo Nyangaresi Nidhal Kamel Taha El-Omari Judith Nyakanga Nyakina | 2022 | Journal of Computer Science Research2022，4，1： | 1 |
| 12 | Natural occurrence of zearalenone in Tunisian wheat grains显示文摘 | Chiraz Z Nidhal Z Hassan B | 2012 | Food Control2012，25，2： | 1 |
| 13 | Optimum block replacement policy over a random time horizon显示文摘 | ABDEHAKIM K NIDHAL R DAOUD A K | | 0，，06： | 1 |
| 14 | Numerical investigation of velocity ratio effect in combined wall and offset jet flows显示文摘In the present work, we propose to numerically study a combined turbulent wall and offset jet flow(this combination will be denoted WOJ). Several turbulence models were tested in this study: the standard k-w, SST k-w, standard k-ε, RNG, and realizable k-ε model. A parametric study was performed to determine the effect of offset ratio H and the velocity ratio r on the longitudinal and transverse positions of the merge point(MP), the combined point(CP), the upper vortex center(UVC) and the lower vortex center(LVC). Correlations that predict the position of these characteristic points of the WOJ flow as a function of H and r have been provided. Results show that any increase in the velocity ratio causes a displacement of the MP, CP, UVC and LVC further upstream along the longitudinal direction. Concerning the transverse positions, the increase of velocity ratio results in a deviation of the merge point(MP) and the lower vortex center(LVC) toward the strong jet(LWJ) whereas the transverse position of combined point(CP) and the upper vortex center(UVC) is almost independent of the velocity ratio. | Nidhal Hnaien Salwa Marzouk Habib Ben Aissia Jacques Jay | 2018 | Journal of Hydrodynamics2018，30，6： | 1 |
| 15 | Microwave vacuum drying of banana slices显示文摘 | NIDHAL M MOHAMMED F | 2002 | Drying Technology2002，20，10： | 1 |
| 16 | A decision model for adopting an extended warranty under different maintenance policies显示文摘 | SOUMAYA B ANIS C NIDHAL R | 2012 | International Journal of Production Economics2012，135，2： | 1 |
| 17 | Microwave vacuum drying of banana slices显示文摘 | Nidhal M Mohammed F | 2002 | Drying Technology2002，，20： | 1 |
| 18 | Detection of Copy-Move Forgery in Digital Images Using Singular Value Decomposition显示文摘This paper presents an improved approach for detecting copy-move forgery based on singular value decomposition(SVD).It is a block-based method where the image is scanned from left to right and top to down by a sliding window with a determined size.At each step,the SVD is determined.First,the diagonal matrix’s maximum value(norm)is selected(representing the scaling factor for SVD and a fixed value for each set of matrix elements even when rotating thematrix or scaled).Then,the similar norms are grouped,and each leading group is separated into many subgroups(elements of each subgroup are neighbors)according to 8-adjacency(the subgroups for each leading group must be far from others by a specific distance).After that,a weight is assigned for each subgroup to classify the image as forgery or not.Finally,the F1 score of the proposed system is measured,reaching 99.1%.This approach is robust against rotation,scaling,noisy images,and illumination variation.It is compared with other similarmethods and presents very promised results. | Zaid Nidhal Khudhair Farhan Mohamed Amjad Rehman Tanzila Saba Saeed Ali bahaj | 2023 | Computers, Materials & Continua2023，，2： | 1 |
| 19 | Theoretical Foundations of Spatially-variant Mathematical Morphology显示文摘 | Nidhal Bouaynaya Dan Schonfeld | 2008 | IEEE Transactions on Parrern Analysis and Machine Intelligence2008，，5： | 1 |
| 20 | Microwave vacuum drying of banana slices显示文摘 | NIDHAL M MOHAMMED F | 2002 | Drying Technology2002，20，10： | 1 |
您所在的机构暂未开通此部分的功能，请联系管理员