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| 1 | Solving shortest path problem using particle swarm optimization显示文摘 | Mohemmed A W Sahoo N C Geok T K | 2008 | Applied Soft Computing2008，8，4： | 1 |
| 2 | Solving shortest path problem using particle swarm optimization显示文摘 | Mohemmed A W Sahoo N C Geok T K | 2008 | Applied Soft Computing2008，8，： | 1 |
| 3 | Solving ShortestPath Problem Using Particle Swarm Optimization显示文摘 | Mohemmed A W Sahoo N C Geok T K | 2008 | AppliedSoft Computing2008，8，4： | 1 |
| 4 | Automated White Blood Cell Disease Recognition Using Lightweight Deep Learning显示文摘White blood cells(WBC)are immune system cells,which is why they are also known as immune cells.They protect the human body from a variety of dangerous diseases and outside invaders.The majority of WBCs come from red bone marrow,although some come from other important organs in the body.Because manual diagnosis of blood disorders is difficult,it is necessary to design a computerized technique.Researchers have introduced various automated strategies in recent years,but they still face several obstacles,such as imbalanced datasets,incorrect feature selection,and incorrect deep model selection.We proposed an automated deep learning approach for classifying white blood disorders in this paper.The data augmentation approach is initially used to increase the size of a dataset.Then,a Darknet-53 pre-trained deep learning model is used and finetuned according to the nature of the chosen dataset.On the fine-tuned model,transfer learning is used,and features engineering is done on the global average pooling layer.The retrieved characteristics are subsequently improved with a specified number of iterations using a hybrid reformed binary grey wolf optimization technique.Following that,machine learning classifiers are used to classify the selected best features for final classification.The experiment was carried out using a dataset of increased blood diseases imaging and resulted in an improved accuracy of over 99%. | Abdullah Alqahtani Shtwai Alsubai Mohemmed Sha Muhammad Attique Khan Majed Alhaisoni Syed Rameez Naqvi | 2023 | Computer Systems Science & Engineering2023，46，7： | 1 |
| 5 | Solving shortest path problem using particle swarm optimization显示文摘 | Mohemmed A W Sahco N C Geok T K | 2008 | Applied Soft Computing2008，8，4： | 1 |
| 6 | Evolution of nanostructure, phase transition and band gap tailoring in oaxidized Cu thin films 显示文摘 | Mohemmed Shanid N A Abdul Khadar M | 2008 | Thin Solid Films2008，516，： | 1 |
| 7 | Solvi ng shortest path problem uag particle swarm optimization显示文摘 | MOHEMMED A W SAHOO N C GEOK T K | 2008 | Applied Soft Computing2008，8，4： | 1 |
| 8 | Particle swarm optimisation based AdaBoost for object detection显示文摘 | Mohemmed A Johnston M Zhang M | 2011 | Soft Computing2011，15，9： | 1 |
| 9 | Solving shortest path problem using particle swarm optimization显示文摘 | Mohemmed A W Sahoo N C Geok T K | 2008 | Applied Soft Computing2008，8，4： | 1 |
| 10 | Evolution of nanostructure,phase transition and band gap tailoring in oxidized Cu thin films显示文摘 | MOHEMMED SHANID N A ABDUL M.Khadar | | 0，，18： | 1 |
| 11 | SPAN:Spike pattern association neuron for learning spatio-temporal spike patterns显示文摘 | Mohemmed A Schliebs S | 2012 | International Journal of Neural Systems2012，22，12： | 1 |
| 12 | Training spiking neural networks to associate spatio-temporal input-output spike patterns显示文摘 | Mohemmed A Schliebs S Matsuda S Kasabov N | 2013 | Neurocomputing2013，107，： | 1 |
| 13 | Evolution of nanostructure, phase transition and band gap tailoring in oaxidized Cu thin films 显示文摘 | MOHEMMED SHANID N A ABDUL KHADAR M | 2008 | Thin Solid Films2008，516，18： | 1 |
| 14 | Evolution of nano- structure, phase transition and band gap tailoring in oxi- dized Cu thin films显示文摘 | Mohemmed N A Khadar Abdul M | 2008 | Thin Solid Films2008，516，： | 1 |
| 15 | Evolution of nano- structure, phase transition and band gap tailoring in oaxidized Cu thin films 显示文摘 | Mohemmed Shanid N A Abdul Khadar M | 2008 | Thin Solid Films2008，516，18： | 1 |
| 16 | Understanding locally advanced breast cancer : Whatinfluences a woman’s decision to delay treatment?显示文摘 | Mohemed IE Williams KS Tamburrino MB | 2005 | Prev Med2005，，41： | 1 |
| 17 | Extranodal natural killer/T‐Cell lymphoma: A population‐based comparison of sinonasal and extranasal disease显示文摘 | Alejandro Vazquez Mohemmed N. Khan Danielle M. Blake Saurin Sanghvi Soly Baredes Jean Anderson Eloy | 2014 | The Laryngoscope2014，，4： | 1 |
| 18 | Solving shortest path problem using particle swarm optimization显示文摘 | Mohemmed A W | 2008 | Applied Soft Computing2008，8，4： | 1 |
| 19 | Evolution of nanostrueturo, phase transition and hand gap tai- loring in oaxidized Cu thin films显示文摘 | MOHEMMED SHANID N A ABDUL KHADAR M | 2008 | Thin Solid Films2008，516，18： | 1 |
| 20 | Solving shortest path problem using particle swarm optimization显示文摘 | Mohemmed A W Sahoo N C Geok T K | 2008 | Applied Soft Computing2008，8，4： | 1 |
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