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| 1 | A new methodology for extracting manufacturing features from CAD system显示文摘 | Emad S. Abouel Nasr Ali K. Kamrani | 2006 | Computers & Industrial Engineering2006，，3： | 2 |
| 2 | A New Methodology for Extracting Manufacturing Features from CAD System 显示文摘 | Abouel Nasr E S Kamrani A K | 2006 | Computers & Industrial Engineering2006，51，3： | 1 |
| 3 | A new methodology for extracting manufacturing features from CAD system显示文摘 | Emad S Abouel Nasr Ali K Kamrani | 2006 | Comput- ers & Industrial Engineering2006，51，3： | 1 |
| 4 | A new methodology for extracting manufacturing features from CAD system显示文摘 | Abouel N Emad S Ali K | 2006 | Computers and Industrial Engineering2006，51，3： | 1 |
| 5 | A New Meth- odology for Extracting Manufacturing Features from CAD System显示文摘 | ABOUEL NASR Emad S KAMRANI Ali K | 2006 | Computers & Industrial Engineering2006，51，3： | 1 |
| 6 | Epidemiologic profile of symptomatic gastroenteritis in pediatric oncology patients receiving chemotherapy显示文摘 | Hadir A.El‐Mahallawy Nelly H. AlyEl‐Din FatmaSalah MahaEl‐Arousy Sherif AbouEl‐Naga | 2004 | Pediatr. Blood Cancer2004，，4： | 1 |
| 7 | Impact of rock materials mad biofertil- izations on P and K availability for maize (Zca Maize) under calcareous soil conditions 显示文摘 | ABOUEL S ABDEL-MEGEED A | 2012 | Saudi J Biolog Sci2012，19，1： | 1 |
| 8 | Biochemical relation - ship between urine composition and urinary stone formation in stone forming patients显示文摘 | Abdel - Aziz AF Waseef A Abouel - Fotouh M | 1996 | Int Urol Nephrol1996，28，4： | 1 |
| 9 | A new methodology for extracting manufacturing features from CAD systm显示文摘 | ABOUEL NASR E S KAMRANI A K | 2006 | Computers & Industrial Engineering2006，51，3： | 1 |
| 10 | Paclitaxel and vincristine potentiate adenoviral oncolysis that is associated with cell cycle and apoptosis modulation, whereas they differentially affect the viral life cycle in non-small-cell lung cancer cells 显示文摘 | AbouEl Hassan M A Braam S R Kruyt F A | 2006 | Cancer Gene Ther2006，13，12： | 1 |
| 11 | Design and Performance of Slurry Erosion Tester显示文摘 | Abouel A K Abd Y M Emara K M | | 0，，02： | 1 |
| 12 | A new methodology for extracting manufacturing features from CAD system显示文摘 | ABOUEL NASR E S KAMRANI A K | 2006 | Computers & Industrial Engineering2006，51，3： | 1 |
| 13 | A new methodology for extracting manufacturing features from CAD system显示文摘 | Emad S. Abouel Nasr Ali K. Kamrani | 2006 | Computers & Industrial Engineering2006，，3： | 1 |
| 14 | Paclitaxel and vincristine potentiate adenoviral oncolysis that is associated with cell cycle and apoptosis modulation,whereas they differentially affect the viral life cycle in non-small-cell lung cancer cells显示文摘 | AbouEl Hassan MA Braam SR Kruyt FA | | 0，，12： | 1 |
| 15 | Lifetime estimation and design of elas- tomerie seals with reinforced metal end eaps显示文摘 | Abouel Kasem | 2006 | Seal- ing Technology2006，2006，： | 1 |
| 16 | Robust Attack Detection Approach for IIoT Using Ensemble Classifier显示文摘Generally,the risks associated with malicious threats are increasing for the Internet of Things(IoT)and its related applications due to dependency on the Internet and the minimal resource availability of IoT devices.Thus,anomaly-based intrusion detection models for IoT networks are vital.Distinct detection methodologies need to be developed for the Industrial Internet of Things(IIoT)network as threat detection is a significant expectation of stakeholders.Machine learning approaches are considered to be evolving techniques that learn with experience,and such approaches have resulted in superior performance in various applications,such as pattern recognition,outlier analysis,and speech recognition.Traditional techniques and tools are not adequate to secure IIoT networks due to the use of various protocols in industrial systems and restricted possibilities of upgradation.In this paper,the objective is to develop a two-phase anomaly detection model to enhance the reliability of an IIoT network.In the first phase,SVM and Naïve Bayes,are integrated using an ensemble blending technique.K-fold cross-validation is performed while training the data with different training and testing ratios to obtain optimized training and test sets.Ensemble blending uses a random forest technique to predict class labels.An Artificial Neural Network(ANN)classifier that uses the Adam optimizer to achieve better accuracy is also used for prediction.In the second phase,both the ANN and random forest results are fed to the model’s classification unit,and the highest accuracy value is considered the final result.The proposed model is tested on standard IoT attack datasets,such as WUSTL_IIOT-2018,N_BaIoT,and Bot_IoT.The highest accuracy obtained is 99%.A comparative analysis of the proposed model using state-of-the-art ensemble techniques is performed to demonstrate the superiority of the results.The results also demonstrate that the proposed model outperforms traditional techniques and thus improves the reliability of an IIoT network. | V.Priya I.Sumaiya Thaseen Thippa Reddy Gadekallu Mohamed K.Aboudaif Emad Abouel Nasr | 2021 | Computers, Materials & Continua2021，，3： | 0 |
| 17 | A New Intelligent Approach for Deaf/Dumb People based on Deep Learning显示文摘People who are deaf or have difficulty speaking use sign language,which consists of hand gestures with particular motions that symbolize the“language”they are communicating.A gesture in a sign language is a particular movement of the hands with a specific shape from the fingers and whole hand.In this paper,we present an Intelligent for Deaf/Dumb People approach in real time based on Deep Learning using Gloves(IDLG).The approach IDLG offers scientific contributions based deep-learning,a multimode command techniques,real-time,and effective use,and high accuracy rates.For this purpose,smart gloves working in real time were designed.The data obtained from the gloves was processed using deep-learning-based approaches and classified multi-mode commands that allow dumb people to speak with regular people via their smart phone.Internally,the glove has five flex sensors and an accelerometer using to achieve Low-Cost Control System.The flex sensor generates a proportional change in resistance for each individual move.The processing of these hand gestures is in Atmega32A Microcontroller which is an advance version of the microcontroller and the lab view software.IDLG compares the input signal to memory-stored specified voltage values.The performance of the IDLG approach was verified on a dataset created using different hand gestures from 20 different people.In the test using the IDLG approach on 10,000 data points,process time performance of milliseconds was achieved with 97%accuracy. | Haitham Elwahsh Ahmed Elkhouly Emad Abouel Nasr Ali K.Kamrani Engy El-shafeiy | 2022 | Computers, Materials & Continua2022，，9： | 0 |
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