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Deer Hunting Optimization with Deep Learning Enabled Emotion Classification on English Twitter Data

Computer Systems Science & Engineering 2023年第12期47卷 2741-2757页

作者： Abdelwahed Motwakel hala j.alshahrani jaber S.Alzahrani Ayman Yafoz Heba Mohsen Ishfaq Yaseen Amgad Atta Abdelmageed Mohamed I.Eldesouki Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Industrial Engineering College of Engineering at AlqunfudahUmm Al-Qura UniversityMakkahSaudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddahSaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Department of Information System College of Computer Engineering and SciencesPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Currently,individuals use online social media,namely Facebook or Twitter,for sharing their thoughts and *** of emotions on social networking sites’finds useful in several applications in social welfare,commerce,public health,and so *** is expressed in several means,like facial and speech expressions,gestures,and written *** recognition in a text document is a content-based classification problem that includes notions from deep learning(DL)and natural language processing(NLP)*** article proposes a Deer HuntingOptimizationwithDeep Belief Network Enabled Emotion Classification(DHODBN-EC)on English Twitter Data in this *** presented DHODBN-EC model aims to examine the existence of distinct emotion classes in *** the introductory level,the DHODBN-EC technique pre-processes the tweets at different ***,the word2vec feature extraction process is applied to generate the word embedding *** emotion classification,the DHODBN-EC model utilizes the DBN model,which helps to determine distinct emotion class ***,the DHO algorithm is leveraged for optimal hyperparameter adjustment of the DBN *** extensive range of experimental analyses can be executed to demonstrate the enhanced performance of the DHODBN-EC approach.A comprehensive comparison study exhibited the improvements of the DHODBN-EC model over other approaches with increased accuracy of 96.67%.

关键词： Deer hunting optimization deep belief network emotion classification Twitter data sentiment analysis english corpus

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Abstractive Arabic Text Summarization Using Hyperparameter Tuned Denoising Deep Neural Network

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Intelligent Automation & Soft Computing 2023年第11期38卷 153-168页

作者： Ibrahim M.Alwayle hala j.alshahrani Saud S.Alotaibi Khaled M.Alalayah Amira Sayed A.Aziz Khadija M.Alaidarous Ibrahim Abdulrab Ahmed Manar Ahmed Hamza Department of Computer Science College of Science and ArtsSharurahNajran UniversitySharurahSaudi Arabia Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems College of Computing and Information SystemUmm Al-Qura UniversityMakkahSaudi Arabia Department of Digital Media Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt Computer Department Applied CollegeNajran UniversityNajran66462Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

ive Arabic Text Summarization using Hyperparameter Tuned Denoising Deep Neural Network(AATS-HTDDNN)*** presented AATS-HTDDNN technique aims to generate summaries of Arabic *** the presented AATS-HTDDNN technique,the DDNN model is utilized to generate the *** study exploits the Chameleon Swarm Optimization(CSO)algorithm to fine-tune the hyperparameters relevant to the DDNN model since it considerably affects the summarization *** phase shows the novelty of the current *** validate the enhanced summarization performance of the proposed AATS-HTDDNN model,a comprehensive experimental analysis was *** comparison study outcomes confirmed the better performance of the AATS-HTDDNN model over other approaches.

关键词： Text summarization deep learning denoising deep neural networks hyperparameter tuning Arabic language

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Therapeutic and regenerative potential of different sources of mesenchymal stem cells for cardiovascular diseases

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BIOCELL 2024年第4期48卷 559-569页

作者： YARA ALZGHOUL hala j.BANI ISSA AHMAD K.SANAjLEH TAQWA ALABDUH FATIMAH RABABAH MAHA AL-SHDAIFAT EjLAL ABU-EL-RUB FATIMAH ALMAHASNEH RAMADA R.KHASAWNEH AYMAN ALZU’BI HUTHAIFA MAGABLEH Department of Basic Medical Sciences Faculty of MedicineYarmouk UniversityIrbidJordan

Mesenchymalstemcells(MSCs)*** the internal cardiac microenvironment to facilitate their immunomodulatory and differentiation abilities,which are essential to restore heart *** can be easily isolated from different sources,including bone marrow,adipose tissues,umbilical cord,and dental *** from various sources differ in their regenerative and therapeutic abilities for cardiovascular *** this review,we will summarize the therapeutic potential of each MSC source for heart diseases and highlight the possible molecular mechanisms of each source to restore cardiac function.

关键词： Bone marrow mesenchymal stem cells Adipose tissue mesenchymal stem cells Dental pulp stem cells Umbilical cord mesenchymal stem cells Cardiomyocytes Regeneration Myocardial infarction Mesenchymal stem cells Differentiation Immunomodulation

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Study of Utilization of Embedded Metal Nanoparticles in Dielectric Thin Film for Humidity Sensing

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Photonic Sensors 2020年第2期10卷 155-161页

作者： hala j.EL-KHOZONDAR Waleed S.MOHAMMED Islamic University of Gaza Electrical Engineering DepartmentGaza-108Palestine Bangkok University BU-CROCCSSchool Of EngineeringPathumthani 12120Thailand

This paper presents a theoretical study of the utilization of the shift in the reflection peak of the thin dielectric film with embedded metal nanoparticles(NPs)towards humidity and vapor *** presence of the NPs in the film results in a complex effective ***,the reflected light at the superstrate-film interface causes a phase shift when the index of the surrounding is *** alters the reflected spectrum of the formed Fabry-Perot,for both the reflection peak wavelength and ***,the dynamic range of the proposed sensor is optimized through the variation of the film thickness and nanoparticle metal type,as well as the volume fraction.

关键词： Nanoparticles polymer film humidity sensor

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Sensitivity Enhancement of Nonlinear Waveguide Sensors With Conducting Graphene Layer： TE Mode

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Photonic Sensors 2018年第1期8卷 29-33页

作者： hala j. EL-KHOZONDAR Mohammed M. SHABAT Rana KHLIFA Electrical Engineering department lslamic University of Gaza P.O.Box 108 Gaza Palestine Physics department lslamic University of Gaza P.O.Box 108 Gaza Palestine

We propose a three-layer waveguide sensor. The proposed sensor consists of a graphene thin layer with constant conductivity at the interface between air and dielectric media with thickness d sitting above a nonlinear layer. The sensitivity of the sensor is derived from the dispersion equation. The sensitivity is calculated for both TE0 and TE1. Results show that the sensitivity of the proposed sensor depends on the conductivity of the graphene layer, the angular frequency, and the thickness of the dielectric layer.

关键词： Graphene nonlinear Kerr like materials optical sensor waveguide sensor

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Prediction of diabetes and hypertension using multi-layer perceptron neural networks

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International journal of Modeling, Simulation, and Scientific Computing 2021年第2期12卷 120-137页

作者： Hani Bani-Salameh Shadi MAlkhatib Moawyiah Abdalla Mo’taz Al-Hami Ruaa Banat hala Zyod Ahed j Alkhatib Department of Software Engineering The Hashemite University ZarqaJordan Department of Computer Information System The Hashemite University ZarqaJordan Department of Legal Medicine School of Medicine JUSTJordan

Background:Diabetes and hypertension are two of the commonest diseases in the *** they unfavorably affect people of different age groups,they have become a cause of concern and must be predicted and diagnosed well in ***:This research aims to determine the effectiveness of artificial neural networks(ANNs)in predicting diabetes and blood pressure diseases and to point out the factors which have a high impact on these ***:This work used two online datasets which consist of data collected from 768 *** applied neural network algorithms to predict if the individuals have those two diseases based on some *** prediction is based on five factors:age,weight,fat-ratio,glucose,and insulin,while blood pressure prediction is based on six factors:age,weight,fat-ratio,blood pressure,alcohol,and ***:A model based on the Multi-Layer Perceptron Neural Network(MLP)was *** inputs of the network were the factors for each disease,while the output was the prediction of the disease’s *** model performance was compared with other classifiers such as Support Vector Machine(SVM)and K-Nearest Neighbors(KNN).We used performance metrics measures to assess the accuracy and performance of ***,a tool was implemented to help diagnose the diseases and to understand the ***:The model predicted the two diseases with correct classification rate(CCR)of 77.6%for diabetes and 68.7%for *** results indicate that MLP correctly predicts the probability of being diseased or not,and the performance can be significantly increased compared with both SVM and *** shows MLPs effectiveness in early disease prediction.

关键词： Artificial Neural Network(ANN) Multi-Layer Perceptron(MLP) SVM KNN decision-making prediction tools diabetes blood pressure hypertension software tools

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TM Waves Propagation at Magnetoplasma-MTMs Interface

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World journal of Condensed Matter Physics 2012年第4期2卷 171-174页

作者： Rifa j. El-Khozondar hala j. El-Khozondar Mohammed M. Shabat Alexander W. Koch Electrical Engineering Department Islamic University of Gaza Gaza Palestine Physics Department Al-Aqsa University Gaza Palestine Physics Department Islamic University of Gaza Gaza Palestine Technical University Munich Instutite for Measure- ment Systems and Sensor Technology München Germany

A new structure for isolator is proposed in this work. The proposed structure consists of metamaterial-magnetoplasma semiconductors parallel plate structure. The utility of magnetoplasma semiconductors is promising in developing nonreciprocal components in the submillimeter-wave and millimeter-wave bands for satellite communications. Metamaterials (MTMs) is used to enhance the behavior of the isolator.

关键词： Magnetoplasma Metamaterials Submilimeter Waves Isolator Nonreciprocal Components

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Influence of Magnetic Field Inhomogeneity on a Magneto-Optical Current Sensor

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journal of Sensor Technology 2012年第1期2卷 19-22页

作者： hala j. El-Khozondar Mathias S. Müller Rifa j. El-Khozondar Alexander W. Koch Electrical Engineering Department Islamic University of Gaza Gaza Palestine Measurements and Sensor Technology Technical University Munich Munich Germany Physics Department Al-Aqsa University Gaza Palestine

The growth in the capacity of electric power system creates a demand for the protection of relaying systems. Optical current transducers—OCT that are mainly made up of single mode optical fibers which are subjected to Faraday rotation are used as a replacement for electromagnetic transducers due to their immunity to electromagnetic interference. However, the principal parameter in this system, the sensitivity to magnetic fields or current, depends on the Verdet constant, which is low in the case of optical fibers. However, the optical path length can be increased to compensate for it by winding the fiber around a current carrying element a large number of turns. In this work, we study a current sensor, which is made up of a conductor coil with a fiber inside, thus increasing sensitivity. We study the effect of the inhomogeneity of the magnetic field induced by the current on the sensitivity of the optical fiber sensor.

关键词： Fiber Optic Sensors Magneto-Optical Sensor Faraday Rotation

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The Sensitivity of TE Filed Propagating in LHM-Antiferromagnetic Sensor

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journal of Chemistry and Chemical Engineering 2014年第4期8卷 421-427页

作者： Zeyad I. Al-Sahhar hala j. El-Khozondar Mohamad M. Shabat Physics Department Al-Aqsa University Gaza P. O. Box 4051 Palestine Electrical Engineering Department Islamic University Gaza P. O. Box 108 Palestine Physics Department Islamic University Gaza P. O. Box 108 Palestine

A three-layer waveguide structure sensor consists of LHMs (left-handed materials) film surrounded by dielectric cladding and antiferromagnetic substrate is proposed. LHMs known as MTMs (metamaterials) have simultaneous negative permeability and permittivity. The dispersion relation for the structure is derived for TE guided modes. Two ranges of frequencies are chosen such that Voigt permeability, μ v, either negative or positive. The sensitivity is proven to be affected by different parameters including the film thickness, LHM parameters, and Voigt frequency.

关键词：灵敏度磁传感器 TE 结构传感器左手材料传播介电常数色散关系

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