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Hyper-Parameter Optimization of Semi-Supervised GANs Based-Sine Cosine algorithm for Multimedia Datasets

Computers, Materials & Continua 2022年第10期73卷 2169-2186页

作者： anas al-ragehi Said Jadid Abdulkadir Amgad Muneer Safwan Sadeq Qasem al-Tashi Computer and Information Sciences Department Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Centre for Research in Data Science(CERDAS) Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Mechanical Engineering Department Universiti Teknologi PETRONASSeri Iskandar32610PerakMalaysia Department of Imaging Physics The University of Texas MD Anderson Cancer CenterHoustonTXUSA University of albaydha AlbaydhaYemen

Generative Adversarial Networks(GANs)are neural networks that allow models to learn deep representations without requiring a large amount of training ***-Supervised GAN Classifiers are a recent innovation in GANs,where GANs are used to classify generated images into real and fake and multiple classes,similar to a general multi-class ***,GANs have a sophisticated design that can be challenging to *** is because obtaining the proper set of parameters for all models-generator,discriminator,and classifier is *** a result,training a single GAN model for different datasets may not produce satisfactory ***,this study proposes an SGAN model(Semi-Supervised GAN Classifier).First,a baseline model was *** model was then enhanced by leveraging the Sine-Cosine algorithm and Synthetic Minority Oversampling Technique(SMOTE).SMOTE was used to address class imbalances in the dataset,while Sine Cosine algorithm(SCA)was used to optimize the weights of the classifier *** optimal set of hyperparameters(learning rate and batch size)were obtained using grid manual *** well-known benchmark datasets and a set of evaluation measures were used to validate the proposed *** proposed method was then compared against existing models,and the results on each dataset were recorded and demonstrated the effectiveness of the proposed *** proposed model successfully showed improved test accuracy scores of 1%,2%,15%,and 5%on benchmarking multimedia datasets;Modified National Institute of Standards and Technology(MNIST)digits,Fashion MNIST,Pneumonia Chest X-ray,and Facial Emotion Detection Dataset,respectively.

关键词： Generative adversarial networks semi-supervised generative adversarial network sine-cosine algorithm SMOTE principal component analysis grid search

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Pervasive Attentive Neural Network for Intelligent Image Classification Based on N-CDE’s

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Computers, Materials & Continua 2024年第4期79卷 1137-1156页

作者： anas W.Abulfaraj Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityRabigh21911Saudi Arabia

The utilization of visual attention enhances the performance of image classification *** attentionbased models have demonstrated notable performance,but many of these models exhibit reduced accuracy when confronted with inter-class and intra-class similarities and ***-Controlled Differential Equations(N-CDE’s)and Neural Ordinary Differential Equations(NODE’s)are extensively utilized within this ***’s possesses the capacity to effectively illustrate both inter-class and intra-class similarities and differences with enhanced *** this end,an attentive neural network has been proposed to generate attention maps,which uses two different types of N-CDE’s,one for adopting hidden layers and the other to generate attention *** distinct attention techniques are implemented including time-wise attention,also referred to as bottom N-CDE’s;and element-wise attention,called topN-CDE’***,a trainingmethodology is proposed to guarantee that the training problem is sufficiently *** classification tasks including fine-grained visual classification andmulti-label classification,are utilized to evaluate the *** proposedmethodology is employed on five publicly available datasets,including CUB-200-2011,ImageNet-1K,PASCal VOC 2007,PASCal VOC 2012,and MS *** obtained visualizations have demonstrated that N-CDE’s are better appropriate for attention-based activities in comparison to conventional NODE’s.

关键词： Differential equations neural-controlled DE image classification attention maps N-CDE’s

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Complexity of the Contexts:Features of Private Tutoring and Units for Comparison in the GCC Countries of the Middle East

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ECNU Review of Education 2024年第1期7卷 42-65页

作者： Mark Bray anas Hajar East China Normal University&The University of Hong Kong Nazarbayev University

Purpose:Private supplementary tutoringwidely known as shadow education because of the ways in which it mimics regular schooling-is increasingly visible across the *** Middle East is no exception,though the phenomenon has received relatively little attention in the English-language *** article maps some key features of shadow education,identifying ways in which contextual forces have shaped ***/Approach/Methods:The article focuses on patterns across and within the six members of the Gulf Cooperation Council(GCC),namely Bahrain,Kuwait,Oman,Qatar,Saudi Arabia,and the United Arab *** draws on literature in both Arabic and English and shows the value of multipleunits of ***:Private tutoring has a long history as a significant phenomenon in some GCC countries,but in others developed more *** governments have had active policies to dampen the phenomenon,but with little *** in the complex dynamics include social,economic andcultural ***:The article assembles literature from around the region,noting both commonalities and diversities among GCC *** contributes to the global literature by providing the regional mapping from this specific part of the world and by showing comparisons with other world regions.

关键词： Cultural forces Gulf Cooperation Council Middle East policies private tutoring shadow education

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Computational Fluid Dynamics Approach for Predicting Pipeline Response to Various Blast Scenarios: A Numerical Modeling Study

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Computer Modeling in Engineering & Sciences 2024年第9期140卷 2747-2777页

作者： Farman Saifi Mohd Javaid Abid Haleem S.M.anas Department of Mechanical Engineering Jamia Millia Islamia(A Central University)New Delhi110025India Department of Civil Engineering Jamia Millia Islamia(A Central University)New Delhi110025India

Recent industrial explosions globally have intensified the focus in mechanical engineering on designing infras-tructure systems and networks capable of withstanding blast *** centered on high-profile facilities such as embassies and petrochemical plants,this concern now extends to a wider array of infrastructures and *** and scholars increasingly prioritize structural safety against explosions,particularly to prevent disproportionate collapse and damage to nearby *** has further amplified the reliance on oil and gas pipelines,making them vital for urban life and prime targets for terrorist ***,there is a growing imperative for computational engineering solutions to tackle blast loading on pipelines and mitigate associated risks to avert *** this study,an empty pipe model was successfully validated under contact blast conditions using Abaqus software,a powerful tool in mechanical engineering for simulating blast effects on buried *** a Eulerian-Lagrangian computational fluid dynamics approach,the investigation extended to above-surface and below-surface blasts at standoff distances of 25 and 50 *** descriptions in the numerical model relied on Abaqus’default mechanical *** analysis revealed varying pipe performance,with deformation decreasing as explosion-to-pipe distance *** explosion’s location relative to the pipe surface notably influenced deformation levels,a key finding highlighted in the ***,quantitative findings indicated varying ratios of plastic dissipation energy(PDE)for different blast scenarios compared to the contact blast(P0).Specifically,P1(25 mm subsurface blast)and P2(50 mm subsurface blast)showed approximately 24.07%and 14.77%of P0’s PDE,respectively,while P3(25 mm above-surface blast)and P4(50 mm above-surface blast)exhibited lower PDE values,accounting for about 18.08%and 9.67%of P0’s PDE,***

关键词： Blast loading computational fluid dynamics computer modeling pipe networks response prediction structural safety

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Pulmonary Edema and Pleural Effusion Detection Using Efficient Net-V1-B4 Architecture and AdamW Optimizer from Chest X-Rays Images

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Computers, Materials & Continua 2024年第7期80卷 1055-1073页

作者： anas AbuKaraki Tawfi alrawashdeh Sumaya Abusaleh Malek Zakarya alksasbeh Bilal alqudah Khalid alemerien Hamzah alshamaseen Faculty of Information Technology Al-Hussein Bin Talal UniversityMa’an71111Jordan College of Information and Communications Technology(ICT) Tafila Technical UniversityTafila66110Jordan IOTISTIC Solutions Company Amman11185Jordan

This paper presents a novelmulticlass systemdesigned to detect pleural effusion and pulmonary edema on chest Xray images,addressing the critical need for early detection in healthcare.A new comprehensive dataset was formed by combining 28,309 samples from the ChestX-ray14,PadChest,and CheXpert databases,with 10,287,6022,and 12,000 samples representing Pleural Effusion,Pulmonary Edema,and Normal cases,***,the preprocessing step involves applying the Contrast Limited Adaptive Histogram Equalization(CLAHE)method to boost the local contrast of the X-ray samples,then resizing the images to 380×380 dimensions,followed by using the data augmentation *** classification task employs a deep learning model based on the EfficientNet-V1-B4 architecture and is trained using the AdamW *** proposed multiclass system achieved an accuracy(ACC)of 98.3%,recall of 98.3%,precision of 98.7%,and F1-score of 98.7%.Moreover,the robustness of the model was revealed by the Receiver Operating Characteristic(ROC)analysis,which demonstrated an Area Under the Curve(AUC)of 1.00 for edema and normal cases and 0.99 for *** experimental results demonstrate the superiority of the proposedmulti-class system,which has the potential to assist clinicians in timely and accurate diagnosis,leading to improved patient ***,ablation-CAM visualization at the last convolutional layer portrayed further enhanced diagnostic capabilities with heat maps on X-ray images,which will aid clinicians in interpreting and localizing abnormalities more effectively.

关键词： Image classification decision support system EfficientNet-V1-B4 AdamW optimizer pulmonary edema pleural effusion chest X-rays

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Does Smoking Weaken the Immune System: A Narrative Review

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Health 2024年第6期16卷 553-560页

作者： anas Malik Radif alubaidi Nevada USA

Smoking has a complex impact on the immune system, affecting both innate and adaptive immunity. It can exacerbate pathogenic immune responses and attenuate defensive immunity, leading to a higher susceptibility to infections and certain diseases. The chemicals in cigarette smoke, such as nicotine and carbon monoxide, can alter immune cell functions and inflammatory responses. Smoking can also have long-term effects on the immune system, with some changes persisting even after quitting [1]. According to a Penn Medicine Physician, the Medical Oncologist Dr. David Porter, “People who are smokers tend to get sicker from infections”, “It may be that smoking impacts the immune system’s ability to respond appropriately”. Thus, such individuals within smoking exposure history might be considered as immunocompromised due to the altered and weakened immune system. Cigarette smoking is a prevalent habit with far-reaching health implications. Among its many adverse effects, smoking significantly alters the immune system’s functionality [1].

关键词： Smoking Immunity Immune System Immunocompromised E-Cigarettes Hookahs

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Knowledge, Attitude, and Practice of Using Helmets in Children amongst Parents to Prevent Head Injuries: A Cross-Sectional Study in Riyadh, Saudi Arabia

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Open Journal of Pediatrics 2024年第2期14卷 255-265页

作者： Turki Salah aldeen Bukhari Abdullah Yahya aldhban anas Abdulrahman alqasem Dona Jamal al Hatlani Hareth aldosaimani Hamad A. al Madi Khalid alqahtani Prince Sultan Military Medical City Riyadh Saudi Arabia Emergency Department Disaster Medicine and Emergency Preparedness Prince Sultan Military Medical City Riyadh Saudi Arabia Emergency Department Asir Central Hospital Abha Saudi Arabia

Objectives: The primary objective was to characterize the range of Knowledge, Attitude, and Practice (KAP) of Helmet use in children amongst parents to prevent head injuries and death. Methods: This is a cross-sectional study, done by online survey using a snowball sampling technique, the number of included responses were 386 parents (Male and female) living in Riyadh Aged 21 - 60 years old or above. Results: The study showed that there is a difference in Parents’ belief in the importance of helmet use while riding a Bicycle vs Motorcycle/Quad bike and that was affected by parents’ education level, almost all the people who answered the survey (76.7%) agree that it is important for their children to wear a helmet when riding both a Bicycle and a Motorcycle or Quadbike with a cumulative percentage of (93.8%). And almost all agreed on multiple approaches to help increase helmet use be it by forcing rental shops to give out helmets, forcing sellers to recommend the use of helmets, increasing awareness campaigns, and imposing fines for not wearing helmets. Conclusions: This study is the first to explore Family helmet use while riding Bicycles and Motorcycles/Quad bikes. although Parent’s belief in the importance of helmet use for their children was high, it is clear that the level of practice is low. With that the risk of head injuries might be high, our findings suggest that safety interventions for increasing pediatric helmet use are needed to increase helmet use and reduce the risk of head injury and hospitalization.

关键词： Head Trauma Head Injury Helmet Bicycle Motorcycle Quad Bike KAP Knowledge Attitude Practice

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Nonlinear Study on the Mechanical Performance of Built-Up Cold-Formed Steel Concrete-Filled Columns under Compression

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Computer Modeling in Engineering & Sciences 2024年第6期139卷 3435-3465页

作者： Oulfa Harrat Yazid Hadidane S.M.anas Nadhim Hamah Sor Ahmed Farouk Deifalla Paul O.Awoyera Nadia Gouider Civil Engineering Laboratory Faculty of TechnologyDepartment of Civil EngineeringBadji Mokhtar-Annaba UniversityP.O.Box 12Annaba23000Algeria Department of Civil Engineering Faculty of Engineering and TechnologyJamia Millia Islamia(A Central University)New Delhi110025India Civil Engineering Department University of GarmianKalar46021Iraq Department of Civil Engineering Harran UniversitySanliurfa63510Turkey Structural Engineering and Construction Management Department Future University in EgyptNew Cairo11835Egypt Department of Civil Engineering Covenant UniversityOta112233Nigeria

Given their numerous functional and architectural benefits,such as improved bearing capacity and increased resistance to elastic instability modes,cold-formed steel(CFS)built-up sections have become increasingly developed and used in recent years,particularly in the construction *** paper presents an analytical and numerical study of assembled CFS two single channel-shaped columns with different slenderness and configurations(backto-back,face-to-face,and box).These columns were joined by double-row rivets for the back-to-back and box configurations,whereas they were welded together for the face-to-face *** built-up columns were filled with ordinary concrete of good *** element models were applied,using ABAQUS software,to assess mechanical performance and study the influence of assembly techniques on the behavior of cold-formed columns under axial *** approaches based on Eurocode 3 and Eurocode 4 recommendations for un-filled and concrete-filled columns respectively were followed for the numerical analysis,and concrete confinement effects were also considered per American Concrete Institute(ACI)standards for face-to-face and box *** obtained results indicated a good correlation between the numerical results and the proposed analytical methodology which did not exceed 8%.The failure modes showed that the columns failed due to instabilities such as local and global buckling.

关键词： Cold-formed steel built-up sections slenderness rivets welded axial compression analytical approaches confinement buckling

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DeepSVDNet:A Deep Learning-Based Approach for Detecting and Classifying Vision-Threatening Diabetic Retinopathy in Retinal Fundus Images

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Computer Systems Science & Engineering 2024年第2期48卷 511-528页

作者： anas Bilal Azhar Imran Talha Imtiaz Baig Xiaowen Liu Haixia Long Abdulkareem alzahrani Muhammad Shafiq College of Information Science and Technology Hainan Normal UniversityHaikou571158China Department of Creative Technologies Air UniversityIslamabadPakistan School of Life Science and Technology University of Electronic Science and Technology of China UESTCChengduChina School of Science and Technology University of Management and Technology UMTLahorePunjabPakistan Faculty of Computer Science&Information Technology Al Baha UniversityAl BahaSaudi Arabia School of Information Engineering Qujing Normal UniversityQujingChina

Artificial Intelligence(AI)is being increasingly used for diagnosing Vision-Threatening Diabetic Retinopathy(VTDR),which is a leading cause of visual impairment and blindness ***,previous automated VTDR detection methods have mainly relied on manual feature extraction and classification,leading to *** paper proposes a novel VTDR detection and classification model that combines different models through majority *** proposed methodology involves preprocessing,data augmentation,feature extraction,and classification *** use a hybrid convolutional neural network-singular value decomposition(CNN-SVD)model for feature extraction and selection and an improved SVM-RBF with a Decision Tree(DT)and K-Nearest Neighbor(KNN)for *** tested our model on the IDRiD dataset and achieved an accuracy of 98.06%,a sensitivity of 83.67%,and a specificity of 100%for DR detection and evaluation tests,*** proposed approach outperforms baseline techniques and provides a more robust and accurate method for VTDR detection.

关键词： Diabetic retinopathy(DR) fundus images(FIs) support vector machine(SVM) medical image analysis convolutional neural networks(CNN) singular value decomposition(SVD) classification

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Assessing Moroccan physician knowledge and practices regarding maternal obesity's impact on childhood obesity:Implications for prevention and intervention

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World Journal of Clinical Pediatrics 2024年第2期13卷 146-160页

作者： Imane Douiyeh Jihane Khamlich Naima Nabih Asmae Saih Ilham Boumendil anas Regragui anass Kettani Amal Safi Laboratory Biochemistry Environment and Agri-food Department of BiologyFaculty of Science and Technics MohammediaHassanⅡUniversity CasablancaMohammedia 28806Morocco Department of Biology Faculty of Sciences Ben M’Sik HassanⅡUniversity of CasablancaCasablanca 20000Morocco Department of Medical ACHAS Association of the Doctors Ain Chock Casablanca MoroccoCasablanca 20400Morocco Department of Medical HassanⅡUniversityCasablanca 20400Morocco

BACKGROUND Childhood obesity is a growing global concern with far-reaching health *** study focuses on evaluating the knowledge and practices of physicians in Morocco regarding the link between maternal obesity and childhood *** the increasing prevalence of childhood obesity worldwide,this issue remains inadequately addressed in the Moroccan *** To assess the awareness and practices of physicians in Morocco concerning the connection between maternal obesity and childhood *** The research encompasses a comprehensive survey of practicing physicians,revealing significant gaps in awareness and practices related to maternal *** Notably,a significant portion of doctors do not provide adequate guidance to overweight pregnant women,highlighting the urgency for targeted educational *** In conclusion,this research illuminates critical areas for improvement in tackling childhood obesity in *** addressing these gaps,fostering awareness,and enhancing medical practices,the healthcare system can contribute significantly to preventing childhood obesity and improving the overall health of future generations.

关键词： Childhood obesity Maternal obesity Management Prevention Screening

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