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Optimizing Steering Angle Predictive Convolutional Neural Network for Autonomous Car

Computers, Materials & Continua 2022年第5期71卷 2285-2302页

作者： Hajira Saleem Faisal Riaz Asadullah Shaikh khairan rajab Adel rajab Muhammad Akram Mana Saleh Al Reshan Control Automotive and Robotics Lab Affiliated lab of National Center of Robotics and Automation(NCRA HEC Pakistan)and with the Department of Computer Science and Information TechnologyMirpur University of Science and Technology(MUST)Mirpur Azad Kashmir10250Pakistan College of Computer Science and Information System Najran UniversityNajran61441Saudi Arabia College of Computer Science and Engineering University of South FloridaTampa33620United States

Deep learning techniques,particularly convolutional neural networks(CNNs),have exhibited remarkable performance in solving visionrelated problems,especially in unpredictable,dynamic,and challenging *** autonomous vehicles,imitation-learning-based steering angle prediction is viable due to the visual imagery comprehension of *** this regard,globally,researchers are currently focusing on the architectural design and optimization of the hyperparameters of CNNs to achieve the best *** has proven the superiority of metaheuristic algorithms over the manual-tuning of ***,to the best of our knowledge,these techniques are yet to be applied to address the problem of imitationlearning-based steering angle ***,in this study,we examine the application of the bat algorithm and particle swarm optimization algorithm for the optimization of the CNN model and its hyperparameters,which are employed to solve the steering angle prediction *** validate the performance of each hyperparameters’set and architectural parameters’set,we utilized the Udacity steering angle dataset and obtained the best results at the following hyperparameter set:optimizer,Adagrad;learning rate,0.0052;and nonlinear activation function,exponential linear *** per our findings,we determined that the deep learning models show better results but require more training epochs and time as compared to shallower *** show the superiority of our approach in optimizing CNNs through metaheuristic algorithms as compared with the manual-tuning *** testing was also performed using the model trained with the optimal architecture,which we developed using our approach.

关键词： Bat algorithm convolutional neural network hyperparameters metaheuristic optimization algorithm steering angle prediction

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Improved-Equalized Cluster Head Election Routing Protocol for Wireless Sensor Networks

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Computer Systems Science & Engineering 2023年第1期44卷 845-858页

作者： Muhammad Shahzeb Ali Ali Alqahtani Ansar Munir Shah Adel rajab Mahmood Ul Hassan Asadullah Shaikh khairan rajab Basit Shahzad Department of Computer Science Institute of Southern PunjabMultan5932Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Computer Skills Deanship of Preparatory YearNajran UniversityNajran61441Saudi Arabia Department of Engineering National University of Modern LanguagesIslamabad44000Pakistan

Throughout the use of the small battery-operated sensor nodes encou-rage us to develop an energy-efficient routing protocol for wireless sensor networks(WSNs).The development of an energy-efficient routing protocol is a mainly adopted technique to enhance the lifetime of *** routing protocols are available,but the issue is still *** is one of the most important techniques in the existing routing *** the clustering-based model,the important thing is the selection of the cluster *** this paper,we have proposed a scheme that uses the bubble sort algorithm for cluster head selection by considering the remaining energy and the distance of the nodes in each ***,the bubble sort algorithm chose the two nodes with the maximum remaining energy in the cluster and chose a cluster head with a small *** proposed scheme performs hierarchal routing and direct routing with some energy *** simulation will be performed in MATLAB to justify its performance and results and compared with the ECHERP model to justify its ***,the simulations will be performed in two scenarios,gate-way-based and without gateway to achieve more energy-efficient results.

关键词： Bubble sort algorithm gateway energy thresholds wireless sensor networks

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Thalassemia Screening by Sentiment Analysis on Social Media Platform Twitter

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Computers, Materials & Continua 2023年第7期76卷 665-686页

作者： Wadhah Mohammed M.Aqlan Ghassan Ahmed Ali khairan rajab Adel rajab Asadullah Shaikh Fekry Olayah Shehab Abdulhabib Saeed Alzaeemi Kim Gaik Tay Mohd Adib Omar Ernest Mangantig School of Computer Sciences Universiti Sains MalaysiaUSM11800PenangMalaysia College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn Malaysia86400JohorMalaysia IPPT Universiti Sains MalaysiaUSM11800PenangMalaysia

Thalassemia syndrome is a genetic blood disorder induced by the reduction of normal hemoglobin production,resulting in a drop in the size of red blood *** severe forms,it can lead to *** genetic disorder has posed a major burden on public health wherein patients with severe thalassemia need periodic therapy of iron chelation and blood transfusion for ***,controlling thalassemia is extremely important and is made by promoting screening to the general population,particularly among thalassemia *** Twitter is one of the most influential social media platforms for sharing opinions and discussing different topics like people’s health conditions and major public health *** individuals’sentiments in these tweets helps the research centers to formulate strategies to promote thalassemia screening to the *** effective Lexiconbased approach has been introduced in this study by highlighting a classifier called valence aware dictionary for sentiment reasoning(VADER).In this study applied twitter intelligence tool(TWINT),Natural Language Toolkit(NLTK),and VADER constitute the three main *** represents a gold-standard sentiment lexicon,which is basically tailored to attitudes that are communicated by using social *** contribution of this study is to introduce an effective Lexicon-based approach by highlighting a classifier calledVADERto analyze the sentiment of the general population,particularly among thalassemia carriers on the social media platform *** this study,the results showed that the proposed approach achieved 0.829,0.816,and 0.818 regarding precision,recall,together with F-score,*** tweets were crawled using the search keywords,“thalassemia screening,”thalassemia test,“and thalassemia diagnosis”.Finally,results showed that India and Pakistan ranked the highest in mentions in tweets by the public’s conversations on thalassemia screening with 181 and 164 tweets,respectively.

关键词： Social media platform Twitter screening thalassemia lexicon-based VADER

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An Improved Machine Learning Technique with Effective Heart Disease Prediction System

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Computers, Materials & Continua 2021年第12期69卷 4169-4181页

作者： Mohammad Tabrez Quasim Saad Alhuwaimel Asadullah Shaikh Yousef Asiri khairan rajab Rihem Farkh Khaled Al Jaloud College of Computing and Information Technology University of BishaBisha67714Saudi Arabia King Abdulaziz City for Science and Technology P.O.Box 6086Riyadh11442Saudi Arabia College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia College of Engineering Muzahimiyah BranchKing Saud UniversityRiyadh11451Saudi Arabia Department of Electrical Engineering Laboratory for AnalysisConception and Control of SystemsLR-11-ES20National Engineering School of TunisTunis El Manar University1002Tunisia

Heart disease is the leading cause of death *** heart disease is challenging because it requires substantial experience and *** research studies have found that the diagnostic accuracy of heart disease is *** coronary heart disorder determines the state that influences the heart valves,causing heart *** indications of coronary heart disorder are strep throat with a red persistent skin rash,and a sore throat covered by tonsils or strep *** work focuses on a hybrid machine learning algorithm that helps predict heart attacks and arterial *** first,we achieved the component perception measured by using a hybrid cuckoo search particle swarm optimization(CSPSO)*** this perception measure,characterization and accuracy were improved,while the execution time of the proposed model was *** CSPSO-deep recurrent neural network algorithm resolved issues that state-of-the-art methods *** proposed method offers an illustrative framework that helps predict heart attacks with high *** proposed technique demonstrates the model accuracy,which reached 0.97 with the applied dataset.

关键词： Machine learning deep recurrent neural network effective heart disease prediction framework

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Assessment of Breast Cancer Prevention Practices among Women Attending Primary Health Care in Abha City, Aseer Region, Saudi Arabia

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International Journal of Clinical Medicine 2024年第2期15卷 31-54页

作者： Sabah Mohammed Asiri Sultan Yahia Alfifii Tagreed khairan Al-Rashidi Sager Misfer Alqahtani Faiz Abdulrahman Alshafa Fayez Mari Alamri Amal Mohammed Asiri Fatima Mohammed Ali Almagadi Thuraya Mohammed Asiri Department of Therapeutic Assistance Management General Directorate of Health Affairs Asser Region Abha Saudi Arabia Department of Health Affairs General Directorate of Health Affairs Asser Region Abha Saudi Arabia Department of Kidney King Khaled Hospital Hail Saudi Arabia Department of Nursing Sarat Abida Hospital Aseer Saudi Arabia Department of Radiation Oncology King Faisal Medical City Abha Saudi Arabia Department of Health Affairs KSA MOH Department of Kidney Dialysis Centers General Directorate of Health Affairs Aseer Region Abha Saudi Arabia Department of Operation Ahad Rafidah Hospital General Directorate of Health Affairs in Asseer Region Abha Saudi Arabia South Qunfudah General Hospital Jizan Saudi Arabia Armed Forces Southern Region Hospital Aseer Saudi Arabia

Cancer is a leading cause of death worldwide, with breast cancer being the most common (2.26 million new cases and 685,000 deaths). In Saudi Arabia, breast cancer ranked the first among females in 2014, accounting for 15.9% of all cancers reported among Saudi nationals and 28.7% of all cancers reported among females of all ages. Early detection of breast cancer could decrease the risks, have a better prognosis, and have better outcomes/more successful treatments. Prevalence of breast cancer reached more than 25% of all diagnosed cancer in the kingdom among women. Aim: This study aims to assess the knowledge and performance of women attending primary care centers about breast self-examination and mammogram screening for prevention and early detection of breast cancer in Abha city primary healthcare centers, Kingdom of Saudi Arabia. Research Method: cross sectional design was conducted by using questionnaire, which was distributed to primary care center nurses. The collected data was statistically analyzed using the Statistical Package for Social Sciences, version 25. Results: The study found that participants had poor awareness and knowledge about breast self-examination, risk factors for breast cancer, and trends and practices in early diagnosis of breast cancer. Conclusion and Recommendations: It recommends increasing awareness campaigns and providing educational programs to improve knowledge and practices.

关键词： Assessment Breast Cancer Prevention Practices Women Attending Health Care Centers Abha City

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Energy-Efficient Static Data Collector-based Scheme in Smart Cities

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Computers, Materials & Continua 2022年第7期72卷 2077-2092页

作者： Adel D.rajab College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia

In the Internet of Things(IoT)-based smart city applications,employing the Data Collectors(DC)as the data brokers between the nodes and Base Station(BS)can be a promising solution to enhance the energy efficiency of energy-constrained IoT sensor *** are several schemes that utilize mobile DCs to collect the data packets from sensor ***,moving DCs along the hundreds of thousands of sensors sparsely distributed across a smart city is considered a design challenge in such *** concern lies in how these mobile DCs are being ***,to overcome these limitations,we exploit multiple energy-limited Static Data Collectors(SDC)which are deployed at the locations optimized so that the energy consumption of both nodes and SDCs is ***,anUnmannedAerial Vehicle(UAV)-enabled wireless power transfer is considered for sustaining the SDCs to avoid their energy depletion and data packet *** sustainable charging process operates periodically in each cycle so that the UAV flies from a charging station and after recharging the SDCs,it comes back to the station to be *** this study,we formulate a problem to optimize the movement trajectory and charging time of UAV so that sustainable operation of SDCs during a cycle can be *** the prior studies,our proposed scheme determines the optimal trajectory and charging time at the beginning of each cycle which leads to increase accuracy in comparison with long-term optimization-based *** outcomes of simulation experiments show that the proposed scheme achieves improved network performance in terms of data delivery ratio(12.5%);system throughput(6.6%);total energy consumption(59.19%);and network lifetime(58%)as compared to previous related works.

关键词： Smart city wireless sensor network power constraint energy efficiency

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What’s old is new again:Insights into diabetic foot microbiome

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World Journal of Diabetes 2023年第6期14卷 680-704页

作者： Azza A H rajab Wael A H Hegazy Department of Microbiology and Immunology Faculty of PharmacyZagazig UniversityZagzig 44511Egypt

Diabetes is a chronic disease that is considered one of the most stubborn global health problems that continues to defy the efforts of scientists and *** prevalence of diabetes in the global population continues to grow to alarming levels year after year,causing an increase in the incidence of diabetes complications and health care costs all over the *** major complication of diabetes is the high susceptibility to infections especially in the lower limbs due to the immunocompromised state of diabetic patients,which is considered a definitive factor in all *** foot infections continue to be one of the most common infections in diabetic patients that are associated with a high risk of serious complications such as bone infection,limb amputations,and life-threatening systemic *** this review,we discussed the circumstances associated with the high risk of infection in diabetic patients as well as some of the most commonly isolated pathogens from diabetic foot infections and the related virulence *** addition,we shed light on the different treatment strategies that aim at eradicating the infection.

关键词： Diabetic foot infection Chronic ulcer Bacterial biofilm Multidrug resistance Methicillin resistant Staphylococcus aureus Vancomycin resistance

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Sentiment Analysis of Roman Urdu on E-Commerce Reviews Using Machine Learning

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Computer Modeling in Engineering & Sciences 2022年第6期131卷 1263-1287页

作者： Bilal Chandio Asadullah Shaikh Maheen Bakhtyar Mesfer Alrizq Junaid Baber Adel Sulaiman Adel rajab Waheed Noor Department of Computer Science and Information Technology University of BalochistanQuetta87300Pakistan College of Computer Science and Information Systems Najran UniversityNajran61441Saudi Arabia Department of Information Technology University of BalochistanQuetta87300Pakistan

Sentiment analysis task has widely been studied for various languages such as English and ***,Roman Urdu sentiment analysis yet requires more attention from peer-researchers due to the lack of Off-the-Shelf Natural Language Processing(NLP)*** primary objective of this study is to investigate the diverse machine learning methods for the sentiment analysis of Roman Urdu data which is very informal in nature and needs to be lexically *** mitigate this challenge,we propose a fine-tuned Support Vector Machine(SVM)powered by Roman Urdu *** our proposed scheme,the corpus data is initially cleaned to remove the anomalies from the *** initial pre-processing,each user review is being *** input text is transformed into a feature vector using the bag-of-word ***,the SVM is used to classify and detect user *** proposed scheme is based on a dictionary based Roman Urdu *** creation of the Roman Urdu stemmer is aimed at standardizing the text so as to minimize the level of *** efficacy of our proposed model is also empirically evaluated with diverse experimental configurations,so as to fine-tune the hyper-parameters and achieve superior ***,a series of experiments are conducted on diverse machine learning and deep learning models to compare the performance with our proposed *** also introduced the largest dataset on Roman Urdu,i.e.,Roman Urdu e-commerce dataset(RUECD),which contains 26K+user reviews annotated by the group of *** RUECD is challenging and the largest dataset available of Roman *** experiments show that the newly generated dataset is quite challenging and requires more attention from the peer researchers for Roman Urdu sentiment analysis.

关键词： Sentiment analysis Roman Urdu machine learning SVM

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Salvadora persica extract attenuates cyclophosphamide-induced hepatorenal damage by modulating oxidative stress, inflammation and apoptosis in rats

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Journal of Integrative Medicine 2022年第4期20卷 348-354页

作者： Talat Albukhari Bassem Refaat El-Sayed Bakr Sameh Baz Bodour rajab Hossam Gadalla Mohamed El-Boshy Department of Immunology and Hematology Faculty of MedicineUmm Al-Qura UniversityMakkah 21955Saudi Arabia Department of Laboratory Medicine Faculty of Applied Medical SciencesUmm Al-Qura UniversityMakkah 7607Saudi Arabia Clinical Nutrition Department Faculty of Applied Medical Sciences Umm Al-Qura UniversityMakkah 7607Soudi Arabia Clinical Pathology Department Faculty of Veterinary MedicineMansoura UniversityMansoura 35516Egypt

Objective: Salvadora persica(SP) is used as a food additive and is a common ingredient in folk *** study investigates the antioxidant, anti-inflammatory, and beneficial effects of SP against cyclophosphamide(CYP) toxicity in ***: In a 10-day study, 32 male rats were equally allocated into 4 groups(8 rats/group) as follows:the normal control(NC group), normal rats that only received oral aqueous extract of SP(100 mg/[kg·d];SP group), animals treated with intraperitoneal CYP injections(30 mg/[kg·d];CYP group), and the CYP + SP group that concurrently received CYP with SP aqueous extract. Serum samples were collected to measure the liver and renal biochemical profiles, as well as antioxidant and oxidative stress markers and the concentrations of interleukin-1β(IL-1β), IL-6, IL-10, tumor necrosis factor-a(TNF-a), nuclear factor-κB(NF-κB) and adenosine 5’-monophosphate-activated protein kinase(AMPK). Hepatic and renal tissues were also harvested for histopathology and to measure apoptosis using the terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling technique, alongside tissue levels of oxidative stress ***: Liver enzymes, total bilirubin, creatinine and urea, as well as serum IL-1β, IL-6, TNF-a and NF-κB increased significantly, whilst total protein, albumin, calcium, IL-10 and AMPK declined in serum of the CYP group relative to the NC group. The hepatorenal concentrations of glutathione, glutathione peroxidase and catalase declined markedly in the CYP group, whereas malondialdehyde, protein adducts, and apoptosis index increased compared with the NC group. By contrast, the hepatorenal biochemistry and apoptosis index of the SP group were comparable to the NC group. Interestingly, the CYP + SP group had significant improvements in the liver and renal biochemical parameters, enhanced anti-oxidative and anti-inflammatory effects, and marked declines in hepatic and renal apoptosis relative to the CYP group. Moreover, all mon

关键词： Cyclophosphamide Salvadora persica Cytokine NF-κB AMP-activated protein kinases Antioxidants Anti-inflammatory agents

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Evidence-based practice profiles of nurses: a transcultural study

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Frontiers of Nursing 2022年第1期9卷 29-35页

作者： Reza Negarandeh rajab Nazari Frank Kiwanuka Waliu Jawaula Salisu Shah Jahan Shayan Nursing and Midwifery Care Research Center School of Nursing and MidwiferyTehran University of Medical SciencesTehranTehran ***Iran Department of Fundamental of Nursing School of Nursing and MidwiferyKabul University of Medical SciencesKabulKabul 1006Afghanistan School of Nursing and Midwifery Tehran University of Medical SciencesInternational CampusTehranTehran ***Iran

Objective: To compare(i) the evidence-based practice(EBP) profiles and(ii) socio-demographic characteristics of nurses in 4 selected low-middle income countries(LMICs).Methods: A cross-sectional survey was conducted among 677 nurses from 4 hospitals in 4 countries(Afghanistan, Ghana, Iran, and Uganda).Results: The findings revealed that there are significant differences between the 3 EBP subscales(that is, practice/use, attitude, and knowledge/skill) across the 4 countries(P < 0.05). No significant EBP differences were identified across age groups and gender in the subscales of practice, knowledge, and attitude. Practice and knowledge subscales were significantly associated with working schedules(that is, par t-time and full-time)(P < 0.05). Analyses also revealed significant differences between attitude and knowledge subscales and working experience(P < 0.05).Conclusions: Nurses in the 4 countries have moderate practice, attitude, and knowledge/skil s of EBP. Nurses in LMICs require continuous professional development programs and suppor t to enhance their practice and knowledge regarding EBP in clinical settings.

关键词： evidence-based practice nursing transcultural

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