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Human-Animal Affective Robot Touch Classification Using Deep Neural Network

Computer Systems Science & Engineering 2021年第7期38卷 25-37页

作者： mohammed ibrahim ahmed al-mashhadani Theyazn H.H.aldhyani Mosleh Hmoud al-Adhaileh alwi M.Bamhdi mohammed Y.alzahrani Fawaz Waselallah alsaade Hasan alkahtani al-Iraqia University College of EducationComputer DepartmentBaghdadIraq Community College of Abqaiq King Faisal UniversityAl-AhsaSaudi Arabia Deanship of E-learning and Distance Education King Faisal UniversityAl-AhsaSaudi Arabia UMM al-Qura University College of ComputingMakkahSaudi Arabia Department of Computer Sciences and Information Technology Albaha UniversityAl BahaSaudi Arabia College of Computer Science and Information Technology King Faisal UniversityAl-AhsaSaudi Arabia

Touch gesture recognition is an important aspect in human-robot interaction,as it makes such interaction effective and *** novelty of this study is the development of a system that recognizes human-animal affective robot touch(HAART)using a deep learning *** proposed system was used for touch gesture recognition based on a dataset provided by the Recognition of the Touch Gestures Challenge *** dataset was tested with numerous subjects performing different HAART gestures;each touch was performed on a robotic animal covered by a pressure sensor skin.A convolutional neural network algorithm is proposed to implement the touch recognition system from row inputs of the sensor *** leave-one-subject-out cross-validation method was used to validate and evaluate the proposed system.A comparative analysis between the results of the proposed system and the state-of-the-art performance is *** show that the proposed system could recognize the gestures in almost real time(after acquiring the minimum number of frames).According to the results of the leave-one-subject-out cross-validation method,the proposed algorithm could achieve a classification accuracy of 83.2%.It was also superior compared with existing systems in terms of classification ratio,touch recognition time,and data preprocessing on the same ***,the proposed system can be used in a wide range of real applications,such as image recognition,natural language recognition,and video clip classification.

关键词： Touch gesture recognition touch gesture classification deep learning

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The k Nearest Neighbors Estimator of the M-Regression in Functional Statistics

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Computers, Materials & Continua 2020年第12期65卷 2049-2064页

作者： ahmed Bachir ibrahim Mufrah almanjahie mohammed Kadi Attouch Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Statistical Research and Studies Support Unit King Khalid UniversityAbha62529Saudi Arabia Djillali Liabes University Sidi Belabbes22000Algeria

It is well known that the nonparametric estimation of the regression function is highly sensitive to the presence of even a small proportion of outliers in the *** solve the problem of typical observations when the covariates of the nonparametric component are functional,the robust estimates for the regression parameter and regression operator are *** main propose of the paper is to consider data-driven methods of selecting the number of neighbors in order to make the proposed processes fully *** use thek Nearest Neighbors procedure(kNN)to construct the kernel estimator of the proposed robust *** some regularity conditions,we state consistency results for kNN functional estimators,which are uniform in the number of neighbors(UINN).Furthermore,a simulation study and an empirical application to a real data analysis of octane gasoline predictions are carried out to illustrate the higher predictive performances and the usefulness of the kNN approach.

关键词： Functional data analysis quantile regression kNN method uniform nearest neighbor(UNN)consistency functional nonparametric statistics almost complete convergence rate

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Fuzzy-HLSTM(Hierarchical Long Short-Term Memory)for Agricultural Based Information Mining

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Computers, Materials & Continua 2023年第2期74卷 2397-2413页

作者： ahmed Abdu alattab mohammed Eid ibrahim Reyazur Rashid Irshad Anwar ali Yahya Amin A.al-Awady Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajranSaudi Arabia Department of Computer Science College of Computer Science&Information SystemsNajran UniversityNajranSaudi Arabia Computer Skills Department Deanship of Preparatory YearNajran UniversityNajranSaudi Arabia

This research proposes a machine learning approach using fuzzy logic to build an information retrieval system for the next crop *** case-based reasoning systems,case representation is critical,and thus,researchers have thoroughly investigated textual,attribute-value pair,and ontological *** big databases result in slow case retrieval,this research suggests a fast case retrieval strategy based on an associated representation,so that,cases are interrelated in both either similar or dissimilar *** soon as a new case is recorded,it is compared to prior data to find a relative *** proposed method is worked on the number of cases and retrieval accuracy between the related case representation and conventional *** Long Short-Term Memory(HLSTM)is used to evaluate the efficiency,similarity of the models,and fuzzy rules are applied to predict the environmental condition and soil quality during a particular time of the *** on the results,the proposed approaches allows for rapid case retrieval with high accuracy.

关键词： Machine learning agriculture IoT HLSTM fuzzy rules

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Isolated antibody to hepatitis B core antigen in patients with chronic hepatitis C virus infection

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World Journal of Gastroenterology 2006年第27期12卷 4406-4410页

作者： ahmed Helmy mohammed ibrahim al-Sebayel Department of Liver Transplantation Hepatobiliary and Pancreatic SurgeryKing Faisal Specialist Hospital & Research CenterRiyadhSaudi Arabiaand also affiliated to Faculty of MedicineAssiut University HospitalAssiutEgypt Department of Liver Transplantation Hepatobiliary and Pancreatic SurgeryKing Faisal Specialist Hospital & Research CenterRiyadhSaudi Arabia

AIM： To evaluate the prevalence of isolated anti-HBc in patients with chronic hepatitis C virus （HCV） infection, and its relation to disease severity. METHODS： We screened all patients with chronic HCV infection referred to King Faisal Specialist Hospital and Research Center for hepatitis B surface antigen （HBsAg）, antibody to hepatitis B surface antigen （anti- HBs）, and anti-HBc. One hundred and sixty nine patients who tested negative for both HBsAg and anti-HBs were included in this study. RESULTS： Pathologically, 59 had biopsy-proven cirrhosis and 110 had chronic active hepatitis （CAH）. Of these 169 patients, 85 （50.3%） tested positive for anti-HBc. Patients with CAH had significantly higher prevalence of isolated anti-HBc than patients with cirrhosis, 71 （6d.5%） and 14 （23.7%） respectively （P 〈 0.001）. Twenty-five patients were tested for HBV DNA by qualitative PCR. The test was positive in 3 of them （12%; occult HBV infection）. CONCLUSION： Isolated anti-HBc alone is common in Saudi patients with chronic HCV infection, and is significantly more common in those with CAH than those with cirrhosis. Therefore, a screening strategy that only tests for HBsAg and anti-HBs in these patients will miss a large number of individuals with isolated anti-HBc, who may be potentially infectious.

关键词： Cirrhosis Chronic hepatitis Dual infection Co-infection Hepatitis B screening Super-infection

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Distinctive clinical and laboratory features of COVID-19 and H1N1 influenza infections among hospitalized pediatric patients

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World Journal of Pediatrics 2021年第3期17卷 272-279页

作者： ali alsuheel Asseri Ayed A.Shati Saleh M.al-Qahtani ibrahim A.alzaydani ahmed A.al-Jarie mohammed J.alaliani Abdelwahid Saeed ali Department of Child Health College of MedicineKing Khalid UniversityAbhaSaudi Arabia Department of Pediatrics Abha Maternity and Children HospitalAbhaSaudi Arabia General Directorate of Health Affairs Infection Prevention and Control AdministrationAseer RegionMinistry of HealthAbhaSaudi Arabia Department of Microbiology and Clinical Parasitology College of MedicineKing Khalid UniversityAbhaSaudi Arabia

Background It had been documented in many studies that pediatric coronavirus disease 2019(COVID-19)is characterized by low infectivity rates,low mortalities,and benign disease *** the other hand,influenza type A viruses are recognized to cause severe and fatal infections in children populations *** study is aimed to compare the clinical and laboratory characteristics of COVID-19 and H1N1 influenza *** A retrospective study comprising 107 children hospitalized at Abha Maternity and Children Hospital,Southern region of Saudi Arabia,with laboratory-confirmed COVID-19 and H1N1 influenza infections was carried out.A complete follow-up for all patients from the hospital admission until discharge or death was *** clinical data and laboratory parameters for these patients were collected from the medical records of the *** Out of the total enrolled patients,73(68.2%)were diagnosed with COVID-19,and 34(31.8%)were diagnosed with H1N1 *** median age is 12 months for COVID-19 patients and 36 months for influenza patients.A relatively higher number of patients with influenza had a fever and respiratory symptoms than COVID-19 *** contrast,gastrointestinal symptoms were observed in a higher number of COVID-19 patients than in influenza patients.A statistically significant increase in white cell counts is noted in COVID-19 but not in influenza patients(Palization between COVID-19 and influenza ***,the total intensive care unit length of stay was longer for influenza compared to COVID-19 *** A considerable number of children infected with COVID-19 and H1N1 influenza were noted and reported in this *** were no significant variations in the severity of the symptomatology and laboratory findings between the two groups of *** differences between these patients in some hospitalization facto

关键词： Children Coronavirus disease 2019 H1N1 influenza.Laboratory indices Symptoms

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High Gain of UWB Planar Antenna Utilising FSS Reflector for UWB Applications

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Computers, Materials & Continua 2022年第1期70卷 1419-1436页

作者： ahmed Jamal Abdullah al-Gburi Imran Bin Mohd ibrahim Zahriladha Zakaria Badrul Hisham Ahmad Noor Azwan Bin Shairi mohammed Yousif Zeain Department of Electronics and Computer Engineering(FKEKK) Center for Telecommunication Research and Innovation(CeTRI)Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaccaMalaysia

In this paper,a high gain and directional coplanarwaveguide(CPW)-fed ultra-wideband(UWB)planar antenna with a new frequency selective surface(FSS)unit cells design is proposed for UWB *** proposed UWB antenna was designed based on the Mercedes artistic-shaped planar(MAP)*** antenna consisted of a circular ring embedded with three straight legs for antenna impedance bandwidth *** modelled FSS used the integration of a two parallel conductive metallic patch with a circular loop *** FSS provided a UWB stopband filter response covering a bandwidth of 10.5 GHz,for frequencies from 2.2 to 12.7 *** proposed FSS had a compact physical dimension of 5 mm×5 mm×1.6 mm,with a printed array of 19×19 FSS unit *** FSS unit cells were printed on only one side of the dielectric FR4 substrate and placed as a sandwich between the antenna and the reflector ground *** equivalent circuit configuration(ECC)was used to verify the FSS unit cell structure’s *** simulated results indicated that the UWB MAP antenna and FSS reflector provided a fractional bandwidth of 136%and a high gain of 11.5 dB at 8.5 GHz with an acceptable radiation efficiency of 89%.Furthermore,the gain was improved across the operating band and kept between 8.3 and 11.5 *** proposed antenna was in good agreement between theoretical and experimental results and offered a wide enough bandwidth for UWB and vehicle applications.

关键词： UWB MAP antenna stable gain FSS reflector ECC stopband response reflection phase

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Ultrasound-guided transrectal extended prostate biopsy:a prospective study

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Asian Journal of Andrology 2005年第2期7卷 165-169,页

作者： mohammed ahmed al-Ghazo ibrahim Fathi Ghalayini Ismail ibrahim Matalka Faculty of Medicine King Abdullah University HospitalJordan University of Science and Technology (JUST)Irbid 22110Jordan

Aim:To evaluate the diagnostic value of the 10 systematic transrectal ultrasound-guided (TRUS) prostate biopsy compared with the sextant biopsy technique for patients with suspected prostate ***:One hundred and fifty-two patients with suspected prostate cancer were included in the *** were entered in the study because they presented with high levels of prostate specific antigen (PSA) (over 4 ng/mL) and/or had undergone an abnormal digital rectal examination (DRE).In addition to sextant prostate biopsy cores,four more biopsies were obtained from the lateral peripheral zone with additional cores from each suspicious area revealed by transrectal ***,lateral peripheral zone and suspicious area biopsy cores were submitted separately to the patho- logical ***:Cancer detection rates were 27.6 % (42/152) and 19.7 % (30/152) for the 10-core and sextant core biopsy protocols,*** the lateral peripheral zone (PZ) to the sextant prostate biopsy showed a 28.6 % (12/42) increase in the cancer detection rate in patients with positive prostate cancer (Palone,without increase in the *** therefore recommend the 10-core biopsy protocol to be the preferred method for early detection of prostate cancer.

关键词： ultrasonography prostate biopsy diagnosis

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Modified Harris Hawks Optimization Based Test Case Prioritization for Software Testing

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Computers, Materials & Continua 2022年第7期72卷 1951-1965页

作者： Manar ahmed Hamza Abdelzahir Abdelmaboud Souad Larabi-Marie-Sainte Haya Mesfer alshahrani Mesfer al Duhayyim Hamza Awad ibrahim mohammed Rizwanullah Ishfaq Yaseen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16278Saudi Arabia Department of Information Systems College of Science and ArtsKing Khalid UniversityMahayil Asir62529Saudi Arabia Department of Computer Science College of Computer and Information SciencesPrince Sultan UniversityP.O.Box No.66833Rafha StreetRiyadh11586Saudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz University16278Saudi Arabia College of Computer at al-Gunfudah Umm Al-Qura UniversityAl-Gunfudah24382Saudi Arabia

Generally,software testing is considered as a proficient technique to achieve improvement in quality and reliability of the ***,the quality of test cases has a considerable influence on fault revealing capability of software testing *** Case Prioritization(TCP)remains a challenging issue since prioritizing test cases is unsatisfactory in terms of Average Percentage of Faults Detected(APFD)and time spent upon execution *** ismainly intended to design a collection of test cases that can accomplish early optimization using preferred *** studies conducted earlier focused on prioritizing the available test cases in accelerating fault detection rate during software *** this aspect,the current study designs aModified Harris Hawks Optimization based TCP(MHHO-TCP)technique for software *** aim of the proposed MHHO-TCP technique is to maximize APFD and minimize the overall execution *** addition,MHHO algorithm is designed to boost the exploration and exploitation abilities of conventional HHO *** order to validate the enhanced efficiency of MHHO-TCP technique,a wide range of simulations was conducted on different benchmark programs and the results were examined under several *** experimental outcomes highlight the improved efficiency of MHHO-TCP technique over recent approaches under different measures.

关键词： Software testing harris hawks optimization test case prioritization apfd execution time metaheuristics

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Acute kidney injury due to bilateral malignant ureteral obstruction:Is there an optimal mode of drainage?

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World Journal of Nephrology 2022年第6期11卷 146-163页

作者： Rabea ahmed Gadelkareem ahmed Mahmoud Abdelraouf ahmed mohammed El-Taher Abdelfattah ibrahim ahmed Department of Urology Assiut Urology and Nephrology HospitalFaculty of MedicineAssiut UniversityAssiut 71515AssiutEgypt

There is a well-known relationship between malignancy and impairment of kidney functions,either in the form of acute kidney injury or chronic kidney *** the former,however,bilateral malignant ureteral obstruction is a surgically correctable factor of this complex *** warrants urgent drainage of the kidneys in emergency ***,there are multiple controversies and debates about the optimal mode of drainage of the bilaterally obstructed kidneys in these *** review addressed most of the concerns and provided a comprehensive presentation of this topic from the recent ***,we provided different perspectives on the management of the bilateral obstructed kidneys due to *** the frequent trials for improving the success rates and functions of ureteral stents,placement of a percutaneous nephrostomy tube remains the most recommended tool of drainage due to bilateral ureteral obstruction,especially in patients with advanced ***,the disturbance of the quality of life of those patients remains a major unresolved *** the unfavorable prognostic potential of the underlying malignancy and the various risk stratification models that have been proposed,the response of the kidney to initial drainage can be anticipated and evaluated by multiple renal prognostic factors,including increased urine output,serum creatinine trajectory,and time-to-nadir serum creatinine after drainage.

关键词： Acute kidney injury Kidney Malignancy Percutaneous nephrostomy Ureteral obstruction Ureter

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Federated Learning with Blockchain Assisted Image Classification for Clustered UAV Networks

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Computers, Materials & Continua 2022年第7期72卷 1195-1212页

作者： ibrahim Abunadi Maha M.althobaiti Fahd N.al-Wesabi Anwer Mustafa Hilal Mohammad Medani Manar ahmed Hamza mohammed Rizwanullah Abu Serwar Zamani Department of Information Systems Prince Sultan UniversityRafha StreetRiyadh11586Saudi Arabia Department of Computer Science College of Computing and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’a61101Yemen Department of Computer and Self Development Prince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Information Systems College of Science&Art at MahayilKing Khalid UniversityMuhayel Aseer62529Saudi Arabia

The evolving“Industry 4.0”domain encompasses a collection of future industrial developments with cyber-physical systems(CPS),Internet of things(IoT),big data,cloud computing,***,the industrial Internet of things(IIoT)directs data from systems for monitoring and controlling the physical world to the data processing system.A major novelty of the IIoT is the unmanned aerial vehicles(UAVs),which are treated as an efficient remote sensing technique to gather data from large *** are commonly employed in the industrial sector to solve several issues and help decision *** the strict regulations leading to data privacy possibly hinder data sharing across autonomous *** learning(FL)becomes a recent advancement of machine learning(ML)which aims to protect user *** this aspect,this study designs federated learning with blockchain assisted image classification model for clustered UAV networks(FLBIC-CUAV)on IIoT *** proposed FLBIC-CUAV technique involves three major processes namely clustering,blockchain enabled secure communication and FL based image *** UAV cluster construction process,beetle swarm optimization(BSO)algorithm with three input parameters is designed to cluster the UAVs for effective *** addition,blockchain enabled secure data transmission process take place to transmit the data from UAVs to cloud ***,the cloud server uses an FL with Residual Network model to carry out the image classification process.A wide range of simulation analyses takes place for ensuring the betterment of the FLBIC-CUAV *** experimental outcomes portrayed the betterment of the FLBIC-CUAV approach over the recent state of art methods.

关键词： UAV networks clustering secure communication blockchain federated learning image classification

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