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An Optimized algorithm for CR-MIMO Wireless Networks

Computers, Materials & Continua 2022年第4期71卷 697-715页

作者： Imran Khan Fahd N.al-Wesabi Marwa Obayya Anwer Mustafa Hilal Manar ahmed Hamza mohammed Rizwanullah Fahad ahmed al-Zahrani Hirofumi Amano samih M.Mostafa Department of Electrical Engineering University of Engineering&TechnologyPeshawarPakistan Department of Computer Science King Khalid UniversityMuhayel AseerKSA Department of Biomedical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Computer Engineering Department Umm Al-Qura UniversityMecca24381Saudi Arabia Research Institute for Information Technology Kyushu UniversityFukuoka819-0395Japan Computer Science-Mathematics Department Faculty of ScienceSouth Valley UniversityQena83523Egypt

With the rapid development of wireless communication technology,the spectrum resources are increasingly strained which needs optimal *** radio(CR)is one of the key technologies to solve this *** sensing not only includes the precise detection of the communication signal of the primary user(PU),but also the precise identification of its modulation type,which can then determine the a priori information such as the PU’service category,so as to use this information to make the cognitive user(CU)aware to discover and use the idle spectrum more effectively,and improve the spectrum *** sensing is the primary feature and core part of *** sensing algorithms includes energy detection,cyclostationary feature detection,matched filter detection,and so *** energy detection algorithm has a simple structure and does not require prior knowledge of the PU transmitter signal,but it is easily affected by noise and the threshold is not easy to *** combination of multiple-input multiple-output(MIMO)with CR improves the spectral efficiency and multipath fading *** best utilize the PU spectrum while minimizing the overall transmit power,an iterative technique based on semidefinite programming(SDP)and minimum mean squared error(MMSE)is ***,this article proposed a new method for max-min fairness *** compared to existing algorithms,the simulation results show that the proposed algorithms perform better in terms of total transmitted power and signal-tointerference plus noise ratio(SINR).Furthermore,the proposed algorithm effectively improved the system performance in terms of number of iterations,interference temperature threshold and balance SINR level which makes it superior over the conventional schemes.

关键词： Cognitive radio spectrum utilization bandwidth primary user

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Protective effect of naringenin on acetic acid-induced ulcerative colitis in rats

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World Journal of Gastroenterology 2013年第34期19卷 5633-5644页

作者： Salim S al-Rejaie Hatem M Abuohashish Maher M al-Enazi Abdullah H al-Assaf Mihir Y Parmar mohammed M ahmed Department of Pharmacology andToxicology College of PharmacyKing Saud University Department of Medical Laboratory Sciences College of Applied Medical SciencesSalman bin Abdulaziz University Department of Science and Nutrition College of Food and Agricultural SciencesKing Saud University

AIM:To evaluate the ameliorative effect of naringenin(NG)during ulcerative colitis(UC)in ***:Rats were treated with three different doses(25,50 and 100 mg/kg per day)of NG and a single dose of mesalazine(MES,300 mg/kg per day)for seven days prior to ulcerative colitis induction by4%acetic acid(AA).Twenty four hours after AA rectal administration,animals were scarified and the colonic tissues were *** mucus content was estimated using alcian blue dye binding *** colon tissues,levels of total glutathione sulphadryls(T-GSH),non-protein sulphadryls(NP-SH)and thiobarbituric acid reactive substances(TBARS)were *** activities of the antioxidant enzymes,catalase(CAT)and superoxide dismutase(SOD)were *** of nucleic acids(DNA and RNA)and total protein were also estimated in colon *** levels of tumor necrosis factor-(TNF-),interleukin-1(IL-1),interleukin-6(IL-6),prostaglandin E2(PGE2)and nitric oxide(NO)were *** cross section of colitis tissue the histopathological changes were ***:Colonic mucus content was decreased in AA compared to controls(587.09±65.59 mg/kg vs941.78±68.41 mg/kg,P<0.001).AA administration markedly reduced T-GSH(5.25±0.37 nmol/L vs 3.04±0.24 nmol/L,P<0.01),NP-SH(3.16±0.04 nmol/L vs 2.16±0.30 nmol/L,P<0.01),CAT(6.77±0.40 U/mg vs 3.04±0.2 U/mg,P<0.01)and SOD(3.10±0.11U/mg vs 1.77±0.18 U/mg,P<0.01)while TBARS,TNF-,IL-1,IL-6,PGE2 and NO levels(15.09±3.84nmol/L vs 59.90±16.34 nmol/L,P<0.01;113.56±1.91 pg/mg vs 134.24±4.77 pg/mg,P<0.01;209.20±36.38 pg/mg vs 422.19±31.47 pg/mg,P<0.01;250.83±25.09 pg/mg vs 638.58±115.9 pg/mg,P<0.01;248.19±36.98 pg/mg vs 541.74±58.34 pg/mg,P<0.01 and 81.26±2.98 mmol/g vs 101.90±10.73 mmol/g,P<0.001)were increased in colon of rats with UC compared controls *** supplementation,significantly and dose dependently increased the colonic mucus *** elevated TBARS levels were significantly decreased(39.35±5.86nmol/L,P<0

关键词： Naringenin Ulcerative colitis Inflammatory bowel disease Oxidative stress

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Intelligent Deep Learning Based Automated Fish Detection Model for UWSN

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Computers, Materials & Continua 2022年第3期70卷 5871-5887页

作者： Mesfer al Duhayyim Haya Mesfer alshahrani Fahd Nal-Wesabi mohammed alamgeer Anwer Mustafa Hilal Manar ahmed Hamza Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia&Faculty of Computer and ITSana’a UniversitySana’aYemen Department of Information Systems King Khalid UniversityMuhayel AseerSaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

An exponential growth in advanced technologies has resulted in the exploration of Ocean *** has paved the way for new opportunities that can address questions relevant to diversity,uniqueness,and difficulty of marine *** Wireless Sensor Networks(UWSNs)are widely used to leverage such opportunities while these networks include a set of vehicles and sensors to monitor the environmental *** this scenario,it is fascinating to design an automated fish detection technique with the help of underwater videos and computer vision techniques so as to estimate and monitor fish biomass in water *** models have been developed earlier for fish ***,they lack robustness to accommodate considerable differences in scenes owing to poor luminosity,fish orientation,structure of seabed,aquatic plantmovement in the background and distinctive shapes and texture of fishes from different *** this motivation,the current research article introduces an Intelligent Deep Learning based Automated Fish Detection model for UWSN,named IDLAFD-UWSN *** presented IDLAFD-UWSN model aims at automatic detection of fishes from underwater videos,particularly in blurred and crowded ***-UWSN model makes use of Mask Region Convolutional Neural Network(Mask RCNN)with Capsule Network as a baseline model for fish ***,in order to train Mask RCNN,background subtraction process using GaussianMixtureModel(GMM)model is *** model makes use of motion details of fishes in video which consequently integrates the outcome with actual image for the generation of fish-dependent candidate ***,Wavelet Kernel Extreme Learning Machine(WKELM)model is utilized as a classifier *** performance of the proposed IDLAFD-UWSN model was tested against benchmark underwater video dataset and the experimental results achieved by IDLAFD-UWSN model were promising in comparison with other state-of-the-art methods under differe

关键词： Aquaculture background subtraction deep learning fish detection marine surveillance underwater sensor networks

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Deep Learning and Holt-Trend algorithms for Predicting Covid-19 Pandemic

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Computers, Materials & Continua 2021年第5期67卷 2141-2160页

作者： Theyazn H.H.aldhyani Melfi alrasheed Mosleh Hmoud al-Adaileh ahmed Abdullah alqarni mohammed Y.alzahrani ahmed H.alahmadi Community College of Abqaiq King Faisal UniversityAl HofufSaudi Arabia Department of Quantitative Methods School of BusinessKing Faisal UniversityAl HofufSaudi Arabia Deanship of E-Learning and Distance Education King Faisal UniversityAl HofufSaudi Arabia Department of Computer Sciences and Information Technology Albaha UniversityAl BahahSaudi Arabia Department of Computer Science and Information Taibah UniversityMadinahKingdom of Saudi Arabia

The Covid-19 epidemic poses a serious public health threat to the world,where people with little or no pre-existing human immunity can be more vulnerable to its ***,developing surveillance systems for predicting the Covid-19 pandemic at an early stage could save millions of *** this study,a deep learning algorithm and a Holt-trend model are proposed to predict the *** Long-Short Term Memory(LSTM)and Holttrend algorithms were applied to predict confirmed numbers and death *** real time data used has been collected from theWorld Health Organization(WHO).In the proposed research,we have considered three countries to test the proposed model,namely Saudi Arabia,Spain and *** results suggest that the LSTM models show better performance in predicting the cases of coronavirus *** measure performance Mean squared Error(MSE),Root Mean Squared Error(RMSE),Mean error and correlation are employed to estimate the results of the proposed *** empirical results of the LSTM,using the correlation metrics,are 99.94%,99.94%and 99.91%in predicting the number of confirmed cases in the three *** far as the results of the LSTM model in predicting the number of death of Covid-19,they are 99.86%,98.876%and 99.16%with respect to Saudi Arabia,Italy and Spain ***,the experiment’s results of the Holt-Trend model in predicting the number of confirmed cases of Covid-19,using the correlation metrics,are 99.06%,99.96%and 99.94%,whereas the results of the Holt-Trend model in predicting the number of death cases are 99.80%,99.96%and 99.94%with respect to the Saudi Arabia,Italy and Spain *** empirical results indicate the efficient performance of the presented model in predicting the number of confirmed and death cases of Covid-19 in these *** findings provide better insights regarding the future of Covid-19 this pandemic in *** results were obtained by applying time series models,which

关键词： Deep learning algorithm holt-trend prediction Covid-19 machine learning

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Consensus statement on the epidemiology,diagnosis,prevention,and management of cow's milk protein allergy in the Middle East:a modified Delphi-based study

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World Journal of Pediatrics 2021年第6期17卷 576-589页

作者： Moustafa A.El-Hodhod Mortada H.F.El-Shabrawi ahmed AIBadi ahmed Hussein AM almehaidib Basil Nasrallah Ebtsam mohammed AIBassam Hala El Feghali Hasan M.Isa Khaled al Saraf Maroun Sokhn Mehdi Adeli Najwa mohammed Mousa al-Sawi Pierre Hage Suleiman al-Hammadi Department of Pediatrics Faculty of MedicineAin Shams UniversityCairoEgypt Faculty of Medicine October 6 UniversityGizaEgypt Faculty of Medicine Cairo UniversityCairoEgypt International Pediatric Association(IPA) MarengoUSA International Society of Tropical Pediatrics(ISTP) ManilaPhilippines DRC Hospital MuscatOman al Amiri and al Adan Hospitals KuwaitKuwait Pediatric Gastroenterology Department of PediatricsKing Faisal Specialist Hospital and Research Center RiyadhRiyadhSaudi Arabia American Hospital Dubai DubaiUnited Arab Emirates Nutrition Service Department King Faisal Specialist and Research Center RiyadhRiyadhSaudi Arabia CHU Notre Dame de Secours ByblosLebanon Pediatric Department Salmaniya Medical ComplexManamaBahrain Pediatric department Arabian Gulf UniversityManamaBahrain Pediatrics Department Dar Al Shifa HospitalKuwaitKuwait Pediatric Gastroenterology Hepatologyand Nutrition DepartmentSaint George University Medical CenterUniversity of BalamandBeirutLebanon Sidra Medicine DohaQatar Department of Pediatrics Doctor Sulaiman Alhabib Medical GroupAlrryan BranchRiyadhSaudi Arabia Pediatric Pulmonology and allergology University of BalamandBeirutLebanon College of Medicine Mohanuned Bin Rashid University of Medicine and Health SciencesBuilding 14505055 DubaiUnited Arab Emirates

Background This study aimed to develop an expert consensus regarding the epidemiology,diagnosis,and management of cow’s milk protein allergy(CMPA)in the Middle *** A three-step modified Delphi method was utilized to develop the *** specialized pediatricians participated in the development of this *** statement was considered a consensus if it achieved an agreement level of>80%.Results The experts agreed that the double-blind placebo-controlled oral challenge test(OCT)should be performed for 2-A weeks using an amino acid formula(AAF)in formula-fed infants or children with suspected ***-fed infants with confirmed CMPA should be offered a therapeutic *** panel stated that an extensively hydrolyzed formula(eHF)is indicated in the absence of red flag *** the same time,the AAF is offered for infants with red flag signs,such as severe anaphylactic *** panel agreed that infants on an eHF with resolved symptoms within 2-4 weeks should continue the eHF with particular attention to the growth and nutritional *** the other hand,an AAF should be considered for infants with persistent symptoms;the AAF should be continued if the symptoms resolve within 2-4 weeks,with particular attention to the growth and nutritional *** cases with no symptomatic improvements after the introduction of an *** measures should be *** panel developed a management algorithm,which achieved an agreement level of 90.9%.Conclusion This consensus document combined the best available evidence and clinical experience to optimize the management of CMPA in the Middle East.

关键词： Consensus Cow's milk protein allergy Infant formula Middle East Milk hypersensitivity

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Optimized Stacked Autoencoder for IoT Enabled Financial Crisis Prediction Model

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Computers, Materials & Continua 2022年第4期71卷 1079-1094页

作者： Mesfer al Duhayyim Hadeel alsolai Fahd N.al-Wesabi Nadhem Nemri Hany Mahgoub Anwer Mustafa Hilal Manar ahmed Hamza mohammed Rizwanullah Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversitySaudi Arabia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversitySaudi Arabia Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversitySana’aYemen Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia

Recently,Financial Technology(FinTech)has received more attention among financial sectors and researchers to derive effective solutions for any financial institution or *** crisis prediction(FCP)is an essential topic in business sector that finds it useful to identify the financial condition of a financial *** the same time,the development of the internet of things(IoT)has altered the mode of human interaction with the physical *** IoT can be combined with the FCP model to examine the financial data from the users and perform decision making *** paper presents a novel multi-objective squirrel search optimization algorithm with stacked autoencoder(MOSSA-SAE)model for FCP in IoT *** MOSSA-SAE model encompasses different subprocesses namely preprocessing,class imbalance handling,parameter tuning,and ***,the MOSSA-SAE model allows the IoT devices such as smartphones,laptops,etc.,to collect the financial details of the users which are then transmitted to the cloud for further *** addition,SMOTE technique is employed to handle class imbalance *** goal of MOSSA in SMOTE is to determine the oversampling rate and area of nearest neighbors of ***,SAE model is utilized as a classification technique to determine the class label of the financial *** the same time,the MOSSA is applied to appropriately select the‘weights’and‘bias’values of the *** extensive experimental validation process is performed on the benchmark financial dataset and the results are examined under distinct *** experimental values ensured the superior performance of the MOSSA-SAE model on the applied dataset.

关键词： Financial data financial crisis prediction class imbalance problem internet of things stacked autoencoder

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Flow Injection Chemiluminescence Method for Nalbuphine Hydrochloride in Pharmaceutical Formulations Using Tris(2,2′-bipyridyl)ruthenium(II)Chloride-diperiodatocuprate(III)Reaction

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Chemical Research in Chinese Universities 2021年第3期37卷 629-638页

作者： ahmed Khan MUHAMMAD Asghar mohammed Yaqoob MASOOD ahmed Siddiqui SAMAR ali Department of Chemistry University of BalochistanSariab RoadQuetta87300Pakistan

A sensitive and selective method employing chemiluminescence(CL)coupled with flow injection(FI)is reported for nalbuphine hydrochloride(Nal)assay in pharmaceutical *** enhancement effect of Nal on the CL reaction between tris(2,2′-bipyridyl)ruthenium(II)chloride-diperiodatocuprate(III){Ru[(bpy)_(3)]^(2+)-Cu(III)complex}in acidic medium is used as analytical *** optimal conditions of the CL reaction were sulfuric acid 1.0×10^(−3) mol/L,Ru[(bpy)s]2+7.5×10^(−5) mol/L,Cu(III)/Ag(III)complexes 4.0×10^(−4)/5.0×10^(−4) mol/L,sample loop volume of 120µL and flow rate of 2.5 mL/*** sensitivities of the method in terms of detection(S/N=3)and quantification(S/N=10)limits are 5×10^(−4) and 0.001 ppm(1 ppm=1 mg/L),*** linear response of the instrument in the form of CL intensity with respect to Nal concentration is over the range 0.001-15.0 ppm(R^(2)=0.9999)with relative standard deviation from 0.8%to 3.2%and injection throughput of 120 injection/*** applications of the method include the quantitative analysis of Nal in pharmaceutical injection *** and the average results of the proposed method are not significantly different from the results of a reported method by applying F-and paired student *** most likely CL reaction mechanism is written in accordance with spectrophotometric and CL studies.

关键词： Ru[(bpy)_(3)]^(2+) Cu(III)/Ag(III)complex Chemiluminescence Flow injection analysis Nalbuphine hydrochloride Pharmaceutical

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Diagnosing Breast Cancer Accurately Based on Weighting of HeterogeneousClassification Sub-Models

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Computer Systems Science & Engineering 2022年第9期42卷 1257-1272页

作者： Majdy Mohamed Eltayeb Eltahir Tarig mohammed ahmed Department of Information Systems College of Science&Arts at MahayilKing Khalid UniversityMuhayel Aseer62529Kingdom of Saudi Arabia Department of Information Technology Faculty of Computing and Information TechnologyKing Abdul-Aziz UniversityJeddah21589Kingdom of Saudi Arabia Department of Computer Sciences Faculty of Mathematical Sciences and InformaticsUniversity of KhartoumKhartoum11115Sudan

In developed and developing countries, breast cancer is one of the leading forms of cancer affecting women alike. As a consequence of growing lifeexpectancy, increasing urbanization and embracing Western lifestyles, the highprevalence of this cancer is noted in the developed world. This paper aims todevelop a novel model that diagnoses Breast Cancer by using heterogeneous datasets. The model can work as a strong decision support system to help doctors tomake the right decision in diagnosing breast cancer patients. The proposed modelis based on three datasets to develop three sub-models. Each sub-model worksindependently. The final diagnosis decision is taken by the three sub-models independently. The power of the model comes from the diversity checks of patientsand this reduces the risk of wrong diagnosing. The model has been developedby conducting intensive experiments. Several classification algorithms were usedto select the best one in each sub-model. As the final results, the sub-modelaccuracies were 72%, 74% and 97%.

关键词： Breast cancer data mining classification

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Effect of front guide nozzle shape on the flow characteristics in an augmentation channel of a direct drive turbine for wave power generation

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Science China(Technological Sciences) 2010年第1期53卷 46-51页

作者： Deepak PRASAD mohammed Asid ZULLAH mohammed Rafiuddin ahmed Young-Ho LEE Graduate School Korea Maritime University1 Dongsam-dong Youngdo-kuBusan606-791Republic of Korea Division of Mechanical Engineering University of the South PacificPrivate Mail BagLaucala CampusSuvaFiji Islands Division of Mechanical & Information Engineering Korea Maritime University1 Dongsam-dong Youngdo-kuBusan606-791Republic of Korea

There is an increasing interest in cross flow turbines(also known as Banki turbines) for small and low head applications because of their simple structure as well as low capital and maintenance *** present work aims at implementing the direct drive turbine(DDT) of cross flow type for wave power generation.A numerical wave tank was used to simulate the waves and after obtaining the desired wave properties;the augmentation channel plus the front guide nozzle and rear chamber were integrated to the numerical wave *** waves in the numerical wave tank were generated by a piston type wave maker which was located at the wave tank *** inlet which was modeled as a plate wall moved sinusoidally with the general function x = asinω *** augmentation channel consisted of a front nozzle,rear nozzle and an internal fluid region which represented the turbine *** front and rear nozzles were geometrically the *** different front guide nozzle configurations were studied:a standard guide nozzle which was originally attached to the augmentation channel and two other front guide nozzles of different *** purpose of this study is to observe how the front guide nozzle shape influences the flow downstream,mainly in the augmenta-tion channel,water power and the first stage energy *** analysis was performed using a commercial CFD code *** results of the flow in the augmentation channel for the three front guide nozzles are presented in this paper.

关键词： numerical wave tank wave power augmentation channel direct drive turbine water power

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Performance analysis of a wave energy converter using numerical simulation technique

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Science China(Technological Sciences) 2010年第1期53卷 13-18页

作者： mohammed Asid ZULLAH Deepak PRASAD mohammed Rafiuddin ahmed Young-Ho LEE Graduate School Korea Maritime University Dongsam-dong Youngdo-kuBusan 606-791Republic of Korea Division of Mechanical Engineering University of the South PacificPrivate Mail BagLaucala CampusSuvaFiji Islands Division of Mechanical & Information Engineering Korea Maritime UniversityDongsam-dong Youngdo-kuBusan 606-791Republic of Korea

A general purpose viscous flow solver Ansys CFX was used to study a Savonius type wave energy converter in a 3D numerical viscous wave *** paper presents the results of a computational fluid dynamics(CFD) analysis of the effect of blade configuration on the performance of two Savonius rotors for wave energy extraction.A piston-type wave generator was incorporated in the computational domain to generate the desired incident waves.A complete OWC system with a 3-bladed Savonius rotor was modeled in a three dimensional numerical wave tank and the hydrodynamic conversion efficiency was *** flow over the rotors was assumed to be two-dimensional(2D),viscous,turbulent and *** CFX code was used with a solver of the coupled conservation equations of mass,momentum and energy,with an implicit time scheme and with the adoption of the hexahedral mesh and the moving mesh techniques in areas of moving *** was modeled with the k-e *** results indicated that the developed models are suitable to analyze the water flows both in the chamber and in the *** the turbine,the numerical results of pressure and torque were compared for the two cases.

关键词： wave energy Ansys CFX code Savonius rotor numerical simulation torque efficiency

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