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Mathematical Morphology View of Topological Rough Sets and Its Applications

Computers, Materials & Continua 2023年第3期74卷 6893-6908页

作者： ibrahim Noaman Abd El Fattah El Atik Tamer Medhat Manal E.ali Department of Mathematics Faculty of Science and Arts in Al-MandaqAl-Baha UniversityKingdom of Saudi Arabia Department of Mathematics Faculty of ScienceTanta UniversityTantaEgypt Department of Electrical Engineering Faculty of EngineeringKafrelsheikh UniversityKafrelsheikh33516Egypt Department of Physics and Engineering Mathematics Faculty of EngineeringKafrelsheikh UniversityKafrelsheikh33516Egypt

This article focuses on the relationship between mathematical morphology operations and rough sets,mainly based on the context of image retrieval and the basic image correspondence *** morphological procedures and set approximations in rough set theory have some clear *** initiatives have been made to connect rough sets with mathematical *** significant publications have been written in this *** attempt to show a direct connection between mathematical morphology and rough sets through relations,a pair of dual operations,and neighborhood *** sets are used to suggest a strategy to approximatemathematicalmorphology within the general paradigm of soft computing.A single framework is defined using a different technique that incorporates the key ideas of both rough sets and mathematical *** paper examines rough set theory from the viewpoint of mathematical morphology to derive rough forms of themorphological structures of dilation,erosion,opening,and *** newly defined structures are applied to develop algorithm for the differential analysis of chest X-ray images from a COVID-19 patient with acute pneumonia and a health *** algorithm and rough morphological operations show promise for the delineation of lung occlusion in COVID-19 patients from chest *** foundations of mathematical morphology are covered in this *** that,rough set theory ideas are taken into account,and their connections are ***,a suggested image retrieval application of the concepts from these two fields is provided.

关键词： Mathematical morphology rough set theory topological spaces COVID-19

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Effect of speed hump characteristics on pavement condition

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Journal of Traffic and Transportation Engineering(English Edition) 2017年第1期4卷 103-110页

作者： Talaat ali Abdel-Wahed ibrahim Hassan Hashim Department of Civil Engineering Faculty of EngineeringSohag University Department of Civil Engineering Faculty of EngineeringMenoufia University

Speed humps are the most common type of traffic calming devices due to their low cost and easy installation. However, in many Egyptian roads, considerable number of these humps is randomly placed without proper engineering studies and justifications. Deteri- oration of pavement condition is observed near these humps. This paper presents a case study applied to collect and analyze visual inspection data for the reason of evaluating the impact of speed humps on pavement condition on intercity rural roads. The paper used 52 speed humps located in an intercity two-lane, two-way road that connects two cities, Tahta and Gerga, in Upper Egypt. The total length of this road is about 34 km. Pavement condition index （PCI）, in road sections, near speed humps in the two directions of travel were calculated from the visual inspection measurements. The characteristics of each speed hump （width, height, and distance from preceding hump） were measured. Using statistical analyses, the correlations between the pavement conditions and hump char- acteristics were examined. Regression analysis models were developed to represent the relationships between pavement conditions and hump characteristics. Generally, the re- sults proved that the pavement conditions are greatly influenced by the presence of speed humps and hump characteristics.

关键词： Speed hump Pavement condition Pavement condition index (PCI)Two-lane road Regression analysis

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Scalability of biomass-derived graphene derivative materials as viable anode electrode for a commercialized microbial fuel cell: A systematic review

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Chinese Journal of Chemical Engineering 2023年第3期55卷 277-292页

作者： Mustapha Omenesa Idris Claudia Guerrero-Barajas Hyun-Chul Kim Asim ali Yaqoob Mohamad Nasir Mohamad ibrahim School of Chemical Sciences Universiti Sains Malaysia11800 PenangMalaysia Department of Pure and Industrial Chemistry Kogi State UniversityP.M.B 1008 AnyigbaKogi StateNigeria Laboratorio de Biotecnologia Ambiental Departamento de BioprocesosUnidad Profesional Interdisciplinaria de BiotecnologiaInstituto Politecnico NacionalAv.Acueducto s/nCol.Barrio La Laguna Ticoman07340 Mexico CityMexico Research Institute for Advanced Industrial Technology College of Science and TechnologyKorea UniversitySejong 30019Republic of Korea

Microbial fuel cell(MFC) is an advanced bioelectrochemical technique that can utilize biomass materials in the process of simultaneously generating electricity and biodegrading or bio transforming toxic pollutants from wastewater. The overall performance of the system is largely dependent on the efficiency of the anode electrode to enhance electron transportation. Furthermore, the anode electrode has a significant impact on the overall cost of MFC setup. Hence, the need to explore research focused towards developing cost-effective material as anode in MFC. This material must also have favourable properties for electron transportation. Graphene oxide(GO) derivatives and its modification with nanomaterials have been identified as a viable anode material. Herein, we discussed an economically effective strategy for the synthesis of graphene derivatives from waste biomass materials and its subsequent fabrication into anode electrode for MFC applications. This review article offers a promising approach towards replacing commercial graphene materials with biomass-derived graphene derivatives in a view to achieve a sustainable and commercialized MFC.

关键词： Microbial fuel cell Biomass Anode fabrication Catalyst Design Cost-effective performance

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Engineered Hybrid Materials with Smart Surfaces for Effective Mitigation of Petroleum-Originated Pollutants

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Engineering 2021年第10期7卷 1492-1503页

作者： Nisar ali Muhammad Bilal Adnan Khan Farman ali Mohamad Nasir Mohamad ibrahim Xiaoyan Gao Shizhong Zhang Kun Hong Hafiz MNIqbal Key Laboratory for Palygorskite Science and Applied Technology of Jiangsu Province National and Local Joint Engineering Research Center for Deep Utilization Technology of Rock-salt ResourceFaculty of Chemical EngineeringHuaiyin Institute of TechnologyHuaian 223003China School of Life Science and Food Engineering Huaiyin Institute of TechnologyHuaian 223003China Institute of Chemical Sciences University of PeshawarPeshawar 25120Pakistan Department of Chemistry Hazara UniversityMansehra 21300Pakistan School of Engineering and Sciences School of Chemical SciencesUniversiti Sains MalaysiaPenang 11800Malaysia School of Engineering and Sciences Tecnologico de MonterreyMonterrey 64849Mexico

The generation and controlled or uncontrolled release of hydrocarbon-contaminated industrial wastewater effluents to water matrices are a major environmental *** contaminated water comes to surface in the form of stable emulsions,which sometimes require different techniques to mitigate or separate *** the crude emulsions and hydrocarbon-contaminated wastewater effluents contain suspended solids,oil/grease,organic matter,toxic elements,salts,and recalcitrant *** treatment of crude oil emulsions has been one of the most important challenges due to the complex nature and the substantial amount of generated ***,the recovery of oil from waste will help meet the increasing demand for oil and its *** this context,functional nanostructured materials with smart surfaces and switchable wettability properties have gained increasing attention because of their excellent performance in the separation of oil–water *** improvements in the design,composition,morphology,and fine-tuning of polymeric nanostructured materials have resulted in enhanced demulsification ***,we reviewed the environmental impacts of crude oil emulsions and hydrocarbon-contaminated wastewater *** effective treatments by smart polymeric nanostructured materials with wettability properties have been stated with suitable *** fundamental mechanisms underpinning the efficient separation of oil–water emulsions are discussed with suitable examples along with the future perspectives of smart materials.

关键词： Emulsion Hydrocarbon-contamination Environment impacts Hybrid nanomaterials Oil-water separation Wastewater treatment

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Modeling CO_(2) Emission of Middle Eastern Countries Using Intelligent Methods

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Computers, Materials & Continua 2021年第12期69卷 3767-3781页

作者： Mamdouh El Haj Assad ibrahim Mahariq Zaher Al Barakeh Mahmoud Khasawneh Mohammad ali Amooie Sustainable and Renewable Energy Engineering Department University of SharjahPO Box 27272SharjahUAE College of Engineering and Technology American University of the Middle EastKuwait Department of Mechanical and Industrial Engineering Louisiana State UniversityUSA

CO_(2) emission is considerably dependent on energy consumption and on share of energy sources as well as on the extent of economic ***,these factors must be considered for CO_(2) emission prediction for seven middle eastern countries including Iran,Kuwait,United Arab Emirates,Turkey,Saudi Arabia,Iraq and *** order to propose a predictive model,a Multilayer Perceptron Artificial Neural Network(MLP ANN)is *** transfer functions including logsig,tansig and radial basis functions are utilized in the hidden layer of the ***,various numbers of neurons are applied in the structure of the *** is revealed that using MLP ANN makes it possible to accurately predict CO_(2) emission of these *** addition,it is concluded that using logsig transfer function leads to the highest accuracy with minimum value of mean squared error(MSE)which is followed by the networks with radial basis and tansig transfer *** R-squared of the networks with logsig,radial basis and tansig transfer functions are 0.9998,0.9997 and 0.9996,***,comparison of the proposed model with a similar study,considered five countries in the same region,reveals higher accuracy in term of MSE.

关键词： CO_(2)emission artificial neural network middle eastern countries transfer function

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Clinical presentation,management,screening and surveillance for colorectal cancer during the COVID-19 pandemic

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World Journal of Clinical Cases 2022年第26期10卷 9228-9240页

作者： Sami Akbulut Abdirahman Sakulen Hargura ibrahim Umar Garzali ali Aloun Cemil Colak Department of Surgery Inonu University Faculty of MedicineMalatya 44280Turkey Biostatistics and Medical Informatics Inonu University Faculty of MedicineMalatya 44280Turkey Department of Surgery Kenyatta University TeachingReferral and Research HospitalNairobi 00100Kenya Department of Surgery Aminu Kano Teaching HospitalKano 700101Nigeria Department of Surgery King Hussein Medical CenterAmman 11855Jordan

Management of colorectal cancer(CRC)was severely affected by the changes implemented during the pandemic,and this resulted in delayed elective presentation,increased emergency presentation,reduced screening and delayed definitive *** review was conducted to analyze the impact of the coronavirus disease 2019(COVID-19)pandemic on management of CRC and to identify the changes made in order to adapt to the *** performed a literature search in PubMed,Medline,Index Medicus,EMBASE,SCOPUS,Reference Citation Analysis(https://***/)and Google Scholar using the following keywords in various combinations:Colorectal cancer,elective surgery,emergency surgery,stage upgrading,screening,surveillance and the COVID-19 *** studies published in English were *** curtail the spread of COVID-19 infection,there were modifications made in the management of *** was limited to high risk individuals,and the screening tests of choice during the pandemic were fecal occult blood test,fecal immunochemical test and stool DNA *** use of capsule colonoscopy and open access colonoscopy was also ***-based tests like serum methylated septin 9 were also encouraged for screening of CRC during the *** presentation of CRC was also affected by the pandemic with more patients presenting with emergencies like obstruction and *** migration was also observed during the pandemic with more patients presenting with more advanced *** operative therapy of CRC was altered by the pandemic as more emergencies surgeries were done,which may require exteriorization by *** was to reduce the morbidity associated with anastomosis and encourage early discharge from the *** was also an initial reduction in laparoscopic surgical procedures due to the fear of aerosols and COVID-19 *** we gradually come out of the pandemic,we should remember the lessons learned and continue to apply

关键词： COVID-19 pandemic Colorectal cancer Screening Surveillance Stage upgrading Elective surgery Emergency surgery

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Soliton solutions for time fractional ocean engineering models with Beta derivative

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Journal of Ocean Engineering and Science 2022年第5期7卷 444-448页

作者： ibrahim Yalçınkaya Hijaz Ahmad Orkun Tasbozan ali Kurt Department of Mathematics and Computer Sciences Faculty of ScienceNecmettin Erbakan UniversityKonyaTurkey Department of Basic Sciences University of Engineering and TechnologyPeshawarPakistan Department of Mathematics Faculty of Science and LiteratureHatay Mustafa Kemal UniversityHatayTurkey Department of Mathematics Faculty of Science and LiteraturePamukkale UniversityDenizliTurkey

In this study,the authors obtained the soliton and periodic wave solutions for time fractional symmetric regularized long wave equation(SRLW)and Ostrovsky equation(OE)both arising as a model in ocean *** this aim modified extended tanh-function(mETF)is *** using this method,chain rule is employed to turn fractional nonlinear partial differential equation into the nonlinear ordinary differential equation in integer *** to the chain rule,there is no further requirement for any normalization or *** derivative which involves fractional term is used in considered mathematical *** the exact solutions of these equations is very important for knowing the wave behavior in ocean engineering models.

关键词： Symmetric regularized long wave equation Beta derivative Ostrovsky equation Analytical solution Soliton solutions Periodic wave solution

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Metaheuristic Optimization for Mobile Robot Navigation Based on Path Planning

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Computers, Materials & Continua 2022年第11期73卷 2241-2255页

作者： El-Sayed M.El-kenawy Zeeshan Shafi Khan Abdelhameed ibrahim Bandar Abdullah Aloyaydi Hesham Arafat ali ali E.Takieldeen Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Faculty of Artificial Intelligence Delta University for Science and TechnologyMansoura35712Egypt Computer Science Department College of Engineering and Computer ScienceMustaqbal UniversityBuraidahSaudi Arabia Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Mechanical Engineering Qassim UniversityBuraidah51452Saudi Arabia

Recently,the path planning problem may be considered one of the most interesting researched topics in autonomous *** is why finding a safe path in a cluttered environment for a mobile robot is a significant requisite.A promising route planning for mobile robots on one side saves time and,on the other side,reduces the wear and tear on the robot,saving the capital *** route planning methods for the mobile robot have been developed and *** to our best knowledge,no method offers an optimum solution among the existing *** Swarm Optimization(PSO),a numerical optimization method based on the mobility of virtual particles in a multidimensional space,is considered one of the best algorithms for route planning under constantly changing environmental *** the researchers,reactive methods are increasingly common and extensively used for the training of neural networks in order to have efficient route planning for mobile *** paper proposes a PSO Weighted Grey Wolf Optimization(PSOWGWO)*** is a hybrid algorithm based on enhanced Grey Wolf Optimization(GWO)with *** order to measure the statistical efficiency of the proposed algorithm,Wilcoxon rank-sum and ANOVA statistical tests are *** experimental results demonstrate a 25%to 45%enhancement in terms of Area Under Curve(AUC).Moreover,superior performance in terms of data size,path planning time,and accuracy is demonstrated over other state-of-the-art techniques.

关键词： Mobile robot swarm optimization robot route planning neural networks

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Adaptive Power Control Aware Depth Routing in Underwater Sensor Networks

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Computers, Materials & Continua 2021年第10期69卷 1301-1322页

作者： Ghufran Ahmed Saiful Islam Ihsan ali Isra Adil Hayder Abdelmuttlib ibrahim Abdalla Ahmed Muhammad Talha Sultan S.Alshamrani Ag Asri Ag ibrahim Department of Computer Science FAST National University of Computer and Emerging Sciences(NUCES)KarachiPakistan Dr.A.Q.Khan Institute of Computer Sciences and Information Technology KahutaPakistan Faculty of Computer Science and Information Technology University of MalayaKuala Lumpur50603Malaysia Department of Computer Science COMSATS University IslamabadIslamabadPakistan Deanship of Scientific Research King Saud UniversityRiyadhSaudi Arabia Department of Information Technology College of Computer and Information TechnologyTaif UniversityTaif21944Saudi Arabia Faculty of Computing and Informatics Universiti Malaysia SabahKota KinabaluSabahMalaysia

Underwater acoustic sensor network(UASN)refers to a procedure that promotes a broad spectrum of aquatic *** can be practically applied in seismic checking,ocean mine identification,resource exploration,pollution checking,and disaster *** confronts many difficulties and issues,such as low bandwidth,node movements,propagation delay,3D arrangement,energy limitation,and high-cost production and arrangement costs caused by antagonistic underwater *** wireless sensor networks(UWSNs)are considered a major issue being encountered in energy management because of the limited battery power of their ***,the harsh underwater environment requires vendors to design and deploy energy-hungry devices to fulfil the communication requirements and maintain an acceptable quality of ***,increased transmission power levels result in higher channel interference,thereby increasing packet *** the facts mentioned above,this research presents a controlled transmission power-based sparsity-aware energy-efficient clustering in *** contributions of this technique is ***,it uses the adaptive power control mechanism to utilize the sensor nodes’battery and reduce channel interference ***,thresholds are defined to ensure successful ***,clustering can be implemented in dense areas to decrease the repetitive transmission that ultimately affects the energy consumption of nodes and interference ***,mobile sinks are deployed to gather information locally to achieve the previously mentioned *** suggested protocol is meticulously examined through extensive simulations and is validated through comparison with other advanced UWSN *** show that the suggested protocol outperforms other procedures in terms of network lifetime and packet delivery ratio.

关键词： UWSNs UASNs QoS

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Advance Artificial Intelligence Technique for Designing Double T-Shaped Monopole Antenna

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Computers, Materials & Continua 2021年第12期69卷 2983-2995页

作者： El-Sayed M.El-kenawy Hattan F.Abutarboush ali Wagdy Mohamed Abdelhameed ibrahim Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt Electrical Engineering Department College of EngineeringTaibah UniversityMedina 42353Saudi Arabia Operations Research Department Faculty of Graduate Studies for Statistical ResearchCairo UniversityGiza 12613Egypt Wireless Intelligent Networks Center(WINC) School of Engineering and Applied SciencesNile UniversityGizaEgypt Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt

Machine learning(ML)has taken the world by a tornado with its prevalent applications in automating ordinary tasks and using turbulent insights throughout scientific research and design *** is a massive area within artificial intelligence(AI)that focuses on obtaining valuable information out of data,explaining why ML has often been related to stats and data *** advanced meta-heuristic optimization algorithm is proposed in this work for the optimization problem of antenna architecture *** algorithm is designed,depending on the hybrid between the Sine Cosine Algorithm(SCA)and the Grey Wolf Optimizer(GWO),to train neural networkbased Multilayer Perceptron(MLP).The proposed optimization algorithm is a practical,versatile,and trustworthy platform to recognize the design parameters in an optimal way for an endorsement double T-shaped monopole *** proposed algorithm likewise shows a comparative and statistical analysis by different curves in addition to the ANOVA and *** offers the superiority and validation stability evaluation of the predicted results to verify the procedures’accuracy.

关键词： Antenna optimization machine learning artificial intelligence multilayer perceptron sine cosine algorithm grey wolf optimizer

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