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Prediction of diabetes and hypertension using multi-layer perceptron neural networks

International Journal of Modeling, Simulation, and Scientific Computing 2021年第2期12卷 120-137页

作者： hani bani-salameh Shadi MAlkhatib Moawyiah Abdalla Mo’taz Al-Hami Ruaa Banat Hala Zyod Ahed J Alkhatib Department of Software Engineering The Hashemite University ZarqaJordan Department of Computer Information System The Hashemite University ZarqaJordan Department of Legal Medicine School of Medicine JUSTJordan

Background:Diabetes and hypertension are two of the commonest diseases in the *** they unfavorably affect people of different age groups,they have become a cause of concern and must be predicted and diagnosed well in ***:This research aims to determine the effectiveness of artificial neural networks(ANNs)in predicting diabetes and blood pressure diseases and to point out the factors which have a high impact on these ***:This work used two online datasets which consist of data collected from 768 *** applied neural network algorithms to predict if the individuals have those two diseases based on some *** prediction is based on five factors:age,weight,fat-ratio,glucose,and insulin,while blood pressure prediction is based on six factors:age,weight,fat-ratio,blood pressure,alcohol,and ***:A model based on the Multi-Layer Perceptron Neural Network(MLP)was *** inputs of the network were the factors for each disease,while the output was the prediction of the disease’s *** model performance was compared with other classifiers such as Support Vector Machine(SVM)and K-Nearest Neighbors(KNN).We used performance metrics measures to assess the accuracy and performance of ***,a tool was implemented to help diagnose the diseases and to understand the ***:The model predicted the two diseases with correct classification rate(CCR)of 77.6%for diabetes and 68.7%for *** results indicate that MLP correctly predicts the probability of being diseased or not,and the performance can be significantly increased compared with both SVM and *** shows MLPs effectiveness in early disease prediction.

关键词： Artificial Neural Network(ANN) Multi-Layer Perceptron(MLP) SVM KNN decision-making prediction tools diabetes blood pressure hypertension software tools

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Formation Mechanisms of Some Features in Siliceous Upper Cretaceous-Lower Tertiary Beds of Jordan-Undulations, Geodes, Boudinages

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Open Journal of Geology 2024年第4期14卷 569-577页

作者： Elias salameh hani Khoury Department of Geology University of Jordan Amman Jordan

Geode, boudinage, and undulation structures are widely distributed in the siliceous beds of the Upper Cretaceous/Tertiary rocks in Jordan. Their formation was attributed to tectonic forces, syngenetic processes, organic disintegration processes, subaquatic gliding, compaction and settlement, and meteoritic impacts. In this work, the structural features in the siliceous beds of Jordan are attributed to an interplay of load and directed pressures, and mineralogical transformation processes (opal-A to opal-CT to quartz), governed by pH changes. Tectonic directed pressure was acting in an ESE-WSW direction and is common in the silicified limestone of Upper Cretaceous.

关键词： Undulations Geodes Boudinages Opal-A Porcelanite Chert Transformations pH Changes Stress Fields Jordan

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Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1167-1202页

作者： Samina Amin Muhammad Ali Zeb hani Alshahrani Mohammed Hamdi Mohammad Alsulami Asadullah Shaikh Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information System College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic *** review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their ***,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by *** paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic *** has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation *** recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM *** paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM ***,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

关键词： Social media epidemic machine learning deep learning health informatics pandemic

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An Electrical Impedance Imaging System Towards Edge Intelligence for Non-Destructive Testing of Concrete

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Tsinghua Science and Technology 2024年第3期29卷 883-896页

作者： Abolfazl Roshanpanah Mahdi Abbasi hani Attar Ayman Amer Mohammad R.Khosravi Ahmed A.Solyman Department of Electrical Engineering Islamic Azad UniversityScience and Research BranceTehran ***Iran Department of Computer Engineering Bu-Ali Sina UniversityHamedan ***Iran Department of Energy Engineering Zarqa UniversityZarqa 13110Jordan Department of Computer Engineering Persian Gulf UniversityBushehr ***Iran Department of Electrical and Electronics Engineering Faculty of Engineering and ArchitectureNişantaşıUniversityIstanbul 34398Turkey

In the construction industry,to prevent accidents,non-destructive tests are necessary and *** impedance tomography is a new technology in non-invasive imaging in which the image of the inner part of conductive bodies is reconstructed by the arrays of external electrodes that are connected on the periphery of the *** equipment is cheap,fast,and edge *** this imaging method,the image of electrical conductivity distribution(or its opposite;electrical impedance)of the internal parts of the target object is *** image reconstruction process is performed by injecting a precise electric current to the peripheral boundaries of the object,measuring the peripheral voltages induced from it and processing the collected *** an electrical impedance tomography system,the voltages measured in the peripheral boundaries have a non-linear equation with the electrical conductivity *** paper presents a cheap Electrical Impedance Tomography(EIT)instrument for detecting impurities in the concrete.A voltage-controlled current source,a micro-controller,a set of multiplexers,a set of electrodes,and a personal computer constitute the structure of the *** conducted tests on concrete with impurities show that the designed EIT system can reveal impurities with a good accuracy in a reasonable time.

关键词： non-destructive testing system concrete electrical impedance tomography

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Heating-Cooling Monitoring and Power Consumption Forecasting Using LSTM for Energy-Efficient Smart Management of Buildings: A Computational Intelligence Solution for Smart Homes

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Tsinghua Science and Technology 2024年第1期29卷 143-157页

作者： Omid Akbarzadeh Sahand Hamzehei hani Attar Ayman Amer Nazanin Fasihihour Mohammad R.Khosravi Ahmed A.Solyman Department of Electronics and Telecommunications Politecnico di TorinoTurin 10129Italy Department of Energy Engineering Zarqa UniversityZarqa 13110Jordan Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 262799China Department of Electrical and Electronics Engineering Faculty of Engineering and ArchitectureNisantası UniversityIstanbul 25370The Republic of Turkiye

Energy management in smart homes is one of the most critical problems for the Quality of Life(QoL)and preserving energy *** of the relevant issues in this subject is environmental contamination,which threatens the world's *** computing-enabled Artificial Intelligence(Al)algorithms can provide impactful solutions to this *** research proposes using one of the Recurrent Neural Network(RNN)algorithms known as Long Short-Term Memory(LSTM)to comprehend how it is feasible to perform the cloud/fog/edge-enabled prediction of the building's *** parameters of power electricity,power heating,power cooling,and total power in an office/home in cold-climate cities are considered as our features in the *** on the collected data,we evaluate the LSTM approach for forecasting parameters for the next year to predict energy consumption and online monitoring of the model's performance under various *** implementing the Al predictive algorithm,several existing tools are *** results have been generated through simulations,and we find them promisingforfutureapplications.

关键词： design-builder Besos smart cities smart building neural network Long Short-Term Memory(LSTM)

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Intelligent Fractional-Order Controller for SMES Systems in Renewable Energy-Based Microgrid

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Computer Modeling in Engineering & Sciences 2024年第8期140卷 1807-1830页

作者： Aadel M.Alatwi Abualkasim Bakeer Sherif A.Zaid Ibrahem E.Atawi hani Albalawi Ahmed M.Kassem Electrical Engineering Department Faculty of EngineeringUniversity of TabukTabuk47913Saudi Arabia Industrial Innovation and Robotic Center(IIRC) University of TabukTabuk47731Saudi Arabia Department of Electrical Engineering Faculty of EngineeringAswan UniversityAswan81542Egypt Renewable Energy and Environmental Technology Centre University of TabukTabuk47913Saudi Arabia Electrical Engineering Department Faculty of EngineeringSohag UniversitySohag82524Egypt

An autonomous microgrid that runs on renewable energy sources is presented in this *** has a supercon-ducting magnetic energy storage(SMES)device,wind energy-producing devices,and an energy storage ***,because such microgrids are nonlinear and the energy they create varies with time,controlling and managing the energy inside them is a difficult ***-order proportional integral(FOPI)controller is recommended for the current research to enhance a standalone microgrid’s energy management and *** suggested dedicated control for the SMES comprises two loops:the outer loop,which uses the FOPI to regulate the DC-link voltage,and the inner loop,responsible for regulating the SMES current,is constructed using the intelligent FOPI(iFOPI).The FOPI+iFOPI parameters are best developed using the dandelion optimizer(DO)approach to achieve the optimum *** suggested FOPI+iFOPI controller’s performance is contrasted with a conventional PI controller for variations in wind speed and microgrid *** optimal FOPI+iFOPI controller manages the voltage and frequency of the *** behavior of the microgrid as a reaction to step changes in load and wind speed was measured using the proposed *** simulations were used to evaluate the recommended system’s *** results of the simulations showed that throughout all interruptions,the recommended microgrid provided the load with AC power with a constant amplitude and *** addition,the required load demand was accurately ***,the microgrid functioned incredibly well despite SMES and varying wind *** obtained under identical conditions were compared with and without the best FOPI+iFOPI *** utilizing the optimal FOPI+iFOPI controller with SMES,it was found that the microgrid performed better than the microgrid without SMES.

关键词： Fractional-order proportional integral(FOPI) intelligent controller renewable energy resources superconducting magnetic energy storage optimization

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High-Performance Flow Classification of Big Data Using Hybrid CPU-GPU Clusters of Cloud Environments

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Tsinghua Science and Technology 2024年第4期29卷 1118-1137页

作者： Azam Fazel-Najafabadi Mahdi Abbasi hani H.Attar Ayman Amer Amir Taherkordi Azad Shokrollahi Mohammad R.Khosravi Ahmed A.Solyman Department of Computer Engineering Faculty of EngineeringBu-Ali Sina UniversityHamedan ***Iran Department of Energy Engineering Zarqa UniversityZarqa 13132Jordan Department of Informatics University of OsloOslo 0316Norway Department of Computer Science MalmöUniversityMalmö20506Sweden Shandong Provincial University Laboratory for Protected Horticulture Weifang University of Science and TechnologyWeifang 261100China Department of Electrical and Electronics Engineering NişantaşıUniversityIstanbul 34481742Türkiye

The network switches in the data plane of Software Defined Networking (SDN) are empowered by an elementary process, in which enormous number of packets which resemble big volumes of data are classified into specific flows by matching them against a set of dynamic rules. This basic process accelerates the processing of data, so that instead of processing singular packets repeatedly, corresponding actions are performed on corresponding flows of packets. In this paper, first, we address limitations on a typical packet classification algorithm like Tuple Space Search (TSS). Then, we present a set of different scenarios to parallelize it on different parallel processing platforms, including Graphics Processing Units (GPUs), clusters of Central Processing Units (CPUs), and hybrid clusters. Experimental results show that the hybrid cluster provides the best platform for parallelizing packet classification algorithms, which promises the average throughput rate of 4.2 Million packets per second (Mpps). That is, the hybrid cluster produced by the integration of Compute Unified Device Architecture (CUDA), Message Passing Interface (MPI), and OpenMP programming model could classify 0.24 million packets per second more than the GPU cluster scheme. Such a packet classifier satisfies the required processing speed in the programmable network systems that would be used to communicate big medical data.

关键词： OpenMP Compute Unified Device Architecture(CUDA) Message Passing Interface(MPI) packet classification medical data tuple space algorithm Graphics Processing Unit(GPU)cluster

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Synthesis and characterization of a 1,3-dibutylimidazolium azide([BBIm][N_(3)]) : A promising green energetic ionic liquid

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Defence Technology（防务技术） 2024年第8期38卷 1-15页

作者： Nawel Matmat Amir Abdelaziz Djalal Trache Achour Sabrina Ahmed Fouzi Tarchoun hani Boukeciat Sourbh Thakur Weiqiang Pang Thomas M.Klapotke Energetic Materials Laboratory(EMLab) Teaching and Research Unit of Energetic ProcessesEcole Militaire PolytechniqueBP 17 Bordj El-BahriAlgiers 16046Algeria Department of Organic Chemistry Bioorganic Chemistry and BiotechnologySilesian University of TechnologyB.Krzywoustego 444-100 GliwicePoland Xi'an Modern Chemistry Research Institute Xi'an 710065China Energetic Materials Research Department of ChemistryLudwig-Maximilian UniversityMunich Butenandtstrasse 5-13(D)D-81377 MunichGermany

In the pursuit of advancing imidazolium-based energetic ionic liquids (EILs),the current study is devoted to the synthesis and characterization of 1,3-dibutyl-imidazolium azide ([BBIm][N_(3)]),as a novel member in this ionic liquids *** chemical structure of this EIL was rigorously characterized and confirmed using FTIR spectroscopy,1D,and 2D-NMR *** thermal behavior assessment was conducted through DSC and TGA *** analysis revealed an endothermic glass transition at T_(g)=-61℃,followed by an exothermic degradation event at T_(onset)=311℃.Similarly,TGA thermograms exhibited a one-stage decomposition process resulting in 100% mass loss of the ***,the short-term thermal stability of the azide EIL was investigated by combining the non-isothermal TGA data with the TAS,it-KAS,and VYA/CE isoconversional kinetic ***,the Arrhenius parameters(E_(a)=154 kJ·mol^(-1),Log(A/s^(-1))=11.8) and the most probable reaction model g(a) were *** observed high decomposition temperatures and the significantly elevated activation energy affirm the enhanced thermal stability of the modified *** findings revealed that[BBIm][N_(3)]EIL can be a promising candidate for advanced energetic material application.

关键词： 1,3-dibutyl-imidazolium azide[BBIm][N_(3)] Energetic imidazolium-base ionic liquids 1D-/2D-NMR analyses Short-term thermal stability Isoconversional approaches

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Solitary fibrous tumor:A case report of this multifaceted tumor

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World Journal of Clinical Cases 2024年第25期12卷 5791-5797页

作者： hani Maalouf Ribal Aby Hadeer Souad Ghattas Omar Tabbikha Hasan Numan Raja Wakim Department of General Surgery University of BalamandBeirut 100Lebanon Department of General Surgery Mount Lebanon Hospital University Medical CenterBeirut 7031Lebanon

BACKGROUND Solitary fibrous tumor(SFT)is a remarkably uncommon mesenchymal ***6 level and a combination of clinical,pathological,and molecular features are required to arrive at a proper *** SUMMARY In this report,we present an intriguing case involving a 43-year-old woman who initially exhibited symptoms of a bleeding retroperitoneal tumor,initially resembling a gastrointestinal stromal tumor,but later confirmed as an ***,a year later,what was initially believed to be a recurrence of her SFT was instead identified as a desmoid *** Distinguishing SFT from other tumors was *** misdiagnoses of tumor type initially and of recurrence later was necessary for appropriate treatment of the correct desmoid type.

关键词： Solitary fibrous tumor Retroperitoneal tumor Soft tissue neoplasms Sarcoma NAB2-STAT6 Case report

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An agent-based model of agricultural land expansion in the mountain forest of Timor Island,Indonesia

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Journal of Mountain Science 2024年第7期21卷 2263-2282页

作者： PUJIONO Eko SADONO Ronggo IMRON Muhammad Ali SUTOMO JANUAR Hedi Indra KUSWANDI Relawan KURNIAWAN Hery HADI Etik Erna Wati SAPUTRA Muhammad Hadi HIDAYAH Izhamil HUMAIDA Nida SUKMAWATI Jalma Giring HADIYAN Yayan NUGROHO Agung Wahyu hani Aditya Research Center for Ecology and Ethnobiology National Research and Innovation Agency Republic of Indonesia(BRIN)Jl.Raya Jakarta-Bogor KM.46CibinongBogor 16911Indonesia Faculty of Forestry Gadjah Mada UniversityJl.Agro No.1Yogyakarta 55281Indonesia

The Mutis-Timau Forest Complex,located on Timor Island,Indonesia,is a mountainous tropical forest area that gradually decreases due to deforestation and forest *** modelling studies based on patterns indicate that deforestation primarily occurs at lower elevations and near the boundaries of forests and settlements,often associated with shifting cultivation by local *** study adopts a process-based modelling approach,specifically the agent-based model,to simulate land changes,particularly farmers'expansion of agricultural land around the Mutis mountain *** underlying concept of this agent-based approach is the interaction between the human and environmental ***,representing the human system,interact with the land,which represents the environmental system,through land use decision-making *** research was conducted in the Community Forest of the Timor Tengah Utara District,one of the sites within the Mutis-Timau Forest Complex with the highest deforestation *** use change simulations were performed using agent-based modelling from 1999 to 2030,considering the socio-economic conditions of farmers,spatial preferences,land use decisions,and natural *** results revealed that the agricultural area increased by 14%under the Business as Usual scenario and 5%under the Reducing Emission from Deforestation and Forest Degradation scenario,compared to the initial agricultural area of 245 *** probability of farmers deciding to extend agricultural activities was positively associated with the number of livestock maintained by farmers and the size of the village ***,the likelihood of farmers opting for agricultural extensification decreased with an increase in the area of private land and the farmer's *** findings are crucial for the managers of the Mutis-Timau Forest Complex and other relevant stakeholders,as they aid in arranging actions to combat deforestation,designing proper fore

关键词： Agricultural land expansion Simulation Agent-based model Farmer Deforestation Mountainous tropical forest

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