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Traffic Control Based on Integrated Kalman Filtering and Adaptive Quantized Q-Learning Framework for Internet of Vehicles

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Computer Modeling in Engineering & sciences 2024年第3期138卷 2103-2127页

作者： Othman s.Al-Heety Zahriladha Zakaria Ahmed Abu-Khadrah Mahamod Ismail sarmad Nozad Mahmood mohammed Mudhafar shakir Hussein Alsariera Faculty of Electronic and Computer Engineering Universiti Teknikal Malaysia Melaka(UTeM)Durian TunggalMalaysia College of Computing&Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Department of Electrical Electronic and System EngineeringUniversiti Kebangsaan MalaysiaUKM BangiSelangorMalaysia Computer Technology Engineering College of Engineering TechnologyAl-Kitab UniversityKirkukIraq Faculty of Engineering and Electronic Engineering Universiti Tun Hussein Onn Malaysia(UTHM)Batu PahatMalaysia 6Research Center DepartmentThe University of MashreqBaghdadIraq

Intelligent traffic control requires accurate estimation of the road states and incorporation of adaptive or dynamically adjusted intelligent algorithms for making the *** this article,these issues are handled by proposing a novel framework for traffic control using vehicular communications and Internet of Things *** framework integrates Kalman filtering and *** smoothing Kalman filtering,our data fusion Kalman filter incorporates a process-aware model which makes it superior in terms of the prediction *** traditional Q-learning,our Q-learning algorithm enables adaptive state quantization by changing the threshold of separating low traffic from high traffic on the road according to the maximum number of vehicles in the junction *** evaluation,the model has been simulated on a single intersection consisting of four roads:east,west,north,and south.A comparison of the developed adaptive quantized Q-learning(AQQL)framework with state-of-the-art and greedy approaches shows the superiority of AQQL with an improvement percentage in terms of the released number of vehicles of AQQL is 5%over the greedy approach and 340%over the state-of-the-art ***,AQQL provides an effective traffic control that can be applied in today’s intelligent traffic system.

关键词： Q-learning intelligent transportation system(ITs) traffic control vehicular communication kalman filtering smart city Internet of Things

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A Comprehensive Analysis of the Thermo-Chemical Properties of sudanese Biomass for sustainable Applications

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Journal of Renewable Materials 2024年第4期12卷 721-736页

作者： Wadah mohammed Zeinab Osman salah Elarabi Bertrand Charrier Institute of Analytical sciences and Physical-Chemistry for the Environment and Materials-Xylomat University of Pau and the Adour RegionE2S UPPACNRSIPREM-UMR 5254Mont de Marsan40004France Institute of Engineering Research and Materials Technology(IERMT) National Center for Research(NCR)Ministry of Higher Education and Scientific ResearchKhartoum11111Sudan Faculty of Industries Engineering and Technology University of GeziraGezira State21111Sudan

The chemical composition and thermal properties of natural fibers are the most critical variables that determine the overall properties of the fibers and influence their processing and use in different sustainable applications,such as their conversion into bioenergy and *** thermal and mechanical properties can be estimated by evaluating the content of cellulose,lignin,and other extractives in the *** this research work,the chemical composition and thermal properties of three fibers,namely bagasse,kenaf bast fibers,and cotton stalks,were evaluated to assess their potential utilization in producing biocomposites and bioenergy *** chemical composition analysis followed the Technical Association of the Pulp and Paper Industry standards(TAPPI)*** total phenol content was quantified using the Folin-Ciocalteu method,while Fourier Transform Infrared spectroscopy(FTIR)was employed to assess the light absorption by the *** evaluate thermal stability and higher heating values,Thermogravimetric Analysis(TGA),Differential scanning Calorimetry(DsC),and bomb calorimetry were *** chemical analysis revealed that bagasse contained 50.6%cellulose and 21.6%lignin,kenaf bast fibers had 58.5%cellulose and 10%lignin,and cotton stalks exhibited 40.3%cellulose and 21.3%*** FTIR curves demonstrated a notable similarity among the *** TGA analysis showed degradation temperatures of 321°C for bagasse,354°C for kenaf bast fibers,and 289°C for cotton *** DsC analysis revealed glass transition temperatures of 81°C for bagasse,66.3°C for cotton stalks,and 64.5°C for kenaf bast *** higher heating values were measured as 17.3,16.6 and 17.1 MJ/kg for bagasse,kenaf bast fibers,and cotton stalks,*** three fibers have a high potential for biocomposites and bioenergy material manufacturing.

关键词： Bagasse kenaf bast fibers cotton stalks TGA DsC FTIR

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Role of circular economy,energy transition,environmental policy stringency,and supply chain pressure on CO_(2)emissions in emerging economies

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Geoscience Frontiers 2024年第3期15卷 209-220页

作者： sunil Tiwari Kamel si mohammed Grzegorz Mentel sebastian Majewski Irum shahzadi Department of Tourism studies School of Business StudiesCentral University of KeralaIndia Faculty of Economics and Management Department of EconomicsUniversity of Ain TemouchentAlgeria Department of Quantitative Methods Faculty of ManagementRzeszow University of Technology35-959 RzeszowPoland Institute of Economics and Finance University of Szczecinul.A.Mickiewicza 6471-101 SzczecinPoland Department of Business Administration IQRA University Karachi-75300Pakistan Department of Production EngineeringSão Paulo State University(UNESP)BauruBrazil

This paper investigates the effect of the circular economy on CO_(2)emissions growth by considering the role of energy transition,climate policy stringency,industrialization,and supply chain pressure from 1997 to 2020 using panel quantile Autoregressive Distributed Lags(QARDL)and the panel *** employ cointegration association in the long run among the variables,and the results of the two models confirm *** reveal that circular economy and climate policy stringency significantly negatively impact carbon *** the other hand,the energy transition,industrialization,and supply chain pressures are crucial to determining CO_(2)emissions in the short and long *** finding further explores that municipal waste generation recycling is considerable at the mean and upper 90th quantiles than the lower ***,the empirical results of the current study provide acumens for policymakers of advanced economies and emerging markets to maintain the balance among circular economy,energy transition,environmental policy stringency,and supply chain pressure for reducing CO_(2)emissions without halting economic growth and sustainable ***,practical implications are reported through the lens of carbon neutrality and structural changes.

关键词： Circular economy Energy transition supply chain Carbon emissions Panel QARDL

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Advancing sandstone reservoir compressibility prediction:A correlation-driven methodology

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Petroleum Research 2024年第2期9卷 273-279页

作者： Tarek Ganat Meftah Hrairi Amr Badawy Vahid Khosravi mohammed Abdalla Department of Petroleum Chemical Engineering Sultan Qaboos UniversityP.O.Box 50Al-Khod123MuscatOman Department of Mechanical and Aerospace Engineering International Islamic University MalaysiaP.O.Box 1050728Kuala LumpurMalaysia Reservoir Engineering section Petronas Carigali SDN BHDP.O.Box 10500088Kuala LumpurMalaysia Department of Chemical and Petroleum Engineering Faculty of EngineeringTechnologyand Built EnvironmentUCSI University56000Kuala LumpurMalaysia Chemical&Petroleum Engineering United Arab Emirates UniversityP.O.Box No.15551Al AinUAE

This study presents a correlation-based approach for predicting the compressibility of sandstone reservoir *** study proposes a matrix of new empirical equations that significantly improve the precision of measuring the pore volume compressibility,with the most optimal fit of results based on a cubic polynomial *** accuracy of the calculations was validated through comparison with actual data using root mean square method,and the suggested correlations significantly enhance the precise prediction of rock compressibility in sandstone *** this study,the source of data collection is consolidated and unconsolidated sandstone from East Asia offshore ***,variations in compressibility with net overburden pressure over the course of the field's lifespan have been *** results demonstrate the application of regression analysis in establishing a network of linkages between independent and dependent *** proposed correlations for consolidated and unconsolidated sandstones offer a remarkable improvement in the accurate calculation of rock compressibility compared to traditional laboratory procedures,with an average error of 2.5%compared to 5-10%for laboratory *** approach of this study offers a cost-effective and time-efficient alternative to remarkedly enhance the overall performance of sandstone reservoirs in the oil and gas industry.

关键词： Compressibility Consolidated and unconsolidated sandstone Rock properties Rock mechanics

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Effect of geopolitical risk and economic uncertainty indices on renewable energy

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Geoscience Frontiers 2024年第3期15卷 237-247页

作者： Xin Zhao Kamel si mohammed Yaohui Wang Pawełste˛pien Grzegorz Mentel school of statistics and Applied Mathematics Anhui University of Finance and EconomicsBengbuPR China Faculty of Economics and Management University Ain Temouchent Belhadj BouchaibAlgeria school of Urban and Regional science Institute of Finance and Economics ResearchShanghai University of Finance and EconomicShanghaiPR China Institute of Economics and Finance University of SzczecinPoland Department of Quantitative Methods Faculty of ManagementRzeszow University of TechnologyRzeszow 35-959Poland

In this study,the relationships between five renewable energy sub-sectors markets and the geopolitical risk(GPR)and economic uncertainty indices(EUI)were examined using daily data from March 30,2012,to April 1,*** cross mapping results show that the renewable energy indices have definite relationships with the GPR and *** renewable energy indices show differences in response directions,speed and trends for a standard information difference impulse from the GPR and the EUI.A positive dynamic conditional correlation between renewable energies and EUI was observed in the first and second waves of the COVID-19 *** contrast,there was a relatively decreased effect for two risk indices during the Russia-Ukraine conflict of February-March *** results show that renewable energy may act as a time-varying hedge against economic uncertainty and GPR owing to its safehaven properties at various ***,building more secure and reliable renewable energy systems can help countries to increase their energy independence,which protects them against the risks of political and economic uncertainty.

关键词： Renewable energy Uncertainty indices Impulse response safe-haven

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Exploring public perception and willingness to pay for a renewable source of energy:evidence from an emerging economy of renewable-energy development

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Clean Energy 2024年第2期8卷 177-188页

作者： mohammed J.K.Bashir senadjki Abdelhak Wael A.salah Mai Abuhelwa school of Engineering&Technology Central Queensland University120 Spencer St.MelbourneQLD 3000Australia Faculty of Business and Finance Universiti Tunku Abdul RahmanKamparPerakMalaysia Department of Electrical Engineering College of Engineering and TechnologyPalestine Technical University-KadooriePO Box 7Yafa StreetTulkarmPalestine Department of Electrical Engineering and Computer science University of MissouriColumbiaMO 65211USA

The study focuses on the transition from conventional energy sources to sustainable renewable energy(RE)in Palestine,particularly in the West Bank and Gaza *** research aims to understand the relationship between key factors and residents’willingness to invest in the RE sector,with a specific focus on the impact of *** the unified theory of acceptance and use of technology,the study analyzes data from 400 residents through a questionnaire and employs ordinary least-squares regression analysis with Eviews *** key findings indicate that residents’inclination to invest in RE is significantly influenced by factors such as resource availability,knowledge level and power ***,the study suggests that educated residents are more likely to invest in RE when factors such as knowledge,effort expectation,enabling conditions and resource availability are relatively *** conclusion emphasizes the importance of policymakers’allocating sufficient funds to research and development to promote technological innovation in RE sources,thereby enhancing the population’s energy efficiency.

关键词： renewable energy technology energy security public perceptions sustainable development

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Terrorism Attack Classification Using Machine Learning: The Effectiveness of Using Textual Features Extracted from GTD Dataset

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Computer Modeling in Engineering & sciences 2024年第2期138卷 1427-1467页

作者： mohammed Abdalsalam Chunlin Li Abdelghani Dahou Natalia Kryvinska school of Computer science and Technology Wuhan University of TechnologyWuhan430070China LDDI Laboratory Faculty of Science and TechnologyUniversity of Ahmed DRAIAAdrar01000Algeria Information systems Department Faculty of ManagementComenius UniversityBratislava82005Slovakia

One of the biggest dangers to society today is terrorism, where attacks have become one of the most significantrisks to international peace and national security. Big data, information analysis, and artificial intelligence (AI) havebecome the basis for making strategic decisions in many sensitive areas, such as fraud detection, risk management,medical diagnosis, and counter-terrorism. However, there is still a need to assess how terrorist attacks are related,initiated, and detected. For this purpose, we propose a novel framework for classifying and predicting terroristattacks. The proposed framework posits that neglected text attributes included in the Global Terrorism Database(GTD) can influence the accuracy of the model’s classification of terrorist attacks, where each part of the datacan provide vital information to enrich the ability of classifier learning. Each data point in a multiclass taxonomyhas one or more tags attached to it, referred as “related tags.” We applied machine learning classifiers to classifyterrorist attack incidents obtained from the GTD. A transformer-based technique called DistilBERT extracts andlearns contextual features from text attributes to acquiremore information from text data. The extracted contextualfeatures are combined with the “key features” of the dataset and used to perform the final classification. Thestudy explored different experimental setups with various classifiers to evaluate the model’s performance. Theexperimental results show that the proposed framework outperforms the latest techniques for classifying terroristattacks with an accuracy of 98.7% using a combined feature set and extreme gradient boosting classifier.

关键词： Artificial intelligence machine learning natural language processing data analytic DistilBERT feature extraction terrorism classification GTD dataset

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Prevalence and associated factors of clubfoot in the eastern province of saudi Arabia: A hospital-based study

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World Journal of Orthopedics 2024年第7期15卷 635-641页

作者： Ammar K Alomran Bandar A Alzahrani Bader s Alanazi mohammed A Alharbi Loay M Bojubara Eman M Alyaseen Department of Orthopedic College of MedicineImam Abdulrahman bin Faisal UniversityDammam 34212Saudi Arabia College of Medicine Imam Abdulrahman bin Faisal UniversityDammam 34212Saudi Arabia College of Medicine Arabian Gulf UniversityManama 329Bahrain

BACKGROUND Clubfoot,or congenital talipes equinovarus,is a widely recognized cause of disability and congenital deformity worldwide,which significantly impacts the quality of *** management of clubfoot requires long-term,multidiscip-linary *** is important to understand how common this condition is in order to assess its impact on the ***,few studies have investigated the prevalence of clubfoot in saudi *** To determine the prevalence of clubfoot in saudi Arabia via the patient population at King Fahad University Hospital(KFUH).METHODs This was a retrospective study conducted at one of the largest hospitals in the country and located in one of the most densely populated of the administrative *** Of the 7792 births between 2015 to 2023 that were included in the analysis,42 patients were diagnosed with clubfoot,resulting in a prevalence of 5.3 per 1000 live births at *** The observed prevalence of clubfoot was significantly higher than both global and local estimates,indicating a substantial burden in the study population.

关键词： Clubfoot Talipes equinovarus Congenital talipes equinovarus Prevalence saudi Arabia

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A New Kind of Atomic Force Microscopy scan Control Enabled by Artificial Intelligence:Concept for Achieving Tip and sample safety Through Asymmetric Control

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Nanomanufacturing and Metrology 2024年第2期7卷 50-59页

作者： Johannes Degenhardt mohammed Wassim Bounaim Nan Deng Rainer Tutsch Gaoliang Dai Physikalisch-Technische Bundesanstalt Bundesallee 10038116 BrunswickGermany Institut Für Prozessmess-und sensortechnik Technische Universität Ilmenau EhrenbergstraBe 2998693 IlmenauGermany Institute of Production Metrology TU Braunschweig SchleinitzstraBe 2038106 BrunswickGermany

This paper introduces a paradigm shift in atomic force microscope(AFM)scan control,leveraging an artificial intelligence(AI)-based *** contrast to conventional control methods,which either show a limited performance,such as proportional integral differential(PID)control,or which purely focus on mathematical optimality as classical optimal control approaches,our proposed AI approach redefines the objective of control for achieving practical *** presented AI controller minimizes the root-mean-square control deviations in routine scans by a factor of about 4 compared to PID control in the presented setup and also showcases a distinctive asymmetric response in complex situations,prioritizing the safety of the AFM tip and sample instead of the lowest possible control *** development and testing of the AI control concept are performed on simulated AFM scans,demonstrating its huge potential.

关键词： Atomic force microscopy Artificial intelligence Deep reinforcement learning Optimal control

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Microalgae cultivation in photobioreactors: sustainable solutions for a greener future

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Green Chemical Engineering 2024年第4期5卷 418-439页

作者： shaikh Abdur Razzak Khairul Bahar K.M.Oajedul Islam Abdul Khaleel Haniffa mohammed Omar Faruque s.M.Zakir Hossain Mohammad M.Hossain Chemical Engineering Department King Fahd University of Petroleum and Minerals Center for Refining and Advanced Chemicals King Fahd University of Petroleum & Minerals Department of Chemical Engineering University of Bahrain

Microalgae cultivation in photobioreactors（PBRs） has emerged as a promising and sustainable approach to address various environmental and energy challenges, offering a multitude of benefits across diverse *** developments in microalgae cultivation in photobioreactors have contributed substantially to the development and optimization of sustainable bioprocesses. This review presents a comprehensive analysis of recent innovations and breakthroughs in the field of microalgae cultivation, with a specific focus on their application in photobioreactors, aimed at paving the way for a greener future. This study in-depth examines the advantages of microalgae cultivation in photobioreactors, concentrating on its effectiveness in wastewater treatment, CO2bioremediation, and the production of biofuels and high-value products. The review evaluates the effects of light,solar irradiation, temperature, nitrogen and phosphorus concentrations in culture media, CO2concentrations, and pH on microalgae growth performance, including specific growth and biomass productivity. The study also examines open systems like unstirred ponds, raceway ponds, and circular ponds and closed systems like horizontal tubular, vertical bubble-column, airlift, flat panel, and plastic-bag photobioreactors, comparing their pros and cons. To optimize microalgae cultivation, key factors in photobioreactor design, including photosynthetic efficiencies, light/dark（L/D） cycles, CO2concentrations, mass transfer, hydrodynamics behavior, and p H, are extensively investigated. In addition, the review outlines recent developments in large-scale photobioreactors and highlights the challenges and opportunities associated with photobioreactor scale-up and design parameter optimization, including genetic engineering and economic feasibility. This article is a vital resource for researchers, engineers, and industry professionals seeking sustainable bioprocesses and the application of microalgae-based technol

关键词： Microalgae biomass CO 2 biofixation Wastewater treatment Biofuel Photobioreactors

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