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Real-time Prediction of Urban traffic Problems Based on Artificial Intelligence-Enhanced Mobile Ad Hoc Networks(MANEts)

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Computers, Materials & Continua 2024年第5期79卷 1903-1923页

作者： ahmed Alhussen Arshiya s.Ansari Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Information technology College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

traffic in today’s cities is a serious problem that increases travel times,negatively affects the environment,and drains financial *** study presents an Artificial Intelligence(AI)augmentedMobile Ad Hoc Networks(MANEts)based real-time prediction paradigm for urban traffic *** are wireless networks that are based on mobile devices and may *** distributed nature of MANEts and the power of AI approaches are leveraged in this framework to provide reliable and timely traffic congestion *** study suggests a unique Chaotic spatial Fuzzy Polynomial Neural Network(CsFPNN)technique to assess real-time data acquired from various sources within *** framework uses the proposed approach to learn from the data and create predictionmodels to detect possible traffic problems and their severity in real ***-time traffic prediction allows for proactive actions like resource allocation,dynamic route advice,and traffic signal optimization to reduce *** framework supports effective decision-making,decreases travel time,lowers fuel use,and enhances overall urban mobility by giving timely information to pedestrians,drivers,and urban *** simulations and real-world datasets are used to test the proposed framework’s prediction accuracy,responsiveness,and *** results show that the suggested framework successfully anticipates urban traffic issues in real-time,enables proactive traffic management,and aids in creating smarter,more sustainable cities.

关键词： Mobile AdHocNetworks(MANEt) urban traffic prediction artificial intelligence(AI) traffic congestion chaotic spatial fuzzy polynomial neural network(CsFPNN)

Impacts of multiple demand-side management strategies on microgrids planning:a literature survey

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Clean Energy 2024年第1期8卷 36-54页

作者： Rasha Elazab ahmed t.Abdelnaby A.A.Ali Electrical Power and Machines Department Faculty of Engineering at Helwan UniversityCairoEgypt

Demand-side management(DsM)schemes play a crucial role in managing renewable energy generation and load fluctuations by uti-lizing demand-response programmes(DRPs).this paper aims to provide a detailed overview of DRPs that help microgrid operators to keep costs and reliability within acceptable ***,this review paper provides a detailed economic load model for DRPs based on initial load,demand-response(DR)incentive,DR penalty and elasticity *** article also aims to guide researchers in identifying research gaps in DsM applications in microgrids by comparing various DsM schemes from different countries and regions in terms of DsM strategies,objective functions and optimization ***,this study analyses the impact of DRPs on microgrid configuration from the perspective of utilities and customers,considering technical and economic performance *** a result,it can be concluded that none of the studied cases provides models or guidelines for choosing appropriate DsM schemes that consider different consumer interests or load-type ***,a few researchers have addressed the features of a modern price-based DR strategy,renewable generation-based dynamic pricing DR,which offers higher customer satisfaction than traditional DRPs.

关键词： demand-side management optimal sizing demand-response strategies renewable generation-based dynamic pricing

Impact of demand growth on the capacity of long-duration energy storage under deep decarbonization

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Clean Energy 2024年第4期8卷 237-247页

作者： sara Ashfaq Ilyass El Myasse Daming Zhang ahmed s.Musleh Carnegie Institution Stanford UniversityStanfordCAUSA Electric Power Research Institute(EPRI) Palo AltoCAUSA EEIs Laboratory ENSET MohammediaHassan II UniversityCasablancaMorocco school of Electrical Engineering and telecommunications University of New South WalesSydneyAustralia

the weather-dependent uncertainty of wind and solar power generation presents a challenge to the balancing of power generation and demand in highly renewable electricity *** energy storage can provide flexibility to firm up the variability of renewables and to respond to the increased load demand under decarbonization *** paper explores how the battery energy storage capacity requirement for compressed-air energy storage(CAEs)will grow as the load demand *** we used an idealized lowest-cost optimization model to study the response of highly renewable electricity systems to the increasing load demand of California under deep *** show that providing bulk CAEs to the zero-emission power system offers substantial benefits,but it cannot fully compensate for the 100%variability of highly renewable power *** capacity requirement of CAEs increases by≤33.3%with a 1.5 times increase in the load demand and by≤50%with a two-times increase in the load *** this analysis,a zero-emission electricity system operating at current costs becomes more cost-effective when there is firm power *** least competitive nuclear option plays this role and reduces system costs by 16.4%,curtails the annual main node by 36.8%,and decreases the CAEs capacity requirements by≤80.7%in the case of a double-load *** CAEs has potential in addressing renewable variability,its widespread deployment is constrained by geographical,societal,and economic fac***,if California is aiming for an energy system that is reliant on wind and solar power,then an additional dispatchable power source other than CAEs or similar load flexibility is *** fully harness the benefits of bulk CAEs,the development and implementation of cost-effective approaches are crucial in significantly reducing system costs.

关键词： compressed-air energy storage deep decarbonization macro-energy modelling load growth renewable energy

study of scalar particles through the Klein–Gordon equation under rainbow gravity effects in Bonnor–Melvin-Lambda space-time

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Communications in theoretical Physics 2024年第4期76卷 113-125页

作者： Faizuddin ahmed Abdelmalek Bouzenada Department of Physics University of Science&Technology MeghalayaRi-Bhoi793101India Laboratory of theoretical and applied Physics Echahid Cheikh Larbi Tebessi UniversityAlgeria

In our investigation,we explore the quantum dynamics of charge-free scalar particles through the Klein–Gordon equation within the framework of rainbow gravity,considering the Bonnor–Melvin-Lambda(BML)space-time *** BML solution is characterized by the magnetic field strength along the axis of the symmetry direction which is related to the cosmological constantΛand the topological parameterαof the *** behavior of charge-free scalar particles described by the Klein–Gordon equation is investigated,utilizing two sets of rainbow functions:(i)f(χ)=■,h(χ)=1 and(ii)f(χ)=1,h(χ)=1+βХ/*** 0th E representing the particle's energy,Ep is the Planck's energy,andβis the rainbow *** obtain the approximate analytical solutions for the scalar particles and conduct a thorough analysis of the obtained ***,we study the quantum dynamics of quantum oscillator fields within this BML space-time,employing the Klein–Gordon *** also,we choose the same sets of rainbow functions and obtain the approximate eigenvalue solution for the oscillator ***,we demonstrate that the relativistic approximate energy profiles of charge-free scalar particles and oscillator fields get influenced by the topology of the geometry and the cosmological ***,we show that the energy profiles of scalar particles receive modifications from the rainbow parameter and the quantum oscillator fields by both the rainbow parameter and the frequency of oscillation.

关键词： quantum fields in curved space-time relativistic wave equations solutions of wave equations bound-state special functions

transparent and Accurate COVID-19 Diagnosis:Integrating Explainable AI with Advanced Deep Learning in Ct Imaging

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Computer Modeling in Engineering & sciences 2024年第6期139卷 3101-3123页

作者： Mohammad Mehedi Hassan salman A.AlQahtani Mabrook s.AlRakhami ahmed Zohier Elhendi Department of Information systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia science technology and Innovation Department King Saud UniversityRiyadh11543Saudi Arabia

In the current landscape of the COVID-19 pandemic,the utilization of deep learning in medical imaging,especially in chest computed tomography(Ct)scan analysis for virus detection,has become increasingly *** its potential,deep learning’s“black box”nature has been a major impediment to its broader acceptance in clinical environments,where transparency in decision-making is *** bridge this gap,our research integrates Explainable AI(XAI)techniques,specifically the Local Interpretable Model-Agnostic Explanations(LIME)method,with advanced deep learning *** integration forms a sophisticated and transparent framework for COVID-19 identification,enhancing the capability of standard Convolutional Neural Network(CNN)models through transfer learning and data *** approach leverages the refined DenseNet201 architecture for superior feature extraction and employs data augmentation strategies to foster robust model *** pivotal element of our methodology is the use of LIME,which demystifies the AI decision-making process,providing clinicians with clear,interpretable insights into the AI’s *** unique combination of an optimized Deep Neural Network(DNN)with LIME not only elevates the precision in detecting COVID-19 cases but also equips healthcare professionals with a deeper understanding of the diagnostic *** method,validated on the sARs-COV-2 Ct-scan dataset,demonstrates exceptional diagnostic accuracy,with performance metrics that reinforce its potential for seamless integration into modern healthcare *** innovative approach marks a significant advancement in creating explainable and trustworthy AI tools for medical decisionmaking in the ongoing battle against COVID-19.

关键词： Explainable AI COVID-19 Ct images deep learning

Exact and heuristic formulae to compute the geodetic height from the ellipse equation

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Geodesy and Geodynamics 2024年第2期15卷 150-155页

作者： Mohamed Eleiche ahmed Hamdi Mansi Construction Department Faculty of EngineeringEgyptian Russian UniversityCairoEgypt Istituto Nazionale di Geofisica e Vulcanologia Sezione di PisaPisaPlItaly

the conversion of the cartesian coordinates of a point to its geodetic equivalent coordinates in reference to the geodetic ellipsoid is one of the main challenges in *** ellipse equation in the meridian plane significantly influences the value of the geodetic *** research analyzes this influence and how it can contribute to their *** study investigates the mathematical relation between them and presents an exact formula relating to the geodetic height and the ellipse *** addition,a heuristic formula for the relation between the geodetic height and the ellipse equation is proposed,which is independent of the geodetic latitude and has a relative accuracy better than 99.9 %.the calculation is stable,and the cost is low.

关键词： Ellipse equation Geodetic height Heuristic geodetic height

3D static modeling and sequence stratigraphy using well logs and seismic data:An example of Abu Roash G member in Bahga oilfield

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Energy Geoscience

Energy Geoscience 2024年第3期5卷 362-377页

作者： Mohamed Reda Mohamed Fathy Mohamed Mosaad Fahad Alshehri Mohamed s.ahmed Geology Department Faculty of ScienceAl-Azhar UniversityP.O.Box 11884Nasr CityCairoEgypt Abdullah Alrushaid Chair for Earth science Remote sensing Research Geology and Geophysics DepartmentCollege of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

this research uses both three-dimensional(3D)modeling and geologic well control to piece back together the architectural parts of the Late Cretaceous *** goal is to figure out the sizes,directions,locations,and controls of the layers of the fluvial sandstone *** stratigraphy is essential for 3D reservoir modeling and petroleum geology understanding in the Bahga *** purpose of this work is to create a static model that shows the layers and facies distribution in the reservoir *** will use data from nine well logs and 22 seismic lines calibrated by the Abu Roash G Member reservoir core intervals to accomplish *** petrophysical study discovered three parts in the Abu Roash G Member reservoir rock:channel fill that is affected by tides,channel fill that is dominated by tides(intertidal sands),and channel top with lenticular bedded *** model's findings point to the existence of an NNW-oriented sand body,which could be a prime location to produce *** original oil in place(OOIP)is about 3,438,279 stock tank Barrels(stB),and the oil reserve reaches up to 1,031,484(stB).sequence stratigraphic analysis using seismic and well log information(sB)reveals that the Upper Cretaceous AR/G reservoir of the Bahga field is characterized by third-and fourth-order stratigraphic sequences,which are constrained by three Maximum Flooding surfaces(MFs)and two sequence *** integration of the derived geological model and sequence stratigraphic results can lower future extraction risk by identifying the locations and trends of the geologic facies with the necessary petrophysical properties for the hydrocarbon accumulations.

关键词： three-dimensional reservoir modeling sequence stratigraphy Reservoir characterization Abu Roash reservoir Abu Gharadig Basin

security Analysis in smart Agriculture: Insights from a Cyber-Physical system Application

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Computers, Materials & Continua 2024年第6期79卷 4781-4803页

作者： ahmed Redha Mahlous College of Computer and Information sciences Prince Sultan UniversityRiyadh11586Saudia Arabia

smart agriculture modifies traditional farming practices,and offers innovative approaches to boost production and sustainability by leveraging contemporary *** today’s world where technology is everything,these technologies are utilized to streamline regular tasks and procedures in agriculture,one of the largest and most significant industries in every *** research paper stands out from existing literature on smart agriculture security by providing a comprehensive analysis and examination of security issues within smart agriculture *** into three main sections-security analysis,system architecture and design and risk assessment of Cyber-Physical systems(CPs)applications-the study delves into various elements crucial for smart farming,such as data sources,infrastructure components,communication protocols,and the roles of different stakeholders such as farmers,agricultural scientists and researchers,technology providers,government agencies,consumers and many *** contrast to earlier research,this work analyzes the resilience of smart agriculture systems using approaches such as threat modeling,penetration testing,and vulnerability *** discoveries highlight the concerns connected to unsecured communication protocols,possible threats from malevolent actors,and vulnerabilities in Iot ***,the study suggests enhancements for CPs applications,such as strong access controls,intrusion detection systems,and encryption *** addition,risk assessment techniques are applied to prioritize mitigation tactics and detect potential hazards,addressing issues like data breaches,system outages,and automated farming process *** research sets itself apart even more by presenting a prototype CPs application that makes use of a digital temperature *** application was first created using a tinkercad simulator and then using actual hardware with Arduino *** CPs application’s defenses against p

关键词： smart agriculture cyber-physical system Iot security temperature sensor threats vulnerabilities

the Lambert-G Family:Properties,Inference,and Applications

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Computer Modeling in Engineering & sciences 2024年第7期140卷 513-536页

作者： Jamal N.Al Abbasi ahmed Z.Afify Badr Alnssyan Mustafa s.shama Accounting Department Ashur UniversityBaghdad10011Iraq Department of statistics Mathematics and InsuranceBenha UniversityBenha13511Egypt Department of Management Information systems and Production Management College of Business and EconomicsQassim UniversityBuraydah51452Saudi Arabia Department of Basic sciences Common First Year(CFY)King Saud UniversityRiyadh11362Saudi Arabia Department of Mathematics and statistics Osim Higher Institute of Administrative ScienceOsim12961Egypt

this study proposes a new flexible family of distributions called the Lambert-G *** Lambert family is very flexible and exhibits desirable *** three-parameter special sub-models provide all significantmonotonic and non-monotonic failure rates.A special sub-model of the Lambert family called the Lambert-Lomax(LL)distribution is *** expressions for the LL statistical properties are *** of the LL distribution are addressed mathematically based on its hazard *** estimation of the LL parameters is discussed using six estimation *** performance of this estimation method is explored through simulation *** usefulness and flexibility of the LL distribution are demonstrated empirically using two real-life data *** LL model better fits the exponentiated Lomax,inverse power Lomax,Lomax-Rayleigh,power Lomax,and Lomax distributions.

关键词： Lambert function Lomax distribution maximum likelihood hazard function statistical model simulation