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Surface Weather Parameters Forecasting Using Analog Ensemble Method over the Main Airports of Morocco

Journal of Meteorological Research 2022年第6期36卷 866-881页

作者： Badreddine ALAOUI driss bari Yamna GHABBAR Direction Generale de la Meteorologie Centre National de Recherches Meteorologique(CNRM)Casablanca BP 8106Morocco Department of Mathematics Computer Sciences and GeomaticsHassania School for Public WorksCasablanca P.O.Box 8108Morocco

Surface weather parameters detain high socioeconomic impact and strategic insights for all users,in all domains(aviation,marine traffic,agriculture,etc.).However,those parameters were mainly predicted by using deterministic numerical weather prediction(NWP)models that include a wealth of *** purpose of this study is to contribute in improving low-cost computationally ensemble forecasting of those parameters using analog ensemble method(AnEn)and comparing it to the operational mesoscale deterministic model(AROME)all over the main airports of Morocco using 5-yr period(2016-2020)of hourly *** analog for a given station and forecast lead time is a past prediction,from the same model that has similar values for selected predictors of the current model *** analogs verifying observations form AnEn ensemble *** picture seasonal dependency,two configurations were set;a basic configuration where analogs may come from any past date and a restricted configuration where analogs should belong to a day window around the target ***,a new predictors weighting strategy is developed by using machine learning techniques(linear regression,random forest,and XGBoost).This approach is expected to accomplish both the selection of relevant predictors as well as finding their optimal weights,and hence preserve physical meaning and correlations of the used weather *** analysis shows that the developed AnEn system exhibits a good statistical consistency and it significantly improves the deterministic forecast performance temporally and spatially by up to 50%for Bias(mean error)and 30%for RMSE(root-mean-square error)at most of the *** improvement varies as a function of lead times and seasons compared to the AROME model and to the basic AnEn *** results show also that AnEn performance is geographically dependent where a slight worsening is found for some airports.

关键词： analog ensemble machine learning surface weather parameters ensemble forecasting AROME(Applications de la Rechercheàl’OpérationnelàMéso-Echelle) predictors weighting strategy

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Optimal rejection of bounded perturbations in linear leader-following consensus protocol: invariant ellipsoid method

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Science China(Information Sciences) 2024年第8期67卷 24-34页

作者： Siyuan WANG Andrey POLYAKOV Min LI Gang ZHENG driss BOUTAT INSA Centre Val de Loire INRIA

The objective of the invariant ellipsoid method is to minimize the smallest invariant and attractive set of a linear control system operating under the influence of bounded external disturbances. This study extends the application of this method to address the leader-following consensus problem. Initially, a linear control protocol is designed for the multi-agent system in the absence of disturbances. Subsequently, in the presence of bounded disturbances, by employing a similar linear control protocol, a necessary and sufficient condition is introduced to derive the optimal control parameters for the multi-agent system such that the state of followers converges to and remains in a minimal invariant ellipsoid around the state of the leader.

关键词： disturbance invariant ellipsoid leader-following consensus multi-agent system

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A novel medical image data protection scheme for smart healthcare system

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 821-836页

作者： Mujeeb Ur Rehman Arslan Shafique Muhammad Shahbaz Khan Maha driss Wadii Boulila Yazeed Yasin Ghadi Suresh Babu Changalasetty Majed Alhaisoni Jawad Ahmad School of Computer Science and Informatics Cyber Technology InstituteDe Montfort UniversityLeicesterUK Department of Biomedical Engineering University of GlasgowGlasgowUK School of Computing Engineering and the Built EnvironmentEdinburgh Napier UniversityEdinburghUK Robotics and Internet‐of‐Things Laboratory Prince Sultan UniversityRiyadhSaudi Arabia Department of Computer Science Al Ain UniversityAl AinUnited Arab Emirates Department of Computer Engineering College of Computer Science King Khalid UniversityAbhaSaudi Arabia Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia

The Internet of Multimedia Things(IoMT)refers to a network of interconnected multimedia devices that communicate with each other over the ***,smart healthcare has emerged as a significant application of the IoMT,particularly in the context of knowledge‐based learning *** healthcare systems leverage knowledge‐based learning to become more context‐aware,adaptable,and auditable while maintain-ing the ability to learn from historical *** smart healthcare systems,devices capture images,such as X‐rays,Magnetic Resonance *** security and integrity of these images are crucial for the databases used in knowledge‐based learning systems to foster structured decision‐making and enhance the learning abilities of ***,in knowledge‐driven systems,the storage and transmission of HD medical images exert a burden on the limited bandwidth of the communication channel,leading to data trans-mission *** address the security and latency concerns,this paper presents a lightweight medical image encryption scheme utilising bit‐plane decomposition and chaos *** results of the experiment yield entropy,energy,and correlation values of 7.999,0.0156,and 0.0001,*** validates the effectiveness of the encryption system proposed in this paper,which offers high‐quality encryption,a large key space,key sensitivity,and resistance to statistical attacks.

关键词： data analysis medical image processing security

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Stabilization of an axially moving tape system with boundary disturbances via the ADRC approach

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Control Theory and Technology 2022年第3期20卷 349-360页

作者： My driss Aouragh Mohamed Nahli Maths Department AM2CSI GroupMSISI LaboratoryFST ErrachidiaMoulay Ismail University of MeknesPO.BOX 509 BoutalamineErrachidia52000Drâa-TafilaletMorocco AM2CSI Group MSISI LaboratoryFST ErrachidiaMoulay Ismail University of MeknesPO.BOX 509 BoutalamineErrachidia52000Drâa-TafilaletMorocco

In this paper,the boundary stabilization problem of an axially moving tape system is *** tape moves between two sets of rollers,where the right roller is fixed and the left roller,with its mass taken into account,is free to move,rotate,and subject to external *** active disturbance rejection control approach is adopted in the ***,extended state observers are designed to estimate the disturbances,and then,feedback controllers are proposed to cancel the effect of the *** well-posedness of the closed-loop system is proved by the semigroup ***,the exponential stability is achieved by constructing a suitable Lyapunov ***,numerical simulations are given to support these results.

关键词： Axially moving beam Hybrid system Active disturbance rejection control Boundary disturbances Exponential stabilization

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Editorial comment:a review on radiofrequency,microwave and high-intensity focused ultrasound ablations for hepatocellular carcinoma with cirrhosis

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Hepatobiliary Surgery and Nutrition 2022年第3期11卷 453-456页

作者： Merve Ozen driss Raissi Division of Vascular and Interventional Radiology Department of RadiologyUniversity of KentuckyLexingtonKYUSA

We read with great interest the article by Cheung et al.(1)recently published in Hepatobiliary Surgery and Nutrition,presenting a narrative review of various ablation systems for hepatocellular carcinoma(HCC)in cirrhotic *** would like to provide several *** would first like to offer our congratulations to the authors for their review,which extensively discusses radiofrequency(RFA),high-intensity focused ultrasound(HIFU),and microwave ablation(MWA)ablation *** review is a succinct summary to better understand the utility of various ablation techniques used in HCC treatment(1).

关键词： Surgery hepatocellular

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Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms

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Computers, Materials & Continua 2022年第9期72卷 5681-5697页

作者： Mujeeb Ur Rehman Maha driss Abdukodir Khakimov Sohail Khalid Department of Electrical Engineering Riphah International UniversityIslamabad44000Pakistan Security Engineering Lab Prince Sultan UniversityRiyadh12435Saudi Arabia RIADI Laboratory National School of Computer ScienceUniversity of ManoubaManouba2010Tunisia Peoples’Friendship University of Russia(RUDN University) Moscow117198Russia

Lungs are a vital human body organ,and different Obstructive Lung Diseases(OLD)such as asthma,bronchitis,or lung cancer are caused by shortcomings within the ***,early diagnosis of OLD is crucial for such patients suffering from OLD since,after early diagnosis,breathing exercises and medical precautions can effectively improve their health state.A secure non-invasive early diagnosis of OLD is a primordial need,and in this context,digital image processing supported by Artificial Intelligence(AI)techniques is reliable and widely used in the medical field,especially for improving early disease ***,this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris *** research work implements different machine-learning-based techniques which classify various subjects,which are healthy and effective *** iris features include gray-level run-length matrix-based features,gray-level co-occurrence matrix,and statistical *** features are extracted from iris ***,ten different classifiers and voting techniques,including hard and soft voting,are implemented and tested,and their performances are evaluated using several parameters,which are precision,accuracy,specificity,F-score,and *** on the statistical analysis,it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.

关键词： Obstructive lung disease non-invasive diagnosis machine learning physiological features voting techniques

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Artificial intelligence and remote sensing for spatial prediction of daily air temperature:case study of Souss watershed of Morocco

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Geo-Spatial Information Science 2022年第2期25卷 244-258页

作者： Modeste Meliho Abdellatif Khattabi driss Zejli Collins Ashianga Orlando Caleb E.Dansou Ecole Nationale des Sciences Appliquées Kénitra-Laboratoire Ingénierie des Systèmes Avancés(ISA) UniversitéIbn TofailKenitraMorocco Ecole Nationale Forestière d’Ingénieurs SaléMorocco Ecole Nationale des Sciences Appliquées Kénitra-Laboratoire Ingénierie des Systèmes Avancés(ISA) SaléMorocco Sciences de données École des sciences de l’information(ESI)RabatMorocco

Air temperature(Tair)is a fundamental variable in climate research and climate impact *** field observations do not accurately capture its spatial distribution due to the sparse and uneven distribution of weather stations,especially in remote areas where the local variability is *** circumvent this problem,in this study,remote sensing and weather station data were used to estimate Tair in the Souss watershed in *** statistical methods,including linear regression and partial least squares(PLS),and four machine learning algorithms,namely k-nearest neighbors,random forest(RF),extreme gradient boost,and Cubist,were used for modeling and predicting Tair and its performance were evaluated using random subsets and *** resolution imaging spectroradiometer predictors,including Terra band 32 emissivity,Terra nighttime land surface temperature,Terra local time of night observation,Aqua band 31 emissivity,Aqua daytime land surface tempera-ture,and Aqua nighttime land surface temperature(ALSTN),and auxiliary inputs,including sky-view,elevation,slope,and hillshade,were used as inputs for *** results showed that the Cubist and RF were the most accurate models(RMSE=2.09°C and 2.13°C,R2=0.91 and 0.90,respectively),while PLS had the lowest predictive power(RMSE=2.71°C;R2=0.83).The overall performance of the models for estimating Tair in the study area was generally satisfac-tory,with RMSE limited to less than 3°C for all ***,the station data reliability was still an issue,with only four of the seven stations marked by complete meteorological data.

关键词： Air temperature remote sensing machine learning Morocco

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Application-Oriented Homogeneous Control Protocol Design for Multi-Agent Systems Under Input Constraints

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Guidance, Navigation and Control 2023年第3期3卷 89-109页

作者： Siyuan Wang Sandeep Kumar Soni Gang Zheng driss Boutat Department of Energy Risks and Environment INSA Centre Val de LoireBourges18000France Department of Electrical Engineering Shiv Nadar Institution of Eminence Delhi NCR201314India Defrost Centre Inria de l'Universite de Lille Villeneuve-d'Ascq59650France

An application-oriented homogeneous control protocol is proposed to solve the consensus problem of multi-agent system(MAS)modeled by higher-order *** nonlinear control protocol is able to homogenize the linear system with a special degree called homogeneity *** homogeneous control protocol ensures asymptotically/finite-time stable multi-agent systems(MASs)(or fixed-time attractive to compact sets containing the origin)by selecting di®erent homogeneity *** the linear control protocol for each agent is provided,the proposed nonlinear homogeneous control protocol in this paper can be easily implemented without requiring any tuning of the control parameters.A bounded homogeneous control protocol,which is a special form of the controller proposed,is also introduced to address the same problem with input ***,numerical simulations are conducted to demonstrate the e®ectiveness of the proposed approach.

关键词： Homogeneous system multi-agent input constraint

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Numerical and Experimental Study of the Impact of Key Parameters on a PVT Air Collector:Mass Flow Rate and Duct Depth

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Journal of Thermal Science 2021年第5期30卷 1625-1642页

作者： Ismail BAKLOUTI Zied driss National School of Engineers of Monastir University of Monastir5019MonastirTunisia Laboratory of Electromechanical Systems(LASEM) National School of Engineers of SfaxUniversity of Sfax3038SfaxTunisia

The PVT-air solar system simultaneously generates electrical and thermal ***,increasing the cost-effectiveness of the system requires an appropriate choice of key parameters such as mass flow rate and air channel *** this paper,a PVT-air kit of a single module with a 30°slope was used to measure photovoltaic electricity and air heating power in the city of Sfax,***,a computer method was implemented using the ANSYS Fluent 17.0 software and the MATLAB program to analyse the properties of the airflow and to characterise PVT-air yields under different mass flow rates and *** the comparison of numerical and experimental data,the numerical method was validated with a good ***,we have found that increasing of the airflow rate improves the thermal efficiency with a slight change on electrical ***,the reduction in depth shows an improvement on thermal efficiency and a negligible effect on electrical ***,we have presented the thermal and electrical performance of PVT-air as a function of the key parameters with the Hottel-Whillier-Bliss formulation.

关键词： solar energy PVT-air thermal experimental numerical performance

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Emotion Recognition from Occluded Facial Images Using Deep Ensemble Model

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Computers, Materials & Continua 2022年第12期73卷 4465-4487页

作者： Zia Ullah Muhammad Ismail Mohmand Sadaqat ur Rehman Muhammad Zubair Maha driss Wadii Boulila Rayan Sheikh Ibrahim Alwawi Department of Computer Science The Brains InstitutePeshawar25000Pakistan School of Natural and Computing Sciences University of AberdeenAberdeenUK Department of Neurosciences KU Leuven Medical SchoolLeuven3000Belgium Security Engineering Laboratory CCISPrince Sultan UniversityRiyadh12435Saudi Arabia Robotics and Internet of Things Lab Prince Sultan UniversityRiyadh12435Saudi Arabia Department of Computer Science Robert Gordon UniversityAberdeenUK

Facial expression recognition has been a hot topic for decades,but high intraclass variation makes it *** overcome intraclass variation for visual recognition,we introduce a novel fusion methodology,in which the proposed model first extract features followed by feature ***,RestNet-50,VGG-19,and Inception-V3 is used to ensure feature learning followed by feature ***,the three feature extraction models are utilized using Ensemble Learning techniques for final expression *** representation learnt by the proposed methodology is robust to occlusions and pose variations and offers promising *** evaluate the efficiency of the proposed model,we use two wild benchmark datasets Real-world Affective Faces Database(RAF-DB)and AffectNet for facial expression *** proposed model classifies the emotions into seven different categories namely:happiness,anger,fear,disgust,sadness,surprise,and ***,the performance of the proposed model is also compared with other algorithms focusing on the analysis of computational cost,convergence and accuracy based on a standard problem specific to classification applications.

关键词： Ensemble learning emotion recognition feature fusion occlusion

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