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Modern Mobile Malware Detection Framework Using Machine Learning and Random Forest Algorithm

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Computer Systems Science & Engineering 2024年第5期48卷 1171-1191页

作者： Mohammad Ababneh Ayat Al-Droos ammar el-Hassan School of Computing Sciences Princess Sumaya University for TechnologyAmman11941Jordan

With the high level of proliferation of connected mobile devices,the risk of intrusion becomes *** Intelligence(AI)and Machine Learning(ML)algorithms started to feature in protection software and showed effective *** algorithms are nonetheless hindered by the lack of rich datasets and compounded by the appearance of new categories of malware such that the race between attackers’malware,especially with the assistance of Artificial Intelligence tools and protection solutions makes these systems and frameworks lose effectiveness *** this article,we present a framework for mobile malware detection based on a new dataset containing new categories of mobile *** focus on categories of malware that were not tested before by Machine Learning algorithms proven effective in malware *** carefully select an optimal number of features,do necessary preprocessing,and then apply Machine Learning algorithms to discover malicious code *** our experiments,we have found that the Random Forest algorithm is the best-performing algorithm with such mobile malware with detection rates of around 99%.We compared our results from this work and found that they are aligned well with our previous *** also compared our work with State-of-the-Art works of others and found that the results are very close and competitive.

关键词： Android malware detect prevent artificial intelligence machine learning mobile CICMalDroid2020 CCCSCIC-AndMal-2020

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 Hygrothermal Behavior of Bio-Sourced Material Treated Ecologically for Improving Thermal Performance of Buildings

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Journal of Renewable Materials 2024年第5期12卷 1007-1027页

作者： Soumia Mounir Miloudia Slaoui Youssef Maaloufa Fatima Zohra el Wardi Yakubu Aminu Dodo sara Ibn-elhaj Abdelhamid Khabbazi National School of Architecture Agadir New Complex Ibn Zohr AgadirHay dakhla80000Morocco EMDD CERNE2DUniversity Mohammed V in RabatEst SaléSaléMedinaMorocco Physics Department LPMAT LaboratoryFaculty of Sciences Ain ChockHassan II UniversityCasablancaMorocco Architectural Engineering Department College of Engineering Najran UniversityNajran66426Saudi Arabia The Centre of Scientific and Engineering Research Najran UniversityNajranSaudi Arabia

Creating sustainable cities is the only way to live in a clean environment,and this problem can be solved by using bio-sourced and recycled *** this purpose,the authors contribute to the valuation of sheep wool waste as an eco-friendly material to be used in *** paper investigates the thermal,hygrothermal,and biological aspects of sheep wool by testing a traditional *** biological method of aerobic mesophilicﬂora has been *** X was used to determine the chemical composition of the materials ***,thermal characterization has been *** thermal conductivity is above 0.046(W·m^(-1)·K^(-1))and the thermal diffusivity is 1.56.10^(-6) m^(2)·s^(-1).Besides,the energy efﬁciency of using sheep wool in buildings was ***,its humidity behavior was evaluated in different aspects in both winter and *** of biological analyses show the efﬁciency of the treatment by removing the majority of the microorgan-isms:the value of yeast and mildew was reduced from 38.10^(2) to 2.10^(2)(UFC·g^(-1)).In addition to that,sheep wool permits obtaining a low thermal transmittance on the scale of the walls and low cooling needs on the scale of the building with a gain of 45%and 52%,respectively.

关键词： Sustainability sheep wool biological treatment hygrothermal wool behavior hot wire method

Thermo-Physical Potential of Recycled Banana Fibers for Improving the Thermal and Mechanical Properties of Biosourced Gypsum-Based Materials

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Journal of Renewable Materials 2024年第4期12卷 843-867页

作者： Youssef Maaloufa Soumia Mounir sara Ibnelhaj Fatima Zohra el Wardi Asma Souidi Yakubu Aminu Dodo Malika Atigui Mina Amazal Abelhamid Khabbazi Hassan Demrati Ahmed Aharoune National School of Architecture Agadir New ComplexIbn Zohr UniversityAgadirMorocco Energy Materials and Sustainable Development(EMDD)Center for WaterNatural ResourcesEnvironment and Sustainable Development(CERNE2D)Mohammed V UniversityRabatMorocco Thermodynamics and Energetics Laboratory Faculty of ScienceIbn Zohr UniversityAgadirMorocco Architectural Engineering Department Najran UniversityNajranSaudi Arabia The Centre of Scientific and Engineering Research Najran UniversityNajranSaudi Arabia Physics Department LPMAT LaboratoryFaculty of Sciences Ain ChockHassan II UniversityCasablancaMorocco

The development of bio-sourced materials is essential to ensuring sustainable construction;it is considered a locomotive of the green ***,it is an abundant material in our country,to which very little attention is being *** work aims to valorize the waste of the trunks of banana trees to be used in ***,the physicochemical properties of the fiber,such as the percentage of crystallization and its morphology,have been determined by X-ray diffraction tests and scanning electron microscopy to confirm the potential and the impact of the mode of drying on the quality of the banana fibers,with the purpose to promote the use of this material in ***,the results obtained with the gypsum matrix allowed us to note a preponderant improvement in the composite’s thermal properties thanks to the variation of the banana fiber ***,the impact of the nature of the banana fiber distribution(either fiber mixed in matrix or fiber series model)on the flexural and compressive strengths of the composites was *** results obtained indicate that the insulation gain reaches up to 40%.It depends on the volume fraction and type of distribution of the banana ***,the thermal inertia of the composites developed,represented by thermal diffusivity and thermal effusivity,was *** indicate a gain of 40%and 25%,respectively,in terms of thermal diffusivity and thermal effusivity of the developed composites compared to plaster *** the mechanical properties,the flexural strength depends on the percentage of the volume fraction of banana fibers used,and it can reach 20%more than the flexural strength of plaster;nevertheless,there is a significant loss in terms of the compressive strength of the studied *** results obtained are confirmed by the microstructure of the fiber *** fact,the morphology of the banana fibers was improved by the drying *** reduces the amorphous area an

关键词： Biosourced materials fiber banana flexural strength mechanical properties open-air drying plaster thermal properties waste management

Primary Hyperoxaluria Type 1 in Adulthood: Case Series

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Open Journal of Nephrology 2024年第3期14卷 350-360页

作者： sara el Maakoul Nada el Kadiri Nabil Hmaidouch Salma Belmokadem Loubna Benamar Tarik Bouattar Naima Ouzeddoun Department of Nephrology Dialysis Renal Transplantation Ibn Sina University Hospital-Rabat Rabat Morocco Faculty of Medicine and Pharmacy Mohammed V University Rabat Morocco

Introduction: Primary hyperoxaluria type 1 (HP1) is a rare lithiasis with systemic involvement, due to the accumulation of calcium oxalate crystals. In the absence of therapeutic management, it progresses to end-stage chronic renal failure. The aim of this study is to describe and analyse the observations of our patients with HP1. Patients and methods: This is a retrospective study carried out between 2014 and 2023 in the Nephrology-Dialysis Transplant Department of the Ibn Sina University Hospital in Rabat. The clinical, paraclinical and evolutionary elements were taken from the patients’ medical records. Results: We collected 11 cases, with a mean age of 27 ± 8.5 years and a M/F sex ratio of 1.7. The diagnosis of HP1 was made on the basis of genetic analysis in 8 patients, morphological and spectro-photometric analysis of the calculus in one patient, biopsy of the graft in one patient and crystalluria and a family history of PH1 in one patient. Two patients died, and 8 patients were on chronic haemdialysis with systemic damage. Only one patient maintained a stable GFR at 60 ml/min. Conclusion: Early diagnosis combined with conservative treatment is the only way to limit the rapid progression of this disease. This requires awareness and collaboration between nephrologists, urologists and biologists within a specialised team.

关键词： Primary Hyperoxaluria Adulthood Kidney Disease

The Beneficial Effects of Components of Garlic (Allium sativum L.) in the Poultry Industry

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Food and Nutrition Sciences 2024年第1期15卷 27-57页

作者： Alejandra Meza-Rios Gilberto Velazquez-Juarez Inkar Castellanos-Huerta Rocio Ivette Lopez-Roa Luis A. Anguiano-Sevilla Xochitl Hernanez-Velasco Xochitl Hernanez-Velasco Saeed el-Ashram Ebtsam Al-Olayan Billy Hargis Guillermo Tellez-Isaias Adelaida sara Minia Zepeda-Morales Departamento de Farmacobiología CUCEI Universidad de Guadalajara Blvd. M. García Barragán Guadalajara México Laboratorio de Análisis Fisicoquímicos Externos Departamento de Química CUCEI Universidad de Guadalajara Boulevard Marcelino García Barragán Guadalajara México Center of Excellence for Poultry Science Department of Poultry Science Dale Bumpers College of Agricultural Food and Life Sciences University of Arkansas Cumberland United States Laboratorio de Investigación y Desarrollo Farmacéutico Departamento de Farmacobiología CUCEI Universidad de Guadalajara Boulevard Marcelino García Barragán Guadalajara México Departamento de Medicina y Zootecnia de Aves Facultad de Medicina Veterinaria y Zootecnia UNAM Mexico Mexico Zoology Department Faculty of Science Kafrelsheikh University Kafr El-Sheikh Egypt Department of Zoology College of Science King Saud University Riyadh Saudi Arabia Laboratorio de Análisis Clínicos y Bacteriológicos (vinculación) Departamento de Farmacobiología CUCEI Universidad de Guadalajara Boulevard Marcelino García Barragán Guadalajara México

Plant-based antimicrobial agents are readily available, cost-effective, and exhibit low toxicity, making them promising alternatives in combatting microbial infections. Among these plants, garlic (Allium sativum) stands out for its traditional medicinal use in effectively combating various microorganisms. In the poultry industry, preventing avian virus and bacterial infections is paramount for chicken husbandry. However, using conventional drugs poses potential risks to human health. Garlic, a widely used Asian plant in traditional medicine for various pathologies, has shown potential as an herbal prophylactic remedy against viral and bacterial infections. Recently, researchers explored garlic and its derivatives as a scientific strategy in veterinary practices for diverse purposes, such as improving poultry production characteristics and acting as antibiotic growth promoters. This comprehensive review delves into garlic and its derivatives as preventive and corrective treatments for viral diseases in laying hens and broilers. The paper highlights their potential effectiveness and safety as a natural means to enhance poultry health and welfare while mitigating the risks associated with conventional drug usage in the food industry.

关键词： Garlic Antiviral Veterinary Chickens Allium sativum

Artificial visual perception neural system using a solution-processable MoS_(2)-based in-memory light sensor

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光:科学与应用(英文版) 2023年第8期12卷 1583-1594页

作者： Dayanand Kumar Lana Joharji Hanrui Li Ayman Rezk ammar Nayfeh Nazek el-Atab Smart Advanced Memory Devices and Applications(SAMA)LaboratoryElectrical and Computer Engineering ProgramComputer Electrical Mathematical Science and Engineering DivisionKing Abdullah University of Science and Technology(KAUST)Thuwal 23955Kingdom of Saudi Arabia Department of electrical Engineering and Computer Science Khalifa UniversityAbu Dhabi 127788United Arab Emirates

Optoelectronic devices are advantageous in in-memory light sensing for visual information processing,recognition,and storage in an energy-efficient ***,in-memory light sensors have been proposed to improve the energy,area,and time efficiencies of neuromorphic computing *** study is primarily focused on the development of a single sensing-storage-processing node based on a two-terminal solution-processable MoS2 metal-oxide-semiconductor(MOS)charge-trapping memory structure—the basic structure for charge-coupled devices(CCD)—and showing its suitability for in-memory light sensing and artificial visual *** memory window of the device increased from 2.8 V to more than 6V when the device was irradiated with optical lights of different wavelengths during the program ***,the charge retention capability of the device at a high temperature(100 ℃)was enhanced from 36 to 64%when exposed to a light wavelength of 400 *** larger shift in the threshold voltage with an increasing operating voltage confirmed that more charges were trapped at the Al_(2)O_(3)/MoS_(2) interface and in the MoS_(2) layer.A small convolutional neural network was proposed to measure the optical sensing and electrical programming abilities of the *** array simulation received optical images transmitted using a blue light wavelength and performed inference computation to process and recognize the images with 91%*** study is a significant step toward the development of optoelectronic MOS memory devices for neuromorphic visual perception,adaptive parallel processing networks for in-memory light sensing,and smart CCD cameras with artificial visual perception capabilities.

关键词： visual neural process

Preliminary Palynostratigraphic Data on the Middle Albian-Lower Cenomanian of the Tarfaya Basin, Southwest Morocco

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Open Journal of Geology 2024年第4期14卷 548-568页

作者： Khaoula Chafai Touria Hssaida Wafaa Maatouf Mohamed Z. Yousfi sara Chakir Soukaina Jaydawi Hanane Khaffou Department of Geology Faculty of Sciences Ben M&#8217Sik University Hassan II Casablanca Morocco Department of Petroleum Laboratory Office National des Hydrocarbures et des Mines Rabat Morocco Department of Geology Faculty of Sciences Dhar El Mahraz Sidi Mohamed Ben Abdellah University Fes Morocco Department of Geology Faculty of Sciences Mohammed V University Rabat Morocco

The Tarfaya-Laayoune-Boujdour basin is of great interest to oil exploration;on this aspect, there has been exploration by the Moroccan National Office of Hydrocarbons and Mining, which has shown indices of oil and/or gas recorded in most wells drilled in the Moroccan Atlantic margin. FD-1 well, object of this study, is one of these wells located in the offshore Tarfaya-Laayoune-Boujdour basin. A palynological examination of the processed samples revealed the existence of organic palynomorphs, well conserved and rich in dinoflagellate cysts. The latter are composed of worldwide marker taxa of high stratigraphic resolutions. Thus, the middle upper Albian (3408 - 3408.5 m) is determined by the presence of Cribroperidinium tensiftense, Tehamadinium coummia, Spiniferella cornuta, Chichaouadinium vestitum, Dinopterygium alatum and Litosphaeridium arundum. The upper Albian (3406.5 - 3408 m) is characterized by the FOs of marker taxa: Cyclonephelium chabaca, Cribroperidinium auctificum and Chichaouadinium vestitum. Lastly, the upper Albian-lower Cenomanian transition is defined between 3404 m and 3406.50 m, as suggested by the FOs of Chichaouadinium boydii, Dinopterygium tuberculatum, Sepispinula ancorifera, Litosphaeridium conispinum, Prolixosphaeridium conulum and Xenascus ceratioides.

关键词： Morocco Tarfaya-Laayoune-Boujdour Basin Albian-Cenomanian Transition Dinoflagellate Cysts Palynostratigraphy

GaitDONet: Gait Recognition Using Deep Features Optimization and Neural Network

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Computers, Materials & Continua 2023年第6期75卷 5087-5103页

作者： Muhammad Attique Khan Awais Khan Majed Alhaisoni Abdullah Alqahtani ammar Armghan sara A.Althubiti Fayadh Alenezi Senghour Mey Yunyoung Nam Department of Computer Science HITEC UniversityTaxilaPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of electrical Engineering College of EngineeringJouf UniversitySakaka 72388Saudi Arabia Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of ICT Convergence Soonchunhyang UniversityKorea

Human gait recognition(HGR)is the process of identifying a sub-ject(human)based on their walking *** subject is a unique walking pattern and cannot be simulated by other ***,gait recognition is not easy and makes the system difficult if any object is carried by a subject,such as a bag or *** article proposes an automated architecture based on deep features optimization for *** our knowledge,it is the first architecture in which features are fused using multiset canonical correlation analysis(MCCA).In the proposed method,original video frames are processed for all 11 selected angles of the CASIA B dataset and utilized to train two fine-tuned deep learning models such as Squeezenet and *** transfer learning was used to train both fine-tuned models on selected angles,yielding two new targeted models that were later used for feature *** are extracted from the deep layer of both fine-tuned models and fused into one vector using *** improved manta ray foraging optimization algorithm is also proposed to select the best features from the fused feature matrix and classified using a narrow neural network *** experimental process was conducted on all 11 angles of the large multi-view gait dataset(CASIA B)dataset and obtained improved accuracy than the state-of-the-art ***,a detailed confidence interval based analysis also shows the effectiveness of the proposed architecture for HGR.

关键词： Human gait recognition biometric deep learning features fusion optimization neural network