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Sports Prediction model through Cloud Computing and Big Data Based on Artificial Intelligence method

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Journal of Intelligent Learning Systems and Applications 2024年第2期16卷 53-79页

作者： Aws I. Abu Eid Achraf Ben miled Ahlem Fatnassi majid A. Nawaz Ashraf F. A. mahmoud Faroug A. Abdalla Chams Jabnoun Aida Dhibi Firas m. Allan mohammed ahmed Elhossiny Salem Belhaj Imen Ben mohamed Faculty of Computing Studies Arab Open University Amman Jordan Computer Science Department Science College Northern Border University Arar Kingdom of Saudi Arabia Artificial Intelligence and Data Engineering Laboratory LR21ES23 Faculty of Sciences of Bizerte University of Carthage Tunis Tunisia Applied College Northern Border University Arar Kingdom of Saudi Arabia Faculty of Specific Education Mansoura University Mansoura Egypt

This article delves into the intricate relationship between big data, cloud computing, and artificial intelligence, shedding light on their fundamental attributes and interdependence. It explores the seamless amalgamation of AI methodologies within cloud computing and big data analytics, encompassing the development of a cloud computing framework built on the robust foundation of the Hadoop platform, enriched by AI learning algorithms. Additionally, it examines the creation of a predictive model empowered by tailored artificial intelligence techniques. Rigorous simulations are conducted to extract valuable insights, facilitating method evaluation and performance assessment, all within the dynamic Hadoop environment, thereby reaffirming the precision of the proposed approach. The results and analysis section reveals compelling findings derived from comprehensive simulations within the Hadoop environment. These outcomes demonstrate the efficacy of the Sport AI model (SAIm) framework in enhancing the accuracy of sports-related outcome predictions. Through meticulous mathematical analyses and performance assessments, integrating AI with big data emerges as a powerful tool for optimizing decision-making in sports. The discussion section extends the implications of these results, highlighting the potential for SAIm to revolutionize sports forecasting, strategic planning, and performance optimization for players and coaches. The combination of big data, cloud computing, and AI offers a promising avenue for future advancements in sports analytics. This research underscores the synergy between these technologies and paves the way for innovative approaches to sports-related decision-making and performance enhancement.

关键词： Artificial Intelligence machine Learning Spark Apache Big Data SAIm

Disturbance Evaluation in Power System Based on machine Learning

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Computers, materials & Continua 2022年第4期71卷 231-254页

作者： Emad m.ahmed mohamed A.ahmed Ziad m.Ali Imran Khan Department of Electrical Engineering College of EngineeringJouf UniversitySakaka72388Al-JoufSaudi Arabia Department of Electrical Engineering College of EngineeringPrince Sattam bin Abdulaziz UniversityWadi Addawaser11991Saudi Arabia Department of Electrical Engineering Aswan Faculty of EngineeringAswan UniversityAswan81542Egypt Department of Electrical Engineering University of Engineering and Technology PeshawarPakistan

The operation complexity of the distribution system increases as a large number of distributed generators(DG)and electric vehicles were introduced,resulting in higher demands for fast online reactive power *** a power system,the characteristic selection criteria for power quality disturbance classification are not *** classification effect and efficiency needs to be improved,as does the generalization *** order to categorize the quality in the power signal disturbance,this paper proposes a multi-layer severe learning computer auto-encoder to optimize the input weights and extract the characteristics of electric power quality ***,a multi-label classification algorithm based on rating is proposed to understand the relationship between the labels and identify the various power quality *** two algorithms are combined to construct a multi-label classification model based on a multi-level extreme learning machine,and the optimal network structure of the multi-level extreme learning machine as well as the optimal multi-label classification threshold are *** proposed method can be used to classify the single and compound power quality disturbances with improved classification effect,reliability,robustness,and anti-noise performance,according to the experimental *** hamming loss obtained by the proposed algorithm is about 0.17 whereas mL-RBF,SVm and mL-KNN schemes have 0.28,0.23 and 0.22 respectively at a noise intensity of 20 *** average precision obtained by the proposed algorithm 0.85 whereas the mL-RBF,SVm and mL-KNN schemes indicates 0.7,0.77 and 0.78 respectively.

关键词： Optimal power flow optimization algorithm deep learning power systems

Hilfer fractional neutral stochastic partial differential equations with delay driven by Rosenblatt process

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Journal of Control and Decision 2022年第2期9卷 226-243页

作者： Hamdy m.ahmed Higher Institute of Engineering El-Shorouk AcademyEI-Shorouk CityCairoEgypt

This manuscript is mainly focusing on the approximate controllability and the null controllability for fractional neutral stochastic partial differential equations with delay driven by Rosenblatt *** discuss the sufficient conditions for approximate controllability and null controllability for Hilfer fractional neutral stochastic partial differential equations driven by Rosenblatt ***,we provide two examples to verify the obtained results.

关键词： Hilfer fractional neutral stochastic integro-differential systems approximate controllability null controllability Rosenblatt process

Optimal Tuning of FOPID-Like Fuzzy Controller for High-Performance Fractional-Order Systems

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Computers, materials & Continua 2022年第1期70卷 171-180页

作者： ahmed m.Nassef Hegazy Rezk College of Engineering at Wadi Addawaser Prince Sattam Bin Abdulaziz UniversityAl-Kharj11911Saudi Arabia Department of Computers and Automatic Control Engineering Faculty of EngineeringTanta UniversityTanta31733Egypt Department of Electrical Engineering Faculty of EngineeringMinia UniversityMinia61517Egypt

This paper addresses improvements in fractional order(FO)system *** the classical proportional-integral-derivative(PID)-like fuzzy controller can provide adequate results for both transient and steady-state responses in both linear and nonlinear systems,the FOPID fuzzy controller has been proven to provide better *** high performance was obtained thanks to the combinative benefits of FO and fuzzy-logic *** paper describes how the optimal gains and FO parameters of the FOPID controller were obtained by the use of a modern optimizer,social spider optimization,in order to improve the response of fractional dynamical *** group of systems had usually produced multimodal error surfaces/functions that occasionally had many variant local *** integral time of absolute error(ITAE)used in this study was the error *** results showed that the strategy adopted produced superior performance regarding the lowest ITAE *** reached a value of 88.22 while the best value obtained in previous work was 98.87.A further comparison between the current work and previous studies concerning transient-analysis factors of the model’s response showed that the strategy proposed was the only one that was able to produce fast rise time,low-percentage overshoot,and very small steady-state ***,the other strategies were good for one factor,but not for the others.

关键词： Fuzzy-logic control fractional-order systems parameter estimation optimization

Cancellable multi-Biometric Feature Veins Template Generation Based on SHA-3 Hashing

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Computers, materials & Continua 2023年第1期74卷 733-749页

作者： Salwa m.Serag Eldin ahmed Sedik Sultan S.Alshamrani ahmed m.Ayoup Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Robotics and Intelligent machine Faculty of Artificial IntelligentKafrelsheikh UniversityEgypt Department of Information Technology College of Computer and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Electrical Communications Engineering Faculty of EngineeringMinia UniversityMinia61111Egypt

In this paper,a novel cancellable biometrics technique calledmulti-Biometric-Feature-Hashing(mBFH)is *** mBFH strategy is utilized to actualize a single direction(non-invertibility)biometric *** is a typical model security conspire that is distinguished in the utilization of this protection insurance framework in numerous sorts of biometric feature strategies(retina,palm print,Hand Dorsum,fingerprint).A more robust and accurate multilingual biological structure in expressing human loneliness requires a different format to record clients with inseparable comparisons from individual biographical *** may raise worries about their utilization and security when these spread out designs are subverted as everybody is acknowledged for another biometric *** proposed structure comprises of four sections:input multi-biometric acquisition,feature extraction,multi-Exposure Fusion(mEF)and secure hashing calculation(SHA-3).multimodal biometrics systems that are more powerful and precise in human-unmistakable evidence require various configurations to store a comparative customer that can be contrasted with biometric wellsprings of *** top words,biometrics graphs can’t be denied and change to another request for positive Identifications(IDs)while *** biometrics is may be the special procedure used to recognize this issue.

关键词： Feature extraction multi-biometrics SHA-3 mEF

GIS-based flash flooding susceptibility analysis and water management in arid mountain ranges:Safaga Region,Red Sea mountains,Egypt

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Journal of mountain Science 2023年第12期20卷 3665-3686页

作者： ahmed E.EL-RAYES mohamed O.ARNOUS ahmed m.HELmY Geology Department Faculty of ScienceSuez Canal UniversityIsmailia 41522Egypt Geology Department Faculty of ScienceArish UniversityArish 45511 North SinaiEgypt

The Safaga Region(SR)is part of the Red Sea mountain range in *** flash flooding is now an inescapable event,wreaking havoc and causing massive loss of life and *** majority of the floodwater,however,has been wasted as runoff to the Red Sea,which,if used wisely,could meet a fraction of the water demands for a variety of applications in this *** current work aims to use GIS techniques to integrate remote sensing data for evaluating,mitigating,and managing flash floods in *** data set comprised Tropical Rainfall measuring mission(TRmm)thematic rainfall data,1:50,000 scale topographical map sheets,geological maps,the ASTER Digital Elevation model(ASTER GDEm),Landsat 7 Enhanced Thematic mapper"(ETm7+),and Landsat 8 Operational Land *** flash flood risk model of SR is developed using ArcGIS-10.3 geoprocessing tools integrating all the causal factors thematic *** final flood risk model for the SR suggests that 57%of the total basins in the SR are at high risk of *** 38%of all basins are at moderate flood *** remaining 5%of basins are less prone to ***-prone zones were identified,suitable dam-building sites were located,and extremely probable areas for water recharge were *** the basis of reliable scientific data,structural and non-structural mitigation strategies that might reduce the damage susceptibility,alleviate the sensitivity of the flash flood,and best utilize its water supply were recommended.

关键词： Flash floods GIS Susceptibility Water management Arid mountains Egypt

Chemical and Thermal Characterization of Cement mortar Containing Ground Palm Oil Fuel Ash as a Partial Cement Replacement

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Journal of Wuhan University of Technology(materials Science) 2023年第3期38卷 575-581页

作者： SUmRA Yousuf PAYAm Shafigh IFTIKHAR ahmed Channa m Rizwan TANVEER ahmed Khan BELAL Alsubari mUSTABSHIRHA Gul l.Department of Building and Architectural Engineering Faculty of Engineering&TechnologyBahauddin Zakariya University60000 MultanPakistan Centre for Building Construction&Tropical Architecture(BuCTA)Faculty of Built EnvironmentUniversity of Malaya50603 Kuala LumpurMalaysia Department of metallurgical Engineering NED University of Engineering and Technology74200 KarachiPakistan Department of Civil Engineering Faculty of EngineeringMiami College of Henan UniversityKaifeng475001China Department of mechanical Engineering University of Malaya50603 Kuala LumpurMalaysia Department of mechanical Engineering Faculty of Engineering&TechnologyBahauddin Zakariya University60000 MultanPakistan

This study investigates the influence of using ground palm oil fuel ash(G-POFA) from 10%-30% as cement replacement(by weight) on the cement mortar's pH under various curing conditions. These findings were supplemented by thermal gravimetric analysis(TGA). moreover, the resistance of G-POFA blended cement mortars to water absorption and sorptivity was determined. Further, the k-value test was carried out to explain the pozzolanic and filler behavior of G-POFA and to support the results obtained from TGA. It was found that there was no significant impact of several curing conditions on the pH of mortars. The mortar with 10% G-POFA in replacement of cement(G-POFA-10) exhibited the best resistance against water absorption and sorptivity.

关键词： curing condition Ca(OH)_(2)content k-value pH palm oil fuel ash

Unified FPGA Design for the HEVC Dequantization and Inverse Transform modules

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Computers, materials & Continua 2022年第6期71卷 4319-4335页

作者： Turki m.Alanazi ahmed Ben Atitallah Department of Electrical Engineering Jouf UniversitySakakaAljouf2014Saudi Arabia

As the newest standard,the High Efficiency Video Coding(HEVC)is specially designed to minimize the bitrate for video data transfer and to support High Definition(HD)and ULTRA HD video resolutions at the cost of increasing computational complexity relative to earlier standards like the ***,real-time video decoding with HEVC decoder becomes a challenging ***,the Dequantization and Inverse Transform(DE/IT)are one of the computationally intensive modules in the HEVC decoder which are used to reconstruct the residual ***,in this paper,a unified hardware architecture is proposed to implement the HEVC DE/IT module for all Transform Unit(TU)block size,including 4×4,8×8,16×16 and 32×*** architecture is designed using the High-Level Synthesis(HLS)and the Low-Level Synthesis(LLS)methods in order to compare and determine the best method to implement in real-time the DE/IT *** fact,the C/C++programming language is used to generate an optimized hardware design for DE/IT module through the Xilinx Vivado HLS *** the other hand,the LLS hardware architecture is designed by the VHSIC Hardware Description language(VHDL)and using the pipeline technique to decrease the processing *** experimental results on the Xilinx XC7Z020 FPGA show that the LLS design increases the throughput in term of frame rate by 80%relative to HLS design with a 4.4%increase in the number of Look-Up Tables(LUTs).Compared with existing related works in literature,the proposed architectures demonstrate significant advantages in hardware cost and performance improvement.

关键词： HEVC decoder dequantization IDCT/IDST LLS design HLS design FPGA

Spirulina platensis extract improves the production and defenses of the common bean grown in a heavy metals-contaminated saline soil

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Journal of Environmental Sciences 2023年第7期129卷 240-257页

作者： mostafa m.Rady ahmed S.Elrys Eman Selem ahmed A.A.mohsen Safaa m.A.I.Arnaout ahmed H.El-Sappah Khaled A.El-Tarabily El-Sayed m.Desoky Botany Department Faculty of AgricultureFayoum UniversityFayoum 63514Egypt College of Tropical Crops Hainan UniversityHaikou 570228China Soil Science Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany and microbiology Department Faculty of ScienceZagazig UniversityZagazig 44511Egypt Horticulture Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Botany Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Genetics Department Faculty of AgricultureZagazig UniversityZagazig 44511Egypt Department of Biology College of ScienceUnited Arab Emirates UniversityAl-Ain 15551United Arab Emirates Khalifa Center for Genetic Engineering and Biotechnology United Arab Emirates UniversityAl-Ain 15551United Arab Emirates Harry Butler Institute Murdoch UniversityMurdoch 6150Australia

Plants have to cope with several abiotic stresses,including salinity and heavymetals(Hms).Under these stresses,several extracts have been used as effective natural biostimulants,however,the use of Spirulina platensis(SP)extract(SPE)remains *** effects of SPE were evaluated as soil addition(SA)and/or foliar spraying(FS)on antioxidant defenses and Hms content of common bean grown in saline soil contaminated with ***(40 or 80 mg SPE/hill added as SA or 20 or 40 mg SPE/plant added as FS)or integrative(SA+FS)applications of SPE showed significant improvements in the following order:SA-80+FS-40>SA-80+FS-20>SA-40+FS-40>SA-40+FS-20>SA-80>SA-40>FS-40>FS-20>***,the integrative SA+FS with 40 mg SP/plant was the most effective treatment in increasing plant growth and production,overcoming stress effects and minimizing contamination of the edible *** significantly increased plant growth(74%–185%)and yield(107%–227%)by enhancing net photosynthetic rate(78.5%),stomatal conductance(104%),transpiration rate(124%),and contents of carotenoids(60.0%),chlorophylls(49%–51%),and NPK(271%–366%).These results were concurrent with the marked reductions in malondialdehyde(61.6%),hydrogen peroxide(42.2%),nickel(91%–94%),lead(80%–9%),and cadmium(74%–91%)contents due to the improved contents of glutathione(87.1%),ascorbate(37.0%),andα-tocopherol(77.2%),and the activities of catalase(18.1%),ascorbate peroxidase(18.3%),superoxide dismutase(192%),and glutathione reductase(52.2%)as reinforcing ***,this most effective treatment is recommended to mitigate the stress effects of salinity and Hms on common bean production while minimizing Hms in the edible part.

关键词： Antioxidant defense system Biostimulants Heavy metals microalgae extracts Saline soil Soil pollution