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Automated Artificial Intelligence Empowered Colorectal Cancer Detection and Classification Model

Computers, Materials & Continua 2022年第9期72卷 5577-5591页

作者： mahmoud Ragab Ashwag Albukhari Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Biochemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah21589Saudi Arabia

Colorectal cancer is one of the most commonly diagnosed cancers and it develops in the colon region of large *** histopathologist generally investigates the colon biopsy at the time of colonoscopy or *** detection of colorectal cancer is helpful to maintain the concept of accumulating cancer *** medical practices,histopathological investigation of tissue specimens generally takes place in a conventional way,whereas automated tools that use Artificial Intelligence(AI)techniques can produce effective results in disease detection *** this background,the current study presents an Automated AI-empowered Colorectal Cancer Detection and Classification(AAI-CCDC)*** proposed AAICCDC technique focuses on the examination of histopathological images to diagnose colorectal ***,AAI-CCDC technique performs preprocessing in three levels such as gray scale transformation,Median Filtering(MF)-based noise removal,and contrast *** addition,Nadam optimizer with EfficientNet model is also utilized to produce meaningful feature ***,Glowworm Swarm Optimization(GSO)with Stacked Gated Recurrent Unit(SGRU)model is used for the detection and classification of colorectal *** proposed AAI-CCDC technique was experimentally validated using benchmark dataset and the experimental results established the supremacy of the proposed AAI-CCDC technique over conventional approaches.

关键词： Colorectal cancer medical data classification noise removal data classification artificial intelligence biomedical images deep learning optimizers

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Fuzzy Logic with Archimedes Optimization Based Biomedical Data Classification Model

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Computers, Materials & Continua 2022年第8期72卷 4185-4200页

作者： mahmoud Ragab Diaa Hamed Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah 21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Mathematics Faculty of ScienceAl-Azhar UniversityNaser City 11884CairoEgypt Department of Mineral Resources and Rocks Faculty of Earth SciencesKing Abdulaziz UniversityJeddah 21589Saudi Arabia Geology Department Faculty of ScienceAl-Azhar UniversityNaser City 11884CairoEgypt

Medical data classification becomes a hot research topic in the healthcare sector to aid physicians in the healthcare sector for decision ***,the advances of machine learning(ML)techniques assist to perform the effective classification *** this motivation,this paper presents a Fuzzy Clustering Approach Based on Breadth-first Search Algorithm(FCA-BFS)with optimal support vector machine(OSVM)model,named FCABFS-OSVM for medical data *** proposed FCABFS-OSVM technique intends to classify the healthcare data by the use of clustering and classification ***,the proposed FCABFSOSVM technique involves the design of FCABFS technique to cluster the medical data which helps to boost the classification ***,the OSVM model investigates the clustered medical data to perform classification ***,Archimedes optimization algorithm(AOA)is utilized to the SVM parameters and boost the medical data classification results.A wide range of simulations takes place to highlight the promising performance of the FCABFS-OSVM *** comparison studies reported the enhanced outcomes of the FCABFS-OSVM technique over the recent state of art approaches.

关键词： Clustering medical data classification machine learning parameter tuning support vector machines

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Cost Estimate and Input Energy of Floor Systems in Low Seismic Regions

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Computers, Materials & Continua 2022年第5期71卷 2159-2173页

作者： Sayed mahmoud Alaa Salman Department of Civil and Construction Engineering College of EngineeringImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam 31441Kingdom of Saudi Arabia

Reinforced concrete(RC)as a material is most commonly used for buildings *** floor systems are available following the structural and architectural *** current research study provides cost and input energy comparisons of RC office buildings of different floor *** solid,ribbed,flat plate and flat slab systems are considered in the *** models in three-dimensional using extended threedimensional analysis of building systems(ETABS)and in two-dimensional using slab analysis by the finite element(SAFE)are developed for analysis *** and design using both software packages and manual calculations are employed to obtain the optimum sections and reinforcements to fit cities of low seismic intensities for all the considered building *** ground motion records of low peak ground acceleration(PGA)levels are used to excite the models to measure the input *** cost estimating system is adopted to categorize building components according to 12 ***,Microsoft(MS)Project is utilized to identify the construction cost and duration of each building *** study shows that floor system significantly causes changes in the input energy to *** addition,the slight increase in the PGA increases the amount of input energy particularly flat plate *** cost of the flat plate system that the flat slab system is of higher value as compared to ribbed and conventional slab *** use of drop panels increases this value as ***,the estimated cost of the ribbed slab system exceeds that of conventional system.

关键词： Uniformat system office buildings floor systems energy response cost estimating

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Effect of synthetic fibers on resisting scour caused by horizontal jet

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Water Science and Engineering 2022年第2期15卷 152-160页

作者： Amin Ghassemi Mohsen Nasrabadi Mohammad Hossein omid Ali Raeesi Estabragh Department of Civil Engineering Queen's UniversityKingston K7L 3N6Canada Department of Water Science and Engineering Arak UniversityArak 38481-77584Iran Department of Irrigation and Reclamation Engineering University of TehranKaraj 31587-77871Iran

Given that the development of scour downstream of hydraulic structures increases the risk of structural damage,it is important to find cost-effective and environmental approaches to reduce this *** study aimed to experimentally evaluate the effect of synthetic fibers on the scour profile downstream of a sluice gate with a rigid *** were performed with the same Froude number and with different weight percentages of synthetic fibers on both non-cohesive and cohesive *** uniform sand was used as the non-cohesive sediment,and three different cohesive sediments were prepared by mixing different percentages of kaolinite soil with the used *** scouring experiments showed that the presence of synthetic fibers did not considerably affect the scour hole dimension in non-cohesive *** of the scour in the cohesive sediments in silty sand(SM)texture found that an increase in the percentage of silt reduced the scour hole *** effect of synthetic fibers on scour of SM-texture-based sediments was also investigated,and the results showed that increasing the percentage of synthetic fibers decreased the scour hole *** addition,the cohesive sediments in SM texture did not have a similar non-dimensional scour profile,and the presence of synthetic fibers did not significantly affect the scour hole.

关键词： Local scouring Synthetic fibers Horizontal jet SM soil texture Scour profile

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An interview with Professor Jonathan Locke Hart

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Journal of Foreign Languages and Cultures 2023年第2期7卷 106-116页

作者： David Porter omid Azadibougar Hunan Normal University

Professor Jonathan Locke Hart answers our questions about Comparative Literature in Canada,Canadian indigenous literary traditions,Shakespeare,and the dominance of American academia,and the English *** refers to a wide range of texts and scholars,his personal experience as a poet and scholar,and comments on the potential future of our shared disciplines.

关键词： indigenous literary traditions Shakespeare Eurocentricism Canadian Literature Comparative Literature

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Contribution of biophysical and climate variables to the spatial distribution of wildfires in Iran

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林业研究:英文版 2023年第6期34卷 1763-1775页

作者： Kobra Shojaeizadeh mahmoud Ahmadi Abbasali Dadashi-Roudbari Department of Physical Geography Faculty of Earth SciencesShahid Beheshti UniversityTehranIran Department of Geography Ferdowsi University of MashhadMashhadIran

This study investigated the relationship between climate and biophysical variables in burned areas in *** fire burned area(FBA)product(Fire CCI 5.1.1),land surface temperature(MOD11C3C),vegetation index(MOD13A1),and climate variables such as temperature,wind speed,relative humidity,and volumetric soil moisture from the ERA5 reanalysis dataset were *** correlation coefficient was used to determine the relationship between biophysical and climate variables and fire *** results show that FBA increased by 1.7 hectares/decade from 2001 to *** high FBA in 2010(the black summer of Iran)was due to high temperatures and significant heatwaves that led to extensive *** anthropogenic activities are considered a significant cause of wildfires,several variables,including increased temperatures,less precipitation,relative humidity,and wind speed and direction,contribute to the extent and occurrence of *** country’s FBA hotspot is in the Arasbaran region during the summer *** and relative humidity are the most significant variables influencing the occurrence of *** results show the vulnerability of Iran s forests and their high potential for *** the frequency of fire occurrences in Iran and the limited equipment,fire prevention plans should be carried out by applying proper management in high-risk regions.

关键词： Wildfire Burned areas Vegetation index(Ⅵ) Air temperature Iran

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Occurrence and ecotoxicological risk assessment of pesticides in sediments of the Rosetta branch,Nile River, Egypt

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Journal of Environmental Sciences 2022年第8期34卷 21-31页

作者： Fawzy Eissa mahmoud Al-Sisi Khaled Ghanem Environment and Bio-agriculture Department Faculty of AgricultureAl-Azhar UniversityNasr CityCairo 11884Egypt Central Laboratory of Residue Analysis of Pesticides and Heavy Metals in Food(QCAP) Agricultural Research CenterDokkiGiza 12311Egypt

This study aimed to(1) monitor the occurrence and spatiotemporal variations of 100 pesticides in sediments collected monthly from July 2018 to June 2019 from sampling sites in El-Rahawy, Sabal, and Tala, along the Rosetta branch of the Nile River, Egypt, and(2) perform an ecological risk assessment for aquatic organisms upon exposure to the detected sediment pesticides based on the risk quotient(RQ) method. Out of the 100 pesticides monitored, 16 pesticides belonging to seven chemical families were detected, and 55% of the sediment samples were contaminated with one or more pesticide residues. The mean concentration(mg/kg dry weight(dw)) and detection frequency(%) of the four most frequently detected pesticides in the sediment samples were as follows: chlorpyrifos(0.18 mg/kg dw and 34%), p,p-DDE(0.018 mg/kg dw and 30%), cypermethrin(0.03 mg/kg dw and 14%), and deltamethrin(0.026 mg/kg dw and 13%). The spatial distribution exhibited that El-Rahawy had the highest pesticide load(2.86 mg/kg dw) among the studied sites, whereas the temporal variations revealed that the highest total pesticide concentrations were detected in winter season(1.73 mg/kg dw). Meanwhile, 12 pesticides showed high RQs(>1), posing a potential ecological risk to aquatic species that live and feed on such sediments.

关键词： Pesticide residues Sediments Spatiotemporal variations Risk quotient

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Introduction:Comparative Literature beyond Eurocentrism

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Journal of Foreign Languages and Cultures 2022年第1期6卷 1-14,154,155页

作者： Zhang Longxi omid Azadibougar CityUniversityof HongKong HunanNormal University

This introductory essay discusses the Eurocentrism of Comparative Literature and argues that as an effect of the structures of the modern humanities,thestudy of non-European literatures has been mostly consigned to area studies and not literary studies departments at universities Therefore,despite the efforts to overcome this condition of the field,including the rise of World Literature since the turn of the 21st century,scholarship has reproduced the status quo to the extent that World Literature also remainsa largely *** argue that revisionist efforts have so far operated within the European theoretical space and referred toa limited number of *** essays collected in the present issue address this problem and propose diverse solutions for overcoming the Eurocentrism of the discipline.

关键词： Comparative Literature ethnocentrism modern structures of knowledge method colonialism translation

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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

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Metaheuristic Lightweight Cryptography for Security Enhancement in Internet of Things

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Computers, Materials & Continua 2022年第8期72卷 3009-3023页

作者： mahmoud Ragab Ehab Bahaudien Ashary Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia

The advancements made in Internet of Things(IoT)is projected to alter the functioning of healthcare industry in addition to increased penetration of different ***,data security and private are challenging tasks to accomplish in IoT and necessary measures to be taken to ensure secure *** this background,the current paper proposes a novel lightweight cryptography method for enhance the security in *** proposed encryption algorithm is a blend of Cross Correlation Coefficient(CCC)and Black Widow Optimization(BWO)*** the presented encryption technique,CCC operation is utilized to optimize the encryption process of cryptography *** projected encryption algorithm works in line with encryption and decryption *** key selection is performed with the help of Artificial Intelligence(AI)tool named BWO *** the combination of AI technique and CCC operation,optimal security operation is improved in *** different sets of images collected from databases,the projected technique was validated in MATLAB on the basis of few performance metrics such as encryption time,decryption time,Peak Signal to Noise Ratio(PSNR),CC,Error,encryption time and decryption *** results were compared with existing methods such as Elliptical Curve cryptography(ECC)and Rivest-Shamir-Adleman(RSA)and the supremacy of the projected method is established.

关键词： Security images encryption time correlation coefficient black widow optimization artificial intelligence decryption time

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