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Predicting pavement condition index based on the utilization of machine learning techniques:A case study

道路工程学报(英文) 2023年第3期3卷 266-278页

作者： Abdualmtalab Abdualaziz Ali Abdalrhman Milad amgad Hussein Nur Izzi Md Yusoff Usama Heneash Department of Civil Engineering Faculty of Engineering and Applied ScienceMemorial UniversitySt.John'sNL A1B1T5Canada Department of Civil Engineering Faculty of EngineeringAzzaytuna UniversityTarhunaLibya Department of Civil and Environmental Engineering College of EngineeringUniversity of NizwaNizwaOman Department of Civil Engineering Universiti Kebangsaan MalaysiaBangi 43600Malaysia Department of Civil Engineering Faculty of EngineeringKafrelsheikh UniversityKafr El-SheikhEgypt

Pavement management systems(PMS)are used by transportation government agencies to promote sustainable development and to keep road pavement conditions above the minimum performance levels at a reasonable *** accomplish this objective,the pavement condition is monitored to predict deterioration and determine the need for maintenance or rehabilitation at the appropriate *** pavement condition index(PCI)is a commonly usedmetric to evaluate the pavement's *** research aims to create and evaluate prediction models for PCI values using multiple linear regression(MLR),artificial neural networks(ANN),and fuzzy logic inference(FIS)models for flexible pavement *** authors collected field data spans for 2018 and *** pavement distress factors were considered inputs for predicting PCI values,such as rutting,fatigue cracking,block cracking,longitudinal cracking,transverse cracking,patching,potholes,and *** study evaluates the performance of the three techniques based on the coefficient of determination,root mean squared error(RMSE),and mean absolute error(MAE).The results show that the R2 values of the ANN models increased by 51.32%,2.02%,36.55%,and 3.02%compared toMLR and FIS(2018 and 2021).The error in the PCI values predicted by the ANNmodel was significantly lower than the errors in the prediction by the FIS and MLR models.

关键词： Pavement condition index Pavement distresses Machine learning Artificial neural network Multiple linear regression

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Impact of the COVID-19 pandemic and generational heterogeneity on ecommerce shopping styles-A case study of Sacramento,California

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Communications in Transportation Research 2023年第1期3卷 53-61页

作者： Qianhua Luo Teddy Forscher Susan shaheen Elizabeth Deakin Joan L.Walker Department of Civil and Environmental Engineering University of CaliforniaBerkeleyCA94720USA Transportation Sustainability Research Center University of CaliforniaBerkeleyCA94704USA Department of City and Regional Planning University of CaliforniaBerkeleyCA94720USA Center for Global Metropolitan Studies University of CaliforniaBerkeleyCA94720USA

The COVID pandemic has accelerated the growth of ecommerce and reshaped shopping patterns,which in turn impacts trip-making and vehicle miles *** objectives of this study are to define shopping styles and quantify their prevalence in the population,investigate the impact of the pandemic on shopping style transition,understand the generational heterogeneity and other factors that influence shopping styles,and comment on the potential impact of the pandemic on long-term shopping *** months after the initial shutdown(May/June 2021),we collected ecommerce behavioral data from 313 Sacramento Region households using an online survey.A K-means clustering analysis of shopping behavior across eight commodity types identified five shopping styles,including ecommerce independent,ecommerce dependent,and three mixed modes *** found that the share of ecommerce independent style shifted from 55%pre-pandemic to 27%during the ***,30%kept the same style as pre-pandemic,54%became more ecommerce dependent,and 16%became less ecommerce dependent,with the latter group more likely to view shopping an excuse to get *** was found across ***-pandemic,Millennials and Gen Z were the most ecommerce dependent,but during the pandemic they made relatively small shifts toward increased ecommerce *** Boomers and the Silent Generation were bimodal,either sticking to in-person shopping or shifting to ecommercedependency during the ***-pandemic intentions varied across styles,with households who primarily adopt non-food ecommerce intending to reverse back to in-person shopping,while the highly ecommerce dependent intend to limit future in-store activities.

关键词： Ecommerce COVID pandemic Shopping patterns Generational heterogeneity

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Image-Based Automatic Diagnostic System for Tomato Plants Using Deep Learning

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Computers, Materials & Continua 2021年第4期67卷 595-612页

作者： shaheen Khatoon Md Maruf Hasan Amna Asif Majed Alshmari Yun-Kiam Yap College of Computer Science and Information Technology King Faisal UniversityAl-Ahsa31982Saudi Arabia College of Science King Faisal UniversityAl-Ahsa31982Saudi Arabia

Tomato production is affected by various threats,including pests,pathogens,and nutritional deciencies during its growth *** control is not timely,these threats affect the plant-growth,fruit-yield,or even loss of the entire crop,which is a key danger to farmers’livelihood and food *** plant disease diagnosis methods heavily rely on plant pathologists that incur high processing time and huge *** and cost-effective methods are essential for timely detection and early intervention of basic food threats to ensure food security and reduce substantial economic *** developments in Articial Intelligence(AI)and computer vision allow researchers to develop image-based automatic diagnostic tools to quickly and accurately detect *** this work,we proposed an AI-based approach to detect diseases in tomato *** goal is to develop an end-to-end system to diagnose essential crop problems in real-time,ensuring high *** paper employs various deep learning models to recognize and predict different diseases caused by pathogens,pests,and nutritional *** Convolutional Neural Networks(CNNs)are trained on a large dataset of leaves and fruits images of tomato *** compared the performance of ShallowNet(a shallow network trained from scratch)and the state-of-theart deep learning network(models are ne-tuned via transfer learning).In our experiments,DenseNet consistently achieved high performance with an accuracy score of 95.31%on the test *** results verify that deep learning models with the least number of parameters,reasonable complexity,and appropriate depth achieve the best *** experiments are implemented in Python,utilizing the Keras deep learning library backend with TensorFlow.

关键词： Tomato plant disease classication and prediction deep learning convolutional neural network RestNet VGGNet DenseNet

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Graphene oxide-based hydrogels as a nanocarrier for anticancer drug delivery

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Nano Research 2019年第5期12卷 973-990页

作者： Abdullah A.Ghawanmeh Gomaa A.M.Ali H.Algarni shaheen M.Sarkar Kwok Feng Chong Faculty of Industrial Sciences & Technology Universiti Malaysia PahangGambang26300 KuantanMalaysia Chemistry Department Faculty of ScienceAl-Azhar UniversityAssiut71524Egypt Department of Physics Faculty of SciencesKing Khalid UniversityAbha 61413P. O. Box 9004Saudi Arabia Research Center for Advanced Materials Science (RCAMS) King Khalid UniversityAbha 61413P. O. Box 9004Saudi Arabia Bernal Institute Department of Chemical SciencesUniversity of LimerickCastletroyV94 LimerickIreland

Graphene oxide (GO) possesses excellent mechanical strength,biocompatibility,colloidal stability,large surface area and high adsorption *** has driven to cancer nanotechnology to defeat cancer therapy obstacles,via integration into three-dimensional (3D) hydrogel network with biocompatible polymers as nanocomposites carrier,and controllable release of anticancer ***,the surface of GO affords π-π stacking and hydrophilic interactions with anticancer ***,modification of GO with various polymers such as natural and synthetic polymers enhances its biodegradability,drug loading,and target *** this review,GO based hydrogels research accomplishments are reviewed on the aspects of crosslinking strategies,preparation methods,the model drug,polymer conjugation and modification with targeting ***,swelling kinetics,drug release profile and biological activity in vivo and in vitro are *** biocompatibility of GO based hydrogels is also discussed from the perspective of its nano-bio *** from that,the clinical potential of GO based hydrogels and its major challenges are addressed in ***,this review concludes with a summary and invigorating future perspectives of GO based hydrogels for anticancer drug *** is anticipated that this review can stimulate a new research gateway to facilitate the development of anticancer drug delivery by harnessing the unique properties of GO based hydrogels,such as large surface area,chemical purity,high loading capacity of drug,chemical stability,and the nature of lipophilic for cell membrane penetration.

关键词： graphe ne oxide cancer nan otechnology hydrogel nanocarrier drug delivery

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Recognition of weeds at asparagus fields using multi-feature fusion and backpropagation neural network

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International Journal of Agricultural and Biological Engineering 2021年第4期14卷 190-198页

作者： Yafei Wang Xiaodong Zhang Guoxin Ma Xiaoxue Du Naila.shaheen Hanping Mao School of Agricultural Engineering Jiangsu UniversityZhenjiang 212013China Key Laboratory of Modern Agricultural Equipment and Technology Ministry of EducationJiangsu UniversityZhenjiang 212013JiangsuChina School of Electrical and Information Engineering Jiangsu UniversityZhenjiang 212013JiangsuChina

In order to solve the problem of low recognition rates of weeds by a single feature,a method was proposed in this study to identify weeds in Asparagus(Asparagus officinalis L.)field using multi-feature fusion and backpropagation neural network(BPNN).A total of 382 images of weeds competing with asparagus growth were collected,including 135 of Cirsium arvense(L.)Scop.,138 of Conyza sumatrensis(Retz.)***,and 109 of Calystegia hederacea *** grayscale images were extracted from the RGB images of weeds using the 2G-R-B *** segmentation of the grayscale image of weeds was applied using Otsu *** the internal holes of the leaves were filled through the expansion and corrosion morphological operations,and other interference targets were removed to obtain the binary *** foreground image was obtained by masking the binary image and the RGB ***,the color moment algorithm was used to extract weeds color feature,the gray level co-occurrence matrix and the Local Binary Pattern(LBP)algorithm was used to extract weeds texture features,and seven Hu invariant moment features and the roundness and slenderness ratio of weeds were extracted as their shape *** to the shape,color,texture,and fusion features of the test samples,a weed identification model was *** test results showed that the recognition rate of Cirsium arvense(L.)Scop.,Calystegia hederacea *** Conyza sumatrensis(Retz.)*** were 82.72%(color feature),72.41%(shape feature),86.73%(texture feature)and 93.51%(fusion feature),***,this method can provide a reference for the study of weeds identification in the asparagus field.

关键词： weeds recognition image processing feature extraction multi-feature fusion BP neural network asparagus field

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Unveiling the Optimal Interfacial Synergy of Plasma-Modulated Trimetallic Mn-Ni-Co Phosphides:Tailoring Deposition Ratio for Complementary Water Splitting

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Energy & Environmental Materials 2023年第2期6卷 129-141页

作者： Kholoud E.Salem Amina A.Saleh Ghada E.Khedr Basamat S.shaheen Nageh K.Allam Energy Materials Laboratory(EML) School of Sciences and EngineeringThe American University in CairoNew Cairo 11835Egypt

Designing highly active,durable,and nonprecious metal-based bifunctional electrocatalysts for overall water electrolysis is of urgent scientific importance to realize the sustainable hydrogen production,which remains a grand ***,an innovative approach is demonstrated to synthesize flower-like 3D homogenous trimetallic Mn,Ni,Co phosphide catalysts directly on nickel foam via electrodeposition followed by plasma *** electrochemical activity of the catalysts with varying Mn:Ni:Co ratios is assessed to identify the optimal composition,demonstrating that the equimolar trimetallic phosphide yields an outstanding HER catalytic performance with a current density of 10 mA cm^(-2) at an ultra-low overpotential of~14 mV,outperforming the best reported *** is asserted by the DFT calculations,revealing strong interaction of the metals and the P atom,resulting in enhanced water activation and optimized G_(H)^(*)values for the HER ***,this optimal composition appreciably catalyzes the OER by exposing more intrinsic active species in-situ formed on the catalyst surface during the ***,the Mn_(1)-Ni_(1)-Co_(1)-P-(O)/NF catalyst exhibits a decreased overpotential of~289 mV at 10 mA cm^(-2).More importantly,the electrocatalyst sustains perfect durability up to 48 h at a current density of 10 mA cm^(-2) and continued 5000 cycling stability for both HER and ***,the assembled MNC-P/NF||MNC-P/NF full water electrolyzer system attains an extremely low cell voltage of 1.48 V at 10 mA cm^(-2).Significantly,the robust stability of the overall system results in a remarkable current retention of~96%after a continuous 50-h ***,this study provides a facile design and a scalable construction of superb bifunctional ternary MNC-phosphide electrocatalysts for efficient electrochemical energy production systems.

关键词： DFT overall water splitting oxygen evolution reaction(OER)/hydrogen evolution reaction(HER) plasma ternary metallic phosphides(MnNiCo)

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Fate,transport,and risk assessment of widely prescribed pharmaceuticals in terrestrial and aquatic systems:A review

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Emerging Contaminants 2022年第1期8卷 216-228页

作者： Jamal F.shaheen Banu Sizirici Ibrahim Yildiz Department of Civil Infrastructure and Environmental Engineering Khalifa University of Science and TechnologyP.O.Box 127788Abu DhabiUnited Arab Emirates Department of Chemistry Khalifa University of Science and TechnologyP.O.Box 127788Abu DhabiUnited Arab Emirates

Rapid development of pharmaceuticals outpaces the efforts to regulate and monitor their trace concentrations in the *** emerging issue can only be solved through field studies,solid fate and transport models,and adequate risk assessment of the concerned *** approach requires the availability of toxicological information about the contaminants along with an understanding of their full potential in different media of the *** review paper focuses on commonly used seven pharmaceutical families across the globe:antacids,antibiotics,antidepressants,antiepileptics,beta blockers,lipid lowering drugs,and nonsteroidal anti-inflammatory *** each family,pharmaceuticals which are widely prescribed,studied,and frequently detected in environment were *** concentration levels in the environment,updated physicochemical properties,main natural removal mechanism,and ecological risk assessment towards the receptors of those pharmaceuticals in aquatic and terrestrial systems were *** following results were observed in the literature:1)removal of the pharmaceuticals from wastewater treatment plants is reduced when the dissolved organic matter present;2)many studies have cited older physicochemical properties of the concerned pharmaceuticals assuming relative conditions in their studies which can affect the accuracy of a model;3)the number of studies are very limited for fate and transport in the soil;and 4)there is lack of cumulative risk assessment of mixed pharmaceutical ***,this review will provide modeler with updated physiochemical properties;it will guide researchers to focus on removal of those contaminants at different lifecycle stages;and it will provide guidance to policy makers to develop effective policies and regulations.

关键词： Emerging contaminants Pharmaceuticals Fate and transport Risk assessment Removal mechanism

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Trends in the rates of hospitalizations for acute stroke among patients over 90 years of age with atrial fibrillation in the United States： from 2005 to 2014

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Journal of Geriatric Cardiology 2017年第9期14卷 547-552页

作者： Ghanshyam PS Shantha amgad Mentias Musab Alqasrawi Abdul Qazi Chakradhari Inampudi Kongkiat Chaikriangkrai Abhishek Deshmuk Steven Bailin Michael Giudici Alexander Mazur Division of Cardiovascular Medicine University of Iowa Hospitals and Clinics lowa City lowa USA Mayo Clinic Rochester MN USA

Background Acute stroke （AS） rates in patients over 90 years of age （very elderly） with atrial fibrillation （AF） in the United States（US） are not known. We assessed trends in hospitalizations for AS among very elderly with AF in the US from 2005 to 2014. Methods Weused the nationwide inpatient sample （NIS） from the USA; 2005-2014. AF and AS diagnoses were abstracted using international classifica-tion of diseases, 9th Revision, clinical modification （ICD-9-CM） codes. Results From 2005 to 2014, 3,606,073 hospitalizations of veryelderly with AF were reported. Of these, 188,948 hospitalizations （141,822 hospitalizations in women and 47,126 hospitalizations in men）had AS as the primary diagnosis. Age adjusted AS hospitalizations increased in the total cohort （3217/million in 2005 to 3871/million in2014）, in women （3540/million in 2005 to 4487/million in 2014） and in men （2490/million in 2005 to 3173/million in 2014）（P 〈 0.001）.Anticoagnlation rates increased in women （8% in 2005 to 19.9% in 2014） and in men （8.9% in 2005 to 21.6% in 2014）. AS rates, thoughnumerically lower than the total cohort, showed an increasing trend in anticoagnlated patients as well （all anticoagulated patients： 212/millionin 2005 to 513/million in 2014; anticoagulated women： 224/million in 2005 to 529/million in 2014, anticoagnlated men： 184/million in 2005to 518/million in 2014）. Conclusions There is an increasing trend in AS hospitalizations among nonagenarians with AF in the US despiteimproving utilization of anticoagulants in this patient population. The etiologies driving this alarming trend are unclear and require fur-ther study.

关键词： Anticoagulation Atrial fibrillation Nonagenarian Stroke

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Clinical correlates of common corneal neovascular diseases: a literature review

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International Journal of Ophthalmology(English edition) 2015年第1期8卷 182-193页

作者： Nizar Saleh Abdelfattah Mohamed amgad Amira A Zayed Hamdy Salem Ahmed E Elkhanany Heba Hussein Nawal Abd El-Baky Doheny Image Reading Center Doheny Eye InstituteUniversity of California Faculty of Medicine Cairo University Department of Surgery Mayo Clinic Faculty of Medicine University of Alexandria Department of Medical Oncology Mayo Clinic Faculty of Oral and Dental Medicine Cairo University Antibody Laboratory Protein Research DepartmentGenetic Engineering and Biotechnology Research InstituteCity for Scientific Research and Technology Applications

A large subset of corneal pathologies involves the formation of new vessels(neovascularization), leading to compromised visual acuity. This article aims to review the clinical causes and presentations of corneal neovascularization(CNV) by examining the mechanisms behind common CNV-related corneal pathologies, with a particular focus on herpes simplex stromal keratitis,contact lenses-induced keratitis and CNV secondary to keratoplasty. Moreover, we reviewed CNV in the context of different types of corneal transplantation and keratoprosthesis, and summarized the most relevant treatment available so far.

关键词： cornea neovascularization herpes simplex keratitis keratoplasty contact lens keratoprosthesis

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Improved Fruitfly Optimization with Stacked Residual Deep Learning Based Email Classification

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Intelligent Automation & Soft Computing 2023年第6期36卷 3139-3155页

作者： Hala J.Alshahrani Khaled Tarmissi Ayman Yafoz Abdullah Mohamed Abdelwahed Motwakel Ishfaq Yaseen amgad Atta Abdelmageed Mohammad Mahzari Department of Applied Linguistics College of LanguagesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversityMakkah24211Saudi Arabia Department of Information Systems Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah22230Saudi Arabia Research Centre Future University in EgyptNew Cairo11845Egypt Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharj16242Saudi Arabia Department of English College of Science&HumanitiesPrince Sattam bin Abdulaziz UniversityAlKharj16242Saudi Arabia

Applied linguistics means a wide range of actions which include addressing a few language-based problems or solving some language-based *** stay in the leading positions for business as well as personal *** popularity grabs the interest of individuals with malevolent inten-tions—phishing and spam email *** filtering mechanisms were developed incessantly to follow unwanted,malicious content advancement to protect the *** prevailing solutions were focused on phishing email filtering and spam and whereas email labelling and analysis were not fully ***,this study provides a solution related to email message body text automatic classification into phishing and email *** paper presents an Improved Fruitfly Optimization with Stacked Residual Recurrent Neural Network(IFFO-SRRNN)based on Applied Linguistics for Email *** presented IFFO-SRRNN technique examines the intrinsic features of email for the identification of spam *** the preliminary level,the IFFO-SRRNN model follows the email pre-processing stage to make it compatible with further ***,the SRRNN method can be useful in recognizing and classifying spam *** hyperparameters of the SRRNN model need to be effectually tuned,the IFFO algorithm can be utilized as a hyperparameter *** investigate the effectual email classification results of the IFFO-SRDL technique,a series of simulations were taken placed on public datasets,and the comparison outcomes highlight the enhancements of the IFFO-SRDL method over other recent approaches with an accuracy of 98.86%.

关键词： Email classification applied linguistics improved fruitfly optimization deep learning recurrent neural network

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