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Visibility Enhancement of Scene Images Degraded by Foggy Weather Condition: An Application to Video Surveillance

Computers, materials & Continua 2021年第9期68卷 3465-3481页

作者： Ghulfam Zahra muhammad Imran abdulrahman m.Qahtani Abdulmajeed Alsufyani Omar Almutiry Awais mahmood Fayez Eid Alazemi Department of Computer Science Shaheed Zulfikar Ali Bhutto Institute of Science and TechnologyIslamabad44000Pakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Department of Computer Science and Information Systems College of Business StudiesPAAET12062Kuwait

:In recent years,video surveillance application played a significant role in our daily *** taken during foggy and haze weather conditions for video surveillance application lose their authenticity and hence reduces the *** reason behind visibility enhancement of foggy and haze images is to help numerous computer and machine vision applications such as satellite imagery,object detection,target killing,and *** remove fog and enhance visibility,a number of visibility enhancement algorithms and methods have been proposed in the ***,these techniques suffer from several limitations that place strong obstacles to the real world outdoor computer vision *** existing techniques do not perform well when images contain heavy fog,large white region and strong atmospheric *** research work proposed a new framework to defog and dehaze the image in order to enhance the visibility of foggy and haze *** proposed framework is based on a Conditional generative adversarial network(CGAN)with two networks;generator and discriminator,each having distinct *** generator network generates fog-free images from foggy images and discriminator network distinguishes between the restored image and the original fog-free *** are conducted on FRIDA dataset and haze *** assess the performance of the proposed method on fog dataset,we use PSNR and SSIm,and for Haze dataset use e,r−,andσas performance *** results shows that the proposed method achieved higher values of PSNR and SSIm which is 18.23,0.823 and lower values produced by the compared method which are 13.94,0.791 and so *** results demonstrated that the proposed framework Has removed fog and enhanced the visibility of foggy and hazy images.

关键词： Video surveillance degraded images image restoration transmission map visibility enhancement

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Recent progress in two-dimensional metallenes and their potential application as electrocatalyst

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Journal of Energy Chemistry 2024年第7期94卷 577-598页

作者： Umer Shahzad mohsin Saeed muhammad Fazle Rabbee Hadi m.marwani Jehan Y.Al-Humaidi muhammad Altaf Raed H.Althomali Kwang-Hyun Baek md.Rabiul Awual mohammed m.Rahman Department of Chemistry Faculty of ScienceKing Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Biotechnology Yeungnam UniversityGyeongsanSouth Korea Center of Excellence for Advanced materials Research(CEAmR) King Abdulaziz UniversityJeddah 21589Saudi Arabia Department of Chemistry College of SciencePrincess Nourah Bint Abdulrahman UniversityP.O.BOX 84428Riyadh 11671Saudi Arabia Department of Chemistry Center of Excellence for Innovation in Chemistry(PERCH-CIC)Center of Excellence in Materials Science and TechnologyFaculty of ScienceChiang Mai UniversityChiang Mai 50200Thailand Department of Chemistry College of Art and SciencePrince Sattam Bin Abdulaziz UniversityWadi Al-Dawasir 11991Saudi Arabia Western Australian School of mines:minerals Energy and Chemical EngineeringCurtin UniversityGPO Box U 1987PerthWA 6845Australia

In this article,we looked at metallenes,a novel class of two-dimensional(2D)metals that are attracting interest in the energy and catalysis *** is one area where their exceptional physicochemical and electrical characteristics might be *** are unique because they include several metal atoms that are not in a coordinated *** makes them more active and improves their atomic uti-lization,which in turn increases their catalytic *** article delves into the potential of two-dimensional metals as electrocatalysts for carbon dioxide reduction,fuel oxidation,oxygen evolution,and oxygen reduction reactions in the context of sustainable energy *** to the exception-ally high surface-to-volume ratio,large surface area as well as their optimized atomic use efficiency,2D materials defined by atomic layers are crucial for surface-related sustainable energy *** to its exceptional properties,such as high conductivity and the ability to enhance the exposure of active metal sites,2D metallenes have recently attracted a lot of interest for use in catalysis,electronics,and energy-related *** their highly mobility,adjustable surface states,and electrical struc-tures that can be fine-tuned,2D metallenes are promising nanostructure materials for use in energy con-version with the sustainable applications.

关键词： metallenes Electrocatalysts Electrochemical processes Atomically thin structure

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Prevalence and associated factors of clubfoot in the eastern province of Saudi Arabia: A hospital-based study

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World Journal of Orthopedics 2024年第7期15卷 635-641页

作者： Ammar K Alomran Bandar A Alzahrani Bader S Alanazi mohammed A Alharbi Loay m Bojubara Eman m Alyaseen Department of Orthopedic College of MedicineImam Abdulrahman bin Faisal UniversityDammam 34212Saudi Arabia College of medicine Imam Abdulrahman bin Faisal UniversityDammam 34212Saudi Arabia College of medicine Arabian Gulf UniversityManama 329Bahrain

BACKGROUND Clubfoot,or congenital talipes equinovarus,is a widely recognized cause of disability and congenital deformity worldwide,which significantly impacts the quality of *** management of clubfoot requires long-term,multidiscip-linary *** is important to understand how common this condition is in order to assess its impact on the ***,few studies have investigated the prevalence of clubfoot in Saudi *** To determine the prevalence of clubfoot in Saudi Arabia via the patient population at King Fahad University Hospital(KFUH).mETHODS This was a retrospective study conducted at one of the largest hospitals in the country and located in one of the most densely populated of the administrative *** Of the 7792 births between 2015 to 2023 that were included in the analysis,42 patients were diagnosed with clubfoot,resulting in a prevalence of 5.3 per 1000 live births at *** The observed prevalence of clubfoot was significantly higher than both global and local estimates,indicating a substantial burden in the study population.

关键词： Clubfoot Talipes equinovarus Congenital talipes equinovarus Prevalence Saudi Arabia

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Automated Disassembly Sequence Prediction for Industry 4.0 Using Enhanced Genetic Algorithm

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Computers, materials & Continua 2021年第11期69卷 2531-2548页

作者： Anil Kumar Gulivindala m.V.A.Raju Bahubalendruni R.Chandrasekar Ejaz Ahmed mustufa Haider Abidi abdulrahman Al-Ahmari Department of mechanical Engineering Industrial Robotics and Manufacturing Automation LaboratoryNational Institute of TechnologyKariakal609609India Department of Computer Science Engineering National Institute of TechnologyKariakal609609India Raytheon Chair for Systems Engineering Advanced Manufacturing InstituteKing Saud UniversityRiyadh11421Saudi Arabia Industrial Engineering Department College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia

The evolution of Industry 4.0 made it essential to adopt the Internet of Things(IoT)and Cloud Computing(CC)technologies to perform activities in the new age of *** technologies enable collecting,storing,and retrieving essential information from the manufacturing *** collected at sites are shared with others where execution automatedly *** obtained information must be validated at manufacturing to avoid undesirable data losses during the de-manufacturing ***,information sharing from the assembly level at the manufacturing stage to disassembly at the product end-of-life state is a major *** current research validates the information optimally to offer a minimum set of activities to complete the disassembly *** optimal disassembly sequence plan(DSP)can possess valid information to organize the necessary actions in ***,finding an optimal DSP is complex because of its combinatorial *** genetic algorithm(GA)is a widely preferred artificial intelligence(AI)algorithm to obtain a near-optimal solution for the DSP *** converging nature at local optima is a limitation in the traditional *** study improvised the GA workability by integrating with the proposed priori crossover *** optimality function is defined to reduce disassembly effort by considering directional changes as *** enhanced GA method is tested on a real-time product to evaluate the *** obtained results reveal that diversity control depends on the operators employed in the disassembly *** proposed method’s solution can be stored in the cloud and shared through IoT devices for effective resource allocation and disassembly for maximum recovery of the *** effectiveness of the proposed enhanced GA method is determined by making a comparative assessment with traditional GA and other AI methods at different population sizes.

关键词： Automation internet of things disassembly sequence planning priori cross over operator enhanced GA disassembly predicates

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Residual feed intake divergence during the preweaning period is associated with unique hindgut microbiome and metabolome profiles in neonatal Holstein heifer calves

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Journal of Animal Science and Biotechnology 2020年第2期11卷 453-467页

作者： Ahmed Elolimy abdulrahman Alharthi mohamed Zeineldin Claudia Parys Juan J.Loor mammalian NutriPhysioGenomics Department of Animal SciencesUniversity of IllinoisUrbanaILUSA Department of Animal Sciences University of IllinoisUrbanaILUSA Department of Animal Production National Research CentreDokkiGizaEgypt Carl R.Woese Institute for Genomic Biology University of IllinoisUrbanaIllinoisUSA Department of Animal medicine College of Veterinary MedicineBenha UniversityBenhaEgypt Evonik Nutrition&Care GmbH Hanau-WolfgangGermany Division of Nutritional Sciences Illinois Informatics InstituteUniversity of IllinoisUrbanaILUSA

Background:Recent studies underscored that divergence in residual feed intake(RFI)in mature beef and dairy cattle is associated with changes in ruminal microbiome and metabolome profiles which may contribute,at least in part,to better feed *** the rumen in neonatal calves during the preweaning period is underdeveloped until close to weaning,they rely on hindgut microbial fermentation to breakdown undigested diet *** leads to production of key metabolites such as volatile fatty acids(VFA),amino acids,and vitamins that could potentially be absorbed in the hind-gut and help drive growth and *** RFI divergence in neonatal calves is associated with changes in hindgut microbial communities and metabolites is largely ***,the objective of the current study was to determine differences in hindgut microbiome and metabolome in neonatal Holstein heifer calves retrospectively-grouped based on feed efficiency as mostefficient(m-eff)or least-efficient(L-eff)calves using RFI divergence during the preweaning ***:Twenty-six Holstein heifer calves received 3.8 L of first-milking colostrum from their respective dams within 6 h after *** were housed in individual outdoor hutches bedded with straw,fed twice daily with a milk replacer,and had ad libitum access to a starter grain mix from birth to weaning at 42 d of *** were classified into m-eff[n=13;RFI coefficient=−5.72±0.94 kg DmI(milk replacer+starter grain)/d]and L-eff[n=13;RFI coefficient=5.61±0.94 kg DmI(milk replacer+starter grain)/d]based on a linear regression model including the combined starter grain mix and milk replacer DmI,average daily gain(ADG),and metabolic body weight(mBW).A deep sterile rectal swab exposed only to the rectum was collected immediately at birth before colostrum feeding(i.e.,d 0),and fecal samples at d 14,28,and 42(prior to weaning)for microbiome and untargeted metabolome analyses using 16S rRNA gene sequencing and LC-mS.m

关键词： Feed efficiency Gut metabolomics microbiota Neonates Newborn Preweaning RFI

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Weapons Detection for Security and Video Surveillance Using CNN and YOLO-V5s

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Computers, materials & Continua 2022年第2期70卷 2761-2775页

作者： Abdul Hanan Ashraf muhammad Imran abdulrahman m.Qahtani Abdulmajeed Alsufyani Omar Almutiry Awais mahmood muhammad Attique mohamed Habib Department of Computer Science Shaheed Zulfikar Ali Bhutto Institute of Science and TechnologyIslamabad44000Pakistan Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia College of Applied Computer Science King Saud University(Almuzahmiyah Campus)Riyadh11543Saudi Arabia Department of Computer Science HITEC UniversityTaxila47080Pakistan College of Computing and Informatics Saudi Electronic UniversityRiyadhSaudi Arabia Faculty of Engineering Port Said UniversityPort Fuad CityEgypt

In recent years,the number of Gun-related incidents has crossed over 250,000 per year and over 85%of the existing 1 billion firearms are in civilian hands,manual monitoring has not proven effective in detecting *** is why an automated weapon detection system is *** automated convolutional neural networks(CNN)weapon detection systems have been proposed in the past to generate good ***,These techniques have high computation overhead and are slow to provide real-time detection which is essential for the weapon detection *** models have a high rate of false negatives because they often fail to detect the guns due to the low quality and visibility issues of surveillance *** research work aims to minimize the rate of false negatives and false positives in weapon detection while keeping the speed of detection as a key *** proposed framework is based on You Only Look Once(YOLO)and Area of Interest(AOI).Initially,themodels take pre-processed frames where the background is removed by the use of the Gaussian blur *** proposed architecture will be assessed through various performance parameters such as False Negative,False Positive,precision,recall rate,and F1 *** results of this research work make it clear that due to YOLO-v5s high recall rate and speed of detection are *** reached 0.010 s per frame compared to the 0.17 s of the Faster *** is promising to be used in the field of security and weapon detection.

关键词： Video surveillance weapon detection you only look once convolutional neural networks

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Artificial Intelligence Enabled Apple Leaf Disease Classification for Precision Agriculture

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Computers, materials & Continua 2022年第3期70卷 6223-6238页

作者： Fahd N.Al-Wesabi Amani abdulrahman Albraikan Anwer mustafa Hilal majdy m.Eltahir manar Ahmed Hamza Abu Sarwar Zamani Department of Computer Science King Khalid UniversityMuhayel AseerSaudi Arabia Faculty of Computer and IT Sana’a UniversityYemen Department of Information Systems College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversitySaudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlkharjSaudi Arabia

Precision agriculture enables the recent technological advancements in farming sector to observe,measure,and analyze the requirements of individual fields and *** recent developments of computer vision and artificial intelligence(AI)techniques find a way for effective detection of plants,diseases,weeds,pests,*** the other hand,the detection of plant diseases,particularly apple leaf diseases using AI techniques can improve productivity and reduce crop ***,earlier and precise apple leaf disease detection can minimize the spread of the *** works make use of traditional image processing techniques which cannot assure high detection rate on apple leaf *** this motivation,this paper introduces a novel AI enabled apple leaf disease classification(AIE-ALDC)technique for precision *** proposed AIE-ALDC technique involves orientation based data augmentation and Gaussian filtering based noise removal *** addition,the AIE-ALDC technique includes a Capsule Network(CapsNet)based feature extractor to generate a helpful set of feature ***,water wave optimization(WWO)technique is employed as a hyperparameter optimizer of the CapsNet ***,bidirectional long short term memory(BiLSTm)model is used as a classifier to determine the appropriate class labels of the apple leaf *** design of AIE-ALDC technique incorporating theWWO based CapsNetmodel with BiLSTm classifier shows the novelty of the *** range of experiments was performed to showcase the supremacy of the AIE-ALDC *** experimental results demonstrate the promising performance of the AIEALDC technique over the recent state of art methods.

关键词： Artificial intelligence apple leaf plant disease precision agriculture deep learning data augmentation

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Occupational injuries and burn out among orthopedic oncology surgeons

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World Journal of Orthopedics 2022年第12期13卷 1056-1063页

作者： abdulrahman m Alaseem Robert E Turcotte Nathalie Ste-marie mohammad m Alzahrani Saad m Alqahtani Krista A Goulding Department of Orthopedic Surgery College of MedicineKing Saud UniversityRiyadh 12372Saudi Arabia Department of Orthopedic Surgery McGill University Health CentreMontreal H4A3J1Canada Department of Orthopedic Surgery College of MedicineImam Abdulrahman Bin Faisal universityDammam 34212Saudi Arabia Department of Orthopaedic Surgery Mayo ClinicPhoenixArizona 85054USA

BACKGROUND Orthopedic oncology surgeons commonly engage in prolonged and complex surgical *** types of surgeries increase the risk of physical and psychological stressors,which may in turn make these physicians prone to workrelated occupational *** The aim of this study was to explore in orthopedic oncologists,the prevalence of work-related physical injuries and psychological *** A modified version of the physical discomfort survey was developed to assess occupational injuries among orthopedic oncology surgeon members of the musculoskeletal Tumor Society,the Canadian Orthopedic Oncology Society and European musculoskeletal Oncology *** survey was sent by email,and it explored musculoskeletal complaints,psychological disturbances,treatment required for these complaints and the requirement of time off *** A total of 67 surgeon responses were collected.A high number of orthopedic oncologists(84%)reported an occupational *** back pain(39%)was the most prevalent musculoskeletal condition,followed by lumbar disk herniation(16%),shoulder tendinitis(15%)and lateral epicondylitis(13%).Of the cohort,46%required surgery and 31%required time off work due to their ***-three respondents reported a psychological ***(27%),anxiety(20%)and insomnia(20%)were the most commonly *** required off work due to injury was associated with old age and years in *** Orthopedic oncology surgeons report a high prevalence of work-related *** back related injury and burnout were the most reported *** operative room ergonomics and prevention of stress related to the work environment should be areas to explore in upcoming research.

关键词： Orthopedic oncology Surgeons Occupational musculoskeletal Injuries

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Sailfish Optimizer with EfficientNet model for Apple Leaf Disease Detection

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Computers, materials & Continua 2023年第1期74卷 217-233页

作者： mazen mushabab Alqahtani Ashit Kumar Dutta Sultan Almotairi m.Ilayaraja Amani abdulrahman Albraikan Fahd N.Al-Wesabi mesfer Al Duhayyim Physical Therapy Department Majmaah UniversityMajmaah11952Saudi Arabia Department of Computer Science and Information Systems College of Applied SciencesAlMaarefa UniversityAd Diriyah13713RiyadhSaudi Arabia Department of Natural and Applied Sciences Faculty of Community CollegeMajmaah UniversityMajmaah11952Saudi Arabia School of Computing Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid University62529Saudi Arabia Faculty of Computer and IT Sana’a UniversitySana’a1247Yemen Department of Natural and Applied Sciences College of Community-AflajPrince Sattam Bin Abdulaziz UniversitySaudi Arabia

Recent developments in digital cameras and electronic gadgets coupled with machine Learning(mL)and Deep Learning(DL)-based automated apple leaf disease detection models are commonly employed as reasonable alternatives to traditional visual inspection *** this background,the current paper devises an Effective Sailfish Optimizer with EfficientNet-based Apple Leaf disease detection(ESFO-EALD)*** goal of the proposed ESFO-EALD technique is to identify the occurrence of plant leaf diseases *** this scenario,median Filtering(mF)approach is utilized to boost the quality of apple plant leaf ***,SFO with Kapur’s entropy-based segmentation technique is also utilized for the identification of the affected plant region from test ***,Adam optimizer with EfficientNet-based feature extraction and Spiking Neural Network(SNN)-based classification are employed to detect and classify the apple plant leaf images.A wide range of simulations was conducted to ensure the effective outcomes of ESFO-EALD technique on benchmark *** results reported the supremacy of the proposed ESFO-EALD approach than the existing approaches.

关键词： Agriculture computer vision image processing deep learning metaheuristics image segmentation

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maternal betaine suppresses adrenal expression of cholesterol trafficking genes and decreases plasma corticosterone concentration in offspring pullets

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Journal of Animal Science and Biotechnology 2020年第1期11卷 241-250页

作者： Halima Abobaker Yun Hu Nagmeldin A.Omer Zhen Hou abdulrahman A.Idriss Ruqian Zhao mOE Joint International Research Laboratory of Animal Health&Food Safety Nanjing Agricultural UniversityNanjing 210095People’s Republic of China Key Laboratory of Animal Physiology&Biochemistry Nanjing Agricultural UniversityNanjing 210095People’s Republic of China College of Allied medical Sciences University of Nyala155 NyalaSudan.

Background:Laying hens supplemented with betaine demonstrate activated adrenal steroidogenesis and deposit higher corticosterone(CORT)in the egg *** we further investigate the effect of maternal betaine on the plasma CORT concentration and adrenal expression of steroidogenic genes in offspring ***:maternal betaine significantly reduced(Pma CORT concentration and the adrenal expression of vimentin that is involved in trafficking cholesterol to the mitochondria for utilization in offspring ***,voltage-dependent anion channel 1 and steroidogenic acute regulatory protein,the two mitochondrial proteins involved in cholesterol influx,were both down-regulated at m RNA and protein ***,enzymes responsible for steroid syntheses,such as cytochrome P450 family 11 subfamily A member 1 and cytochrome P450 family 21 subfamily A member 2,were significantly(Pm RNA or protein levels in the adrenal gland of pullets derived from betaine-supplemented ***,expression of transcription factors,such as steroidogenic factor-1,sterol regulatory element-binding protein 1 and c AmP response element-binding protein,was significantly(Pm target genes,such as 3-hydroxy-3-methyl-glutaryl-coenzyme A reductase,LDL receptor and sterol regulatory element-binding protein cleavage-activating *** promoter regions of most steroidogenic genes were significantly(Pmethylated,although methyl transfer enzymes,such as AHCYL,GNmT1 and BHmT were ***:These results indicate that the reduced plasma CORT in betaine-supplemented offspring pullets is linked to suppressed cholesterol trafficking into the mitochondria,despite the activation of cholesterol and corticosteroid synthetic genes associated with promoter hypomethylation.

关键词： Adrenal gland Chicken Cholesterol Corticosterone maternal betaine Steroidogenesis

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