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Intelligent Traffic Surveillance through Multi-Label Semantic Segmentation and Filter-Based Tracking

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Computers, Materials & Continua 2023年第9期76卷 3707-3725页

作者： Asifa Mehmood Qureshi Nouf abdullah Almujally Saud S.Alotaibi mohammed hamad Alatiyyah Jeongmin Park Department of Creative Technologies Air UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Information Systems Department Umm Al-Qura UniversityMakkahSaudi Arabia Department of Computer Science College of Sciences and Humanities in AflajPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Engineering Tech University of KoreaSiheung-siGyeonggi-do15073Korea

Road congestion,air pollution,and accident rates have all increased as a result of rising traffic density andworldwide population *** the past ten years,the total number of automobiles has increased significantly over the *** this paper,a novel method for intelligent traffic surveillance is *** proposed model is based on multilabel semantic segmentation using a random forest classifier which classifies the images into five *** improve the results,mean-shift clustering was applied to the segmented ***,the pixels given the label for the vehicle were extracted and blob detection was applied to mark each *** the validation of each detection,a vehicle verification method based on the structural similarity index is *** tracking of vehicles across the image frames is done using the Identifier(ID)assignment technique and particle ***,vehicle counting in each frame along with trajectory estimation was done for each *** proposed system demonstrated a remarkable vehicle detection rate of 0.83 over Vehicle Aerial Imaging from Drone(VAID),0.86 over AU-AIR,and 0.75 over the Unmanned Aerial Vehicle Benchmark Object Detection and Tracking(UAVDT)dataset during the experimental *** proposed system can be used for several purposes,such as vehicle identification in traffic,traffic density estimation at intersections,and traffic congestion sensing on a road.

关键词： Traffic surveillance multi-label segmentation random forest particle filter computer vision

Liver transplantation in Wilson's disease: Single center experience from Saudi Arabia

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World Journal of Hepatology 2013年第3期5卷 127-132页

作者： Musthafa Chalikandy Peedikayil hamad Ibrahim Al Ashgar abdullah Al Mousa mohammed Al Sebayel Khalid Al Kahtani Faisal Aba Alkhail Department of Medicine King Faisal Specialist Hospital and Research Center Liver Transplantation and Hepatobiliary Surgery King Faisal Specialist Hospital and Research Center

AIM: To determine liver transplantation outcomes in Wilson's disease (WD) patients, focusing on neurological manifestations. METHODS: This retrospective study assessed data from 16 WD patients (nine males, 56%) who had liver transplants between 1991 and 2007. Survival, graft function, and neurological complications were assessed during a follow-up period of up to 15 years. In addition, each patient's medical record was reviewed in detail to find the type of Wilson's disease (hepatic or hepatic plus neurological WD), indication for liver transplantation, use of chelating agents prior to transplantation, immediate and long term complications following transplantation, the donor details, and the pathology of explanted liver. RESULTS: End-stage liver disease was the indication for transplantation in all 16 WD patients. Four patients displayed WD-related neurological symptoms in addition to liver disease. Living-related liver transplantation was done in three cases. One patient died on postoperative day 6 due to primary graft non-function. Oneyear post liver transplant survival was 94%. Neurological manifestations of all four patients disappeared during their follow-up. Four patients developed acute cellular rejection, but all responded to treatment. One patient developed chronic ductopenic rejection after 15 years post-transplantation and their graft failed; this patient is currently waiting for re-transplantation. Fourteen patients (88%) are still living. The long-term average survival is currently 10.5 years, with a current median survival of 8 years. Long-term graft survival is currently 81%. CONCLUSION: Shortand long-term survival in WD patient liver transplantation was excellent, and neurological and psychological WD manifestations disappeared during long-term follow-up.

关键词： Wilson’s disease Liver transplantation Neurological Psychiatric Penicillamine Saudi Arabia Transplantation

Five-year retrospective hospital-based study on epidemiological data regarding human leishmaniasis in West Kordofan state,Sudan

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World Journal of Clinical Infectious Diseases 2022年第2期12卷 61-68页

作者： abdullah Abdulslam abdullah Musa Ahmed Ahmed Gadeed Adam Eltayeb Safa Ahmed Suad hamad mohammed Hussein Department of Biomedical Sciences Faculty of Veterinary SciencesUniversity of GadarifGadarif 208Sudan Department of Reproductive Health Sciences Pan African University Life and Earth Sciences InstituteUniversity of IbadanIbadan 119Oyo StateNigeria Department of Veterinary Surgery and Anaesthesia Faculty of Veterinary MedicineALsalam UniversityAl-fula 120West Kordofan StateSudan Environmental Studies and Research Center Al-Salam UniversityAl-fula 120West Kordofan StateSudan Al-Sadaga Hospital Al-fula 124West Kordofan StateSudan Department of Zoonotic Disease and Disease Control Ministry of Animal ResourcesAl-Hamadi 215South Kordofan StateSudan Department of Statistics and Health Information Ministry of HealthAlfula 127West Kordofan StateSudan

BACKGROUND Leishmaniasis is a neglected zoonotic disease,endemic in *** this disease is very important to inform the health care policymakers and the governments to apply proper health and economic *** To find out the frequency and distribution of human leishmaniasis based on sex and age for 5 years in the West Kordofan state,*** A 5-year retrospective study from 2016 through 2020 was carried out using local hospital records of leishmaniasis *** positive results were recorded after performing at least one of the following leishmaniasis standard tests:direct agglutination test,enzyme-linked immunosorbent assay and leishmania skin *** sex and age of each patient were *** collected data were analyzed using STATA package version *** A total of 162443 patient records from 2016 to 2020 were *** these,4.39%were found to be positive for *** disease has been more common in males(65.3%)than in females(34.7%).The highest reported prevalence(6.58%)was in patients 15-44 years,and the lowest prevalence(1.95%)was among patients≥65 *** The results of the current study indicate that leishmaniasis is endemic in the study area even though the numbers of patients in the 5 consecutive years were *** addition,the disease was common in males and *** interpretation of these findings should take into consideration the absence of information about some important confounding factors.

关键词： Epidemiology Human Leishmaniasis West Kordofan Sudan Endemicity

Vehicle Detection and Tracking in UAV Imagery via YOLOv3 and Kalman Filter

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Computers, Materials & Continua 2023年第7期76卷 1249-1265页

作者： Shuja Ali Ahmad Jalal mohammed hamad Alatiyyah Khaled Alnowaiser Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Computer Science College of Sciences and Humanities in AflajPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Engineering College of Computer Engineering and SciencesPrince Sattam Bin Abdulaziz UniversityAl-Kharj11942Saudi Arabia Department of Computer Engineering Tech University of Korea237 Sangidaehak-roSiheung-si15073Gyeonggi-doKorea

Unmanned aerial vehicles(UAVs)can be used to monitor traffic in a variety of settings,including security,traffic surveillance,and traffic *** academics have been drawn to this topic because of the challenges and the large variety of *** paper proposes a new and efficient vehicle detection and tracking system that is based on road extraction and identifying objects on *** is inspired by existing detection systems that comprise stationary data collectors such as induction loops and stationary cameras that have a limited field of view and are not *** goal of this study is to develop a method that first extracts the region of interest(ROI),then finds and tracks the items of *** suggested system is divided into six *** photos from the obtained dataset are appropriately georeferenced to their actual locations in the first phase,after which they are all *** ROI,or road and its objects,are retrieved using the GrabCut method in the second *** third phase entails data *** segmented images’noise is eliminated using Gaussian blur,after which the images are changed to grayscale and forwarded to the following stage for additional morphological *** YOLOv3 algorithm is used in the fourth step to find any automobiles in the *** that,the Kalman filter and centroid tracking are used to perform the tracking of the detected *** Lucas-Kanade method is then used to perform the trajectory analysis on the *** suggested model is put to the test and assessed using the Vehicle Aerial Imaging from Drone(VAID)*** detection and tracking,the model was able to attain accuracy levels of 96.7%and 91.6%,respectively.

关键词： Kalman filter georeferencing object detection object tracking YOLO

Multiple Pedestrian Detection and Tracking in Night Vision Surveillance Systems

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Computers, Materials & Continua 2023年第5期75卷 3275-3289页

作者： Ali Raza Samia Allaoua Chelloug mohammed hamad Alatiyyah Ahmad Jalal Jeongmin Park Department of Computer Science Air UniversityIslamabad44000Pakistan Department of Information Technology College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Science College of Sciences and Humanities in AflajPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Engineering Tech University of Korea237 Sangidaehak-roSiheung-siGyeonggi-do15073Korea

Pedestrian detection and tracking are vital elements of today’s surveillance systems,which make daily life safe for ***,human detection and visualization have become essential inventions in the field of computer ***,developing a surveillance system with multiple object recognition and tracking,especially in low light and night-time,is still ***,we propose a novel system based on machine learning and image processing to provide an efficient surveillance system for pedestrian detection and tracking at *** particular,we propose a system that tackles a two-fold problem by detecting multiple pedestrians in infrared(IR)images using machine learning and tracking them using particle ***,a random forest classifier is adopted for image segmentation to identify pedestrians in an *** result of detection is investigated by particle filter to solve pedestrian *** the extensive experiment,our system shows 93%segmentation accuracy using a random forest algorithm that demonstrates high accuracy for background and roof ***,the system achieved a detection accuracy of 90%usingmultiple templatematching techniques and 81%accuracy for pedestrian ***,our system can identify that the detected object is a ***,our system provided the best results compared to the state-ofart systems,which proves the effectiveness of the techniques used for image segmentation,classification,and *** presented method is applicable for human detection/tracking,crowd analysis,and monitoring pedestrians in IR video surveillance.

关键词： Pedestrian detection machine learning segmentation tracking verification

A Novel Capability of Object Identification and Recognition Based on Integrated mWMM

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Computers, Materials & Continua 2023年第4期75卷 959-976页

作者： MZeeshan Sarwar mohammed hamad Alatiyyah Ahmad Jalal Mohammad Shorfuzzaman Nawal Alsufyani Jeongmin Park Department of Computer Science Air UniversityIslamabadPakistan Department of Computer Science College of Sciences and Humanities in AflajPrince Sattam Bin Abdulaziz UniversityAl-KharjSaudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering Tech University of Korea237 Sangidaehak-roSiheung-siGyeonggi-do15073Korea

In the last decade,there has been remarkable progress in the areas of object detection and recognition due to high-quality color images along with their depth maps provided by RGB-D *** enable artificially intelligent machines to easily detect and recognize objects and make real-time decisions according to the given *** cues can improve the quality of object detection and *** main purpose of this research study to find an optimized way of object detection and identification we propose techniques of object detection using two RGB-D *** proposed methodology extracts image normally from depth maps and then performs clustering using the Modified Watson Mixture Model(mWMM).mWMM is challenging to handle when the quality of the image is not ***,the proposed RGB-D-based system uses depth cues for segmentation with the help of *** it extracts multiple features from the segmented *** selected features are fed to the Artificial Neural Network(ANN)and Convolutional Neural Network(CNN)for detecting *** achieved 92.13%of mean accuracy over NYUv1 dataset and 90.00%of mean accuracy for the Redweb_v1 ***,their results are compared and the proposed model with CNN outperforms other state-of-the-art *** proposed architecture can be used in autonomous cars,traffic monitoring,and sports scenes.

关键词： Artificial intelligence convolutional neural network depth images interactive-object detection machine learning

Biosynthesized CS-MgO/zeolite hybrid material:An efficient adsorbent for chlorpyrifos removal-Kinetic studies and response surface methodology

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Emerging Contaminants 2024年第3期10卷 304-317页

作者： mohammed T.M.H.hamad Belal N.A.Mahran Central Laboratory for Environmental Quality Monitoring National Water Research CenterEgypt

The prevalence of organophosphate pesticides in aquatic environments raises severe concerns on a global ***,an insecticide,is included in a class of organophosphate *** is widely used on agricultural lands to control pests in cotton,fruit,and *** acute toxicity of chlorpyrifos is still dangerous to all aquatic living *** the treatment of water contaminated with chlorpyrifos is an important *** recent decade has witnessed adsorption technology emerging as an advanced organophosphate pesticide wastewater treatment with great potential and a grand blueprint,in which the specific surface area and active sites of the adsorbent are considered to be the two most important characteristics largely impacting the adsorption *** this study,a CS-MgO/Zeolite composite was prepared by the microbial method as an effective adsorbent for the removal of chlorpyrifos from an aqueous *** adsorbent's properties were carefully characterized using Xray diffraction,scanning electron microscopy,and Fourier-transform infrared *** refinement of experimental conditions,encompassing variations in adsorbent dosage,contact time,and chlorpyrifos concentration at five discrete levels,was systematically undertaken through the utilization of a composite central design rooted in response surface *** solution pH played a key role in chlorpyrifos removal,and a pH of 7.0 was selected according to its high adsorption *** highest removal(80.9%)of chlorpyrifos by CS-MgO/Zeolite was obtained at an optimum pH of 7,a contact time of 40 min,an adsorbent dosage of 0.4 g/L,and a chlorpyrifos concentration of 5 mg/L^(-1).The adsorption results were highly fitted with the Freundlich adsorption isotherm model,and the maximum adsorption was 83.3 mg/*** studies indicate that the removal of chlorpyrifos followed the pseudo-secondorder model of adsorption(0.994).The thermodynamic parameters indicate the sponta

关键词： Chlorpyrifos adsorption CS-MgO/Zeolite Response surface methodology

Fractional Order Modeling of Predicting COVID-19 with Isolation and Vaccination Strategies in Morocco

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Computer Modeling in Engineering & Sciences 2023年第8期136卷 1931-1950页

作者： Lakhlifa Sadek Otmane Sadek hamad Talibi Alaoui mohammed S.Abdo Kamal Shah Thabet Abdeljawad Laboratory of Engineering Sciences for Energy National School of Applied SciencesChouaib Doukkali UniversityEl Jadida10002Morocco Department of Mathematics Faculty of SciencesChouaib Doukkali UniversityEl Jadida10002Morocco Department of Mathematics Hodeidah UniversityAl-Hudaydah91911Yemen Department of Mathematics and Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Mathematics University of MalakandChakdara Dir(L)Khyber Pakhtankhawa18000Pakistan Department of Medical Research China Medical UniversityTaichung40402Taiwan

In this work,we present a model that uses the fractional order Caputo derivative for the novel Coronavirus disease 2019(COVID-19)with different hospitalization strategies for severe and mild cases and incorporate an awareness *** generalize the SEIR model of the spread of COVID-19 with a private focus on the transmissibility of people who are aware of the disease and follow preventative health measures and people who are ignorant of the disease and do not follow preventive health ***,individuals with severe,mild symptoms and asymptomatically infected are also *** basic reproduction number(R0)and local stability of the disease-free equilibrium(DFE)in terms of R0 are ***,the uniqueness and existence of the solution are *** simulations are performed by using some real values of ***,the immunization of a sample of aware susceptible individuals in the proposed model to forecast the effect of the vaccination is also ***,an investigation of the effect of public awareness on transmission dynamics is one of our aim in this ***,a prediction about the evolution of COVID-19 in 1000 days is *** the qualitative theory of the existence of a solution,we use some tools of nonlinear analysis,including Lipschitz ***,for the numerical interpretation,we use the Adams-Moulton-Bashforth *** the numerical results are presented graphically.

关键词： Fractional calculus caputo derivatives COVID-19 reproduction number future prediction

Topographic characteristics of keratoconus among a sample of Jordanian patients

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International Journal of Ophthalmology(English edition) 2014年第4期7卷 714-719页

作者： mohammed Ali Abu Ameerh Nathalie Bussières Ghada Ismail hamad Muawyah Dawoud Al Bdour The University of Jordan Faculty of Applied Medical Sciences German Jordanian University

· AIM: To identify topographic characteristics of keratoconus in a Jordanian sample.· METHODS: This study characterized 210 corneas affected with keratoconus presenting to Jordan University Hospital. Patients were diagnosed based on clinical examinations and Pentacam imaging. Eyes of males(n =101) were of a similar proportion to females(n =109). All of the 111 patients were affected *** ranged between 13 and 44 y with a mean age of25.2y.· RESULTS: Results revealed significant differences between males and females at the level of the flat curvature power, basement membrane thickness and size of the anterior chamber. Eyes were arranged in three groups based on severity levels: mild, moderate and severe determined by the mean curvature power(Km).Results show that the flat(K1) and steep(K2) curvature powers, corneal asphericity coefficient(QV), thinnest point, pachy apex and basement membrane thickness are significantly different among the three groups, but not the corneal and anterior chamber *** analyses, based on sagittal maps, show no differences in keratometric values between eyes with different sagittal patterns except for the vertical location of the pachy apex relative to the pupil center and the thinnest point. Eyes with the island front elevation map are significantly more affected than eyes with the U shape and the ridge pattern.· CONCLUSION: All keratometric values measured except for corneal and anterior chamber volumes vary significantly with disease severity. The vertical pachy apex location correlates well with severity levels while the horizontal location seems to have no effect. Ourstudy also indicates that front elevation maps may be a better predictor of the severity of keratoconus than sagittal maps.

关键词： keratoconus morphology of keratoconus topographic characteristics