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EfficientNet-Based Robust Recognition of Peach Plant Diseases in Field Images

Computers, Materials & Continua 2022年第4期71卷 2073-2089页

作者： Haleem Farman jamil Ahmad Bilal Jan Yasir Shahzad muhammad Abdullah Atta Ullah Department of Computer Science Islamia College Peshawar25120Pakistan Department of Computer Science FATA University Kohat26100Pakistan Department of Computer Science University of Peshawar25120Pakistan Agriculture Research Institute MingoraSwat19130Pakistan

Plant diseases are a major cause of degraded fruit quality andyield losses. These losses can be significantly reduced with early detection ofdiseases to ensure their timely treatment, particularly in developing *** this regard, an expert system based on deep learning model where the expertknowledge, particularly the one acquired by plant pathologist, is recursivelylearned by the system and is applied using a smart phone application for use inthe target field environment, is being proposed. In this paper, a robust diseasedetection method is developed based on convolutional neural network (CNN),where its powerful features extraction capabilities are leveraged to detectdiseases in images of fruits and leaves. The features extraction pipelines ofseveral state-of-the-art pretrained networks are fine-tuned to achieve optimaldetection performance. A novel dataset is collected from peach orchards andextensively augmented using both label-preserving and non-label-preservingtransformations. The augmented dataset is used to study the effects of finetuning the pretrained networks’ feature extraction pipeline as opposed tokeeping the network parameters unchanged. The CNN models, particularlyEfficientNet exhibited superior performance on the target dataset once theirfeature extraction pipelines are fine-tuned. The optimal model is able toachieve 96.6% average accuracy, 90% sensitivity and precision, and 98%specificity on the test set of images.

关键词： Peach diseases EfficientNet data augmentation transfer learning

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Effectively Handling Network Congestion and Load Balancing in Software-Defined Networking

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Computers, Materials & Continua 2022年第1期70卷 1363-1379页

作者： Shabir Ahmad Faisal jamil Abid Ali Ehtisham Khan muhammad Ibrahim Taeg Keun Whangbo Department of I.T.Convergence Engineering Gachon UniversitySujeong-GuSeongnam-Si461-701Gyeonggi-DoKorea Department of Computer Engineering Jeju National UniversityJeju-Si63243JejuKorea University of Engineering and Technology Taxila47080Pakistan The University of Haripur Haripur22620Pakistan

The concept of Software-Defined Networking(SDN)evolves to overcome the drawbacks of the traditional networks with Internet Protocol(I.P.)packets sending and packets *** SDN structure is one of the critical advantages of efficiently separating the data plane from the control plane tomanage the network configurations and network *** there aremultiple sending devices inside the SDNnetwork,theOpenFlow switches are programmed to handle the limited number of requests for their *** the recommendations are exceeded from the specific threshold,the load on the switches also *** research article introduces a new approach named LBoBS to handle load balancing by adding the load balancing server to the SDN ***,it is used to maximize SDN’s reliability and *** also works in coordination with the controller to effectively handle the load balancing *** load balancing server is implemented to manage the switches load *** are evaluated on the NS-3 simulator for packet delivery,bandwidth utilization,latency control,and packet decision ratios on the OpenFlow *** has been found that the proposed method improved SDN’s load balancing by 70%compared to the previous state-of-the-art methods.

关键词： SDN control plane load balancing decision tree CPU utilization

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Management Practices of Locally Advanced and Metastatic Urothelial Carcinoma: A Questionnaire-Based Survey among Lebanese Oncologists

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Open Journal of Urology 2024年第2期14卷 138-149页

作者： Joseph Kattan Sally Temraz Fadi Nasr Arafat Tfayli Christina Khater Anas Mugharbel Hady Ghanem Hampig Raphael Kourie Georges Hachem Sarah Masri jamil Debs Ali Shamseddine Department of Hematology-Oncology H&#244tel-Dieu de France University Hospital Faculty of Medicine Saint-Joseph University of Beirut Beirut Lebanon Department of Internal Medicine Hematology-Oncology Division American University of Beirut Medical Center Beirut Lebanon Hematology-Oncology Division American University of Beirut Medical Center Beirut Lebanon Department of Hematology-Oncology Saint Charles Hospital Beirut Lebanon Department of Internal Medicine Makassed General Hospital Beirut Lebanon Hematology-Oncology Division Lebanese American University Medical Center - Rizk Hospital Beirut Lebanon Department of Hematology-Oncology Saint George Hospital University Medical Center Beirut Lebanon Pfizer Medical Affairs Beirut Lebanon

Background and Objective: The outcome of locally advanced and metastatic urothelial carcinoma LA/mUC has improved over the past years with a plethora of new treatments and the approval of immune checkpoint inhibitors (ICIs), antibody-drug conjugates, and targeted agents, to identify locally advanced metastatic urothelial carcinoma’s current management practices in Lebanon and the implication of the ongoing economic crisis on the medical practice. Methods: An online questionnaire was used to survey ten Lebanese oncologists from six different hospitals, between July 5 and July 11, 2022, requesting information pertaining to their current clinical practice in the pharmacological treatment of locally advanced metastatic urothelial carcinoma. Key Findings: Cisplatin-based chemotherapy was the most frequently reported initial treatment of locally advanced metastatic urothelial carcinoma. Participants reported using immune checkpoint inhibitors in platinum-ineligible patients and those with PDL1 positive tumors. Also, they would not consider the concomitant use of immunotherapy and chemotherapy in the first-line setting. Participants believed that avelumab maintenance is effective in the absence of progression after first-line platinum-based chemotherapy;they would consider initiating it 2 - 10 weeks after completion of chemotherapy. Conclusions and Clinical Implications: After comparing with current international guidelines, this study shows that Lebanese oncologists follow international guidelines and have deep knowledge of recent clinical trials for the management of locally advanced metastatic urothelial carcinoma, regardless of economic crisis challenges.

关键词： Clinical Practice Chemotherapy Immune Checkpoint Inhibitors PDL1 Urothelial Carcinoma

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Maintain Optimal Configurations for Large Configurable Systems Using Multi-Objective Optimization

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Computers, Materials & Continua 2022年第11期73卷 4407-4422页

作者： muhammad Abid jamil Deafallah Alsadie Mohamed K.Nour Normi Sham Awang Abu Bakar Department of Computer Science Umm Al-Qura UniversityMakkahSaudi Arabia Kulliyyah of Information and Communication Technology International Islamic UniversityMalaysia

To improve the maintenance and quality of software product lines,efficient configurations techniques have been ***,due to the complexity of derived and configured products in a product line,the configuration process of the software product line(SPL)becomes timeconsuming and *** product line consists of a various number of feature models that need to be *** different approaches have been presented by Search-based software engineering(SBSE)to resolve the software engineering issues into computational solutions using some metaheuristic ***,multiobjective evolutionary algorithms help to optimize the configuration process of *** this paper,different multi-objective Evolutionary Algorithms like Non-Dominated Sorting Genetic algorithms II(NSGA-II)and NSGA-III and Indicator based Evolutionary Algorithm(IBEA)are applied to different feature models to generate optimal results for large *** proposed approach is also used to generate the optimized test suites with the help of different multi-objective Evolutionary Algorithms(MOEAs).

关键词： Software product line search-based software engineering metaheuristic multiobjective evolutionary algorithms feature model

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Assessment of Sea Water Inundation Along Daboo Creek Area in Indus Delta Region, Pakistan

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Journal of Ocean University of China 2017年第6期16卷 1055-1060页

作者： ZIA Ibrahim ZAFAR Hina SHAHZAD muhammad I. MERAJ Mohsin KAZMI jamil H. National Institute of Oceanography (NIO) Karachi 75600 Pakistan Department of Geography University of Karachi 75270 Pakistan Earth & Atmospheric Remote Sensing Laboratory (EARL) Department of Meteorology COMSATS Institute of Information Technology (CIIT) Park Road Islamabad 45550 Pakistan

Indus Deltaic Region(IDR) in Pakistan is an erosion vulnerable coast due to the high deep water wave energy. Livelihood of millions of people depends on the fisheries and mangrove forests in IDR. IDR consists of many creeks where Daboo is a major creek located at southeast of the largest city of Pakistan, Karachi. Unfortunately, there has been no detailed study to analyze the damages of sea water intrusion at a large temporal and spatial scale. Therefore, this study is designed to estimate the effects of sea water inundation based on changing sea water surface salinity and sea surface temperature(SST). Sea surface salinity and SST data from two different surveys in Daboo creek during 1986 and 2010 are analyzed to estimate the damages and extent of sea water intrusion. Mean salinity has increased 33.33% whereas mean SST decreased 13.79% from 1987 to 2010. Spatio-temporal analysis of creek area using LANDSAT 5 Thematic mapper(TM) data for the years 1987 and 2010 shows significant amount of erosion at macro scale. Creek area has increased approximately 9.93%(260.86 m^2 per year) which is roughly equal to 60 extensive sized shrimp farms. Further Land Use Land Cover(LULC) analyses for years 2001 and 2014 using LANDSAT 7 Enhanced Thematic Mapper Plus(ETM+) has indicated 42.3% decrease in cultivated land. Wet mud flats have spread out at the inner mouth of creek with enormous increase of 123.3%. Significant sea water intrusion has increased the area of barren land by 37.9%. This also resulted in overall decrease of 6.7% in area covered by mangroves. Therefore, this study recorded a significant evidence of sea water intrusion in IDR that has caused serious damages to community living in the area, economical losses. Additionally, it has also changed the environment by reducing creek biological productivity as reported by earlier studies over other regions of the world.

关键词： sea water intrusion SST salinity Ambro creek CTD

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Metabolomics in drug discovery: Restoring antibiotic pipeline

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亚太热带生物医学杂志:英文版 2023年第9期13卷 378-383页

作者： Faiza Azhar Mariam Busharat Shah Rukh Arshad Chaudhary Zainab Waheed muhammad Nauman jamil Department of Pharmaceutical Chemistry Punjab University College of PharmacyUniversity of the PunjabLahorePakistan School of Medical Indigenous and Health SciencesUniversity of WollongongNew South WalesAustralia Department of General Surgery Lahore General HospitalLahorePakistan Department of Pharmaceutical Chemistry Hamza College of PharmacyLahorePakistan

Metabolomics has emerged as a valuable tool in drug discovery and development,providing new insights into the mechanisms of action and toxicity of potential therapeutic *** focuses on the comprehensive analysis of primary as well as secondary metabolites,within biological *** provides a comprehensive understanding of the metabolic changes that occur within microbial pathogens when exposed to therapeutic agents,thus allowing for the identification of unique metabolic targets that can be exploited for therapeutic *** approach can also uncover key metabolic pathways essential for survival,which can serve as potential targets for novel *** analyzing the metabolites produced by diverse microbial communities,metabolomics can guide the discovery of previously unexplored sources of *** review explores some examples that enable medicinal chemists to optimize drug structure,enhancing efficacy and minimizing toxicity via metabolomic approaches.

关键词： Metabolomics Infectious diseases Drug discovery Antibiotics Biomarkers

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Decision Support System for Diagnosis of Irregular Fovea

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Computers, Materials & Continua 2022年第6期71卷 5343-5353页

作者： Ghulam Ali Mallah jamil Ahmed muhammad Irshad Nazeer Mazhar Ali Dootio Hidayatullah Shaikh Aadil Jameel Shah Abdul Latif University Khairpur77150Pakistan Sukkur IBA University Sukkur7720Pakistan Shaheed Benazir University Layari Karachi77202Pakistan

Detection of abnormalities in human eye is one of the wellestablished research areas of Machine *** Learning techniques are widely used for the diagnosis of RetinalDiseases(RD).Fovea is one of the significant parts of retina which would be prevented before the involvement of Perforated Blood Vessels(PBV).Retinopathy Images(RI)contains sufficient information to classify structural changes incurred upon PBV but Macular Features(MF)and Fovea Features(FF)are very difficult to detect because features ofMFand FF could be found with Similar Color Movements(SCM)with minor *** paper presents novel method for the diagnosis of Irregular Fovea(IF)to assist the doctors in diagnosis of irregular *** considering all above problems this paper proposes a three-layer decision support system to explore the hindsight knowledge of RI and to solve the classification problem of *** first layer involves data preparation,the second layer builds the decision model to extract the hidden patterns of fundus images by using Deep Belief Neural Network(DBN)and the third layer visualizes the results by using confusion *** paper contributes a data preparation algorithm for irregular fovea and a highest estimated classification accuracy measured about 96.90%.

关键词： Machine learning deep belief neural network eye disease fovea

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Global trends in hepatitis C-related hepatocellular carcinoma mortality:A public database analysis(1999-2019)

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World Journal of Virology 2024年第1期13卷 69-83页

作者： Hassam Ali Fnu Vikash Vishali Moond Fatima Khalid Abdur Rehman jamil Dushyant Singh Dahiya Amir Humza Sohail Manesh Kumar Gangwani Pratik Patel Sanjaya K Satapathy Department of Internal Medicine/Gastroenterology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine Jacobi Medical Center/Albert Einstein College of MedicineBronxNY 10461United States Department of Internal Medicine Saint Peter's University Hospital/Robert Wood Johnson Medical SchoolNew BrunswickNJ 08901United States Department of Internal Medicine Quaid-e-Azam Medical CollegeBahawalpur 63100PunjabPakistan Department of Internal Medicine Samaritan Medical CentreWatertownMA 13601United States Division of Gastroenterology Hepatology&MotilityThe University of Kansas School of MedicineKansas CityKS 66160United States Department of Surgery New York University Winthrop HospitalNew YorkMineloaNY 11501United States Department of Internal Medicine The University of ToledoToledoOH 43606United States Department of Gastroenterology Mather Hospital/Hofstra University Zucker School of MedicineNY 11777United States Division of Hepatology Department of MedicineNorth Shore University HospitalManhassetNY 11030United States

BACKGROUND Hepatitis C is the leading cause of chronic liver disease worldwide and it significantly contributes to the burden of hepatocellular carcinoma(HCC).However,there are marked variations in the incidence and mortality rates of HCC across different geographical *** the advent of new widely available treatment modalities,such as direct-acting antivirals,it is becoming increasingly imperative to understand the temporal and geographical trends in HCC mortality associated with Hepatitis ***,gender disparities in HCC mortality related to Hepatitis C are a crucial,yet underexplored aspect that adds to the disease's global *** some studies shed light on gender-specific trends,there is a lack of comprehensive data on global and regional mortality rates,particularly those highlighting gender *** gap in knowledge hinders the development of targeted interventions and resource allocation *** The results of our study show an overall decline in the mortality rates of patients with hepatitis C-related HCC over the last two ***,females exhibited a remarkable decrease in mortality compared to ***,East Asia and the Pacific displayed a significant decline in mortality,while Europe and Central Asia witnessed an upward *** America and the Caribbean also experienced an increase in mortality ***,no significant difference was observed in the Middle East and North *** America exhibited a notable upward *** Asia and Sub-Saharan Africa significantly declined throughout the study *** raises the hope of identifying areas for implementing more targeted *** some progress,multiple challenges remain in meeting the WHO 2030 goal of eliminating viral hepatitis[24].

关键词： Carcinoma Hepatocellular Antiviral agents Global Burden of Disease Quality indicators Health care Liver neoplasms Hepatitis C Chronic hepatitis C

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Heat Transfer Analysis for Dropwise-Filmwise Hybrid Surface of Steam on Vertical Plate

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Journal of Thermal Science 2021年第3期30卷 962-972页

作者： ALHASHEM Abdulwahab KHAN jamil School of Technological Studies Public Authority for Applied Education and TrainingSafat 13092Kuwait Mechanical Engineering Department College of Engineering and ComputingUniversity of South CarolinaColumbiaSC 29201USA

A model is proposed to predict and evaluate the heat transfer characteristics of dropwise-filmwise hybrid *** is approached by modifying the original drop-size distribution,which is defined for fully dropwise condensation(DWC)and making it applicable for dropwise-filmwise condensation(DFC).The modification is achieved by simulation work to determine two parameters:the area fraction occupied by large drops f and the ratio of the maximum radius of newly formed drops to that of larger drops γ.Simulation results show a good agreement with the literature for fully DWC and provide a correlation for each parameter with respect to DWC region width in the DFC hybrid *** present model evaluates the heat transfer performance of DFC by utilizing these correlations.A comparison is made between the proposed model with experimental work from the literature and results show a good *** changing filmwise condensation(FWC)region width significantly affects the overall heat transfer performance,utilizing smaller width to that of DWC region has the advantage over fully ***,surface renewal within the hydrophobic region is controlled by adjusting the DWC region *** the ratio of drop maximum diameter to DWC region width is unity,surface renewal is achieved by drops merging to adjacent FWC regions *** the ratio is less than unity,surface renewal is achieved by sweeping of departing drops within the hydrophobic region and by *** each case,an optimum DWC region width which corresponds to the maximum DFC heat flux is defined.

关键词： dropwise-filmwise hybrid surface dropwise condensation region width filmwise condensation region width drop-size distribution maximum radius to region width ratio

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Detection of Left Ventricular Cavity from Cardiac MRI Images Using Faster R-CNN

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Computers, Materials & Continua 2023年第1期74卷 1819-1835页

作者： Zakarya Farea Shaaf muhammad Mahadi Abdul jamil Radzi Ambar Ahmed Abdu Alattab Anwar Ali Yahya Yousef Asiri Faculty of Electrical and Electronic Engineering Universiti Tun Hussein Onn MalaysiaParit RajaBatu Pahat86400JohorMalaysia Department of Computer Science College of Science and ArtsSharurahNajran UniversityNajran61441Saudi Arabia Department of Computer Science Faculty of Computer Science and Info.SystemsThamar UniversityDhamar87246Yemen Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

The automatic localization of the left ventricle(LV)in short-axis magnetic resonance(MR)images is a required step to process cardiac images using convolutional neural networks for the extraction of a region of interest(ROI).The precise extraction of the LV’s ROI from cardiac MRI images is crucial for detecting heart disorders via cardiac segmentation or ***,this task appears to be intricate due to the diversities in the size and shape of the LV and the scattering of surrounding tissues across different ***,this study proposed a region-based convolutional network(Faster R-CNN)for the LV localization from short-axis cardiac MRI images using a region proposal network(RPN)integrated with deep feature classification and *** was trained using images with corresponding bounding boxes(labels)around the LV,and various experiments were applied to select the appropriate layers and set the suitable *** experimental findings showthat the proposed modelwas adequate,with accuracy,precision,recall,and F1 score values of 0.91,0.94,0.95,and 0.95,*** model also allows the cropping of the detected area of LV,which is vital in reducing the computational cost and time during segmentation and classification ***,itwould be an ideal model and clinically applicable for diagnosing cardiac diseases.

关键词： Cardiac short-axis MRI images automatic left ventricle localization deep learning models faster R-CNN

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