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Robust Machine Learning Technique to Classify COVID-19 Using Fusion of Texture and Vesselness of X-Ray Images

Computer Modeling in Engineering & Sciences 2024年第2期138卷 1981-2004页

作者： Shaik Mahaboob Basha victor hugo cde albuquerque Samia Allaoua Chelloug Mohamed Abd Elaziz Shaik Hashmitha Mohisin Suhail Parvaze Pathan Department of Electronics and Communication Engineering N.B.K.R.Institute of Science&TechnologyVidyanagarAndhra Pradesh524413India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Information Technology Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh84428Saudi Arabia Department of Mathematics Faculty of ScienceZagazig UniversityZagazig44519Egypt Faculty of Computer Science and Engineering Galala UniversitySuez435611Egypt Artificial Intelligence Research Center(AIRC) College of Engineering and Information TechnologyAjman UniversityAjmanUnited Arab Emirates Department of Electrical and Computer Engineering Lebanese American UniversityByblos13-5053Lebanon Department of Avionics Indian Institute of Space Science and TechnologyThiruvananthapuramKerala695547India Department of Veterinary Clinical Sciences University of MinnesotaSt.PaulMinnesota55108USA

Manual investigation of chest radiography(CXR)images by physicians is crucial for effective decision-making in COVID-19 ***,the high demand during the pandemic necessitates auxiliary help through image analysis and machine learning *** study presents a multi-threshold-based segmentation technique to probe high pixel intensity regions in CXR images of various pathologies,including normal *** information is extracted using gray co-occurrence matrix(GLCM)-based features,while vessel-like features are obtained using Frangi,Sato,and Meijering *** learning models employing Decision Tree(DT)and RandomForest(RF)approaches are designed to categorize CXR images into common lung infections,lung opacity(LO),COVID-19,and viral pneumonia(VP).The results demonstrate that the fusion of texture and vesselbased features provides an effective ML model for aiding *** ML model validation using performance measures,including an accuracy of approximately 91.8%with an RF-based classifier,supports the usefulness of the feature set and classifier model in categorizing the four different ***,the study investigates the importance of the devised features in identifying the underlying pathology and incorporates histogrambased *** analysis reveals varying natural pixel distributions in CXR images belonging to the normal,COVID-19,LO,and VP groups,motivating the incorporation of additional features such as mean,standard deviation,skewness,and percentile based on the filtered ***,the study achieves a considerable improvement in categorizing COVID-19 from LO,with a true positive rate of 97%,further substantiating the effectiveness of the methodology implemented.

关键词： Chest radiography(CXR)image COVID-19 classifier machine learning random forest texture analysis

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Automatic Detection of COVID-19 Infection Using Chest X-Ray Images Through Transfer Learning

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IEEE/CAA Journal of Automatica Sinica 2021年第1期8卷 239-248页

作者： Elene Firmeza Ohata Gabriel Maia Bezerra João victor Souza das Chagas Aloísio Vieira Lira Neto Adriano Bessa albuquerque victor hugo cde albuquerque Pedro Pedrosa Rebouças Filho the Universidade Federal do Ceará FortalezaCE 60455-970and also with the Instituto Federal do CearáFortalezaCE 60040-215Brazil the Instituto Federal do Ceará FortalezaCE 60040-215Brazil the Universidade de Fortaleza FortalezaCE 60811-905Brazil

The new coronavirus(COVID-19),declared by the World Health Organization as a pandemic,has infected more than 1 million people and killed more than 50 *** infection caused by COVID-19 can develop into pneumonia,which can be detected by a chest X-ray exam and should be treated *** this work,we propose an automatic detection method for COVID-19 infection based on chest X-ray *** datasets constructed for this study are composed of194 X-ray images of patients diagnosed with coronavirus and 194 X-ray images of healthy *** few images of patients with COVID-19 are publicly available,we apply the concept of transfer learning for this *** use different architectures of convolutional neural networks(CNNs)trained on Image Net,and adapt them to behave as feature extractors for the X-ray ***,the CNNs are combined with consolidated machine learning methods,such as k-Nearest Neighbor,Bayes,Random Forest,multilayer perceptron(MLP),and support vector machine(SVM).The results show that,for one of the datasets,the extractor-classifier pair with the best performance is the Mobile Net architecture with the SVM classifier using a linear kernel,which achieves an accuracy and an F1-score of 98.5%.For the other dataset,the best pair is Dense Net201 with MLP,achieving an accuracy and an F1-score of 95.6%.Thus,the proposed approach demonstrates efficiency in detecting COVID-19 in X-ray images.

关键词： Convolutional neural networks(CNNs) COVID-19 transfer learning X-ray

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Reliable Data Collection Model and Transmission Framework in Large-Scale Wireless Medical Sensor Networks

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Computer Modeling in Engineering & Sciences 2024年第7期140卷 1077-1102页

作者： Haosong Gou Gaoyi Zhang RenêRipardo Calixto Senthil Kumar Jagatheesaperumal victor hugo C.de albuquerque China Mobile Group Sichuan Co. Ltd.Chengdu640041China Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil Department of Electronics&Communication Engineering Mepco Schlenk Engineering CollegeSivakasi626005India

Large-scale wireless sensor networks(WSNs)play a critical role in monitoring dangerous scenarios and responding to medical ***,the inherent instability and error-prone nature of wireless links present significant challenges,necessitating efficient data collection and reliable transmission *** paper addresses the limitations of existing data transmission and recovery protocols by proposing a systematic end-to-end design tailored for medical event-driven cluster-based large-scale *** primary goal is to enhance the reliability of data collection and transmission services,ensuring a comprehensive and practical *** approach focuses on refining the hop-count-based routing scheme to achieve fairness in forwarding ***,it emphasizes reliable data collection within clusters and establishes robust data transmission over multiple *** systematic improvements are designed to optimize the overall performance of the WSN in real-world *** results of the proposed protocol validate its exceptional performance compared to other prominent data transmission *** evaluation spans varying sensor densities,wireless channel conditions,and packet transmission rates,showcasing the protocol’s superiority in ensuring reliable and efficient data *** systematic end-to-end design successfully addresses the challenges posed by the instability of wireless links in *** prioritizing fairness,reliability,and efficiency,the proposed protocol demonstrates its efficacy in enhancing data collection and transmission services,thereby offering a valuable contribution to the field of medical event-drivenWSNs.

关键词： Wireless sensor networks reliable data transmission medical emergencies cluster data collection routing scheme

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Aggregator Based RPL for an IoT-Fog Based Power Distribution System with 6LoWPAN

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China Communications 2020年第1期17卷 104-117页

作者： Rijo Jackson Tom Suresh Sankaranarayanan victor hugo C.de albuquerque Joel J.P.C.Rodrigues CMR Institute of Technology Bengaluru 560037India SRM Institute of Science and Technology Chennai 603203India University of Fortaleza(Unifor) FortalezaCE 60811-905Brazil Federal University of Piaui Teresina-PI64049-550Brazil Instituto de Telecomunicacoes 1049-001 LisboaPortugal

Advanced Metering Infrastructure(AMI)forms an important part in Smart *** the data effectively from smart meters to the Edge/Fog node requires an efficient routing *** Protocol for Low Power Lossy Area Network(RPL)is a standard routing protocol for IPv6 over Low Power Personal Area Network(6LoWPAN).In a Power Distribution system all the smart meters together form 6LoWPAN *** communicate with the fog router,which acts as the 6LoWPAN *** was evaluated using Cooja Network simulator for a power distribution network *** nodes which were far away from the fog node gave low Packet Delivery Ratio(PDR)and large End to End *** paper proposes an aggregation RPL scheme by modifying the existing Contiki *** smart meter nodes communicate to the aggregator,which communicates to the fog *** results show that the aggregation scheme has 35.6%increase in PDR,lesser hop count and 13.24%decrease in End to End delay on an average compared to existing RPL.

关键词： IoT 6LoWPAN RPL routing distribution automation smart grid fog computing

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Computing Paradigms in Emerging Vehicular Environments:A Review

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IEEE/CAA Journal of Automatica Sinica 2021年第3期8卷 491-511页

作者： Lion Silva Naercio Magaia Breno Sousa Anna Kobusińska António Casimiro Constandinos X.Mavromoustakis George Mastorakis victor hugo C.de albuquerque Department of Computer Science Faculty of SciencesUniversity of LisbonLisbon 1749-016Portugal Laboratory of Computing Science PoznańUniversity of TechnologyPoznan 60-965Poland Department of Computer Science University of NicosiaNicosia CY-2417Cyprus Department of Management Science and Technology Hellenic Mediterranean UniversityAgios Nikolaos 72100Greece LAPISCO Federal Institute of EducationScience and Technology of CearáFortaleza 60750-740 ARMTEC Tecnologia em Robótica Fortaleza 60150000Brazil

Determining how to structure vehicular network environments can be done in various ***,we highlight vehicle networks’evolution from vehicular ad-hoc networks(VANET)to the internet of vehicles(Io Vs),listing their benefits and *** also highlight the reasons in adopting wireless technologies,in particular,IEEE 802.11 p and 5 G vehicle-toeverything,as well as the use of paradigms able to store and analyze a vast amount of data to produce intelligence and their applications in vehicular *** also correlate the use of each of these paradigms with the desire to meet existing intelligent transportation systems’*** presentation of each paradigm is given from a historical and logical *** particular,vehicular fog computing improves on the deficiences of vehicular cloud computing,so both are not exclusive from the application point of *** also emphasize some security issues that are linked to the characteristics of these paradigms and vehicular networks,showing that they complement each other and share problems and *** these networks still have many opportunities to grow in both concept and application,we finally discuss concepts and technologies that we believe are *** this work,we emphasize the crucial role of these concepts for the well-being of humanity.

关键词： Computing paradigm cloud edge fog internet of vehicle(IoV) vehicular networks

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Interactive association between processing induced molecular structure changes and nutrient delivery on a molecular basis,revealed by cutting-edge vibrational biomolecular spectroscopy

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Journal of Animal Science and Biotechnology 2020年第1期11卷 211-226页

作者： Aya Ismael victor hugo Guevara-Oquendo Basim Refat Peiqiang Yu Ministry of Agriculture Strategic Research Chair(PY)Lab Department of Animal and Poultry ScienceCollege of Agriculture and BioresourcesUniversity of Saskatchewan51 Campus DriveSaskatoonSK S7N 5A8Canada

Background:This study was conducted to determine protein molecular structure profiles and quantify the relationship between protein structural features and protein metabolism and bioavailability of blend pel eted products(BPP)based on co-products(canola or carinata)from processing with different proportions of pulse pea screenings and lignosulfonate chemical ***:The protein molecular structures were determined using the non-invasive advanced vibrational molecular spectroscopy(ATR-FT/IR)in terms of chemical structure and biofunctional groups of amides(ⅠandⅡ),α-helix andβ-***:The results showed that increasing the level of the co-products in BPP significantly increased the spectral intensity of the amide area and amide *** products exhibited similar protein secondaryα-helix toβ-sheet *** protein molecular structure profiles(amidesⅠandⅡ,α-helix toβ-sheet)were highly associated with protein degradation kinetics and intestinal *** conclusion,the non-invasive vibrational molecular spectroscopy(ATR-FT/IR)could be used to detect inherent structural make-up characteristics in ***:The molecular structural features related to protein biopolymer were highly associated with protein utilization and metabolism.

关键词： Alpha-helix and beta-sheet Amides(ⅠandⅡ) Biofunctional groups Chemical structure Protein metabolism and bioavailability Protein molecular structure

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Glacial reconstruction and periglacial dynamics at the end of Late Pleistocene on the surface of Cofre de Perote volcano,México:a climatological retrospective

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Journal of Mountain Science 2023年第9期20卷 2453-2467页

作者： victor SOTO hugo DELGADO-GRANADOS Carlos M.WELSH Kenji YOSHIKAWA Centro de Ciencias de la Tierra Universidad VeracruzanaXalapaVeracruz 91090México Instituto de Geofísica Universidad Nacional Autónoma de MéxicoCiudad de México 04150México Water and Environmental Research Center University of Alaska FairbanksFairbanksAlaska 99775USA

Despite being within the intertropical region of the planet,the Mexican territory still has glacier-covered *** recent decades,important advances have been made in studies on glaciology and periglacial environment in Mexico both for current and past ***,in spite of Cofre de Perote volcano(4200 m a.s.l.)being a strategically located mountain,it has not yet been studied in regards to the glacial and periglacial processes;in fact,those dynamics have modified the mountain massifs in the *** complement the series of studies on glacial history in the high mountain environment of México,this study reconstructs the glacial cover and the periglacial environment of the volcano surface during the final stage of the Late Pleistocene based on climatic retrospective and through the identification of geomorphological *** findings indicate the existence of a large glacier(ice cap)that covered the northern,western,and southern slopes of the mountain;while in the eastern sector there were two small glaciers,one being of cirque type,and the other of valley *** current temperature conditions prevent the occurrence of permanent ice bodies;at the same time,it was found that the periglacial blockfields of the slopes is a legacy of the climatic conditions that prevailed at the end of Late Pleistocene.

关键词： Cofre de Perote Glacial cover Periglacial environment Climatic retrospective Palaeoclimatic modelling

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