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Spatial Correlation Module for Classification of Multi-Label Ocular Diseases Using Color Fundus Images

Computers, Materials & Continua 2023年第7期76卷 133-150页

作者： Ali Haider Khan Hassaan Malik Wajeeha Khalil Sayyid Kamran hussain Tayyaba Anees muzammil hussain Department of Software Engineering Faculty of Computer SciencesLahore Garrison UniversityLahorePakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Computer Science&Information Technology University of Engineering and Technology(UET)PeshawarPakistan Department of Computer Science TIMES InstituteMultan60000Pakistan Department of Software Engineering School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan

To prevent irreversible damage to one’s eyesight,ocular diseases(ODs)need to be recognized and treated *** fundus imaging(CFI)is a screening technology that is both effective and *** to CFIs,the early stages of the disease are characterized by a paucity of observable symptoms,which necessitates the prompt creation of automated and robust diagnostic *** traditional research focuses on image-level diagnostics that attend to the left and right eyes in isolation without making use of pertinent correlation data between the two sets of *** addition,they usually only target one or a few different kinds of eye diseases at the same *** this study,we design a patient-level multi-label OD(PLML_ODs)classification model that is based on a spatial correlation network(SCNet).This model takes into consideration the relevance of patient-level diagnosis combining bilateral eyes and multi-label ODs ***_ODs is made up of three parts:a backbone convolutional neural network(CNN)for feature extraction i.e.,DenseNet-169,a SCNet for feature correlation,and a classifier for the development of classification *** DenseNet-169 is responsible for retrieving two separate sets of attributes,one from each of the left and right *** then,the SCNet will record the correlations between the two feature sets on a pixel-by-pixel *** the attributes have been analyzed,they are integrated to provide a representation at the patient *** the whole process of ODs categorization,the patient-level representation will be *** efficacy of the PLML_ODs is examined using a soft margin loss on a dataset that is readily accessible to the public,and the results reveal that the classification performance is significantly improved when compared to several baseline approaches.

关键词： Ocular disease multi-label spatial correlation CNN eye disease

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Advances in two-dimensional molybdenum ditelluride(MoTe2):A comprehensive review of properties,preparation methods,and applications

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SusMat 2024年第5期4卷 31-69页

作者： Pratik V.Shinde muzammil hussain Elisa Moretti Alberto Vomiero Department of Molecular Sciences and Nanosystems Ca’Foscari University of VeniceVeneziaItaly Department of Industrial Engineering University of PadovaPadovaItaly Department of Engineering Sciences and Mathematics Lulea University of TechnologyLuleaSweden

In the past decade,molybdenum ditelluride(MoTe2)has received significant attention from the scientific community due to its structural features and unique properties originate from *** the current review,the properties,various preparation approaches,and versatile applications of MoTe2 are *** review provides a brief update on the state of our fundamental understanding of MoTe2 material and also discusses the issues that need to be *** introduce MoTe2,we briefly summarize its structural,optoelectronic,magnetic,and mechanical properties in the ***,different preparation meth-ods of MoTe2,such as exfoliation,laser treatment,deposition,hydrothermal,microwave,and molecular beam epitaxy,are *** excellent electri-cal conductivity,strong optical activity,tunable bandgap,high sensitivity,and impressive stability make it an ideal contender for different applications,includ-ing energy storage,catalysis,sensors,solar cells,photodetectors,and *** performance of MoTe2 in these applications is systematically introduced along with mechanistic *** the end of the article,the challenges and possible future directions are highlighted to further modify MoTe2 material for the numerous ***,the availability of different phases and layer structures implies a potential for MoTe2 to lead an era of two-dimensional materials that began from the exfoliation of graphene.

关键词： 2D materials MoTe2 (opto)electronic devices phase structure and bandgap tuning

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Deep Learning Based Classification of Wrist Cracks from X-ray Imaging

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Computers, Materials & Continua 2022年第10期73卷 1827-1844页

作者： Jahangir Jabbar muzammil hussain Hassaan Malik Abdullah Gani Ali Haider Khan Muhammad Shiraz Department of Computer Science National College of Business Administration&Economics LahoreMultan60000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Faculty of Computing and Informatics University of Malaysia SabahJalan UMSKota Kinabalu88400SabahMalaysia Department of Computer Science Federal Urdu University of ArtsScience and TechnologyIslamabadPakistan

Wrist cracks are the most common sort of cracks with an excessive occurrence *** the routine detection of wrist cracks,conventional radiography(X-ray medical imaging)is used but periodically issues are presented by crack *** cracks often appear in the human arbitrary bone due to accidental injuries such as ***,many hospitals lack experienced clinicians to diagnose wrist ***,an automated system is required to reduce the burden on clinicians and identify *** this study,we have designed a novel residual network-based convolutional neural network(CNN)for the crack detection of the *** the classification of wrist cracks medical imaging,the diagnostics accuracy of the RN-21CNN model is compared with four well-known transfer learning(TL)models such as Inception V3,Vgg16,ResNet-50,and Vgg19,to assist the medical imaging technologist in identifying the cracks that occur due to wrist *** RN-21CNN model achieved an accuracy of 0.97 which is much better than its competitor`s *** results reveal that implementing a correct generalization that a computer-aided recognition system precisely designed for the assistance of clinician would limit the number of incorrect diagnoses and also saves a lot of time.

关键词： Wrist cracks fracture deep learning X-rays CNN

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Osteoporosis Prediction for Trabecular Bone using Machine Learning: A Review

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Computers, Materials & Continua 2021年第4期67卷 89-105页

作者： Marrium Anam Vasaki a/p Ponnusamy muzammil hussain Muhammad Waqas Nadeem Mazhar Javed Hock Guan Goh Sadia Qadeer Department of Computer Science Government College UniversityFaisalabadPakistan Faculty of Information and Communication Technology(FICT) Universiti Tunku Abdul Rahman(UTAR)KamparMalaysia Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahorePakistan Department of Computer Science Lahore Garrison UniversityLahorePakistan

Trabecular bone holds the utmost importance due to its significance regarding early bone *** like osteoporosis greatly affect the structure of the Trabecular bone which results in different outcomes like high risk of *** objective of this paper is to inspect the characteristics of the Trabecular Bone by using the Magnetic Resonance Imaging(MRI)*** characteristics prove to be quite helpful in studying different studies related to Trabecular bone such as *** things that were considered before the selection of the articles for the systematic review were language,research field,and electronic *** those articles written in the English language were selected as it is the most prominent language used in scientific,engineering,computer science,and biomedical *** literature review was conducted on the articles published between 2006 and 2020.A total of 62 research papers out of 1050 papers were extracted which were according to our topic of review after screening abstract and article content for the title and abstract *** findings from those researches were compiled at the end of the result *** systematic literature review presents a comprehensive report on scientific researches and studies that have been done in the medical area concerning trabecular bone.

关键词： Magnetic resonance imaging high resolution trabecular bone(TB) bone structure machine learning

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Fusion-Based Machine Learning Architecture for Heart Disease Prediction

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Computers, Materials & Continua 2021年第5期67卷 2481-2496页

作者： Muhammad Waqas Nadeem Hock Guan Goh Muhammad Adnan Khan muzammil hussain Muhammad Faheem Mushtaq Vasaki a/p Ponnusamy Faculty of Information and Communication Technology(FICT) Universiti Tunku Abdul Rahman(UTAR)KamparPerak31900Malaysia Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan Department of Computer Science Faculty of ComputingRiphah International UniversityLahore CampusLahore54000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Information Technology Khwaja Fareed University of Engineering and Information TechnologyRahim Yar Khan64200Pakistan

The contemporary evolution in healthcare technologies plays a considerable and signicant role to improve medical services and save human *** disease or cardiovascular disease is the most fatal and complex disease which it is hardly to be detected through our naked eyes,as numerous people have been suffering from this disease *** attacks occur when the ranges of vital signs such as blood pressure,pulse rate,and body temperature exceed their normal *** efcient diagnosis of heart diseases could play a substantial role in the eld of cardiology,while diagnostic time could be *** has been a key challenge for researchers and medical experts to diagnose heart diseases accurately and ***,machine learning-based techniques are used for the diagnosis with higher accuracy,using datasets compiled from former medical patients’*** recent years,numerous studies have been presented in the literature propose machine learning techniques for diagnosing heart ***,the existing techniques have some limitations in terms of their *** this paper,a novel Support Vector Machine(SVM)based architecture for heart disease prediction,empowered with a fuzzy based decision level fusion,is *** SVMbased architecture has improved the accuracy signicantly as compared to existing solutions,where 96.23%accuracy has been achieved.

关键词： Heart disease machine learning support vector machine fuzzy logic fusion cardiovascular

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Enhanced Solar Water Desalination by CuCo_(2)S_(4)-decorated Carbon Foam Derived from Waste Plastics

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Chemical Research in Chinese Universities 2024年第3期40卷 548-555页

作者： muzammil hussain Tofik Ahmed SHIFA Pratik V.SHINDE Pankaj KUMAR Stefano CENTENARO Silvia GROSS Elisa MORETTI Alberto VOMIERO Department of Molecular Sciences and Nanosystems Ca'Foscari University of VeniceVia Torino 15530172 VeniceItaly Department of Industrial Engineering University of PadovaVia Venezia 135131 PadovaItaly Department of Chemical Sciences University of PadovaVia Francesco Marzolo135131 PadovaItaly Division of Materials Science Department of Engineering Sciences and MathematicsLulea University of Technology97187 LuleaSweden Center for Cultural Heritage Technologies(CCHT) Istituto Italiano di Tecnologia(IT)Via Torino 15530170 Venezia-MestreItaly

Interfacial solar desalination is an emerging technology for freshwater production,but the finding of novel solar evaporators is still *** the present research,graphitic carbon foam(CF)was synthesized from the upcycling of waste plastic polyethylene terephthalate(PET)waste bottles functionalized with carrollite CuCo_(2)S_(4) as a photothermal *** characterization[X-ray diffraction(XRD),Fourier transform infrared spectroscopy(FTIR),and scanning electron microscopy-energy dispersive spectroscopy(SEM-EDS)]confirms the functionalization of carrollite CuCo_(2)S_(4) on graphitic carbon *** UV-Vis spectroscopy analysis showed an enhanced optical absorption in the UV-Vis-near IR region(>96%)for functionalized CuCo_(2)S_(4)-CF foam compared to carbon foam(67%).The interfacial solar desalination experiment presented a significantly enhanced evaporation rate of 2.4 kg·m^(−2)·h^(−1) for CuCo_(2)S_(4)-CF compared to that of CF(1.60 kg·m^(−2)·h^(−1))and that of CuCo_(2)S_(4)(1.60 kg·m^(−2)·h^(−1)).The obtained results proved that the newly synthesized CuCo_(2)S_(4)-CF from the upcycled plastic into new material for the photothermal desalination process can enhance the practice of a circular economy to produce fresh water.

关键词： Photothermal desalination Cobalt Copper Chalcogenide Waste upcycling Circular economy

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Mechanisms and molecular approaches for heat tolerance in rice (Oryza sativa L.) under climate change scenario

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Journal of Integrative Agriculture 2018年第4期17卷 726-738页

作者： Syed Adeel Zafar Amjad Hameed Muhammad Amjad Nawaz MA Wei Mehmood All Noor muzammil hussain Mehboob-ur-Rahman National Key Facility for Crop Gene Resources and Genetic Improvement/Institute of Crop Sciences Chinese Academy of Agricultural Sciences Beijing 100081 P.R.China Nuclear Institute for Agriculture and Biology (NIAB) Faisalabad 38000 Pakistan Department of Biotechnology College of Engineering Science Chonnam National University Chonnam 59626 Republic of Korea Institute of Crop Sciences Chinese Academy of Agricultural Sciences~Key Laboratory of Crop Physiology and Ecology Ministryof Agriculture Beijing 100081 P.R.China State Key Laboratory of Mycology/Institute of Microbiology Chinese Academy of Sciences Beijing 100101 P.R. China Plant Genomics & Molecular Breeding Laboratories National Institute for Biotechnology and Genetic Engineering (NIBGE)Faisalabad 38000 Pakistan

Rice, a staple cereal crop in many parts of the world, has been confronted with multiple environmental stresses including high temperature, negatively impacts the booting as well as anthesis growth stages. The situation is further complicated by the changing climatic conditions, resulting in gradual escalation of temperature as well as changing the rainfall pattern and frequency, thus raising a concern of food security worldwide. The situation can be combat by developing rice varieties with excellent genetics with improved morpho-physiological, biochemical, and molecular mechanisms, together can minimize the adverse effects of heat stress. Here, several strategies(encompassing genetic and genomic, and mechanisms involved) for mitigating the impact of high temperature on rice have been discussed. Finally, the utilization of genomic knowledge in augmenting the conventional breeding approaches have been comprehensively elaborated to develop heat tolerant germplasm.

关键词： heat stress rice climate change molecular markers heat stress responses

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A Weighted Spatially Constrained Finite Mixture Model for Image Segmentation

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Computers, Materials & Continua 2021年第4期67卷 171-185页

作者： Mohammad Masroor Ahmed Saleh Al Shehri Jawad Usman Arshed Mahmood Ul Hassan muzammil hussain Mehtab Afzal Department of Computer Science Capital University of Science&TechnologyIslamabad45730Pakistan Department of Computer Science Jubail University CollegeJubail31961Saudi Arabia Department of Computer Science University of BaltistanSkardu16100Pakistan Department of Computer Skills Preparatory Year Najran University1988Saudi Arabia Department of Computer Science University of Management&TechnologyLahore54782Pakistan Department of Computer Science University of LahoreLahore54500Pakistan

Spatially Constrained Mixture Model(SCMM)is an image segmentation model that works over the framework of maximum a-posteriori and Markov Random Field(MAP-MRF).It developed its own maximization step to be used within this *** research has proposed an improvement in the SCMM’s maximization step for segmenting simulated brain Magnetic Resonance Images(MRIs).The improved model is named as the Weighted Spatially Constrained Finite Mixture Model(WSCFMM).To compare the performance of SCMM and WSCFMM,simulated T1-Weighted normal MRIs were segmented.A region of interest(ROI)was extracted from segmented *** similarity level between the extracted ROI and the ground truth(GT)was found by using the Jaccard and Dice similarity measuring *** to the Jaccard similarity measuring method,WSCFMM showed an overall improvement of 4.72%,whereas the Dice similarity measuring method provided an overall improvement of 2.65%against the ***,WSCFMM signicantly stabilized and reduced the execution time by showing an improvement of 83.71%.The study concludes that WSCFMM is a stable model and performs better as compared to the SCMM in noisy and noise-free environments.

关键词： Finite mixture model maximum aposteriori Markov random eld image segmentation

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Hep-Pred: Hepatitis C Staging Prediction Using Fine Gaussian SVM

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Computers, Materials & Continua 2021年第10期69卷 191-203页

作者： Taher M.Ghazal Marrium Anam Mohammad Kamrul Hasan muzammil hussain Muhammad Sajid Farooq Hafiz Muhammad Ammar Ali Munir Ahmad Tariq Rahim Soomro Center for Cyber Security Faculty of Information Science and TechnologyUniversiti Kebansaan Malaysia(UKM)Bangi43600SelangorMalaysia School of Information Technology Skyline University CollegeUniversity City SharjahSharjah1797UAE Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Computer Science School of Systems and TechnologyUniversity of Management and TechnologyLahore54000Pakistan Department of Computer Science Lahore Garrison UniversityLahore54000Pakistan School of Computer Science National College of Business Administration&EconomicsLahore54000Pakistan CCSIS Institute of Business ManagementKarachi75190SindhPakistan

Hepatitis C is a contagious blood-borne infection,and it is mostly asymptomatic during the initial ***,it is difficult to diagnose and treat patients in the early stages of *** disease’s progression to its last stages makes diagnosis and treatment more *** this study,an AI system based on machine learning algorithms is presented to help healthcare professionals with an early diagnosis of hepatitis *** dataset used for our Hep-Pred model is based on a literature study,and includes the records of 1385 patients infected with the hepatitis C *** in this dataset received treatment dosages for the hepatitis C virus for about 18 months.A former study divided the disease into four main *** stages have proven helpful for doctors to analyze the liver’s *** traditional way to check the staging is the biopsy,which is a painful and time-consuming *** article aims to provide an effective and efficient approach to predict hepatitis C *** this purpose,the proposed technique uses a fine Gaussian SVM learning algorithm,providing 97.9%accurate results.

关键词： Hepatitis C artificial intelligence Hep-Pred support vector machine machine learning hepatitis staging

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Role of jasmonic acid in improving tolerance of rapeseed(Brassica napus L.) to Cd toxicity

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2018年第2期19卷 130-146页

作者： Essa ALI Nazim hussain Imran Haider SHAMSI Zahra JABEEN muzammil hussain SIDDIQUI Li-xi JIANG Zhejiang Key Laboratory of Crop Gene Resources College of Agriculture and Biotechnology Zhejiang University Faculty of Agriculture the University of Poonch Department of Biosciences COMSATS Institute of Information Technology

The well-known detrimental effects of cadmium （Cd） on plants are chloroplast destruction, photosynthetic pigment inhibition, imbalance of essential plant nutrients, and membrane damage. Jasmonic acid （JA） is an alleviator against different stresses such as salinity and drought. However, the functional attributes of JA in plants such as the interactive effects of JA application and Cd on rapeseed in response to heavy metal stress remain unclear. JA at 50 pmol/L was observed in literature to have senescence effects in plants. In the present study, 25 pmol/L JA is ob- served to be a ＂stress ameliorating molecule＂ by improving the tolerance of rapeseed plants to Cd toxicity. JA reduces the Cd uptake in the leaves, thereby reducing membrane damage and malondialdehyde content and increasing the essential nutrient uptake. Furthermore, JA shields the chloroplast against the damaging effects of Cd, thereby in- creasing gas exchange and photosynthetic pigments. Moreover, JA modulates the antioxidant enzyme activity to strengthen the internal defense system. Our results demonstrate the function of JA in alleviating Cd toxicity and its underlying mechanism. Moreover, JA attenuates the damage of Cd to plants. This study enriches our knowledge regarding the use of and protection provided by JA in Cd stress.

关键词： Rapeseed Cadmium Jasmonic acid Antioxidant enzyme Malondialdehyde Ultrastructure

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