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Integrated CWT-CNN for Epilepsy Detection Using Multiclass EEG Dataset

Computers, Materials & Continua 2021年第10期69卷 471-486页

作者： Sidra Naseem Kashif javed muhammad Jawad Khan Saddaf Rubab muhammad Attique Khan Yunyoung Nam Robotics and Machine Intelligence Engineering School of Mechanical and Manufacturing EngineeringNational University of Sciences and Technology(NUST)Islamabad44000Pakistan National University of Sciences and Technology(NUST) Islamabad44000Pakistan Department of Computer Science HITEC University TaxilaTaxilaPakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Electroencephalography is a common clinical procedure to record brain signals generated by human *** are useful in Brain controlled interfaces and other intelligent Neuroscience applications,but manual analysis of these brainwaves is complicated and time-consuming even for the experts of *** EEG analysis and classification techniques have been proposed to address this problem however,the conventional classification methods require identification and learning of specific EEG characteristics *** learning models can learn features from data without having in depth knowledge of data and prior feature *** of the great implementations of deep learning is Convolutional Neural Network(CNN)which has outperformed traditional neural networks in pattern recognition and image *** Wavelet Transform(CWT)is an efficient signal analysis technique that presents the magnitude of EEG signals as timerelated Frequency *** deep learning architectures suffer from poor performance when classifying EEG signals in the Time-frequency *** improve classification accuracy,we propose an integrated CWT and CNN technique which classifies five types of EEG signals *** compared the results of proposed integrated CWT and CNN method with existing deep learning models e.g.,GoogleNet,VGG16,***,the accuracy and loss of the proposed integrated CWT and CNN method have been cross validated using Kfold cross *** average accuracy and loss of Kfold cross-validation for proposed integrated CWT and CNN method are,76.12%and 56.02%*** model produces results on a publicly available dataset:Epilepsy dataset by UCI(Machine Learning Repository).

关键词： Deep learning electroencephalography epilepsy continuous wavelet transform

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Structural, morphological, Raman, optical, magnetic, and antibacterial characteristics of CeO2 nanostructures

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International Journal of Minerals,Metallurgy and Materials 2016年第1期23卷 102-108页

作者： Fazal Abbas javed Iqbal Tariq Jan Noor Badshah Qaisar Mansoor muhammad Ismail Laboratory of Nanoscience and Technology Department of Physics International Islamic University H-10 Islamabad 44000 Pakistan Department of Basic Science University of Engineering and Technology Peshawar 26000 Pakistan Institute of Biomedical and Genetic Engineering (IBGE) Islamabad 44000 Pakistan

In this study, CeO2 nanostructures were synthesized by a soft chemical method. A hydrothermal treatment was observed to lead to an interesting morphological transformation of the nanoparticles into homogeneous microspheres composed of nanosheets with an average thickness of 40 nm. Structural analysis revealed the formation of a single-phase cubic fluorite structure of CeO2 for both samples. A Raman spectroscopic study confirmed the XRD results and furthermore indicated the presence of a large number of oxygen vacancies in the nanosheets. These oxygen vacancies led to room-temperature ferromagnetism （RTFM） of the CeO2 nanosheets with enhanced magnetic characteristics. Amazingly, the nanosheets exhibited substantially greater antibacterial activity than the nanoparticles. This greater antibacte- rial activity was attributed to greater exposure of high-surface-energy polar surfaces and to the presence of oxygen vacancies.

关键词： ceciurn oxide nanosheets chemical synthesis ferromagnetism oxygen vacancies antibacterial properties

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Investigating the impact of Glyoxal retrieval from MAX-DOAS observations during haze and non-haze conditions in Beijing

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Journal of Environmental Sciences 2019年第6期31卷 296-305页

作者： Zeeshan javed Cheng Liu muhammad Fahim Khokhar Chengzhi Xing Wei Tan muhammad Ahmed Subhani Abdul Rehman Aimon Tanvir School of Earth and Space Sciences University of Science and Technology of China Center for Excellence in Regional Atmospheric Environment Institute of Urban Environment Chinese Academy of Sciences Key Lab of Environmental Optics & Technology Anhui Institute of Optics and Fine Mechanics Chinese Academy of Sciences Anhui Province Key Laboratory of Polar Environment and Global Change USTC Institute of Environmental Sciences and Engineering National University of Sciences and Technology

This study presents the Multi Axis Differential Optical Absorption Spectroscopy(MAXDOAS) measurements for Glyoxal(CHOCHO) in Beijing, China(39.95°N, 116.32°E). CHOCHO is the smallest compound of di-carbonyl group. As a primary sink of CHOCHO, its photolysis with NOx(oxides of nitrogen) results in the production of tropospheric ozone. Therefore,the focus of CHOCHO DOAS measurements is increasing in trend. We did the measurements from 09 May 2017 to 09 September 2017. The study was conducted to compare different retrieval settings in order to reveal best DOAS fit settings for CHOCHO;furthermore, effect of haze and non-haze days on CHOCHO concentration was *** root mean square of residual and Differential Slant Column density(dSCD) error was reduced when measurements were done with lower wavelength limit around 432–438 nm and upper intervals around 455–460 nm. Thus, lower wavelength intervals around432–438 nm and upper intervals around 457–460 nm were best for the retrieval of dSCDs for CHOCHO. Meteorological conditions like haze or non-haze days did not have significant effect on DOAS fit parameters. The CHOCHO vertical column densities range from 1.33 E +14 to 9.77 E + 14 molecules/cm2 during the study period with average of 6.16 E +14 molecules/cm2. The results indicated that during haze days CHOCHO concentration was higher because of lower rate of photolysis and atmospheric oxidation potential. Our results did not show any significant weekend effect on CHOCHO atmospheric concentration.

关键词： Glyoxal DOAS Retrieval settings Photolysis Haze days

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A Reliable Stochastic Numerical Analysis for Typhoid Fever Incorporating With Protection Against Infection

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Computers, Materials & Continua 2019年第6期59卷 787-804页

作者： muhammad Shoaib Arif Ali Raza muhammad Rafiq Mairaj Bibi Rabia Fayyaz Mehvish Naz Umer javed Department of Mathematics Air UniversityPAF Complex E-9Islamabad44000Pakistan Faculty of Engineering University of Central PunjabLahore54500Pakistan Department of Mathematics Comsats UniversityChak Shahzad CampusIslamabad44000Pakistan Department of Electrical and Computer Engineering Comsats UniversityWah Campus47040IslambadPakistan

In this paper,a reliable stochastic numerical analysis for typhoid fever incorporating with protection against infection has been *** have compared the solutions of stochastic and deterministic typhoid fever *** has been shown that the stochastic typhoid fever model is more realistic as compared to the deterministic typhoid fever *** effect of threshold number T*hold in stochastic typhoid fever *** proposed framework of the stochastic non-standard finite difference scheme(SNSFD)preserves all dynamical properties like positivity,bounded-ness and dynamical consistency defined by Mickens,*** stochastic numerical simulation of the model showed that increase in protection leads to low disease prevalence in a population.

关键词： Typhoid fever stochastic differential equations euler maruyama scheme stochastic euler scheme stochastic runge-kutta scheme stochastic NSFD scheme

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Prediction of Time Series Empowered with a Novel SREKRLS Algorithm

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Computers, Materials & Continua 2021年第5期67卷 1413-1427页

作者： Bilal Shoaib Yasir javed muhammad Adnan Khan Fahad Ahmad Rizwan Majeed muhammad Saqib Nawaz muhammad Adeel Ashraf Abid Iqbal muhammad Idrees School of Computer Science Minhaj University LahoreLahore54000Pakistan Prince Sultan University Riyadh11586Saudi Arabia Department of Computer Science Riphah International University Lahore CampusLahore54000Pakistan Department of Basic Sciences Deanship of Common First YearJouf UniversitySakakaAljouf72341Saudi Arabia Directorate of IT The Islamia University of BahawalpurBahawalpur63100Pakistan Department of Computer Science University of Management and TechnologyLahore54770Pakistan PUCIT University of the PunjabLahore54000Pakistan

For the unforced dynamical non-linear state–space model,a new Q1 and efficient square root extended kernel recursive least square estimation algorithm is developed in this *** proposed algorithm lends itself towards the parallel implementation as in the FPGA *** the help of an ortho-normal triangularization method,which relies on numerically stable givens rotation,matrix inversion causes a computational burden,is *** computation possesses many excellent numerical properties such as singularity,symmetry,skew symmetry,and triangularity is achieved by using this *** proposed method is validated for the prediction of stationary and non-stationary Mackey–Glass Time Series,along with that a component in the x-direction of the Lorenz Times Series is also predicted to illustrate its *** the learning curves regarding mean square error(MSE)are witnessed for demonstration with prediction performance of the proposed algorithm from where it’s concluded that the proposed algorithm performs better than *** new SREKRLS based design positively offers an innovative era towards non-linear systolic arrays,which is efficient in developing very-large-scale integration(VLSI)applications with non-linear input *** experiments are carried out to validate the reliability,effectiveness,and applicability of the proposed algorithm and with different noise levels compared to the Extended kernel recursive least-squares(EKRLS)algorithm.

关键词： Kernel methods square root adaptive filtering givens rotation mackey glass time series prediction recursive least squares kernel recursive least squares extended kernel recursive least squares square root extended kernel recursive least squares algorithm

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7种米香型白酒小曲微生物群落与挥发性风味物质的相关性

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食品工业科技 2024年

作者：侯慧郝俊光 Hafiz Umer javed 万瑞杰戴梓茹张龙张纯广祁岑广西大学轻工与食品工程学院钦州市食品风味分析与调控重点实验室北部湾大学食品工程学院广西天龙泉酒业有限公司

为了揭示米香型白酒小曲的微生物组成及与自身挥发性风味物质的作用关系，利用高通量测序技术分析了米香型白酒小曲的微生物群落结构，同时采用顶空固相微萃取-气相色谱-质谱联用技术检测了不同小曲的挥发性风味物质组成，并对二者进行... 详细信息

为了揭示米香型白酒小曲的微生物组成及与自身挥发性风味物质的作用关系，利用高通量测序技术分析了米香型白酒小曲的微生物群落结构，同时采用顶空固相微萃取-气相色谱-质谱联用技术检测了不同小曲的挥发性风味物质组成，并对二者进行相关性分析。结果显示，在广西地区7种小曲样品中共检测到10个优势真菌属、42个优势细菌属（相对丰度大于1%定义为优势属），其中，Saccharomycopsis、Aspergillus是主要的优势真菌属；Weissella、Pediococcus是主要的优势细菌属。PCA分析（Principal component analysis）结果显示，小曲C和小曲D的微生物群落组成最相似。共检出104挥发性风味物质，其中1-辛烯-3-醇、芳樟醇、苯乙醇均存在于所有小曲中。相关性分析表明与挥发性风味物质相关性较大的优势微生物属为Trichoderma、Monascus、Candida、Bacillus、Klebsiella、Pantoea。通过解析优势微生物与挥发性风味物质的作用关系，明确了对小曲挥发性风味物质贡献较大的微生物菌属，为后续广西米香型白酒小曲的菌种优化和品质改良提供一定的借鉴。

关键词：米香型白酒小曲微生物挥发性风味物质相关性分析

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Response of Contrasting Rice Genotypes to Zinc Sources under Saline Condition

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Phyton-International Journal of Experimental Botany 2023年第5期92卷 1361-1375页

作者： muhammad Jan muhammad Anwar-Ul-Haq Talha javed Sadam Hussain Ilyas Ahmad muhammad Ashraf Sumrah javed Iqbal Babar Hussain Babar Aqsa Hafeez muhammad Aslam muhammad Tahir Akbar Marjan Aziz Khadiga Alharbi Izhar Ullah Department of Soil and Environmental Sciences Ghazi UniversityDera Ghazi Khan32200Pakistan Institute of Soil and Environmental Sciences University of AgricultureFaisalabad38040Pakistan Department of Agronomy University of AgricultureFaisalabad38040Pakistan College of Agronomy Northwest A&F UniversityYangling712100China Pesticide Quality Control Lab MultanPunjab59300Pakistan Barani Agricultural Research Institute Chakwal48800Pakistan Soil and Water Testing Laboratory for Research Dera Ghazi Khan32200Pakistan Agronomic Research Institute Ayub Agricultural Research InstituteFaisalabad38000Pakistan Department of Plant Sciences Quaid-i-Azam UniversityIslamabad45320Pakistan Soil Fertility(Field) Multan59300Pakistan Department of Biology College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Queensland University of Technology QueenslandAustralia

Abiotic stresses are among the major limiting factors for plant growth and crop *** these,salinity is one of the major risk factors for plant growth and development in arid to semi-arid *** of salt tolerant crop genotypes is one of the imperative approaches to meet the food demand for increasing *** current experiment was carried out to access the performance of different rice genotypes under salinity stress and Zinc(Zn)*** rice genotypes were grown in a pot experiment and were exposed to salinity stress(7 dS m^(−1)),and Zn(15 mg kg^(-1)soil)was applied from two sources,ZnSO4 and Zn-EDTA.A control of both salinity and Zn was kept for *** showed that based on the biomass accumulation and K^(+)/Na^(+)ratio,KSK-133 and BAS-198 emerged as salt tolerant and salt sensitive,***,based on the Zn concentration,BAS-2000 was reported as Zn-in-efficient while IR-6 was a Zn-efficient *** results also revealed that plant growth,relative water content(RWC),physiological attributes including chlorophyll contents,ionic concentrations in straw and grains of all rice genotypes were decreased under salinity ***,salt tolerant and Zn-in-efficient rice genotypes showed significantly higher shoot K^(+)and Zn concentrations under saline *** application significantly alleviates the harmful effects of salinity by improving morpho-physiological attributes and enhancing antioxidant enzyme activities,and the uptake of K and *** beneficial effect of Zn was more pronounced in salt-tolerant and Zn in-efficient rice genotypes as compared with salt-sensitive and Zn-efficient *** sum,our results confirmed that Zn application increased overall plant’s performance under saline conditions,particularly in Zn in-efficient and tolerant genotypes as compared with salt-sensitive and Zn efficient rice genotypes.

关键词： Agronomic efficiency antioxidant enzymes:physiology Oryza sativa salinity Zn efficient

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Numerical Simulations for Stochastic Computer Virus Propagation Model

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Computers, Materials & Continua 2020年第1期62卷 61-77页

作者： muhammad Shoaib Arif Ali Raza muhammad Rafiq Mairaj Bibi Javeria Nawaz Abbasi Amna Nazeer Umer javed Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityPAF Complex E-9IslamabadPakistan Faculty of Engineering University of Central Punjab LahorePakistan Department of Mathematics Comsats UniversityChak Shahzad CampusIslamabadPakistan Department of Electrical and Computer Engineering Comsats UniversityWah CampusIslamabadPakistan

We are presenting the numerical simulations for the stochastic computer virus propagation model in this *** are comparing the solutions of stochastic and deterministic computer virus *** of a threshold number R0 hold in stochastic computer virus *** R_(0)1 shows virus rapidly spread in the computer ***,stochastic numerical techniques fail to cope with large step sizes of *** suggested structure of the stochastic non-standard finite difference technique can never violate the dynamical *** this basis,we can suggest a collection of strategies for removing virus’s propagation in the computer population.

关键词： Computer virus propagation model Stochastic modelling Stochastic processes Stochastic techniques Convergence analysis

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Utility of convalescent plasma for addressing the COVID-19 infection: brief review and case reports

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Life Research 2022年第1期5卷 3-8页

作者： Fazli Azim Md Shahidul Islam Ashraful Hoque muhammad javed Aneela Hayat Kaniz Fatema Molla Amiruzzaman Md.Nasir Uddin Kajal Kumar Karmakar Syed A.A.Rizvi IHITC:Isolation Hospital&Infections Treatment Centre IslamabadPakistan Upazila Health Complex DaudkandiCumillaBangladesh Department of Blood Transfusion Sheikh Hasina National Institute of Burn&Plastic SurgeryDhakaBangladesh Medical A Unit Hayatabad Medical Complex HospitalMTIPeshawarPakistan Department of Pathology Bacha Khan Medical CollegeMardanPakistan Department of Biochemistry National Institute of Cardiovascular Diseases&HospitalDhakaBangladesh Department of Biochemistry National Institute of Laboratory Medicine and Referral CentreDhakaBangladesh. Department of Clinical Chemistry National Institute of Cardiovascular Diseases&HospitalDhakaBangladesh. Department of Cardiology National Institute of Cardiovascular Diseases&HospitalDhakaBangladesh Department of Pharmaceutical Sciences Hampton University School of PharmacyHamptonVirginiaUSA.

Novel coronavirus,SARS-CoV-2 is responsible for causing a pandemic that has affected individuals worldwide,over 192 million people and about 4.1 million people died so *** spread is ongoing and the numbers are still *** therapeutic approaches have been explored and developed during this *** with virus-specific antibodies in convalescent plasma(CP)has shown potential benefits for various pathogenic *** many instances,it is the only available and safe management option for the COVID-19 *** we describe two confirmed cases of COVID-19 from two different geographical areas that were managed with standard treatment modalities *** of the patients were presented with high-grade fever,dry cough,and sore *** reports showed increased values of D-dimer,serum ferritin,leukocyte count(LC),Lactate dehydrogenase(LDH),and C-reactive protein(CRP).Chest X-ray showed bilateral infiltration(multifocal and bilateral ground-glass opacities and consolidations with peripheral and basal predominance),consistent with the previous reports on COVID-19 *** patients received conservative treatment according to the hospital's *** convalescent plasma(from recovered patients)infusion was the last treatment given to both *** the convalescent plasma transfusion,both patients showed a reduction of viral load,an increase of anti-SARS-CoV-2 IgG and IgM antibodies,reduction in lung infiltration,with no adverse ***,further randomized controlled trials are needed to investigate the full scope of safety and efficacy(both short and long-term)of convalescent plasma therapy for COVID-19 and other related infections.

关键词： SARS-CoV-2 COVID-19 pandemic convalescent plasma therapy critical care neutralizing antibody titer acute respiratory distress syndrome

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Towards Cache-Assisted Hierarchical Detection for Real-Time Health Data Monitoring in IoHT

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Computers, Materials & Continua 2023年第11期77卷 2529-2544页

作者： muhammad Tahir Mingchu Li Irfan Khan Salman AAl Qahtani Rubia Fatima javed Ali Khan muhammad Shahid Anwar School of Software Technology Dalian University of Technology(DUT)Dalian116621China School of Software Technology Key Laboratory for Ubiquitous Network and Service Software of Liaoning ProvinceDalian116650China Department of Computer Engineering King Saud UniversityRiyadh11543Saudi Arabia School of Software Tsinghua UniversityBeijing100084China Department of Software Engineering University of Science and TechnologyBanu28100Pakistan Department of AI and Software Gachon UniversitySeongnamsi13120Korea

Real-time health data monitoring is pivotal for bolstering road services’safety,intelligence,and efficiency within the Internet of Health Things(IoHT)***,delays in data retrieval can markedly hinder the efficacy of big data awareness detection *** advocate for a collaborative caching approach involving edge devices and cloud networks to combat *** strategy is devised to streamline the data retrieval path,subsequently diminishing network *** an adept cache processing scheme poses its own set of challenges,especially given the transient nature of monitoring data and the imperative for swift data transmission,intertwined with resource allocation *** paper unveils a novel mobile healthcare solution that harnesses the power of our collaborative caching approach,facilitating nuanced health monitoring via edge *** system capitalizes on cloud computing for intricate health data analytics,especially in pinpointing health *** the dynamic locational shifts and possible connection disruptions,we have architected a hierarchical detection system,particularly during *** system caches data efficiently and incorporates a detection utility to assess data freshness and potential lag in response ***,we introduce the Cache-Assisted Real-Time Detection(CARD)model,crafted to optimize *** the inherent complexity of the NP-hard CARD model,we have championed a greedy algorithm as a *** reveal that our collaborative caching technique markedly elevates the Cache Hit Ratio(CHR)and data freshness,outshining its contemporaneous benchmark *** empirical results underscore the strength and efficiency of our innovative IoHT-based health monitoring *** encapsulate,this paper tackles the nuances of real-time health data monitoring in the IoHT landscape,presenting a joint edge-cloud caching strategy paired with a hierarchical detection *** methodology yields enh

关键词： Real-time health data monitoring Cache-Assisted Real-Time Detection(CARD) edge-cloud collaborative caching scheme hierarchical detection Internet of Health Things(IoHT)

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