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Social Media-Based Surveillance Systems for Health Informatics Using Machine and Deep Learning Techniques:A Comprehensive Review and Open Challenges

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Computer Modeling in Engineering & Sciences 2024年第5期139卷 1167-1202页

作者： Samina Amin muhammad ali zeb Hani Alshahrani Mohammed Hamdi Mohammad Alsulami Asadullah Shaikh Institute of Computing Kohat University of Science and TechnologyKohat26000Pakistan Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia Department of Information System College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia

Social media(SM)based surveillance systems,combined with machine learning(ML)and deep learning(DL)techniques,have shown potential for early detection of epidemic *** review discusses the current state of SM-based surveillance methods for early epidemic outbreaks and the role of ML and DL in enhancing their ***,every year,a large amount of data related to epidemic outbreaks,particularly Twitter data is generated by *** paper outlines the theme of SM analysis for tracking health-related issues and detecting epidemic outbreaks in SM,along with the ML and DL techniques that have been configured for the detection of epidemic *** has emerged as a promising ML technique that adaptsmultiple layers of representations or features of the data and yields state-of-the-art extrapolation *** recent years,along with the success of ML and DL in many other application domains,both ML and DL are also popularly used in SM *** paper aims to provide an overview of epidemic outbreaks in SM and then outlines a comprehensive analysis of ML and DL approaches and their existing applications in SM ***,this review serves the purpose of offering suggestions,ideas,and proposals,along with highlighting the ongoing challenges in the field of early outbreak detection that still need to be addressed.

关键词： Social media epidemic machine learning deep learning health informatics pandemic

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Comprehensive Review and Analysis on Facial Emotion Recognition:Performance Insights into Deep and Traditional Learning with Current Updates and Challenges

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Computers, Materials & Continua 2025年第1期82卷 41-72页

作者： Amjad Rehman muhammad Mujahid Alex Elyassih Bayan AlGhofaily Saeed ali Omer Bahaj Artificial Intelligence&Data Analytics Lab College of Computer&Information SciencesPrince Sultan UniversityRiyadh11586Saudi Arabia MIS Department College of Business Administration Prince Sattam Bin Abdulaziz UniversityAlKharj11942Saudi Arabia

In computer vision and artificial intelligence,automatic facial expression-based emotion identification of humans has become a popular research and industry *** demonstrations and applications in several fields,including computer games,smart homes,expression analysis,gesture recognition,surveillance films,depression therapy,patientmonitoring,anxiety,and others,have brought attention to its significant academic and commercial *** study emphasizes research that has only employed facial images for face expression recognition(FER),because facial expressions are a basic way that people communicate meaning to each *** immense achievement of deep learning has resulted in a growing use of its much architecture to enhance *** review is on machine learning,deep learning,and hybrid methods’use of preprocessing,augmentation techniques,and feature extraction for temporal properties of successive frames of *** following section gives a brief summary of assessment criteria that are accessible to the public and then compares them with benchmark results the most trustworthy way to assess FER-related research topics *** this review,a brief synopsis of the subject matter may be beneficial for novices in the field of FER as well as seasoned scholars seeking fruitful avenues for further *** information conveys fundamental knowledge and provides a comprehensive understanding of the most recent state-of-the-art research.

关键词： Face emotion recognition deep learning hybrid learning CK+ facial images machine learning technological development

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New Horizon in stabilization of single atoms on metal-oxide supports for CO_(2) reduction

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Nano Materials Science 2021年第4期3卷 368-389页

作者： muhammad Abbas muhammad Aurang zeb Gul Sial Department of Chemistry and Biochemistry The University of Texas at Dallas800 West Campbell RoadRichardsonTX75080USA Multi-scale Porous Materials Centre Institute of Advanced Interdisciplinary StudiesSchool of Chemistry and Chemical EngineeringChongqing UniversityChonging400044PR China

Elecrochemical CO_(2) reduction is a promising route to convert CO_(2) into the value added chemicals,and to control the increasing accumulation of 002 in the *** CO_(2) molecule is stable and chemically inert,so a highly efficient electrocatalyst is required for CO_(2) *** single atoms with metal oxdde support is a new fronder in CO_(2) *** supported single atoms contain disperse isolated atoms with an appropriate support maxcimize the atom efficiency of metals for boosting the catalytc *** this review,we had discussed state-of-the-art research on the synthestis of single atoms supported on the metal oxdde for boosting catalytic activity for CO_(2) reduction and special emphasis is placed on the influence of single atoms supported on metal oxdde on the CO_(2) ***,we had discussed the challenges,and opportunities for paving the development of single atoms with metal support and their application in ecrocatalytic CO_(2) reduction.

关键词： Single atoms Metal-oxides support CO_(2)reduction

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Photocatalysis vs adsorption by metal oxide nanoparticles

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Journal of Materials Science & Technology 2022年第36期131卷 122-166页

作者： Usman Qumar Jahan zeb Hassan Rukhsar Ahmad Bhatti ali Raza Ghazanfar Nazir Walid Nabgan muhammad Ikram Solar Cell Applications Research Lab Department of PhysicsGovernment College University Lahore54000 PunjabPakistan Department of Physics University of Lahore(Chenab Campus)Adjacent Chenab BridgeGujrat50700 PunjabPakistan Department of Physics University of Sialkot(USKT)1-Km Main Daska RoadSialkot51040 PunjabPakistan Department of Nanotechnology and Advanced Materials Engineering Sejong UniversitySeoul 05006Republic of Korea Departament d’Enginyeria Química Universitat Rovira i VirgiliAv Països Catalans 2643007 TarragonaSpain.

Background:Metal oxide(MO)nanomaterials and related nanocomposites have been extensively studied for their potential use in water *** of their controlled morphologies,texture qualities,variable surface chemistry,distinct crystalline nature,high stability,and tunable band edges,MO nanostructured materials are highly selective towards deleting organic contaminants and heavy metal ions via adsorption and semiconductor ***-enhanced photocatalysis has recently received increasing interest,mainly due to the ability of the metal to directly or indirectly degrade pollutants.A diverse selection of MOs,with titanium dioxide(Ti O2),zinc oxide(Zn O),iron oxides(IO),and tungsten(W),as well as graphene-MOs nanocomposites with variable structure,crystalline,and morphological properties,offers a powerful platform for the growth of effective ***:The current work discusses novel advancements and potential for the removal of adsorptive and photocatalytic degradation of organic compounds(phenolic,pesticide molecules,dyes,and so on)as well as heavy metal ions using semiconductor materials.A photocatalyst based on a MO-scheme heterostructure can manage the appropriate conduction band(CB)and valence band(VB)locations,securing considerable redox *** review should be of interest to the broad readership dealing with applied and fundamental aspects of water treatments and material *** strategies including surface modification,plasmonic enhancement,and metal cocatalysts have been introduced to enhance photocatalytic *** findings:The current article discussed the significantly utilized synthesis strategies and mechanism of heterojunction photocatalysts using a ***,adsorption sections guarantee that mercury,chromium,cadmium,arsenic,and lead-based ions are successfully removed from polluted water via the adsorption *** characteristics,such as concentration,coexisting ions,p H,and ki

关键词： Photocatalyst Adsorbate Metal Oxides Z-scheme Surface Modification Heterojunction Semiconductor heterostructures Nanoparticles

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A Quantitative Security Metric Model for Security Controls:Secure Virtual Machine Migration Protocol as Target of Assessment

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China Communications 2018年第8期15卷 126-140页

作者： Tayyaba zeb muhammad Yousaf Humaira Afzal muhammad Rafiq Mufti School of Electrical Engineering and Computer Science(SEECS) National University of Sciences and TechnologylslamabadPakistan Riphah Institute of Systems Engineering(RISE) Riphah International UniversityIslamabadPakistan Institute of Computing Department of Computer ScienceBahauddin Zakariya UniversityMultanPakistan Department of Computer Sciences COMSATS Institute of Information TechnologyVehariPakistan

Quantitative security metrics are desirable for measuring the performance of information security controls. Security metrics help to make functional and business decisions for improving the performance and cost of the security controls. However, defining enterprise-level security metrics has already been listed as one of the hard problems in the Info Sec Research Council's hard problems list. Almost all the efforts in defining absolute security metrics for the enterprise security have not been proved fruitful. At the same time, with the maturity of the security industry, there has been a continuous emphasis from the regulatory bodies on establishing measurable security metrics. This paper addresses this need and proposes a relative security metric model that derives three quantitative security metrics named Attack Resiliency Measure(ARM), Performance Improvement Factor(PIF), and Cost/Benefit Measure(CBM) for measuring the performance of the security controls. For the effectiveness evaluation of the proposed security metrics, we took the secure virtual machine(VM) migration protocol as the target of assessment. The virtual-ization technologies are rapidly changing the landscape of the computing world. Devising security metrics for virtualized environment is even more challenging. As secure virtual machine migration is an evolving area and no standard protocol is available specifically for secure VM migration. This paper took the secure virtual machine migration protocol as the target of assessment and applied the proposed relative security metric model for measuring the Attack Resiliency Measure, Performance Improvement Factor, and Cost/Benefit Measure of the secure VM migration protocol.

关键词： attack resiliency measure cost-benefit measure performance improvement factor security assessment formal verification security controls security metrics virtual machine migration protocol

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Airship aerodynamic model estimation using unscented Kalman filter

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Journal of Systems Engineering and Electronics 2020年第6期31卷 1318-1329页

作者： WASIM muhammad ali Ahsan Department of Electrical Engineering University of Engineering and TechnologyTaxila 47080Pakistan

An airship model is made-up of aerostatic,aerodynamic,dynamic,and propulsive forces and *** others,the computation of aerodynamic forces and torques is ***,wind tunnel experimentation and potential flow theory are used for their ***,the limitations of these methods pose difficulties in their accurate *** this work,an online estimation scheme based on unscented Kalman filter(UKF)is proposed for their *** proposed method introduces six auxiliary states for the complete aerodynamic *** uses an extended model and provides an estimate of a complete state vector along with auxiliary *** proposed method uses the minimum auxiliary state variables for the approximation of the complete aerodynamic model that makes it computationally less *** estimation performance is evaluated by developing a nonlinear simulation environment for University of Engineering and Technology,Taxila(UETT)*** performance is vali􀅫dated by performing the error analysis based on estimation error and 2-σ uncertainty *** the same problem,the extended Kalman filter(EKF)is also implemented and its results are compared with *** simulation results show that UKF successfully estimates the forces and torques due to the aerodynamic model with small estimation error and the comparative analysis with EKF shows that UKF improves the estimation re􀅫sults and also it is more suitable for the under-consideration problem.

关键词： airship unscented Kalman filter(UKF) extend Kalman filter(EKF) state estimation aerodynamic model estimation

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Towards a coherent nomenclature of plant viruses

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Virologica Sinica 2016年第3期31卷 197-198页

作者： muhammad ali Atta-ur-Rahman School of Applied Biosciences (ASAB) National University of Sciences and Technology(NUST)

The International Committee on Taxonomy of Viruses（ICTV）has the decree to set the rules for the classification and naming of *** species is the lowest level considered in the taxonomic *** general,virus species are ... 详细信息

关键词： Genus coherent isolation taxonomic mosaic instance letter names abbreviated mottle

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Heat Transfer Enhancement of an Automobile Engine Radiator using ZnO Water Base Nanofluids

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Journal of Thermal Science 2020年第4期29卷 1010-1024页

作者： muhammad QASIM muhammad SAJID KAMRAN muhammad AMMAR muhammad ali JAMAL muhammad YASAR JAVAID Department of Mechanical Engineering University of Engineering and TechnologyLahore 54890Pakistan Department of Chemical Engineering Technology Government College UniversityFaisalabad 38000Pakistan Department of Mechanical Engineering Technology Government College UniversityFaisalabad 38000Pakistan

In this research paper, the forced convective heat transfer enhancement of a Suzuki Mehran(VXR) 2016 radiator(heat exchanger) along with pressure drop and friction factor by utilizing Zinc oxide(Zn O) water based nanofluids has been experimentally studied. Three types of nanofluids with different volumetric concentrations of Zn O nanoparticles(0–0.3%) were employed in order to understand its effect on heat transfer enhancement. The experimental setup was completely designed as closely as possible to the car cooling system. The experimentation has been done under laminar flow conditions(186≤Re≤1127) at different fluid volume flow rates(2–12 L/min) and constant fluid inlet temperature(70°C) to the automobile radiator. A maximum enhancement in heat transfer rate, overall heat transfer coefficient and Nusselt number was obtained up to 41%, 50% and 31% by using nanofluid with 0.2% volumetric concentration of nanoparticles respectively. On the other hand, the mean enhancement in pressure drop and friction factor was obtained up to 47% and 46% by using nanofluid with the same volumetric concentration of nanoparticles i.e. 0.2% respectively. The experimental results also revealed that the heat transfer rate, overall heat transfer coefficient and Nusselt number of nanofluids increases by increasing the volume flow rates and volumetric concentration of nanoparticles. However, these thermal performance parameters of nanofluids started to decline when the volumetric concentration of nanoparticles was increased from 0.2% to 0.3%. Furthermore, pressure drop and friction factor of nanofluids increase by increasing the volumetric concentration of nanoparticles, while pressure drop increases and friction factor decreases by increasing the volume flow rate of nanofluids respectively. At the end, the thermal efficiency of automobile radiator with high cooling rates was obtained by using nanofluid with 0.2% volumetric concentration of nanoparticles.

关键词： ZnO nanoparticles heat transfer enhancement thermal efficiency automobile radiator

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Gender disparities and woman-specific trends in Barrett’s esophagus in the United States:An 11-year nationwide populationbased study

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World Journal of Methodology 2025年第1期15卷 60-71页

作者： Karina Fatakhova Faisal Inayat Hassam ali Pratik Patel Attiq Ur Rehman Arslan Afzal muhammad Sarfraz Shiza Sarfraz Gul Nawaz Ahtshamullah Chaudhry Rubaid Dhillon Arthur Dilibe Benjamin Glazebnik Lindsey Jones Emily Glazer Division of Gastroenterology and Hepatology Mather Hospital and Zucker School of Medicine at Hofstra UniversityPort JeffersonNY 11777United States Department of Internal Medicine Allama Iqbal Medical CollegeLahorePunjab 54550Pakistan Division of Gastroenterology and Hepatology East Carolina University Brody School of MedicineGreenvilleNC 27834United States Division of Gastroenterology and Hepatology Geisinger Wyoming Valley Medical CenterWilkes-BarrePA 18711United States Department of Internal Medicine East Carolina University Brody School of MedicineGreenvilleNC 27834United States Department of Internal Medicine St.Dominic's HospitalJacksonMS 39216United States Department of Gastroenterology Hepatologyand NutritionCleveland Clinic FoundationClevelandOH 44195United States Department of Internal Medicine Mather Hospital and Hofstra University ZuckerSchool of MedicinePort JeffersonNY 11777United States

BACKGROUND Barrett's esophagus(BE)is a known premalignant precursor to esophageal adenocarcinoma(EAC).The prevalence rates continue to rise in the United States,but many patients who are at risk of EAC are not *** practice guidelines include male gender as a predisposing factor for BE and *** population-based clinical evidence regarding female gender remains *** To study comparative trends of gender disparities in patients with BE in the United *** A nationwide retrospective study was conducted using the 2009-2019 National Inpatient Sample(NIS)*** with a primary or secondary diagnosis code of BE were *** major outcome of interest was determining the gender disparities in patients with *** analysis for respective outcomes for females was also reported to ascertain any time-based *** We identified 1204190 patients with BE for the study *** the included patients,717439(59.6%)were men and 486751(40.4%)were *** mean age was higher in women than in men(67.1±0.4 vs 66.6±0.3 years,Palizations for males increased from 144.6 in 2009 to 213.4 in 2019(P<0.001).The rate for females increased from 96.8 in 2009 to 148.7 in 2019(P<0.001).There was a higher frequency of obesity among women compared to men(17.4%vs 12.6%,P<0.001).Obesity prevalence among females increased from 12.3%in 2009 to 21.9%in 2019(P<0.001).A lower prevalence of smoking was noted in women than in men(20.8%vs 35.7%,P<0.001).However,trend analysis showed an increasing prevalence of smoking among women,from 12.9%in 2009 to 30.7%in 2019(P<0.001).Additionally,there was a lower prevalence of alcohol abuse,Helicobacter pylori(***),and diabetes mellitus among females than males(P<0.001).Trend analysis showed an increasing prevalence of alcohol use disorder and a decreasing prevalence of *** and diabetes mellitus among women(P<0.001).CONCLUSION The prevalence of BE among

关键词： Barrett’s esophagus Gender disparity Epidemiological trends Esophageal adenocarcinoma Screening endoscopy Female gender Risk factors

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Leveraging the Role of Dynamic Reconfigurable Antennas in Viewpoint of Industry 4.0 and Beyond

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Research 2023年第3期6卷 35-56页

作者： Abdul Jabbar muhammad ali Jamshed Qammer Abbasi muhammad ali Imran Masood Ur-Rehman James Watt School of Engineering University of GlasgowGlasgowUK

Industry 4.0 is a digital paradigm that refers to the integration of cutting-edge computing and digital technologies into global industries because of which the state of manufacturing,communication,and control of smart industries has changed *** 4.0 has been profoundly influenced by some major disruptive technologies such as the Internet of Things(IoT),smart sensors,machine learning and artificial intelligence,cloud computing,big data analytics,advanced robotics,augmented reality,3D printing,and smart adaptive *** this review paper,we discuss physical layer-based solutions with a focus on high reliability and seamless connectivity for Industry 4.0 and beyond ***,we present a harmonized review of the industrial revolution journey,industrial communication infrastructure,key performance requirements,and potential sub-6-GHz frequency ***,based on that,we present a comprehensive review of intelligent tunable dynamic antenna systems at sub-6 GHz as key enablers for next-generation smart industrial ***-of-the-art smart antenna techniques such as agile pattern reconfigurability using electrical components,machine learning-and artificial intelligence-based agile beam-scanning antennas,and beam-steerable dynamic metasurface antennas are thoroughly reviewed and *** unfolded the exciting prospects of reconfigurable dynamic antennas for intelligent and reliable connectivity in application scenarios of Industry 4.0 and beyond such as Industrial IoT and smart manufacturing.

关键词： antenna IoT smart

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