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Classification of Electrocardiogram Signals for Arrhythmia Detection Using Convolutional Neural Network

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Computers, Materials & Continua 2023年第12期77卷 3817-3834页

作者： muhammad Aleem raza muhammad Anwar Kashif Nisar Ag.Asri Ag.Ibrahim Usman Ahmed raza Sadiq Ali Khan Fahad Ahmad Department of Computer Science and IT Lahore Lead UniversityLahore54000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota KinabaluSabah88400Malaysia Computer Science Department UBIT Karachi UniversityKarachi75270Pakistan Department of Basic Sciences Deanship of Common First YearJouf UniversitySakakaAljouf72341Saudi Arabia

With the help of computer-aided diagnostic systems,cardiovascular diseases can be identified timely manner to minimize the mortality rate of patients suffering from cardiac ***,the early diagnosis of cardiac arrhythmia is one of the most challenging *** manual analysis of electrocardiogram(ECG)data with the help of the Holter monitor is ***,the Convolutional Neural Network(CNN)is receiving considerable attention from researchers for automatically identifying ECG *** paper proposes a 9-layer-based CNN model to classify the ECG signals into five primary categories according to the American National Standards Institute(ANSI)standards and the Association for the Advancement of Medical Instruments(AAMI).The Massachusetts Institute of Technology-Beth Israel Hospital(MIT-BIH)arrhythmia dataset is used for the *** proposed model outperformed the previous model in terms of accuracy and achieved a sensitivity of 99.0%and a positivity predictively 99.2%in the detection of a Ventricular Ectopic Beat(VEB).Moreover,it also gained a sensitivity of 99.0%and positivity predictively of 99.2%for the detection of a supraventricular ectopic beat(SVEB).The overall accuracy of the proposed model is 99.68%.

关键词： Arrhythmia ECG signal deep learning convolutional neural network physioNet MIT-BIH arrhythmia database

Linking gold prices,fossil fuel costs and energy consumption to assess progress towards sustainable development goals in newly industrialized countries

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Geoscience Frontiers 2024年第3期15卷 447-457页

作者： muhammad Farhan Bashir muhammad Adnan Bashir Syed Ali raza Yuriy Bilan LászlóVasa College of Management Shenzhen UniversityShenzhen518060GuangdongPR China Huangpu Institute Guangdong University of Foreign StudiesGuangzhouGuangdongChina Department of Business Administration IQRA University Karachi-75300Pakistan Adnan Kassar School of Business Lebanese American UniversityBeirutLebanon Faculty of Management Rzeszow University of Technologyal.Powstanców Warszawy 1235-959 RzeszówPoland Faculty of Economics Széchenyi Istvàn UniversityHungary

The continuous rise in global environmental challenges has led to urgency toward establishing a secure framework to achieve sustainable development *** study establishes a novel theoretical framework to analyze the role of energy prices,energy consumption,gold prices and economic growth on environmental degradation in newly industrialized *** realize sustainable development goals and foster environmental defence,this study utilizes CS-ARDL as the main econometric approach to investigate the asymmetric association between environmental degradation and relevant *** also use AMG,CS-DL,Driscoll-Kray and FGLS to enhance the robustness of our *** econometric approach reveals that energy resource prices and renewable energy consumption reduce environmental degradation,while gold prices and fossil energy consumption elevate environmental *** also confirm the existence of the EKC *** findings of our extensive analysis paved the way for a welldesigned environmental policy for NIC economies should focus on renewable energy consumption,green investments,and structural changes.

关键词： Gold prices Fossil fuel costs Renewable Energy Consumption Environmental degradation Newly industrialized countries COP27

Correction:Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space

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Computers, Materials & Continua 2025年第1期82卷 1461-1461页

作者： Mudassir Khalil muhammad Imran Sharif Ahmed Naeem muhammad Umar Chaudhry Hafiz Tayyab Rauf Adham E.Ragab Department of Computer Engineering Bahauddin Zakariya UniversityMultan60000Pakistan Department of Computer Science Kansas State UniversityManhattanKS 66506USA Department of Computer Science University of Management and TechnologyLahore54000Pakistan Independent Researcher BradfordBD80HSUK Industrial Engineering Department Collage of EngineeringKing Saud UniversityP.O.Box 800Riyadh11421Saudi Arabia

In the article“Deep Learning-Enhanced Brain Tumor Prediction via Entropy-Coded BPSO in CIELAB Color Space”by Mudassir Khalil,muhammad Imran Sharif,Ahmed Naeem,muhammad Umar Chaudhry,Hafiz Tayyab Rauf,Adham *** Computers,Materials&Continua,2023,Vol.77,No.2,pp.2031–***:10.32604/cmc.2023.043687,URL:https://***/cmc/v77n2/54831,there was an error regarding the affiliation for the author Hafiz Tayyab *** of“Centre for Smart Systems,AI and Cybersecurity,Staffordshire University,Stoke-on-Trent,ST42DE,UK”,the affiliation should be“Independent Researcher,Bradford,BD80HS,UK”.

关键词： Deep Code CIELAB

Structure-Preserving Dynamics of Stochastic Epidemic Model with the Saturated Incidence Rate

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Computers, Materials & Continua 2020年第8期64卷 797-811页

作者： Wasfi Shatanawi muhammad Shoaib Arif Ali raza muhammad Rafiq Mairaj Bibi Javeria Nawaz Abbasi Department of Mathematics and General Sciences Prince Sultan UniversityRiyadhSaudi Arabia Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung40402Taiwan Department of M-Commerce and Multimedia Applications Asia UniversityTaichung41354Taiwan Stochastic Analysis&Optimization Research Group Department of MathematicsAir UniversityPAF Complex E-9Islamabad44000Pakistan Faculty of Engineering University of Central PunjabLahorePakistan Department of Mathematics Comsats UniversityIslamabadPakistan

The structure-preserving features of the nonlinear stochastic models are positivity,dynamical consistency and *** features have a significant role in different fields of computational biology and many ***,the existing stochastic approaches in literature do not restore aforesaid structure-preserving features,particularly for the stochastic ***,these gaps should be occupied up in literature,by constructing the structure-preserving features preserving numerical *** writing aims to describe the structure-preserving dynamics of the stochastic *** have analysed the effect of reproduction number in stochastic modelling the same as described in the literature for deterministic *** usual explicit stochastic numerical approaches are *** have developed the implicitly driven explicit approach for the stochastic epidemic *** have proved that the newly developed approach is preserving the structural,dynamical properties as positivity,boundedness and dynamical ***,convergence analysis of a newly developed approach and graphically illustration is also presented.

关键词： Epidemic model stochastic numerical approaches convergence analysis

Efficient and Cost-Effective Vehicle Detection in Foggy Weather for Edge/Fog-Enabled Traffic Surveillance and Collision Avoidance Systems

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Computers, Materials & Continua 2024年第10期81卷 911-931页

作者： Naeem raza muhammad Asif Habib Mudassar Ahmad Qaisar Abbas Mutlaq BAldajani muhammad Ahsan Latif Department of Computer Science National Textile UniversityFaisalabad37610Pakistan College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Computer Science University of AgricultureFaisalabad38000Pakistan

Vision-based vehicle detection in adverse weather conditions such as fog,haze,and mist is a challenging research area in the fields of autonomous vehicles,collision avoidance,and Internet of Things(IoT)-enabled edge/fog computing traffic surveillance and monitoring *** and cost-effective vehicle detection at high accuracy and speed in foggy weather is essential to avoiding road traffic collisions in *** evaluate vision-based vehicle detection performance in foggy weather conditions,state-of-the-art Vehicle Detection in Adverse Weather Nature(DAWN)and Foggy Driving(FD)datasets are self-annotated using the YOLO LABEL tool and customized to four vehicle detection classes:cars,buses,motorcycles,and *** state-of-the-art single-stage deep learning algorithms YOLO-V5,and YOLO-V8 are considered for the task of vehicle ***,YOLO-V5s is enhanced by introducing attention modules Convolutional Block Attention Module(CBAM),Normalized-based Attention Module(NAM),and Simple Attention Module(SimAM)after the SPPF module as well as YOLO-V5l with *** vehicle detection accuracy parameters and running speed is validated on cloud(Google Colab)and edge(local)*** mAP50 score of YOLO-V5n is 72.60%,YOLOV5s is 75.20%,YOLO-V5m is 73.40%,and YOLO-V5l is 77.30%;and YOLO-V8n is 60.20%,YOLO-V8s is 73.50%,YOLO-V8m is 73.80%,and YOLO-V8l is 72.60%on DAWN *** mAP50 score of YOLO-V5n is 43.90%,YOLO-V5s is 40.10%,YOLO-V5m is 49.70%,and YOLO-V5l is 57.30%;and YOLO-V8n is 41.60%,YOLO-V8s is 46.90%,YOLO-V8m is 42.90%,and YOLO-V8l is 44.80%on FD *** vehicle detection speed of YOLOV5n is 59 Frame Per Seconds(FPS),YOLO-V5s is 47 FPS,YOLO-V5m is 38 FPS,and YOLO-V5l is 30 FPS;and YOLO-V8n is 185 FPS,YOLO-V8s is 109 FPS,YOLO-V8m is 72 FPS,and YOLO-V8l is 63 FPS on DAWN *** vehicle detection speed of YOLO-V5n is 26 FPS,YOLO-V5s is 24 FPS,YOLO-V5m is 22 FPS,and YOLO-V5l is 17 FPS;and YOLO-V8n is 313 FPS,YOLO-V8s is 182 FPS,YOLO

关键词： Vehicle detection YOLO-V5 YOLO-V5s variants YOLO-V8 DAWN dataset foggy driving dataset IoT cloud/edge/fog computing

Spherical Linear Diophantine Fuzzy Sets with Modeling Uncertainties in MCDM

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Computer Modeling in Engineering & Sciences 2021年第3期126卷 1125-1164页

作者： muhammad Riaz Masooma raza Hashmi Dragan Pamucar Yu-Ming Chu Department of Mathematics University of the PunjabLahore54590Pakistan Department of Logistics Military academyUniversity of DefenceBelgrade11000Serbia Department of Mathematics Huzhou UniversityHuzhou313000China Hunan Provincial Key Laboratory of MathematicalModeling and Analysis in Engineering Changsha University of Science&TechnologyChangsha410114China

The existing concepts of picture fuzzy sets(PFS),spherical fuzzy sets(SFSs),T-spherical fuzzy sets(T-SFSs)and neutrosophic sets(NSs)have numerous applications in decision-making problems,but they have various strict limitations for their satisfaction,dissatisfaction,abstain or refusal *** relax these strict constraints,we introduce the concept of spherical linearDiophantine fuzzy sets(SLDFSs)with the inclusion of reference or control parameters.A SLDFSwith parameterizations process is very helpful formodeling uncertainties in themulti-criteria decisionmaking(MCDM)*** can classify a physical systemwith the help of reference *** discuss various real-life applications of SLDFSs towards digital image processing,network systems,vote casting,electrical engineering,medication,and selection of optimal *** show some drawbacks of operations of picture fuzzy sets and their corresponding aggregation *** new operations on picture fuzzy sets are also *** fundamental operations on SLDFSs and different types of score functions of spherical linear Diophantine fuzzy numbers(SLDFNs)are *** aggregation operators named spherical linear Diophantine fuzzy weighted geometric aggregation(SLDFWGA)and spherical linear Diophantine fuzzy weighted average aggregation(SLDFWAA)operators are developed for a robust MCDM *** application of the proposed methodology with SLDF information is *** comparison analysis of the final ranking is also given to demonstrate the validity,feasibility,and efficiency of the proposed MCDM approach.

关键词： Spherical linear Diophantine fuzzy set new operations of picture fuzzy sets spherical linear Diophantine fuzzy weighted geometric aggregation operator spherical linear Diophantine fuzzy weighted average aggregation operator MCDM

Regulatory mechanisms of microbial homeostasis in insect gut

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Insect Science 2021年第2期28卷 286-301页

作者： Shuai Bai Zhichao Yao muhammad Fahim raza Zhaohui Cai Hongyu Zhang State Key Laboratory of Agricultural Microbiology Key Laboratory of Horticultural Plant Biology(MOE)China-Australia Joint Research Centre for Horticultural and Urban PestsInstitute of Urban and Horticultural EntomologyCollege of Plant Science and TechnologyHuazhong Agricultural UniversityWuhanChina

Insects live in incredibly complex *** intestinal epithelium of insects is in constant contact with microorganisms,some of which are beneficial and some harmful to the *** gut health and function are maintained through multidimensional mechanisms that can proficiently remove foreign pathogenic microorganisms while effectively maintaining local symbiotic microbial *** basic immune mechanisms of the insect gut,such as the dual oxidase-reactive oxygen species(Duox-ROS)system and the immune deficiency(Imd)-signaling pathway,are involved in the maintenance of microbial *** paper reviews the role of physical defenses,the Duox-ROS and Imd signaling pathways,the Janus kinase/signal transducers and activators of transcription signaling pathway,and intestinal symbiotic flora in the homeostatic maintenance of the insect gut microbiome.

关键词： Duox-ROS immune system gut microbiota immune deficiency signaling pathway insect intestinal immunity peritrophic matrix

Evolution of Coulomb failure stress in Sulaiman Lobe,Pakistan,and its implications for seismic hazard assessment

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Earth and Planetary Physics 2023年第2期7卷 282-294页

作者： Aiza Amjad muhammad shahid Riaz Urooj Shakir muhammad Younis Khan muhammad Ali shah Bahria School of Engineering and Applied Sciences H-11 CampusBahriaBahria UniversityIslamabadPakistan Centre for Earthquake Studies National Centre for PhysicsIslamabadPakistan National Centre of Excellence in Geology University of PeshawarPeshawarPakistan GIS and Space Applications in Geosciences(G-SAG)Lab National Center of GIS and Space Applications(NCGSA)IslamabadPakistan

In this research work,we present the evolution of Coulomb failure stress(CFS)in the Sulaiman Lobe and its implications for seismic hazard *** Chaman transform fault,~1,000 km long,is the major active fault that marks the western boundary between Pakistan and Afghanistan on the Indian *** date,few studies have been conducted to unveil the interactions among earthquakes and the implications of these interactions for seismic hazard assessment in the *** thoroughly investigated the published and online catalog to construct a sequence of major earthquakes that occurred in this region during the *** final earthquake sequence was composed of 15 earthquakes of M_(w)≥6.0,beginning with the 1888 *** used the stress-triggering theory to numerically simulate the evolution of CFS caused by these *** numerical results revealed that 8 out of 15earthquakes were triggered by the preceding *** earthquakes in 1908,1910,1935,1966,and 1997 were rather independent earthquakes in this *** the epicenters of the 1975a and 1975b earthquakes were in the stress shadow zone,the partial rupture segments of both these earthquakes were in high-CFS *** CFS induced by the 1935 earthquake was notable,as it later triggered the 2008 ***,our results revealed that the northern segment of the Chaman Fault,the southern segment of the Ghazaband Fault,and the northwestern segment of the Urghargai Fault demonstrated a high change in CFS that could trigger seismicity in these *** necessary arrangements must therefore be made to mitigate any possible seismic hazards in the region.

关键词： Sulaiman Thrust Sulaiman Lobe earthquake triggering Coulomb failure stress seismic hazard assessment

3D Semantic Deep Learning Networks for Leukemia Detection

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Computers, Materials & Continua 2021年第10期69卷 785-799页

作者： Javaria Amin muhammad Sharif muhammad Almas Anjum Ayesha Siddiqa Seifedine Kadry Yunyoung Nam Mudassar raza University of Wah Wah CanttPakistan COMSATS University Islamabad Wah CampusPakistan National University of Technology(NUTECH) IJP Road IslamabadPakistan Faculty of Applied Computing and Technology Noroff University CollegeKristiansandNorway Department of Computer Science and Engineering Soonchunhyang UniversityAsan31538Korea

White blood cells(WBCs)are a vital part of the immune system that protect the body from different types of bacteria and *** cell growth destroys the body’s immune system,and computerized methods play a vital role in detecting abnormalities at the initial *** this research,a deep learning technique is proposed for the detection of *** proposed methodology consists of three *** I uses an open neural network exchange(ONNX)and YOLOv2 to localize *** localized images are passed to Phase II,in which 3D-segmentation is performed using deeplabv3 as a base network of the pre-trained Xception *** segmented images are used in Phase III,in which features are extracted using the darknet-53 model and optimized using Bhattacharyya separately criteria to classify *** proposed methodology is validated on three publically available benchmark datasets,namely ALL-IDB1,ALL-IDB2,and LISC,in terms of different metrics,such as precision,accuracy,sensitivity,and dice *** results of the proposed method are comparable to those of recent existing methodologies,thus proving its effectiveness.

关键词： YOLOv2 darknet53 Bhattacharyya separately criteria ONNX