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An Efficient Internet Traffic Classification System Using Deep Learning for IoT

Computers, Materials & Continua 2022年第4期71卷 407-422页

作者： muhammad basit umair Zeshan Iqbal muhammad Bilal Jamel Nebhen Tarik Adnan Almohamad Raja Majid Mehmood Department of Computer Science University of Engineering and TechnologyTaxila47050Pakistan Division of Computer and Electronics Systems Engineering Hankuk University of Foreign StudiesYongin-siKorea Electrical-Electronics Engineering Department Faculty of EngineeringKarabük University78050KarabükTurkey Prince Sattam bin Abdulaziz University College of Computer Engineering and SciencesAlkharj11942Saudi Arabia Information and Communication Technology Department School of Electrical and Computer EngineeringXiamen University MalaysiaSepang43900Malaysia

Internet of Things(IoT)defines a network of devices connected to the internet and sharing a massive amount of data between each other and a central *** IoT devices are connected to a network therefore prone to *** management tasks and network operations such as security,intrusion detection,Quality-of-Service provisioning,performance monitoring,resource provisioning,and traffic engineering require traffic *** to the ineffectiveness of traditional classification schemes,such as port-based and payload-based methods,researchers proposed machine learning-based traffic classification systems based on shallow neural ***,machine learning-based models incline to misclassify internet traffic due to improper feature *** this research,an efficient multilayer deep learning based classification system is presented to overcome these challenges that can classify internet *** examine the performance of the proposed technique,Moore-dataset is used for training the *** proposed scheme takes the pre-processed data and extracts the flow features using a deep neural network(DNN).In particular,the maximum entropy classifier is used to classify the internet *** experimental results show that the proposed hybrid deep learning algorithm is effective and achieved high accuracy for internet traffic classification,i.e.,99.23%.Furthermore,the proposed algorithm achieved the highest accuracy compared to the support vector machine(SVM)based classification technique and k-nearest neighbours(KNNs)based classification technique.

关键词： Deep learning internet traffic classification network traffic management QoS aware application classification

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Computational Approach for Automated Segmentation and Classification of Region of Interest in Lateral Breast Thermograms

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Computers, Materials & Continua 2024年第9期80卷 4749-4765页

作者： Dennies Tsietso Abid Yahya Ravi Samikannu basit Qureshi muhammad Babar Department of Electrical Computer and Telecommunications EngineeringBotswana International University of Science and TechnologyPalapyePrivate Bag 16Botswana College of Computer and Information Sciences Prince Sultan UniversityRiyadh11586Saudi Arabia Robotics and Internet of Things Lab Prince Sultan UniversityRiyadh11586Saudi Arabia

Breast cancer is one of the major health issues with high mortality rates and a substantial impact on patients and healthcare systems *** Computer-Aided Diagnosis(CAD)tools,based on breast thermograms,have been developed for early detection of this ***,accurately segmenting the Region of Interest(ROI)fromthermograms remains *** paper presents an approach that leverages image acquisition protocol parameters to identify the lateral breast region and estimate its bottomboundary using a second-degree *** proposed method demonstrated high efficacy,achieving an impressive Jaccard coefficient of 86%and a Dice index of 92%when evaluated against manually created ground *** features were extracted from each view’s ROI,with significant features selected via Mutual Information for training Multi-Layer Perceptron(MLP)and K-Nearest Neighbors(KNN)*** findings revealed that the MLP classifier outperformed the KNN,achieving an accuracy of 86%,a specificity of 100%,and an Area Under the Curve(AUC)of *** consistency of the method across both sides of the breast suggests its viability as an auto-segmentation ***,the classification results suggests that lateral views of breast thermograms harbor valuable features that can significantly aid in the early detection of breast cancer.

关键词： Breast cancer CAD machine learning ROI segmentation thermography

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Morpho-anatomical adaptations of dominantly grown wild Datura inoxia to wastewater resource:Productivity and ecological issues

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Geoscience Frontiers 2024年第3期15卷 248-258页

作者： Taimoor Hassan Farooq Shagufta Jabeen Awais Shakoor muhammad Saleem Arif Nadia Siddique Khuram Shahzad muhammad umair Riaz Yong Li Bangor College China a Joint Unit of Bangor University and Central South University of Forestry and TechnologyChangsha 410004HunanChina Department of Botany The Islamia University of BahawalpurBahawalpur 63100Pakistan Hawkesbury Institute for the Environment Western Sydney UniversityPenrithNSW 2751Australia Department of Environmental Sciences Government College University FaisalabadFaisalabad 38000Pakistan Department of Forestry Rangeand Wildlife ManagementThe Islamia University of BahawalpurBahawalpur 63100Pakistan Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China National Engineering Laboratory for Applied Technology of Forestry and Ecology in South China Central South University of Forestry and TechnologyChangsha 410004HunanChina

With the increasing global water scarcity,wastewater irrigation has become widespread,but it can have detrimental ecological *** wastewater contains valuable nutrients for plants,improper treatment or the use of untreated wastewater in irrigation can negatively impact soil fertility and plant *** study is divided into two parts:firstly,a phytosociological survey was conducted to identify plant species with the highest importance value index(IVI)in the vicinity of wastewaterirrigated ***,a comparative morpho-anatomical analysis was carried out to investigate the morpho-anatomical adaptations of the species with the highest IVI under wastewater irrigation compared to normal water *** results of the phytosociological survey revealed the presence of 51 plant species in the vicinity of the wastewater-irrigated areas,with varying relative densities and *** inoxia exhibited the highest IVI(28.79),followed by Xanthium strumarium(24.34),while Lippia nodiflora showed the lowest IVI(1.86).The morphological growth of *** was superior under normal water irrigation,but the average root length was greater under wastewater *** cell anatomy,cell thickness and cell area characteristics in the dermal,ground,and vascular tissues of the stem and root tended to be greater under wastewater ***,the opposite trend was observed in leaf anatomical analysis,possibly due to the combined effect of wastewater and climatic *** and root xylem thickness were greater under wastewater irrigation,whereas phloem thickness was higher under normal water *** number of vascular bundles in the stem,root,and leaf was higher under wastewater treatment compared to normal water irrigation,but their arrangement was circular in the latter and scattered under wastewater *** inoxia demonstrated strong adaptive potential under wastewater irrigation,as indicated by its highest relative d

关键词： Water pollution Phytosociology Structural growth Phytoremediation Agricultural irrigation Ecological concerns

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Implications of electrode modifications in aqueous organic redox flow batteries

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Journal of Energy Chemistry 2024年第8期95卷 499-510,I0011页

作者： Zahid Manzoor Bhat Mohammad Furquan muhammad Aurang Zeb Gul Sial umair Alam Atif Saeed Alzahrani Mohammad Qamar Interdisciplinary Research Center for Hydrogen Technologies and Carbon Management(IRC-HTCM) King Fahd University of Petroleum&Minerals(KFUPM)Dhahran 31261Saudi Arabia Department of Materials Science and Engineering King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia Interdisciplinary Research Center for Sustainable Energy Systems(IRC-SES) King Fahd University of Petroleum and MineralsDhahran 31261Saudi Arabia

Aqueous organic redox flow batteries(RFBs)exhibit favorable characteristics,such as tunability,multielectron transfer capability,and stability of the redox active molecules utilized as anolytes and catholytes,making them very viable contenders for large-scale grid storage *** attention has been paid on the development of efficient redox-active molecules and their performance optimization through chemical substitutions at various places on the backbone as part of the pursuit for high-performance *** the fact that electrodes are vital to optimal performance,they have not garnered significant *** research has been conducted on the effects of electrode modifications to improve the performance of *** primary emphasis has been given on the impact of electrode engineering to augment the efficiency of aqueous organic *** overview of electron transfer at the electrode-electrolyte interface is *** implications of electrode modification on the performance of redox flow batteries,with a particular focus on the anodic and cathodic half-cells separately,are then *** each section,significant discrepancies surrounding the effects of electrode engineering are thoroughly examined and ***,we have presented a comprehensive assessment along with our perspectives on the future trajectory.

关键词： Redox flow batteries Electrode modification Organic redox molecules Outer sphere and inner sphere

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Vision based intelligent traffic light management system using Faster R‐CNN

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 932-947页

作者： Syed Konain Abbas muhammad Usman Ghani Khan Jia Zhu Raheem Sarwar Naif R.Aljohani Ibrahim A.Hameed muhammad umair Hassan Department of Computer Science and Engineering University of Engineering and TechnologyLahorePakistan Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal UniversityJinhuaChina OTHEM Manchester Metropolitan UniversityManchesterUK Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia Department of ICT and Natural Sciences Norwegian University of Science and Technology(NTNU)ÅlesundNorway

Transportation systems primarily depend on vehicular flow on roads. Developed coun-tries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

关键词： access control artificial intelligence computer vision intelligent control

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Circulating tumor DNA and its role in detection, prognosis and therapeutics of hepatocellular carcinoma

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Chinese Journal of Cancer Research 2024年第2期36卷 195-214页

作者： Sana Rashid Yingchuan Sun umair Ali Khan Saddozai Sikandar Hayyat muhammad Usman Munir muhammad Usman Akbar muhammad Babar Khawar Zhiguang Ren Xinying Ji Malik Ihsan Ullah Khan Institute of Molecular Biology and Biotechnology University of LahoreLahore 54590Pakistan Department of Internal Oncology(Section Ⅰ) Xuchang Municipal Central HospitalXuchang 461000China Institute of Translational Medicine Medical CollegeYangzhou UniversityYangzhou 225001China Australian Institute for Bioengineering&Nanotechnology the University of QueenslandBrisbane 4072Australia Gomal Center of Biochemistry and Biotechnology Gomal UniversityDera Ismail Khan 29111Pakistan Applied Molecular Biology and Biomedicine Lab Department of ZoologyUniversity of NarowalNarowal Punjab 51600Pakistan Kaifeng Municipal Key Laboratory for Infection and Biosafety Henan International Joint Laboratory of Nuclear Protein RegulationSchool of Basic Medical SciencesHenan UniversityKaifeng 475004China Faculty of Basic Medical Subjects Shu-Qing Medical College of ZhengzhouZhengzhou 450064China Department of Medicine Huaxian County People's HospitalHuaxian 456400China

Hepatocellular carcinoma(HCC) is considered the fifth most prevalent cancer among all types of cancers and has the third most morbidity value. It has the most frequent duplication time and a high recurrence rate. Recently, the most unique technique used is liquid biopsies, which carry many markers;the most prominent is circulating tumor DNA(ctDNA). Varied methods are used to investigate ctDNA, including various forms of polymerase chain reaction(PCR) [emulsion PCR(ePCR), digital PCR(dPCR), and bead, emulsion, amplification, magnetic(BEAMing) PCR]. Hence ctDNA is being recognized as a potential biomarker that permits early cancer detection,treatment monitoring, and predictive data on tumor burden are subjective to therapy or surgery. Numerous ctDNA biomarkers have been investigated based on their alterations such as 1) single nucleotide variations(either insertion or deletion of a nucleotide) markers including TP53, KRAS, and CCND1;2) copy number variations which include markers such as CDK6, EFGR, MYC and BRAF;3) DNA methylation(RASSF1A, SEPT9, KMT2C and CCNA2);4) homozygous mutation includes ctDNA markers as CDKN2A, AXIN1;and 5) gain or loss of function of the genes, particularly for HCC. Various researchers have conducted many studies and gotten fruitful ***, there are some drawbacks to ctDNA namely low quantity, fragment heterogeneity, less stability, limited mutant copies and standards, and differential sensitivity. However, plenty of investigations demonstrate ctDNA's significance as a polyvalent biomarker for cancer and can be viewed as a future diagnostic, prognostic and therapeutic agent. This article overviews many conditions in genetic changes linked to the onset and development of HCC, such as dysregulated signaling pathways, somatic mutations, single-nucleotide polymorphisms, and genomic instability. Additionally, efforts are also made to develop treatments for HCC that are molecularly targeted and to unravel some of the genetic pathways that f

关键词： Hepatocellular carcinoma circulating tumor DNA biomarkers single nucleotide variations diagnosis prognosis

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ATM is a Prognostic Biomarker of Survival in Head and Neck Squamous Cell Carcinoma Patients

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Proceedings of Anticancer Research 2024年第5期8卷 121-135页

作者： muhammad umair Abid Department of Plant Breeding and Genetics University of Agriculture FaisalabadFaisalabadPakistan

This review examines the role of ATM expression in head and neck squamous cell carcinoma(HNSCC).Analysis revealed significant overexpression of ATM in HNSCC cells compared to normal control samples,suggesting its involvement in cancer *** expression was notably upregulated across various clinical parameters,including different stages of cancer,racial groups,genders,and age groups,highlighting its role in cancer *** using the GEPIA2 tool confirmed strong ATM expression throughout all four stages of HNSCC,with the highest levels in stage II and the lowest in stage *** methylation analysis of ATM showed distinct patterns across different demographics and cancer stages,reinforcing its *** study also explored the relationship between ATM expression and patient outcomes using the KM plotter tool,finding that high ATM expression was associated with better overall survival(OS),while low ATM expression correlated with better disease-free survival(DFS).Genetic mutation analysis via cBioPortal identified minimal ATM mutations in HNSCC,including in-frame,splice,truncating,and missense mutations,suggesting their role in ATM *** STRING tool was used to construct a protein-protein interaction(PPI)network,revealing that the ATM gene interacts with ten key genes(NBN,ATR,CHEK2,MDC1,MSH2,MSH6,MRE11,TP53,TP53BP1,BRCA1),indicating its involvement in various biological *** annotation of differentially expressed genes(DEGs)through the DAVID web server revealed their participation in critical biological processes,including double-strand break repair,cellular response to DNA damage,and DNA damage *** pathway analysis further linked DEGs to cellular senescence,platinum drug resistance,homologous recombination,p53 signaling,and the cell cycle,underscoring ATM’s multifaceted role in HNSCC.

关键词： Head and neck squamous cell carcinoma Diagnosis Treatment Biomarker

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GINS1 as a Novel Biomarker of Survival in Colon Adenocarcinoma Patients-A Secondary Publication

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Proceedings of Anticancer Research 2024年第3期8卷 60-67页

作者： muhammad umair Abid Yasir Hameed Department of Plant Breeding and Genetics University of Agriculture FaisalabadFaisalabadPakistan Department of Biochemistry and Biotechnology The Islamia University of BahawalpurBahawalpurPakistan

The study focused on elaborating the role of GINS1 expression and its regulatory mechanisms in colon adenocarcinoma (COAD). Using the UALCAN informational index, GINS1 expression assessment unveiled a critical up- regulation in malignant cells that stood out from normal controls, suggesting its contribution to COAD expansion. Further dismantling GINS1 expression across various boundaries revealed unsurprising up-regulation in different malignant development stages, racial groups, genders, and age classes in COAD patients, characteristics for its imperative role in cancer progression. Moreover, this study investigated the promoter methylation status of GINS1, uncovering a critical uniqueness between COAD samples and normal controls. Analyzing promoter methylation across various clinical boundaries uncovered powerful variations, with particular methylation patterns seen across cancer stages, race groups, genders, and age groups. Survival analysis using the Kaplan-Meier (KM) plotter tool showed a colossal connection between GINS1 expression levels and overall survival (OS) in COAD patients, with low GINS1 expression interfacing with higher OS. Additionally, mutational examination using the cBioPortal stage revealed that no critical change was found in COAD. Overall, these findings revealed the complex contribution of GINS1 in COAD pathogenesis, underlining its actual limit as a prognostic biomarker and supportive therapeutic agent in COAD management.

关键词： Colon adenocarcinoma Diagnosis Treatment

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Spatio-temporal variations in trends of vegetation and drought changes in relation to climate variability from 1982 to 2019 based on remote sensing data from East Asia

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Journal of Integrative Agriculture 2023年第10期22卷 3193-3208页

作者： Shahzad ALI Abdul basit muhammad umair Tyan Alice MAKANDA Fahim Ullah KHAN Siqi SHI NI Jian College of Chemistry and Life Sciences Zhejiang Normal UniversityJinhua 321004P.R.China Department of Agriculture Hazara UniversityMansehra 21120Pakistan Department of Computer Science University of PeshawarPeshawar 25000Pakistan Faculty of Geo-Information Science and Earth Observation(ITC) University of TwenteEnschede 7500 AENetherlands

Studying the significant impacts on vegetation of drought due to global warming is crucial in order to understand its dynamics and interrelationships with temperature,rainfall,and normalized difference vegetation index(NDVI).These factors are linked to excesses drought frequency and severity on the regional scale,and their effect on vegetation remains an important topic for climate change *** Asia is very sensitive and susceptible to climate *** this study,we examined the effect of drought on the seasonal variations of vegetation in relation to climate variability and determined which growing seasons are most vulnerable to drought risk;and then explored the spatio-temporal evolution of the trend in drought changes in East Asia from 1982 to *** data were studied using a series of several drought indexes,and the data were then classified using a heat map,box and whisker plot analysis,and principal component *** various drought indexes from January to August improved rapidly,except for vegetation health index(VHI)and temperature condition index(TCI).While these indices were constant in September,they increased again in October,but in December,they showed a descending *** seasonal and monthly analysis of the drought indexes and the heat map confirmed that the East Asian region suffered from extreme droughts in 1984,1993,2007,and 2012among the study *** distribution of the trend in drought changes indicated that more severe drought occurred in the northwestern region than in the southeastern area of East *** drought tendency slope was used to describe the changes in drought events during 1982–2019 in the study *** correlations among monthly precipitation anomaly percentage(NAP),NDVI,TCI,vegetation condition index(VCI),temperature vegetation drought index(TVDI),and VHI indicated considerably positive correlations,while considerably negative correlations were found among the three pairs of NDVI and VHI,TVDI and VHI,and NDV

关键词： climate change drought severity vegetation dynamics heat mapping TVDI spatial correlation East Asia

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CARM:Context Based Association Rule Mining for Conventional Data

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Computers, Materials & Continua 2021年第9期68卷 3305-3322页

作者： muhammad Shaheen umair Abdullah Faculty of Engineering&Information Technology Foundation UniversityIslamabadPakistan Department of Computer Science Barani Institute of Information TechnologyRawalpindiPakistan

This paper is aimed to develop an algorithm for extracting association rules,called Context-Based Association Rule Mining algorithm(CARM),which can be regarded as an extension of the Context-Based Positive and Negative Association Rule Mining algorithm(CBPNARM).CBPNARM was developed to extract positive and negative association rules from Spatiotemporal(space-time)data only,while the proposed algorithm can be applied to both spatial and non-spatial *** proposed algorithm is applied to the energy dataset to classify a country’s energy development by uncovering the enthralling interdependencies between the set of variables to get positive and negative *** association rules related to sustainable energy development are extracted by the proposed algorithm that needs to be pruned by some pruning *** context,in this paper serves as a pruning measure to extract pertinent association rules from non-spatial *** Probability Increment Ratio(CPIR)is also added in the proposed algorithm that was not used in *** inclusion of the context variable and CPIR resulted in fewer rules and improved robustness and ease of ***,the extraction of a common negative frequent itemset in CARM is different from that of *** rules created by the proposed algorithm are more meaningful,significant,relevant and *** accuracy of the proposed algorithm is compared with the Apriori,PNARM and CBPNARM *** results demonstrated enhanced accuracy,relevance and timeliness.

关键词： Association rules context CBPNARM non-spatial data CPIR support confidence interestingness

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