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Deep Learning and Machine Learning-Based Model for Conversational Sentiment Classification

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Computers, Materials & Continua 2022年第8期72卷 2323-2339页

作者： Sami Ullah muhammad ramzan talib Toqir A.Rana muhammad Kashif Hanif muhammad Awais Department of Computer Science Government College University Faisalabad38000Pakistan Department of Computer Science and IT The University of Lahore54590Pakistan School of Computer Sciences Universiti Sains Malaysia(USM)11800PenangMalaysia Department of Software Engineering Government College University Faisalabad38000Pakistan

In the current era of the internet,people use online media for conversation,discussion,chatting,and other similar *** of such material where more than one person is involved has a spate challenge as compared to other text analysis *** are several approaches to identify users’emotions fromthe conversational text for the English language,however regional or low resource languages have been *** Urdu language is one of them and despite being used by millions of users across the globe,with the best of our knowledge there exists no work on dialogue analysis in the Urdu ***,in this paper,we have proposed a model which utilizes deep learning and machine learning approaches for the classification of users’emotions from the *** accomplish this task,we have first created a dataset for the Urdu language with the help of existing English language datasets for dialogue *** that,we have preprocessed the data and selected dialogues with common *** the dataset is prepared,we have used different deep learning and machine learning techniques for the classification of *** have tuned the algorithms according to the Urdu language *** experimental evaluation has shown encouraging results with 67%accuracy for the Urdu dialogue datasets,more than 10,000 dialogues are classified into five emotions i.e.,joy,fear,anger,sadness,and *** believe that this is the first effort for emotion detection from the conversational text in the Urdu language domain.

关键词： Dialogue analysis conversational opinion mining sentiment analysis sentiment analysis in Urdu language deep learning machine learning

Analysis of transverse momentum spectra of protons,deuterons,and tritons in symmetric heavy-ion collisions at√S_(NN)=200 GeV at the RHIC

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Chinese Physics C 2025年第1期49卷 223-237页

作者： Waqas Ahmad Ihsan Ullah Ali Zaman Imran Khan Akhtar Iqbal Abdul Qudus Sana Ullah Naseeb Ullah muhammad ramzan Department of Physics University of Science and TechnologyBannuKP28100 Pakistan Department of Physics COMSATS University IslamabadIslamabadPakistan Department of Physics The University of Lakki MarwatLakki MarwatKhyber PukhtunkhwaPakistan Department of Physics Govt.Degree CollegeSarai NaorangKhyber PukhtunkhwaPakistan

The blast wave model with Tsallis statistics is used to analyze the transverse momentum spectra of protons(p),deuterons(d),and tritons(t)in√S_(NN)=200 GeV gold-gold(Au-Au)collisions at the RHIC in various centrality *** particular transverse momentum ranges,the model results closely match experimental data from the PHENIX(p)and STAR(d and t)*** data are compared with those of protons obtained in Cu+Cu collisions and deuterons and tritons in Ru+Ru collisions at a center of mass energy of 200 GeV from the STAR *** spectra are used to derive the kinetic freeze-out temperatures,transverse flow velocities,and freeze-out *** to the findings,the kinetic freeze-out temperature increases from the central to peripheral *** this transition,the transverse flow velocity and freeze-out volume both *** the collisions of both collaborations,this study reveals mass-dependent kinetic freeze-out temperature and differential volume ***,the non-extensivity parameter q decreases with increasing centrality of the studied heavy-ion collisions,and heavier mass particles have smaller values of q,which implies higher degrees of thermalization and equilibrium in more central collisions and for heavier particles.

关键词： transverse momentum temperature Au+Au Cu+Cu freeze-out STAR collisions LHC Pb+Pb

Contextual Text Mining Framework for Unstructured Textual Judicial Corpora through Ontologies

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Computer Systems Science & Engineering 2022年第12期43卷 1357-1374页

作者： Zubair Nabi ramzan talib muhammad Kashif Hanif muhammad Awais Department of Computer Science Government College UniversityFaisalabad38000Pakistan Department of Software Engineering Government College UniversityFaisalabad38000Pakistan

Digitalization has changed the way of information processing, and newtechniques of legal data processing are evolving. Text mining helps to analyze andsearch different court cases available in the form of digital text documents toextract case reasoning and related data. This sort of case processing helps professionals and researchers to refer the previous case with more accuracy in reducedtime. The rapid development of judicial ontologies seems to deliver interestingproblem solving to legal knowledge formalization. Mining context informationthrough ontologies from corpora is a challenging and interesting field. Thisresearch paper presents a three tier contextual text mining framework throughontologies for judicial corpora. This framework comprises on the judicial corpus,text mining processing resources and ontologies for mining contextual text fromcorpora to make text and data mining more reliable and fast. A top-down ontologyconstruction approach has been adopted in this paper. The judicial corpus hasbeen selected with a sufficient dataset to process and evaluate the *** experimental results and evaluations show significant improvements incomparison with the available techniques.

关键词： Natural language processing judicial corpora contextual text mining ontologies information extraction information retrieval

Google Scholar University Ranking Algorithm to Evaluate the Quality of Institutional Research

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Computers, Materials & Continua 2023年第6期75卷 4955-4972页

作者： Noor Ul Sabah muhammad Murad Khan ramzan talib muhammad Anwar muhammad Sheraz Arshad Malik Puteri Nor Ellyza Nohuddin Department of Computer Science Government College UniversityFaisalabad 38000Pakistan Department of Information Sciences Division of Science and TechnologyUniversity of EducationLahore54000Pakistan Department of Software Engineering Government College UniversityFaisalabad 38000Pakistan Institute of IR4.0 Universiti Kebangsaan MalaysiaBangiSelangor43600Malaysia

Education quality has undoubtedly become an important local and international benchmark for education,and an institute’s ranking is assessed based on the quality of education,research projects,theses,and dissertations,which has always been ***,this research paper is influenced by the institutes ranking all over the *** data of institutes are obtained through Google Scholar(GS),as input to investigate the United Kingdom’s Research Excellence Framework(UK-REF)*** this purpose,the current research used a Bespoke Program to evaluate the institutes’ranking based on their *** bespoke program requires changes to improve the results by addressing these methodological issues:Firstly,Redundant profiles,which increased their citation and rank to produce false ***,the exclusion of theses and dissertation documents to retrieve the actual publications to count for ***,the elimination of falsely owned articles from scholars’*** accomplish this task,the experimental design referred to collecting data from 120 UK-REF institutes and GS for the present year to enhance its correlation analysis in this new *** data extracted from GS is processed into structured data,and afterward,it is utilized to generate statistical computations of citations’analysis that contribute to the ranking based on their *** research promoted the predictive approach of correlational ***,experimental evaluation reported encouraging results in comparison to the previous modi-fication made by the proposed *** paper discussed the limitations of the current evaluation and suggested the potential paths to improve the research impact algorithm.

关键词： Google scholar institutes ranking research assessment exercise research excellence framework impact evaluation citation data

Variable viscosity effects on the flow of MHD hybrid nanofluid containing dust particles over a needle with Hall current——a Xue model exploration

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Communications in Theoretical Physics 2022年第5期74卷 121-131页

作者： muhammad ramzan Hammad Alotaibi Department of Computer Science Bahria UniversityIslamabad44000Pakistan Department of Mathematics College of ScienceTaif UniversityPOBox 11099Taif 21944Saudi Arabia

This study scrutinizes the flow of engine oil-based suspended carbon nanotubes magnetohydrodynamics(MHD)hybrid nanofluid with dust particles over a thin moving needle following the Xue *** analysis also incorporates the effects of variable viscosity with Hall *** heat transfer analysis,the effects of the Cattaneo–Christov theory and heat generation/absorption with thermal slip are integrated into the temperature *** Tiwari–Das nanofluid model is used to develop the envisioned mathematical *** similarity transformation,the governing equations for the flow are translated into ordinary differential *** bvp4c method based on Runge–Kutta is used,along with a shooting *** are used to examine and depict the consequences of significant parameters on involved *** results revealed that the temperature of the fluid and boundary layer thickness is diminished as the solid volume fraction is ***,with an enhancement in the variable viscosity parameter,the velocity distribution becomes more *** results are substantiated by assessing them with an available study.

关键词： hybrid nanofluid dusty fluid variable viscosity Cattaneo-Christov heat flux model Hall current

Radio resource management in energy harvesting cooperative cognitive UAV assisted IoT networks:A multi-objective approach

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Digital Communications and Networks 2024年第4期10卷 1088-1102页

作者： muhammad Rashid ramzan muhammad Naeem Omer Chughtai Waleed Ejaz Mohammad Altaf Department of Electrical and Computer Engineering COMSATS University Islamabad(CUI)Wah CampusPakistan Department of Electrical Engineering Lakehead UniversityBarrieONL4M 3X9Canada

Cooperative communication through energy harvested relays in Cognitive Internet of Things(CIoT)has been envisioned as a promising solution to support massive connectivity of Cognitive Radio(CR)based IoT devices and to achieve maximal energy and spectral efficiency in upcoming wireless *** this work,a cooperative CIoT system is contemplated,in which a source acts as a satellite,communicating with multiple CIoT devices over numerous *** Aerial Vehicles(UAVs)are used as relays,which are equipped with onboard Energy Harvesting(EH)*** adopted a Power Splitting(PS)method for EH at relays,which are harvested from the Radio frequency(RF)*** conjunction with this,the Decode and Forward(DF)relaying strategy is used at UAV relays to transmit the messages from the satellite source to the CIoT *** developed a Multi-Objective Optimization(MOO)framework for joint optimization of source power allocation,CIoT device selection,UAV relay assignment,and PS ratio *** formulated three objectives:maximizing the sum rate and the number of admitted CIoT in the network and minimizing the carbon dioxide *** MOO formulation is a Mixed-Integer Non-Linear Programming(MINLP)problem,which is challenging to *** address the joint optimization problem for an epsilon optimal solution,an Outer Approximation Algorithm(OAA)is proposed with reduced *** simulation results show that the proposed OAA is superior in terms of CIoT device selection and network utility maximization when compared to those obtained using the Nonlinear Optimization with Mesh Adaptive Direct-search(NOMAD)algorithm.

关键词： Cooperative communication Energy harvesting Power splitting Unmanned aerial vehicles Cognitive radio Internet of things Multi-objective optimization Relay assignment Power allocation

Current controversies and advances in the management of pancreatic adenocarcinoma

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World Journal of Gastrointestinal Oncology 2021年第6期13卷 472-494页

作者： muhammad Shehroz Zeeshan Zeeshan ramzan Gastrointestinal Section Department of MedicineTexas Health Harris Methodist HospitalFort WorthTX 76104United States

Pancreatic adenocarcinoma is a lethal disease with a mortality rate that has not significantly improved over *** is likely due to several challenges unique to pancreatic *** patients with pancreatic cancer are diagnosed at a late stage of disease due to the lack of specific symptoms prompting an early investigation.A small subset of patients who are diagnosed at an early stage have a better chance at survival with curative surgical resection,but most patients still succumb to the disease in a few *** dismal overall prognosis is due to suspected micro-metastasis at an early *** to this reason,there is a recent interest in treating all patients with pancreatic cancers with systemic therapy upfront(including the ones that are surgically resectable).This approach is still not the standard of care due to the lack of robust prospective data *** advancements in treatment regimens of chemotherapy,radiation and immunotherapy have improved the overall short-term survival but the long-term survival still remains *** approaches in diagnosis and treatment have shown promise in clinical studies but long-term clinical data is *** following manuscript presents an overview of the epidemiology,diagnosis,staging,recent advances,novel approaches and controversies in the management of pancreatic adenocarcinoma.

关键词： Pancreatic adenocarcinoma Advances in management Imaging Novel approaches Chemotherapy Controversies

Gastrointestinal Tract Infections Classification Using Deep Learning

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Computers, Materials & Continua 2021年第12期69卷 3239-3257页

作者： muhammad ramzan Mudassar Raza muhammad Sharif muhammad Attique Khan Yunyoung Nam Department of Computer Science COMSATS University IslamabadWah Campus47040Pakistan Department of Computer Science HITEC University TaxilaTaxila47080Pakistan Department of Computer Science and Engineering Soonchunhyang UniversityAsanKorea

Automatic gastrointestinal(GI)tract disease recognition is an important application of biomedical image ***,microscopic analysis of pathological tissue is used to detect abnormal areas of the GI *** procedure is subjective and results in significant inter-/intraobserver variations in disease ***,a huge frame rate in video endoscopy is an overhead for the pathological findings of gastroenterologists to observe every frame with a detailed ***,there is a huge demand for a reliable computer-aided diagnostic system(CADx)for diagnosing GI tract *** this work,a CADx was proposed for the diagnosis and classification of GI tract diseases.A novel framework is presented where preprocessing(LAB color space)is performed first;then local binary patterns(LBP)or texture and deep learning(inceptionNet,ResNet50,and VGG-16)features are fused serially to improve the prediction of the abnormalities in the GI ***,principal component analysis(PCA),entropy,and minimum redundancy and maximum relevance(mRMR)feature selection methods were analyzed to acquire the optimized characteristics,and various classifiers were trained using the fused ***-source color image datasets(KVASIR,NERTHUS,and stomach ULCER)were used for performance *** study revealed that the subspace discriminant classifier provided an efficient result with 95.02%accuracy on the KVASIR dataset,which proved to be better than the existing state-of-the-art approaches.

关键词： Convolutional neural network feature fusion gastrointestinal tract handcrafted features features selection

Classification of static spherically symmetric perfect fluid space-times via conformal vector fields in f(T)gravity

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Communications in Theoretical Physics 2022年第12期74卷 108-116页

作者： Fiaz Hussain Murtaza Ali muhammad ramzan Sabiha Qazi Department of Mathematics The Islamia University of BahawalpurPakistan Faculty of Engineering Sciences GIK Institute of Engineering Sciences and TechnologyTopiSwabiKPKPakistan

In this paper,we classify static spherically symmetric(SS)perfect fluid space-times via conformal vector fields(CVFs)in f(T)*** this analysis,we first explore static SS solutions by solving the Einstein field equations in f(T)***,we implement a direct integration technique to classify the resulting *** the classification,there arose 20 *** each case thoroughly,we came to know that in three cases the space-times under consideration admit proper CVFs in f(T)*** one case,the space-time admits proper homothetic vector fields,whereas in the remaining 16 cases either the space-times become conformally flat or they admit Killing vector fields.

关键词： spherically symmetric space-times conformal vector fields f(T)gravity