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Frontiers of Information Technology & Electronic Engineering 2015年第5期16卷 404-417页

作者： Tahir nadeem malik Salman ZAFAR Saaqib HAROON Electrical Engineering Department University of Engineering and Technology

Short-term hydrothermal scheduling(STHTS) is a non-linear and complex optimization problem with a set of operational hydraulic and thermal constraints. Earlier, this problem has been addressed by several classical techniques; however, due to limitations such as non-linearity and non-convexity in cost curves, artificial intelligence tools based techniques are being used to solve the STHTS problem. In this paper an improved chaotic hybrid differential evolution(ICHDE) algorithm is proposed to find an optimal solution to this problem taking into account practical constraints. A self-adjusted parameter setting is obtained in differential evolution(DE) with the application of chaos theory, and a chaotic hybridized local search mechanism is embedded in DE to effectively prevent it from premature convergence. Furthermore, heuristic constraint handling techniques without any penalty factor setting are adopted to handle the complex hydraulic and thermal constraints. The superiority and effectiveness of the developed methodology are evaluated by its application in two illustrated hydrothermal test systems taken from the literature. The transmission line losses, prohibited discharge zones of hydel plants, and ramp rate limits of thermal plants are also taken into account. The simulation results reveal that the proposed technique is competent to produce an encouraging solution as compared with other recently established evolutionary approaches.

关键词： Valve-point effect Prohibited discharge zones Differential evolution Chaotic sequences Constraint handling

A Deep Learning Based Sentiment Analytic Model for the Prediction of Traffic Accidents

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Computers, Materials & Continua 2023年第11期77卷 1599-1615页

作者： nadeem malik Saud Altaf Muhammad Usman Tariq Ashir Ahmed Muhammad Babar University Institute of Information Technology PMAS Arid Agriculture UniversityRawalpindi46000Pakistan Department of Marketing Operationsand Information SystemAbu Dhabi UniversityAbu Dhabi6844United Arab Emirates College of Computer and Information Sciences Prince Sultan UniversityRiyadh11442Saudi Arabia Robotics and Internet of Things Lab Prince Sultan UniversityRiyadh11442Saudi Arabia

The severity of traffic accidents is a serious global concern,particularly in developing *** the main causes and contributing circumstances may reduce the severity of traffic *** exist many machine learning models and decision support systems to predict road accidents by using datasets from different social media forums such as Twitter,blogs and *** such approaches are popular,there exists an issue of data management and low prediction *** article presented a deep learning-based sentiment analytic model known as Extra-large Network Bi-directional long short term memory(XLNet-Bi-LSTM)to predict traffic collisions based on data collected from social ***,a Tweet dataset has been formed by using an exhaustive keyword-based searching *** the next phase,two different types of features named as individual tokens and pair tokens have been obtained by using POS tagging and association rule *** output of this phase has been forwarded to a three-layer deep learning model for final *** experiment has been performed to test the efficiency of the proposed XLNet-Bi-LSTM *** has been shown that the proposed model achieved 94.2%prediction accuracy.

关键词： Accident XLNet Bi-LSTM association rule mining Twitter

Thyroglossal Duct Anomalies in Pediatric and Adult Population: A 10-Year Experience in a Tertiary Care Hospital

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Surgical Science 2021年第7期12卷 226-235页

作者： Montasir Junaid Ghaleb Al-Sayed Sayed Agha Ali Shah Hareem U. Khan Ali Mahdi Al Qannass nadeem W. malik Yahya Al Kahtani Ahmed Arghabi Abdul Aziz Ali Binhossan Sadaf Qadeer Ahmed Department of Otolaryngology-Head and Neck Surgery Armed Forces Hospital Khamis Mushait KSA Department of Pathology Armed Forces Hospital Khamis Mushait KSA Department of Otolaryngology-Head and Neck Surgery Stanford University Palo Alto USA Department of Otolaryngology-Head and Neck Surgery Sir Syed University of Medical Sciences for Girls Karachi Pakistan

Introduction: Thyroglossal duct cyst is a well-recognized congenital midline neck swelling observed in early childhood and rarely in adults. It may reveal itself as a painless cyst, abscess, or as fistula. Several studies have been conducted across the world, but the literature is scarce on its presentation and complications in the Middle East. This indexing study aims to report a 10-year experience with thyroglossal duct cyst (TGDC) presentation, excision, and recurrence at a teaching hospital in Saudi Arabia (KSA). Methods: A retrospective chart review was conducted at the Armed Forces Hospital Southern Region, KSA from December 2008 to December 2018. Data were retrieved from the electronic medical record system of the hospital and validated with the histopathology records. A total of 48 patients diagnosed as TGDC, sinus or fistula were identified. Stata ver. 16.1 was used to analyze the data and results formulated using regression model and Pearson’s chi-square test. Results: The majority of our patients were female (60.4%), and the most common presentation was a midline neck swelling which moved with tongue protrusion. Surgical excision via Complete Sistrunk procedure was the operation of choice in 60.5% followed by excision of the cyst with tract and sinus tract. Previous infection and surgical history contributed to complications in our patients, but no association of age or gender was observed. Patients presenting with infected and discharging cysts were found to be much more likely to develop a recurrence (9 patients). Cysts deep to the hyoid showed more recurrence [n = 7 (78%)] compared to superficial cysts [n = 2 (22%)] and posterior and multi-tract lesions also showed significant recurrence. Conclusion: Despite being a common cause of neck swelling, thyroglossal duct cyst is often missed on physical exams. To reduce complications, timely diagnosis and treatment are necessary.

关键词： Midline Neck Swelling Thyroglossal Duct Cyst Sinus Tract Sistrunk Procedure

Flow of a Jeffery-Six Constant Fluid Between Coaxial Cylinders with Heat Transfer Analysis

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Communications in Theoretical Physics 2011年第8期56卷 345-351页

作者： Muhammad Yousaf malik Azad Hussain Sohail nadeem Department of Mathematics Quaid-i-Azam University

In the present investigation we have discussed the flow of a Jeffrey-six constant incompressible fluid between two infinite coaxial cylinders in the presence of heat transfer analysis. The governing equations of Jeffrey-six constant fluid along with energy equation have been derived in cylindrical coordinates. The highly nonlinear equations are simplified with the help of non-dimensional parameters and then solved analytically with the help of homotopy analysis method （HAM） for two fundamental flows namely Couette and Generalized Couette flow. The effects of emerging parameters are discussed through graphs. The convergence of the HAM solution has been discussed by plotting h-curves.

关键词： Jeffery-six constant fluid coaxial cylinders heat transfer analysis HAM solutions

Analytical Treatment of an Oldroyd 8-constant Fluid Between Coaxial Cylinders with Variable Viscosity

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Communications in Theoretical Physics 2011年第11期56卷 933-938页

作者： Muhammad Yousaf malik Azad Hussain Sohail nadeem Department of Mathematics Quaid-i-Azam University

The flow of an Oldroyd 8-constant fluid between coaxial cylinders with variable viscosity is *** heat transfer analysis is also taken into *** analytical solution of the non-linear problem is obtained usinghomotopy an... 详细信息

关键词： variable viscosity analytical solution heat transfer

Series solutions for the stagnation flow of a second-grade fluid over a shrinking sheet

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Applied Mathematics and Mechanics(English Edition) 2009年第10期30卷 1255-1262页

作者： S. nadeem Anwar Hussain M. Y. malik T. Hayat Department of Mathematics Quaid-i-Azam University

This study derives the analytic solutions of boundary layer flows bounded by a shrinking sheet. With the similarity transformations, the partial differential equations are reduced into the ordinary differential equations which are then solved by the homotopy analysis method （HAM）. Two-dimensional and axisymmetric shrinking flow cases are discussed.

关键词： stagnation flow second-grade fluid shrinking sheet

Reinforcing Artificial Neural Networks through Traditional Machine Learning Algorithms for Robust Classification of Cancer

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Computers, Materials & Continua 2023年第5期75卷 4293-4315页

作者： Muhammad Hammad Waseem malik Sajjad Ahmed nadeem Ishtiaq Rasool Khan Seong-O-Shim Wajid Aziz Usman Habib Department of Computer Sciences and Information Technology University of Azad Jammu and KashmirMuzaffarabad13100Pakistan Department of Computer Science and AI College of Computer Science and EngineeringUniversity of JeddahJeddah23890Saudi Arabia Department of Computer and Network Engineering College of Computer Science and EngineeringUniversity of JeddahJeddah23890Saudi Arabia Department of AI&DS School of ComputingNational University of Computer and Emerging SciencesIslamabad44000Pakistan

Machine Learning(ML)-based prediction and classification systems employ data and learning algorithms to forecast target ***,improving predictive accuracy is a crucial step for informed *** the healthcare domain,data are available in the form of genetic profiles and clinical characteristics to build prediction models for complex tasks like cancer detection or *** ML algorithms,Artificial Neural Networks(ANNs)are considered the most suitable framework for many classification *** network weights and the activation functions are the two crucial elements in the learning process of an *** weights affect the prediction ability and the convergence efficiency of the *** traditional settings,ANNs assign random weights to the *** research aims to develop a learning system for reliable cancer prediction by initializing more realistic weights computed using a supervised setting instead of random *** proposed learning system uses hybrid and traditional machine learning techniques such as Support Vector Machine(SVM),Linear Discriminant Analysis(LDA),Random Forest(RF),k-Nearest Neighbour(kNN),and ANN to achieve better accuracy in colon and breast cancer *** system computes the confusion matrix-based metrics for traditional and proposed *** proposed framework attains the highest accuracy of 89.24 percent using the colon cancer dataset and 72.20 percent using the breast cancer dataset,which outperforms the other *** results show that the proposed learning system has higher predictive accuracies than conventional classifiers for each dataset,overcoming previous research ***,the proposed framework is of use to predict and classify cancer patients ***,this will facilitate the effective management of cancer patients.

关键词： ANN decision support systems gene-expression data hybrid classification machine learning predictive analytics

Interaction of ciprofloxacin hydrochloride with sodium dodecyl sulfate in aqueous/electrolytes solution at different temperatures and compositions

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Chinese Journal of Chemical Engineering 2020年第1期28卷 216-223页

作者： Sk.Md.Ali Ahsan Md.Ruhul Amin Shamim Mahbub Mohammad Robel Molla Shahina Aktar malik Abdul Rub Md.Anamul Hoque Muhammad nadeem Arshad Mohammed Abdullah Khan Department of Chemistry Jahangirnagar UniversitySavarDhaka 1342Bangladesh Chemistry Department Faculty of ScienceKing Abdulaziz UniversityJeddah-21589Saudi Arabia Center of Excellence for Advanced Materials Research King Abdulaziz UniversityJeddah-21589Saudi Arabia

Interactions of ciprofloxacin hydrochloride(CPFH)with sodium dodecyl sulfate(SDS)were investigated by conductivity measurement in H2O/electrolyte solutions(NaCl,Na2SO4&Na3PO4)over 298.15–318.15 K temperature range(with 5 K interval)considering the human body *** all cases,two critical micelle concentrations(c*)were observed which are increased in the presence of drug and decreased in the presence of salts enunciating the presence of interaction amongst the studied ***(CPFH+SDS)system in the presence of salt,the c*values at 303.15 K and I=0.50 mmol·kg^-1 followed the order:CNaCl>CNa2SO4>***ΔG1,m0 andΔG2,m0values are found to be negative for all systems that show that the micellization process is thermodynamically ***(CPFH+SDS)system in water,theΔHm0&ΔSm0 values reveal that the micellization processes is both entropy dominated in almost all *** the occurrence of electrolytes,ΔHm0 andΔSm0 values indicate that micellization processes are both entropy&enthalpy restricted at upper temperature but it becomes totally entropy dependent at higher *** higher positiveΔSm0 values indicate the enhanced hydrophobic interaction in presence of *** enthalpy-entropy compensation was determined from the linear relationship betweenΔHm0 andΔSm0 values in every *** transfer energies as well as compensation temperature and intrinsic enthalpy were also evaluated and the behaviors were comparable to other biological system.

关键词： Ciprofloxacin hydrochloride Sodium dodecyl sulfate Critical micelle concentration Thermodynamic indices Hydrophobic effect

ROLE OF ACULASER THERAPY IN CEREBRAL PALSY CHILDERN (INITIAL DATA & RESULTS)

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World Journal of Acupuncture-Moxibustion 2004年第1期14卷 18-25页

作者： Shahzad Anwar malik Mohammad nadeem Khan Imtiaz Ahmed Abid Hareef Awan Anwar Shah's First C.P.& Paralysis Clinic and Research Center Children Hospital & Institute of Child HealthSheikh Zayed HospitalAnwar Shah's First C.P.& Paralysis Clinic and Research Center 17 C Main Boulevard Faisal Town LahoreLahoreLahore Pakistan 17 C Main Boulevard Faisal Town Lahore

A single, open and non-comparative study was conducted at Anwar Shah’s First C.P. & Paralysis Clinic and Research Center to evaluate the effects of Aculaser (acupoint-laser) Therapy for children suffering from cerebral palsy (CP) of various types. These children were further classified according to their major complaints. Analysis of the data indicated that 11 children with severe spasticity and stiffness all showed marked improvement (100% success rate); of the 8 children with epileptic fits, 6 patients had a significant reduction in the intensity, frequency and duration of epileptic fits, while the rest 2 cases showed no any improvement or aggravation (75% success rate); out of 5 children with cortical blindness, 2 cases showed complete recovery of vision and 3 had marked improvement (40% cure rate); out of 4 children with hearing difficulties, 2 showed marked improvement (50% success rate); out of 14 children with aphasis, 8 showed improvement (57% improvement rate). Results of this study show that Aculaser Therapy has a high improvement rate of CP children, not only improving the spasticity and stiffness but also the cortical blindness, epilepsy, deafness and speech.

关键词： Infantile cerebral palsy Acupoint-laser therapy Clinical observation

A systematic study on the role of SentiWordNet in opinion mining

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Frontiers of Computer Science 2021年第4期15卷 165-183页

作者： Mujtaba HUSNAIN malik Muhammad Saad MISSEN nadeem AKHTAR Mickael COUSTATY Shahzad MUMTAZ V.B.Surya PRASATH Department of IT Faculty of ComputingThe Islamia University of BahawalpurBahawalpur 63100Pakistan Laboratoire Informatique Image et Interaction(L3i)Facultés des Sciences et TechnologiesUniversity of La RochelleLa Rochelle 17000France Division of Biomedical Informatics Cincinnati Children’s Hospital Medical CenterCincinnati 45229USA Department of Pediatrics University of Cincinnati College of MedicineCincinnati 45229USA Department of Biomedical Informatics College of MedicineUniversity of CincinnatiCincinnati 45267USA Department of Electrical Engineering and Computer Science University of CincinnatiCincinnati 45221USA

Sentiment lexicons(SL)(aka lexical resources)are the repositories of one or several dictionaries that consist of known and precompiled sentiment *** lexicons play an important role in performing several different opinion mining *** efficacy of the lexicon-based approaches in performing opinion mining(OM)tasks solely depends on selecting an appropriate opinion lexicon to analyze the ***,one has to explore the available sentiment lexicons and then select the most suitable *** available resources,SentiWordNet(SWN)is the most widely used lexicon to perform tasks related to opinion *** SWN,each synset of WordNet is being assigned the three sentiment numerical scores;positive,negative and objective that are calculated using by a set of *** this paper,a detailed and comprehensive review of the work related to opinion mining using Senti-WordNet is provided in a very distinctive *** survey will be useful for the researchers contributing to the field of opinion *** features make our contribution worthwhile and unique among the reviews of similar kind:(i)our review classifies the existing literature with respect to opinion mining tasks and subtasks(ii)it covers a very different outlook of the opinion mining field by providing in-depth discussions of the existing works at different granularity levels(word,sentences,document,aspect,clause,and concept levels)(iii)this state-ofart review covers each article in the following dimensions:the designated task performed,granularity level of the task completed,results obtained,and feature dimensions,and(iv)lastly it concludes the summary of the related articles according to the granularity levels,publishing years,related tasks(or subtasks),and types of classifiers *** the end,major challenges and tasks related to lexicon-based approaches towards opinion mining are also discussed.

关键词： opinion mining lexical based resources Senti-WordNet opinion strength