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MCBC-SMOTE:A Majority Clustering Model for Classification of Imbalanced Data

Computers, Materials & Continua 2022年第12期73卷 4801-4817页

作者： Jyoti Arora Meena Tushir Keshav Sharma Lalit Mohan aman Singh Abdullah Alharbi Wael Alosaimi Department of Information Technology MSITGGSIPUNew Delhi110058India Department of Electrical and Electronic Engineering MSITGGSIPUNew Delhi110058India School of Computer Science and Engineering Lovely Professional University144411PunjabIndia Department of Information Technology College of Computers and Information TechnologyTaif University11099Taif 21944Saudi Arabia

Datasets with the imbalanced class distribution are difficult to handle with the standard classification *** supervised learning,dealing with the problem of class imbalance is still considered to be a challenging research *** machine learning techniques are designed to operate on balanced datasets;therefore,the state of the art,different undersampling,over-sampling and hybrid strategies have been proposed to deal with the problem of imbalanced datasets,but highly skewed datasets still pose the problem of generalization and noise generation during *** overcome these problems,this paper proposes amajority clusteringmodel for classification of imbalanced datasets known as MCBC-SMOTE(Majority Clustering for balanced Classification-SMOTE).The model provides a method to convert the problem of binary classification into a multi-class *** the proposed algorithm,the number of clusters for themajority class is calculated using the elbow method and the minority class is over-sampled as an average of clustered majority classes to generate a symmetrical class *** proposed technique is cost-effective,reduces the problem of noise generation and successfully disables the imbalances present in between and within *** results of the evaluations on diverse real datasets proved to provide better classification results as compared to state of the art existing methodologies based on several performance metrics.

关键词： Imbalance class problem classification SMOTE k-means clustering sampling

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Context-Aware Collaborative Filtering Framework for Rating Prediction Based on Novel Similarity Estimation

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Computers, Materials & Continua 2020年第5期63卷 1065-1078页

作者： Waqar Ali Salah Ud Din Abdullah aman Khan Saifullah Tumrani Xiaochen Wang Jie Shao School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China Faculty of Information Technology The University of LahoreLahore54000Pakistan Sichuan Artificial Intelligence Research Institute Yibin644000China

Recommender systems are rapidly transforming the digital world into intelligent information *** valuable context information associated with the users’prior transactions has played a vital role in determining the user preferences for items or rating *** has been a hot research topic in collaborative filtering-based recommender systems for the last two *** paper presents a novel Context Based Rating Prediction(CBRP)model with a unique similarity scoring estimation *** proposed algorithm computes a context score for each candidate user to construct a similarity pool for the given subject user-item pair and intuitively choose the highly influential users to forecast the item *** context scoring strategy has an inherent capability to incorporate multiple conditional factors to filter down the most relevant *** with traditional similarity estimation methods,CBRP makes it possible for the full use of neighboring collaborators’choice on various *** conduct experiments on three publicly available datasets to evaluate our proposed method with random user-item pairs and got considerable improvement in prediction accuracy over the standard evaluation ***,we evaluate prediction accuracy for every user-item pair in the system and the results show that our proposed framework has outperformed existing methods.

关键词： Recommender system context-based similarity estimation rating prediction collaborative filtering

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Quantification of Ride Comfort Using Musculoskeletal Mathematical Model Considering Vehicle Behavior

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2287-2306页

作者： Junya Tanehashi Szuchi Chang Takahiro Hirosei Masaki Izawa aman Goyal Ayumi Takahashi Kazuhito Misaji Graduate Student Graduate School of Industrial TechnologyNihon UniversityChiba275-8575Japan Hitachi Astemo Ltd.Tochigi321-3325Japan Former Graduate Student Graduate School of Industrial TechnologyNihon UniversityChiba275-8575Japan College of Industrial Technology Nihon UniversityChiba275-8575Japan

This research aims to quantify driver ride comfort due to changes in damper characteristics between comfort mode and sport mode,considering the vehicle’s inertial *** comfort of riding in an automobile has been evaluated in recent years on the basis of a subjective sensory evaluation given by the ***,reflecting driving sensations in design work to improve ride comfort is abstract in nature and difficult to express ***,we evaluated the human body’s effects while driving scientifically by quantifying the driver’s behavior while operating the steering wheel and the behavior of the automobile while in motion using physical *** this end,we collected driver and vehicle data using amotion capture system and vehicle CAN and IMU *** also constructed a three-dimensional musculoskeletal mathematical model to simulate driver movements and calculate the power and amount of energy per unit of time used for driving the joints and muscles of the human ***,we used comfort mode and sport mode to compare damper characteristics in terms of *** comfort mode,damper characteristics are soft and steering stability is mild,but vibration from the road is not easily transmitted to the driver making for a lighter load on the *** sport mode,on the other hand,damper characteristics are hard and steering stability is comparatively ***,vibration from the road is easily transmitted to the driver,whichmakes it easy for a load to be placed on the *** a result of this comparison,it was found that a load was most likely to be applied to the driver’s *** result in relation to the neck joint can therefore be treated as an objective measure for quantifying ride comfort.

关键词： Human engineering biomechanics driver’s sense of fatigue double lane change musculoskeletal mathematical model

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Significance of continuous rotavirus and norovirus surveillance in Indonesia

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World Journal of Pediatrics 2018年第1期14卷 4-12页

作者： Mohamad Saifudin Hakim Hera Nirwati Abu Tholib aman Yati Soenarto Qiuwei Pan Department of Gastroenterology and Hepatology ErasmusMC-University Medical Center and Postgraduate SchoolMolecular MedicineRoom Na-1001's-Gravendijkwal2303015CE RotterdamThe Netherlands Department of Micr obiology Faculty of MedicineUniversitas Gadjah MadaYogyakartaIndonesia Department of Child Health Faculty of MedicineUniversitas Gadjah MadaYogyakartaIndonesia

Background Diarrhea significantly contributes to the global burden of diseases, particularly in developing countries. Rota-virus and norovirus are the most dominant viral agents responsible for diarrheal disease globally. The aim of this review was to conduct a comprehensive assessment of rotavirus and norovirus study in Indonesia. Data sources Articles about rotavirus and norovirus surveillance in Indonesia were collected from databases, including PubMed and Google Scholar. Manual searching was performed to identify additional studies. Furthermore, relevant articles about norovirus diseases were included. Results A national surveillance of rotavirus-associated gastroenteritis has been conducted for years, resulting in substantial evidence about the high burden of the diseases in Indonesia. In contrast, norovirus infection received relatively lower attention and very limited data are available about the incidence and circulating genotypes. Norovirus causes sporadic and epidemic gastroenteritis globally. It is also emerging as a health problem in immunocompromised individuals. During post-rotavirus vaccination era, norovirus potentially emerges as the most frequent cause of diarrheal diseases. Conclusions Our review identifies knowledge gaps in Indonesia about the burden of norovirus diseases and the circulating genotypes. Therefore, there is a pressing need to conduct national surveillance to raise awareness of the community and national health authority about the actual burden of norovirus disease in Indonesia. Continuing rotavirus surveillance is also important to assess vaccine effectiveness and to continue tracking any substantial changes of circulating rotavirus genotypes.

关键词： Diarrhea Rotavirus Norovirus Indonesia Surveillance

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Design of an Efficient Cooperative Spectrum for Intra-Hospital Cognitive Radio Network

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Computers, Materials & Continua 2021年第10期69卷 35-49页

作者： Abhinav Adarsh Basant Kumar Manoj Gupta Arun Kumar aman Singh Mehedi Masud Fahad A.Alraddady Department of ECE MNNIT AllahabadPrayagraj211004India Department of ECE JECRC UniversityJaipur303905India Computer Science and Engineering Lovely Professional UniversityPunjab144411India Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Computer Engineering College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

This paper presents a new low delay centralized cooperative spectrum sensing method based on dynamic voting rule using multiple threshold level,for indoor hospital environment,where fading and direct path loss both are together responsible for variation in signal *** the proposed algorithm,weights of Cognitive Radios(CRs)in terms of assigned votecount are estimated based on the sensed energy values with respect to multiple fixed threshold levels,so that the direct path loss can be dealt without further increasing the error,which occurs due to *** indoor hospital like environment,Rician fading model is more ***,formulation,evaluation and analysis of various sensing performance parameters have been carried out considering Rician fading *** analysis and tradeoff among three optimum parameters-energy threshold,total number of CRs participating in sensing and total error rate,are presented with respect to signal to noise ratio(SNR).Finally,the Monte Carlo simulation is designed and implemented considering the two conditions-only fading environment and fading along with direct path loss *** can be observed that in both cases,the proposed spectrum sensing rule outperforms the other contemporary rules.

关键词： Cognitive radio direct path loss spectrum sensing health care

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Effect of radiation on compressibility of hot dense sodium and iron plasma using improved screened hydrogenic model with𝑙splitting

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Chinese Physics B 2021年第3期30卷 225-236页

作者： Amjad Ali G Shabbir Naz Rukhsana Kouser Ghazala Tasneem M Saleem Shahzad aman-ur-Rehman M H Nasim Department of Physics and Applied Mathematics Pakistan Institute of Engineering and Applied SciencesIslamabad 45650Pakistan Department of Nuclear Engineering Pakistan Institute of Engineering and Applied SciencesIslamabad 45650Pakistan

High pressure investigations of matter involve the study of strong shock wave dynamics within the materials which gives rise to many thermal effects leading to dissociation of molecules,ionization of atoms,and radiation emission,*** response of materials experiencing a strong shock can be determined by its shock Hugoniot calculations which are frequently applied in numerical and experimental studies in inertial confinement fusion,laboratory astrophysical plasma,*** studies involve high energy density plasmas in which the radiation plays an important role in determining the energy deposition and maximum compressibility achieved by the shock within *** this study,we present an investigation for the effect of radiation pressure on the maximum compressibility of the material using shock Hugoniot *** shock Hugoniot calculations,an equation of state(EOS)is developed in which electronic contributions for EOS calculations are taken from an improved screened hydrogenic model with−l splitting(I-SHML)[High Energy Density Physics(2018)2648]under local thermodynamic equilibrium(LTE)*** thermal ionic part calculations are adopted from the state of the art Cowan model while the cold ionic contributions are adopted from the scaled binding energy *** Shock Hugoniot calculations are carried out for sodium and iron plasmas and our calculated results show excellent agreement with published results obtained by using either sophisticated self-consistent models or the first principle study.

关键词： self-consistent-field methods thermodynamics of plasmas average atom model shock Hugoniot calculation

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Long-wavelength(red to near-infrared) emissive carbon dots: Key factors for synthesis, fluorescence mechanism, and applications in biosensing and cancer theranostics

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Chinese Chemical Letters 2021年第12期32卷 3653-3664页

作者： aman Lv Qiao Chen Chen Zhao Si Li Shan Sun Junping Dong Zhongjun Li Hengwei Lin College of Science Shanghai UniversityShanghai 200444China Cixi Institute of Biomedical Engineering Chinese Academy of Science(CAS)Key Laboratory of Magnetic Materials and Devices&Zhejiang Engineering Research Center for Biomedical MaterialsNingbo Institute of Materials Technology and EngineeringCASNingbo 315201China International Joint Research Center for Photo-responsive Molecules and Materials School of Chemical and Material EngineeringJiangnan UniversityWuxi 214122China College of Chemistry and Molecular Engineering Zhengzhou UniversityZhengzhou 450001China

Carbon dots(CDs), as a new member of carbon nanostructures, have been widely applied in extensive fields due to their exceptional physicochemical properties. While, the emissions of most reported CDs are located in the blue to green range under the excitation of ultraviolet or blue light, which severely limits their practical applications, especially in photovoltaic and biological fields. Studies that focused on synthesizing CDs with long-wavelength(red to near-infrared) emission/excitation features(simply named L-w CDs) and exploring their potential applications have been frequently reported in recent years. In this review, we analyzed the key influence factors for the synthesis of CDs with long wavelength and multicolor(containing long wavelength) emissive properties, discussed possible fluorescence mechanism,and summarized their applications in sensing and cancer theranostics. Finally, the existing challenges and potential opportunities of L-w CDs are presented.

关键词： Long-wavelength emission Carbon dots Fluorescence mechanism Sensing Cancer theranostics

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Ion population fraction calculations using improved screened hydrogenic model with l-splitting

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Chinese Physics B 2018年第10期27卷 424-432页

作者： Amjad Ali G Shabbir Naz Rukhsana Kouser Ghazala Tasneem M Saleem Shahzad aman-ur-Rehman M H Nasim Department of Physics and Applied Mathematics Pakistan Institute of Engineeringand Applied Sciences Department of Nuclear Engineering Pakistan Institute of Engineeringand Applied Sciences

Ion population fraction（IPF） calculations are very important to understand the radiative spectrum emitted from the hot dense matter. IPF calculations require detailed knowledge of all the ions and correlation interactions between the electrons of an ion which are present in a plasma environment. The average atom models, e.g., screened hydrogenic model with l-splitting（SHML）, now have the capabilities for such calculations and are becoming more popular for in line plasma calculations. In our previous work [Ali A, Shabbir Naz G, Shahzad M S, Kouser R, Rehman A and Nasim M H 2018 High Energy Density Phys. 26 48], we have improved the continuum lowering model and included the exchange and correlation effects in SHML. This study presents the calculation of IPF using classical theory of fluctuation for our improved screened hydrogenic model with l-splitting（I-SHML） under local thermodynamic equilibrium conditions for iron and aluminum plasma over a wide range of densities and temperatures. We have compared our results with other models and have found a very good agreement among them.

关键词： self-consistent average atom model average ionization state ion population

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An Intelligent Forecasting Model for Disease Prediction Using Stack Ensembling Approach

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Computers, Materials & Continua 2022年第3期70卷 6041-6055页

作者： Shobhit Verma Nonita Sharma aman Singh Abdullah Alharbi Wael Alosaimi Hashem Alyami Deepali Gupta Nitin Goyal Computer Science&Engineering Department Dr.B.R.Ambedkar National Institute of TechnologyJalandharIndia Computer Science&Engineering Department Lovely Professional UniversityJalandharIndia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif 21944Saudi Arabia Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjabIndia

This research work proposes a new stack-based generalization ensemble model to forecast the number of incidences of conjunctivitis *** addition to forecasting the occurrences of conjunctivitis incidences,the proposed model also improves performance by using the ensemble *** rate of acute Conjunctivitis per 1000 for Hong Kong is collected for the duration of the first week of January 2010 to the last week of December ***-processing techniques such as imputation of missing values and logarithmic transformation are applied to pre-process the data sets.A stacked generalization ensemble model based on Auto-ARIMA(Autoregressive Integrated Moving Average),NNAR(Neural Network Autoregression),ETS(Exponential Smoothing),HW(Holt Winter)is proposed and applied on the *** analysis is conducted on the collected dataset of conjunctivitis disease,and further compared for different performance *** result shows that the RMSE(Root Mean Square Error),MAE(Mean Absolute Error),MAPE(Mean Absolute Percentage Error),ACF1(Auto Correlation Function)of the proposed ensemble is decreased *** the RMSE,for instance,error values are reduced by 39.23%,9.13%,20.42%,and 17.13%in comparison to Auto-ARIMA,NAR,ETS,and HW model *** research concludes that the accuracy of the forecasting of diseases can be significantly increased by applying the proposed stack generalization ensemble model as it minimizes the prediction error and hence provides better prediction trends as compared to Auto-ARIMA,NAR,ETS,and HW model applied discretely.

关键词： Disease prediction stack ensemble neural network autoregression exponential smoothing auto-ARIMA holt winter

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Ascorbic acid ameliorates isoniazid-rifampicin-induced hepatocellular damage in rats

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iLIVER 2022年第1期1卷 72-77页

作者： Shubham Patel aman Chaturvedi Nazneen Dubey Abhishek Shrivastava Aditya Ganeshpurkar Shri Ram Institute of Technology-Pharmacy JabalpurIndia

Background:Phyto-constituents are widely recognized for hepatoprotective *** acid is extensively studied for the radical scavenging *** objective of the present study was to evaluate the hepatoprotective effect of ascorbic acid against isoniazid and rifampicin-induced liver damage in ***:Wistar rats were used in the present ***-cellular damage was produced by the administration of isoniazid(100 mg/kg)and rifampicin(100 mg/kg)for 21 *** acid was administered in the dose of 50,100,and 200 mg/kg body *** the end of the study,blood was collected and biochemical studies were performed to determine antioxidant ***:Ascorbic acid administration(50,100,and 200 mg/kg body weight)caused restoration of serum glutamic oxaloacetic transaminase,serum glutamic-pyruvic transaminase,and serum alkaline *** level of superoxide dismutase and catalase were also restored due to the administration of ascorbic *** was a decrement in the expression of tumor necrosis factor-α,interleukin-1β,interleukin-6,malondialdehyde and nitric ***:The outcome of the study established ascorbic acid as a notable hepatoprotective *** radical scavenging and cytokine suppression effect is the possible mechanism associated with the hepatoprotective effect of ascorbic acid.

关键词： Liver Toxicity Antitubercular Peroxidation Cytokines Ascorbic acid

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