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Cyberbullying Sexism Harassment Identification by Metaheurustics-Tuned eXtreme Gradient Boosting

Computers, Materials & Continua 2024年第9期80卷 4997-5027页

作者： milos Dobrojevic Luka Jovanovic Lepa Babic Miroslav Cajic Tamara Zivkovic Miodrag Zivkovic Suresh Muthusamy milos antonijevic Nebojsa Bacanin Technical Faculty Singidunum UniversityBelgrade11000Serbia Informatics and Computing Singidunum UniversityBelgrade11000Serbia Business Economics Singidunum UniversityBelgrade11000Serbia Computing and Informatics Sinergija UniversityBijeljina76300Bosnia and Herzegovina Department for Information Systems and Technologies University“Union Nikola Tesla”Cara DusanaBelgrade11080Serbia Department for Computer Science and Informatics School of Electrical EngineeringUniversity of BelgradeBelgrade11000Serbia Department of Electrical and Electronics Engineering Kongu Engineering College(Autonomous)PerunduraiErode638060India Department of Mathematics Saveetha School of Engineering(Deemed to be University)SIMATS ThandalamChennai602105India MEU Research Unit Middle East UniversityAmman11831Jordan

Cyberbullying is a form of harassment or bullying that takes place online or through digital devices like smartphones,computers,or *** can occur through various channels,such as social media,text messages,online forums,or gaming *** involves using technology to intentionally harm,harass,or intimidate others and may take different forms,including exclusion,doxing,impersonation,harassment,and ***,due to the rapid growth of malicious internet users,this social phenomenon is becoming more frequent,and there is a huge need to address this ***,the main goal of the research proposed in this manuscript is to tackle this emerging challenge.A dataset of sexist harassment on Twitter,containing tweets about the harassment of people on a sexual basis,for natural language processing(NLP),is used for this *** algorithms are used to transform the text into a meaningful representation of numbers for machine learning(ML)input:Term frequency inverse document frequency(TF-IDF)and Bidirectional encoder representations from transformers(BERT).The well-known eXtreme gradient boosting(XGBoost)ML model is employed to classify whether certain tweets fall into the category of sexual-based harassment or ***,with the goal of reaching better performance,several XGBoost models were devised conducting hyperparameter tuning by *** this purpose,the recently emerging Coyote optimization algorithm(COA)was modified and adjusted to optimize the XGBoost ***,other cutting-edge metaheuristics approach for this challenge were also implemented,and rigid comparative analysis of the captured classification metrics(accuracy,Cohen kappa score,precision,recall,and F1-score)was ***,the best-generated model was interpreted by Shapley additive explanations(SHAP),and useful insights were gained about the behavioral patterns of people who perform social harassment.

关键词： Coyote optimization algorithm NLP TF-IDF BERT XGBoost online harassment and cyberbullying metaheuristics

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COVID-19 Severity Prediction Using Enhanced Whale with Salp Swarm Feature Classification

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Computers, Materials & Continua 2022年第7期72卷 1685-1698页

作者： Nebojsa Budimirovic E.Prabhu milos antonijevic Miodrag Zivkovic Nebojsa Bacanin Ivana Strumberger K.Venkatachalam Singidunum University Belgrade11000Serbia Department of Electronics and Communication Engineering Amrita School of EngineeringAmrita Vishwa VidyapeethamCoimbatore641112India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic

Computerized tomography(CT)scans and X-rays play an important role in the diagnosis of COVID-19 and *** the basis of the image analysis results of chest CT and X-rays,the severity of lung infection is monitored using a *** researchers have done in diagnosis of lung infection in an accurate and efficient takes lot of time and *** overcome these issues,our proposed study implements four cascaded ***,for pre-processing,a mean filter is ***,texture feature extraction uses principal component analysis(PCA).Third,a modified whale optimization algorithm is used(MWOA)for a feature selection *** severity of lung infection is detected on the basis of age ***,image classification is done by using the proposed MWOAwith the salp swarm algorithm(MWOA-SSA).MWOA-SSA has an accuracy of 97%,whereas PCA and MWOA have accuracies of 81%and 86%.The sensitivity rate of the MWOA-SSA algorithm is better that of than PCA(84.4%)and MWOA(95.2%).MWOA-SSA outperforms other algorithms with a specificity of 97.8%.This proposed method improves the effective classification of lung affected images from large datasets.

关键词： PCA WOA CT-image lung infection COVID-19

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Hybrid GLFIL Enhancement and Encoder Animal Migration Classification for Breast Cancer Detection

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Computer Systems Science & Engineering 2022年第5期41卷 735-749页

作者： S.Prakash M.Vinoth Kumar R.Saravana Ram Miodrag Zivkovic Nebojsa Bacanin milos antonijevic Department of Computer Science and Engineering Sri Shakthi Institute of Engineering and TechnologyCoimbatore641062India Department of Computer Science and Engineering Anna UniversityUniversity College of Engineering DindigulDindigul624622India Department of Electronics and Communication Engineering Anna UniversityUniversity College of Engineering Dindigul624622India Singidunum University Belgrade11000Serbia

Breast cancer has become the second leading cause of death among women *** India,a woman is diagnosed with breast cancer every four *** has been no known basis behind it,and detection is extremely challenging among medical scientists and researchers due to unknown *** India,the ratio of women being identified with breast cancer in urban areas is 22:*** for this disease are micro calcification,lumps,and masses in mammogram *** sources are mostly used for early *** mammography is used for breast cancer *** this study,we introduce a new hybrid wavelet filter for accurate image *** main objective of enhancement is to produce quality images for detecting cancer sections in *** enhancement is the main step where the quality of the input image is improved to detect cancer *** this study,we use a combination of two filters,namely,Gabor and *** edges are detected using the Canny detector to smoothen the ***-quality enhanced image is obtained through the Gabor-Legendre filter(GLFIL)*** image is used by classification *** migration optimization with neural network is implemented for classifying the *** output is compared to existing filter ***,the accuracy achieved by the proposed technique is 98%,which is higher than existing algorithms.

关键词： Breast cancer Gabor filter Legendre filter GLFIL algorithm animal migration optimization neural networks

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Determining Motoric Abilities of Perspective Judokas

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Journal of Sports Science 2019年第4期7卷 99-105页

作者： Dragan Popovic milos Popovic Jasna Popovic Evagelia Boli Vladimir Savic Ivana Arsic Sonja antonijevic Faculty of Sport and Physical Education University of PristinaLeposavic 38218Serbia

The research was conducted on a sample of 237 perspective judokas with the objective of checking the efficiency of the factor analysis as an optimal method of establishing of the real structure of motor *** order to assess motor abilities 20 motor tests have been applied,which have been selected so that analysis could be done on the basis of second order *** the data in this study were processed at the Multidisciplinary Research Center,Faculty of Sport and Physical Education,University of Pristina through the system of data processing software *** structure analysis of motor dimensions indicates that three factors were obtained:the first factor is responsible for movement structuring,the second factor is for the excitation intensity regulation and the third is responsible for the excitation duration.

关键词： Factor analysis judokas method structure motor abilities reliability

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