Image Compression Based on Clustering Fuzzy Neural Network by Shahba Khaleel, Jamal Majeed, Bayda Khaleel

“…This has driven the research area of image compression to develop algorithm that compress images to lower data rates with better quality. …”
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IMPLEMENTASI METODE RANDOM FOREST DALAM MEMPREDIKSI SINYAL PERGERAKAN SAHAM by MOCH. ANJAS APRIHARTHA, M. HUSNIYADI, TAUFIK NUR ALAM

“…The objective of this research is to obtain the best model for predicting stock price movements. …”
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Methodological aspects of statistical analysis in ophthalmology by A. S. Sorokin, S. Yu. Petrov, N. V. Zvezdina, M. A. Golovanova

“…An overview of statistical techniques and an algorithm of choosing such techniques is given. Descriptive statistics and features of in-depth statistical analysis used in ophthalmological research are presented. …”
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TEORÍA DE INVENTARIOS APLICACIÓN DE LA TEORIA DE INVENTARIOS EN LA EMPRESA KJANTU COLLECTION S.A.C. by Jean Paul Santiago Tumialán

“…The present research work shows an application of a mathematical algorithm based on a linear programming model, withwhich a solution is given to the raw material inventory management problem presented by the company «Kjantu Collection»in its warehouses, in the It is not known how much should be invested in a given period or how much the total merchandiseis valued. …”
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Prediction for Tunnelling-Induced Ground Settlement in Multilayered Soils: An Improved Gradient Boosting Approach by Hongbin An, Yangyang Chen, Jingjie Lei, Hanbin Luo, Elton J. Chen

“…However, the existing theories and models are difficult to comprehensively consider the interaction of these factors, and it is difficult to accurately predict the response of the formation to solve the above problems. The research is based on the machine learning algorithm to establish a prediction model of stratum settlement caused by shield tunneling, which provides a new idea for real time prediction of the ground response caused by shield tunneling and risk reduction. …”
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Imbalanced class distribution and performance evaluation metrics: A systematic review of prediction accuracy for determining model performance in healthcare systems. by Michael Owusu-Adjei, James Ben Hayfron-Acquah, Twum Frimpong, Gaddafi Abdul-Salaam

“…Focus on predictive algorithm and its performance evaluation is extensively covered in most research studies to determine best or appropriate predictive model with Optimum prediction solution indicated by prediction accuracy score, precision, recall, f1score etc. …”
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Construction and Application of Media Corpus Based on Big Data by Bochun Yin, Lei Fu

“…Aiming at the problems of poor data quality and low application rate in the construction of existing media corpus, this paper proposes the construction and application research of media corpus based on big data. Media corpus data are collected, the data are divided into four categories, the heuristic data item column sorting algorithm is introduced to sort all collection processes, the minimum value of data item collection rate is determined, on this basis, the maximum value of quantity in media corpus is determined, and data collection is realized in media corpus data through sliding window. …”
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Towards Predicting Business Activity Classes from European Digital Corporate Reports by Péter Molnár, Alex Suta, Bence Lukács, Árpád Tóth

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Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

“…In this research, a comparison was made of the performance of the PSO-based K-NN and C4.5 algorithms. …”
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APPLICATION OF MODIFIED UNSCENTED KALMAN FILTER AND UNSCENTED PARTICLE FILTER TO SOLVING TRACKING PROBLEMS by I. A. Kudryavtseva, M. V. Lebedev

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Complex analysis and mathematical modeling of the internal exposure dose of the Ukrainian Polissya rural population by H. Chobotko, L. Raichuk, A. Cherniavskyi, N. Liubashenko, I. McDonald

“…The aim of this research is to determine the socio-economic and environmental factors that influence the formation of the internal exposure dose of the rural population of the radioactively contaminated territory of the Ukrainian Polissya. …”
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Examining Deep Learning Techniques for Ethical Artificial Intelligence: Cleansing Malicious Comments from Users by Ji Woong Yoo, Kyoung Jun Lee, Arum Park

“…This study adds to the existing research by showing how advanced deep learning techniques can effectively identify and classify harmful comments by analyzing complex language patterns.…”
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Web Spider Defense Technique in Wireless Sensor Networks by Alejandro Canovas, Jaime Lloret, Elsa Macias, Alvaro Suarez

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Predicting electromagnetically induced transparency based cold atomic engines using deep learning by Manash Jyoti Sarmah, Himangshu Prabal Goswami

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Unite and conquer approach for data clustering based on particle swarm optimization and moth flame optimization by E. Mosavi, S.A. Shahzadeh Fazeli, E. Abbasi, F. Kaveh-Yazdy

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Guidelines for radioiodine therapy in differentiated thyroid cancer and post-therapeutic follow-up by A. Yu. Shurinov, E. V. Borodavina, V. V. Krylov, M. A. Sigov, A. A. Rodichev, S. A. Ivanov, A. D. Kaprin

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A rapid fingerprint positioning method based on deep convolutional neural network for MIMO-OFDM systems by Chenlin He, Xiaojun Wang, Jiyu Jiao, Yuhua Huang, Chengpei Han, Yizhuo Zhang, Jianping Zhu

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Diagnosis and Treatment of Chest Injury and Emergency Diseases of Chest Organs by A. M. Khadjibaev, R. O. Rakhmanov, R. K. Sultanov, V. Kh. Sharipova

“…Goal of research: to evaluate efficiency of videothoracoscopy in diagnosis and treatment of patients with injuries and emergency diseases ща chest organs.Material and methods: Study wasbased on treatment results analysis of 2111 patients with injuries and chest organs emergency diseases, who were treated at Republican Research Centre of Emergency Medicine in 2001-2014. …”
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Abbreviated protocol for ultrasound duplex scanning of the carotid arteries in the evaluation of preclinical atherosclerosis in order to clarify cardiovascular risk by T. V. Balakhonova, O. A. Pogorelova, M. I. Tripoten, A. I. Ershova, M. V. Koshurnikova, А. N. Rogoza

“…Ultrasound CA examination was carried out in the department of ultrasound studying methods in National Medical Research Center of Cardiology. Forty three patients aged 32 to 81 years (mean 56±13 years) who are hospitalized in A. …”
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Massive Scenario Reduction Based Distribution-Level Power System Planning Considering the Coordination of Source, Network, Load and Storage by Jinsen LIU, Ning LUO, Jie WANG, Chang XU, Yi Cao, Zhiwen Liu

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