Finite Element Modeling of the behavior of Hybrid-Fiber Reinforced Concrete under Triaxial Compression by Ali Naserifar

“…However, the behavior of fiber reinforced concrete has been studied frequently but a numerical model that can predict the behavior of fiber reinforced concrete well is under research. In this research, the integration algorithm of the structural equations and the implementation of the William-Warnke behavioral model for fiber reinforced concrete are presented. …”
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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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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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The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review by Ashwaq F. Asiri, Ahmed Sulaiman Altuwalah

“…Methods: The present research question focused on the literature search about different AI algorithms and models of AI assisted endodontic diagnosis and treatment planning. …”
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A comprehensive review of sensor node deployment strategies for maximized coverage and energy efficiency in wireless sensor networks by Anusuya P., Vanitha C. N., Jaehyuk Cho, Sathishkumar Veerappampalayam Easwaramoorthy

“…The review analyses recent algorithms for WSN deployment, evaluates their performance, and provides a comprehensive comparative analysis, offering directions for future research and making a unique contribution to the literature.…”
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Reframing the filter bubble through diverse scale effects in online music consumption by Dougal Shakespeare, Victor Chareyron, Camille Roth

“…In recent years, methods to concretely appraise this debate have taken a comparative turn, with emerging research strands seeking to assess the influence of algorithmic recommendations relative to users’ organic behaviour (i.e. those with a relative lack of algorithmic influence). …”
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Recording artist career comparison through audio content analysis by Nick Collins

“…Statistical measures of variation over time, and the diversity of their recorded output, are used to answer research questions on their studio career and the originality of their work. …”
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Utilization of Machine Learning for Predicting Corrosion Inhibition by Quinoxaline Compounds by Muhamad Fadil, Muhamad Akrom, Wise Herowati

“…This study explores the application of Machine Learning (ML) methods based on Quantitative Structure-Properties Relationship (QSPR) to develop a predictive model for the efficiency of quinoxaline compounds as corrosion inhibitors. By conducting a comparative analysis among three algorithms: AdaBoost Regressor (ADB), Gradient Boosting Regressor (GBR), and Extreme Gradient Boosting Regressor (XGBR), and optimizing parameters through hyperparameter tuning using Grid Search and Random Search, this research demonstrates that the XGBR model yields the most superior prediction results. …”
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Advancing Breast Cancer Diagnosis: A Comprehensive Machine Learning Approach for Predicting Malignant and Benign Cases with Precision and Insight in a Neutrosophic Environment usin... by Nihar Ranjan Panda, R. Rajalakshmi, Surapati Pramanik, Mana Donganont, Prasanta Kumar Raut

“…Four top machine learning algorithms are trained and evaluated with a series of performance measures such as accuracy, positive predictive value (PPV), negative predictive value (NPV), F1-score, etc. …”
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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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Combination of Transformed-means Clustering and Neural Networks for Short-Term Solar Radiation Forecasting by M. Ghayekhloo, M. B. Menhaj

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TET2 gene mutation status associated with poor prognosis of transition zone prostate cancer: a retrospective cohort study based on whole exome sequencing and machine learning model... by Yutong Wang, Yutong Wang, Yutong Wang, Yutong Wang, Yutong Wang, Ailing Yu, Ailing Yu, Ailing Yu, Ailing Yu, Ailing Yu, Ziping Gao, Ziping Gao, Ziping Gao, Ziping Gao, Xiaoying Yuan, Xiaochen Du, Peng Shi, Haoyun Guan, Shuang Wen, Honglong Wang, Liang Wang, Liang Wang, Liang Wang, Liang Wang, Bo Fan, Bo Fan, Bo Fan, Bo Fan, Zhiyu Liu, Zhiyu Liu, Zhiyu Liu, Zhiyu Liu

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Artificial intelligence (machine learning) in the psychology of learning: Unveiling new insights and directions by Nora Darjazini, Mohammad Hossein Zarghami, Reza Ghorban Jahromi, Leila Shobeiry

“…Aims: In this research, we used supervised machine learning techniques in order to discover the most important syntactic and lexical features affecting the reading comprehension of English language learners. …”
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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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PERBANDINGAN KERNEL SUPPORT VECTOR MACHINE (SVM) DALAM PENERAPAN ANALISIS SENTIMEN VAKSINISASI COVID-19 by Thalita Meisya Permata Aulia, Nur Arifin, Rini Mayasari

“…For this reason, a sentiment analysis of the COVID-19 vaccine will be carried out by taking data from Twitter, then classified using the Support Vector Machine algorithm. The research data is nonlinear data so it requires a kernel space for the text mining process, while there has been no specific research regarding which kernel is good for sentiment analysis, so a test will be carried out to find the best kernel among linear, sigmoid, polynomial, and RBF kernels. …”
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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

“…A decision-making algorithm has been developed on the basis of conducting an ultrasound SA examination using abbreviated protocols.Conclusion. …”
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Leader election of dynamic wireless intelligent control machine in sensor network distributed processing by Eko Sediyono, Ferry Wahyu Wibowo, Hindriyanto Dwi Purnomo

“…Strategies to streamline energy resources in wireless sensor networks (WSN) are still a hot topic. Many researchers have proposed various models of the WSN protocol so that the base station (BS)/sink can receive data collected from each sensor node. …”
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A Novel Transformer-Based Approach for Reliability Evaluation of Composite Systems With Renewables and Plug-in Hybrid Electric Vehicles by Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena, Veeranki Srinivasa Rao

“…To address these issues, this research presents an advanced mixed-integer linear programming (MILP)-based algorithm for optimizing EV charging. …”
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Optimization Strategy of Building Energy System Based on Deep Reinforcement Learning by Wenzhe SHI, Bingjie LI, Peipei YOU, Ling ZHANG

“…Firstly, a supply-demand side research framework for the energy system and device model is built. …”
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Optimization of connection patterns between mobile phones and base stations using quantum annealing by Taisei Takabayashi, Shoichi Sudo, Toshihiro Aoki, Shun Seo, Masayuki Ohzeki

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