Multi-Sensor Image Classification Using the Random Forest Algorithm in Google Earth Engine with KOMPSAT-3/5 and CAS500-1 Images by Jeonghee Lee, Kwangseob Kim, Kiwon Lee

“…The land-use and land-cover (LULC) classification was performed using the random forest (RF) algorithm provided by GEE. The study experimented with 10 cases of various combinations of input data, integrating Sentinel-1/-2 imagery and high-resolution imagery from external sources not provided by GEE and those normalized difference vegetation index (NDVI) data. …”
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A Hybrid K-Means++ and Particle Swarm Optimization Approach for Enhanced Document Clustering by Eisha Hassan, Fazila Malik, Qazi Waqas Khan, Nadeem Ahmad, Muhammad Sardaraz, Faten Khalid Karim, Hela Elmannai

“…Document Clustering has attracted the interest of many researchers who have created several solutions to this problem by combining different techniques, models, and algorithms. While famous for its simplicity, the most commonly used algorithm, K-Means, suffers from issues such as finding the optimal value for k and random initialization of the centroids. …”
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Performance of artificial intelligence on cervical vertebral maturation assessment: a systematic review and meta-analysis by Termeh Sarrafan Sadeghi, Seyed AmirHossein Ourang, Fatemeh Sohrabniya, Soroush Sadr, Parnian Shobeiri, Saeed Reza Motamedian

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Using data mining techniques to improve inflation rate management by Fatemeh Zahra Abedi Samakoosh, Soheila Karbasi

“…The present study deals with the identification of bottleneck commodities in the chain of basic commodities in the country. In order to obtain different variables and the impact of different product groups on inflation, 12 basic groups, which are the main products that make up the Consumer Price Index (CPI), were analyzed and evaluated during the years 2017 to 2021.the present study identifies bottleneck commodities which pricing them are more important in the control of inflation rate. …”
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Providing QoS and Resiliency for Video Streaming Over MPTCP by Shadi Bikas, Muge Sayit

“…The aim is to evaluate the performance of the proposed approach by focusing on user groups belonging to different service classes, each with varying QoE requirements. …”
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Detect and Calculate the Speed of Moving Objects Using R-CNN Technique by Batool R. Abd, Heba Khudhair Abbas

“…      Artificial intelligence (AI) algorithms depend on different algorithms to track moving objects. …”
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Telemedicine data secure sharing scheme based on heterogeneous federated learning by Nansen Wang, Jianing Zhang, Ju Huang, Wei Ou, Wenbao Han, Qionglu Zhang

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Multi-Objective Optimization of Urban Air Transportation Networks Under Social Considerations by Nikolas Hohmann, Sebastian Brulin, Jurgen Adamy, Markus Olhofer

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Quantitative evaluation of metal artifact reduction in CBCT under varying exposure modes and rod orientations by Gyu-Dong Jo, Chul-Wan Park, Kug Jin Jeon, Sang-Sun Han

“…These results confirm the consistent effectiveness of the MAR algorithm across different acquisition settings. The proposed standardized evaluation method provides a reproducible framework for objectively assessing MAR performance and supporting its clinical integration.…”
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Self-adaptive prediction and prewarning model of mine gas concentration by Dingwen Dong

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Geo-Blockchain Verification Based on Proof of Secret Sharing Modification via Chialvo Map by Shareef Sarah Mohammed, Hassan Rehab Flaih

“…The proposed system was evaluated through different metrics like latency time of encryption and decryption of MSLIMC algorithm, Geo-Blockchain built time, and using a set of tests and general rules provided by the National Institute of Standards and Technology (NIST), which tests approximately 97% of the generated random data to ensure that it is sufficiently unpredictable and suitable for cryptographic applications.…”
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Research on the Key Issues of Big Data Quality Management, Evaluation, and Testing for Automotive Application Scenarios by Yingzi Wang, Ce Yu, Jue Hou, Yongjia Zhang, Xiangyi Fang, Shuyue Wu

“…Through this data quality management model and detection and repair interfaces, users can quickly build custom data quality detection and repair tasks for different data quality requirements. To improve the operational efficiency of complex data quality management algorithms in large-scale data scenarios, corresponding parallelization algorithms are studied and implemented for detection and repair algorithms with long computation time, including priority-based multiconditional function-dependent detection and repair algorithms, entity detection, and extraction algorithms based on semantic information and chunking techniques, and plain Bayesian-based missing value filling algorithms, and this paper proposes a data validity evaluation algorithm and enhances the validity of the original data in practical applications by adding temporal weights, and finally it passed the experimental validation. …”
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CHILES. IX. Observational and Simulated H i Content and Star Formation of Blue Galaxies in Different Cosmic Web Environments by Nicholas M. Luber, Farhanul Hasan, J. H. van Gorkom, D. J. Pisano, Joseph N. Burchett, Julia Blue Bird, Hansung B. Gim, Kelley M. Hess, Lucas R. Hunt, David C. Koo, Sushma Kurapati, Danielle Lucero, Nir Mandelker, Martin Meyer, Emmanuel Momjian, Daisuke Nagai, Joel R. Primack, Min S. Yun

“…Using the COSMOS H i Large Extragalactic Survey (CHILES) and the IllustrisTNG (TNG100) cosmological simulation, and the DisPerSE algorithm, we identify the filamentary structure in both observations and simulations, measure the distance of galaxies to the nearest filament spine D _fil , and calculate the mean H i gas fraction and the relative specific star formation rate (sSFR) of blue galaxies in three different cosmic web environments—0 <  D _fil /Mpc < 2 (filament cores), 2 <  D _fil /Mpc < 4 (filament outskirts), and 4 <  D _fil /Mpc < 20 (voids). …”
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AquaCrop Plug-in-PSO: A novel irrigation scheduling optimization framework for maize to maximize crop water productivity using in-season weather forecast and crop yield estimation by Mahdi Gholami Sharafkhane, Ali Naghi Ziaei, Seyed Mohammadreza Naghedifar, Amir Akbari, Amir Verdi

“…Additionally, AquaCrop plug-in-PSO was used to evaluate the algorithm’s performance with historical weather data. …”
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Validation of three models (Tolcher, Levine, and Burke) for predicting term cesarean section in Chinese population by Fangcan Sun, Minhong Shen, Bing Han, Youguo Chen, Fangfang Wu

“…A predicted probability for CS was calculated for women in the dataset by the algorithm of each model. The performance of the model was evaluated for discrimination. …”
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Imaging-based machine learning to evaluate the severity of ischemic stroke in the middle cerebral artery territory by Gang Xie, Jin Gao, Jian Liu, Xuwei Zhou, Zhengkai Zhao, Wuli Tang, Yue Zhang, Lingfeng Zhang, Kang Li

“…Subsequently, an optimal machine learning algorithm was determined by comparing seven different algorithms. …”
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Overall survival in colon cancer patients with different levels of circulating tumor cells and feasibility of enhancing its prognostic value by O. I. Kit, E. Y. Zlatnik, I. A. Novikova, E. P. Ulianova, A. A. Demidova, E. N. Kolesnikov, Yu. A. Gevorkyan, N. V. Soldatkina, A. V. Snezhko

“…OS was studied in patients with different CTC levels, cumulative OS was calculated by Kaplan–Meier`s method. prognostic algorithm was designed by logistic regression analysis and cox proportional hazards model. …”
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Dose-Weighted Network Pharmacology: Evaluating Traditional Chinese Medicine Formulations for Lumbar Disc Herniation by Zhou C, Xiang T, Yu Y, Ma H, Liu C, Yang F, Yang L

“…This study introduces dose-weighted network pharmacology, a novel approach that incorporates drug dosage as a quantitative factor into network analysis to evaluate better and compare the therapeutic potential of TCM formulations.Methods: This study combines drug dosage with the PPI network to propose a theoretical algorithm for comparing the therapeutic efficacy of different traditional Chinese medicine formulations. …”
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How can we predict transportation stock prices using artificial intelligence? Findings from experiments with Long Short-Term Memory based algorithms by Dinar Ajeng Kristiyanti, Willibrordus Bayu Nova Pramudya, Samuel Ady Sanjaya

“…The research primarily aims to forecast stock prices in Indonesia's transportation sector, utilizing data mining techniques within the Cross Industry Standard Process for Data Mining (CRISP-DM) framework, which includes stages such as business understanding, data preparation, modeling, evaluation, and deployment. It employs the Long Short-Term Memory (LSTM) algorithm, assessing different hyperparameter activation functions (linear, ReLU, sigmoid, tanh) and optimizers (ADAM, ADAGRAD, NADAM, RMSPROP, ADADELTA, SGD, ADAMAX) to refine prediction accuracy. …”
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Seismic assessment of cylindrical storage tanks to records with different frequency contents considering fluid–structure–soil/foundation interaction by Ayman Abd-Elhamed, Sayed Mahmoud

“…This study aims to primarily assess the dynamic behavior of ground-supported cylindrical tanks to real near-fault earthquake records with different frequency contents including soil-structure interaction effects. …”
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