Maximizing oil recovery in sandstone reservoirs through optimized ASP injection using the super learner algorithm by Dike Fitriansyah Putra, Mohd Zaidi Jaafar, Ku Muhd Na’im Khalif, Apri Siswanto, Ichsan Lukman, Ahmad Kurniawan

“…This study introduces a novel application of the Super Learner (SL) ensemble, a stacking-based machine learning algorithm integrating multiple base models (XGBoost, SVR, BRR, and Decision Tree), to systematically predict and optimize ASP injection parameters. …”
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DOA Estimation by Feature Extraction Based on Parallel Deep Neural Networks and MRMR Feature Selection Algorithm by Ashwaq Neaman Hassan Al-Tameemi, Mahmood Mohassel Feghhi, Behzad Mozaffari Tazehkand

“…Then, a minimum redundancy and maximum relevance (MRMR) algorithm is proposed to select the distinct features. …”
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Novel Hybrid Feature Selection Using Binary Portia Spider Optimization Algorithm and Fast mRMR by Bibhuprasad Sahu, Amrutanshu Panigrahi, Abhilash Pati, Manmath Nath Das, Prince Jain, Ghanashyam Sahoo, Haipeng Liu

“…<b>Methods:</b> This research presents an innovative cancer classification technique that combines fast minimum redundancy-maximum relevance-based feature selection with Binary Portia Spider Optimization Algorithm to optimize features. …”
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Improving the Efficiency of Screen Type Potato Sorting Machines by a Modification of the Sieve Drive Movement Algorithm by A. G. Ivanov, M. N. Erokhin, S. P. Kazantsev, P. V. Dorodov, I. I. Khuzyakhmetov, I. T. Khakimov

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Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare by Kamini Lamba, Shalli Rani, Mohammad Shabaz

“…To address the need for interpretability, multiple XAI techniques—Grad-CAM, Integrated Gradients (IG), and Layer-wise Relevance Propagation (LRP) have been incorporated. …”
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An Improved Random Forest Approach on GAN-Based Dataset Augmentation for Fog Observation by Yucan Cao, Panpan Zhao, Balin Xu, Jingshu Liang

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An Intelligent 5G Unmanned Aerial Vehicle Path Optimization Algorithm for Offshore Wind Farm Inspection by Congxiao Jiang, Lingang Yang, Yuqing Gao, Jie Zhao, Wenne Hou, Fangmin Xu

“…We propose a novel Sea Wind-Aware Improved A*-Guided Genetic Algorithm (SWA-IAGA), which integrates an improved A* algorithm to guide the genetic algorithm for efficient path planning, with the assistance of relevant graphical knowledge. …”
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Analysis of diagnostic genes and molecular mechanisms of Crohn’s disease and colon cancer based on machine learning algorithms by Jie Xiao, Junyao Liang, Tao Zhou, Man Zhou, Dexu Zhang, Hui Feng, Chusen Tang, Qian Zhou, Weiqing Yang, Xiaoqin Tan, Wanjia Zhang, Yin Xu

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Prediction of stunting and its socioeconomic determinants among adolescent girls in Ethiopia using machine learning algorithms. by Alemu Birara Zemariam, Biruk Beletew Abate, Addis Wondmagegn Alamaw, Eyob Shitie Lake, Gizachew Yilak, Mulat Ayele, Befkad Derese Tilahun, Habtamu Setegn Ngusie

“…<h4>Conclusion</h4>The random forest classifier outperformed in predicting and identifying the relevant predictors of stunting. Results have shown that machine learning algorithms can accurately predict stunting, making them potentially valuable as decision-support tools for the relevant stakeholders and giving emphasis for the identified predictors could be an important intervention to halt stunting among adolescent girls.…”
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Theoretical Aspects of Thin Film Optical Spectra: Underlying Models, Model Restrictions and Inadequacies, Algorithms, and Challenges by Olaf Stenzel, Steffen Wilbrandt

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Predicting Metabolite-Disease Associations Based on Linear Neighborhood Similarity with Improved Bipartite Network Projection Algorithm by Xiujuan Lei, Cheng Zhang

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Implementation of the Long Short-Term Memory Algorithm in a Chatbot for Dengue Fever Information and Education Services by Heru Budianto, Fahmi Yusuf, Dede Irawan, Muhamad Akhirul Sidik, Aiena Nurhasanah, Sabrina Mauldya, Silmi Nur Afifah

“…This study developed a chatbot integrating the Long Short-Term Memory (LSTM) algorithm to answer various questions about dengue fever, including its symptoms, prevention, and treatment. …”
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Improving heterologous membrane protein production in Escherichia coli by combining transcriptional tuning and codon usage algorithms. by Nico J Claassens, Melvin F Siliakus, Sebastiaan K Spaans, Sjoerd C A Creutzburg, Bart Nijsse, Peter J Schaap, Tessa E F Quax, John van der Oost

“…High-level, recombinant production of membrane-integrated proteins in Escherichia coli is extremely relevant for many purposes, but has also been proven challenging. …”
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Hybrid Beamforming Grouping Sum-Rate Maximization Algorithm for Multiuser mmWave Massive MIMO Systems by Jian Liu, Xuan Yang, Qianfang Sun, Renmin Zhang, Yingjing Qian

“…The algorithm first predefines a relevant threshold value, which is used to group multiusers; then, the user uses the maximum likelihood (ML) criterion to identify the optimal beam and estimate its beamforming gain within each group, and finally, the user compares all the candidate optimal beam gains between each group to confirm the optimal beamforming vector. …”
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The Design of a Script Identification Algorithm and Its Application in Constructing a Text Language Identification Dataset by Mamtimin Qasim, Wushour Silamu, Minghui Qiu

“…The fewer languages are identified when using a language identification algorithm, the higher the identification rate is. However, no systematic study on SI involving multiple languages and determining how to construct relevant language identification datasets has been conducted. …”
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Tuning of Kalman Filter Parameters via Genetic Algorithm for State-of-Charge Estimation in Battery Management System by T. O. Ting, Ka Lok Man, Eng Gee Lim, Mark Leach

“…This is the motivation for the application of a metaheuristic algorithm. Hence, the result is further improved by applying a genetic algorithm (GA) to tune Q and R parameters of the KF. …”
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Primary Frequency Regulation Modeling of Deep Peak Regulation Unit Based on Improved Group Optimization Algorithm by Guoqiang YU, Xiaobo CUI, Yiyue SHI, Keyi TANG, Tianhai ZHANG

“…Then the unknown parameter values in the model are derived by using an improved group optimization algorithm with better global search capability. Steady state values are incorporated into the identification parameters in order to eliminate modeling error which was introduced from manually selected steady state values. …”
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Registration of the Cone Beam CT and Blue-Ray Scanned Dental Model Based on the Improved ICP Algorithm by Xue Mei, Zhenhua Li, Songsong Xu, Xiaoyan Guo

“…The proposed algorithm includes two major phases, coarse and precise registration. …”
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A Penalized h-Likelihood Variable Selection Algorithm for Generalized Linear Regression Models with Random Effects by Yanxi Xie, Yuewen Li, Zhijie Xia, Ruixia Yan, Dongqing Luan

“…Furthermore, it demonstrates good performance in relevant-variable selection. Throughout theoretical analysis and simulations, it is confirmed that the penalized h-likelihood algorithm produces good fixed effect estimation results and can identify zero regression coefficients in modeling the mean structure.…”
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An efficient and high-performance WSNs restoration algorithm for fault nodes based on FT in data aggregation scheduling by Cheng Li, Guoyin Zhang

“…And our goal is to improve the universality, efficiency, and performance retention of the algorithm. Previously, we have conducted a range of the relevant researches on performance improvement of WSNs aggregation scheduling by adopting FT structure, and some successful results have been obtained. …”
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