Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…In this paper, we propose a framework that uses data-level approximate computing techniques, including by diverse sampling strategies, precision scaling, quantization, and feature selection methods, to evaluate the impact of these techniques on the computational efficiency and accuracy of KNN and SVM models. …”
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Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…On the other hand, MIBM is advantageous in scenarios where computational efficiency and robustness are prioritized. To support method selection, we also analyze the computational complexity of both approaches and derive error bounds. …”
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Prioritized aggregation operators for Schweizer-Sklar multi-attribute decision-making for complex spherical fuzzy information in mobile e-tourism applications by Khawlah Alhulwah, Muhammad Azeem, Mehwish Sarfraz, Nasreen Almohanna, Ali Ahmad

“…We looked at a numerical example centered on efficient mobile e-tourism selection to show the effectiveness and viability of the recommended approaches. …”
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A lightweight Xray-YOLO-Mamba model for prohibited item detection in X-ray images using selective state space models by Kai Zhao, Shufan Peng, Yujin Li, Tianliang Lu

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Designing a Stock Recommender System Using the Collaborative Filtering Algorithm for the Tehran Stock Exchange by Marziyeh Nourahmadi, Ali Rahimi, Hojjatollah Sadeqi

“…Stock recommendation systems can assist investors in achieving superior returns by selecting the right stocks. However, traditional stock recommendation systems often lack the necessary accuracy and efficiency. …”
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Synergistic Removal of Cr(VI) Utilizing Oxalated-Modified Zero-Valent Iron: Enhanced Electron Selectivity and Dynamic Fe(II) Regeneration by Song Hou, Jiangkun Du, Haibo Ling, Sen Quan, Jianguo Bao, Chuan Yi

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TRI-POSE-Net: Adaptive 3D human pose estimation through selective kernel networks and self-supervision with trifocal tensors. by Nabeel Ahmed Khan, Aisha Ahmed Alarfaj, Ebtisam Abdullah Alabdulqader, Nuha Zamzami, Muhammad Umer, Nisreen Innab, Tai-Hoon Kim

“…The proposed technique, which is based on ResNet-50 and includes integrated Selective Kernel Network (SKNet) blocks, has proven to be efficient for feature extraction customised specifically to pose estimation scenarios. …”
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A novel two-stage feature selection method based on random forest and improved genetic algorithm for enhancing classification in machine learning by Junyao Ding, Jianchao Du, Hejie Wang, Song Xiao

“…This paper also adds an adaptive mechanism and evolution strategy to improve the loss of population diversity and degeneration in the later stages of iteration, thereby enhancing search efficiency. The experimental results on eight UCI datasets show that the proposed method significantly improves classification performance and has excellent feature selection capability.…”
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Min3GISG: A Synergistic Feature Selection Framework for Industrial Control System Security with the Integrating Genetic Algorithm and Filter Methods by Saiprasad Potharaju, Swapnali N. Tambe, G. Madhukar Rao, M. V. V. Prasad Kantipudi, Kalyan Devappa Bamane, Mininath Bendre

“…Compared to the full dataset (225 features), which yielded 97.51%, 99.93%, and 96.17%, respectively, our optimized feature subset maintained or enhanced classification performance while reducing computational complexity. This research demonstrates the effectiveness of a hybrid feature selection approach in improving ICS anomaly detection. …”
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A study of government regulation’s strategy for solving the algorithmic black-box puzzle of digital platforms: a complex network-based perspective by Gehui Zhu, Mingliang Tang, Xiao Jian, Tong Mu

“…Second, the simulation results government punishment intensity show that we can not only rely on a single regulatory means, but also need to take the composite strategy as far as possible, encouraging multiple bodies to participate in the regulation and collaborative governance to construct a fair and efficient digital transaction environment. Finally, the dynamic simulation results of sample size variation suggest that the government needs to adopt a variety of means to cooperate in forming an efficient and reasonable regulatory system to regulate digital platforms in accordance with the law, avoiding one-size-fits-all regulatory strategies.…”
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Mesoporous magnetic supported Cu complex for one-pot synthesis of 5-substituted 1H-tetrazoles in green media and the oxidation of sulfides by Somayeh Molaei, Mohammad Ghadermazi

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Enhancing Flavor Complexity in Craft Beer: Sequential Inoculation with Indigenous Non-<i>Saccharomyces</i> and Commercial <i>Saccharomyces</i> Yeasts by María Victoria Mestre Furlani, Mercedes Fabiana Vargas Perucca, Diego Bernardo Petrignani, Silvia Cristina Vergara, María José Leiva-Alaniz, Yolanda Paola Maturano, Fabio Vazquez, Eduardo Dellacassa

“…However, their lower fermentation efficiency and ethanol sensitivity limit their use. …”
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Design of a chiral molecular pocket in a Ni(II) complex to improve stereoselectivity in the kinetic resolution of racemic epoxides with CO2 by Mikhail A. Emelyanov, Alexander V. Bachinskiy, Yana V. Derkach, Vasiliy A. Chaliy, Alexander F. Smol'yakov, Michael G. Medvedev, Aleksei A. Titov, Victor I. Maleev, Vladimir A. Larionov

“…However, one is the main challenges in this direction is the absence of the universal and efficient chiral catalytic systems for the resolution of different epoxides by CO2 with a high selectivity factor (s). …”
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Correlation of Complex Impacted Mandibular Teeth with Pericoronitis and Effect of Minimally Invasive Tooth Extraction on Patients’ Long-term Outcome of Masticatory Ability by Tinghong Nie, Bojie Chang, Lili Tian, Shansong Cao, Junjie Wang, Haitao Qi, Lirong Gao

“…A total of 101 patients with complex impacted teeth who were treated in our hospital from March 2019 to June 2021 were selected and divided into the control group (n = 55) and the observation group (n = 46) according to the different treatment methods. …”
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Exploring early Acheulian technological decision-making: A controlled experimental approach to raw material selection for percussive artifacts in Melka Wakena, Ethiopia. by Eduardo Paixão, Tegenu Gossa, Walter Gneisinger, João Marreiros, Sören Tholen, Ivan Calandra, Erella Hovers

“…As part of the technological system, differences in raw material quality directly affect the way that humans produce, design and use stone tools. The selection, procurement and use of various raw materials requires decision-making to evaluate multiple factors such as suitability to produce and design tools, but also the materials' efficiency and durability in performing a given task. …”
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Optimizing Feature Selection in Sentiment Analysis of Bank Saqu: A Comparative Study of SVM and Random Forest using Information Gain and Chi-Square by Anelta Tirta Putri Subandono, Dhani Ariatmanto

“…The selection of an optimal feature selection method is a crucial factor in improving the accuracy and efficiency of text classification models. …”
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Selective recovery of Co(II) over Ni(II), Al(III), and Li(I) from ethylene glycol solution by solvent extraction and precipitation by Viet Nhan Hoa Nguyen, Quoc Vinh Ly, Mong Nhu Y Huynh, Van Hong Thien Doan, Huynh Vu Thanh Luong, Thi Hong Nguyen, Man Seung Lee, Thanh Tuan Tran

“…The results showed that Co(II) from the EG-H2O solutions was selectively extracted over other metals by ionic liquids, in which ALi-SCN was more efficient than Aliquat 336. …”
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Selective recovery of Co(II) over Ni(II), Al(III), and Li(I) from ethylene glycol solution by solvent extraction and precipitation by Viet Nhan Hoa Nguyen, Quoc Vinh Ly, Mong Nhu Y Huynh, Van Hong Thien Doan, Huynh Vu Thanh Luong, Thi Hong Nguyen, Man Seung Lee, Thanh Tuan Tran

“…The results showed that Co(II) from the EG-H2O solutions was selectively extracted over other metals by ionic liquids, in which ALi-SCN was more efficient than Aliquat 336. …”
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Highly Selective Precipitation of Platinum(IV) from HCl Solutions Using <i>m</i>-Phenylenediamine Utilizing Difference in Stability of Ionic Crystals by Kazuya Matsumoto, Yuki Hata, Hiroshi Katagiri, Mitsutoshi Jikei

“…The development of a selective separation and recovery method for platinum-group metals (PGMs) is in high demand to establish efficient and practical recycling technologies for different secondary materials such as industrial automobile catalysts. …”
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Genome-wide association studies and functional annotation of pre-weaning calf mortality and reproductive traits in Nellore cattle from experimental selection lines by Gustavo R. D. Rodrigues, Luiz F. Brito, Lúcio F. M. Mota, Joslaine N. S. G. Cyrillo, Júlia P. S. Valente, Lorena F. Benfica, João B. Silva Neto, Marcelo S. Borges, Fábio M. Monteiro, Lenira El Faro, Lucia G. Albuquerque, Maria E. Z. Mercadante

“…Conclusions These findings provide valuable information on genomic regions, candidate genes, biological processes, and metabolic pathways that may significantly influence the expression of complex reproductive traits in Nellore cattle, offering potential contributions to breeding strategies and future genomic selection strategies.…”
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