Dynamic selection of optimal tunnel convergence prediction model for a probabilistic deformation prediction by Peng ZENG, Zhiqiang ZHANG, Tianbin LI, Hao Tang, Zulong YAN, Lubo MENG

“…Objective In high geostress or complex geological conditions, tunnel convergence frequently exceeds the threshold, resulting in damage to support structures and, in extreme cases, tunnel collapse. …”
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An MILP Model for Optimizing Quality Inspection Allocation with Technology Selection and Variable Sampling Rates by Michele Ronchi, Cristian Cafarella, Matteo Gabellini, Alberto Regattieri, Mauro Gamberi

“…Quality inspection is critical for ensuring efficiency and compliance in assembly lines. The increasing adoption of AI-driven technologies, such as machine vision systems, offers significant potential to enhance detection performance and reduce inspection costs. …”
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Selection and Application of the Data Transfer Operating Protocol Software Architecture for the Software-Defined Radio by Oleg V. Vorobyov, Alexey I. Rybakov

“…The study examined the corrective ability of codes in the case of a supplementary Gaussian channel with binary phase modulation (OFDM-modulation, 2PSK and 4PSK absolute phase manipulation) in the selection of an energy-efficient approach to the design of ionospheric radio communication system. …”
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Investigation of printing turn angle effects on structural deformation and stress in selective laser melting by Ruqing Bai, Shengbo Shi, Jingzhe Wang, Jun Luo, Huayan Pu, Wenhan Lyu, Hakim Naceur, Daniel Coutellier, Li Wang, Yangkun Du

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Selective Extraction of Zirconium from Sulfuric Acid Solutions at High Concentration with Trioctylamine (TOA) by Shuo Tian, Jing Song, Hongqian Sun, Congcong Zhao, Zhiyu Zhang, Mingming Han, Tao Qi

“…The current extraction methods have defects, such as low efficiency at high metal concentration. In this article, a zirconium (Zr)/hafnium (Hf) solvent extractive separation from sulfuric acid solutions using trioctylamine (TOA) as the extractant was researched at room temperature. …”
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Complex Approach to the Conversion of Existing Refrigeration Systems to A2L Group Refrigerants by Serhii M. Molskyi, Oleksandr S. Molskyi, Anna L. Vorontsova

Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification by Linara Arslanova, Sören Hese, Marcel Fölsch, Friedemann Scheibler, Christiane Schmullius

“…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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An improved Red-billed blue magpie feature selection algorithm for medical data processing. by Chenyi Zhu, Zhiyi Wang, Yinan Peng, Wenjun Xiao

“…Experiments demonstrate that IRBMO exhibits high efficiency, generality and excellent generalization ability in feature selection tasks. …”
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Improved Low-Complexity, Pilot-Based Channel Estimation for Large Intelligent Surface Systems by Ali Gashtasbi, Mário Marques da Silva, Rui Dinis

“…In Large Intelligent Surface (LIS) systems, achieving accurate channel estimation is essential for enhancing communication quality and system efficiency. The main focus of this study is on using the Least Squares (LS) method to estimate pilot-based channels. …”
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Genomic signal selection analysis reveals genes related to the lambing trait of Hotan sheep by XinKun Wang, Wei Li, QiaoYan Huang, HuiPing Sun, LeXiao Zhu, RuoHuai Gu, Feng Xing

“…Objective Lambing in ewes is a complex and crucial aspect of sheep production that directly influences economic viability and production efficiency. …”
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The Application of Manifold Learning to a Selection of Different Galaxy Populations and Scaling Relation Analysis by Sogol Sanjaripour, Shoubaneh Hemmati, Bahram Mobasher, Gabriela Canalizo, Barry C. Barish, Irene Shivaei, Alison L. Coil, Nima Chartab, Marziye Jafariyazani, Naveen A. Reddy, Mojegan Azadi

“…The growing volume of data produced by large astronomical surveys necessitates the development of efficient analysis techniques capable of effectively managing high-dimensional data sets. …”
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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…To address this challenge, this paper proposes a novel, automated structural damage detection technique called <i>Simplicial Complex</i> Enhanced Manifold Embedding (SCEME). The key innovation of SCEME is the reduction of dimensions in both the temporal and spatial domains for efficient and information-preserving feature extraction. …”
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Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits by Anthony Bernard, Juliette Bénéjam, Morgane Roth, Fabrice Lheureux, Elisabeth Dirlewanger

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Research on Virtual Color Restoration of Complex Building System Based on Discrete Wavelet Transform by Chunqiao Song, Xutong Wu

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Dual path biphasic column for highly selective and ultrafast organic solvent membrane extraction by Baekmin Q. Kim, Jaehong Lee, Hanul Kim, Subeen Kim, Kyoungmun Lee, Dong-Yeun Koh, Siyoung Q. Choi

“…To address this, in this study, we develop a biphasic column for organic solvent membrane extraction, which consists of closely packed micron-sized water droplets covered by sub-nanometer-thick ion-ligand complexes that serve as size-exclusive membranes. Molecular mixtures dissolved in an organic solvent can be selectively extracted into the droplets through the interfacial complexes based on their sizes, while the solvent flows through the micron-scale interstices between the droplets. …”
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Enhanced Anomaly Detection in IoT Networks Using Deep Autoencoders with Feature Selection Techniques by Hamza Rhachi, Younes Balboul, Anas Bouayad

“…Compared to some IoT-based anomaly detection models, the experimental results reveal that the suggested model is more efficient at enhancing the accuracy of detecting malicious data. …”
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Performance Evaluation of Intrusion Detection System using Selected Features and Machine Learning Classifiers by Raja Azlina Raja Mahmood, AmirHossien Abdi, Masnida Hussin

“…Feature selection finds the most relevant features, thus reduces the dimensionality and complexity to analyze the network traffic.  …”
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A Study of Transmission Point Selection for Multi-Connectivity in Multi-Band Wireless Networks by Eunkyung Kim, Dongwan Kim, Changbeom Choi

“…The proposed point selection algorithm attains lower computational complexity with a 2-approximation of the optimal solution. …”
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The complex world of eutectic solvents: Guidelines for a correct characterization and use in sample preparation by Chiara Dal Bosco, Massimo Giuseppe De Cesaris, Lorenzo Antonelli, Nina Felli, Alessandra Gentili

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A Ship Emission Monitoring Option for Fuel Sulphur Content Measurement in Complex Environments by Fan Zhou, Xiaojia Lin, Liwei Hou

“…Limiting the fuel sulphur content (FSC) of ships can significantly reduce the harm caused by ship emissions, and analyzing ship exhaust gas to estimate FSC is a rapid, efficient, and low-cost monitoring method. To solve the difficulty in measuring FSC using sniffer equipment in a complex port area, a ship emission monitoring option for FSC measurement in complex environments is proposed here. …”
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