Joint antenna selection and resource allocation for mm‐wave directional D2D communications using distributed deep reinforcement learning by Pouya Akhoundzadeh, Ghasem Mirjalily

“…Abstract In this paper, with the promising assumption of using adaptive directional microstrip antenna on user equipment, the problem of joint antenna selection, spectrum assignment, and transmit power allocation for mm‐wave device‐to‐device communications underlying cellular networks is tackled, with the goal of enhancing system throughput and energy efficiency. …”
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Integration of MRMR algorithm with advanced neural networks for modeling long-term crop water demand in agricultural basins by Ahmed Elbeltagi, Abdullah A. Alsumaiei, Ali Raza, Mustafa Al-Mukhtar, Salim Heddam

“…Abstract Assessing actual evapotranspiration (AET) remains a key challenge in the design of efficient irrigation systems, strategies, and schedules. …”
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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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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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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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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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Study on the anti-interference characteristics of neuronal networks: a comparative study of chemical synapses and electrical synapse by Xiang Li, Mai Lu

“…The correlation coefficients after superposition interference become 0.569, 0.163, and 0.88, respectively. …”
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Quantitative Analysis of the Labeling Quality of Biological Images for Semantic Segmentation Based on Attribute Agreement Analysis by Rong Xiang, Xinyu Yuan, Yi Zhang, Xiaomin Zhang

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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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Hyperspectral Anomaly Detection by Spatial&#x2013;Spectral Fusion Based on Extreme Value-Entropy Band Selection and Cauchy Graph Distance Optimization by Song Zhao, Yali Lv, Wen Zhang, Lijun Wang, Zhiru Yang, Gaofeng Ren, Bin Wang, Xiaobin Zhao, Tongwei Lu, Jiayao Wang, Wei Li

“…This method replaces the traditional covariance matrix with a significance-weighted Cauchy distance graph, reducing the influence of the target on the background and improving the model&#x2019;s robustness in complex environments. Subsequently, a low-rank and sparse representation model is employed to construct background dictionaries, low-rank coefficient matrices for the background, and sparse anomaly matrices, enabling effective spatial information utilization for detecting anomalous targets. …”
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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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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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