Enhancing cotton irrigation with distributional actor–critic reinforcement learning by Yi Chen, Meiwei Lin, Zhuo Yu, Weihong Sun, Weiguo Fu, Liang He

“…In 2024, our method was validated in actual field experiments, achieving the highest yield among all approaches, with a 12.9% increase compared to traditional practices. Our research provides a robust framework for intelligent cotton irrigation in the region and offers promising new directions for implementing smart agricultural decision systems across diverse areas.…”
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Integrating particle swarm optimization with backtracking search optimization feature extraction with two-dimensional convolutional neural network and attention-based stacked bidir... by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak

“…Single-document summarization (SDS) targets on single document, whereas multi-document summarization (MDS) combines information from several sources, posing a greater challenge for researchers to create precise summaries. In the realm of automatic text summarization, advanced methods such as evolutionary algorithms, deep learning, and clustering have demonstrated promising outcomes. …”
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Trabecular bone score in rheumatic disease by M. V. Kozyreva, O. A. Nikitinskaya, N. V. Toroptsova

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Complex q-Rung Orthopair Fuzzy N-Soft Sets: A New Model with Applications by Muhammad Akram, Faiza Wasim, Ahmad N. Al-Kenani

“…This research article expands the formal representation of human thinking to a most generalized hybrid theory, namely, complex q-rung orthopair fuzzy N-soft set. …”
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REDalign: accurate RNA structural alignment using residual encoder-decoder network by Chun-Chi Chen, Yi-Ming Chan, Hyundoo Jeong

“…REDalign significantly reduces computational complexity compared to Sankoff-style algorithms and effectively handles non-nested structures, including pseudoknots, which are challenging for traditional alignment methods. …”
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Enhancing land feature classification with the BTR Extractor: A novel software package for high-accuracy analysis of aerial laser scan data by Jamshid Talebi, Zahra Azizi

“…Our method focuses on: – Comparing classification methods using airborne laser scanning data. – Implementing supervised algorithms for high-accuracy classification. – Evaluating the performance against existing software like TerraSolid.The user-friendly interface allows data entry, training data collection, and selection of classification methods. …”
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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Although both achieve global optimization, machine learning algorithms demonstrate higher solution rates and robustness compared to methods based on group optimization problems, making them more commonly applied solution algorithms. …”
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Automated Audiometry as the Screening of Hearing in Schoolchildren: Literature Review and Own Experience by Aleksandr V. Pashkov, Irina V. Naumova, Irina V. Zelenkova, Leila S. Namazova-Baranova, Elena A. Vishneva, Ksenia I. Voevodina

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Defect segmentation network of photovoltaic modules based on multi-scale convolution and attention mechanism by Dang Ning, Li Shifeng, Yu Kunyi

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Optimal Integration of Renewable Energy–Based Distributed Generation Units in Radial Distribution System by Le Chi Kien, Truong Van Hien, Hoang Do Ngoc Tram, Thai Dinh Pham

“…This paper solves three problems related to optimal connection of DGUs in the distribution system considering constant power generation and consumption with unity power factor (PF) (Problem 1), constant power generation and consumption with optimal PF (Problem 2), and time-varying power generation and consumption with optimal PF (Problem 3). Besides, this research also proposes a novel meta-heuristic optimization algorithm called revised coyote optimization algorithm (RCOA) for addressing the optimization problems of the simultaneous integration of DGUs in IEEE 69-bus radial distribution system. …”
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Parameter Identification and Linear Model of Giant Magnetostrictive Vibrator by Anming Wang, Jianjun Meng, Ruxun Xu, Decang Li

“…Therefore, the immune genetic algorithm (IGA) is applied in the identification of the five parameters of the Jiles–Atherton model and it showed a higher stability compared with the identification result of the differential evolution algorithm (DEA). …”
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Underwater Target Bearing Estimation Performance of Bottom-Mounted Extended Coprime Sparse Array by Yukun Zhang, Qiulong Yang, Kunde Yang, Xuegang Li

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Optimization Methods for Radon Progeny Measurement Based on the Three-Stage Method by Xiangming Cai, Xuwei Zeng, Fengdi Qin, Jian Shan

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LightGBM-Based Human Action Recognition Using Sensors by Yinuo Liu, Ziwei Chen

“…Through simulation experiments, it is demonstrated that the feature extraction method proposed in this paper has improved the accuracy of HAR. Compared with classical machine learning algorithms such as random forest (version 1.5.2) and XGBoost (version 2.1.3), the LightGBM algorithm shows improved performance in terms of the accuracy rate, which reaches 94.98%. …”
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Antenna Modeling and Reconstruction Accuracy of Time Domain-Based Image Reconstruction in Microwave Tomography by Andreas Fhager, Shantanu K. Padhi, Mikael Persson, John Howard

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Mathematical model of soil digging spherical excavator bucket by G. G. Buriy

“…The presented algorithm can be implemented in a computer program.…”
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Revolutionizing Concrete Bridge Assessment: Implementing Nondestructive Scanning for Transformative Evaluation by Wael Zatar, Felipe Mota Ruiz, Hien Nghiem

“…Implementing this algorithm into a computer code has paved the way for comprehensive automation of GPR data analyses. …”
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Expeditious Dynamic Clustering in Preprocessing for High-Performance Classification by Anamika Pimpa, Narissara Eiamkanitchat

“…The accuracy of classification algorithms across different applications is significantly influenced by data preprocessing. …”
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A Methodology for Situation Assessing of Space-Based Information Networks by Sai Xu, Jun Liu, Jiawei Tang, Xiangjun Liu, Zhi Li

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Image acquisition technology for unmanned aerial vehicles based on YOLO - Illustrated by the case of wind turbine blade inspection by Zhenjun Dai

“…For this purpose, the study aims to optimize the You Only Look Once (YOLO) processing algorithm for drone images to improve the detection efficiency. …”
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