Comparative analysis of adaptive and general labeling methods for soybean leaf detection by Yuseok Jeong, Yuseok Jeong, Song Lim Kim, Thanh Tuan Thai, Thanh Tuan Thai, Thanh Tuan Thai, Anh Tuan Le, Anh Tuan Le, Chaewon Lee, Hyo Jun Bae, Inchan Choi, Sheikh Mansoor, Yong Suk Chung, Kyung-Hwan Kim

“…Both approaches were employed to train a YOLOv5L deep learning model using high-resolution soybean imagery. Results show that the general labeling method excelled with soybean varieties that have wider internodes and distinctly separated leaves. …”
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Studying the impact of probiotic agents on the pathogenetic and clinical features of generalized periodontitis by M. A. Luchynskyi, O. O. Pompii, A. P. Oshurko, E. S. Pompii

“…Studying the impact of different probiotics on the pathogenetic and clinical features of generalized periodontitis will allow proposing optimized protocols for comprehensive treatment, reducing patient rehabilitation periods and improving the overall dental health of the population. …”
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A Generalized Dynamic Potential Energy Model for Multiagent Path Planning by Liu He, Haoning Xi, Tangyi Guo, Kun Tang

“…Path planning for the multiagent, which is generally based on the artificial potential energy field, reflects the decision-making process of pedestrian walking and has great importance on the field multiagent system. …”
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and DL predicting general complications but not prolonged air leaks in pulmonary segmentectomy by Daniel Baum, Monika Sombati, Lysann Rostock, Rahel Decker, Axel Rolle, Samer Etman, Dirk Koschel, Till Ploenes

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Views and opinions of the general public about the reimbursement of expensive medicines in the Netherlands. by Féline E V Scheijmans, Roosmarijn van der Wal, Margot L Zomers, Johannes J M van Delden, W Ludo van der Pol, Ghislaine J M W van Thiel

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PMD-Transformer: A Domain Generalization Approach for Person Re-Identification by Xingguo Jiang, Ling Yu, Guojun Lin, Yuchao Zhang

“…Finally, a new feedforward network (DRFNN) is used to enhance the mastery of spatial information and further improve the generalization performance of the model. The experimental results show that, in the setting where Market is the source domain and Duke is the target domain, the average precision (mAP) and Rank-1 metrics increased by 12.5% and 9.2%, respectively, compared to the optimal algorithm. …”
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Impact of diabetes and glycemic status on ventricular–arterial coupling in the general population by Hannes Holm, Haris Zilic, Amra Jujic, Linda Johnsson, Gunnar Engström, Peter M. Nilsson, Carl Johan Östgren, David Kylhammar, Jan Engvall, Martin Magnusson

“…Abstract Background/aims Ventricular–arterial coupling (VAC) plays a crucial role in cardiovascular physiology, affecting cardiac function and arterial properties for optimal organ perfusion. Considering that diabetes mellitus (DM) is a known risk factor for incident heart disease and vascular damage, this study aims to investigate whether changes in VAC due to DM occur earlier, even before the onset of clinically evident cardiovascular disease in the general population. …”
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Development of a numerical method for solving optimization problems approximation of the function given approximately and its derivatives based on the variational approach by Igor Naats, Victoria Igorevna Naats, Elena Yartseva

“…The problem of «recovery» of derivatives of the function under study and approaches to its solution are considered. Research results and their discussion: a possible application of this theory is the problem of computational mathematics associated with the operators of generalized differentiation of summable functions and finding the so-called weak solutions for boundary value problems of mathematical physics. …”
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Well Pattern optimization as a planning process using a novel developed optimization algorithm by Seyed Hayan Zaheri, Mahdi Hosseini, Mohammad Fathinasab

“…In traditional genetic algorithms, solutions lacking adequate qualifications are deleted from the algorithmic process; however, the new algorithm provides these solutions with additional opportunities to prove themselves by acquiring new velocities from particle swarm optimization. The results indicate that while the genetic algorithm and particle swarm optimization do not guarantee optimal outcomes, the newly developed algorithm outperforms both methods. …”
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Second-Order Optimality Conditions for Set-Valued Optimization Problems Under Benson Proper Efficiency by Qilin Wang, Guolin Yu

“…By employing the generalized second-order adjacent epiderivatives, necessary and sufficient conditions of Benson proper efficient solutions are given for set-valued optimization problems. …”
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A general cubic spline smooth semi-supervised support vector machine by ZHANG Xiao-dan, MA Jing-gai

“…A new smooth semi-supervised support vector with 1 time differentiable based on the general cubic spline function was constructed, and thus a lot of fast optimization algorithms could be applied to solve the smooth semi-supervised vector machine model. …”
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An adaptive hierarchical hybrid kernel ELM optimized by aquila optimizer algorithm for bearing fault diagnosis by Hao Yan, Liangliang Shang, Wan Chen, Mengyao Jiang, Tianqi lu, Fei Li

“…The AO algorithm is further enhanced by incorporating chaos mapping, implementing a refined balanced search strategy, and fine-tuning parameter $$G_2$$ , which collectively improve its ability to escape local optima and conduct global searches, thus strengthening the robustness of the model during parameter optimization. Experimental results on the CWRU , MFPT and JNU datasets demonstrate that stacked denoising autoencoder-adaptive hierarchical hybrid kernel extreme learning machine (SDAE-AHHKELM) has better fault classification accuracy, robustness, and generalization than KELM and other methods.…”
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Results of surgical treatment for isolated recurrent ovarian cancer involving the liver by V. V. Boyko, K. V. Kharchenko, S. O. Savvi

“…Results. Overall survival increased significantly while disease-free interval (DFI) increase (after primary cytoreduction) and optimal secondary cytoreduction is achieved. …”
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RESULTS OF COMBINED TREATMENT WITH INTRAOPERATIVE RADIAL THERAPY OF SOFT TISSUE SARCOMA by P. A. Ott, A. V. Privalov, A. V. Vazhenin, N. A. Chekha, E. G. Zabolotskaya, A. V. Komissarov

“…At the same time the statistically reliable increase of general survival rates (p=0.025) and the survival without relapse in the main group (p…”
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Chromaticity-Adaptive Generalized Spatial Modulation for MIMO VLC With Multi-Color LEDs by Ye Xiao, Yi-Jun Zhu

“…Therefore, the design algorithm of CA-GSM is derived with the optimal QLED selection pattern. Simulation results verify that our proposed CA-GSM can achieve performance improvement compared to the multi-stream spatial modulation and the conventional design method without considering channel.…”
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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

“…We examine the issue of generalization to divergent test tasks, which is a general concern of meta-learning algorithms in science, and propose strategies to alleviate it.…”
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Best Proximity Point for Generalized Proximal Weak Contractions in Complete Metric Space by Erdal Karapınar, V. Pragadeeswarar, M. Marudai

“…We establish also an example to illustrate our main results. Our result provides an extension of the related results in the literature.…”
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A Generalized Multi-Layer Framework for Video Coding to Select Prediction Parameters by Muhammad Asif, Maaz Bin Ahmad, Imtiaz A. Taj, Muhammad Tahir

“…The exploitation of the RDO technique contributes significantly to increase the computational complexity of the coding process. In this paper, a generalized multi-layer framework is presented, which provides a hierarchical optimized way to select MB prediction parameters. …”
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Toward Artificial General Intelligence in Hydrogeological Modeling With an Integrated Latent Diffusion Framework by Chuanjun Zhan, Zhenxue Dai, Jiu Jimmy Jiao, Mohamad Reza Soltanian, Huichao Yin, Kenneth C. Carroll

“…By integrating multiple tasks within a single framework, LDM eliminates the need for task‐specific models or extensive parameter optimization, offering an efficient and adaptive general solution for deep learning‐based hydrogeological modeling. …”
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Square-Based Division Scheme for Image Encryption Using Generalized Fibonacci Matrices by Panagiotis Oikonomou, George K. Kranas, Maria Sapounaki, Georgios Spathoulas, Aikaterini Aretaki, Athanasios Kakarountas, Maria Adam

“…Encryption keys are generated using the direct sum of generalized Fibonacci matrices, ensuring key matrix invertibility and strong diffusion properties and security levels. …”
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