Interpretability-Oriented Adjustment of K-Means: A Multiple-Objective Particle Swarm Optimization Framework by Liang Chen, Leming Sun, Caiming Zhong

“…Clustering is an unsupervised machine learning technique used to partition unlabeled data into different groups. However, traditional clustering methods only provide a set of results without any explanations. …”
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Text Detection Method With Emphasis on Text Component Importance and Lightweight Design by Lanlan Yin, Qiming Wu

“…The experiment showed that the proposed method performed the best in accuracy, recall, and F1 value than the comparative algorithms on different datasets. …”
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Optimization of dye effluent decolorization by halotolerant Halomonas strain D2 in static culture condition by Ali Partovinia, Maryam Otadi, Amirhossein Alaedini

“…Toluidine Red is a pigment containing azo groups, which is invasively used in different industries. There are several chemical, physical, biological, optical, and combinational methods for different pollutant removal from the environment. …”
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Hybrid transformer and convolution iteratively optimized pyramid network for brain large deformation image registration by Xinxin Cui, Yuee Zhou, Caihong Wei, Guodong Suo, Fengqing Jin, Jianlan Yang

“…Secondly, the Swin-Transformer module is combined with the convolution iterative strategy, and each layer of the decoder is carefully designed according to the semantic information characteristics of different decoding layers. Extensive experimental results on three public brain magnetic resonance imaging datasets show that our method has the highest registration accuracy compared with 9 cutting-edge registration methods, which fully verifies the effectiveness and application potential of our model design.…”
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Energy-Efficient Route Planning Method for Ships Based on Level Set by Jiejian Zhu, Haiqing Shen, Qiangrong Tang, Zhong Qin, Yalei Yu

“…To verify the effectiveness of the proposed algorithm, its performance is evaluated through two case studies, comparing energy consumption under different environmental conditions. The experimental results demonstrate that, compared to the shortest path method based on the level set algorithm, the proposed approach achieves an energy saving rate of approximately 2.1% in obstacle-free environments and 1.4% in environments with obstacles.…”
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BHT-QAOA: The Generalization of Quantum Approximate Optimization Algorithm to Solve Arbitrary Boolean Problems as Hamiltonians by Ali Al-Bayaty, Marek Perkowski

“…In this article, arbitrary Boolean problems are examined by successfully solving them with our BHT-QAOA, using different structures based on various logic synthesis methods, an IBM quantum computer, and a classical optimization minimizer. …”
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Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

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Gas sensors and real-time video for accurate classroom occupancy detection by Koundinya Challa, Issa W. AlHmoud, Chandra Jaiswal, Balakrishna Gokaraju, Raymond Tesireo

“…The combination of these modalities provides a robust and adaptable framework for occupancy detection, which can be scaled for different building types and configurations. This method demonstrates significant potential in reducing energy consumption and enhancing the sustainability of building management systems by providing precise occupancy data for HVAC optimization. …”
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FEM Method Study of the Advanced ECAP Die Channel and Tool Design by Alexandr Arbuz, Nikita Lutchenko, Rozina Yordanova

“…Equal-channel angular pressing (ECAP) is one of the most effective methods for obtaining ultrafine-grained structures in metals and alloys, significantly improving their mechanical properties. …”
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The machine learning algorithm based on decision tree optimization for pattern recognition in track and field sports. by Guomei Cui, Chuanjun Wang

“…This study aims to solve the problems of insufficient accuracy and low efficiency of the existing methods in sprint pattern recognition to optimize the training and competition strategies of athletes. …”
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Optimization of extraction process and activity of protoilludane sesqui-terpene aryl esters from Floccularia luteovirens by ZHANG Xin, ZHU Qingyong, XU Huimin, WU Mengyuan, CHEN Xiao’e, CHEN Qihe, LIU Zhengjie

“…In this study, the effects of different methods on the extraction of protoilludane sesquiterpene aryl esters from Floccularia luteovirens were studied. …”
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Leveraging Transfer Learning in Deep Reinforcement Learning for Solving Combinatorial Optimization Problems Under Uncertainty by Fatima Ezzahra Achamrah

“…In recent years, addressing the inherent uncertainties within Combinatorial Optimization Problems (COPs) reveals the limitations of traditional optimization methods. …”
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Tactical intent-driven autonomous air combat behavior generation method by Xingyu Wang, Zhen Yang, Shiyuan Chai, Jichuan Huang, Yupeng He, Deyun Zhou

“…In this regard, this paper proposes a tactical intent-driven method for autonomous air combat behaviour generation. …”
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An Evidential Solar Irradiance Forecasting Method Using Multiple Sources of Information by Mohamed Mroueh, Moustapha Doumiati, Clovis Francis, Mohamed Machmoum

“…This study proposes an innovative approach to solar irradiance forecasting based on the theory of belief functions, introducing a novel and flexible evidential method for short-to-medium-term predictions. The proposed machine learning model is designed to effectively handle missing data and make optimal use of available information. …”
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Method for Obtaining High-Energy Feed Protein and Fat from Insects by Tatyana Maltseva, Viktor Pakhomov, Dmitry Rudoy, Anastasiya Olshevskaya, Arkady Babajanyan

“…The fat from the larvae was squeezed out in a screw press at different larval moisture levels, screw speeds and cake outlets. …”
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Rethinking the 'best method' paradigm: The effectiveness of hybrid and multidisciplinary approaches in chemoinformatics by José L. Medina-Franco, Johny R. Rodríguez-Pérez, Héctor F. Cortés-Hernández, Edgar López-López

“…One of the major outcomes of the survey is that, for various purposes, individual methods do not perform as well as the combination of approaches because single methods have inherent limitations with advantages and disadvantages.…”
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Development of an optimized deep learning model for predicting slope stability in nano silica stabilized soils by Ishwor Thapa, Sufyan Ghani, Prabhu Paramasivam, Mitiku Adare Tufa

“…Abstract Assessing the stability of infinite slopes is a critical challenge in geotechnical engineering, particularly by introducing Nano-silica (NS) stabilization, which changes soil properties and increases mechanical strength. Traditional methods of analysis of slope stability, such as the methods of limit equilibrium methods (LEM) and the methods of finite elements (FEM), often require extensive computational resources and effectively do not capture non-linear relations between soil stabilization and mechanisms of inclination failure. …”
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Optimization of Allocation and Launch Conditions of Multiple Missiles for Three-Dimensional Collaborative Interception of Ballistic Targets by Burak Yuksek, N. Kemal Ure

“…We verify the algorithm by performing extensive Monte-Carlo simulations on different interception scenarios and show that the developed approach yields significantly less average miss distance and more efficient use of resources compared to alternative methods.…”
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Optimization of Surgical Procedure and Efficacy Evaluation of Aortic Calcification Model in Rats with Chronic Kidney Disease by PAN Yicong, JIANG Wenhong, HU Ming, QIN Xiao

“…Objective To establish a chronic kidney disease-associated aortic calcification model in SD rats using different nephrectomy surgical methods, and to compare and evaluate surgical duration and survival time to explore a more optimized modeling method. …”
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Effects and formula optimization of Rosa roxbunghii pomace substrate on the yield and volatile flavor compounds of Lentinulaedodes by Tingfei Deng, Tingfei Deng, Liangqun Li, Liangqun Li, Chunyan Li, Chunyan Li, Yanfang Yan, Yanfang Yan, Anqin Gao, Xiaolan Liu, Xiaolan Liu, Xiong Pan, Xiong Pan, Ming Gao, Ming Gao, Lijuan Ge, Lijuan Ge, Mei Peng, Mei Peng, Zhongsheng Luo, Zhongsheng Luo, Yan Tian, Juan Yang, Juan Yang, Xiaosheng Yang, Xiaosheng Yang

“…This study aimed to investigate the effects of RRP at different proportions on the yield and volatile flavor compounds of Lentinula edodes, and to optimize the formula of the cultivation substrate.MethodsDifferent proportions of RRP were incorporated into the cultivation substrate of Lentinula edodes to form various test formulas. …”
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