An enhanced fruit fly optimization algorithm with random spare and double adaptive weight strategies for oil and gas production optimization by Xu Wang, Jingfu Shan

“…As a promising alternative, evolutionary algorithms—rooted in the principles of natural selection—have demonstrated strong potential for addressing complex optimization problems due to their gradient-free nature and inherent suitability for parallel computation. …”
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Unveiling Performance and Genetic Estimates of Tongil-Type Rice Genotypes for Yield Improvement and Breeding by Barnabas Justo Sitta, Lupakisyo Mwakyusa, William Titus Suvi, Fatma Suleiman Ally, Mbaraka Abbakari Batare, Sophia Kashenge-Killenga, Sang-Bok Lee

“…However, owing to its complex genetic basis, selecting for yield alone is often insufficient. …”
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A fast video coding algorithm using data mining for video surveillance by Bingyue Xie

“…The large volume of video data generated in these areas requires efficient processing techniques. However, traditional video compression and encoding methods are often complex and time-consuming, which can hinder the real-time performance needed for effective surveillance systems. …”
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Indoor Mobile Localization in Mixed Environment with RSS Measurements by Zhengguo Cai, Lin Shang, Dan Gao, Kang Zhao, Yingguan Wang

“…This paper proposes an indoor mobile localization scheme with RSS measurements in a mixed LOS and NLOS environment. First, a new efficient composite measurement model is induced and validated, which approximates the complex effects of LOS and NLOS channels. …”
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A scenario-based alternative to conventional tools for choosing the strategy in turbulent environments by Ali Sorourkhah

“…This study provides managerial implications by showing that despite the classic strategy selection approach being appropriate for austere environments and the MADM models being reasonable for complex environments, RA  produces more reliable results when dealing with turbulent environments.…”
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Improved RT-DETR for Infrared Ship Detection Based on Multi-Attention and Feature Fusion by Chun Liu, Yuanliang Zhang, Jingfu Shen, Feiyue Liu

“…Additionally, a channel attention module is employed during feature selection, leveraging high-level features to filter low-level information and enabling efficient multi-level fusion. …”
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A practical tutorial for optimizing electromembrane extraction methods by response surface methodology by Samira Dowlatshah, Anne Oldeide Hay, Line Noreng, Frederik André Hansen

“…The tutorial aims to make RSM accessible to both novice and moderately experienced users, promoting its broader application in analytical chemistry. By simplifying the complex optimization process, this tutorial supports the development of robust, efficient, and green EME methods.…”
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Research Progress and Technical Challenges of Geothermal Energy Development from Hot Dry Rock: A Review by Yilong Yuan, Xinli Zhang, Han Yu, Chenghao Zhong, Yu Wang, Dongguang Wen, Tianfu Xu, Fabrizio Gherardi

“…Key technologies include the high-resolution exploration and characterization of HDR, efficient and complex fracture network reservoir creation, effective microseismic control, fracture network connectivity, and reservoir characterization. …”
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Selección de proveedores con el método PSI by Ángel Rodríguez Rodriguez, Raquel Irene Laguado Ramírez, Belisario Peña Rodríguez, Lida Yaneth Maldonado Mateus

“…This makes it an ideal option for complex processes such as supplier selection, where decision criteria are often multiple and diverse, such as cost, quality, reliability, or delivery time, among others. …”
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Detection of disease on nasal breath sound by new lightweight architecture: Using COVID-19 as an example by Jiayuan She, Lin Shi, Peiqi Li, Ziling Dong, Renxing Li, Shengkai Li, Liping Gu, Zhao Tong, Zhuochang Yang, Yajie Ji, Liang Feng, Jiangang Chen

“…Our Dense-ReLU-Dropout model, using RF and PCA for feature selection, achieves high accuracy with greater computational efficiency compared to existing methods that require more complex models or larger datasets. …”
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Multi-Head Attention-Based Framework with Residual Network for Human Action Recognition by Basheer Al-Tawil, Magnus Jung, Thorsten Hempel, Ayoub Al-Hamadi

“…Additionally, we introduce a motion-based frame selection strategy utilizing optical flow to reduce redundancy and enhance efficiency. …”
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A novel approach to intrusion detection system using hybrid flower pollination and cheetah optimization algorithm by Deepshikha Kumari, Prashant Pranav, Abhinav Sinha, Sandip Dutta

“…Its high accuracy and adaptability across diverse benchmark datasets underscore its potential as a critical tool for enhancing cybersecurity defences in dynamic and complex environments.…”
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The analysis of strategic management decisions and corporate competitiveness based on artificial intelligence by Yang Pu, Hao Li, Wenjia Hou, Xingchen Pan

“…This work provides enterprises with an efficient and reliable decision-support tool, facilitating the maintenance of competitive advantages in complex and dynamic market environments.…”
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A Novel Dual-Channel Hybrid Attention Model for Wind Turbine Misalignment Fault Diagnosis by Tong Tong, Xiang Liu, Jia Zhang, Dian Long, Teng Fan, Xiangyang Zheng

“…This module achieves efficient integration of features by adaptively fusing the multi-scale local features output from the hybrid U-Net decoder with the deep global features extracted from the ResNet50 backbone network through a dynamic weighting and expert selection mechanism. …”
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Colonial bacterial memetic algorithm and its application on a darts playing robot by Szilárd Kovács, Csaba Budai, János Botzheim

“…CBMA incorporates features like multi-level clustering, dynamic gene selection, hierarchical population clustering, and adaptive co-evolutionary mechanisms, enabling efficient management of task-specific parameters and optimizing solution quality while minimizing resource consumption. …”
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Object-topological modeling of electrical networks by I. A. Golovinskii

“…It allows building object-oriented models of electrical networks, but does not provide efficient tools for analyzing their structure and state. …”
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Spring soft wheat ‘Tulaykovskaya Nadezhda’ by V. V. Syukov, E. N. Shabolkina, A. A. Viyushkov, S. E. Porotkin, N. V. Gulaeva

“…One of the most efficient and economically effective methods to stabilize the yields of grain crops is to develop ecologically adapted high-qualitative varieties and hybrids tolerant to a complex of abiotic, biotic and anthropogenic factors. …”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Space-air-ground integrated networks:review and prospect by Xuemin(Sherman) SHEN, Nan CHENG, Haibo ZHOU, Feng LYU, Wei QUAN, Weisen SHI, Huaqing WU, Conghao ZHOU

“…With the advance of the information technologies,the scale of the information services gradually expands,from ground services,to aerial,maritime,and spatial services,with the soaring requirements on multi-dimensional comprehensive information resources.The space-air-ground integrated networks (SAGINs) are envisioned to provide seamless network services to spatial,aerial,maritime,and ground users,satisfying the future network requirements on all-time,all-domain,and all-space communications and interconnected networking.Firstly,we reviewed the current research development of SAGINs,discussing the research trends on the low-earth orbiting (LEO) satellite constellation and space-ground network integration.Then,the reinforcement learning (RL) framework was proposed in SAGINs to address the problems of complex architecture,high dynamics,and resource constraints in SAGINs,which facilitated efficient and fast network design,analysis,optimization,and management.As a case study,the method of applying deep RL (DRL) was showed for the intelligent access network selection in SAGINs.To improve the RL training efficiency,a comprehensive SAGINs simulation platform was established,through which the agent-environments interaction was accelerated and training samples could be obtained more cost-effectively.Finally,some open research directions were presented.…”
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Research on BIM Collaborative Design in Overseas Large-Scale Hydropower Engineering and Its Applications by FAN Shaopeng, LIU Huibo, XIONG Zebin, ZHOU Song, LYU Changhuo

“…Its engineering design is based on the digital three-dimensional (3D) collaborative design platform of Dassault CATIA V5 and 3DExperience,and thus a multi-disciplinary BIM collaborative design mechanism is constructed,which includes topographic surveying,geology,various buildings of the main power station (civil engineering,electromechanics,metallic structure,architecture,monitoring),diversion tunnels,and cofferdam.During different stages of the project,practice and efforts have been made regarding the scheme selection and demonstration,parametric and standard fine design and modeling,numerical analysis,engineering drafting,quantity surveying,etc.The main purpose is to solve the problems such as the optimization and development of two-dimensional (2D) engineering drafting functions based on modeling information,as well as the 3D reinforcement for complex-shaped structures. …”
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