A brain-inspired algorithm improves “cocktail party” listening for individuals with hearing loss by Alexander D. Boyd, Virginia Best, Kamal Sen

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A robotic system for researching social integration in honeybees. by Karlo Griparić, Tomislav Haus, Damjan Miklić, Marsela Polić, Stjepan Bogdan

“…In this paper, we present a novel robotic system developed for researching collective social mechanisms in a biohybrid society of robots and honeybees. …”
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Research on image generation technology based on deep learning by Li Jinchen

“…In recent years, deep learning-based image generation technology has made significant progress. This paper mainly introduces two main methods: generating adversarial network (GAN) and variational autoencoder (VAE). …”
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Territorial Space Optimization Method Based on Multi-Objective Genetic Algorithm and FLUS Model by Lin Ge

“…The innovation of the research lies in the optimization of the multi-objective genetic algorithm by improving the crossover and mutation process of genetic operators, enhancing the adaptability of the algorithm in dynamic environments, and improving the prediction accuracy of the spatial quantity structure of the national territory. …”
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Research on rock burst prediction based on an integrated model by Junming Zhang, Qiyuan Xia, Hai Wu, Sailei Wei, Zhen Hu, Bing Du, Yuejing Yang, Huaixing Xiong

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Optimizing Crop Yield Prediction: An In-Depth Analysis of Outlier Detection Algorithms on Davangere Region by C. S. Anu, C. R. Nirmala, A. Bhowmik, A. Johnson Santhosh

“…This research focuses on optimizing crop yield prediction in the Davangere region through a thorough analysis of outlier detection algorithms applied to the local agricultural dataset. …”
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CASSNet: Cross-Attention Enhanced Spectral–Spatial Interaction Network for Hyperspectral Image Super-Resolution by Zhanxu Zhang, Linzi Yang, Guanglian Zhang, Jiangwei Deng, Lifeng Bian, Chen Yang

“…Deep-learning-based super-resolution (SR) methods for a single hyperspectral image have made significant progress in recent years and become an important research direction in remote sensing. Existing methods perform well in extracting spatial features, but challenges remain in integrating spectral and spatial features when modeling global relationships. …”
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Experimental Test Procedure of the Spatial Distribution of Environmental Parameters and Products of Combustion in a Residential Area and Adjacent Spaces by A. A. Antoshyn, S. A. Volkau

“…This article is dedicated to the issue of efficiency increase of fire detection equipment in living accommodation and adjacent spaces. This research is intended to develop the testing methodology for spatial pattern of combustion products, including toxic gases with asphyxiant and irritant effects, in both height and area of rooms in a standard apartment building, as well as correlation identification between controlled by fire alarm parameters of environment in living rooms and dangerous fire factors.Proposed methodology includes the concentration measurement of the basic gaseous combustion products (asphyxiant and irritant), generated in the process of materials burning in living accommodation. …”
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Identification of Spatial and Symbolic City Image Elements Through Social Media Data: A Case Study of Hangzhou by Jiaqi Wang, Yu Shi, Weishun Xu, Yue Wu

“…Despite emerging empirical findings and computational tools that extend city image research to include social dimensions beyond visual perception, methodologies for effectively identifying and analyzing the relationships between the five city image elements remain underdeveloped. …”
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Algorithm of software package of intellectual decision support when designing cyber security system at the enterprise by E. A. Vitenburg, A. V. Nikishova

“…Such a product is necessary when designing an information security system and increasing its invulnerability during modernization or configuration changes. Research objectives are as follows: to develop an algorithm and a mathematical model of the software package for intellectual decision support.Materials and Methods. …”
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A Convergent Algorithm for Energy-Balanced Cluster-Heads Selection in Wireless Sensor Networks by Hsing-Lung Chen, Tai-An Chen, Shu-Hua Hu

“…The simulation results show that the proposed algorithm not only makes cluster-heads distribute evenly in a spatial respect but also converges the residual energies of all nodes on a small interval, resulting in extending the network lifetime significantly and stably.…”
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Research on Visual SLAM Navigation Techniques for Dynamic Environments by Tongjun Wang, Peijun Zhao

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Association between indoor occupancy and home spatial attributes of older adults’ daily living based on computer vision by Jiaoni Guo, Qiuyu Chen, Xiaoxiao Dong, Xiaohu Liu

“…Associations between activity occupancy and home spatial attributes were examined in five apartments and we used a computer vision-based behavioral research method with a nonintrusive approach to develop recognition algorithms for detection. …”
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Spatial transcriptomic analysis of 4NQO-induced tongue cancer revealed cellular lineage diversity and evolutionary trajectory by Feng Liu, Feng Liu, Xiaojun Wu, Shaoqing Yu, Deqiang Cheng, Jun Pan, Xiaodong Wang, Guanzhen Yu, Guanzhen Yu, Chaofu Li

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Surface Defect Detection Algorithm for Wind Turbine Blades Based on HSCA-YOLOv7 by Bing LI, Yunshan BAI, Kuan ZHAO, Congbin GUO, Yongjie ZHAI

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Leadership in the Research: Determinants of Quality, Standards and Best Practices by Henryk Dźwigoł

“…Based on the generalization of practitioners’ answers, the main factor of scientific research is the “concept of the research methodology model”, defined as a measure of the scientific research process effectiveness. …”
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An Accurate Phase Interface Locating Algorithm for Pore-Scale Two-Phase Interfacial Flows by Qiliang Mei, Tianjiang Wu, Chao Li, Xiaoying Zhou

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Spatial heterogeneity of cutaneous blood flow respiratory-related oscillations quantified via laser speckle contrast imaging. by Irina Mizeva, Elena Potapova, Viktor Dremin, Igor Kozlov, Andrey Dunaev

“…Earlier, we described the spatial heterogeneity of around 0.3 Hz oscillations and this motivated us to continue the research to find the conditions for the occurrence of spatial phase synchronization. …”
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A spatially explicit containment modelling approach for escaped wildfires in a Mediterranean climate using machine learning by Gbenga Lawrence Alawode, Pere Joan Gelabert, Marcos Rodrigues

“…Effectively suppressing large wildfires requires a thorough understanding of containment opportunities across landscapes, to which empirical spatial modelling can contribute largely. The previous containment model in Catalonia failed to account for the crucial roles of weather conditions, lacked temporal prediction and could not forecast windows for containment opportunities, prompting this research. …”
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Unravelling the importance of spatial and temporal resolutions in modeling urban air pollution using a machine learning approach by Alireza Zhalehdoost, Mohammad Taleai

“…Among the evaluated algorithms, MLP consistently achieves the highest predictive accuracy across both temporal and spatial scenarios. …”
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