Evaluating visitor perception and spatial preferences of various museums based on machine learning from 2016 to 2024. by Yuandi Jiang, Kalyna Pashkevych, Shibo Bi

“…Understanding the spatio-temporal evolution of visitor preferences, image perceptions, and driving factors is vital for promoting cultural development. …”
Get full text

ARTIFICIAL INTELLIGENCE AS AN OBJECT OF MANAGEMENT: A BENEFIT FOR CIVILISATION OR A THREAT TO MANKIND? by Iia Chudayeva, Boris Dmitruk

“…Advances in computing power, the ability to collect and process huge amounts of information, and instant access to the latest algorithms are important prerequisites for the evolution of intelligent technologies. …”
Get full text

Hybrid Modeling of an Induction Machine to Support Bearing Diagnostics by Praneet Amitabh, Dimitar Bozalakov, Frederik De Belie

“…Therefore, the current measurements were taken for several bearings with different fault severity. These measurements are processed and quantified such that the net outcome can express the evolution of the signature with increasing fault severity. …”
Get full text

Machine learning and multi-omics analysis reveal key regulators of proneural–mesenchymal transition in glioblastoma by Can Xu, Jin Yang, Huan Xiong, Xiaoteng Cui, Yuhao Zhang, Mingjun Gao, Lei He, Qiuyue Fang, Changxi Han, Wei Liu, Yangyang Wang, Jin Zhang, Ying Yuan, Zhaomu Zeng, Ruxiang Xu

“…The TIDE algorithm was used to examine immunotherapy scores. …”
Get full text

Combined use of multi-source satellite imagery and deep learning for automated mapping of glacial lakes in the Bhutan Himalaya by Xingyu Xu, Lin Liu, Lingcao Huang, Yan Hu

“…DeepLabv3+, an advanced semantic segmentation algorithm, was trained to delineate glacial lakes with areas larger than 0.005 km2 from multi-source imagery and their derivatives, including PlanetScope red-green-blue (RGB), PlanetScope-derived Normalized Difference Water Index (NDWI), Sentinel-2 RGB, Sentinel-2-derived NDWI, Sentinel-1 Synthetic Aperture Radar (SAR), and Landsat-8 RGB images. …”
Get full text

A Review of Vibration Control Studies of Double-Layered Cylindrical Shells Under Transient Excitation in Water by Zhen Zhang, Yinglong Zhao, Feng Chen

“…Firstly, the vibration response mechanisms of underwater double-layered cylindrical shells are sorted through a bibliometric analysis, and the evolution laws for plate–shell structures and the vibration transmission paths for single–double-shell structures are summarized systematically; secondly, the multi-path vibration transmission characteristics of double-layered cylindrical shells are analyzed based on energy transfer theory, and the contribution to transient noise through different transmission paths is quantitatively evaluated; and thirdly, the vibration transmission characteristics of active control, passive control, and hybrid control are evaluated systematically in terms of the dimensions of the control mechanism. …”
Get full text

Mantle Flow and Anisotropy in Subduction Zones: Modeling and Clustering of Olivine Textures by Yijun Wang, Ágnes Király, Clinton P. Conrad, Valerie Maupin

“…We compare olivine texture evolution predicted using different methods in both retreating and stationary‐trench settings. …”
Get full text

Intelligent Recognition and Automated Production of Chili Peppers: A Review Addressing Varietal Diversity and Technological Requirements by Sheng Tai, Zhong Tang, Bin Li, Shiguo Wang, Xiaohu Guo

“…In terms of automation, we systematically discuss the principles and feasibility of different mechanized harvesting machines, consider the potential of vision-based keypoint detection for the point localization of picking, and explore motion planning and control for harvesting robots (e.g., robotic systems incorporating diverse end-effectors like soft grippers or cutting mechanisms and motion planning algorithms such as RRT) as well as seed cleaning/separation techniques and simulations (e.g., CFD and DEM) for equipment optimization. …”
Get full text

Lateral shear interferometry for shape accuracy measurements of 3D-printed micro-optics by Zhao Yanqiu, Wang Lunwei, Siegle Leander, Giessen Harald

“…The technique of 3D-printed micro-optics has experienced significant advancements over the last few years [1, 2]. This progressive evolution has been marked by remarkable strides in precision and miniaturization, making it particularly attractive to applications in the field of medical endoscopy. …”
Get full text

Livestock Biometrics Identification Using Computer Vision Approaches: A Review by Hua Meng, Lina Zhang, Fan Yang, Lan Hai, Yuxing Wei, Lin Zhu, Jue Zhang

“…We also highlight the challenges faced in this field, such as data quality and algorithmic efficiency, and introduce the baseline models and innovative solutions developed to address these issues. …”
Get full text

Experimenting with learning-based image orientation approaches for photogrammetric mapping of <em>Posidonia oceanica</em> meadows by F. Menna, A. Calantropio, A. Pansini, G. Ceccherelli, E. Nocerino

“…A comparative analysis of traditional algorithms and AI-driven approaches for image orientation is presented on datasets that differ by acquisition protocols, depth, season, platform type, and imaging system. …”
Get full text

Deepmol: an automated machine and deep learning framework for computational chemistry by João Correia, João Capela, Miguel Rocha

“…Despite its potential to revolutionize the field, researchers are often encumbered by obstacles, such as the complexity of selecting optimal algorithms, the automation of data pre-processing steps, the necessity for adaptive feature engineering, and the assurance of model performance consistency across different datasets. …”
Get full text

MMAgentRec, a personalized multi-modal recommendation agent with large language model by Xiaochen Xiao

“…The system includes a recommendation module that seeks advice from different domain experts based on user requirements. …”
Get full text

Analysis of Blockchain-Technology by Danylo Dvorchuk, Iryna Shpinareva

“…The study explores the comparative advantages and limitations of different blockchain architectures and evaluates emerging optimization techniques such as hybrid consensus algorithms and artificial intelligence-based enhancements. …”
Get full text

An artificial intelligence approach to palaeogeographic studies: a case study of the Late Ordovician brachiopods of Laurentia by Akbar Sohrabi

“…Did morphological changes occur similarly in different regions with different palaeoenvironments on the Laurentian plate? …”
Get full text

Massive Acquisition of Ultraviolet Color Excess Information from GALEX and UVOT Bands by Dongliang Yang, Mingxu Sun, Biwei Jiang, Wenyuan Cui, Ruoyi Zhang, Luyao Shi, Jiachen Wei

“…By considering the impact of stellar parameters ( T _eff , [Fe/H], and ${\rm{log}}\,g$ ) on intrinsic color indices and utilizing the blue-edge method combined with a random forest algorithm, an empirical relationship between stellar parameters and intrinsic ultraviolet color indices is established. …”
Get full text

Inverse Dynamic Parameter Identification for Remote Sensing of Soil Moisture From SMAP Satellite Observations by Runze Zhang, Adam Watts, Mohamad Alipour

“…However, there is no consistent trend in the magnitudes of dynamic <italic>h</italic> and &#x03C9; between different algorithms. Identifying the most effective dynamic <italic>h</italic> and &#x03C9; parameters within the SMAP algorithmic framework necessitates not only selecting an appropriate parameter range but also accurately tracking the temporal evolutions of surface roughness and vegetation scattering. …”
Get full text

A comparative study of Mongolian medicine prescriptions in the Chinese Pharmacopoeia and Tibetan medicinal compounds in the Ministerial Standards by Ji Zang, Cai Rang-Zhou Tai, Jie-Jia Nan, Cai Rang-Nanjia

“…Different weights were applied to calculate the comprehensive similarity between the formulas. …”
Get full text

Supercontinuum Generation at 1310nm in a Highly Nonlinear Photonic Crystal Fiber with a Minimum Anomalous Group Velocity Dispersion by Ashkan Ghanbari, Ali Sadr, Hadi Tat Hesari

“…ABSTRACT:In present study ,we intend to investigate the evolution of supercontinuum generation (SCG) through triangular photonic crystal fiber (PCF) at 1310nm by using both full-vector multipole method (M.P.M) and novel concrete algorithms: symmetric  split-step fourier (SSF) and  fourth order runge kutta (RK4) which is an accurate method to solve the general  nonlinear schrodinger equation (GNLSE). …”
Get full text

Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

“…Furthermore, to optimize model performance, different feature selection algorithms were evaluated. …”
Get full text