Vehicle recognition in acoustic sensor networks using multiple kernel sparse representation over learned dictionaries by Rui Wang, Wenming Cao, Zhihai He

“…In the proposed multiple kernel sparse representation–based classification method, acoustic features of vehicles are extracted and mapped into a high-dimensional feature space using a kernel function, which combines multiple kernels to obtain linearly separable samples. …”
Get full text

Study of the Relationship between the Sonographic Appearance of the Ovaries in Polycystic Ovary Syndrome and Different PCO Phenotypes by Farideh Marmazi, Mojgan Barati, Kobra Shojaei, Elham Farhadi, Golnar Izadi

Get full text

Rebalancing polyamine levels to treat Snyder–Robinson syndrome by Susan K Gilmour

“…Inherited in an X‐linked recessive pattern, SRS has only been identified in males thus far. …”
Get full text

Sign language recognition method based on deep learning by He Mu

“…Sign language recognition, as an interdisciplinary field involving computer vision, pattern recognition, and natural language processing, holds profound research significance and extensive application value. …”
Get full text

Ultrafast Laser High-Aspect-Ratio Extreme Nanostructuring of Glass beyond λ/100 by Guodong Zhang, Anton Rudenko, Razvan Stoian, Guanghua Cheng

“…The ultimate feature size is key in ultrafast laser material processing. …”
Get full text

Interpretability Study of Gradient Information in Individual Travel Prediction by Ziheng Su, Pengfei Zhang, Xiaohui Song, Yifan Li

“…Descending-order masking strategies exhibit the strongest impact, highlighting nonlinear interactions among features. Contribution maps visualize how gradients capture regular patterns and anomalies. …”
Get full text

THE SUSTAINABLE TRANSPORTATION PLANNING IN RUSSIAN CITIES: PESPECTIVES FOR STREET CLASSIFICATION AND URBAN STREET DESIGN by E. S. Prelovskaya, A. G. Levashev, A. U. Michaylov, B. Engel

“…The mixed-use development pattern of the city center is chosen as an experimental research site, because the  solution of the issues in the city center is one of the most complex task for  transportation planning. …”
Get full text

Identification of Earthquake Precursors Origin and AI Framework for Automatic Classification for One of These Precursors by Ghada Ali, Lotfy Samy, Omar M. Saad, Ali G. Hafez, El-Sayed Hasaneen, Kamal AbdElrahman, Ibrahim Salah, Mohammed S. Fnais, Hamed Nofel, Ahmed M. Mohamed

“…The current study also introduces this automatic classification by developing various machine learning (ML) and Convolutional Neural Network (CNN) models to highlight the features characterizing each pattern. …”
Get full text

Research on the Spatial Network Connection Characteristics and Influencing Factors of Chengdu–Chongqing Urban Agglomeration from the Perspective of Flow Space by Yangguang Hao, Zhongwei Shen, Jiexi Ma, Jiawei Li, Mengqian Yang

“…Urban Agglomerations (UAs), as the primary form of China’s new urbanization and an essential spatial unit for promoting coordinated regional development, play a crucial role in measuring the sustainable and healthy development of urban clusters through the assessment of spatial network connections among cities within the UAs. …”
Get full text

Mapping urban functional zones with remote sensing and geospatial big data: a systematic review by Shouhang Du, Xiuyuan Zhang, Yichen Lei, Xin Huang, Wei Tu, Bo Liu, Qingyan Meng, Shihong Du

“…Spatial analysis units encompass regular grids, road blocks, image segmentation units, traffic analysis zones, and buildings. Data features consist of the remote sensing image-derived features (such as visual, spatial pattern, and abstract features) and the geospatial big data-derived features (such as spatial, attribute, and temporal features). …”
Get full text

Dissecting biological heterogeneity in major depressive disorder based on neuroimaging subtypes with multi-omics data by Lili Tang, Rui Tang, Junjie Zheng, Pengfei Zhao, Rongxin Zhu, Yanqing Tang, Xizhe Zhang, Xiaohong Gong, Fei Wang

“…We identified three neuroimaging-based MDD subtypes, each characterized by unique ALFF pattern alterations compared to HC. Multi-omics analysis showed a strong genetic predisposition for Subtype 1, primarily enriched in neuronal development and synaptic regulation pathways. …”
Get full text

Versatility Evaluation of Landslide Risk with Window Sizes and Sampling Techniques Based on Deep Learning by Fudong Ren, Koichi Isobe

“…Unlike conventional methods that often require manual feature selection and engineering, CNNs automate feature extraction, enabling a more nuanced understanding of complex patterns. …”
Get full text

Design of Intrusion Detection and Response Mechanism for Power Grid SCADA Based on Improved LSTM and FNN by Yu Huang, Liangyuan Su

“…To improve the accuracy of such systems, the study first uses sequence feature construction algorithms to explicitly represent sequence feature information. …”
Get full text

GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…The novelty of GNNSeq lies in its exclusive reliance on sequence features, a hybrid GNN framework, and an optimized kernel-based context-switching design. …”
Get full text

Spatial Coupling Characteristics of Ecosystem Services and Residents' Well- Being at Mining Area of Loess Plateau in Western Shanxi Province by Xiuqin Liang, Qiang Feng, Baoling Duan

“…[Results] ① The spatial pattern of ecosystem service value showed high in the east and low in the west with obvious difference between the east and the west. ② The spatial pattern of residents' well-being showed low in the middle and high in the east and west. ③ The spatial distribution of coupling coordination degree showed a feature of high in the east and low in the west with coordination state being the main factor, good coordination accounted for 58.9%. ④ The spatial difference of coupling coordination degree was affected by many factors, among which land use degree, vegetation cover degree and average annual precipitation were the main influencing factors, and the interaction between vegetation cover degree, land use degree and other factors had a greater impact on the coupling coordination degree. …”
Get full text

Accelerated preprocessing in task of searching substrings in a string by A. V. Mazurenko, N. V. Boldyrikhin

“…Two examples illustrating features of the practical application of the developed preprocessing procedure are given.Discussion and Conclusions. …”
Get full text

Anteromedial facet coronoid fractures: an algorithmic approach for assessment and management based on 3 dimensional computed tomography humeral subtraction by Armin Badre, MD, MSc, FRCSC, Moayd Abdullah H. Awad, MBBS, FRCSC, Robert Chan, MD, MSc, FRCSC, Michael Lapner, MD, FRCSC

“…AMF fractures as a result of a VPMRI mechanism have been reported to have specific radiographic features (medially oblique, concave, with extension to the sublime tubercle). …”
Get full text

The spatiotemporal evolution and spatial effect of digitalization on urban land intensive use in the Yangtze River Economic Belt by Dan Shen, Yuanxiao Hong, Lindong Ma

“…We arrive at the following key conclusions: (1) Urban digitalization development is characterized by spatial heterogeneity; The pattern of development shifts from “multi-point” erratic distribution to “cluster” accumulation, and the degree of development in each city differs significantly. …”
Get full text

IMPROVING THE STRATEGIC PLANNING OF THE DEFENSE-INDUSTRIAL COMPLEX CORPORATIONS OF RUSSIA by Katrina B. Dobrova

“…The relevance of the study due to the fact that the methodology for the adaptation of the strategic management of the military-industrial enterprises with substantial scientifi c and technical potential, should take into account a number of features, such as the identifi cation of the features of competition in the future; understanding of the prospects and development opportunities in the medium and long term; assessment of resource potential; impact assessment and risk in the implementation of promising strategies. …”
Get full text

Transferring R&D Outputs to Industry: Strategies of R&D Organizations by Stanislav Zaichenko

“…Depending on the degree of novelty of the transferred technologies there are three identified segments of scientific organizations manifesting one of the following behavioral patterns: innovation (introduction of developments that are unique both in  domestic and foreign markets, and feature qualitatively new characteristics matching or surpassing current standards), modification (introduction of technologies new to the implementing organization, although not to the market and adaptation (modification and improvement of technology previously used by the implementing organization). …”
Get full text