Hyperspectral Target Detection Based on Macro–Micro Spectrum Contrastive Learning by Jiacheng Tian, Dunbin Shen, Wenfeng Kong, Min Li, Hongyu Wang, Xiaorui Ma

“…First, to address spectral variation, a multiscale view transformation strategy is proposed to learn intrinsic features by contractive learning between macro and micro spectrum groups. …”
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New AODV based clustering routing strategy by ZHENG Kai1, WANG Neng1, LIU Ai-fang2

“…A new AODV based clustering routing protocol（AODV-clustering）was proposed which kept the good features of AODV and also effectively solved its scalability problem.We have implemented it using Java on JiST/SWANS platform,and presenting a simulation-based evaluation,the results confirmed the effectiveness of our design…”
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The Russian-German book relations historiography by K. V. Petrov

“…It establishes thematic focus, character features of available publications and gaps in studying the problem history based on sources analysis. …”
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Regulation of financial markets: russian and foreingh practice

“…The author considers characteristic features of the financial regulators functioning. Also role of the regulators and feature of their activities in the leading countries of the world and Russia are analysed in the article. …”
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INTEGRATION OF DISTRIBUTED INERTIAL NAVIGATION SYSTEMS BUILT AROUND FIBER-OPTIC AND MICROELECTROMECHANICAL SENSORS by A. V. Chernodarov, A. P. Patrikeev, I. I. Merkulova, S. I. Ivanov

“…In the solution of the problem formulated above, an object-oriented modular technology for the creation of integrated navigation systems was taken as a basis. …”
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Predictive Models Using Machine Learning to Identify Fetal Growth Restriction in Patients With Preeclampsia: Development and Evaluation Study by Qing Hua, Fengchun Yang, Yadan Zhou, Fenglian Shi, Xiaoyan You, Jing Guo, Li Li

“…The Shapley additive explanations (SHAP) method was adopted to rank the feature importance and explain the final model for clinical application. …”
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Conv1D-LSTM: Autonomous Breast Cancer Detection Using a One-Dimensional Convolutional Neural Network With Long Short-Term Memory by Mitanshi Rastogi, Meenu Vijarania, Neha Goel, Akshat Agrawal, Cresantus N. Biamba, Celestine Iwendi

“…Breast cancer is an increasingly serious problem in contemporary society, with millions of women and men worldwide affected by the disease. …”
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EXPERIENCE OF USING DIGITAL SYSTEMS FOR DIAGNOSTICS OF HYPERTROPHIC SKIN SCARS OF FACE by D.S. Avetikov, O.P. Bukhanchenko, I.O. Ivanytsky, N.A. Sokolova, I.V. Boyko

“… The relevance of the problem. Head and neck scars resulting from the effects of various endogenous and exogenous factors are an actual problem of modern surgical stomatology. …”
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Latency and energy-efficient multi-hop routing protocol for unmanned aerial vehicle networks by Abdelhamied A Ateya, Ammar Muthanna, Irina Gudkova, Yuliya Gaidamaka, Abeer D Algarni

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THE EVOLUTION OF LOCAL GOVERNMENT AND SELF-GOVERNMENT IN RUSSIA by T. Yashchuk

“…The development of the city is subject to problems of industrialization and development of the rural areas is subject to problems of collectivization. …”
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PRAWO JURYSPRUDENCYJNE JAKO PRAWNICZY DYSKURS ARGUMENTACYJNY (ZARYS PROBLEMATYKI) by Paulina Święcicka

“…This activity, aside from cavere and agere, consisted in respondere, i.e. to answer to questions concerning legal problems, and, in that way of explaining the law or – in other words – by means of interpretation – to create new rules, forming in time a great legal corpus. …”
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Quality of life assessment in patients with multiple sclerosis by Kisić-Tepavčević Darija, Pekmezović Tatjana, Drulović Jelena

“…The main physiopatological feature of MS is demyelination. Multiple sclerosis is one of three most common causes of severe disability in youngest people. …”
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State-of-the-Art Web Platforms for the Management and Sharing of Data: Applications, Uses, and Potentialities by Franco Spettu, Cristiana Achille, Francesco Fassi

“…The panorama of commercial web platforms is analyzed according to the Software-as-a-Service business model, and the features of some representative platforms are exposed. …”
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Deep spatio-temporal dependent convolutional LSTM network for traffic flow prediction by Jie Tang, Rong Zhu, Fengyun Wu, Xuansen He, Jing Huang, Xianlai Zhou, Yishuai Sun

“…The biggest difficulty in this task is how to solve the problem of spatial imbalance and the problem of temporal imbalance. …”
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A Tank Experiment of the Autonomous Detection of Seabed-Contacting Segments for Submarine Pipelaying Operations by Bo Wang, Jie Wang, Chen Zheng, Ye Li, Jian Cao, Yueming Li

“…The prefusion module pre-fuses the three layers of feature maps from different stages in the backbone, and the delicate features of the shallow feature maps are fused with the deeper feature maps to generate richer feature maps with space location and semantic classification information. …”
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Research on Intelligent Recognition Method of Ground Penetrating Radar Images Based on SAHI by Ruimin Chen, Ligang Cao, Congde Lu, Lei Liu

“…Since distress features occupy fewer pixels on the original image, to allow the model to pay greater attention to the distress features, it is necessary to crop the original images centered on the distress labeling boxes first, and then input the cropped images into the model for training. …”
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An Innovative Neighbor Attention Mechanism Based on Coordinates for the Recognition of Facial Expressions by Cheng Peng, Bohao Li, Kun Zou, Bowen Zhang, Genan Dai, Ah Chung Tsoi

“…For solving the facial expression recognition (FER) problem, we introduce a novel feature extractor called the coordinate-based neighborhood attention mechanism (CNAM), which uses the coordinate attention (CA) method to capture the directional relationships in separate horizontal and vertical directions, the input features from a preprocessing unit, and then passes this to two residual blocks, one consisting of the neighborhood attention (NA) mechanism, which captures the local interaction of features within the neighborhood of a feature vector, while the other one contains a channel attention implemented by a multilayer perceptron (MLP). …”
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Land use classification through fusion of remote sensing images and multi-source data by Guo Zhiqian, Ren Yushui, Li Xin, Ma Kang, Qian Shujun

“…Through the fusion of multi-source feature data, the spatial information of remote sensing image is combined with the attribute information of other data sources to extract spectral and shape features and complete the classification of land use. …”
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Steady-State Visual-Evoked-Potential–Driven Quadrotor Control Using a Deep Residual CNN for Short-Time Signal Classification by Jiannan Chen, Chenju Yang, Rao Wei, Changchun Hua, Dianrui Mu, Fuchun Sun

“…Since the frequency-domain features extracted from short-time-window signals are difficult to distinguish, the EEGResNet starts from the filter bank (FB)-based feature extraction module in the time domain. …”
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Numerical Solution of Mathematical Model of Heat Conduction in Multi-Layered Nanoscale Solids by Aníbal Coronel, Ian Hess, Fernando Huancas, José Chiroque

“…We introduce a one-dimensional mathematical model given by an initial interface-boundary value problem, where the unknown is the solid temperature. …”
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