Effective Cultivated Land Extraction in Complex Terrain Using High-Resolution Imagery and Deep Learning Method by Zhenzhen Liu, Jianhua Guo, Chenghang Li, Lijun Wang, Dongkai Gao, Yali Bai, Fen Qin

“…We obtained optimal input data for the U-Net model by fusing spectral features and vegetation index features from remote sensing images. …”
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Is the beneficiary pays principle essential in climate justice? by Clare Heyward

“…In this paper, I want to ask whether the BPP must feature in any plausible account of remedial responsibility for climate change. …”
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Diversity is key: fantasy football dream teams under budget constraints by Josef Gullholm, Jil Klünder, Julie Rowlett, Jonathan Stålberg

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On the Satisfiability and Model Checking for one Parameterized Extension of Linear-time Temporal Logic by Anton Romanovich Gnatenko, Vladimir Anatolyevich Zakharov

“…The main issue which still remains unclear is the complexity of decision problems for these logics. In the paper, we give a complete solution to satisfiability checking and model checking problems for $Reg$-$LTL$ and prove that both problems are Pspace-complete. …”
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A novel coordinative spatio-temporal operation strategy for EV battery swapping-charging system based on mobile battery energy storage by Zhijian Liu, Duanyu Li, Jing Dai, Pengcheng Li, Wenguo Yan

“…In this situation, mobile battery energy storage (MBES) is proposed as an intermediary for energy transfer, featuring spatio-temporal and power-energy controllability to assist the operation of the battery swapping-charging system (BCSS). …”
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Hydrological and morphological features and geoecological condition of the territories of the plains area of the Kuma River valley and their significance in the system of civilizat... by E. G. Mishvelov, Z. V. Ataev, A. I. Kornienko

“…In this work, the main aim was a retrospective analysis of the geo‐ecological state and problems of natural territorial complexes (NTC) of the valley of the plains area of the Kuma River in the context of hydrological and morphological dynamics for the period from the 18th century to the present.Material and Methods. …”
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FAST Algorithm for Accurate Corner Points Detection of Section Steel Based on Adaptive Threshold by BAO Jiahan, SUN Deshang, HUANG Jianzhong, HU Zheng

“…Aiming at the problem that the features from accelerated segment test (FAST) algorithm needs to manually set the corner points screening threshold and there are numerous false corner points in corner point extraction, this paper proposes an adaptive threshold generation and correction strategy. …”
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Adaptation-integration aspects of state policy in the North Caucasus in relation to immigrants by Ivan Alexseevich Soloviev

“…The paper defines the hierarchical levels of the state migration policy in the North Caucasus, the priority areas of introduction of immigrants, as well as key legal, economic and cultural measures of state support to address adaptation and integration problems of migrants. The study revealed the ethnic features of the state of adaptation and integration policy with respect to foreign workers. …”
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An Approach using Skeleton-based Representations and Neural Networks for Yoga Pose Recognition by Nguyen Hai Thanh, Truong Nguyen Nhat, Pham Linh Thuy Thi, Pham Ngoc Huynh

“…Amid a rapidly developing era, people can inevitably have problems with stress, depression, pressure, or difficulty sleeping due to frequent overthinking. …”
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Data-Driven Proactive Early Warning of Grid Congestion Probability Based on Multiple Time Scales by Haobo Fu, Ruizhuo Wang, Bingxu Zhai, Yuanzhuo Li, Pengyuan Li, Rui Zhang, Haoyuan He, Siyang Liao

“…First, a multi-stage joint optimization feature selection model is constructed to capture the 12 feature sets that are most conducive to grid congestion warning from the massive grid history data containing 622 features. …”
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Development of a conceptual approach to the construction of a mathematical model of the optimal signal sequence by V. M. Samus

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Enhanced UAV Detection and Classification With Birds Using NLFM Pulse-Doppler Radar by Ju-Hong Park, Yoo-Ho Jang, Sang-Hoon Kang, He-Won Jung, Seong-Ook Park

“…The Doppler spectrum features derived from NLFM have achieved improved detection and high performance.…”
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Human motion state recognition based on smart phone built-in sensor by Xiaoling YIN, Xiaojiang CHEN, Qishou XIA, Juan HE, Pengyan ZHANG, Feng CHEN

“…To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.…”
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Development of algorithms and software for classification of nucleotide sequences by V. R. Zakirava, D. A. Syrakvash, S. V. Hileuski, P. V. Nazarov, M. M. Yatskou

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Human motion state recognition based on smart phone built-in sensor by Xiaoling YIN, Xiaojiang CHEN, Qishou XIA, Juan HE, Pengyan ZHANG, Feng CHEN

“…To solve problems of low accuracy and fewer types of human motion state recognized by current smart phones,a method to do hierarchical recognition by using acceleration sensors and gravity sensors was proposed.Firstly,linear acceleration in inertial coordinate system and independent of phone direction was calculated by using the relation between acceleration and gravity acceleration.Secondly,according to the span of human motion frequency and linear acceleration vector,positions of peak and trough of footsteps were determined.Finally,feature vector of linear acceleration in time domain was extracted and human motion states were recognized hierarchically by using hierarchical support vector machine (H-SVM).The experiment shows the method can recognize six usual human motion states,while accuracy rate up to 93.37%.…”
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The abnormal traffic detection scheme based on PCA and SSH by Zhenhui Wang, Dezhi Han, Ming Li, Han Liu, Mingming Cui

“…At the same time, PCSS also combines feature fusion and SSH to enhance the feature extraction of unclear features data, and effectively improve the detection speed and accuracy. …”
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Application of SIFT operator with binocular vision fusion in Building engineering measurement by Li Chune, Deng Rui

“…Therefore, a scale invariant feature transformation engineering measurement method integrating binocular vision is proposed. …”
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Kidney Diseases Classification using Hybrid Transfer-Learning DenseNet201-Based and Random Forest Classifier by Abdalbasit Mohammed Qadir, Dana Faiq Abd

“…In this study, a hybrid technique is used by utilizing both pre-train models for feature extraction and classification using machine learning algorithms for the task of kidney disease image diagnosis. …”
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FAHPBEP: A Fuzzy Analytic Hierarchy Process Framework in Text Classification by Razieh Asgarnezhad, Sayed Monadjemi, MohammadReza Soltanaghaei

“…First, features of user's opinions are extracted based on three methods: (1) Backward Feature Selection; (2) High Correlation Filter; and (3) Low Variance Filter. …”
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3D Object Detection Based on Graph Network Fusion Sampling Strategy by LI Wenju, CHEN Zhilin, QU Jiantao, CUI Liu, CHU Wanghui, GAO Hui

“…Secondly, the K-NN algorithm is used to construct the graph of the sampled point cloud, and sub-image sampling is introduced to solve the problem of over-smooth graph convolution. Finally, the features of graph nodes are updated through feature interaction to improve the feature extraction ability of the network, thereby improving the target detection effect. …”
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