End-Edge Collaborative Lightweight Secure Federated Learning for Anomaly Detection of Wireless Industrial Control Systems by Chi Xu, Xinyi Du, Lin Li, Xinchun Li, Haibin Yu

“…Specifically, we first design a residual multihead self-attention convolutional neural network for local feature learning, where the variability and dependence of spatial-temporal features can be sufficiently evaluated. …”
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MAVM-UNet: multiscale aggregated vision MambaU-Net for field rice pest detection by Congqi Zhang, Ting Zhang, Guanyu Shang

“…Combining MSAA and CAVSS can capture the low-level details and high-level semantics and dynamically adjust the contributions of features at different scales; for example, the slender legs and antennae of pests rely on fine-grained features, while the large body of pests relies on coarse-grained features. …”
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Gonadal Dysfunction in Wolfram Syndrome: A Prospective Study by Gema Esteban-Bueno, Juan Luis Fernández-Martínez

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Pushkin and Walter Scott in the Context of Dostoevsky’s Child’s Readings by Albina S. Bessonova

“…The “sense of family” as a distinctive feature of the works of Walter Scott in Dostoevsky’s work receives a fundamental justification and expands to the concept of a unifying idea connecting family and society. …”
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AI-driven thermography-based fault diagnosis in single-phase induction motor by Muhammad Atif, Shoaib Azmat, Faisal Khan, Fahad R. Albogamy, Adam Khan

“…In CML, Statistical and Gray Level Co-occurrence Matrix (GLCM) features are extracted from thermal images. The support vector machine recursive feature elimination (SVM-RFE) method is used to select the most relevant and highest-score features from the extracted features. …”
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Optimizing UAV performance with IoT and fuzzy linear fractional transportation models by Samaher Al-Janabi, Nawras G. Seyhood

“…Unlike conventional path-planning methods, the proposed model leverages bio-inspired artificial intelligence (AI) algorithms and mixed-integer programming to solve multi-objective optimization problems under uncertainty. A critical feature of this platform is its ability to continuously adjust flight altitude based on real-time data, accounting for varying terrain morphology, fuel constraints, flight restrictions, and threats, thus ensuring optimal 3D trajectory planning. …”
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The structure of the local detector of the reprint model of the object in the image by A. A. Kulikov

“…To solve these problems, a local detector for a reprint model of an object in an image was developed and described. …”
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FOAM GYPSUM PRODUCTS BASED ON LOCAL BINDERS by A. S. Bagdasarov, A. I. Nesterenko, A. Yu. Pupkova

“…Objectives. The problems of production of porous gypsum products on a local gypsum binder in the Karachay-Cherkess Republic are considered. …”
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Method for Calculating Transients in a Gas Pipeline by A. S. Fikov

“…In the course of the research, the task was set to obtain a mathematical model of the process taking into account the inertial term of the equation of motion, the neglect of which is possible only if the friction losses are exceeded by 3.5–4 times over the shock pressure. An important feature of the solution that have been found is its universality, which makes it possible to significantly reduce labor costs when using it to find partial solutions to practical problems that differ in boundary conditions. …”
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Planning and management of logistic cycle by V. N. Kudashkin

“…Application of these methods allows forecasting material flows, creating the integrated management systems and controlling their movements, developing systems of logistic service, to optimize supply stock and solve a number of other tasks.A logistic approach to form a modern system of logistics will save time, reduce costs for the purchase of material resources, their delivery and storage.In modern conditions of the market economy, the considered time parameters of the logistic chain are essential for manufacturing enterprises because their records significantly increase the efficiency of the logistical system.Logistics is equipped with a special complex of economic and mathematical models, the main feature of which is the adaptability, i.e. ability to solve complex optimization problems in the operational mode and in the process of the management of material flows. …”
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Prevalence and risk factors of the most common multimorbidity among Canadian adults. by Obed Mortey, Gerald Mugford, Kris Aubrey-Bassler, Hensley H Mariathas, Ugochukwu Odimba, Zhiwei Gao

“…<h4>Conclusion</h4>Multimorbidity is a common feature among Canadian adults. The identification of the most prevalent patterns and associated risk factors in this study provides fresh insights into the etiology, progression, and possible prevention of the MCM among Canadian adults.…”
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MORPHOLOGICAL INNOVATIONS OF THE GERMAN LANGUAGE (ON THE MATERIAL OF LITERARY TEXTS) by Olena E. Kyrpychenko

“…It is a characteristic feature of spontaneous casual speech, which also affects the literary language. …”
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A Search for FDA Approved Drugs with Multiple Antiemetic Targets: A Computational-Based Drug Repositioning Study by Abdulmajeed Yunusa*1, Albashir Tahir1,2

“…Antiemetic drugs are readily available; however, poor responses and adverse effects are still common, leading to non-compliance and exacerbation of existing health problems, thus underscoring the need for improved and innovative treatment strategies. …”
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RFCS-YOLO: Target Detection Algorithm in Adverse Weather Conditions via Receptive Field Enhancement and Cross-Scale Fusion by Gang Liu, Yingzheng Huang, Shuguang Yan, Enxiang Hou

“…It addresses challenges like complex backgrounds and problems of missing and mis-detecting traffic targets in bad weather. …”
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Power System Transient Stability Assessment Based on Intelligent Enhanced Transient Energy Function Method by Tianxiao Mo, Jun Liu, Jiacheng Liu, Guangyao Wang, Yuting Li, Kaiwei Lin

“…Firstly, the ST-kmeans method is used to cluster the generator sets, and the S-transformation is performed on the power angle changes of the generator sets to extract features. Then, the principal component analysis method is used to reduce the dimension of the feature data. …”
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An algorithm for road target detection of autonomous vehicles based on improved YOLOv8 by Jianping Gao, Haotian Li, Zhe Li, Chengwei Xie, Xiaolei Ji, Yuzhuo Zhang

“…To improve the adaptability of the model and better capture image details and feature information, we replaced the SPPF module of the original model with the SPPELAN module and implemented upsampling using the point sampling module DySample. …”
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Unmanned Aerial Vehicle Anomaly Detection Based on Causality-Enhanced Graph Neural Networks by Chen Feng, Jun Fan, Zhiliang Liu, Guang Jin, Siya Chen

“…The former effectively circumvent the problems of nonlinear coupling and parameter uncertainty in complex dynamic modeling. …”
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DSNET: A Lightweight Segmentation Model for Segmentation of Skin Cancer Lesion Regions by Yucong Chen, Guang Yang, Xiaohua Dong, Junying Zeng, Chuanbo Qin

“…DSNET has only 0.291M parameters and 0.287 GFLops, and it achieves 81.30% mIoU and 89.81% DSC metrics, respectively. DSNET has two main features: lightweight and high efficiency, which not only highlights dermatological detail feature extraction but also supports deployment on medical mobile devices.…”
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Robotics Classification of Domain Knowledge Based on a Knowledge Graph for Home Service Robot Applications by Yiqun Wang, Rihui Yao, Keqing Zhao, Peiliang Wu, Wenbai Chen

“…In order to solve the problems that the service robot platform has, such as high timeliness requirements for indoor environment recognition tasks and the small scale of indoor scene data, a method and model for rapid classification of household environment domain knowledge is proposed, which can achieve high recognition accuracy by using a small-scale indoor scene and tool dataset. …”
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Instability Characteristics of and Control Techniques for Mudstone–Clay Composite Roof Roadways by Kaiqiang Sun, Huaidong Liu, Jun Wang, Changyou Liu, Jingxuan Yang

“…In China’s northwest mining areas, shallow buried coal seams commonly feature double soft composite roof structures of mudstone and clay, resulting in poor roadway stabilization and proving challenging for effective roadway-surrounding rock (RSR) control. …”
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