Infrared Small Target Detection, High-Precision Localization and Segmentation: Using TDU Kernel by C. Ding, S. Chen, H. Liu, Z. Luo, J. Zhang

“…First, the principle establishes a dual-scale target detection structure, selects the central point, decomposes the scale information and constructs the Integrated Local Contrast Saliency (ILCS) map, the target preliminary result is obtained by the visual attention mechanism of “top to bottom”. …”
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Recognition of State of Health Based on Discharge Curve of Battery by Signal Temporal Logic by Jing Ning, Bing Xiao, Wenhui Zhong

“…In order to study an algorithm that recognizes the state of health (SOH) of a battery rapidly and can be easily integrated into the micro-controller unit (MCU), it is proposed that signal temporal logic (STL) language is employed to describe the discharge curves, because the STL language is a formal language with strict mathematical definitions and the syntax is composed of simple logic, “and”, “or”, and “not”, under the constraints of time and parameter variation ranges, which is realizable and interpretable. …”
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Artificial intelligence - finite element method - hybrids for efficient nonlinear analysis of concrete structures by Michael A. Kraus, Rafael Bischof, Walter Kaufmann, Karel Thoma

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Application of Machine Learning and Multi-Dimensional Perception in Urban Spatial Quality Evaluation: A Case Study of Shanghai Underground Pedestrian Street by Tianning Yao, Yao Xu, Liang Sun, Pan Liao, Jin Wang

“…The study proposes a comprehensive and applicable spatial quality evaluation model integrating spatial quantification methods, machine learning algorithms, and multidimensional perception measurements. …”
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SIC-Free Based Indoor Two-User NOMA-VLCP System by Jianli Jin, Qianlong Shang, Jianping Wang, Huimin Lu, Danyang Chen, Dongmei Yang

“…The particle swarm optimization (PSO) algorithm is employed to construct a joint optimization function that optimizes the power allocation factor of the two users and the roll-off coefficient of the square-root-raised-cosine(SRRC) filter. …”
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Multi-Target Mechanism of Compound Qingdai Capsule for Treatment of Psoriasis: Multi-Omics Analysis and Experimental Verification by Qiao Y, Li C, Chen C, Wu P, Yang Y, Xie M, Liu N, Gu J

“…Despite its efficacy, the molecular mechanisms underpinning its therapeutic action remain unclear.Purpose: This study aimed to unravel the molecular mechanism of Compound Qingdai Capsule for psoriasis based on the psoriasis pathogenic pathway network, integrating multi-omics analysis, systems pharmacology, machine learning modeling, and animal experimentation.Methods: Psoriasis pathogenic pathway network was constructed through employing bioinformatics analysis and psoriasis-related multi-omics data mining. …”
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LUOJIA Explorer: A Multi-robot Autonomous Exploration and Mapping System for Unknown Spaces by C. Chen, C. Chen, C. Chen, Y. Xu, Y. Xu, Y. Xu, L. Zhao, L. Zhao, L. Zhao, Y. Li, Y. Li, Y. Li, S. Sun, S. Sun, S. Sun, L. Li, Z. Wang, Z. Wang, Z. Wang, B. Yang, B. Yang, B. Yang

“…As human exploration of space advances, the exploration of unknown spaces and the construction of digital twins for these environments have become increasingly important. …”
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An effective solution for analyzing the electromagnetic scattering characteristics of composite conducting dielectric objects under multiple angle incidence by Meng Kong, Xin Yuan Cao, Qi Qi, Xian Liang Wu

“…Based on the compressive sensing theory, this article constructs a new excitation source solution model using the Volume-Surface Integral Equation platform. …”
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Attention-Based Hypergraph Neural Network: A Personalized Recommendation by Peihua Xu, Maoyuan Zhang

“…To address the limitations of existing studies in multimodal heterogeneous data fusion and high-order relationship modeling, this research proposes a Heterogeneous Hypergraph and Attention-based Online Course Recommendation (HHAOCR) algorithm. By constructing a heterogeneous hypergraph structure encompassing three entity types (students, instructors, and courses), we innovatively designed hypergraph convolution operators to achieve bidirectional vertex-hyperedge information aggregation, integrated with a dynamic attention mechanism to quantify important differences among entities. …”
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Generalized angular-order parton showers in Herwig 7 by Joon-Bin Lee, M. R. Masouminia, Michael H. Seymour, Un-ki Yang

“…Abstract This paper presents the inaugural investigation of beyond the Standard Model (BSM) radiation processes, framed as a generalized, process- and model-independent parton shower algorithm within Herwig 7, based on direct translations of Universal FeynRules Output (UFO) constructed via Herwig’s ufo2herwig module. …”
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Optimization of Train Operation Plans for Urban Rail Transit Based on Platform Crowding Degree by WANG Yeliu, LIU Yong, LIANG Ye

“…Next, a genetic algorithm was utilized to derive the optimal operation plan through a solving process, and this optimal plan was integrated into subsequent operation scheduling, facilitating the automatic compilation of multi-route operation schedules. …”
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Nonlinear finite element calculations in problems of strength of lifting-transport machines by Titov N.A.

“…Contains general provisions for performing nonlinear finite element calculations of load-bearing metal structures of handling machines. The algorithms of constructing stiffness matrices of nonlinear finite element and iterative algo-rithms for the numerical integration of the equations are shown. …”
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Fast sparse representative tree splitting via local density for large-scale clustering by Renmin Wang, Jie Li

“…This paper proposes a novel large-scale clustering framework with three key innovations: (1) Parameter-free cluster discovery: unlike conventional methods requiring predefined cluster numbers, our algorithm autonomously identifies natural cluster structures through dynamic density-based splitting decisions. (2) Hybrid sampling-partitioning strategy: by integrating randomized sampling with K-means-based partitioning, we extract high-quality representative points that preserve data integrity with linear computational complexity. (3) Local density-driven MST segmentation: A minimum spanning tree (MST) constructed from representatives is adaptively partitioned using a local density criterion, which dynamically disconnects weakly associated edges by comparing density peaks between adjacent representative points. …”
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Utilizing machine learning and bioinformatics analysis to identify drought stress responsive genes in wheat (Triticum aestivum L.) by Jiabei He, Jiabei He, Baoyue Cui, Baoyue Cui, Pingzeng Liu, Pingzeng Liu, Xianyong Meng, Xianyong Meng, Jun Yan, Jun Yan

“…Among the various machine learning models, the random forest algorithm performed best in identifying drought stress-responsive genes. …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

“…Based on Suspected Defect Region (SDR) and formulated gray densities, a clustering-based SDR segmentation algorithm was constructed, aimed at precise segmentation of defect SDRs in various shapes. …”
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Modeling and Simulation of Urban Laser Countermeasures Against Low-Slow-Small UAVs by Zixun Ye, Jiang You, Jingliang Gu, Hangning Kou, Guohao Li

“…This study addresses the modeling and simulation challenges of urban laser countermeasure systems against Low-Slow-Small (LSS) UAVs by proposing a physics simulation framework integrating Geographic Information System (GIS)-based dynamic 3D real-world scenes and constructing a hybrid Anti-UAV dataset combining real and simulated data. …”
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Dual-GRU Perception Accumulation Model for Linear Beam Smoke Detector by Zhuofu Wang, Boning Li, Li Wang, Zhen Cao, Xi Zhang

“…The algorithm integrates dual-wavelength information and introduces the cross-attention mechanism into the GRU network to achieve collaborative modeling of microscale scattering characteristics and macroscale concentration changes of smoke particles. …”
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Vole Foraging-Inspired Dynamic Path Planning of Wheeled Humanoid Robots Under Workshop Slippery Road Conditions by Hu Li, Yan Wang, Yixuan Guo, Jiawang Duan

“…Inspired by the process of voles searching for food, to address this challenge, a slip-risk-assessment method based on time–space decoupling is designed and integrated into a grid-based environmental model. On this basis, the dynamic path-planning model is constructed by combining the cost functions and constraints based on the slip-risk information. …”
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Machine learning based assessment of hoarseness severity: a multi-sensor approach centered on high-speed videoendoscopy by Tobias Schraut, Anne Schützenberger, Tomás Arias-Vergara, Melda Kunduk, Matthias Echternach, Stephan Dürr, Julia Werz, Michael Döllinger

“…A videoendoscopic model was developed by selecting a suitable classification algorithm and a minimal-optimal subset of glottal parameters. …”
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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

“…The system proposes the integration of a language generation model equipped with Application Programming Interface (API) access. …”
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