AviaryMOT: Aviary Attention-based adaptive multi-object tracking of cranes and storks in wetlands by Chang Liu, Xuran Ma, Jiahong Zhou, Nini Sun, Hengming Liu

“…We construct a dataset, BirdTrack, for cranes and storks tracking. …”
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Sway control of containers through concurrent application of active mass damper and driving mechanism by Joon Ho YOON, Dae Woong KIM, Soo Min KIM, Moon Kyu KWAK

“…The Negative Acceleration Feedback (NAF) Control algorithm was employed, and the stability of the control system was theoretically investigated, followed by numerical simulations. …”
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Interaction design for virtual-real confrontation training system based on target agent by ZHANG Qi, HUANG Hesong, CAI Ya, JIAO Peng

“…At present, army mainly relies on the live engagement system in the live training, integrating live, virtual, and constructive simulations. …”
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Prediction model for oil seal performance parameters based on PSO-MLP-KAN by Weixing Yan, Mingshuo Shi, Pengbo Xiao, Kui Zhang, Xin Wu

“…To address the challenges posed by incomplete experimental data and limited data quantity, a hybrid approach integrating simulation data and experimental data is employed, complemented by the use of the Latin hypercube sampling method to construct an oil seal performance dataset. …”
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SmilODB: a multi-omics database for the medicinal plant danshen (Salvia miltiorrhiza, Lamiaceae) by Yong-Hui Liu, Wen-Qiong Zeng, Si-Fan Tao, Yi-Nuo Du, Fei-Hong Yu, Zhe-Chen Qi, Dong-Feng Yang

“…Although various omics resources have been published, there remains a lack of an integrated platform to unify genomic, transcriptomic, proteomic, and metabolomic data.MethodsTo address this gap, we constructed the S. miltiorrhiza Multi-omics Database (SmilODB, http://www.isage.top:56789/), which systematically integrates publicly available genome assemblies, transcriptome datasets, metabolic pathway annotations, and protein structural predictions. …”
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Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables by Haiyan He, Zhoutao Li, Qian Qin, Yue Yu, Yuanxin Guo, Sheng Cai, Zhanming Li

“…This review has proposed an innovative method that integrates spectral and image data, enhancing the accuracy of pesticide residue detection through the construction of interpretable machine learning algorithms, and providing support for the intelligent sensing and analysis of agricultural and food products.…”
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Energy Management Considering Energy Storage and Demand Response for Smart Energy Hub in Internet of Things by Jinyong Lei, Changcheng Zhou, Xiaolin Li, Andi Huang, Hao Bai, Zhiyong Yuan, Linjie Zhou

“…First, the models of the SEH and users are constructed. Then the profit models under the influence of energy storage are discussed. …”
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Problems with Missing Tricomi Condition and Analog of Frankl Condition for One Class of Mixed Type Equations by Assel Makulbay, Mirakhmat Mirsaburov, Abdumauvlen Berdyshev, Gulbakhor Mirsaburova

“…Non-standard approaches are applied here in constructing the solution algorithm. Through successive applications of the theory of singular integral equations and then the Wiener–Hopf equation theory, the non-standard singular Tricomi integral equation is reduced to a Fredholm integral equation of the second kind, the unique solvability of which follows from the uniqueness theorem for the problem.…”
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An Efficient and Regularized Modeling Method for Massive Scattered Data Combining Triangulated Irregular Network and Multiquadric Function by Haifei Liu, Yuhao Zhang, Xin Liu, Ijaz Ahmed, Jianxin Liu

“…Subsequently, the divide-and-conquer algorithm is used to build the TIN, and, based on this TIN, the concave hull boundary of the discrete point set is constructed. …”
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A Ship Underwater Radiated Noise Prediction Method Based on Semi-Supervised Ensemble Learning by Xin Huang, Rongwu Xu, Ruibiao Li

“…First, an anti-perturbation regularization is constructed using unlabeled data to optimize the objective function of EL, which is then used in the Genetic algorithm to adaptively optimize base learner weights, to enhance pseudo-label quality. …”
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Research on Detection Methods for Dynamic Ship Targets in Complex Marine Environment From Visible Light Images by Yao Wang, Yi Jiang, Weigui Zeng, Silei Cao

“…Based on this, the article proposes an integrated method combining dynamic target detection algorithms, edge detection operators, and deep learning‐based target detection algorithms. …”
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Rockburst grade evaluation and parameter sensitivity analysis based on SSA-PNN framework: Considering rock mass strength. by Xiaoyan Zhou, Yimin Jiang, Zhenyi Wang, Yalei Wang

“…Furthermore, SSA (Sparrow search algorithm) and probabilistic neural network (PNN) were used to construct a rockburst grade evaluation network, and the sensitivity of rockburst grade evaluation parameters was therefore analyzed. …”
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Unmanned aerial vehicle image stitching based on multi‐region segmentation by Weidong Pan, Anhu Li, Xingsheng Liu, Zhaojun Deng

“…Compared to several popular image stitching algorithms in real experiments, the proposed method can essentially prevent the seamline from crossing significant ground objects to ensure the integrity of structural objects while achieving satisfactory accuracy and efficiency during the UAV image stitching process.…”
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Predicting Radiation Esophagitis in Patients Undergoing Synchronous Boost Radiotherapy Post-Breast-Conserving Surgery by Huai-wen Zhang, Yi-ren Wang, Jingao Li, Wei Huang, Bin Xu, Hao-wen Pang, Chun-ling Jiang

“…This study constructed a predictive model for occurrence of radiation esophagitis during breast-cancer radiotherapy. 308 breast-cancer patients were analyzed. …”
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Allosteric communication occurs via networks of tertiary and quaternary motions in proteins. by Michael D Daily, Jeffrey J Gray

“…We argue that cyclic topology of these networks is necessary for allosteric communication. An automated algorithm identifies rigid bodies from the displacement between the inactive and the active structures and constructs "quaternary networks" from these rigid bodies and the substrate and effector ligands. …”
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Robust Formation Control for Unmanned Ground Vehicles Using Onboard Visual Sensors and Machine Learning by Mingfei Li, Haibin Liu, Feng Xie

“…To further enhance formation control stability, we constructed a belief state encoder (BSE) based on convolutional neural networks, which effectively integrates visual perception and proprioceptive information. …”
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scGRN-Entropy: Inferring cell differentiation trajectories using single-cell data and gene regulation network-based transfer entropy. by Rui Sun, Wenjie Cao, ShengXuan Li, Jian Jiang, Yazhou Shi, Bengong Zhang

“…In scGRN-Entropy, an undirected graph representing state transitions between cells is constructed by integrating both static relationships in gene expression space and dynamic relationships in the GRN space. …”
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Patterns of Open Innovation Between Industry and University: A Fuzzy Cluster Analysis Based on the Antecedents of Their Collaboration by Marius Băban, Călin Florin Băban

“…Using the typical value of the fuzzifier factor of this algorithm equal to 2, three distinct clusters were identified with respect to these antecedents as low, insecure, and responsive open innovators. …”
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Small-grid urban flood prediction model using Twitter data and population GPS data - an example of the 2019 Nagano city flood by Yifan Yang, Naoki Ohira, Hideomi Gokon

“…In this study, a small-grid urban flood prediction model integrating Twitter data and population GPS data was constructed using the 2019 Nagano City flood as an example, and the validity of these two data for the model was determined. …”
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Verifiable secure aggregation scheme for privacy protection in federated learning networks by Wujun Yao, Tanping Zhou, Yiliang Han, Xiaolin Wang

“…Initially, we construct a functional reuse private key ring generation algorithm, enabling clients to encrypt and protect their private gradients using the private key ring. …”
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