Visual Navigation for Lunar Missions Using Sequential Triangulation Technique by Abdurrahim Muratoglu, Halil Ersin Söken, Ozan Tekinalp

“…The noisy LoS data are processed using the Extended Kalman Filter (EKF). Simulation results demonstrate that, starting from a random initial location, the proposed navigation system can be used for navigating translunar trajectories with the fast and accurate algorithm employed.…”
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Applying Fourier Neural Operator to insect wingbeat sound classification: Introducing CF-ResNet-1D by Béla J. Szekeres, Máté Natabara Gyöngyössy, János Botzheim

“…Mosquitoes and other insects are vectors of severe diseases, posing significant health risks to millions worldwide yearly. …”
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Optimization of mechanical and safety properties by designing interface characteristics within energetic composites by Guijun Wang, Yanqing Wu, Kun Yang, Quanzhi Xia, Fenglei Huang

“…In this work, a mesostructure model reflecting the real internal structure of PBX is established through image digital modeling and vectorization processing technology. The microscopic molecular structure model of PBX is constructed by molecular dynamics, and the interface bonding energy is calculated and transferred to the mesostructure model. …”
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Arabic web pages clustering and annotation using semantic class features by Hanan M. Alghamdi, Ali Selamat, Nor Shahriza Abdul Karim

“…Studies on sentiment text mining have been very limited in the Arabic language because they need to involve deep semantic processing. Therefore, in this paper, we aim to retrieve machine-understandable data with the help of a Web content mining technique to detect covert knowledge within these data. …”
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Robust speech parametrization based on pitch synchronized cepstral solutions by Stanisław Gmyrek, Robert Hossa

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Functionalisation of Virus-Like Particles Enhances Antitumour Immune Responses by Katrin Kramer, Farah Al-Barwani, Margaret A. Baird, Vivienne L. Young, David S. Larsen, Vernon K. Ward, Sarah L. Young

“…This study showed that functionalisation of RHDV VLP by addition of an epitope-processing linker and mannosylation of the surface facilitates the efficacy of VLP as vaccination vectors for tumour immunotherapy.…”
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A Sliding Window Data Compression Method for Spatial-Time DOA Estimation by Pin-Jiao Zhao, Guo-Bing Hu, Li-Wei Wang

“…Then, a sliding window data compression processing is performed on the array output matrix to realize fast calculation of time average function, and the computational burden has been reduced accordingly. …”
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Construction and Recording Method of a Three-Dimensional Model to Automatically Manage Thermal Abnormalities in Building Exteriors by Jonghyeon Yoon, Sangjun Hwang, Kyonghoon Kim, Sanghyo Lee

“…Conventional 3D-modeling methods for thermal imaging management either require the processing of large volumes of data due to the use of thermal distribution information from entire image regions or involve increased processing time when architectural drawings are unavailable. …”
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Image-based Artificial Intelligence-driven modelling for blank shape optimisation in sheet metal forming by Haosu Zhou, Haoran Li, Yingxue Zhao, Peter R.N. Childs, Nan Li

“…Design for manufacturing is essential to fully exploit the potential of emerging materials and processing technologies. However, traditional trial-and-error optimisation often exhibits inferior performance in manufacturability-driven problems, particularly when handling complex shapes. …”
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FIRST RESULTS ON THE DIRECTION STATISTICS OF PAIRS OF EPICENTERS OF NEIGHBOR EARTHQUAKES ON KAMCHATKA by A. A. Gusev, A. A. Palueva

“…With the catalog of pairs at hand, we constructed distributions of azimuths of link vectors (rose diagrams of directions). In Fig. 3 one can see example histograms and corresponding rose diagrams for two 10-year periods (see Table 1 for definitions and labels of the periods); processing was done using two variants of maximum delay: 0.5 and 5 days. …”
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Localization and Pixel-Confidence Network for Surface Defect Segmentation by Yueyou Wang, Zixuan Xu, Li Mei, Ruiqing Guo, Jing Zhang, Tingbo Zhang, Hongqi Liu

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An Instructional Optimization Method Based on Bidirectional Transformer and Reinforcement Learning by Ran Zhang, Xiaoping Wu, Xude Zhang, Li Xu

“…Transformer layers are employed for feature encoding, while BERT extracts deep semantic representations to form individualized feature vectors. These features are then fused via Transformer-based processing to predict optimal learning content. …”
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Enhancing image retrieval through optimal barcode representation by Rasa Khosrowshahli, Farnaz Kheiri, Azam Asilian Bidgoli, H. R. Tizhoosh, Masoud Makrehchi, Shahryar Rahnamayan

“…Abstract Data binary encoding has proven to be a versatile tool for optimizing data processing and memory efficiency in various machine learning applications. …”
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Application of the Non-Hermitian Singular Spectrum Analysis to the Exponential Retrieval Problem by D. J. Nicolsky, G. S. Tipenko

“…In practical signal processing and its many applications, researchers and engineers try to find a number of harmonics and their frequencies in a time signal contaminated by noise. …”
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Construction and characterization of a novel miniaturized filamentous phagemid for targeted mammalian gene transfer by Shirley Wong, Salma Jimenez, Roderick A. Slavcev

“…Conclusions The use of two separated domains of the f1 ori improves upon a single wildtype origin while still resulting in high titres of miniphagemid gene transfer vectors. Highly pure lysates of miniaturized phagemids could be rapidly obtained in a straightforward procedure without additional downstream processing.…”
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Efficient side lobe level reduction technique for planar antenna arrays by Shimaa M Amer, Ahmed M. Elkhawaga, Ashraf A.M. Khalaf, Amr H. Hussein

“…Consequently, the number of antenna elements is significantly reduced, which in turn minimizes the computational complexity and signal processing time required to synthesize the desired radiation pattern. …”
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Distributed semi-supervised partial multi-dimensional learning via subspace learning by Zhen Xu, Weibin Chen

“…Additionally, the existing MDC algorithms only address scenarios of centralized processing, where all training data must be centrally stored at a single fusion center. …”
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ARK: Aggregation of Reads by K-Means for Estimation of Bacterial Community Composition. by David Koslicki, Saikat Chatterjee, Damon Shahrivar, Alan W Walker, Suzanna C Francis, Louise J Fraser, Mikko Vehkaperä, Yueheng Lan, Jukka Corander

“…The aggregation of reads is a pre-processing approach where we use a standard K-means clustering algorithm that partitions a large set of reads into subsets with reasonable computational cost to provide several vectors of first order statistics instead of only single statistical summarization in terms of k-mer frequencies. …”
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Information extraction from green channel textual records on expressways using hybrid deep learning by Jiaona Chen, Jing Zhang, Weijun Tao, Yinli Jin, Heng Fan

“…Eight entities are designed and proposed in the NER processing for the expressway green channel. three typical pre-trained natural language processing models are utilized and compared to recognize entities and obtain feature vectors, including bidirectional encoder representations from transformer (BERT), ALBERT, and RoBERTa. …”
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An Empirical Configuration Study of a Common Document Clustering Pipeline by Anton Eklund, Mona Forsman, Frank Drewes

“… Document clustering is frequently used in applications of natural language processing, e.g. to classify news articles or creating topic models. …”
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