Collocation ranking: frequency vs semantics by Nikola Ljubešić, Nataša Logar, Iztok Kosem

“…The results were somewhat inconsistent; while the quantitative evaluation confirmed that the machine-learning-based approach produced better collocate ranking results than the frequency-based one, lexicographers in most cases considered the listings of collocates of both methods very similar. …”
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Optimization of Bandwidth Allocation and UAV Placement in Active RIS-Assisted UAV Communication Networks with Wireless Backhaul by Thi-Thuy-Minh Tran, Binh-Minh Vu, Oh-Soon Shin

“…In this paper, we present a novel design for unmanned aerial vehicle (UAV) communication networks with wireless backhaul, where an active reconfigurable intelligent surface (ARIS) is deployed to improve connections between a UAV and multiple users, while mitigating channel impairments in complex environments. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…However, data encryption, while ensuring privacy and security, has also become a means for illegal content to evade network supervision. …”
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Analysis and validation of diagnostic biomarkers and immune cell infiltration characteristics in osteoarthritis by integrating bioinformatics and machine learning by Tianyang Li, Jinpeng Wei, Hua Wu, Chen Chen

“…ObjectiveExosomes as important carriers of intercellular communication have frequently appeared in recent studies related to osteoarthritis (OA), while the specific mechanism of exosome action in osteoarthritis remains unclear. …”
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Enconv1d Model Based on Pseudolite System for Long-Tunnel Positioning by Changgeng Li, Yuting Zhang, Changshui Liu

“…However, in confined indoor environments such as kilometer-long tunnels, where vehicles move at high speeds, traditional pseudolite algorithms struggle to establish accurate physical models linking signals to spatial domains. …”
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Earthquake Design of Reinforced Concrete Buildings Using NSGA-II by Herian A. Leyva, Edén Bojórquez, Juan Bojórquez, Alfredo Reyes-Salazar, José H. Castorena, Eduardo Fernández, Manuel A. Barraza

“…For this purpose, genetic algorithms (GAs) are used through the technique NSGA-II (Nondominated Sorting Genetic Algorithm), thus a multiobjective procedure with two objective functions is established. …”
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Comparative Analysis of a Quantum SVM With an Optimized Kernel Versus Classical SVMs by Matheus Cammarosano Hidalgo

“…Support Vector Machine (SVM) is a widely used algorithm for classification, valued for its flexibility with kernels that effectively handle non-linear problems and high-dimensional data. …”
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Shadows aspect of rotating black holes in the Einstein-AdS SU(N)-nonlinear sigma model by Mohsen Fathi, Yassine Sekhmani

“…These observations offer a means to distinguish between general relativity and modified gravity theories while providing insights into the astrophysical properties of the observed black holes. …”
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Mechanism and optimization study of bandgap regulation in three-component hexagonal lattice phononic crystals by Bao-hua Yu, Li-ming Lin, Hua-wei Ji

“…The lower bandgap boundary is primarily influenced by the scatterer’s mass, while the upper boundary is determined by the mass of the matrix. …”
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The Classical Model of Type-Token Systems Compared with Items from the Standardized Project Gutenberg Corpus by Martin Tunnicliffe, Gordon Hunter

“…For most items, the Heaps’ index correlates strongly with the low frequency Zipf index in a manner consistent with classical theory, while the high frequency indices are largely uncorrelated. …”
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Enhanced mm-Wave Frequency Up-Conversion via a Time-Varying Graphene Aperture on a Cavity Resonator by Stamatios Amanatiadis, Theodosios Karamanos, Fabrice Lemoult, Nikolaos V. Kantartzis

“…A modified FDTD algorithm is, additionally, used to simulate the time-varying graphene behaviour under different modulation schemes. …”
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Predicting neuronal firing from calcium imaging using a control theoretic approach. by Nicholas A Rondoni, Fan Lu, Daniel B Turner-Evans, Marcella Gomez

“…Leveraging modeling frameworks from chemical reaction networks (CRN) coupled with a control theoretic approach, a new algorithm is presented leveraging a fully deterministic ordinary differential equation (ODE) model. …”
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Examination the effects of Stefan blowing on chemical reactive flow of hybrid nanofluid over an infinite disk with Cattaneo-Christove heat flux model by Munawar Abbas, Nargis Khan, M. S. Hashmi, Shahram Rezapour, Mustafa Inc

“…The findings show that while fluid flow increases as the Stefan blowing factor rises, temperature, heat, and mass transmission rate decrease.…”
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Signal detection of massive MIMO systems using LSTM-based signal detectors for beyond 5G radio by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…The conventional zero force equalizer (ZFE), Maximum likelihood detection (MLD), Minimum mean square error (MMSE), and so on upsurge the complexity while detecting the signal. In this article, we proposed a signal detection algorithm based on a long short-term memory (LSTM) neural network known as MLD-LSTM, MMSE-LSTM, and ZFE-LSTM for MIMO frameworks (16 X 16, 256 X 256, and 512 X 512). …”
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UAV Small Target Detection Model Based on Dual Branches and Adaptive Feature Fusion by Guogang Wang, Mingxing Gao, Yunpeng Liu

“…The experimental results show that the model algorithm performs well in the VisDrone2019 dataset. …”
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A Colored Traveling Salesman Problem with Varying City Colors by Xianghu Meng, Jun Li, MengChu Zhou

“…Namely, each salesman has a single color while every city has one to multiple salesmen’s colors, thus allowing salesmen to visit exactly once the cities of their colors. …”
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Research on Accelerated Degradation Test Design and Life Prediction for Aluminum Electrolytic Capacitor by YANG Tao, WANG Xu, XIAO Jianglin

“…By comparing the degradated capacitance predicted by BP neural network with the measured data of the degradation test and the predicted value of the least squares linear fitting of the experimental data, the results show that the prediction error of capacitance based on the BP neural network is within 3%, while the predicted value of the least squares linear fitting is around 6%, which verifies the superiority of the BP neural network life prediction algorithm, and provides strong support for development and application of the subsequent on-line monitoring technology of board level capacitors.…”
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Rolling Bearing Fault Diagnosis Based on VMD-DWT and HADS-CNN-BiLSTM Hybrid Model by Luchuan Shao, Bing Zhao, Xutao Kang

“…The vibration signals are first reconstructed using a genetic algorithm (GA)-optimized VMD and particle swarm optimization (PSO)-optimized DWT for noise suppression. …”
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A Hybrid Solvers Enhanced Integral Equation Domain Decomposition Method for Modeling of Electromagnetic Radiation by Ran Zhao, Jun Hu, Han Guo, Ming Jiang, Zai-ping Nie

“…The MLFMA is used to capture propagating wave physics in large, smooth regions, while H-matrices are used to capture evanescent wave physics in small regions which are discretized with dense meshes. …”
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Building Equi-Width Histograms on Homomorphically Encrypted Data by Dragoș Lazea, Anca Hangan, Tudor Cioara

“…Our method achieves results consistent with plaintext-based outlier detection while maintaining reasonable computational overhead compared to those reported in the existing literature.…”
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