Lightweight YOLO models for object detection based on low-rank decomposition by LIN Delü, LIU Chang, CHEN Qi, ZENG Yang, HE Kun

“…This paper proposed a parameter compression algorithm based on low-rank decomposition for the You Only Look Once (YOLO) series of object detection models, aiming to overcome the limited versatility of current lightweight treatment methods for these models. …”
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Multi-Objective Machine Learning Optimization of Cylindrical TPMS Lattices for Bone Implants by Mansoureh Rezapourian, Ali Cheloee Darabi, Mohammadreza Khoshbin, Irina Hussainova

“…The optimization was performed via the NSGA-II algorithm to maximize mechanical performance (U and EA) and surface efficiency (SA/VR), while filtering for biologically relevant RD values (20–40%). …”
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Exploring alumina nanoparticle deposition in heat exchangers with hexagonal tubes: A hybrid approach integrating numerical simulations and machine learning by Seyed Hamed Godasiaei, Pouyan Talebizadehsardari, Amir Keshmiri

“…The model was developed using Python, integrating traditional Eulerian-Lagrangian approaches with advanced neural network algorithms, including Deep Neural Networks (DNN) and Long Short-Term Memory (LSTM) models. …”
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Near-Field Analysis of Extremely Large-Scale MIMO: Power, Correlation, and User Selection by Xiangyu Cui, Ki-Hong Park, Mohamed Slim Alouini

“…Finally, with the modification by our analytical result, we show a dramatic speed-up of the previous user selection algorithm, while reaching the same sum rate.…”
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Finite Integration Method with Chebyshev Expansion for Shallow Water Equations over Variable Topography by Ampol Duangpan, Ratinan Boonklurb, Lalita Apisornpanich, Phiraphat Sutthimat

“…We present a numerical algorithm combining the finite integration method with Chebyshev polynomial expansion (FIM-CPE) to solve one- and two-dimensional SWEs. …”
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Event Camera Denoising Using Asynchronous Spatio-Temporal Event Denoising Neural Network by W. Wu, H. Yao, C. Zhai, Z. Dai, X. Zhu

“…Comparative evaluations conducted on multiple datasets against state-of-the-art methods demonstrate the remarkable efficacy and robustness of our proposed algorithm in noise removal while retaining meaningful event information within the scene.…”
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Quantum-assisted hλ-adaptive finite element method by R.H. Drebotiy, H.A. Shynkarenko

“…We introduce a novel finite element scheme that combines classical and quantum algorithms. In this approach, the primary mesh adaptation loop is managed by a classical computer, while a specific stabilization procedure is executed on a quantum computer. …”
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Deep Point Cloud Facet Segmentation and Applications in Downsampling and Crop Organ Extraction by Yixuan Wang, Chuang Huang, Dawei Li

“…Second, to solve the insufficient precision in organ segmentation within crop point clouds, a facet growth-based segmentation algorithm is designed. The network first predicts the edge scores for the facets to determine the seed facets. …”
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Acceleration of Image Classification and Object Tracking by the Intel Neural Compute Stick 2 with Power Efficiency Evaluation on Raspberry Pi 4B by Tianyu Gao, Jozsef Suto

“…A single model is used for image recognition, while two models are deployed for object tracking. …”
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Urban Multi-Scenario Land Use Optimization Simulation Considering Local Climate Zones by Jie Chen, Zikun Dong, Ruijie Shi, Geng Sun, Ya Guo, Zhuopeng Peng, Min Deng, Kaiqi Chen

“…The research employs a genetic algorithm to optimize the LCZ quantity structure in order to improve the urban temperature environment. …”
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Beam Tilt Aberration Detection of the Seven-Unit Phased Fiber Laser Array by Xin Yu, Xingyue Wang, Jing Liang, Cai Liu, Xiaolong Ni, Suping Bai, Jiasu Li, Zeping Liu, Lijie Hou

“…It could not only directly detect the beam’s tilt angle but also maintained detection accuracy while reducing the algorithm complexity.…”
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Association between neutrophil percentage to albumin ratio and cardiovascular disease in the metabolic syndrome population by Chengjun Li, Hongrui Lu, Haorui Chu, Wei Peng, Meiling Xu

“…After detecting the nonlinearity, recursive algorithms were utilized to calculate the inflection point and effects before and after the point. …”
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Multi-criteria placement and sizing of utility-scale grid forming converters by Francisco S. Fernandes, João Peças Lopes, Carlos L. Moreira

“…This work proposes a robust methodology for the location and sizing of grid forming (GFM) converters that simultaneously considers the solution costs and the security gains while accounting for the TSO non-linear cost-security sensitivity. …”
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Semiotics of Medical Discourse by Yulia N. Ebzeeva, Natalia M. Dugalich

“…As an object of decoding in polycode texts on medical topics, we examined individual examples of the use of precedent phenomena. The algorithm for analyzing the semiotic system of medical discourse can be used to analyze the semiotic system of other types of institutional discourse.…”
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Assessment of Melon Fruit Nutritional Composition Using VIS/NIR/SWIR Spectroscopy Coupled with Chemometrics by Dimitrios S. Kasampalis, Pavlos Tsouvaltzis, Anastasios S. Siomos

“…Variable selection using the genetic algorithm (GA) successfully identified the spectral regions critical for each nutritional parameter at the pedicel, equatorial, and blossom end areas. …”
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Small-coupling dynamic cavity: A Bayesian mean-field framework for epidemic inference by Alfredo Braunstein, Giovanni Catania, Luca Dall'Asta, Matteo Mariani, Fabio Mazza, Mattia Tarabolo

“…In its efficient formulation, the computational cost per iteration of the SCDC algorithm is linear in the duration of the epidemic dynamics. …”
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Efficient curve fitting with penalized B-splines for oceanographic and ecological applications by Kwan-Young Bak, Dong-Young Lee, Ju-Seong Lee, Hee-Jung Jee, R. Jisung Park, Ja-Yong Koo, Jae-Hwan Jhong

“…By leveraging group penalties and the Alternating Direction Method of Multipliers (ADMM) algorithm, the method ensures consistency across response variables and computational efficiency. …”
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Fault Diagnosis of Induction Motors Using Recurrence Quantification Analysis and LSTM with Weighted BN by Dengyu Xiao, Yixiang Huang, Chengjin Qin, Haotian Shi, Yanming Li

“…To cover those shortcomings, in this paper, two manual feature learning approaches are embedded into a deep learning algorithm, and thus, a novel fault diagnosis framework is proposed for three-phase induction motors with a hybrid feature learning method, which combines empirical statistical parameters, recurrence quantification analysis (RQA) and long short-term memory (LSTM) neural network. …”
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Online Tool Wear Monitoring via Long Short-Term Memory (LSTM) Improved Particle Filtering and Gaussian Process Regression by Hui Xu, Hui Xie, Guangxian Li

“…However, traditional Gaussian Process Regression (GPR) models are constrained by linear assumptions, while conventional filtering algorithms struggle in noisy environments with low signal-to-noise ratios. …”
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Improving Workplace Safety and Health Through a Rapid Ergonomic Risk Assessment Methodology Enhanced by an Artificial Intelligence System by Adrian Ispășoiu, Ioan Milosan, Camelia Gabor

“…The comfort of a worker while performing any activity is extremely important. …”
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