Comprehensive empirical evaluation of feature extractors in computer vision by Murat ISIK

“…ORB is notably effective on affine-transformed and brightened images, while AKAZE excels in conditions involving blurring, fisheye distortion, image rotation, and perspective distortions. …”
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GPU-Accelerated CNN Inference for Onboard DQN-Based Routing in Dynamic LEO Satellite Networks by Changgeun Yu, Daeyeon Kim, Heoncheol Lee, Myonghun Han

“…This paper addresses the issue of onboard inference for AI-based routing algorithms in dynamic LEO (Low Earth Orbit) satellite networks. …”
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Bayesian linkage analysis of categorical traits for arbitrary pedigree designs. by Abra Brisbin, Myrna M Weissman, Abby J Fyer, Steven P Hamilton, James A Knowles, Carlos D Bustamante, Jason G Mezey

“…LOCate uses a Gibbs sampling approach to assess linkage, incorporating a simulated tempering algorithm for fast mixing. While our treatment is Bayesian, we develop a LOD (log of odds) score estimator for assessing linkage from Gibbs sampling that is highly accurate for simulated data. …”
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RFM Model and K-Means Clustering Analysis of Transit Traveller Profiles: A Case Study by Angela H. L. Chen, Yun-Chia Liang, Wan-Ju Chang, Hsuan-Yuan Siauw, Vanny Minanda

“…Based on big data smart card information, this paper proposes using the RFM and K-means clustering algorithm to analyze and construct mode-switching traveller profiles on MRT and YouBike riders. …”
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Inter-satellite link connection strategy for large-scale low earth orbit satellite networks by YAN Feng, NIE Haojian, XIA Weiwei, SHEN Lianfeng

“…The Grid+ connection strategy, while retaining the Grid connection strategy, allowed satellites to establish cross-satellite connections with satellites in the same orbit or the cross-adjacent orbits. …”
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Efficient RANSAC in 4D Plane Space for Point Cloud Registration by Chang Liu, Chao Liu, Yuming Zhang, Zhongqi Wu, Jianwei Guo

“…3D registration methods based on point-level information struggle in situations with noise, density variation, large-scale points, and small overlaps, while existing primitive-based methods are usually sensitive to tiny errors in the primitive extraction process. …”
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Tent–PSO-Based Unmanned Aerial Vehicle Path Planning for Cooperative Relay Networks in Dynamic User Environments by Shuyue Liu, Wenmao Zhou, Mingwei Qin, Xin Peng

“…The proper planning of UAV paths can improve user coverage while maintaining communication quality. The traditional particle swarm optimization (PSO) algorithm exhibits strong global search capabilities; however, it suffers from challenges such as uneven search coverage owing to the random distribution of the initial particle positions. …”
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Insect Detection Using mm-Waves: Integrated Communication and Biodiversity Sensing Based on Micro-Doppler Effects by Linta Antony, Nicola Marchetti, Ian Donohue, Adam Narbudowicz

“…We use experiments to capture reflected signals from live insects, and introduce a semi-supervised algorithm that automatically detects signal portions exhibiting micro-Doppler effects of wing flapping. …”
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College Student Social Dynamic Analysis and Educational Mechanism Using Big Data Technology by Jing Bai

“…With the advancement of the “big data” technology, college students inadvertently purchase personal advice while taking advantage of the exciting Internet to access information quickly and easily. …”
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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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Improving Performance of QoS Applications for Wireless Networks by Pingping Dong, Jianxin Wang, Jiawei Huang, Haodong Wang, Yi Pan

“…The problem exacerbates when the traffic asymmetry between the uplink and the downlink is present. While prior research works proposed various mechanisms to alleviate the issue, little was done to specifically address the appropriate parameter setting in a real world network. …”
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A Robust Hybrid MRAPID Controller Design for an Underactuated Nonlinear System With Parametric Uncertainty by Ahmed Abduljabbar Mahmood, Mohamed Abderrahim

“…Optimal performance is achieved through parameter tuning via the social spider optimization (SSO) algorithm, and MIT (Massachusetts Institute of Technology) rule criteria are employed to ensure system stability. …”
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Research on Default Prediction for Credit Card Users Based on XGBoost-LSTM Model by Jing Gao, Wenjun Sun, Xin Sui

“…The accuracy of the XGBoost model depends on the degree of expertise in feature extraction, while the LSTM algorithm can achieve higher accuracy without feature extraction. …”
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Consumer-Centered Collaborative Governance of Regional Business Environment by Tingting Xiang, Hongzhi Lin

“…The experimental results confirm the effectiveness and practicality of the proposed algorithm. The findings reveal that the bi-level programming model, integrating simulated annealing and projection algorithms, provides support for governments in accurately determining investment allocation strategies, enabling the simultaneous maximization of consumer welfare and optimization of the business environment. …”
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Remarks on the Relationship Between Fractal Dimensions and Convergence Speed by Jiaqi Qiu, Yongshun Liang

“…Specifically, the Box dimension determines the global convergence properties of sequences, while the Assouad dimension characterizes the local constraints on the speed of convergence. …”
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A Novel Method for Comparing Building Height Hierarchies by Jun Xie, Bin Wu

“…The approach then uses the contour tree algorithm to abstract and visualize these hierarchies. …”
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PAPR Reduction Approach Based on Channel Estimation Pilots for Next Generations Broadcasting Systems by Anh-Tai Ho, Jean-François Helard, Youssef Nasser, Yves Louet

“…Its performance is compared to the DVB-T2 PAPR gradient algorithm and to the second-order cone programming (SOCP) competitive technique proposed in the literature. …”
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An interpretable fault diagnosis method for aeroengine bearings based on belief rule based with a dynamic power set by Jinyuan Li, Wei He, Hailong Zhu

“…The results show that the proposed model effectively solves the above problem while achieving 99% accuracy.…”
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Block encoding bosons by signal processing by Christopher F. Kane, Siddharth Hariprakash, Neel S. Modi, Michael Kreshchuk, Christian W Bauer

“…Block Encoding (BE) is a crucial subroutine in many modern quantum algorithms, including those with near-optimal scaling for simulating quantum many-body systems, which often rely on Quantum Signal Processing (QSP). …”
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Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method by Youming Wang, Didi Qing

“…A model predictive control (MPC) method based on recursive backpropagation (RBP) neural network and genetic algorithm (GA) is proposed for a class of nonlinear systems with time delays and uncertainties. …”
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