Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…Both methods are optimized using a composite gradient descent algorithm combining standard gradient steps with proximal updates. …”
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Transient Protection of UHV Busbars Based on Standardized VMD-Shannon Entropy by Zhenwei Guo, Yongyan Jiang, Zebo Huang, Yangsheng Liu

“…Additionally, standardized fault characteristics representation ensures robustness across diverse conditions, which differentiate 36.1% of cross-partial fault characterization data, while also resolving 33.5% of false activations and 11.1% of rejected activations. …”
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A Beyond 5G OTFS Waveform Radio for Smart Hospital: PAPR Reduction in OTFS Using the Cuckoo Search–Based PTS Method by Arun Kumar, Aziz Nanthaamornphong

“…In this study, we propose a Cuckoo search (CS) partial transmission sequence (PTS) genetic algorithm known as PTS + CS to reduce the PAPR of the OTFS waveform under the Rician and Rayleigh channels with 256 subcarriers. …”
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Bayesian Computation Methods for Inference in Stochastic Kinetic Models by Eugenia Koblents, Inés P. Mariño, Joaquín Míguez

“…For example, the nonlinear population Monte Carlo (NPMC) algorithm has yielded promising results with a low dimensional SKM (the classical predator-prey model). …”
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Robust Low-Overlap Point Cloud Registration via Displacement-Corrected Geometric Consistency for Enhanced 3D Sensing by Xin Wang, Qingguang Li

“…These advances establish a new paradigm for robust 3D sensing in real-world applications where partial sensor data is prevalent.…”
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Gentle Introduction to Artificial Intelligence for High-School Students Using Scratch by Julian Estevez, Gorka Garate, Manuel Grana

“…In this paper we focus on innovative ways to introduce high school students to the fundamentals and operation of two of the most popular AI algorithms. We describe the elements of a workshop where we provide an academic use-create-modify scaffolding where students work on the Scratch partial coding of the algorithms so they can explore the behavior of the algorithm, gaining understanding of the underlying computational thinking of AI processes. …”
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Small traffic sign recognition method based on improved YOLOv7 by Bo Meng, Weida Shi

“…Initially, The Spatial Pyramid Pooling Fast and Cross-Stage Partial Connection (SPPFCSPC) strategy was used to improve the feature extraction of small targets. …”
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Sustainable analysis of COVID-19 Co-packaged paxlovid: exploring advanced sampling techniques and multivariate processing tools by Shymaa S. Soliman, Nisreen F Abo- Talib, Mohamed R. Elghobashy, Mona A. Abdel Rahman

“…During the current study, a pioneering statistical technique namely, Latin Hypercube Sampling (LHS) was integrated with different multivariate chemometric models namely; Partial Least Squares (PLS), Genetic Algorithm‑Partial Least Squares (GA-PLS), Artificial Neural Networks (ANN), and Multivariate Curve Resolution‑Alternating Least Squares (MCR-ALS). …”
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Rapid Lactic Acid Content Detection in Secondary Fermentation of Maize Silage Using Colorimetric Sensor Array Combined with Hyperspectral Imaging by Xiaoyu Xue, Haiqing Tian, Kai Zhao, Yang Yu, Ziqing Xiao, Chunxiang Zhuo, Jianying Sun

“…Subsequently, the acquired spectral data were subjected to preprocessing through five distinct methods before being modeled using partial least squares regression (PLSR). The coronavirus herd immunity optimizer (CHIO) algorithm was introduced to screen three color-sensitive dyes that are more sensitive to changes in lactic acid content of maize silage. …”
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A Study of Mixed Non-Motorized Traffic Flow Characteristics and Capacity Based on Multi-Source Video Data by Guobin Gu, Xin Sun, Benxiao Lou, Xiang Wang, Bingheng Yang, Jianqiu Chen, Dan Zhou, Shiqian Huang, Qingwei Hu, Chun Bao

“…The video data were processed with an image detection algorithm based on the YOLO convolutional neural network and a video tracking algorithm using the DeepSORT multi-target tracking model, extracting data on traffic flow, density, speed, and rider characteristics. …”
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Artificial Neural Network Prediction on negative and positive activation energy of magnetohydrodynamic nanofluid flow with multiple slips by Shovan Sarkar, Hiranmoy Mondal, Prabir Kumar Kundu

“…Another important matter to discuss here that we have used feed-forward back-propagation multilayer perceptron artificial neural network with Levenberg-Marquard algorithm as the training algorithm to predict the Sherwood number for both activation energy values 1 and -1. …”
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Comparison of sample preparation methods for higher heating values in various sugarcane varieties using near-infrared spectroscopy by Kantisa Phoomwarin, Khwantri Saengprachatanarug, Jetsada Posom, Seree Wongpichet, Kittipong Laloon, Arthit Phuphaphud

“…Spectral data were pre-processed using seven techniques to minimize noise, and four variable selection algorithms–Variable Importance in Projection, Successive Projection Algorithm, Genetic Algorithm, and correlation-based selection via Partial Least Squares Regression–were employed to improve modelling accuracy.In parallel, four machine learning models–AdaBoost Regressor, Gradient Boosting, K-Nearest Neighbors, and Random Forest–were applied to the same dataset for Higher heating value prediction. …”
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MIF-YOLO: An Enhanced YOLO with Multi-Source Image Fusion for Autonomous Dead Chicken Detection by Jiapan Li, Yan Zhang, Yong Zhang, Hongwei Shi, Xianfang Song, Chao Peng

“…The loss function of the model is refined through the implementation of Modified Partial Distance-IoU (MPDIoU), facilitating a more nuanced evaluation of the overlap of objects. …”
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Automatic Detection and Classification of Dental Anomalies and Tooth Types Using Transformer-Based Yolo With GA Optimization by Sanabam Bineshwor Singh, Anuradha Laishram, Khelchandra Thongam, Khumanthem Manglem Singh

“…A significant enhancement is the integration of a multi-head self-attention block into the Cross Stage Partial Darknet (CSPDarknet) backbone within the YOLOv4 architecture. …”
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Uncertainty Quantification in Shear Wave Velocity Predictions: Integrating Explainable Machine Learning and Bayesian Inference by Ayele Tesema Chala, Richard Ray

“…The study utilizes an Extreme Gradient Boosting (XGBoost) algorithm coupled with Shapley Additive Explanations (SHAPs) and partial dependency analysis to identify key geotechnical parameters influencing Vs predictions. …”
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Improved Quantum Linear Attacks and Application to CAST by Kaveh Bashiri, Xavier Bonnetain, Akinori Hosoyamada, Nathalie Lang, André Schrottenloher

“…(ToSC 2016), which combine a linear distinguisher with a guess of a partial key. However, the most efficient classical attacks use the framework proposed by Collard et al. …”
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SR-DETR: Target Detection in Maritime Rescue from UAV Imagery by Yuling Liu, Yan Wei

“…This study proposes an enhanced SR-DETR algorithm aimed at improving the detection of individuals who have fallen overboard. …”
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Thermal radiation and diffusion effects on MHD sisko fluid flow over a nonlinearly stretchable porous sheet by V. Adilakshmi, Ali Akgül, G. Venkata Ramana Reddy, Murad Khan Hassani

“…By applying a similarity transformation, the governing nonlinear partial differential equations morph into ordinary differential equations, which are deftly tackled using the Newton–Raphson shooting method in tandem with the Runge–Kutta–Fehlberg algorithm. …”
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Real-Time Gas Path Fault Diagnosis for Aeroengines Based on Enhanced State-Space Modeling and State Tracking by Siyan Cao, Hongfu Zuo, Xincan Zhao, Chunyi Xia

“…A hybrid identification algorithm is proposed, synergizing partial derivative analysis with least squares fitting, which uniquely combines non-iterative perturbation advantages with high-precision least squares. …”
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Chaos game optimization for extracting global MPP of PV System based high-efficiency triple-junction solar cell by Houssam Eddine Ghadbane, Hegazy Rezk, Aissa Benhammou, Ahmed F. Mohamed

“…A comparison with another optimzation algorithms also considered and the results confirmed the superiority of CGO compared with other algorithms. …”
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