Efficient Hyperspectral Video Reconstruction via Dual-Channel DMD Encoding by Mingming Ma, Yi Niu, Dahua Gao, Fu Li, Guangming Shi

“…Hyperspectral video acquisition requires a precise balance between spectral and temporal resolution, often achieved through compressive sampling using two-dimensional detectors and spectral reconstruction algorithms. However, the reliance on spatial light modulators for coding reduces optical efficiency, while complex recovery algorithms hinder real-time reconstruction. …”
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Real-time Detection of Imperfect Wheat Grains on Wheat Pile Surface Based on IDS-YOLO by FAN Jiawei, WU Lan, YAN Jingjing

“…Experimental results demonstrated that the improved IDS-YOLO algorithm achieved a balance between detection speed and accuracy, with an average increase of 6.2% in mean average precision (mAP) when compared with other benchmark algorithms. …”
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Genetic optimization–based scheduling in maritime cyber physical systems by Tingting Yang, Hailong Feng, Jian Zhao, Ruilong Deng, Ying Wang, Zhou Su

“…In order to cope with the computation complexity of traditional scheduling algorithms in intermittent infostations scenario, time-capacity mapping method is exploited to transfer it to a continue scenario when classic scheduling algorithms could be utilized with lower time complexity. …”
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Prediction of Winter Wheat Parameters with Planet SuperDove Imagery and Explainable Artificial Intelligence by Gabriele De Carolis, Vincenzo Giannico, Leonardo Costanza, Francesca Ardito, Anna Maria Stellacci, Afwa Thameur, Sergio Ruggieri, Sabina Tangaro, Marcello Mastrorilli, Nicola Sanitate, Simone Pietro Garofalo

“…Different machine learning (ML) algorithms were trained and compared using spectral band data and calculated vegetation indices (VIs) as predictors. …”
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Explainable machine learning model for predicting decline in platelet count after interventional closure in children with patent ductus arteriosus by Song-Yue Zhang, Yi-Dong Zhang, Hao Li, Qiao-Yu Wang, Qiao-Fang Ye, Xun-Min Wang, Tian-He Xia, Yue-E He, Xing Rong, Ting-Ting Wu, Rong-Zhou Wu

“…Amongst the four ML algorithms, the RF model achieved the greatest AUC. …”
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Prediksi Stok dan Pengaturan Tata Letak Barang Menggunakan Kombinasi Algoritma Triple Exponential Smoothing dan FP-Growth by Kristoko Dwi Hartomo, Sri Yulianto Prasetyo, Rahmat Abadi Suharjo

“…Data processing in this research is called data mining using FP-Growth and Triple Exponential Smoothing algorithms. FP-Growth algorithm to find out user behavior patterns can be used to develop Triple Exponential Smoothing decisions and algorithms which are forecasting algorithms for inventory items. …”
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Playing hide and seek with primates: A comparative study of Theory of Mind by Aurore San‑Galli, Marie Devaine, Cinzia Trapanese, Shelly Masi, Sébastien Bouret, Jean Daunizeau

“…In fact, the location of the food was chosen by learning algorithms, some of which endowed with artificial ToM. …”
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Testing the reliability of global surface temperature reconstructions of the Last Glacial Cycle with pseudo-proxy experiments by J.-P. Baudouin, N. Weitzel, M. May, L. Jonkers, A. M. Dolman, K. Rehfeld, K. Rehfeld

“…Beyond the instrumental period, reconstructions rely on local proxy temperature records and algorithms aggregating these records. Here, we propose to establish standards for evaluating the performance of such reconstruction algorithms. …”
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Properties of solutions of optimization problems for set functions by Slawomir Dorosiewicz

“…It makes possible the applications of various algorithms for these optimization problems for finding conditional extrema of set functions.…”
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Fixed time competing risk model by Audronė Jakaitienė

“… The competing risks under multinomial regression logit model is analyzed. The algorithms and software are made for this model in order to get estimation of parameters. …”
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A decoding scheme for the 4-ary lexicodes with D=3 by D. G. Kim, H. K. Kim

“…We introduce the algorithms for basis and decoding of quaternary lexicographic codes with minimum distance d=3 for an arbitrary length n.…”
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Fractal multiwavelets related to the cantor dyadic group by W. Christopher Lang

“…Orthogonal wavelets on the Cantor dyadic group are identified with multiwavelets on the real line consisting of piecewise fractal functions. A tree algorithm for analysis using these wavelets is described. …”
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Incorporating Machine Learning into Vibration Detection for Wind Turbines by J. Vives

“…Based on the implementation of machine learning algorithms adapted to the different components and faults of wind turbines, this study evaluates different methodologies for monitoring, supervision, and fault diagnosis.…”
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Some Results on Strictly Pseudocontractive Nonself-Mappings and Equilibrium Problems in Hilbert Spaces by Yan Hao, Sun Young Cho

“…Strong convergence theorems of common elements are established based on hybrid projection algorithms in the framework of real Hilbert spaces.…”
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Models of idealized films and optimal networks relations between the problems and simulation results by Vydūnas Šaltenis

“…The simulation of wet films was used in algorithms and software for solving the Steiner prob­lem. …”
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Better Evidence and UpToDate Training Module 3: Additional UpToDate Functionality by Kabale University Library

“…This module explains Drug Database and Drug Interactions,How to use Clinical Calculators and Graphics and Algorithms…”
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Image Encryption Method Based on Three-Dimensional Chaotic Systems and V-Shaped Scrambling by Lei Wang, Wenjun Song, Jiali Di, Xuncai Zhang, Chengye Zou

“…With the increasing importance of securing images during network transmission, this paper introduces a novel image encryption algorithm that integrates a 3D chaotic system with V-shaped scrambling techniques. …”
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Suppressing the Endogenous Negative Influence Through Node Intervention in Social Networks by Satoshi Furutani, Tatsuhiro Aoshima, Toshiki Shibahara, Mitsuaki Akiyama, Masaki Aida

“…We prove that this problem is NP-hard and propose approximation algorithms to identify optimal intervention nodes that minimize the negative influence. …”
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Human versus Computer Controlled Selection of Ventilator Settings: An Evaluation of Adaptive Support Ventilation and Mid-Frequency Ventilation by Eduardo Mireles-Cabodevila, Enrique Diaz-Guzman, Alejandro C. Arroliga, Robert L. Chatburn

“…There are modes of mechanical ventilation that can select ventilator settings with computer controlled algorithms (targeting schemes). Two examples are adaptive support ventilation (ASV) and mid-frequency ventilation (MFV). …”
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Critical Segments Identification for Link Travel Speed Prediction in Urban Road Network by Xiaolei Ru, Xiangdong Xu, Yang Zhou, Chao Yang

“…A large variety of algorithms were proposed to improve the prediction accuracy. …”
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