Development and validation of identification algorithms for five autoimmune diseases using electronic health records: a retrospective cohort study in China by Junting Yang, Junting Yang, Yunxiao Wu, Yunxiao Wu, Jinxin Guo, Jinxin Guo, Xiaoxuan Wang, Xiaoxuan Wang, Xin Gao, Xin Gao, Xin Chen, Xin Chen, Mengdi Zhang, Mengdi Zhang, Jin Yang, Zuojing Liu, Yan Liu, Zhike Liu, Zhike Liu, Siyan Zhan, Siyan Zhan, Siyan Zhan, Siyan Zhan

“…For T1D, the final algorithm utilizing both admission and outpatient records yielded satisfactory results (sensitivity 84.09%, PPV 74.00%).ConclusionsThis study presents the first validated algorithms for identifying autoimmune diseases using EHR data in China, demonstrating satisfactory performance (PPV >70%) across all diseases. …”
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Daily Runoff Prediction Model Based on Multivariate Variational Mode Decomposition and Correlation Reconstruction by DING Jie, TU Peng-fei, FENG Yu, ZENG Huai-en

“…Then, the Microbial Enhanced Algorithm-Back Propagation(MEA-BP) model was used for multiple predictions, and the average values were taken, and evaluation indicators were employed to assess the seven operating conditions. …”
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Performance Optimization and Comprehensive Analysis of Binary Nutcracker Optimization Algorithm: A Case Study of Feature Selection and Merkle–Hellman Knapsack Cryptosystem by Mohamed Abdel-Basset, Reda Mohamed, Ibrahim M. Hezam, Karam M. Sallam

“…The experiential findings show that BINOA is better than the classical BNOA and the other rival optimizers for both the 0-1 knapsack problem and attacking MHKC and is on par with some algorithms, like the genetic algorithm for feature selection.…”
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Design and Numerical Validation of an Algorithm for the Detumbling and Angular Rate Determination of a CubeSat Using Only Three-Axis Magnetometer Data by Stefano Carletta, Paolo Teofilatto

“…The algorithm is designed to produce a magnetic dipole moment which is constantly orthogonal to the geomagnetic field vector, independently of both the attitude and the angular rate of the rigid spacecraft. …”
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The Effect of Data Conversion Methods (Naive Bayes, C5.0 & Support Vector Machine) on the Performance of Classification Algorithms in Data Mining by Hussein Ali Attallah, Ahmed Al-Asadi, Doctor, Sadeer Sadeq

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The Present as Platform by Chris Ingraham

“… Recent interest in platform studies has called attention to the ways technologies both afford and constrain creative ways of participating in social and cultural life. …”
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Identification of significant bio-markers from high-dimensional cancerous data employing a modified multi-objective meta-heuristic algorithm by Prajna Paramita Debata, Puspanjali Mohapatra

“…Initially, a filter approach, namely Fisher score is applied to pre-select the informative genes. Then, MOCJaya algorithm is employed for both selecting key genes and classifying the cancer data. …”
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KO algorithm-based bi-level optimal scheduling of electricity-carbon-hydrogen coupling systems with flexible resources for renewable energy integration by Jing Liu, Zicheng Guo, Yalong Li

“…Furthermore, the newly introduced KO algorithm demonstrates superior performance over both FP and PSO algorithms across all evaluated metrics.…”
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Multi-Parameter Optimization Using Metaheuristic Algorithms to Improve Uncrewed Aerial Vehicles’ Wireless Communications: A Performance Analysis by Lalan J. Mishra, Naima Kaabouch

“…Seven metaheuristic algorithms were applied to both approaches, and the performance was evaluated via convergence and processing times. …”
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Mobile robot navigation path algorithm in 3d industrial internet of thing (iot) environment based on 5g mobile communication by Pei Ping, Yu. N. Petrenko

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Monitoring Sea Surface Temperature and Sea Surface Salinity Around the Maltese Islands Using Sentinel-2 Imagery and the Random Forest Algorithm by Gareth Craig Darmanin, Adam Gauci, Monica Giona Bucci, Alan Deidun

“…This was achieved by leveraging Sentinel-2 satellite platforms, the random forest Machine Learning algorithm, and in situ data collected from sea gliders and floats. …”
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A Novel Voronoi-Driven Optimization Approach for Point-Based Sensor Network Deployment by Saeid Doodman, Mir-Abolfazl Mostafavi, Raja Sengupta, Ali Afghantoloee

“…Both algorithms performed significantly better with Kriging and TPS than with IDW.…”
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Utilizing molecular simulation, ideal adsorbed solution theory and ensemble learning algorithms to investigate adsorption and separation of sulfides on amorphous nanoporous materia... by Xuan Peng, Xingbang Zhang

“…At 303 K, the optimal adsorbent for both gases was found to be HCP-Colina-id016, with 16 mmol/g. …”
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Production and optimization of affordable artificial geopolymer aggregates containing crumb rubber, plastic waste, and granulated cork based on machine learning algorithms by Mohamed Abdellatief, Abedulgader Baktheer, Mohamed Shahin, Aref A. Abadel, Ashraf M. Heniegal

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Does Gastroenterology Need Artificial Intelligence? by S. M. Kurbatsky

“…Tuning a diagnostic algorithm (DA) necessarily requires a statistically representative training set of images. …”
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On the accurate computation of expected modularity in probabilistic networks by Xin Shen, Matteo Magnani, Christian Rohner, Fiona Skerman

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Extraction and Recognition of Color Feature in true Color Images Using Neural Network Based on Colored Histogram Technique by Orjuwan Aljawadi

“…In this research, a neural network using backpropagation (BPNN) algorithm was trained and learned to work as the cone cells in human eyes to recognize the three fundamental cells’ colors and hues, as the neural network showed good results in training and testing the color feature  it was trained and learned again to recognize two nature scenes images ; Red sunset and Blue sky images where both scenes images contain color interaction and different hues such as red-orange and blue-violet. …”
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Delay constraint supported overlay multicast routing protocol by WU Jia-gao, YANG Yin-ying, CHEN Yi-xin, YE Xiao-guo

“…DBTP used a new heuristic local optimum algorithm, which could make trade-off between delay and cost of the multicast tree by adjusting a heuristic parameter. …”
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Multi-UAV path planning considering multiple energy consumptions via an improved bee foraging learning particle swarm optimization algorithm by Yuanhang Qi, Haoran Jiang, Gewen Huang, Liang Yang, Fujie Wang, Yunjian Xu

“…In Experiment 2, when compared with four other algorithms, IBFLPSO outperforms them in both the optimal and average solutions. …”
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Incorporating Prior Information in Latent Structures Identification for Panel Data Models by Yi Li, Xingxing Luo, Mengqi Liao

“…The asymptotic properties and the convergence of ADMM algorithm are well established. Simulation studies demonstrate the advantages of the proposed method over existing methods in terms of both estimation efficiency and detection accuracy. …”
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