Predictive Model for Diagnosis of Gestational Diabetes in the Kurdistan Region by a Combination of Clustering and Classification Algorithms: An Ensemble Approach by Rasool Jader, Sadegh Aminifar

“…It can occur at any stage of pregnancy and cause problems for both the mother and the baby, during and after birth. …”
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Amplitude and Phase Calibration with the Aid of Beacons in Microwave Imaging Radiometry by Aperture Synthesis: Algebraic Aspects and Algorithmic Implications by Eric Anterrieu

“…This problem is overcome with the aid of a non-linear optimization algorithm for iteratively and smoothly unwrapping these phases. …”
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The Detection of Fake Text News using a Dense-based 1D-CNN Deep Learning Algorithm by Khalid Abood Kamel, Jumana Waleed

“…Social media is one of the fastest ways to get information out there because it has ‎a big impact and can manipulate information in both good and bad ways. The goal of this ‎paper is the optimal use of deep learning algorithms to solve the problem of the paper. …”
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Scheduling optimization based on particle swarm optimization algorithm in emergency management of long-distance natural gas pipelines. by Huichao Guo, Runhua Huang, Shuqin Cheng

“…The experimental results show that compared with the traditional particle swarm optimization algorithm, NACFPSO performs well in both convergence speed and scheduling time, with an average convergence speed of 81.17 iterations and an average scheduling time of 200.00 minutes; while the average convergence speed of the particle swarm optimization algorithm is 82.17 iterations and an average scheduling time of 207.49 minutes. …”
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Two fast algorithms for finding the solution of the lower Hessenberg quasi-Toeplitz linear system from Markov chain by Yaru Fu, Xiaoyu Jiang, Yanpeng Zheng, Zhaolin Jiang

“…And we confirm the complexity of these two algorithms is both O $$(n\log n)$$ based on the fact that a lower Hessenberg quasi-Toeplitz matrix can be written as the sum of a Toeplitz matrix and a rank-one matrix, such that the fast solver involves O $$(n\log n)$$ operators for solving the Toeplitz linear system can be adopted. …”
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Performance of a HER2 testing algorithm tailored for urothelial bladder cancer: A Bi-centre study by Aoling Huang, Yizhi Zhao, Feng Guan, Hongfeng Zhang, Bin Luo, Ting Xie, Shuaijun Chen, Xinyue Chen, Shuying Ai, Xianli Ju, Honglin Yan, Lin Yang, Jingping Yuan

“…Aims: This study aimed to develop an AI algorithm for automated HER2 scoring in urothelial bladder cancer (UBCa) and assess the interobserver agreement using both manual and AI-assisted methods based on breast cancer criteria. …”
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Investigating the impact of non-standard positioning on the accuracy of skull tracking algorithms using dual-panel imaging systems by He Huang, Lian Zhang, Yunfei Bian, Yang Dong, Hongyu Lin, Hui Xu, Ying Li

“…The minimal deviations and lack of statistical significance demonstrate that both tracking methods are equivalent in skull positioning. …”
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A feature selection and scoring scheme for dimensionality reduction in a machine learning task by PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses

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Lean technology principles improve management of medical organizations by G. N. Tsarik, G. L. Rytenkova, T. Yu. Gracheva

“…To develop a process model and an algorithm for managing the development of medical organizations. …”
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Correlation coefficients of vibration signals and machine learning algorithm for structural damage assessment in beams under moving load by Toan Pham-Bao, Vien Le-Ngoc

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Optimal Lower Step Height of Tunnel Excavation Designs by Using the Non-Dominated Sorting Genetic Algorithm-II by Shaoqing Niu, Jinwen Wu, Jinchang Zhao, Junjie Pei

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Smooth Approximation l0-Norm Constrained Affine Projection Algorithm and Its Applications in Sparse Channel Estimation by Yingsong Li, Masanori Hamamura

“…The simulation results demonstrate that our proposed SL0-APA is superior to the standard APA and its sparsity-aware algorithms in terms of both the convergence speed and the steady-state behavior in a designated sparse channel. …”
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Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data by Jozef Rusin, Thomas Lavergne, Anthony P. Doulgeris, K. Andrea Scott

“…By applying reSICCI3LF, we aim to produce a 5 km SIC for 2013–2020 in the Fram Strait and the Barents and Kara Sea region that gains the benefits of both types of algorithms, high spatial resolution and low measurement uncertainty.…”
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Enhancing Path Planning for Autonomous Robots in Large, Obstacle-Crowded Environments: A Practical Improvement to the PRM Algorithm by Shimon Aviram, Eugene Levner

“…Specifically, across different obstacle and node densities, the proposed algorithm outperforms the PRM benchmark, confirming its effectiveness for path planning in both simulated and real-world environments, particularly within large-sized areas.…”
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Position - Velocity Control for Two PMDC Motors Connected by a Cross-Coupling Technique with Butterflies Optimization Algorithm by Kareem Ghazi Abdulhussein, Naseer M. Yasin, Ihsan J. Hasan

“…The simulation results showed high accuracy to reach the desired position at a regular velocity of both the PMDC motors with accurate synchronization and tracking trajectory on the axes. …”
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Design and Build a Notary MIS Using the AES 256 Algorithm at a Web-Based Notary Office by Arya Pratama Damanik, Suendri Suendri

“…This research aims to design and develop a web-based Notary Management Information System (MIS) incorporating the AES 256 encryption algorithm to enhance data management and security in notary offices. …”
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A Comparative Analysis of Different Machine Learning Algorithms Developed with Hyperparameter Optimization in the Prediction of Student Academic Success by Bahar Demirtürk, Tuba Harunoğlu

“…Hyperparameter optimization was performed using genetic algorithm and grid search methods and model accuracy was tested with 10-fold cross-validation. …”
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Optimization of Nitrogen Fertilization Strategies for Drip Irrigation of Cotton in Large Fields by DSSAT Combined with a Genetic Algorithm by Zhuo Yu, Weiguo Fu

“…Building upon the DSSAT-CROPGRO model’s demonstrated superiority over pure machine learning approaches in simulating nitrogen–crop interactions (calibrated with multi-year phenological datasets), we develop a genetic algorithm-embedded decision system that simultaneously optimizes nitrogen use efficiency (NUE) and economic returns. …”
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Influence of Genetic Algorithm Parameters on Their Performance for Parameter Identification of a Yeast Fed-batch Fermentation Process Model by Maria Angelova, Tania Pencheva

“…The influence of some of the main genetic algorithm parameters, namely number of individuals, maximum number of generations, generation gap, crossover and mutation rates for both SGA and MGA, and insertion and migration probability for MGA only, have been investigated in depth. …”
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Synthesis of Thinned Planar Concentric Circular Antenna Arrays Using a Modified Artificial Bee Colony Algorithm by Yuqi Sun, Jianbang Sun, Lei Ye

“…The artificial bee colony (ABC) algorithm is a biomimetic optimization algorithm based on the intelligent foraging behavior of a bee colony. …”
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