Block-Level Matching Recognition Algorithm for OpenStreetMap and Segments From High-Resolution Remote Sensing by Fan Shen, Jianyu Chen, Yu Shen, Zhao Gun, Qiankun Zhu

“…The effectiveness of segmentation algorithms influences the results, necessitating the selection of algorithms based on specific scenarios. …”
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SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS by V. M. Deundyak, M. A. Zhdanova

“…The solution is based on Shun-Zheng Yu forward algorithm for a general hidden semi-Markov model. This approach differs from the traditional one and employs posterior probabilities. …”
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Predicting Diabetes Mellitus with Machine Learning Techniques by Heba Ahmed Jassim, Omar R. Kadhim, Zahraa Khduair Taha, Johnny Koh Siaw Paw, Yaw Chong Tak, Tiong Sieh Kiong

“…The Diabetes Prediction Dataset is used to evaluate four machine learning algorithms. The classifier that deserves a singular mention is the Artificial Neural Network (ANN), which achieves a 97% accuracy rate. …”
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Detecting Anomalies in CPU Behavior Using Clustering Algorithms from the Scikit-Learn Library in Python Programming Language by Artem Turashev, Vladimir Sukhomlin

“…Experiments are conducted on real data obtained from CPU monitoring systems to evaluate the performance and compare the results of different algorithms. …”
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A novel deep reinforcement learning‐based algorithm for multi‐objective energy‐efficient flow‐shop scheduling by Peng Liang, Pengfei Xiao, Zeya Li, Min Luo, Chaoyong Zhang

“…Abstract A novel algorithm combining bidirectional recurrent neural networks (BiRNNs) with temporal difference is proposed for multi‐objective energy‐efficient non‐permutation flow‐shop scheduling problem (NFSP). …”
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NAPAbench 2: A network synthesis algorithm for generating realistic protein-protein interaction (PPI) network families. by Hyun-Myung Woo, Hyundoo Jeong, Byung-Jun Yoon

“…A major impediment to advancing network alignment techniques has been the lack of gold-standard benchmarks that can be used for accurate and comprehensive performance assessment of such algorithms. The original NAPAbench (network alignment performance assessment benchmark) was developed to address this problem, and it has been widely utilized by many researchers for the development, evaluation, and comparison of novel network alignment techniques. …”
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Hybrid signal algorithm detection in NOMA 5G waveform: Transforming smart healthcare connectivity by reducing latency by Arun Kumar, Nishant Gaur, Aziz Nanthaamornphong

“…For 16 × 16 and 64 × 64 MIMO-NOMA, the Bit error rate (BER) was evaluated and compared for Long Short-Term Memory (LSTM), ZFE, MMSE, and Maximum likelihood (ML) detection, and the proposed ZFE-MMSE algorithms. …”
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A Modified Sine Cosine Algorithm Based on A Novel Locally Weighted Method for Global Optimization Problems by Shahad Mohammed, Nazar Hussein, Mohammed Alkahya

“…The putative method's hybrid architecture is anticipated to significantly increase the potential for exploration and exploitation. By evaluating SCA's performance against IEEE CEC 2017 functions and contrasting it with a variety of different metaheuristic techniques, the usefulness of SCA is investigated. …”
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Performance improvement of DC motor control system using PID controller with Kookaburra and Red Panda optimization algorithm by G. Saravanan, C. Pazhanimuthu, Palanichamy Naveen

“…The better solution of the algorithm is evaluated in the exploration and exploitation phases of the initial population in the metaheuristic algorithms. …”
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Algorithm for Correcting the Keratometric Error in the Estimation of the Corneal Power in Keratoconus Eyes after Accelerated Corneal Collagen Crosslinking by David P. Piñero, Vicente J. Camps, Esteban Caravaca-Arens, Dolores de Fez, Francisco J. Blanes-Mompó

“…The agreement between Pk1.3375 (keratometric power using the keratometric index of 1.3375), PcGauss, and Pkadj was evaluated. The validity of the algorithm developed was investigated in 21 keratoconus eyes undergoing accelerated CXL. …”
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Research on Gating Fusion Algorithm for Power Grid Survey Data Based on Enhanced Mamba Spatial Neighborhood Relationship by Aiyuan Zhang, Jinguo Lv, Yu Geng, Xiaolei Wang, Xianhu Li

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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…Though each algorithms was developed to serve different objectives of ML applications in RS data processing, their technical implementation and practical purposes present valuable approaches to cartographic data processing and image analysis. …”
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Reinforcement Learning-Driven Hunter-Prey Algorithm Applied to 3D Underwater Sensor Network Coverage Optimization by Zibo Huang, Fangxiu Wang, Chen Su, Yi Wang, Hui Liu

“…Secondly, by incorporating the concept of Q-learning, the algorithm can adaptively select the optimal action strategy at different stages, thereby enhancing the effectiveness of actions executed in each phase. …”
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Development and validation of a deep reinforcement learning algorithm for auto-delineation of organs at risk in cervical cancer radiotherapy by Li Yucheng, Qiu Lingyun, Shao Kainan, Jia Yongshi, Zhan Wenming, Ding Jieni, Chen Weijun

“…The test results were compared with the contouring results of commercial automatic contouring software based on the deep learning (DL) algorithm model. The Dice similarity coefficient (DSC), 95th percentile Hausdorff distance, average symmetric surface distance (ASSD), and relative absolute volume difference (RAVD) were used to quantitatively assess the contouring accuracy from different perspectives, enabling the contouring results to be comprehensively and objectively evaluated. …”
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A Computable Phenotype Algorithm for Postvaccination Myocarditis/Pericarditis Detection Using Real-World Data: Validation Study by Matthew Deady, Raymond Duncan, Matthew Sonesen, Renier Estiandan, Kelly Stimpert, Sylvia Cho, Jeffrey Beers, Brian Goodness, Lance Daniel Jones, Richard Forshee, Steven A Anderson, Hussein Ezzeldin

“…These findings underscore the algorithm's capability for real-time detection of AEs, though they also highlight variability in performance across different health care systems. …”
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An Actor–Critic-Based Hyper-Heuristic Autonomous Task Planning Algorithm for Supporting Spacecraft Adaptive Space Scientific Exploration by Junwei Zhang, Liangqing Lyu

“…At the bottom level of the hyper-heuristic algorithm, this paper uses the particle swarm optimization algorithm, grey wolf optimization algorithm, differential evolution algorithm, and positive cosine optimization algorithm as the basic operators. …”
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The value of machine learning based on spectral CT quantitative parameters in the distinguishing benign from malignant thyroid micro-nodules by Zuhua Song, Qian Liu, Jie Huang, Dan Zhang, Jiayi Yu, Bi Zhou, Jiang Ma, Ya Zou, Yuwei Chen, Zhuoyue Tang

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Advances in application of ultrasound in diagnosis of diabetic nephropathy by GUO Juan, YANG Zhifang, JI Ri

“…Conventional ultrasound techniques, including grayscale and Doppler ultrasound, evaluate renal morphology and hemodynamic changes. …”
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“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study by Andre Briosa e Gala, Michael T. B. Pope, Milena Leo, Alexander J. Sharp, Abhirup Banerjee, Duncan Field, Honey Thomas, Richard Balasubramaniam, Ross Hunter, Roy S. Gardner, David Wilson, Mark M. Gallagher, Julian Ormerod, John Paisey, Nick Curzen, Timothy R. Betts

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Analysis of Influence of Different Relations Types on the Quality of Thesaurus Application to Text Classification Problems by Nadezhda S. Lagutina, Ksenia V. Lagutina, Ivan A. Shchitov, Ilya V. Paramonov

“…The main purpose of the article is to analyze how effectively different types of thesaurus relations can be used for solutions of text classification tasks. …”
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