Accuracy Testing of Torque Limit Determination Algorithm Intended for Smart Bone Screwdrivers by Jack A. Wilkie, Alberto Battistel, Paul D. Docherty, Niklaus F. Friederich, Georg Rauter, Knut Möller

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A machine learning algorithm for personalized healthy and sustainable grocery product recommendations by Laura Z.H. Jansen, Kwabena E. Bennin

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Validating an Electronic Health Record Algorithm for Diabetes Screening Eligibility in the Emergency Department by Mary H. Smart, Janet Y. Lin, Brian T. Layden, Yuval Eisenberg, Kirstie K. Danielson, Ruth Pobee, Chuxian Tang, Brett Rydzon, Anjana Bairavi Maheswaran, A. Simon Pickard, Lisa K. Sharp, Angela Kong

“…We used sensitivity, specificity, likelihood ratios, and predictive values to estimate the algorithm’s ability to correctly identify patients eligible for diabetes screening, with manual chart review as the reference standard. …”
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Robust Adversarial Example Detection Algorithm Based on High-Level Feature Differences by Hua Mu, Chenggang Li, Anjie Peng, Yangyang Wang, Zhenyu Liang

“…By exploiting semantic conflicts in high-level features between clean and adversarial examples with the same predicted label, the method achieves high detection accuracy across diverse attack types while maintaining resilience to preprocessing, providing a valuable new perspective in the design of adversarial example detection algorithms.…”
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Classification of Survivors and Non-survivors of the Latest Epidemic Using Association Rules Algorithm by Nasrin Talkhi, Nooshin Akbari sharak, Zahra Pasdar, Maryam Salari, Seyed Masoud Sadati, Mohammad Taghi Shakeri

“…We aimed to find practical patterns in COVID-19 data and predict patient survivor status using association rules. …”
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CFD algorithm for moving boundary problems of isothermal drying and shrinkage: Case of prunes by Lentzou Diamanto, Templalexis Charalampos, Boudouvis Andreas G., Karathanos Vaios, Xanthopoulos Georgios

“…The CFD optimisation model efficiently predicted the experimental water content and shrinkage.…”
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Digital Approaches to Creating Accessible Environment for Persons With Disabilities: Using the Bot Algorithm by Yu. A. Yukhno, S. A. Efimov

“…The purpose of the article is to develop a prototype web framework that would include an educational orientation for people with the main types of persistent disorders of the human body functions due to diseases, consequences of injuries or defects, including their degree of disability. …”
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Leveraging AI to Drive Timely Improvements in Patient Experience Feedback: Algorithm Validation by Mustafa Khanbhai, Catalina Carenzo, Sarindi Aryasinghe, David Manton, Erik Mayer

“…ResultsThe algorithm demonstrated satisfactory overall accuracy (>75%) in predicting themes and sentiments embedded within free-text responses across a variety of care settings and population demographics. …”
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Image Reconstruction Algorithm Based on Extreme Learning Machine for Electrical Capacitance Tomography by SU Ziheng, CHEN Deyun, WANG Lili

“…Aiming at the problem that the traditional ECT is not accurate in complex situations, this paper proposes a depth learning based inversion method Through the improvement and optimization of the traditional extreme learning machine, the image feature information obtained by the reconstructed image method is used as the training data, and the result obtained by inputting the data into the predictive model is used as the prior information The cost function is used to encapsulate the prior knowledge and domain expertise, and spatial regularizers and time regularizers are introduced to enhance sparsity The separated Bregman (SB) algorithm and the iterative shrinkage threshold (FIST) method are used to solve the specified cost function The final imaging result is obtained The simulation results show that the image reconstructed by this method has less than 10% error compared with the original flow pattern, and reduces artifacts and distortion, which improves the reconstructed image quality…”
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DISTANCE PROPERTIES OF THE NONLINEAR ERROR CONTROL CODE ON THE BASIS OF CRYPTOGRAPHIC ALGORITHM OF RIJNDAEL by D. M. Bildziuk, S. B. Salomatin

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AN ITERATIVE ALGORITHM OF OBJECT DETECTION IN VIDEO SEQUENCE BASED ON HISTOGRAM SPATIAL MEASURES by I. A. Baryskievic

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Content-Aware Fast Motion Estimation Algorithm for IoT Based Multimedia Service by Ryong-Baek, Kyung-Soon Jang, Jae-Hyun Nam, Byung-Gyu Kim

“…Experimental results show that the proposed algorithm achieves speed-up factors of up to 48.57% and 16.03%, on average, with good bitrate performance, compared with fast integer-pel and fractional-pel motion estimation for H.264/AVC (UMHexagonS), and an enhanced predictive zonal search for single and multiple frame motion estimation (EPZS) methods using JM 18.5, respectively. …”
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Application of the ABC Algorithm in Parameter Estimation and Kinetic Model Selection in Propionic Fermentation by Waldecleia Queiroz Da Costa, Miguel Fernando Saraiva Maia, Nilton Pereira Da Silva, Deibson Silva Da Costa, Emerson Cardoso Rodrigues, Diego Cardoso Estumano

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ALGORITHM OF DECISION GIVEN COMBINATORIAL TASKS ON THE BASE OF MANY-CRITARIAL OPTIMIZATION MODEL by S. V. Chebakov, L. V. Serebryanaya

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Construction of Student Information Management System Based on Data Mining and Clustering Algorithm by XueHong Yin

“…First, the general situation of genetic algorithm and fuzzy genetic algorithm is introduced, and then, an improved genetic fuzzy clustering algorithm is proposed. …”
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Error Compensation for Delta Robot Based on Improved PSO-GA-BP Algorithm by Kaiwen Yang, Zhan Pan, Linlin Zheng, Qinwen Li, Deyong Shang

“…This algorithm uses the improved PSO-GA algorithm to optimize the optimal correction angles and trains the BP network with the optimized dataset to achieve predictive compensation for other points. …”
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Rapid Assessment of the Fatigue Limit Using an Iterative Algorithm Applied to Intrinsic Dissipation by Luca Santoro, Raffaella Sesana, Francesca Maria Curà

“…The aim of this paper is to introduce and validate an iterative algorithm for the rapid assessment of the fatigue limit. …”
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Moldina: a fast and accurate search algorithm for simultaneous docking of multiple ligands by Radek Halfar, Jiří Damborský, Sérgio M. Marques, Jan Martinovič

“…Here we present Moldina (Multiple-Ligand Molecular Docking over AutoDock Vina), a new algorithm built upon AutoDock Vina. Through comprehensive testing against AutoDock Vina, the algorithm exhibited comparable accuracy in predicting ligand binding conformations while significantly reducing the computational time up to several hundred times. …”
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Tracking Control of CSTRs Based on Improved OU Noise and the TD3 Algorithm by Hongyan Shi, Xiaofei Wu, Guogang Wang

“…Simulation results demonstrate that the proposed TD3 algorithm outperforms conventional control methods, such as PID control and nonlinear model predictive control, as well as other DRL algorithms, including SAC and PPO, in terms of control accuracy and convergence speed.…”
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Intelligent analysis algorithm for power engineering data based on improved BiLSTM by Yuanyuan Xu, Jiapeng Yang, Xin Cai

“…Abstract Traditional BiLSTM (Bidirectional Long Short-Term Memory) has limited processing capabilities for long-time series, insufficient adaptability to the characteristics of power engineering data, and inadequate accuracy in predicting problems in specific application scenarios. …”
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