Combination of Artificial Neural Network and Particle Swarm Intelligence Algorithm for Diagnosing Diabetes by Cillian Thompson, Oscar Higgins

“…As a powerful data mining tool, neural networks are a suitable method for discovering hidden patterns in the information of diabetic patients. In this study, in order to discover hidden patterns and diagnose diabetes, a particle swarm intelligence algorithm has been used along with a neural network to increase the accuracy of diabetes diagnosis. …”
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Interpreting Microbial Species–Area Relationships: Effects of Sequence Data Processing Algorithms and Fitting Models by Fu-Liang Qi, Wei Deng, Yi-Ting Cheng, Xiao-Yan Yang, Na Li, Wen Xiao

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Development and evaluation of parallel simulated annealing algorithm for reactor core optimization problems [version 2; peer review: 2 approved] by Gregory Delipei, Jake Mikouchi-Lopez, Jason Hou

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Algorithm for Assessing the Characteristics of a Waveguide Slot Antenna Array when Changing Antenna Element Phasing by A. F. Kryachko, N. A. Gladky, M. R. Bibarsov, B. A. Ayukov

“…A review of publications shows a lack of research studies into failures of these elements.Aim. …”
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Integrating machine learning and multi-omics analysis to unveil key programmed cell death patterns and immunotherapy targets in kidney renal clear cell carcinoma by Fanyan Ou, Yi Pan, Qiuli Chen, Lixiong Zeng, Kanglai Wei, Delin Liu, Qian Guo, Liquan Zhou, Jie Yang

“…However, systematic research on how various PCD patterns in KIRC affect the responsiveness to immunotherapy is lacking and requires in-depth investigation. …”
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A systematic performance comparison of two Smooth Pursuit detection algorithms in Virtual Reality depending on target number, distance, and movement patterns by Sarah Christin Freytag, Michelle Kamps, Roland Zechner

“… We compared the performance of two smooth-pursuit-based object selection algorithms in Virtual Reality (VR). To assess the best algorithm for a range of configurations, we systematically varied the number of targets to choose from, their distance, and their movement pattern (linear and circular).  …”
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Assessment of Teaching Quality of Traditional Decorative Patterns in Colleges and Universities Using an MCDM Approach and Circular Intuitionistic Information by Zi Wang, Liping Pan

“…This paper aims to analyze this assessment process using an enhanced framework of circular intuitionistic fuzzy sets (C-IFS) and the Dombi triangular norm. The aim of this research is to apply the Dombi t-norm (DTN) and t-conorm (DTCN) for aggregating the information within the circular intuitionistic fuzzy (C-IF) framework to evaluate the teaching quality of traditional decorative patterns. …”
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Conceptual Framework for the Organization of Rural Areas: A Study Based on the Identification of Agglomeration Patterns by Aleksandr A. Tiutiunikov, Andrei V. Ulezko

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Research into the Impact of Phase Shifter Failures on the Characteristics of Slotted Waveguide Array Antenna by M. R. Bibarsov

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ASSESSMENT OF 2D-DIC STOCHASTIC PATTERNS by Jakub Antoš, Václav Nežerka, Michael Somr

“…An additional investment into preparation of new experimental testing can be avoided with the use of tools employing algorithms for stochastic pattern assessment. The development of such algorithms and their implementation into an open-source DIC software is the goal of the presented research.…”
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Genetic Pattern Recognition using Intelligent Techniques by Basil Thanoon, Omar Qasim

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AI-assisted Pattern Generator for Garment Design by Michael Danner, Elena Brake, Gabriela Kosel, Yordan Kyosev, Katharina Rose, Matthias Rätsch, Holger Cebulla

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Modeling and Reconstruction of Mixed Functional and Molecular Patterns by Yue Wang, Jianhua Xuan, Rujirutana Srikanchana, Peter L. Choyke

“…Formulating the task as a blind source separation or composite signal factorization problem, we report here a statistically principled method for modeling and reconstruction of mixed functional or molecular patterns. The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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Modeling and Reconstruction of Mixed Functional and Molecular Patterns

“…Formulating the task as a blind source separation or composite signal factorization problem, we report here a statistically principled method for modeling and reconstruction of mixed functional or molecular patterns. The computational algorithm is based on a latent variable model whose parameters are estimated using clustered component analysis. …”
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Instagram and #Wellness: Uncovering Gender and Body Patterns by Ana Marta M. Flores, Rita Sepúlveda

“…Instagram’s engagement logic preferentially promotes content conforming to dominant societal norms, strengthening these patterns. Alternative or counter-narratives, while they exist, often face challenges in gaining visibility due to both algorithmic biases and cultural predispositions. …”
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Construction and Application of Carbon Emissions Estimation Model for China Based on Gradient Boosting Algorithm by Dongjie Guan, Yitong Shi, Lilei Zhou, Xusen Zhu, Demei Zhao, Guochuan Peng, Xiujuan He

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A Novel Methodology to Correct Chlorophyll-a Concentrations from Satellite Data and Assess Credible Phenological Patterns by Irene Biliani, Ekaterini Skamnia, Polychronis Economou, Ierotheos Zacharias

“…Chlorophyll-a concentration time series analysis aids in understanding the current trophic state of coastal waters and tracking changes over time, enabling the evaluation of water bodies’ trophic status. This research presents a novel and replicable methodology able to derive accurate phenological patterns using remote sensing data. …”
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<strong>Hybrid neural network with genetic algorithms for predicting distribution pattern of <em>Tetranychus urticae</em> (Acari: Tetranychidae) in cucumbers field of Ramhormoz, Ir... by Alireza Shabaninejad, Bahram Tafaghodinia, Nooshin Zandi Sohani

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Comparison of the Performance of the C.45 Algorithm with Naive Bayes in Analyzing Book Borrowing at the Library Pringsewu Muhammadiyah University by Dani Wilian, Sriyanto Sriyanto

“…This study examines the effectiveness of the Naïve Bayes and C4.5 algorithms in analyzing book borrowing patterns at the Pringsewu Muhammadiyah University Library. …”
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FORMATION OF FULL COLLECTION OF SCELETONS FOR FREE CONCOURS by Alexander P. KOROBEINIKOV, Nikolay N. SADOVOY

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