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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Research on Characteristics and Influencing Factors of High Temperature Disaster Risk in Wuhan Based on Local Climate Zone by Shujing GUO, Li ZHANG

“…Finally, eight types of LCZ landscape pattern indices are preliminarily selected at the type and landscape scale levels, and the optimal research size is obtained using the moving window method in Fragstats 4.2 software. …”
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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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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…Clustering technique, as a core tool in data mining, can partition data into different clusters based on structural similarity, thereby uncovering the structure and internal relationships within data to discover systemic development patterns and variable correlations. Faced with the challenges such as the complexity of multivariate time series data structures, the interconnectivity between variables, and data high-dimensionality, a substantial amount of research has been conducted internationally. …”
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Neuromorphic devices assisted by machine learning algorithms by Ziwei Huo, Qijun Sun, Jinran Yu, Yichen Wei, Yifei Wang, Jeong Ho Cho, Zhong Lin Wang

“…Second, the fabrication and research progress of neuromorphic devices are presented regarding to materials and structures. …”
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Marine Mammals Classification using Acoustic Binary Patterns by Maheen NADIR, Syed Muhammad ADNAN, Sumair AZIZ, Muhammad Umar KHAN

“…Prior methods for classification focused on spectral features which result in increasing bias for contour base classifiers in automatic detection algorithms. In this study, acoustic marine mammal classification is performed through the fusion of 1D Local Binary Pattern (1D-LBP) and Mel Frequency Cepstral Coefficient (MFCC) based features. …”
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Visual recognition of honeybee behavior patterns at the hive entrance. by Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Gabriela Vdoviak

“…Key contributions include the development of a comprehensive dataset with 7200 frames from eight beehives, the introduction of the first known research focused on recognizing bee behavior patterns through visual analysis at the hive entrance, and a comparative evaluation of various object detection and tracking algorithms tailored for bee detection and behavior recognition. …”
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Fine-Pruning: A biologically inspired algorithm for personalization of machine learning models by Joseph Bingham, Saman Zonouz, Dvir Aran

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Automatic Summarization Of Arabic Texts by Jawad Berri, Omar Alghafri

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Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression by Tarek Sallam, Qun Wang, Ahmed M. Attiya

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Algorithmic Classification of Psychiatric Disorder–Related Spontaneous Communication Using Large Language Model Embeddings: Algorithm Development and Validation by Ryan Allen Shewcraft, John Schwarz, Mariann Micsinai Balan

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Tourist Behavior Pattern Mining Model Based on Context by Dong-sheng Liu, Shu-jiang Fan

“…Personalized travel experience and service of tourist has been a hot topic research in the tourism service supply chain. In this paper, we take the context into consideration and propose an analyzed method to the tourist based on the context: firstly, we analyze the context which influences the tourist behavior patterns, select the main context factors, and construct the tourist behavior pattern model based on it; then, we calculate the interest degree of the tourist behavior pattern and mine out the rules with high interest degree with the association rule algorithm; we can make some recommendations to the tourist with better personalized travelling experience and services. …”
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Digital Intelligence Pathology Platform and Its Service Pattern by Xiaohong Chen, Liu Liu, Yajua Niu, Xiaoliang Liu, Xiaohai Li, Jianhua Zhou, Junpu Wang

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Exploring Price Patterns of Vegetables with Recurrence Quantification Analysis by Sofia Karakasidou, Athanasios Fragkou, Loukas Zachilas, Theodoros Karakasidis

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Automatic detection of sleep spindles by neural networks algorithms by Jan Rychlík, Roman Mouček

“…Consequently, comprehending and accurately analyzing sleep patterns is of paramount importance. This research aims to introduce, formulate, execute, and assess diverse machine/deep learning methodologies tailored for the processing of EEG signals geared explicitly towards identifying sleep spindles. …”
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A Review of Link Prediction Algorithms in Dynamic Networks by Mengdi Sun, Minghu Tang

“…After summarizing and comparing the common datasets and evaluation indicators for dynamic network link prediction, we briefly review classic related algorithms in recent years, and classify them according to the network changes, sampling methods, underlying principles of algorithms, and other classification methods. …”
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USING REINFORCEMENT LEARNING ALGORITHMS FOR UAV FLIGHT OPTIMIZATION by O. Dutsiak, V. Yuzevych

“…Unmanned aerial vehicles (UAVs) have become a compelling research topic, offering potential for both civilian and military applications such as inspection, delivery, reconnaissance, and surveillance. …”
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