From Patterns to Predictions: Spatiotemporal Mobile Traffic Forecasting Using AutoML, TimeGPT and Traditional Models by Hassan Ayaz, Kashif Sultan, Muhammad Sheraz, Teong Chee Chuah

“…This analysis reveals key patterns in traffic distribution highlighting both high- and low-demand regions as well as notable variations in usage over time. …”
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Biomechanical Effects of Sandal Strap Design on Gait Kinematics and Electromyographic Activation Patterns: A Speed-Dependent Analysis by Bojie Xuan, Dong Sun, Dongxu Wang, Diwei Chen, Fengping Li, Yang Song, Xuanzhen Cen, Gusztáv Fekete, Monèm Jemni, Yaodong Gu

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Safety of Information and Communication Technologies in the Context of the Sustainable Development of Human Society by V. A. Artamonov, E. V. Artamonova, L. A. Kulak

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Deep autoencoder-based behavioral pattern recognition outperforms standard statistical methods in high-dimensional zebrafish studies. by Adrian J Green, Lisa Truong, Preethi Thunga, Connor Leong, Melody Hancock, Robyn L Tanguay, David M Reif

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Modern Approach in Pattern Recognition Using Circular Fermatean Fuzzy Similarity Measure for Decision Making with Practical Applications by Revathy Aruchsamy, Inthumathi Velusamy, Prasantha Bharathi Dhandapani, Suleman Nasiru, Christophe Chesneau

“…Machine learning algorithm utilizes pattern recognition as an instrument for identifying patterns and also similarity measure (SM) is a beneficial pattern recognition tool used to classify items, discover variations, and make future predictions for decision making. …”
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Fault Diagnosis of Rolling-Element Bearing Using Multiscale Pattern Gradient Spectrum Entropy Coupled with Laplacian Score by Xiaoan Yan, Ying Liu, Peng Ding, Minping Jia

“…Feature extraction is recognized as a critical stage in bearing fault diagnosis. Pattern spectrum (PS) and pattern spectrum entropy (PSE) in recent years have been smoothly applied in feature extraction, whereas they easily ignore the partial impulse signatures hidden in bearing vibration data. …”
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Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach by Nicola Pasquino, Nunzia Solmonte, Nikola Djuric, Dragan Kljajic, Snezana Djuric

“…Advanced techniques for data analysis, based on machine learning like clustering, can decompose daily variations in EMF exposure into distinct patterns, providing a clearer understanding of how exposure fluctuates over time. …”
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Identification of lethality-related m7G methylation modification patterns and the regulatory features of immune microenvironment in sepsis by Dan Wang, Rujie Huo, Lu Ye

“…This study aimed to explore the patterns of lethality-related m7G regulatory factor-mediated RNA methylation modification and immune microenvironment regulatory features in sepsis. …”
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Maximum and minimum activity in inpatient adolescents with Bipolar Disorders: Daily-Variability classification of actigraphy pattern with artificial intelligence by Farzan Vahedifard, Boris Birmaher, Satish Iyengar, Maria Wolfe, Lepore Brianna N, Mariah Chobany, Halimah Abdul-waalee, Greeshma Malgireddy, Jonathan A. Hart, Michele A. Bertocci, Rasim S. Diler

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Universal patterns of intra-urban morphology: Defining a global typology of the urban fabric using unsupervised clustering by Henri Debray, Matthias Gassilloud, Richard Lemoine-Rodríguez, Michael Wurm, Xiaoxiang Zhu, Hannes Taubenböck

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Microbial Patterns in Newly Diagnosed Inflammatory Bowel Disease Revealed by Presence and Transcriptional Activity - Relationship to Diagnosis and Outcome by Vatn SS, Hansen SH, Tannæs TM, Brackmann S, Olbjørn C, Bergemalm D, Keita ÅV, Gomollon F, Detlie TE, Kalla R, Satsangi J, Jahnsen J, Vatn MH, Halfvarson J, Hov JR, Ricanek P, Moen AEF

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Reinventing the Trochoidal Toolpath Pattern by Adaptive Rounding Radius Loop Adjustments for Precision and Performance in End Milling Operations by Santhakumar Jayakumar, Sathish Kannan, Poongavanam Ganeshkumar, U. Mohammed Iqbal

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The patterns of changes in the degree of lubrication of the crankshaft bearings of car engines depending on the parameters of the load-speed modes of operation by A. Gypka, V. Aulin, O. Lyashuk, A. Hrynkiv, V. Hud

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Inter-Turn Fault Diagnosis of Induction Motors Based on Current Vector Pattern Analysis in Stationary Coordinate Frame by Inyeol Yun, Hyunwoo Kim, Ju Lee, Sung-Gu Lee

“…In this study, a current vector pattern is analyzed for inter-turn fault (ITF) diagnosis of induction machines (IMs), and an ITF diagnosis algorithm is proposed. …”
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The Impact of Using Laser and Milling Techniques to Create Zirconia Patterns on <i>Streptococcus oralis</i> Biofilm Formation by Neusa Silva, Joana Marques, João Caramês, Filipe Silva, António Mata, Mariana Brito da Cruz

“…This study aimed to evaluate zirconia dental implant surfaces patterned using Nd:YAG laser or conventional milling techniques against <i>Streptococcus oralis</i> adhesion and biofilm formation. …”
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Development of a High‐Latitude Convection Model by Application of Machine Learning to SuperDARN Observations by W. A. Bristow, C. A. Topliff, M. B. Cohen

“…It is found that even though the models in each bin are independent of one another a coherent convection pattern is formed when the models are viewed in aggregate. …”
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Joint Transfer Extreme Learning Machine with Cross-Domain Mean Approximation and Output Weight Alignment by Shaofei Zang, Dongqing Li, Chao Ma, Jianwei Ma

“…With fast learning speed and high accuracy, extreme learning machine (ELM) has achieved great success in pattern recognition and machine learning. …”
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Current Status and Future Potential of Machine Learning in Diagnostic Imaging of Endometriosis : A Literature Review by Palpasa Shrestha, Bibek Shrestha, Jati Shrestha, Jun Chen

“…Images can be analyzed using machine learning, a pattern recognition method. The machine learning algorithm first computes the image characteristics deemed significant for making predictions or diagnoses about unseen images. …”
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From Pixels to Prognosis: Artificial Intelligence and Machine Learning Models in Brain Tumour Mutation Prediction by Quratulain Tariq, Eisha Abid Ali, Saad bin Anis, Irfan Yousaf, Ahmer Nasir Baig, Muhammad Shahzad Shamim

“…Artificial intelligence and machine learning are forging new paths through diagnostic obstacles, offering the intriguing benefits of non-invasive diagnosis, pattern recognition, and outcome prediction from imaging data. …”
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Spatial sample weighted machine learning for multitemporal land cover change modeling with imbalanced datasets by Alysha van Duynhoven, Suzana Dragićević

“…Despite the widespread use of machine learning (ML) models for geospatial applications, adaptations to imbalanced multitemporal land cover (LC) datasets remain underexplored. …”
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