Robust multi-source geographic entities matching by maximizing geometric and semantic similarity by YuHan Yan, PengDa Wu, Yong Yin, PeiPei Guo

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Dual Branch Graph Representation Learning-Based Approach for Next Point-of-Interest Recommendation by Guoning Lv, Min Gao

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Reconfigurable mmWave Planar Phased Array Featuring Wide Elevation and Full Azimuth Spatial Coverage for 5G Vehicular Application by Saiful Islam, Hanvit Kim, Tuyen Dinh Nguyen, Sunwoo Kim, Hyoungsuk Yoo

“…A wide-spatial coverage, low-profile, pattern reconfigurable, millimeter-wave antenna array designed for Vehicle-to-Everything (V2X) communication systems, crucial for fifth-generation wireless networks. …”
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Diet Patterns Featuring Western-Style and Low-Preparation Foods Differentially Relate to Cognitive Function in Early Childhood From the STRONG Kids 2 Birth Cohort Study by Arden L McMath, Shelby A Keye, Jennifer M Barton, Corinne N Cannavale, Samantha J Iwinski, Kelly F Bost, Sharon M Donovan, Naiman A Khan

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Fingerprint Matching for Noisy and Distorted Patterns Using a Siamese Network With ResNet50 and Multihead Attention by Tinny Sawhney, Ashu Sharma, Pawanesh Abrol, Parveen Kumar Lehana, Chaahat, Vaishali Yadav, Rafal scherer, Oleksii Kulakov, Ahmad Ali Alzubi

“…Dermatoglyphics, the study of unique ridge patterns on fingertips, plays a crucial role in fingerprint-based identification. …”
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Early Remaining Useful Life Prediction for Lithium-Ion Batteries Using a Gaussian Process Regression Model Based on Degradation Pattern Recognition by Linlin Fu, Bo Jiang, Jiangong Zhu, Xuezhe Wei, Haifeng Dai

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Association between land use features and changes in walking patterns from pre-pandemic to post-pandemic: A case study of city of Sydney (2013–2023) by Fatemeh Nourmohammadi, Zahra Nourmohammadi, Tanapon Lilasathapornkit, Meead Saberi

“…This study aims to investigate and describe the association between urban population and land-use features, as well as changes in the spatio-temporal patterns of walking from pre-pandemic to post-pandemic through a case study of the city of Sydney, Australia, using 11 years of pedestrian count data from 2013 to 2023. …”
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Performance Comparison of Facial Emotion Recognition: Introducing a Model within the Driver Assistance Framework based on Deep Learning with LBP Feature Extraction for In-Vehicle A... by Ehsan Ghasemi, Seyyed Mohammad Razavi, Sajad Mohamadzadeh

“…Secondly, the Local Binary Patterns (LBP) feature descriptor is utilized to extract features from the identified eye, nose, and mouth regions. …”
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T‐SNERF: A novel high accuracy machine learning approach for Intrusion Detection Systems by Mohamed Hammad, Nabil Hewahi, Wael Elmedany

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Motif clustering and digital biomarker extraction for free-living physical activity analysis by Ya-Ting Liang, Charlotte Wang

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On the Behaviour of Weighted Permutation Entropy on Fractional Brownian Motion in the Univariate and Multivariate Setting by Marisa Mohr, Florian Wilhelm, Ralf Möller

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You Only Look Once v8 Cattle Identification Based on Muzzle Print Pattern Using ORB and Fast Library for Approximate Nearest Neighbor Algorithms by Allan Josef Balderas, Kaila Mae A. Pangilinan, Meo Vincent C. Caya

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EEG-Driven Arm Movement Decoding: Combining Connectivity and Amplitude Features for Enhanced Brain–Computer Interface Performance by Hamidreza Darvishi, Ahmadreza Mohammadi, Mohammad Hossein Maghami, Meysam Sadeghi, Mohamad Sawan

“…We propose that combining amplitude-based (filter bank common spatial patterns, FBCSP) and phase-based connectivity features (phase-locking value, PLV) improves decoding accuracy. …”
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A survey on fish classification techniques by Mutasem K. Alsmadi, Ibrahim Almarashdeh

“…Fish classification (FC) is an expansively studied problem in the domains of image segmentation, pattern recognition, and information retrieval. It has been applied in a countless number of domains including target marketing. …”
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Evaluation of the Proposed Hand Vein Authentication System using Machine Learning by rajaa ahmed, Ziyad Tariq Mustafa Al-Ta’i

Subjects: “…Biometric authentication, hand vein patterns, machine learning, feature extraction.…”
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Advancing patient care with AI: a unified framework for medical image segmentation using transfer learning and hybrid feature extraction by Nazife Çevik, Taner Çevik, Onur Osman, Shtwai Alsubai, Jawad Rasheed, Jawad Rasheed, Jawad Rasheed

“…Moreover, the study applied classical texture-based feature extraction methods, namely Local Binary Patterns (LBP) and Gray-Level Co-occurrence Matrix (GLCM), processing each Red Green Blue (RGB) channel separately using an offset [0 1] and recombining them to create comprehensive texture descriptors. …”
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FEATURES OF REGIONAL INNOVATION POLICY IN BUILDING A MODEL OF SUSTAINABLE DEVELOPMENT OF THE TERRITORIES by Vladimir N. Kruglov, Sergei A. Orekhov

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Wisdom of the Established Pattern by Joel Janhonen

“…Disposition to Resist Change Dispositions are enduring patterns of mental processing. As our inherent qualities, they direct our reactions toward changes transpiring around us. …”
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The pattern of 24-hour Holter ECG monitoring parameters and features of structural and functional state of the myocardium depending on aldosterone level in patients with arterial hypertension and frequent recurrences of atrial fibrillation by V. P. Ivanov, T. D. Danilevych

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Comparison of Patterns Shapes and Patterns Texture for Identification of Malaria Parasites in Microscopic Image by Jani Kusanti

“…This study aimed to compare the level of accuracy in the results to identify and classify parasites based on the pattern shape and texture patterns. The comparison is based on the characteristics of the pattern used, the steps being taken in this study is the image quality improvement process, the process of segmentation with Otsu method, feature extraction process on the image data to be tested. …”
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