Recurring spoken term discovery in the zero-resource constraint using diagonal patterns by Sudhakar Pandiarajan, Sreenivasa Rao K, Pabitra Mitra

“…Unsupervised approaches resolve this challenge by directly computing pattern matches from the acoustic feature representation of the speech signal. …”
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Forced Convection Heat Transfer in V-Pattern Folded Core Sandwich Structures by Sifeng Li, Zhijin Wang, Chen Zhou

“…Fully developed laminar flow and heat transfer performance of V-pattern folded core sandwich structures subjected to forced convection are numerically investigated. …”
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Osteoarthritis progression pattern based on patient specific characteristics using machine learning by Seong Yun Park, Myeong Ju Kim, Joon Hee Cho, Hee Seung Nam, Jade Pei Yuik Ho, Yong Seuk Lee

“…Abstract This study aimed to identify key factors associated with different progression patterns of early osteoarthritis (OA) by developing a predictive model using patient-specific characteristics. …”
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Composition pattern-aware web service recommendation based on depth factorisation machine by Bing Tang, Mingdong Tang, Yanmin Xia, Meng-Yen Hsieh

“…In order to recommend Web services considering user's preferences, a composition pattern-aware Web service recommendation method called EWACP-DeepFM is proposed, which combines the composition patterns between Web services and Mashups and the co-occurrence and popularity of Web services. …”
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Review of Directed Self-Assembly Material, Processing, and Application in Advanced Lithography and Patterning by Xiuyan Cheng, Di Liang, Miao Jiang, Yufei Sha, Xiaonan Liu, Jinlai Liu, Qingchen Cao, Jiangliu Shi

“…Through novel DSA lithography technology, nanoscale patterns with smaller feature sizes and higher densities can be obtained, realizing the miniaturization of hole and line patterns and pitch multiplication and improving the roughness and local critical dimension uniformity (LCDU). …”
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Ship behavior pattern recognition method based on hybrid graph neural networks by Lin Ma, Lin Ma, Hao Cao, Hao Cao, Guo-You Shi, Guo-You Shi

“…These models leverage standardized automatic identification system data to improve feature extraction and recognition accuracy.ResultsExperimental results demonstrate that the proposed models achieve over 98% accuracy in ship behavioral pattern recognition, with fast convergence and superior performance compared to conventional GNN-based methods.DiscussionThe models provide robust and efficient solutions for maritime traffic analysis, offering significant potential for real-world applications in ship monitoring, intelligent navigation, and maritime safety management.…”
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Student behavior patterns in vocational education big data based on clustering algorithm by Jing Jin

“…This is followed by behavioural analysis and key feature selection for clustering. The appropriate number of clusters is set, and the Euclidean distance is used to measure the similarity between each student and the centre point to complete the division of student behaviour patterns. …”
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Assessing Greece’s social vulnerability patterns in times of perma-crisis (2008–2022) by Michail Melidis, Stylianos Ioannis Tzagkarakis, Nikos Papadakis

“…The second pattern (2017-2022) presents a gradual decline mainly due to the recovery of the economy and a decrease in unemployment rates featuring a strong tendency to reach the pre-crisis levels in the years to come.DiscussionThe high levels of social vulnerability leading to social exclusion, poverty, and the widening of inequalities, impede the country’s resilience and recovery efforts and undermine social cohesion.…”
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Amino Acid Patterns that Determine Antihyperuricemic Activity of Peptides: Identification and Predictive Analysis by Anastasia V. Smirnova, Sergey L. Tikhonov

“…This article introduces reliable amino acid patterns that cause the inhibitory xanthine oxidase (CSR) activity of peptides. …”
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Thunderstorms with Extreme Lightning Activity in China: Climatology, Synoptic Patterns, and Convective Parameters by Ruiyang Ma, Dong Zheng, Yijun Zhang, Wen Yao, Wenjuan Zhang, Biao Zhu

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Pattern transition recognition based on transfer learning for exoskeleton across different terrains by Yifan Gao, Jianbin Zheng, Yang Gao, Ziyao Chen, Jing Tang, Liping Huang

“…Furthermore, spatial attention (SA) provides insight into significant components in multi-dimensional feature selection. Pattern transition recognition based on a transfer learning method achieves higher accuracy and earlier prediction time (Pre-T). …”
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Nasal Profile and Its Relationship with Sagittal Dentoskeletal Pattern and Age in Iranian Adults by Mahdis Jahanbakhsh, Alireza Ghaderi Namin, Zohreh Reyhani, Farzane Ahmadi, Azin Nourian

“… Introduction: The nose, centrally positioned and a prominent facial feature, plays a critical role in facial aesthetics. …”
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An analysis of cyclonic dominant patterns on cold period precipitation in the mid-western of Iran by Rastegar Mohammadi, mohammad saligheh, Mohammad Hossein Naserzadeh, Mehri Akbari

“…The results indicated that the first pattern, identified as the Mediterranean trough pattern, is the most frequent, occurring 42% of the time. …”
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Spatial pattern of Trees in the Riparian Forests (Case Study: Wildlife Refuge of Karkhe) by Shaieste Gholami

“…This method allows assessment of consistency of spatial patterns as well as the scale at which they are expressed. …”
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Influence of Emergent Vegetation Layout on Flow Pattern in a Rectangular Shallow Basin by Junnan LYU, Yuxuan JIANG, Zhidong YAO, Chen YE, Xufeng YAN

“…The findings indicated a transition from bare to vegetated conditions, where an asymmetrical flow pattern featuring two distinct circulation sizes (or dead water zones) evolves into a symmetrical flow pattern with similar circulations. …”
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Clustering of precipitation features by a new validity index over Iran by Sanaz Moghim, Reza Rajabi

“…Study focus: Clustering is an effective approach for climate zoning that identifies areas with similar climatic patterns. This study clusters precipitation data over Iran to identify meaningful regional patterns based on six features, including extreme indices (Rx1day, SDII, R95p, R99p, R10) and monthly average precipitation (Pmon) during 2001–2020. …”
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Associating walkability features with pedestrian activity in a central Athens neighborhood. by Yannis PARASKEVOPOULOS, Stefanos TSIGDINOS, Maria ANDRAKAKOU ANDRAKAKOU

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Feature Analysis for Motor Imagery EEG Signals with Different Classification Schemes by Ismail Sarıtas, Esra Kaya

“…Also, the most efficient feature space was found using Neighborhood Component Analysis. …”
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Predicting danceability and song ratings using deep learning and auditory features by Wei Wu

“…Our model integrates a Bidirectional Long Short-Term Memory (BiLSTM) network to capture sequential and contextual patterns from categorical inputs, alongside a Residual Network (ResNet) that extracts hierarchical representations from numerical auditory features. …”
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Systemic sclerosis in Egyptian population with emphasis on clinical and nailfold capillaroscopic features by Amira Elsonbaty, Manal Hassanien, Abdelhfeez Moshrif, AbdelAzeim Elhefny, Gihan M. Omar, Adel M. Elsayed, Mervat Abo Gabal, Hatem M. Soliman, Rasha A. Abdel-Magied, Sameh Ismail, Mahmoud I. Risha, Hesham Hamoud

“…Abstract To describe various demographic, clinical, laboratory, and capillaroscopic features of Egyptian patients with systemic sclerosis (SSc) and to explore the relation between various capillaroscopic features and internal organ involvement as well as other disease parameters. …”
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