A weighted pattern matching approach for classification of imbalanced data with a fireworks-based algorithm for feature selection by N. K. Sreeja

“…This paper proposes a novel instance-based classification algorithm called Weighted Pattern Matching based Classification (PMC+) for classifying imbalanced data. …”
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Do New World pitvipers “scale‐down” at high elevations? Macroecological patterns of scale characters and body size by Robert C. Jadin, Joseph R. Mihaljevic, Sarah A. Orlofske

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A novel energy pattern factor-based optimized approach for assessing Weibull parameters for wind power applications by Ghulam Abbas, Arshad Ali, Mohamed Tahar Ben Othman, Muhammad Wasim Nawaz, Ateeq Ur Rehman, Habib Hamam

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Predicting correlation relationships of entities between attack patterns and techniques based on word embedding and graph convolutional network by Weicheng QIU, Xiuzhen CHEN, Yinghua MA, Jin MA, Zhihong ZHOU

“…Threat analysis relies on knowledge bases that contain a large number of security entities.The scope and impact of security threats and risks are evaluated by modeling threat sources, attack capabilities, attack motivations, and threat paths, taking into consideration the vulnerability of assets in the system and the security measures implemented.However, the lack of entity relations between these knowledge bases hinders the security event tracking and attack path generation.To complement entity relations between CAPEC and ATT＆amp;CK techniques and enrich threat paths, an entity correlation prediction method called WGS was proposed, in which entity descriptions were analyzed based on word embedding and a graph convolution network.A Word2Vec model was trained in the proposed method for security domain to extract domain-specific semantic features and a GCN model to capture the co-occurrence between words and sentences in entity descriptions.The relationship between entities was predicted by a Siamese network that combines these two features.The inclusion of external semantic information helped address the few-shot learning problem caused by limited entity relations in the existing knowledge base.Additionally, dynamic negative sampling and regularization was applied in model training.Experiments conducted on CAPEC and ATT＆amp;CK database provided by MITRE demonstrate that WGS effectively separates related entity pairs from irrelevant ones in the sample space and accurately predicts new entity relations.The proposed method achieves higher prediction accuracy in few-shot learning and requires shorter training time and less computing resources compared to the Bert-based text similarity prediction models.It proves that word embedding and graph convolutional network based entity relation prediction method can extract new entity correlation relationships between attack patterns and techniques.This helps to abstract attack techniques and tactics from low-level vulnerabilities and weaknesses in security threat analysis.…”
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Novel accurate classification system developed using order transition pattern feature engineering technique with physiological signals by Mehmet Ali Gelen, Prabal Datta Barua, Irem Tasci, Gulay Tasci, Emrah Aydemir, Sengul Dogan, Turker Tuncer, U. R. Acharya

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Hybrid Deep Learning Framework for Continuous User Authentication Based on Smartphone Sensors by Bandar Alotaibi, Munif Alotaibi

“…This research proposes a hybrid deep learning framework that combines techniques from computer vision and sequence modeling, namely, ViT-inspired patch extraction, multi-head attention, and BiLSTM networks, to authenticate users continuously from smartphone sensor data. …”
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A Review of Oscillators in Hydrokinetic Energy Harnessing Through Vortex-Induced Vibrations by Deping Cao, Jie He, Hanqi Zeng, Yijia Zhu, Sean Zixuan Chan, Mark Ravinpal Williams, Ivan Zhi Liang Khor, Omkar Venkata Yalla, Mohammed R. Sunny, Ritwik Ghoshal, Anirban Bhattacharyya, Swapnadip De Chowdhury, Zaibin Lin, Cheng Siong Chin, Hao Chen

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Pattern recognition in SARS cases: insights from t-SNE and k-means clustering applied to COVID-19 symptomatology by Julliana Gonçalves Marques, Bruno Motta de Carvalho, Luiz Affonso Guedes, Márjory Da Costa-Abreu

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On the principles of building a model of a specialist – a graduate of a pedagogical university by K. S. Kаtаеv, S. G. Kаtаеv, I. V. Kаmenskaya

“…The analysis of the data obtained by using methods of multivariate statistics allowed the authors to obtain a variety of relationships between the factors taken into account. In particular, a pattern between the values of psychological scales, the level of competency formation and orientation of students in their choice of future profession was found.Scientific novelty. …”
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APLIKASI CROPWAT 8.0 UNTUK MERENCANAKAN POLA TANAM OPTIMAL DAN MEMAKSIMALKAN HASIL PERTANIAN DI KECAMATAN GUNUNGPATI by Susilawati Cicilia Laurentia, Lesty Arlensietami

“…The Cropwat 8.0 application is part of a computer-based information system (including knowledge-based/knowledge management systems) that is used to support decision making to arrange optimal cropping patterns and maximizing agricultural yields. …”
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Health Culture of a Teacher as a Condition and Opportunity for the Implementation of Health-Preserving Behavior in the Educational Environment by Torkachenko Yu.V.

“…The article presents the results of a study aimed at studying patterns of behavior in the field of health of participants in educational relations. …”
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A novel ViT-BILSTM model for physical activity intensity classification in adults using gravity-based acceleration by Lin Wang, Zizhang Luo, Tianle Zhang

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Investigation on the Coordination Bonding Nature of Actinide-Doped Endohedral Borospherenes An@B₄₀^0/+/− (An = U, Np, Pu, Am, Cm) by Xiao-Ni Zhao, Zhi-Hong Wei, Si-Dian Li

“…The IR, Raman, and photoelectron spectra of the most concerned species are computationally simulated to facilitate their characterizations in future experiments.…”
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Determining the distance patterns in the movements of future doctors in UK between 2002 and 2015: a retrospective cohort study by Jonathan M Read, Colin Melville, Luigi Sedda, Daniel Thomas Smith, Lucy Hitchings, Ben Fleet

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A new human-computer interaction paradigm: Agent interaction model based on large models and its prospects by Yang LIU

“…This study examines the advent of agent interaction (AIx) as a transformative paradigm in human-computer interaction (HCI), signifying a notable evolution beyond traditional graphical interfaces and touchscreen interactions. …”
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Socioeconomic determinants of protective behaviors and contact patterns in the post-COVID-19 pandemic era: A cross-sectional study in Italy. by Michele Tizzani, Laetitia Gauvin

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Multiple patterns of persistent inward currents with multiple types of repetitive firings in medullary serotonergic neurons of mice: An experimental and modeling study. by Yi Cheng, Xingyu Wang, Qiang Zhang, Renkai Ge, Mei Zhou, Yue Dai

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Methodology for Studying Neural Network Descriptors in Solving the Problem of Finding Anatomical Layers in Computed Tomography Images of the Lungs by A. A. Kosareva

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Boosting Cognitive Focus via Attention Types Detection using Brain-Computer Interfaces: A Pilot Study by Mihai-Robert BEU, Tudor DURDUMAN-BURTESCU, David GHEORGHICĂ ISTRATE

“… This study leverages Brain-Computer Interfaces (BCIs) and electroencephalography (EEG) to enhance cognitive focus in adolescents (12–17 years) by classifying effective (task-oriented) and ineffective (distracted) attention states. …”
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Anatomical characteristics and variations of the abdominal aorta and its visceral branches on 128-slice computed to-mography in Vietnamese adults by Ngo Xuan Khoa, Vo Tien Huy, Nguyen The Thai, Nguyen Xuan Hien

“…Classical branching patterns were present in 68.0% for the celiac trunk, 96.3% for the SMA, and 97.4% for the IMA. …”
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