The Emerging Role of TLR and Innate Immunity in Cardiovascular Disease by Rolf Spirig, Janice Tsui, Sidney Shaw

“…As sentinels of innate immunity TLRs are nonclonally germline-encoded molecular pattern recognition receptors that recognize exogenous as well as tissue-derived molecular dangers signals promoting inflammation. …”
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Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment by Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining the classification result. …”
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Tweaking Innate Immunity: The Promise of Innate Immunologicals as Anti-Infectives by Kenneth L Rosenthal

“…The innate immune system uses multiple families of germline-encoded pattern recognition receptors (PRRs) to detect infection and trigger a variety of antimicrobial defense mechanisms. …”
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Defect detection based on extreme edge of defective region histogram by Zouhir Wakaf, Hamid A. Jalab

“…Automatic thresholding has been used by many applications in image processing and pattern recognition systems. Specific attention was given during inspection for quality control purposes in various industries like steel processing and textile manufacturing. …”
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An art-science perspective on artificial intelligence creativity: From problem finding to materiality and embodied cognition by Robert Root-Bernstein

“…., of which AI systems are capable only of pattern forming and pattern recognition. Thus, the challenges for developing true AI creativity are extensive.…”
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Dynamic Gesture Recognition and Interaction of Monocular Camera Based on Deep Learning by SUNBo wen, YU Feng

“…Then, the matrix of binary graph is introduced into the neural network as a parameter for deep learning pattern recognition. Through convolution and fullconnected network structure, as well as optimization of parameter selection and prevention of overfitting, combined with fingertip detection and elimination algorithm, the recognition accuracy is improved. …”
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Research on Intelligent Classification of Ultrasonic Phased Array Image of Welding Seam of Naval Gun Cradle by Wenjing Liu, Erqing Zhang, Jianguo Wang, Shaofeng Wang, Shunzhou Huang

“…The experimental results show that the advanced features obtained by the improved sparse autoencoder proposed in this paper are better than the original features in pattern recognition. This network can be used to more accurately identify the types of internal defects in the welds of naval gun mounts.…”
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Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting by Mamika Ujianita Romdhini, Faisal Al-Sharqi, R.H. Al-Obaidi, Zahari Md. Rodzi

“…Furthermore, we introduce a similarity measure to facilitate pattern recognition in PIVFHS-sets, aiding users in recruitment processes. …”
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Robust Semisupervised Nonnegative Local Coordinate Factorization for Data Representation by Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang

“…Obtaining an optimum data representation is a challenging issue that arises in many intellectual data processing techniques such as data mining, pattern recognition, and gene clustering. Many existing methods formulate this problem as a nonnegative matrix factorization (NMF) approximation problem. …”
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Human Action Recognition Based on The Skeletal Pairwise Dissimilarity by E.E. Surkov, O.S. Seredin, A.V. Kopylov

“…The main idea of the paper is to apply the principles of featureless pattern recognition to human activity recognition problem. …”
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Point rotation invariant features and attention fusion network for point cloud registration of 3D shapes by Zeyang Liu, Zhiguo Lu, Yancong Shan

“…The model is trained on the ModelNet40 (Wu et al. in: Proceedings of the IEEE conference on computer vision and pattern recognition, pp 1912–1920, 2015) dataset and evaluated on both ModelNet40 and ShapeNet (Chang et al. in Shapenet: an information-rich 3d model repository, 2015. arXiv:1512.03012 ) datasets, demonstrating its generalization capabilities. …”
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Mapping the lacunae between neurodivergent individuals and work organizations by Vasundharaa S. Nair, Sudipt Kumar, Sushant Bhargava

“…Simultaneously, the findings underscore the unique strengths of neurodivergent employees, such as pattern recognition and innovative problem-solving skills, which are increasingly valuable in modern organizations.The review emphasizes the need for nuanced HRM practices that go beyond deficit-based approaches, advocating for proactive interventions such as manager training, tailored accommodations, and cultural shifts to foster neurodivergent inclusive workplaces. …”
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Securing Automotive Networks from DoS and Fuzzy Attacks with Optimized LSTM Models by W. Beniel Dennyson, C. Jothikumar

“…The LSTM-based temporal pattern recognition system detects anomalous message sequences and real-time countermeasures for mitigating DoS and fuzzy attacks. …”
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L2R-MLP: a multilabel classification scheme for the detection of DNS tunneling by Emmanuel Oluwatobi Asani, Mojiire Oluwaseun Ayoola, Emmanuel Tunbosun Aderemi, Victoria Oluwaseyi Adedayo-Ajayi, Joyce A. Ayoola, Oluwatobi Noah Akande, Jide Kehinde Adeniyi, Oluwambo Tolulope Olowe

“…L2 regularization in the MLP classifier's hidden layers enhances pattern recognition during training, effectively countering the risk of overfitting. …”
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A SVM Approach of Aircraft Conflict Detection in Free Flight by Xu-rui Jiang, Xiang-xi Wen, Ming-gong Wu, Ze-kun Wang, Xi Qiu

“…In this article, aircraft conflict detection is considered as a binary classification problem; therefore, it can be solved by a pattern recognition method. A potential conflict would be identified, as long as its flight data features are extracted and fed to a classifier which has been trained by a large number of flight datasets. …”
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Data-driven price trends prediction of Ethereum: A hybrid machine learning and signal processing approach by Ebenezer Fiifi Emire Atta Mills, Yuexin Liao, Zihui Deng

“…This method stands out from prior research, primarily based on time series analysis, by enhancing pattern recognition across time and frequency domains. This adaptability leads to better prediction capabilities with accuracy reaching 76.56% in a highly chaotic market such as cryptocurrency. …”
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RIG‐I antiviral signaling drives interleukin‐23 production and psoriasis‐like skin disease by Huiyuan Zhu, Fangzhou Lou, Qianqian Yin, Yuanyuan Gao, Yang Sun, Jing Bai, Zhenyao Xu, Zhaoyuan Liu, Wei Cai, Fang Ke, Lingyun Zhang, Hong Zhou, Hong Wang, Gang Wang, Xiang Chen, Hongxin Zhang, Zhugang Wang, Florent Ginhoux, Chuanjian Lu, Bing Su, Honglin Wang

“…Thus, our data suggest that the dysregulation in the antiviral immune responses of hosts through the innate pattern recognition receptors may trigger the skin inflammatory conditions in the pathophysiology of psoriasis.…”
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MKNNet: Knowledge-aligned multimodal transformer for information retrieval by Xiaoqin Lin, Chentao Han, Jian Yao, Yue Li, Xujun Wang, Shufeng Jia

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The Synergy of Minds and Machines: Rethinking the AI-HI Relationship through Dialectical Reconstruction by Ridwan Ishola MOGAJI, Adewale Oluwaseun MOTADEGBE

“…Artificial intelligence on the other hand is the simulation of human cognitive functions by machines, especially in tasks such as problem-solving, pattern recognition, and decision-making, which often operates based on algorithms and data, both of which are unique and important in themselves. …”
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Exploring short-term memory and listening effort in two-talker conversations: The influence of soft and moderate background noise. by Chinthusa Mohanathasan, Cosima A Ermert, Janina Fels, Torsten W Kuhlen, Sabine J Schlittmeier

“…In Experiment 1, this secondary task was a visual number-judgment task, whereas in Experiments 2 and 3, it was a vibrotactile pattern recognition task. All experiments were conducted in a quiet environment or under continuous broadband noise. …”
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