Integrating Macroeconomic and Technical Indicators into Forecasting the Stock Market: A Data-Driven Approach by Saima Latif, Faheem Aslam, Paulo Ferreira, Sohail Iqbal

“…This outcome is attributed to the complementary strengths of convolutional networks in feature extraction and recurrent networks in pattern recognition. Additionally, an analysis using the Shapley method identifies the volatility index, financial stress index, and economic policy uncertainty as the most significant predictors, underscoring the effectiveness of our data-driven approach. …”
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Stroke Lesion Prediction by Bille-Viper-Segmentation with Tandem-MU-net Model by Beevi Fathima, N Santhi Dr, N Ramasamy Dr

“…Existing methods struggle with flexibility in varying conditions; thus, the Trans-Lucent-Rich Reprise Pattern recognition algorithm for precise identification of infected areas is introduced. …”
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A New Local Optimal Spline Wavelet for Image Edge Detection by Dujuan Zhou, Zizhao Yuan, Zhanchuan Cai, Defu Zhu, Xiaojing Shen

“…Wavelet-based edge detection methods have evolved significantly over the years, contributing to advances in image processing, computer vision, and pattern recognition. This paper proposes a new local optimal spline wavelet (LOSW) and the dual wavelet of the LOSW. …”
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Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by wafiq azizah, soffiana agustin

“…These findings underscore the efficacy of integrating HOG and Texture Moments with the Random Forest algorithm for automated batik pattern recognition.…”
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Peptidoglycan recognition protein PGRP-5 is involved in immune defence and neuro-behavioral disorders in zebrafish embryos. by Xi Li, Guanghua Xiong, Manni Luo, Siwan Mao, Ruiying Zhang, Ziwei Meng, Juan Li, Xinjun Liao

“…Peptidoglycan recognition proteins (PGRPs) are the evolutionarily highly conserved class of pattern recognition receptors, however, their functions on the innate immune system and neuro-inflammatory response in aquatic organism are still poorly understood. …”
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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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Diabetes Is Associated with Increased Autoreactivity of Mannan-Binding Lectin by Esben Axelgaard, Jakob Appel Østergaard, Steffen Thiel, Troels Krarup Hansen

“…Mannan-binding lectin (MBL) has been reported to be involved in the pathophysiology of diabetic nephropathy. MBL is a pattern-recognition molecule of the innate immune system that initiates the lectin pathway of the complement system upon recognition of evolutionary conserved pathogen-associated molecular patterns or to altered self-tissue. …”
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Some Novel Cosine Similarity Measures Based on Complex Hesitant Fuzzy Sets and Their Applications by Ronnason Chinram, Tahir Mahmood, Ubaid Ur Rehman, Zeeshan Ali, Aiyared Iampan

“…Moreover, we use our described SMs and weighted SMs of CHFS in the environment of medical diagnosis and pattern recognition to assess the practicality and competence of the described SMs. …”
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Secretory Products of Trichinella spiralis Muscle Larvae and Immunomodulation: Implication for Autoimmune Diseases, Allergies, and Malignancies by Ljiljana Sofronic-Milosavljevic, Natasa Ilic, Elena Pinelli, Alisa Gruden-Movsesijan

“…This review focuses on studies of the molecules released by T. spiralis, their interaction with pattern recognition receptors on antigen presenting cells, and subsequently provoked responses. …”
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Application of hybrid gate recurrent unit for in-store trajectory prediction based on indoor location system by Yi Zuo, Junhao Jiang, Katsutoshi Yada

“…After reviewing relatively previous studies, scholars mostly pursue customer segmentation and classification tasks based on trajectory, this paper briefly focus on regression analysis and pattern recognition of original trajectory itself. This paper also includes two improvements of experimental and methodological design. …”
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An Attention-Based Multidimensional Fault Information Sharing Framework for Bearing Fault Diagnosis by Yunjin Hu, Qingsheng Xie, Xudong Yang, Hai Yang, Yizong Zhang

“…Deep learning has performed well in feature extraction and pattern recognition and has been widely studied in the field of fault diagnosis. …”
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The impact of innate immune response on the efficacy of oncolytic viruses by Kirill N. Trachuk, Nikolai B. Pestov, Yulia K. Biryukova, Nadezhda M. Kolyasnikova

“…The review presents current data on the influence of pattern recognition receptors on the effectiveness of oncolytic viruses.…”
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Modeling the Smart Factory Manufacturing Products Characteristics: The Perspective of Energy Consumption by A.B.M. Salman Rahman, Myeongbae Lee, Jonghyun Lim, Yongyun Cho, Changsun Shin

“…It depicts the link between energy consumption, demand, and various industrial goods by pattern recognition. The correlation technique is utilized in this study to figure out the link between energy usage and the weight of various materials used in product manufacturing. …”
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A comprehensive review on early detection of drusen patterns in age-related macular degeneration using deep learning models by Kiruthika M, Malathi G

“…The area of the retina where drusen forms were identified by image segmentation, and then these deposits were automatically recognized through pattern recognition techniques.…”
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Performance Analysis: AI-based VIST Audio Player by Microsoft Speech API by Ribwar Bakhtyar Ibrahim

“…Researchers have adopted many techniques to solve speech recognition challenges under the umbrella of Artificial Intelligence (AI), Pattern Recognition and Acoustic Phonetic approaches. Variation in pronunciation of words, individual accents, unwanted ambient noise, speech context, and quality of input devices are some of these challenges in speech recognition. …”
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A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series by Thi-Thu-Hong Phan, André Bigand, Émilie Poisson Caillault

“…The completion of missing values is a prevalent problem in many domains of pattern recognition and signal processing. Analyzing data with incompleteness may lead to a loss of power and unreliable results, especially for large missing subsequence(s). …”
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The extension of the largest generalized-eigenvalue based distance metric ) in arbitrary feature spaces to classify composite data points by Mosaab Daoud

“…Analyzing patterns in data points embedded in linear and non-linear feature spaces is considered as one of the common research problems among different research areas, for example: data mining, machine learning, pattern recognition, and multivariate analysis. In this paper, data points are heterogeneous sets of biosequences (composite data points). …”
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Toll-like receptor 2/6-stimulated HMC-1 mast cells promote keratinocyte migration in wound healing. by Jiyun Kwon, Kyung-Ah Cho, So-Youn Woo

“…Mast cells, immune sentinels that respond to various stimuli in barrier organs, provide defense by expressing pattern recognition receptors, such as Toll-like receptors (TLRs). …”
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Global Autorecognition and Activation of Complement by Mannan-Binding Lectin in a Mouse Model of Type 1 Diabetes by Esben Axelgaard, Jakob Appel Østergaard, Saranda Haxha, Steffen Thiel, Troels Krarup Hansen

“…MBL is a complement-activating pattern recognition molecule of the innate immune system that can mediate an inflammation response through activation of the lectin pathway. …”
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A Reliable Method for Identification of Antibiotics by Terahertz Spectroscopy and SVM by Jin Guo, Hu Deng, Quancheng Liu, Linyu Chen, Zhonggang Xiong, Liping Shang

“…Thus, our study does not only confirm that the t-SNE-PSO-SVM model proves to be a reliable method for antibiotics identification, but also confirms that the combination of THz-TDS and chemometric pattern recognition has great potential for drug detection.…”
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