Energy-Efficient Federated Learning for Internet of Things: Leveraging In-Network Processing and Hierarchical Clustering by M. Baqer

“…This approach enhances energy efficiency through single-round pattern recognition, minimizing the need for multiple communication rounds to achieve convergence. …”
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Classification of reduction invariants with improved backpropagation by S. M. Shamsuddin, M. Darus, M. N. Sulaiman

“…On the other hand, backpropagation network has been used extensively in classification problems such as XOR problems, share prices prediction, and pattern recognition. This paper proposes an improved error signal of backpropagation network for classification of the reduction invariants using principal component analysis, for extracting the bulk of the useful information present in moment invariants of handwritten digits, leaving the redundant information behind. …”
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Distance-Based Fractional Dimension of Certain Wheel Networks by Hassan Zafar, Muhammad Javaid, Mamo Abebe Ashebo

“…The metric dimension has a wide range of applications in the field of computer science such as integer programming, radar tracking, pattern recognition, robot navigation, and image processing. …”
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Rolling Bearing Fault Diagnostic Method Based on VMD-AR Model and Random Forest Classifier by Te Han, Dongxiang Jiang

“…Finally, a novel random forest (RF) classifier is put forward for pattern recognition in the field of rolling bearing fault diagnosis. …”
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Education, Quality and the Digital Transformation by N. E. Serditova, A. V. Belotserkovsky

“…The necessity to develop universal competencies in the field of information and communication technologies, as well as skills for using methods of pattern recognition theory, which is fundamental for deep machine learning, is noted. …”
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NOD1: a metabolic modulator by Ruobing Tang, Chunguang Xie, Chunguang Xie, Chunguang Xie, Xiyu Zhang, Xiyu Zhang, Xiyu Zhang

“…Nucleotide-binding oligomerization domain 1 (NOD1) is an intracellular pattern recognition receptor that detects injury signals and initiates inflammatory responses and host defense. …”
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Wavelet Analysis of Shower Track Distribution in High-Energy Nucleus-Nucleus Collisions by Provash Mali, Soumya Sarkar, Amitabha Mukhopadhyay, Gurmukh Singh

“…A continuous wavelet analysis is performed for pattern recognition of charged particle emission data in 28Si-Ag/Br interaction at 14.5A GeV and in 32S-Ag/Br interaction at 200A GeV. …”
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A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction by SongTao Zhang, LiHong Yang

“…The approach integrates real-time Ensemble Kalman Filtering (EnKF) with the K-Nearest Neighbors (KNN) algorithm, combining dynamic real-time adjustments with pattern recognition techniques tailored to the specific dynamics of epidemics. …”
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Modeling of Human Skin by the Use of Deep Learning by Xin Xiong, Xuexun Guo, Yiping Wang

“…Deep learning (DL) has matured well over time and resonated in various domains of computer applications. Pattern recognition gets more attention in machine learning field to take advantage of data available for modern life. …”
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An Automatic Detection Method of Nanocomposite Film Element Based on GLCM and Adaboost M1 by Hai Guo, Jinghua Yin, Jingying Zhao, Yuanyuan Liu, Lei Yao, Xu Xia

“…An automatic detection model adopting pattern recognition technology is proposed in this paper; it can realize the measurement to the element of nanocomposite film. …”
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Secure and Privacy Enhanced Gait Authentication on Smart Phone by Thang Hoang, Deokjai Choi

“…These traditional systems are mostly based on pattern recognition and machine learning algorithms, wherein original biometric templates or extracted features are stored under unconcealed form for performing matching with a new biometric sample in the authentication phase. …”
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An Investigation on Water Quality of Darlik Dam Drinking Water using Satellite Images by Erhan Alparslan, H. Gonca Coskun, Ugur Alganci

“…Finally, WQ in the dam was studied from satellite images of the years 2004, 2005, and 2006 by pattern recognition techniques in order to determine possible water pollution in the dam. …”
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Naive Bayes-Guided Bat Algorithm for Feature Selection by Ahmed Majid Taha, Aida Mustapha, Soong-Der Chen

“…Further improvements in feature selection will positively affect a wide array of applications in fields such as pattern recognition, machine learning, or signal processing. …”
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Deubiquitinases: Novel Therapeutic Targets in Immune Surveillance? by Gloria Lopez-Castejon, Mariola J. Edelmann

“…It occurs when the immune system recognizes Pathogen-Associated Molecular Patterns (PAMPs) or Damage-Associated Molecular Pattern (DAMPs) through the activation of Pattern Recognition Receptors. This initiates a variety of signalling events that conclude in the upregulation of proinflammatory molecules, which initiate an appropriate immune response. …”
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TOPPER: Topology Prediction of Transmembrane Protein Based on Evidential Reasoning by Xinyang Deng, Qi Liu, Yong Hu, Yong Deng

“…It is a typical pattern recognition problem. Various prediction algorithms are developed to predict the transmembrane protein topology since the experimental techniques have been restricted by many stringent conditions. …”
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Viruses Seen by Our Cells: The Role of Viral RNA Sensors by Elias A. Said, Nicolas Tremblay, Mohammed S. Al-Balushi, Ali A. Al-Jabri, Daniel Lamarre

“…Different receptors, known as pattern recognition receptors (PRRs), are present in the cytoplasm, endosomes, and on the cellular surface. …”
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The Role of Toll-Like Receptor 4 in Infectious and Noninfectious Inflammation by Monica Molteni, Sabrina Gemma, Carlo Rossetti

“…Toll-like receptor 4 (TLR4) belongs to the family of pattern recognition receptors (PRRs). They are highly conserved receptors that recognize conserved pathogen-associated molecular patterns (PAMPs), thus representing the first line of defense against infections. …”
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The Advances in Neuromorphic Computing and Brain-Inspired Systems (ANCBIS). by DanielRaj K, Ponseka G, Bharath Sanjai Lordwin D J3

“…Key technologies such as memristive devices, spiking neural networks, and brain-inspired learning algorithms show promise in applications like pattern recognition, sensory processing, and autonomous decision-making. …”
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Identifying preseizure state in intracranial EEG data using diffusion kernels by Dominique Duncan, Ronen Talmon, Hitten P. Zaveri, Ronald R. Coifman

“…Diffusion mapping provides dimensionality reduction of the data as well as pattern recognition that can be used to distinguish different states of the patient, for example, interictal and preseizure. …”
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A Hybrid Fuzzy Genetic Algorithm for an Adaptive Traffic Signal System by S. M. Odeh, A. M. Mora, M. N. Moreno, J. J. Merelo

“…FLCs have been widely used in many applications in diverse areas, such as control system, pattern recognition, signal processing, and forecasting. …”
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