Comparative Analysis of Measurement Tools in the Cognex D900 Vision System by Daniel Jancarczyk, Jacek Rysiński, Jakub Worek

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Theoretical approaches to detecting anomalies in meter readings in scientific literature by D.V. Furikhata, T.A. Vakalyuk

“…Particular attention is paid to analysing the effectiveness of various machine learning algorithms for anomaly detection. …”
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AI generations: from AI 1.0 to AI 4.0 by Jiahao Wu, Hengxu You, Jing Du

“…AI 1.0 accompanied breakthroughs in pattern recognition and information processing, fueling advances in computer vision, natural language processing, and recommendation systems. …”
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Mobile Robot Positioning with Wireless Fidelity Fingerprinting and Explainable Artificial Intelligence by Hüseyin Abacı, Ahmet Çağdaş Seçkin

“…This paper proposes a machine learning-based method for Wi-Fi-enabled robot positioning in indoor environments. …”
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A Review on Language-Independent Search on Speech and its Applications by Sushil Venkatesh Kulkarni, Sukomal Pal

“…Speech recognition enables human-machine communication through a variety of voice commands and clear instructions. …”
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Fault Detection and Classification of Power Plant Using Neural Networks by Rawaa J. Hussein, Khalaf S. Gaeid, Amin Al-Habaibeh

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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…., vibration, acoustic, strain), signal preprocessing methods, signal processing and feature extraction techniques covering time-domain, frequency-domain, time–frequency domain combination, and modal analysis among others, and the use of machine learning and artificial intelligence models for fault pattern learning and diagnosis. …”
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Towards a unified framework for single‐cell ‐omics‐based disease prediction through AI by Matteo Barberis, Jinkun Xie

“…Parallel advances in artificial intelligence (AI), particularly in pattern recognition, feature extraction and predictive modelling, now offer unprecedented opportunities to translate these insights into clinical applications. …”
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Towards decoding motor imagery from EEG signal using optimized back propagation neural network with honey badger algorithm by Zainab Hadi-Saleh, Mohammad Mosleh, Mohamed Adel Al-Shahe, Mahdi Mosleh

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Analysis of precancerous lesion-related microRNAs for early diagnosis of cervical cancer in the Thai population by Rooge Suvanasuthi, Suwanit Therasakvichya, Potjanee Kanchanapiboon, Chamras Promptmas, Sarin Chimnaronk

“…Abstract The incidence rate of cervical cancer (CC) is three times greater in Southeast Asia (SEA), where screening tests are less common than in Northern America, underlining a need for convenient self-diagnostic methods. The expression pattern of microRNAs (miRNAs) has been considered a molecular tool for non-invasive cancer diagnosis and prognosis. …”
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Comparative framework for analyzing distance metrics in high-dimensional spaces by Дмитро Чернишов, Михайло Козюберда

“…This contributes to more accurate and efficient analytical processes across various fields, including machine learning, data mining, and pattern recognition. …”
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C2IDTL: Novel Click to Image Conversion Approach for Deep Transfer Learning in Click Fraud Detection on Digital Platforms by Channa Fernando, Chamila Walgampaya, Janaka Alawatugoda

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Understanding the Borderline Brain: A Review of Neurobiological Findings in Borderline Personality Disorder (BPD) by Eleni Giannoulis, Christos Nousis, Ioanna-Jonida Sula, Maria-Evangelia Georgitsi, Ioannis Malogiannis

“…Machine learning models achieve a classification accuracy of 70–88% and may support the tracking of early treatment responses. …”
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Seismic clusters and fluids diffusion: a lesson from the 2018 Molise (Southern Italy) earthquake sequence by Stefania Gentili, Piero Brondi, Giuliana Rossi, Monica Sugan, Giuseppe Petrillo, Jiancang Zhuang, Stefano Campanella

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Illuminating the Hierarchical Segmentation of Faults Through an Unsupervised Learning Approach Applied to Clouds of Earthquake Hypocenters by E. Piegari, G. Camanni, M. Mercurio, W. Marzocchi

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Recent Advances in Resistive Gas Sensors: Fundamentals, Material and Device Design, and Intelligent Applications by Peiqingfeng Wang, Shusheng Xu, Xuerong Shi, Jiaqing Zhu, Haichao Xiong, Huimin Wen

“…Moreover, the incorporation of artificial intelligence (AI) and Internet of Things (IoT) technologies has significantly advanced signal processing, pattern recognition, and long-term operational stability. …”
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Integrating brain-inspired computation with big-data analytics for advanced diagnostics in neuroradiology by Senthil Kumar, J. Ramprasath, V. Kalpana, Manikandan Rajagopal, Maheswaran S, Rupesh Gupta

“…Methods: The BDA-D architecture utilizes data mining, pattern recognition, and machine learning to glean useful neuroanatomical characteristics from massive datasets. …”
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Plant photosynthesis in basil (C3) and maize (C4) under different light conditions as basis of an AI-based model for PAM fluorescence/gas-exchange correlation by Isabell Pappert, Stefan Klir, Luca Jokic, Celine Ühlein, Khanh Tran Quoc, Ralf Kaldenhoff

“…PAM-derived electron transport rates (ETR) increased with light intensity in a pattern similar to CO2 assimilation, but did not reliably reflect its absolute values under all conditions. …”
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Integrative multi-omics analysis reveals the role of toll-like receptor signaling in pancreatic cancer by Jie Peng, Jiaao Sun, Youfeng Yu, Qihang Yuan, Yong Zhang

“…To explore the development pattern of pancreatic cancer and find an ideal biomarker, our research has explored the mechanism of the TLR pathway in pancreatic cancer. …”
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StructureNet: Physics-Informed Hybridized Deep Learning Framework for Protein–Ligand Binding Affinity Prediction by Arjun Kaneriya, Madhav Samudrala, Harrish Ganesh, James Moran, Somanath Dandibhotla, Sivanesan Dakshanamurthy

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