An efficient supervised framework for music mood recognition using autoencoder‐based optimised support vector regression model by Gaurav Agarwal, Hari Om

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Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Privacy protection scheme of DBSCAN clustering based on homomorphic encryption by Chunfu JIA, Ruiqi LI, Yafei WANG

“…In order to reduce the risk of data privacy leakage in the process of outsourced clustering, a privacy protection scheme of DBSCAN clustering based on homomorphic encryption was proposed.In order to encrypt the float data in the actual scene, three data preprocessing methods for different data accuracy were given, and a policy for choosing a proper data preprocessing method based on data characteristics, accuracy and computational cost was also proposed.For the ciphertext comparison operation that was not supported by homomorphic encryption, a protocol between the client and the cloud server was designed to realize the function of ciphertext comparison.Theoretical analysis and experimental results show that the proposed scheme can ensure the security of data privacy, and has a higher clustering accuracy rate and lower time overhead.…”
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Modern Methods for Diagnosing Faults in Rotor Systems: A Comprehensive Review and Prospects for AI-Based Expert Systems by Oleksandr Roshchupkin, Ivan Pavlenko

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Multi-Modal Comparative Analysis on Audio Dub Detection Using Artificial Intelligence by Divya Jennifer Dsouza, Anisha P. Rodrigues, Roshan Fernandes

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Analyzing Data Incompleteness for MRI Data for Quality Enhancement by Sanjay Shanbhag, Supreetha Raju, Varadraj P. Gurupur, S. Sowmya Kamath, Rajesh N. V. P. S. Kandala, Elizabeth A. Trader, Shyam Lal

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TRANSFORMATIVE TECHNOLOGIES by Grzegorz Bryda, António Pedro Costa

“…This reflection explores the integration of artificial intelligence (AI) and advanced visualisation techniques within computer-assisted qualitative data analysis software (CAQDAS) tools. …”
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Enhancing Dongba Pictograph Recognition Using Convolutional Neural Networks and Data Augmentation Techniques by Shihui Li, Lan Thi Nguyen, Wirapong Chansanam, Natthakan Iam-On, Tossapon Boongoen

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Machine learning algorithms for manufacturing quality assurance: A systematic review of performance metrics and applications by Ashfakul Karim Kausik, Adib Bin Rashid, Ramisha Fariha Baki, Md Mifthahul Jannat Maktum

“…Performance metrics include accuracy, precision, speed, recall, computational efficiency, scalability, and real-time processing capabilities. …”
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Interval-based principal component analysis for reliable fault detection under data uncertainty by Raoudha Bel Hadj Ali, Anissa Ben Aicha, Belkhiria Kamel, Gilles Mourot, Majdi Mansouri

“…Principal Component Analysis (PCA) has gained widespread use in industrial process monitoring due to its ability to model high-dimensional data and detect abnormal events. …”
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Innovative and Interactive Technologies in Creative Product Design Education: A Review by Ioanna Nazlidou, Nikolaos Efkolidis, Konstantinos Kakoulis, Panagiotis Kyratsis

“…The findings highlight several categories of technologies utilized in design education, including virtual and augmented reality, robotics, interactive embedded systems, immersive technologies, and computational intelligence systems. These technologies are primarily integrated as supportive tools throughout different stages of the design process within learning environments. …”
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A Multicriteria Evaluation of Single Underwater Image Improvement Algorithms by Iracema del P. Angulo-Fernández, Javier Bello-Pineda, J. Alejandro Vásquez-Santacruz, Rogelio de J. Portillo-Vélez, Pedro J. García-Ramírez, Luis F. Marín-Urías

“…For this research’s target application of generating underwater photomosaics, the Dark Channel Prior (DCP) algorithm emerged as the most suitable under a weighting scheme of 75% for processing time and 25% for keypoint increase. This proposal represents a solution for evaluating improvement algorithms in applications where computational efficiency is critical.…”
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Kinematics of Supernova Remnants Using Multiepoch Maximum Likelihood Estimation: Chandra Observation of Cassiopeia A as an Example by Yusuke Sakai, Shinya Yamada, Toshiki Sato, Ryota Hayakawa, Nao Kominato

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Adaptive Spatial Lattice Manufacturing (ASLM): A novel approach to efficient lattice structure production by Justin Dirrenberger, Pierre Lapouge, Rachel Azulay, Peter Evers, Tom Vroemen

“…This paper introduces the ASLM process, detailing its computational design principles, build mechanics, and material compatibility using AISI 316L stainless steel. …”
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Editorial: Large Language Models for medical applications by Ariel Soares Teles, Alaa Abd-alrazaq, Thomas F. Heston, Rafat Damseh, Lívia Ruback

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Error Analysis of Trigonometry Students in a Technological University by Catalino L. Centillas Jr., Christian Caben M. Larisma

“…Thus, students had learned some concepts defectively. Generally, processing the error of the students needs teachers' consideration through process-focus instruction. …”
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Parametric Analytical Modulation Transfer Function Model in Turbid Atmosphere with Application to Image Restoration by Mengxing Guo, Pengfei Wu, Zizhao Fan, Hao Lu, Ruizhong Rao

“…This approach represents a novel solution to the challenges of image processing in complex atmospheric environments.…”
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Nanosilicates and molecular silicate dust species: properties and observational prospects by Stefan T. Bromley, Stefan T. Bromley

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The potential of artificial intelligence (AI) to improve electronic word-of-mouth's (eWOM) efficacy by Baltezarević Radoslav V., Kwiatek Piotr B.

“…Opinion mining, (sentiment analysis), is a popular subdomain in Natural language processing (NLP) which allows for transforming qualitative data into quantitative information. …”
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Bilateral Olecranon and Left Lesser Trochanter Avulsion Fractures in Renal Osteodystrophy: A Rare Case Report and Comprehensive Review by Vijay Papineni, Rajesh Botchu, Kartikeyan P. Iyengar, Shashank Chapala, Asad Rabbani Shah, Balamurugan Rathinavelu

“…This review summarizes the role of imaging (Radiography, US, Computed Tomography, and Magnetic Resonance Imaging) in assessing avulsion fractures in patients with end-stage renal disease. …”
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