Hybrid quantum neural networks show strongly reduced need for free parameters in entity matching by Lukas Bischof, Stefan Teodoropol, Rudolf M. Füchslin, Kurt Stockinger

“…In this paper, we evaluate quantum machine learning algorithms for entity matching on a hand-crafted data set and compare them to similar classical algorithms. …”
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Applications of Machine Learning in Human Factors and Ergonomics: A Comprehensive Review of Research From the Past Decade by Erman Cakit, Waldemar Karwowski

“…This review not only benchmarks algorithmic performance but also identifies research gaps and provides guidance for future machine-learning applications in human factors, ergonomics, and human-centered systems design.…”
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Assistive Control of a Hip Exoskeleton Robot, using a DQN-Adjusted Delayed Output Feedback Method by Hadi Kalani, S. Mohammad Tahamipour-Z, Iman Kardan, Alireza Akbarzadeh

“…A major challenge in the development of an assistive exoskeleton robot is to design appropriate control algorithms. These algorithms should be trajectory-independent and require a minimum number of sensors to work in any intended motion and to be easily implementable. …”
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Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics by Mohammed A. Mahmood, Khadija M. Ahmed, Truska F. Majeed, Rukhosh H. Abdalrahim, Mardin O. Rashid

“…Abstract This study aimed to design a desktop application that implements machine learning algorithms to predict dental treatment time durations, assess the accuracy of the model, and assess its clinical efficiency. …”
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Using Wireless Sensor Networks to Achieve Intelligent Monitoring for High-Temperature Gas-Cooled Reactor by Jianghai Li, Jia Meng, Xiaojing Kang, Zhenhai Long, Xiaojin Huang

“…To process nonlinear and non-Gaussian data obtained by WSN for fault diagnosis, novel algorithms combining Kernel Entropy Component Analysis (KECA) and support vector machine (SVM) are developed.…”
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6G Technology for Indoor Localization by Deep Learning with Attention Mechanism by Chien-Ching Chiu, Hung-Yu Wu, Po-Hsiang Chen, Chen-En Chao, Eng Hock Lim

“…Preliminary results show that 6G-based systems are expected to achieve centimeter-level positioning accuracy due to the integration of advanced artificial intelligence algorithms and terahertz frequencies. In addition, this paper also investigates the impact of self-attention (SA) and channel attention (CA) mechanisms on indoor positioning systems. …”
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Intelligent Online Store: User Behavior Analysis based Recommender System by Mohamadreza Karimi Alavije, Shiva Askari, Sirvan Parasite

“…Recommender systems provide personalised recommendations to users, helping them find their ideal items, also play a key role in encouraging users to make their purchases through websites thus leading to the success of online stores. …”
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An Improved Stochastic Configuration Networks With Compact Structure and Parameter Adaptation by Sanyi Li, Hongyu Guan, Peng Liu, Weichao Yue, Qian Wang

“…Experiments comparing this method with existing ones show that the proposed approach not only reduces network complexity but also effectively decreases training time. In addition, experimental results using baseline datasets and UCI databases show that the number of nodes required for oscn is reduced by approximately 50% and the computation time is reduced by approximately 40% compared to traditional algorithms.…”
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Study About the Performance of Ascon in Arduino Devices by Ventura Sarasa Laborda, Luis Hernández-Álvarez, Luis Hernández Encinas, José Ignacio Sánchez García , Araceli Queiruga-Dios

“…A detailed comparative analysis of these implementations is also provided.…”
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An Industrial System for Inspecting Product Quality Based on Machine Vision and Deep Learning by Xuan-Thuan Nguyen, Thi-Thoa Mac, Quang-Dinh Nguyen, Huy-Anh Bui

“…The data multi-threading mechanism is also applied in the system to ensure real-time processing operations. …”
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A Review of Factors Affecting Radiation Dose and Image Quality in Coronary CTA Performed with Wide-Detector CT by Yihan Fan, Tian Qin, Qingting Sun, Mengting Wang, Baohui Liang

“…In addition, novel technologies in the field of CT applied to CCTA examinations are also presented. Since this examination has a diagnostic accuracy that is highly consistent with ICA, it can be further used as a routine examination tool for coronary artery disease in clinical practice.…”
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PvaPy streaming framework for real-time data processing by Siniša Veseli, John Hammonds, Steven Henke, Hannah Parraga, Barbara Frosik, Nicholas Schwarz

“…User facility upgrades, new measurement techniques, advances in data analysis algorithms as well as advances in detector capabilities result in an increasing amount of data collected at X-ray beamlines. …”
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Advances in authentication and security protocols for 5G networks: a comprehensive survey by Sunil Kumar Patel, Satya Bhushan Verma, Bineet Kumar Gupta, Shubham Singh, E. Naresh, Piyush Kumar Pareek

“…We examine this sophisticated networking paradigm’s numerous difficulties and weaknesses, emphasizing the requirement for rigorous security measures. We also look at encryption algorithms essential for preserving the availability, confidentiality, and integrity of data transferred across 5G networks. …”
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Implicit neural representation for fast 4D computed tomography of multiphase flow in porous media by Henrik Friis, Håkon Nese, Giacomo Luani, Colin Pryme, Lars Rennan, Basab Chattopadhyay, Anders Kristoffersen, Ole Jakob Mengshoel, Dag Werner Breiby

“…Reconstructions of benchmark static tomography datasets show that NeCT also outperforms established algorithms in 3D. We demonstrate fast imaging of liquid imbibition in sandstone, with the high spatiotemporal resolution allowing salt dissolution and pore-filling events to be directly observed. …”
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RL-BES: optimizing strategies using reinforcement learning for blockchain economic security by Erdeng Wen, Zhuotao Deng, Yifan Mo, Yuren Zhou, Xiaohong Shi

“…The rapid growth of decentralized finance (DeFi) has provided numerous benefits, but it has also presented significant economic security challenges. …”
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Machine Learning Applied to Reference Signal-Less Detection of Motion Artifacts in Photoplethysmographic Signals: A Review by Erick Javier Argüello-Prada, Javier Ferney Castillo García

“…Machine learning algorithms have brought remarkable advancements in detecting motion artifacts (MAs) from the photoplethysmogram (PPG) with no measured or synthetic reference data. …”
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Enhancing Energy Systems and Rural Communities through a System of Systems Approach: A Comprehensive Review by Abdellatif Soussi, Enrico Zero, Alessandro Bozzi, Roberto Sacile

“…This study also identifies significant challenges associated with large-scale SoS implementation, such as real-time data processing, decision-making complexity, and the need for harmonized regulatory frameworks. …”
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The Integration Of Artificial Intelligence In English Language Teaching And Machine Translation: A Bridge Between Theory And Practice In Language Teaching For Specific Purposes. by Hafida Slimani, Rachid Saim

“…The findings revealed that AI enables greater personalization of learning, optimization of educational resources, and facilitation of intercultural communication. However, it also raises challenges, such as the reliability of machine translations, algorithmic biases, and excessive dependence on technology. …”
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Nonabelian anyon condensation in 2+1d topological orders: A string-net model realization by Yu Zhao, Yidun Wan

“…Compared with the traditional UMTC perspective of topological orders, our method offers a finer categorical description of anyon condensation at the microscopic level. We also explicitly represent relevant UMTC categorical entities characterizing anyon condensation through our model-based physical quantities, providing practical algorithms for calculating these categorical data.…”
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Solving Minimum Cost Three-Dimensional Localization Problem in Ocean Sensor Networks by Chao Zhang, Yingjian Liu, Zhongwen Guo, Yu Wang

“…Current localization algorithms mainly focus on how to localize as many sensors as possible given a set of mobile or static anchor nodes and distance measurements. …”
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