Quantum-classical deep learning hybrid architecture with graphene-printed low-cost capacitive sensor for essential tremor detection by Javier Villalba-Díez, Ana González-Marcos

“…This integration offers improved processing capabilities, facilitating a more nuanced analysis of tremor patterns. Initial findings indicate greater stability in loss variability; however, further research is necessary to confirm these effects across broader datasets and clinical environments. …”
Get full text

Lipid-Metabolism-Related Gene Signature Predicts Prognosis and Immune Microenvironment Alterations in Endometrial Cancer by Zhangxin Wu, Yufei Nie, Deshui Kong, Lixiang Xue, Tianhui He, Kuaile Zhang, Jie Zhang, Chunliang Shang, Hongyan Guo

Get full text

A quantum machine learning framework for predicting drug sensitivity in multiple myeloma using proteomic data by M. Priyadharshini, B. Deevena Raju, A. Faritha Banu, P. Jagdish Kumar, V. Murugesh, Oleg Rybin

“…Future research will be directed toward clinical validation of the given system with larger and more diverse cohorts of MM patients; the integration of quantum hardware for practical applications.…”
Get full text

Acceleration Data Reveal Behavioural Responses to Hunting Risk in Scandinavian Brown Bears by Jeanne Clermont, Andreas Zedrosser, Ludovick Brown, Frank Rosell, Gunn Elisabeth Sydtveit Rekvik, Jonas Kindberg, Fanie Pelletier

Get full text

Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…Initially, experimental data are generated by systematically varying key AM parameters, layer height, infill density, infill pattern, build orientation, and number of shells. …”
Get full text

Integration of an Iterative Update of Sparse Geologic Dictionaries with ES-MDA for History Matching of Channelized Reservoirs by Sungil Kim, Baehyun Min, Kyungbook Lee, Hoonyoung Jeong

Get full text

Generation of Spatial Structure of Urban Parks Based on Spatial Analysis of Agent-Based Models by Huizi KONG, Tianming LIU, Jiajie LIAO, Liu CUI

“…ObjectiveThis research aims to leverage the advances of computer algorithms to provide scientific analytical methods for spatial simulation and offer a more objective approach to reflect the natural operational laws of interdependencies between elements in the real physical world for landscape design. …”
Get full text

Support Vector and Linear Regression Machine Learning Model on Amperometric Signals to Predict Glucose Concentration and Hematocrit Volume by Kirti Sharma, Pawan K. Tiwari, Sanjay Kumar Sinha

“…The dataset employed for this research is sourced from clinically validated electrochemical glucose sensors (commonly referred to as glucose strips). …”
Get full text

Analysis of Multivariate Indoor Building Data: A Comparative Study of Time-Series Clustering Methods by Quoc-Dung Ngo, Ly-Huynh Phan

Get full text

Combination of Music, Artificial Intelligence, and Brainwaves for the Promotion of Mental Well-Being by Georgios Karachalios, Evina Makaroni

“…The convergence of music, neuroscience, and artificial intelligence presents a highly innovative field of research and application, with significant potential for addressing various issues related to mental health and human well-being. …”
Get full text

<b>The investigation of commonalities in human brain semantic representations across people and across languages</b><br> by Augusto Buchweitz

“…By using Machine Learning techniques to analyze neuroimaging data, researchers have been able to find stable patterns of brain activity across different people. …”
Get full text

Public Perceptions of Ethical Challenges and Opportunities for Enterprises in the Digital Age by Ahmad Mansour, Khaled Alshaketheep, Hind Al-Ahmed, Ahmad Shajrawi, Arafat Deeb

“…The quantitative analysis methods used in this study encompassed descriptive statistical analysis, inferential statistical analysis, correlation analysis, hypothesis testing, and regression analysis to establish patterns of relationships.  Results: The leading ethical issues for participants were: personal data protection (mean score = 4.2), ethical usage of AI algorithms (mean score = 3.9), job displacement due to AI technology (mean score = 3.1), and the digital divide. …”
Get full text

Optimizing solar maximum power point tracking with adaptive PSO: A comparative analysis of inertia weight and acceleration coefficient strategies by Denesh Sooriamoorthy, Aaruththiran Manoharan, Siva Kumar Sivanesan, Soon Kian Lun, Alexander Chee Hon Cheong, Sathish Kumar Selva Perumal

“…The individual and combined performance of adaptive w, c1 and c2 are evaluated, especially with small and narrow w operational range studied as it contributes to high convergence, especially under fast-changing shading patterns. The results demonstrate that linear adaptive w combined with trigonometric adaptive c1 and c2 consistently achieves high tracking accuracy (99.4%) with minimal steady-state oscillations and faster convergence times (average 0.0642 s), outperforming conventional PSO and P&O algorithms. …”
Get full text

A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

Get full text

Iterative approach for photonic crystal devices design by Pavel V. Mokshin, Dimitriy L. Golovashkin, Vladimir S. Pavelyev

Get full text

TEACHING COMPUTATIONAL THINKING IN SAUDI ARABIAN SCHOOLS USING SMARTPHONE APPS by Abdullah Alenezi

“…An enhanced standard is also noticed regarding the students’ aspects that involve problem analysis, identification of pattern, and formation of algorithm. The use of applications such as ScratchJr and Lightbot is justified regarding an application’s capacity to improve students’ motivation and willingness to learn computational concepts. …”
Get full text

Machine Learning Applications in Use-Wear Analysis: A Critical Review by Anastasia Eleftheriadou, Shannon P. McPherron, João Marreiros

“…Firstly, the limited adoption of open science practices restricts the creation of large datasets and hinders reproducibility and transparency. Secondly, research efforts are concentrated within limited institutions, focusing on certain research questions, algorithms, raw materials, and use-wear traces. …”
Get full text

High-Speed 3D Vision Based on Structured Light Methods by Leo Miyashita, Satoshi Tabata, Masatoshi Ishikawa

Get full text

Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…Overall, this review outlines current innovations and future research directions essential for advancing personalized, efficient, and accessible fertility care.…”
Get full text

Assessing seventh-grade students' computational thinking skills through problem-based learning: Focus on integer addition and subtraction by Hapizah Hapizah, Anadia Muli Mariela, Budi Mulyono

“…This study aims to evaluate students' computational thinking skills based on the indicators of decomposition, pattern recognition, abstraction, and algorithmic thinking following the implementation of computational thinking-based learning using the Problem-based Learning (PBL) model, specifically on integer addition and subtraction. …”
Get full text