Using Machine Learning to Predict Wine Quality and Prices: A Demonstrative Case Using a Large Tabular Database by Diogo Oliveira Moreira, Luis Paulo Reis, Paulo Cortez

“…In particular, the price prediction best results were obtained by the clustering tuned FS1 scenario, while the best quality predictions were achieved by the clustering filtering FS3 setup.…”
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Exploring extensions of neurotransmitter-based emotion models by João Ricardo Pinheiro, Paulo de Tarso Fernandes, Augusto Baffa, Bruno Feijó

“…However, it can only return one emotion at a time. While the Fuzzy Logic method allows for more than one emotional response at the same time, associating neurotransmitters and emotions within fuzzy rules was quite complex. …”
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On the Deployment of Edge AI Models for Surface Electromyography-Based Hand Gesture Recognition by Andres Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Ivan F. Mondragon, Julian D. Colorado

“…Results: The findings of this study demonstrate that by assigning relative importance to features and removing redundant or superfluous information, it is possible to enhance the system’s execution by up to 31% while preserving the model’s performance at a comparable level. …”
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Smart Charging and V2G: Enhancing a Hybrid Energy Storage System with Intelligent and Bidirectional EV Charging by Thomas Franzelin, Sarah Schwarz, Stephan Rinderknecht

“…Managing electric vehicle charging enables the demand to align with fluctuating generation, while storage systems can enhance energy flexibility and reliability. …”
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Optimising offshore multiphase flowmeter technology to improve wet gas field efficiency by Rahimi Zaman Jusoh A. Rashid, MFaizal Mustafa, Idris Ismail, Nur Azlina Mohamed Mokmin

“…This research has proven the technological developments in MPFM design, such as improvements in sensor technology, data processing algorithms, and materials engineering. These developments maximize operational effectiveness and resource management by ensuring accurate flow measurements. …”
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Mitigating Bias Due to Race and Gender in Machine Learning Predictions of Traffic Stop Outcomes by Kevin Saville, Derek Berger, Jacob Levman

“…The findings encourage the need for unbiased data and robust algorithms to address biases in law enforcement practices and enhance public trust in AI technologies deployed in this domain.…”
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Single cell analysis of host response to helminth infection reveals the clonal breadth, heterogeneity, and tissue-specific programming of the responding CD4+ T cell repertoire. by Ivy K Brown, Nathan Dyjack, Mindy M Miller, Harsha Krovi, Cydney Rios, Rachel Woolaver, Laura Harmacek, Ting-Hui Tu, Brian P O'Connor, Thomas Danhorn, Brian Vestal, Laurent Gapin, Clemencia Pinilla, Max A Seibold, James Scott-Browne, Radleigh G Santos, R Lee Reinhardt

“…While the most prevalent clones and clonotypes exhibited some tissue selectivity, most were observed to reside in both the lung and lung-draining lymph nodes. …”
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Intelligent BIM Searching via Deep Embedding of Geometric, Semantic, and Topological Features by Pin-Hao Huang, Sheng-Yu Song, Zhen Xu, Zhen-Zhong Hu, Jia-Rui Lin

“…However, searching for BIMs pays much attention to semantic features, while overlooking geometric and topological features, making it difficult to find and reuse rich knowledge in BIMs. …”
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MCAF-Net: Multi-Channel Temporal Cross-Attention Network with Dynamic Gating for Sleep Stage Classification by Xuegang Xu, Quan Wang, Changyuan Wang, Yaxin Zhang

“…Automated sleep stage classification is essential for objective sleep evaluation and clinical diagnosis. While numerous algorithms have been developed, the predominant existing methods utilize single-channel electroencephalogram (EEG) signals, neglecting the complementary physiological information available from other channels. …”
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Battery Management System for Solar Power Plants in Uganda: An IoT-Driven Approach by Ssembalirwa, Denis, Cartland, Richard, Bature, U. I., Kitone, Isaac

“…Intelligent algorithms autonomously regulate charging and discharging cycles to prevent overcharging and deep discharge, optimizing battery performance. …”
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Harnessing multi-omics and artificial intelligence: revolutionizing prognosis and treatment in hepatocellular carcinoma by Zhen Wang, Zhen Wang, Zhen Wang, Gangchen Zhou, Gangchen Zhou, Rongchuan Cao, Rongchuan Cao, Guolin Zhang, Guolin Zhang, Yongxu Zhang, Yongxu Zhang, Mingyue Xiao, Longbi Liu, Longbi Liu, Xuesong Zhang

“…CS1 was associated with better overall survival, while CS2 exhibited higher mutation burden and immune suppression. …”
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A comprehensive transplanting of black-box adversarial attacks from multi-class to multi-label models by Zhijian Chen, Qi Zhou, Yujiang Liu, Wenjian Luo

“…Therefore, existing multi-class attack algorithms cannot directly attack multi-label classification models. …”
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Effectiveness and Design of PBL-Based Project Approach for Non-Major University Computing Courses by Jung-In Choi, Sooyeon Yang

“…The Problem-Based Learning project approach, designed by the research team, provides a teaching and learning strategy in which students collaborate to analyze and extend code within real-world problem contexts while systematically exchanging feedback. The study was conducted as a case study involving two groups of students: a control group comprising 30 students following traditional instructional methods and an experimental group consisting of 31 students employing the proposed approach. …”
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Hybrid Cat-Transmon Architecture for Scalable, Hardware-Efficient Quantum Error Correction by Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson, Michael T. Fang, Christopher Chamberland, Oskar Painter, Fernando G.S.L. Brandão

“…With this level of performance, the qubit overhead required to reach algorithmically relevant logical error rates with the cat-transmon architecture matches that of an unbiased-noise architecture with physical error rates in the range 10^{−5}–10^{−4}.…”
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Robust Schnorr-based subgroup multi-signature scheme by ZHANG Zhenqi, ZHU Qiuchi, WANG Zhiwei

“…This scheme retained the advantage of low computational complexity inherent in the Schnorr digital signature cryptosystem while incorporating the benefits of subgroup multi-signature. …”
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Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

“…The results show that the RF model has the best performance while the XGBoost model has the worst performance. …”
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Adaptive Track Association Method Based on Automatic Feature Extraction by Zhaoyue Zhang, Guanting Dong, Chenghao Huang

“…The computational results show that, compared with conventional statistical methods, the proposed methodology achieves both superior precision and recall rates while maintaining computational efficiency threefold that of traditional machine learning algorithms.…”
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Ant Colony Optimization Using Common Social Information and Self-Memory by Yoshiki Tamura, Tomoko Sakiyama, Ikuo Arizono

“…We apply the existing ACO algorithms and ASIM to some TSP benchmarks and compare the ability to solve TSP.…”
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Urban Air Mobility Vertiport’s Capacity Simulation and Analysis by Antoni Kopyt, Sebastian Dylicki

“…The framework integrates dynamic grid-based spatial management, probabilistic mission duration algorithms, and EASA-compliant operational protocols to address the infrastructural and logistical demands of high-density UAS operations. …”
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Compact embedded RF sawtooth waveform generator for particle accelerator applications by Ashish Sharma, Subrat Kar, Bhuban Kumar Sahu

“…This paper elaborates on the construction of this instrument, including the design and implementation of multiple feedback controls and complex signal processing algorithms to generate a stable sawtooth waveform. The entire design is space and resource-optimized to be hosted on a single system-on-chip field programmable gate array board, which helped reduce the development effort. …”
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