Ensemble Learning-Based Alzheimer’s Disease Classification Using Electroencephalogram Signals and Clock Drawing Test Images by Young Jae Huh, Jun-ha Park, Young Jae Kim, Kwang Gi Kim

“…In this research, we demonstrate that three machine learning algorithms, trained on an ensemble of electroencephalogram (EEG) and clock drawing test (CDT) feature data for an AD classification task, show improved AD detection accuracy compared to when either the EEG or CDT dataset is used independently. …”
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Subgroups: A Python library for Subgroup Discovery by Antonio Lopez-Martinez-Carrasco, Jose M. Juarez, Manuel Campos, Francisco Mora-Caselles

“…This manuscript introduces Subgroups, an openly accessible Python library designed to ease the use of Subgroup Discovery (SD) algorithms for machine learning and data science. The Subgroups Library offers several advantages: (1) Efficiency Enhancement: Developed in native Python, unlike other software available, the library prioritizes efficiency to ensure seamless execution of SD algorithms; (2) User-Friendly Interface: Modeled after the popular scikit-learn framework, the library boasts an intuitive interface, streamlining the utilization process for practitioners and non-expert programmers; (3) Trustworthy Algorithm Implementations: Drawing from scientific publications authored by leading experts, the Subgroups Library incorporates rigorously tested algorithmic implementations, ensuring reliability and accuracy in results; (4) Customization and Expansion: The modular architecture of the library facilitates effortless integration of additional quality measures, data structures, and SD algorithms, empowering users to tailor their analyses to specific needs and explore new avenues of research. …”
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A Global Coverage Path Planning Method for Multi-UAV Maritime Surveillance in Complex Obstacle Environments by Yiyuan Li, Weiyi Chen, Bing Fu, Zhonghong Wu, Lingjun Hao

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Hydrodynamic optimisation of a horizontal-axis hydrokinetic turbine for the River Ganga using a semi-analytical approach by Kripal, Anoop Kanjirakat

“…The turbine configuration was determined using a rotor optimisation tool integrating a genetic algorithm with a semi-analytical blade-element momentum theory. …”
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A novel hesitant fuzzy tensor-based group decision-making approach with application to heterogeneous wireless network evaluation by Muhammad Bilal, Ioan Lucian-Popa

“…Furthermore, a group decision-making algorithm tailored for HFT is formulated, leveraging aggregation operators and a scoring mechanism that accounts for maximum hesitation values. …”
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Traffic Capacity Assessment of the Urban Elevated Bridge after Near-Field Explosion Based on the Response Surface Method by Jinghui Jiang, Chaoyi Xia, Kunpeng Wang, He Xia, Qikai Sun

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Analysis of closed and open numerical systems of geochemical data in spatial statistics environment in order to separate anomalous areas by Mirmahdi Seyedrahimi-Niaraq, Hossein Mahdiyanfar

“…This method models the geochemical open or log-transformed data by the U-spatial statistics algorithm and has been used for the first time in this paper. …”
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An Improved Machine Learning-Based Model for Detecting and Classifying PQDs with High Noise Immunity in Renewable-Integrated Microgrids by Irfan Ali Channa, Dazi Li, Mohsin Ali Koondhar, Fida Hussain Dahri, Ibrahim Mahariq

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Renewable Energy Interconnected Power System Load Frequency Control Under Network Attacks and Communication Time Delay by MI Yang, YANG Zishuai, XU Mingming, ZHOU Jie, HAN Yunhao

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Utilising AI technique to identify depression risk among doctoral students by Changhong Teng, Chunmei Yang, Qiushi Liu

“…Finally, we proposed several improvement strategies for higher education institutions. Our research offers a new perspective on utilising artificial intelligence (AI) methods to tackle educational challenges, particularly in the identification and support of doctoral students at risk of depression, thereby enhancing their mental health.…”
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The Influence of Domestic Players on the Success in National and International Competitions in Football by Michal Varmus, Pavol Boško, Roman Adámik, Dominika Toman, Zakaria Elkhwesky

“…These were tested using a statistical algorithm including the Pooled linear regression model, Fixed effects models, Random effects models, and the ANOVA test. …”
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Optimizing Automated Negotiation: Integrating Opponent Modeling with Reinforcement Learning for Strategy Enhancement by Ya Zhang, Jinghua Wu, Ruiyang Cao

“…However, most existing research primarily focuses on modeling the formal negotiation phase, while neglecting the critical role of opponent analysis during the pre-negotiation stage. …”
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Deficiency of Lysosomic Acid Lipase: Clinical Recommendations for Child Health Care Delivery by A. A. Baranov, L. S. Namazova-Baranova, O. S. Gundobina, S. V. Mikhailova, E. U. Zakharova, E. A. Vishnyova, K. V. Savostianov, M. U. Stepanyan

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A Multimodal Image Registration Method for UAV Visual Navigation Based on Feature Fusion and Transformers by Ruofei He, Shuangxing Long, Wei Sun, Hongjuan Liu

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GNSS signal processing based on improved lifting wavelet transform with prior constraint by Chen Jiang, Wenbo Yang, Yiya Wang, Dongbao Zhao

“…Thus, the wavelet decomposition was applied toward the denoised signal to extract useful vibration information and significant noises based on the prior information. The improved algorithm was implemented and compared with the conventional lifting wavelet transform in the coordinate calculation of the GNSS monitoring point. …”
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Myopia Detection from Eye Fundus Images: New Screening Method Based on You Only Look Once Version 8 by Nicola Rizzieri, Luca Dall’Asta, Maris Ozoliņš

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HEDL: Deep learning multiple approaches for early detection of depression using sarcastic text by Vanita Kshirsagar, Nishant Pachpor, Ashwini Brahme, Ravindra Aapre, Shubhangi Suryawanshi, Digvijay Bhosale

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No-load and on-load performance analysis of 10-stator-slots five phase flux switching machines with non-overlapped winding configurations by Muhammad Yousuf, Faisal Khan, Ahmed Tameemi, Wasiq Ullah

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Ecological and Real-Time Route Selection Method for Multiple Vehicles in Urban Road Network by Liping Yan, Yue Tang, Chan Peng, Yu Cai, Wenbo Zhang, Jing Wang

“…Traffic congestion has been a hot topic of research in the field of intelligent transportation, which can be alleviated by efficient route navigation. …”
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The Place of Local Field Potentials in Deep Brain Stimulation Programming for Parkinson’s Disease: A Review by Chun Him Shelton Leung, Hugh D. Simpson, Dominic Thyagarajan

“…Results: Analyzing LFPs clearly has the potential to assist or streamline DBS programming in clinical practice, but there are knowledge gaps and challenges to overcome, especially in the utilization of intraoperative LFPs. Conclusions: More research is required to compare different algorithms that utilize LFPs in DBS programming to identify a simple, practical and time-saving algorithm incorporating reliable LFP biomarkers that will enhance the DBS programming experience for both patients and clinicians.…”
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