Instability of Financial Time Series Revealed by Irreversibility Analysis by Youping Fan, Yutong Yang, Zhen Wang, Meng Gao

“…Since the 2008 global economic crisis, the detection of financial instabilities has garnered extensive research attention, particularly through the application of time-series analysis. …”
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A Generalized Shape Function for Vibration Suppression Analysis of Acoustic Black Hole Beams Based on Fractional Calculus Theory by Jun Xu, Ning Chen

“…This research provides a theoretical foundation for structural vibration reduction in ABH structures.…”
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Low-order harmonic analysis and suppression strategy optimization of cascaded converters for train traction by LI Xiangchao, FENG Jiying, LI Zhenghui

“…There is still a lack of detailed research on the underlying mechanisms and suppression strategies. …”
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Isolated Handwritten Pashto Character Recognition Using a K-NN Classification Tool based on Zoning and HOG Feature Extraction Techniques by Juanjuan Huang, Ihtisham Ul Haq, Chaolan Dai, Sulaiman Khan, Shah Nazir, Muhammad Imtiaz

“…Handwritten text recognition is considered as the most challenging task for the research community due to slight change in different characters’ shape in handwritten documents. …”
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Classification of Phonocardiogram Signals Using the Wavelet Scattering Transform and Equilibrium Optimization Approach by Ahmed Q. Aldhahab, Mustafa R. Ismael, Haider J. Abd

“…The experiments aimed to assess the impact of the optimization technique on the algorithm’s performance, demonstrating its effectiveness. …”
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SECURE USER AUTHENTICATION IN THE CLOUD: LEVERAGING FACE RECOGNITION TECHNOLOGY by Yellamma Pachipala, Muzamil Raheman Shaik, Jaya Ram Samavedam, Anvitha Peddineni, V V R Maheswara Rao

“…The usefulness of face recognition technology—more especially, the ArcFace algorithm—as a dependable method for safe user authentication in cloud services is investigated in this work. …”
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Segmentation of Energy Consumption Using K-Means: Applications in Tariffing, Outlier Detection, and Demand Prediction in Non-Smart Metering Systems by Darío Muyulema-Masaquiza, Manuel Ayala-Chauvin

“…The management of energy demand in systems lacking smart metering presents a significant challenge for electric distributors, primarily due to the absence of real-time data. This research assesses the efficacy of the K-Means algorithm when applied to the monthly billing records of 221,401 residential customers from Empresa Eléctrica Ambato Regional Centro Norte S.A. …”
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Identification of aquifer heterogeneity through inverse methods by Ackerer, Philippe, Carrera, Jesus, Delay, Frédérick

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NCG-TSM: A Noncooperative Game for the Taxi Sharing Model in Urban Road Networks by Liping Yan, Chan Peng, Yue Tang, Wenbo Zhang, Jing Wang, Yu Cai

“…Taxi sharing is a promising method to save resource consumption and alleviate traffic congestion while satisfying people’s commuting needs. Existing research methods include taxi dispatching methods based on intelligent algorithms, single vehicle route recommendation algorithms, and route recommendation algorithms based on vehicle traffic history. …”
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Trajectory Preview Tracking Control for Self-Balancing Intelligent Motorcycle Utilizing Front-Wheel Steering by Fei Lai, Hewang Hu, Chaoqun Huang

“…This study includes some research and exploration into the following aspects: (1) The design of a front-wheel steering self-balancing controller. …”
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Landing State Recognition of Carrier-Based Aircraft Based on Adaptive Feature Enhancement and Fusion by WANG Ke, LIU Yiyang, YANG Jie, LU Aiguo, LI Zhe, XU Mingliang

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Multi-Objective Optimization Method for High-Efficiency and Low-Consumption Wire Rope Greasing Process by Fan Zhou, Yuemin Wang, Ruqing Gong, Binghui Tang

“…This research provides valuable support for wire rope greasing process planning and improvement.…”
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Integration of InSAR and deterministic coefficient methods to study the disaster susceptibility of transmission tower slope by Bo Hu, Chaoyang Shan

“…This study takes the transmission tower of Muzengke North Line in Guangzhou, China as the research object, and obtains 45 scene SAR data. Small Baseline Subset (SBAS) time series analysis algorithm is used to investigates it using the surface displacement. …”
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Use of functional magnetic resonance imaging in patients with irritable bowel syndrome and functional dyspepsia by Katarzyna Skrobisz, Grażyna Piotrowicz, Adrianna Drozdowska, Karolina Markiet, Agnieszka Sabisz, Patrycja Naumczyk, Grażyna Rydzewska, Edyta Szurowska

“…Functional brain imaging (positron emission tomography – PET, functional magnetic resonance imaging – fMRI), allowing in vivo analysis of the brain-digestive tract interaction and the neurological mechanisms underlying visceral hypersensitivity, significantly advanced research and helped in the understanding of the interrelations in this field. …”
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Synergistic Effects of Energy Storage Systems and Demand-Side Management in Optimizing Zero-Carbon Smart Grid Systems by Zeyad A. Almutairi, Ali M. Eltamaly

“…An advanced optimization algorithm enhances grid stability and efficiency. Simulations demonstrate significant reductions in carbon footprint, peak power demand, and reliance on fossil fuels. …”
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LOMDP: Maximizing Desired Opinions in Social Networks by Considering User Expression Intentions by Xuan Wang, Bin Wu, Tong Wu

“…The experimental results on four datasets show that LOMDP outperforms six baseline algorithms. Our research effectively resolves the problem of maximizing desired opinions and offers insights into the dynamics of information propagation in social networks from the perspective of entropy and information theory.…”
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Spatial-temporal attention for video-based assessment of intraoperative surgical skill by Bohua Wan, Michael Peven, Gregory Hager, Shameema Sikder, S. Swaroop Vedula

“…The objective in this research is to develop and validate algorithms for video-based assessment of intraoperative surgical skill. …”
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A refined methodological approach: Long-term stock market forecasting with XGBoost by Sürek Rojen Erik, Lau Wee-Yeap

“…One critical research gap that this study fills is artificial intelligence (AI) and machine learning applications that predict equity market index total returns using long-term prediction horizons, and by experimenting with Extreme Gradient Boosting (XGBoost). …”
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Dynamics and Chaos Intensity Analysis of Under-Actuated Mechanism by Uniformity and Particle Swarm Optimization by Hui Li, Yang Shu, Yongping Gu, Wuye Xiang, Feng Zhang

“…Finally, based on uniformity, the particle swarm optimization algorithm successfully achieves the suppression and enhancement of the chaos intensity of the closed-chain under-actuated five-bar mechanism by optimizing its linkage length and driving speed, and the results are verified by the experimental platform.…”
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Infrastructural review of the distributed telecommunication system of road traffic and its protocols by Nikolay N. Kaligin, Saygid U. Uvaysov, Aida S. Uvaysova, Svetlana S. Uvaysova

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