Analysis of Optical Errors in Joint Fabry–Pérot Interferometer–Fourier-Transform Imaging Spectroscopy Interferometric Super-Resolution Systems by Yu Zhang, Qunbo Lv, Jianwei Wang, Yinhui Tang, Jia Si, Xinwen Chen, Yangyang Liu

“…By encoding high-frequency spectral interference information into low-frequency interference regions through FPI modulation, an advanced inversion algorithm is developed to reconstruct the encoded high-frequency components, thereby achieving spectral super-resolution. …”
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A Portable and Affordable Four-Channel EEG System for Emotion Recognition with Self-Supervised Feature Learning by Hao Luo, Haobo Li, Wei Tao, Yi Yang, Chio-In Ieong, Feng Wan

“…To address these challenges, we propose a low-cost, self-adaptive wearable EEG system for emotion recognition through a hardware–algorithm co-design approach. …”
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Transient dynamic ampacity of overhead transmission lines utilizing CIGRE Technical Brochure 601: Application under conditions in the Slovak Republic by František Margita, L’ubomír Beňa, Tomasz Binkowski, Paweł Pijarski, Sylwester Adamek

“…While CIGRE 601 provides a framework for calculating the steady-state maximum ampacity for a given conductor temperature limit, the algorithm introduced in this study further enables the evaluation of short-term overloading capability, including the corresponding duration during which the conductor temperature remains within safe limits. …”
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Simulation of lake underwater terrain based on the XGBoost model: a case study of typical lakes on the Tibetan Plateau by Kaixin Hu, Shanlong Lu, Qing Li, Cong Du, Bo Zhang, Peng Du, Harrison Odion Ikhumhen

“…The results demonstrate that the algorithm achieves a relative error of −11.83% in average depth, −26.94% in maximum depth, and 19.36% in water storage capacity, all estimated based on the simulated underwater terrain. …”
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Haar wavelet Arctic Puffin optimization method (HWAPOM): Application to logistic models with fractal-fractional Caputo-Fabrizio operator by Najeeb Alam Khan, Sahar Altaf, Nadeem Alam Khan, Muhammad Ayaz

“…Error metrics, such as mean absolute error, maximum absolute error, and the experimental convergence rate, are calculated at various collocation points and presented in a tabular format. …”
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Hyperspectral Target Detection Based on Prior Spectral Perception and Local Graph Fusion by Xiaobin Zhao, Jun Huang, Yunquan Gao, Qingwang Wang

“…However, existing hyperspectral target detection models are poorly adapted to complex backgrounds and mainly focus on the spectral domain, making less use of spatial structure information leading to low target detection rates. Therefore, a new target detection algorithm based on the prior spectral perception and local graph fusion is proposed. …”
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Determination of Spatiotemporal Gait Parameters Using a Smartphone’s IMU in the Pocket: Threshold-Based and Deep Learning Approaches by Seunghee Lee, Changeon Park, Eunho Ha, Jiseon Hong, Sung Hoon Kim, Youngho Kim

“…The proposed method achieved error rates in event detection below 2% of the gait cycle for healthy gait and a maximum of 4.4% for patient gait in event detection, with corresponding parameter estimation errors also within 4%. …”
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University proceedings. Volga region. Technical sciences by V.N. Ashanin, A.A. Korotkov

“…Numerous studies have shown that one of the critical elements of low-bit integrating analog-to-digital converters (ADC) is a capacitor included in the integrator, the dielectric absorption of which limits the maximum achievable linearity of the conversion function. …”

Online Modelling and Calculation for Operating Temperature of Silicon-Based PV Modules Based on BP-ANN by Honglu Zhu, Weiwei Lian, Lingxing Lu, Peter Kamunyu, Cao Yu, Songyuan Dai, Yang Hu

“…It is an important parameter for PV system modeling, performance evaluation, and maximum power point tracking. The analysis shows that the results of physics-based methods always change with seasons and weather conditions. …”
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Development of Control Technology for Bypass Flue Gas Drying Tower of Coal-Fired Power Plant by Wenxin WANG, Yi GAO, Chunhong LIU, Xiaozhong TONG, Biao CHEN, Zhifu QI, Qin ZHANG

“…In order to keep the quality of fly ash unchanged, a multi-parameter control model is established to determine the minimum flue gas temperature and the maximum desulphurization wastewater treatment capacity under the consideration of flue gas acid dew point. …”
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Sliding Mode Control of a Photovoltaic Water Pumping System by Ali Berboucha, Kamel Djermouni, Kaci Ghedamsi, Elyazid Amirouche, Said Aissou, Djamal Aouzellag

“…These include a photovoltaic array; a boost DC-DC converter with a maximum power point tracking algorithm based on the Perturb and Observe technique; a three-level neutral-point-clamped inverter, which is controlled using simplified space vector pulse width modulation; and a moto-pump group based on an induction motor and tank. …”
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A Comparative Study of Azure Custom Vision Versus Google Vision API Integrated into AI Custom Models Using Object Classification for Residential Waste by Cosmina-Mihaela Rosca, Adrian Stancu, Marius Radu Tănase

“…The CWSM employs the LbfgsMaximumEntropyMulti algorithm and a dataset of 1000 records for training, divided equally across the categories. …”
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Research on fault localization method of valve area in converter station based on metric learning and knowledge reasoning by WEI Yun, LI Xianwei, ZHANG Yanlong, CAO Hui, XU Dan, QIU Junhong

“…A valve area fault simulation model is constructed based on power system computer aided design (PSCAD), generating typical fault waveform data for the valve area. The top 100 maximum spectral lines are obtained through time-frequency domain transformation. …”
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Grid tied hybrid PV fuel cell system with energy storage and ANFIS based MPPT for smart EV charging by Suresh vendoti, Narasimha Prasad Tulasi, Ravi Kumar Jalli, Sudhakiran Ponnuru, Zhang Jin, P. Yakaiah, Mamdooh Alwetaishi, S. Prabhakar

“…An adaptive neuro-fuzzy inference system (ANFIS)-based maximum power point tracking (MPPT) algorithm is employed to enhance PV power extraction under dynamically varying environmental conditions. …”
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Eliminating Effect of Moisture Content in Prediction of Lower Heating Value and Ash Content in Sugarcane Leaves Biomass by Kanvisit Maraphum, Kantisa Phoomwarin, Nirattisak Khongthon, Jetsada Posom

“…The ash content model showed moderate accuracy, with a maximum R² of 0.61 and an RPD of 1.40. …”
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Solar-Blind Ultraviolet Four-Quadrant Detector and Spot Positioning System Based on AlGaN Diodes by Longfei Peng, Shangqing Li, Yong Huang, Yang Yang

“…Utilizing a third-order polynomial least-squares fitting algorithm without introducing complex filtering techniques, the system achieves a maximum positioning error of 0.0101 mm and a root-mean-square error (RMSE) of 0.0057 mm, among of one the best-performing solar-blind UV 4QDs. …”
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Adaptive deep feature representation learning for cross-subject EEG decoding by Shuang Liang, Linzhe Li, Wei Zu, Wei Feng, Wenlong Hang

“…Specifically, we first minimize the distribution discrepancy between the source and target domains by employing maximum mean discrepancy (MMD) regularization, which aids in learning the shared feature representations. …”
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An Adaptation of Nonlinear Aerodynamic Models for Non-Traditional Control Effectors by Christian R. Bolander, Douglas F. Hunsaker

“…Although the aerodynamic model is constructed to accurately capture the degrees of freedom of this particular empennage design, similar methods could be used to develop other aerodynamic models for non-traditional control effectors. A large dataset of low-fidelity aerodynamic data was generated using a modern numerical lifting-line algorithm, and these data were fit to the nonlinear sinusoidal aerodynamic model. …”
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Mitigating the Impact of Satellite Vibrations on the Acquisition of Satellite Laser Links Through Optimized Scan Path and Parameters by Muhammad Khalid, Wu Ji, Deng Li, Li Kun

“…In the past two decades, there has been a tremendous increase in demand for services requiring a high bandwidth, a low latency, and high data rates, such as broadband internet services, video streaming, cloud computing, IoT devices, and mobile data services (5G and beyond). …”
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Application of artificial intelligence and red-tailed hawk optimization for boosting biohydrogen production from microalgae by Hegazy Rezk, Ali Alahmer, Abdul Ghani Olabi, Enas Taha Sayed

“…Subsequently, the red-tailed hawk algorithm (RTH) is used to determine the optimal values for the process parameters, corresponding to maximum hydrogen yield. …”
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