Person-based design and evaluation of MIA, a digital medical interview assistant for radiology by Kerstin Denecke, Daniel Reichenpfader, Dominic Willi, Karin Kennel, Harald Bonel, Harald Bonel, Knud Nairz, Nikola Cihoric, Damien Papaux, Hendrik von Tengg-Kobligk

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High-order statistics based blind channel estimation for PSK modulation in flat and slow fading channels by IXiao-tian L, EIJing L, LIUWei , IYan-bin L, HANGRun-sheng Z

“…A blind channel estimator based on high-order statistics (HOS) of PSK constellations was proposed.For flat and slow fading channels,firstly,the high-order statistics of PSK constellations with different alphabet size M was ana-lyzed.The M^th power symbols of MPSK constellations are same,whereas the M^thpower symbols are symmetrically dis-tributed on the complex plane when 1≤M′＜M.Secondly,the estimation algorithms of alphabet size M,initial phase and fading coefficient were introduced based on the characteristics above.Finally,simulation results show that when SNR＞12 dB,the proposed algorithm has the same estimation performance as the optimal Lloyd-Max algorithm,while the complexity is only 1/50 of Lloyd-Max algorithm.Moreover,the proposed algorithm's mean-square error curve converges remarkably to the least squares (LS) bound on the condition of less received symbols.…”
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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…To address this, we applied the Firefly Optimization Algorithm to fine-tune the hyperparameters of both the graph-based model and a CNN baseline for comparison. …”
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Online English teaching resource recommendation method design based on LightGCNCSCM by Jing Tang

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Application of Three Neural Network Models in the Prediction ofStratospheric Wind Field by YUAN Junjie, LUO Rubin, LIAO Jun, YANG Zechuan, WANG Ning, LI Jun

“…Traditional theoretical models can only predict wind speed in the next few hours, while BP neural network models can predict wind speeds in next few days. …”
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Navigating dual pressures: The impact of environmental policies and market demand risks on the sustainable development of green building materials - A case study of the green cemen... by Wenxuan Guo

“…Strict policies encourage companies to engage in green research and production while helping to maintain sales and prices, thereby ensuring profitability—especially when competing products have lower levels of greenness. …”
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2-D distributed pose estimation of multi-agent systems using bearing measurements by Xu Fang, Jitao Li, Xiaolei Li, Lihua Xie

“…Only the leaders have access to their orientations and positions, while the followers can measure the relative bearings or (angular and linear) velocities in their unknown local coordinate frames. …”
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Advanced Design of Naval Ship Propulsion Systems Utilizing Battery-Diesel Generator Hybrid Electric Propulsion Systems by Youngnam Park, Heemoon Kim

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Hybrid ANN-Based and Text Similarity Method for Automatic Short-Answer Grading in Polish by Marwah Bani Saad, Lidia Jackowska-Strumillo, Wojciech Bieniecki

“…Computer-assisted grading plays an important role in an educational context, mainly by reducing the workload of teachers in manual scoring. While electronic choice surveys have long been used in many web applications, automatic scoring of open-ended responses remains an interesting research problem in natural language processing. …”
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Internet traffic data recovery via a low-rank spatio-temporal regularized optimization approach without d-th order T-SVD by Yuxuan Duan, Chen Ling, Jinjie Liu, Xinmin Yang

“…In addition, we integrate the alternating direction method of multipliers (ADMM) to design an efficient and stable algorithm for precise model solving. Finally, we validate the proposed approach by simulating scenarios with random and structured missing data on two real-world Internet traffic datasets. …”
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Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response by Genfu Xiao, Huan Liu, Javad Nabatalizadeh

“…One of the primary challenges in managing ME-MGs is reducing operational costs and emissions while addressing uncertainties. This study investigates the optimization and energy management (EM) in ME-MGs through the application of the Multi-Objective Walrus Optimization Algorithm (MOWaOA) combined with fuzzy decision-making techniques. …”
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PREDICTING TRAVEL-TIME RELIABILITY IN ROAD NETWORKS: A FITRNET-BASED APPROACH – A CASE STUDY OF ENGLAND by Navid KHORSHIDI, Shahriar AFANDIZADEH ZARGARI, Hamid MIRZAHOSSEIN, Hanif HEIDARI, Travis WALLER

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Energy, exergy and economic optimization application of integrated dual-loop organic rankine cycle: A case of shopping mall power plant by Muhammed Taha TOPCU, Alperen TOZLU, Kadir BİLEN

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Novel Gaussian-Decrement-Based Particle Swarm Optimization with Time-Varying Parameters for Economic Dispatch in Renewable-Integrated Microgrids by Yuan Wang, Wangjia Lu, Wenjun Du, Changyin Dong

“…Findings: Field case studies demonstrate that, compared to other algorithms, the improved Particle Swarm Optimization algorithm effectively reduces the operational costs of microgrid systems while exhibiting accelerated convergence speed and enhanced robustness. …”
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Lithium-Ion Battery Health State Prediction Based on Improved War Optimization Assisted-Long and Short-Term Memory Network by Xiankun Wei, Mingli Mo, Silun Peng

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Design and Performance Optimization of a Radial Turbine Using Hydrogen Combustion Products by Pengfei Su, Weifeng He, Abdalazeem Adam, Omer Musa, Wang Chen, Zeyu Lou

“…This study aims to design a radial turbine using the differential evolution (DE) algorithm to improve its characteristics and optimize its aerodynamic performance through an orthogonal experiment and analysis of means (ANOM). …”
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Double and integer multi-objective optimization of solar HDH desalination system with bubble column dehumidifier: An artificial neural network approach by Alireza Naeini, Alireza Jalali, Ehsan Houshfar

“…The gain output ratio (GOR) is selected to indicate the thermal performance, while the unit cost of water produced (UCWP) is chosen to reflect the economic performance. …”
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Optimized Dimensioning and Economic Assessment of Decentralized Hybrid Small Wind and Photovoltaic Power Systems for Residential Buildings by Marcus Brennenstuhl, Robert Otto, Dirk Pietruschka, Björn Schembera, Ursula Eicker

“…In contrast, electricity production from small wind turbines remains marginal (<0.01%). While currently only viable in high-wind locations, factors like rising electricity prices, cheaper battery storage, and increasing electrification could boost their future role. …”
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Extended target tracking with mobility based on GPR-AUKF by Renli Zhang, Yan Zhang, Jintao Chen, Ziwen Sun, Jing Li, Zhuangbin Tan, Zhongxing Jiao

“…Specifically, the GPR-AUKF algorithm is built based on expectation maximization (EM) algorithm to track the target state and covariance, and which updates the measurement noise covariance in real-time. …”
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Metaheuristic Prediction Models for Kerf Deviation in Nd-YAG Laser Cutting of AlZnMgCu1.5 Alloy by Arulvalavan Tamilarasan, Devaraj Rajamani

“…A detailed investigation was conducted to examine the effects of various parameters on kerf deviation. The metaheuristic algorithms (i.e., Giant Trevally Optimizer—GTO; and Zebra Optimization Algorithm—ZOA) were implemented to determine the optimum process parameters for producing the best performance measures. …”
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