Confusion matrix of optimized CNN with Rmsprop for <i>β</i> = 1. حسب Ali Raza (3558965)

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Confusion matrix of optimized CNN with Adam for <i>β</i> = 1. حسب Ali Raza (3558965)

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Algorithm parameter settings. حسب Yue Guo (695495)

State Function-Based Correction: A Simple and Efficient Free-Energy Correction Algorithm for Large-Scale Relative Binding Free-Energy Calculations حسب Runduo Liu (10756379)

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Strengths and limitations of RL algorithms. حسب Hasan Raza Khanzada (22404835)

"…However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. This paper aims to provide a comparative analysis of RL-driven flight control systems for fixed-wing UAVs in dynamic and uncertain environments. …"

TD3 algorithm structure. حسب Hasan Raza Khanzada (22404835)

"…However, a critical gap persists in the rigorous evaluation and comparative analysis of leading continuous-space RL algorithms. This paper aims to provide a comparative analysis of RL-driven flight control systems for fixed-wing UAVs in dynamic and uncertain environments. …"

Algorithm for MFISTA-VA [30]. حسب Faisal Najeeb (20542714)

"…GRASP uses Temporal Total Variation (TV) norm as a sparsity transform to promote sparsity among multi-coil MRI data and Nonlinear Conjugate Gradient (NL-CG) algorithm to obtain an optimal solution. Additionally, GRASP uses NUFFT gridding to map Golden-angle-radial data to Cartesian grid before NL-CG based CS reconstruction. …"

False/True positive and negative of optimized CNN with Ramsprop <i>β</i> = 1. حسب Ali Raza (3558965)

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False/True positive and negative of optimized CNN with Adam for <i>β</i> = 1. حسب Ali Raza (3558965)

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Algorithm performance test results. حسب Yue Guo (695495)

Different algorithms’ performance across 8 cores. حسب Yongan Feng (7345193)

"…This ensures that the initial centers better represent the distribution and structure of the dataset, leading to improved clustering performance. During the iteration process, a novel distance comparison method is employed to reduce computation time, optimizing the overall efficiency of the algorithm. …"

Different algorithms’ performance across 4 cores. حسب Yongan Feng (7345193)

"…This ensures that the initial centers better represent the distribution and structure of the dataset, leading to improved clustering performance. During the iteration process, a novel distance comparison method is employed to reduce computation time, optimizing the overall efficiency of the algorithm. …"

data_code.zip حسب Mengmeng Gong (20129994)

"…In this study, we conduct an in-depth investigation of a novel adaptive covariance inflation algorithm (t-X) within the framework of an observation system simulation experiment (OSSE) based on anintermediate coupled model (ICM) and the Ensemble Adjustment KF(EAKF), aiming to develop a joint approach for optimizing both model parameters and initial fields simultaneously. …"

Failure Samples and Fitting Results. حسب Dongyan Wang (195482)

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Relevant Parameters. حسب Dongyan Wang (195482)

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Comparison of model prediction performance metrics. حسب Dongyan Wang (195482)

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Correlation graph between order point and equipment availability. حسب Dongyan Wang (195482)

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Spare parts failure prediction and inventory management process. حسب Dongyan Wang (195482)

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Correlation graph between order quantity and equipment availability. حسب Dongyan Wang (195482)

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Spare parts inventory changes under the (r, Q) inventory strategy combined with reliability maintenance. حسب Dongyan Wang (195482)

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