Data_Sheet_4_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.xlsx حسب Vishnu Ramasubramanian (4951354)

Data_Sheet_6_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.docx حسب Vishnu Ramasubramanian (4951354)

Data_Sheet_1_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.PDF حسب Vishnu Ramasubramanian (4951354)

Data_Sheet_5_Strategies to Assure Optimal Trade-Offs Among Competing Objectives for the Genetic Improvement of Soybean.xlsx حسب Vishnu Ramasubramanian (4951354)

May 1st −7st Metro Line 2 OD Statistics Table. حسب Yicheng Liu (2179626)

"…A case study of a bidirectional disruption during the 08:00–10:00 on the section of Xi’an Metro Line 2 demonstrates that: (1) The proposed model exhibits stronger robustness under demand uncertainty, achieving a reduction of 3 dispatched vehicles and a cost saving of 9,439 RMB by moderately increasing passenger costs by 850 RMB and extending bridging time; (2) The RPGA algorithm outperforms Non-dominated Sorting Genetic Algorithm II (NSGA-II), Reinforcement Learning-based NSGA-II (RLNSGA-II), and Multi-objective Particle Swarm Optimization Algorithm (MOPSO) in hypervolume (HV), generational distance (GD), and non-dominated ratio (NDR); (3) Increasing the rated passenger capacity within a certain range can reduce average passenger delays but correspondingly raises transportation costs. …"

S3 Data - حسب Mouhamad Bodaghie (14838511)

الموضوعات:

The results of the sum of the squared error in 20 implementation of ANN-PSO network in three ranges of [0.1, 0.4], [0.4, 0.7], [0.7, 1]. حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Fig 6 - حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Arithmetic and geometric mean obtained from the sum of squared error in 20 implementations of ANN-BTA network in three ranges of [0.1, 0.4], [0.4, 0.7], [0.7, 1]. حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Total mean square error (MSE) of training and experimental data in the best implementation of ANN-BTA network for estimating basic reproduction number related to COVID-19 patients... حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Fig 9 - حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Arithmetic and geometric mean obtained from the sum of the squared error in 20 implementation of ANN-PSO network in three ranges of [0.1, 0.4], [0.4, 0.7], [0.7, 1]. حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Fig 11 - حسب Mouhamad Bodaghie (14838511)

الموضوعات:

The effect of non-factor of government’s order interventions on the total squared error of ANN-BTA network of the government with the mortality rate output of [0.1, 0.4]. حسب Mouhamad Bodaghie (14838511)

الموضوعات:

S2 Data - حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Fig 10 - حسب Mouhamad Bodaghie (14838511)

الموضوعات:

Total mean square error (MSE) of training and testing data in the best implementation of the ANN-BTA network for estimating the mortality rate of COVID-19 patients in the ranges of... حسب Mouhamad Bodaghie (14838511)

الموضوعات:

A neural network designed to estimate the mortality rate of those infected with COVID-19 virus in the period of February 19, 2020 to May 18, 2020. حسب Mouhamad Bodaghie (14838511)

الموضوعات:

COVID-19 growth rate in the period of February 19, 2020 to May 18, 2020 in Iran. حسب Mouhamad Bodaghie (14838511)

الموضوعات:

The MSE value of ANN-BTA network after interval limiting [1,1.2] and obtaining the lowest error rate in estimating mortality rate. حسب Mouhamad Bodaghie (14838511)

الموضوعات: