MSE for ILSTM algorithm in binary classification. حسب Asmaa Ahmed Awad (16726315)

"…The ILSTM was then used to build an efficient intrusion detection system for binary and multi-class classification cases. The proposed algorithm has two phases: phase one involves training a conventional LSTM network to get initial weights, and phase two involves using the hybrid swarm algorithms, CBOA and PSO, to optimize the weights of LSTM to improve the accuracy. …"

Optimum solutions and tuning of the dependent variables for various cases based on the PSO technique (standard IEEE 30-bus test network). حسب Abdullah Khan (377292)

Schematic of the disrupted network considered in the case study. حسب Jiefei Zhang (8787494)

Schematic of the disrupted network considered in the case study. حسب Jiefei Zhang (8787494)

Optimum tuning of the dependent variables for various cases using the HFPSO technique (standard IEEE 30-bus test network). حسب Abdullah Khan (377292)

Histograms of various water quality parameters, including pH, Hardness, Solids, Chloramines, Sulfate, Organic Carbon, Trihalomethanes, Turbidity, and a binary portability check. حسب Amal H. Alharbi (21755906)

Bivariate analysis using line plot for casing, bearing & impeller vs pressure. حسب Gaurav Sandeep Dave (21519884)

Comparative discussion based on routing. حسب Shanthi Amgothu (17692146)

"…Here, RNBJSO is the combination of Namib Beetle Optimization (NBO), Remora Optimization Algorithm (ROA) and Jellyfish Search optimization (JSO). …"

Optimization parameters for the three treatment plans performed for the homogeneous and heterogeneous phantoms. حسب Masashi Yagi (3186909)

الموضوعات:

The <i>D</i>_<i>98</i> in the CTV and the for the nominal scenario optimized using the WC algorithm in homogeneous and heterogeneous phantom. حسب Masashi Yagi (3186909)

الموضوعات:

The <i>D</i>_<i>98</i> in the CTV and the for the nominal scenario optimized using the SC algorithm in homogeneous and heterogeneous phantoms. حسب Masashi Yagi (3186909)

الموضوعات:

A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some high-dimensional datasets usi... حسب Olaide N. Oyelade (14047002)

A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some medium-sized dimensional data... حسب Olaide N. Oyelade (14047002)

A radar plot illustrating the comparison of the classification accuracy, cost values, and fitness values for the hybrids of BEOSA when applied to some small-sized dimensional datas... حسب Olaide N. Oyelade (14047002)

The <i>D</i>_<i>98</i> in the CTV and the for the nominal scenario in the patient case. حسب Masashi Yagi (3186909)

الموضوعات:

Game-relationship-based Remanufacturing Scheduling Model with Sequence-dependent Setup Times Using Improved Discrete Particle Swarm Algorithm حسب Anonymous Authors (for blind review purpose) (11523120)

Optimization traces for six datasets and four NMTF optimization methods. حسب Andrej Čopar (6824375)

Pressure-Stabilized Zinc Trifluoride حسب Shiyin Ma (5793191)

"…By combining the particle swarm optimization algorithm with first-principles calculation, the high-pressure phase diagram of Zn–F binary compounds was established. …"

Classification performance after optimization. حسب Amal H. Alharbi (21755906)

"…<div><p>Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"

ANOVA test for optimization results. حسب Amal H. Alharbi (21755906)

"…<div><p>Modern sustainable farming demands precise water management techniques, particularly for crops like potatoes that require high-quality irrigation to ensure optimal growth. This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …"