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Wojdan BinSaeedan
H-index:5
Citation Count:126
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Group-Level Heterogeneous Reinforcement-Learning-Guided Jellyfish Search Optimization for Cooperative Multi-UAV Path Planning Under Dynamic and Adversarial Conditions
基于群体级异构强化学习引导的水母搜索优化，用于动态对抗条件下的协同多无人机路径规划
Drones
IF4.8
Correction: Alotaibi, N.; BinSaeedan, W. Adaptive Reinforcement Learning-Driven Jellyfish Search Optimizer for Cooperative Multi-UAV Path Planning Under Dynamic and Adversarial Conditions. Drones 2026, 10, 394
修正：Alotaibi, N.; BinSaeedan, W. 自适应强化学习驱动的僧帽水母搜索优化器，用于动态和对抗条件下的协同多无人机路径规划。Drones 2026, 10, 394
Drones
IF4.8
Adaptive Reinforcement Learning-Driven Jellyfish Search Optimizer for Cooperative Multi-UAV Path Planning Under Dynamic and Adversarial Conditions
自适应强化学习驱动的水母搜索优化器用于动态和对抗条件下协同多无人机路径规划
Drones
IF4.8
Boosting brain tumor segmentation: A novel 3D pooling approach with U-net 3D
提升脑肿瘤分割：一种基于U-net 3D的新型3D池化方法
PLoS One
IF2.6
MedBioCh: Advancing security and privacy in digital healthcare with revocable biometric systems and blockchain
MedBioCh: 利用可撤销生物识别系统和区块链推进数字医疗保健中的安全与隐私
The Influence of Salp Swarm Algorithm-Based Feature Selection on Network Anomaly Intrusion Detection
基于Salp群算法的特征选择对网络异常入侵检测的影响
IEEE ACCESS
IF3.6
