Results 61 to 70 of about 2,923 (194)

Optimum Path Planning Using Dragonfly-Fuzzy Hybrid Controller for Autonomous Vehicle

Eng
Navigation poses a significant challenge for autonomous vehicles, prompting the exploration of various bio-inspired artificial intelligence techniques to address issues related to path generation, obstacle avoidance, and optimal path planning.
Brijesh Patel, Varsha Dubey, Snehlata Barde, Nidhi Sharma   +3 more
doaj   +1 more source

Global solar radiation prediction over North Dakota using air temperature: Development of novel hybrid intelligence model

Energy Reports, 2021
Accurate solar radiation (SR) prediction is one of the essential prerequisites of harvesting solar energy. The current study proposed a novel intelligence model through hybridization of Adaptive Neuro-Fuzzy Inference System (ANFIS) with two metaheuristic
Hai Tao, Ahmed A. Ewees, Ali Omran Al-Sulttani, Ufuk Beyaztas, Mohammed Majeed Hameed, Sinan Q. Salih, Asaad M. Armanuos, Nadhir Al-Ansari, Cyril Voyant, Shamsuddin Shahid, Zaher Mundher Yaseen   +10 more
doaj   +1 more source

Processing of sky compass cues and wide-field motion in the central complex of the desert locust (Schistocerca gregaria) [PDF]

, 2018
1. Polarization-sensitive neurons of the locust central complex show azimuthdependent responses to unpolarized light spots. This suggests that direct sunlight supports the sky polarization compass in this brain area. / 2.
Pegel, Uta
core   +1 more source

PARPi Combining Nanoparticle LIN28B siRNA for the Management of Malignant Ascites

Advanced Science, EarlyView.
This study demonstrates that co‐inhibition of LIN28B and PARP using siLin28b/DSSP@lip‐PEG‐FA nanoparticles in combination with the PARP inhibitor BMN673 effectively suppresses the accumulation of malignant ascites associated with advanced cancers.
Yan Fang, Qian Shen, Yao Lin, Jing Zhu, Xiaolan Zhu, Rui Huang, Yijia Wu, Feiyang Shen, Qian Li, Guopei Zheng, Zhe Zhang, Qian Chu, Junhao Hu, Jianfeng Shen   +13 more
wiley   +1 more source

Tuning extreme learning machine by an improved electromagnetism-like mechanism algorithm for classification problem

Mathematical Biosciences and Engineering, 2019
Extreme learning machine (ELM) is a kind of learning algorithm for single hidden-layer feedforward neural network (SLFN). Compared with traditional gradient-based neural network learning algorithms, ELM has the advantages of fast learning speed, good ...
Mengya Zhang, Qing Wu, Zezhou Xu
doaj   +1 more source

Chloroplast Stress Signals Orchestrate Epidermis‐Specific Remodeling of Mitochondria and ER Under High Light

Advanced Science, EarlyView.
High light exposure triggers an epidermis‐specific remodeling of mitochondria and ER in Arabidopsis, driven by chloroplast‐derived signals. Live‐cell imaging shows that HL rapidly suppresses mitochondrial motility, followed by fusion‐driven elongation and ER cisternal expansion.
Evan R. Angelos, Hee‐Seung Choi, Jingzhe Guo, Andrea A. Zanini, Tessa M. Burch‐Smith, Emily Snyder, Matthew Part, Wilhelmina van de Ven, Manhoi Hur, Gerd Ulrich Balcke, Alain Tissier, Quanqing Zhang, Katayoon Dehesh   +12 more
wiley   +1 more source

Multi-Threshold Image Segmentation Based on the Improved Dragonfly Algorithm

Mathematics
In view of the problems that the dragonfly algorithm has, such as that it easily falls into the local optimal solution and the optimization accuracy is low, an improved Dragonfly Algorithm (IDA) is proposed and applied to Otsu multi-threshold image ...
Yuxue Dong, Mengxia Li, Mengxiang Zhou
doaj   +1 more source

Design of a 2DOF-PID Control Scheme for Frequency/Power Regulation in a Two-Area Power System Using Dragonfly Algorithm with Integral-Based Weighted Goal Objective

Energies, 2023
The increase in power demand, nonlinearity, complexity, varying structure, and other important causes has necessitated the implementation of artificial intelligent control methodologies for safe and acceptable operation of the electric power systems ...
Alaa M. Abdel-hamed, Almoataz Y. Abdelaziz, Adel El-Shahat   +2 more
doaj   +1 more source

Load Balancing In Cloud Computing Environment Using Quasi Oppositional Dragonfly Algorithm [PDF]

, 2021
In cloud computing (CC) environment, load balancing of tasks remains as an important problem of distributing resources from a data center to make sure that every virtual machine (VM) have balanced load to attain optimum utilization of its abilities. 
et. al., J.Robert Adaikalaraj,
core   +1 more source

A Microfiber‐Reinforced Janus Hydrogel E‐Skin With Recyclable Feature for Multimodal Sensing and Gender‐Specific Physiological Monitoring

Advanced Science, EarlyView.
Hydrogel‐based wearable electronics hold great promise for physiological monitoring in privacy‐sensitive regions. In this study, a polyurethane (PU) microfiber‐reinforced gelatin hydrogel e‐skin is developed, boasting multiple advantages such as ultra‐thinness, high toughness, and long‐term skin conformability.
Yarong Ding, Yufeng Li, Shaozhe Tan, Jiachun Sun, Xu Yang, Xuesi Zhang, Zhenhua Lin, Zhenyu Li, Yue Hao, Yannan Liu, Yingchun Li, Jingjing Chang   +11 more
wiley   +1 more source