Results 81 to 90 of about 533 (182)

Edge–Region Collaborative Segmentation of Potato Leaf Disease Images Using Beluga Whale Optimization Algorithm with Danger Sensing Mechanism

Agriculture
Precise detection of potato diseases is critical for food security, yet traditional image segmentation methods struggle with challenges including uneven illumination, background noise, and the gradual color transitions of lesions under complex field ...
Jin-Ling Bei, Ji-Quan Wang
doaj   +1 more source

Plant Disease Detection Using CNN with The Optimization Called Beluga Whale Optimization Mechanism

International Journal of Computational and Experimental Science and Engineering
Plant disease detection is critical for ensuring agricultural productivity. Early and accurate identification of plant diseases can help in the timely application of remedies, reducing yield loss and improving crop quality. This paper presents a deep learning(DL) approach using Convolutional Neural Networks (CNN) for plant disease detection, combined ...
null L. Smitha, null Maddala Vijayalakshmi, null Sunitha Tappari, null N. Srinivas, null G. Kalpana, null Shaik Abdul Nabi   +5 more
openaire   +1 more source

Improved beluga whale optimization algorithm based cluster routing in wireless sensor networks

Mathematical Biosciences and Engineering
<abstract><p>Cluster routing is a critical routing approach in wireless sensor networks (WSNs). However, the uneven distribution of selected cluster head nodes and impractical data transmission paths can result in uneven depletion of network energy. For this purpose, we introduce a new routing strategy for clustered wireless sensor networks
Hao Yuan, Qiang Chen, Hongbing Li, Die Zeng, Tianwen Wu, Yuning Wang, Wei Zhang   +6 more
openaire   +3 more sources

Optimization of drama teaching strategies driven by deep reinforcement learning

Discover Artificial Intelligence
Traditional teaching strategies often fail to dynamically adapt leading to suboptimal student engagement. However, traditional teaching strategies often fail to dynamically adapt to diverse classroom conditions, leading to suboptimal student engagement ...
Zihua Wang
doaj   +1 more source

Fractional-Order PID Control of Two-Wheeled Self-Balancing Robots via Multi-Strategy Beluga Whale Optimization

Fractal and Fractional
In recent years, fractional-order controllers have garnered increasing attention due to their enhanced flexibility and superior dynamic performance in control system design.
Huaqiang Zhang, Norzalilah Mohamad Nor
doaj   +1 more source

OPTIMIZING QOS AND CONGESTION IN MANETS USING XGBOOST WITH HYBRID PSO AND BELUGA WHALE STRATEGIES

International journal of Computer Networks & Communications
In mobile ad hoc networks (MANETs), optimizing quality-of-service (QoS) routing is a NP-hard problem that requires effective solutions to improve crucial QoS metrics. Congestion is another major issue that has a significant impact on performance, especially at the node level.
Diksha Shukla, Raghuraj Singh
openaire   +2 more sources

Comparative Analysis of the Application of Different Metaheuristic Methods for Determining the Coefficients of Empirical Models for Determining Sound Absorption [PDF]

AVMS 2023Metaheuristics are widely used in various fields due to their ability to solve complicated optimization problems. In acoustics, it is possible to apply metaheuristics to determine the optimal values of coefficients in empirical models of ...
Miodragović, Tanja, Radičević, Branko, Bjelić, Mišo, Miodragović, Goran   +3 more
core   +1 more source

MEMOBWO: A Novel Multi-Objective Optimization Algorithm for UAV Path Planning in Complex Urban Environments

Actuators
Path planning for Unmanned Aerial Vehicles (UAV) in complex urban environments poses significant challenges for autonomous systems. This paper proposes a Multi-strategy Enhanced Multi-Objective Beluga Whale Optimization algorithm, termed MEMOBWO, to ...
Enze Zhang, Sining Wu, Yang Yi
doaj   +1 more source

A Novel Improved Beluga Whale Optimization Algorithm for Solving Localization Problem in Swarm Robotic Systems

In Swarm Robotic Systems (SRSs), only a few robots are equipped with Global Positioning System (GPS) devices, known as anchors. A challenge lies in inferring the positions of other unknown robots based on the positions of anchors.
Teng, Zuhao, Dong, Qian
core   +1 more source

Performance Evaluation of Beluga Whale Optimization–Long Short-Term Memory–Random Forest Networks for Trajectory Control and Energy Optimization in Excavator Systems

Over the past few years, reducing energy consumption in hydraulic excavators has gained increasing attention, driving significant research in this field. One effective strategy involves integrating hydrostatic transmission (HST) and hydraulic pump/motor (
Van Hien Nguyen, Kyoung Kwan Ahn
core   +1 more source