Optimization of time modulated array antennas based on improved gray wolf optimizer
AIP AdvancesWith the widespread application of intelligent optimization algorithms in engineering and scientific fields, the need for their improvement and optimization is increasingly evident.
TianNing Zhu +3 more
doaj +2 more sources
Quadra Sense: A Fusion of Deep Learning Classifiers for Mitosis Detection in Breast Cancer Histopathology [PDF]
DiagnosticsBackground/Objectives: The difficulties caused by breast cancer have been addressed in a number of ways. Since it is said to be the second most common cause of death from cancer among women, early intervention is crucial.
Afnan M. Alhassan, Nouf I. Altmami
doaj +2 more sources
AIP AdvancesText classification is a key task in natural language processing that entails sorting textual information into specified categories. Over time, techniques for text classification have progressed from rule-based methods to more advanced deep learning and ...
Yuanyuan Chen +4 more
doaj +2 more sources
Intelligent Systems with ApplicationsHorned Lizard Optimization Algorithm (HLOA) is a newly developed swarm-based metaheuristic technique that emulates the defensive behaviors of the horned lizard in nature.
Hegazy Rezk +2 more
doaj +2 more sources
Research on the application of refinement hierarchical population algorithm in MPPT of photovoltaic arrays. [PDF]
PLoS ONEConsidering the slow convergence speed and unstable transmission capacity of photovoltaic systems in maximum power point tracking (MPPT), this paper proposes a MPPT control strategy based on the fine-layered population algorithm.
Wei Liming, Kou Qi
doaj +2 more sources
EAI Endorsed Transactions on Energy WebINTRODUCTION: The complexity of the power network, changes in weather conditions, diverse geographical locations, and holiday activities comprehensively affect the normal operation of power loads.
Mengfan Xu, Junyang Pan
doaj +2 more sources
Enhanced seagull optimization for enhanced accuracy in CUDA-accelerated Levenberg–Marquardt backpropagation neural networks for earthquake forecasting [PDF]
Frontiers in Built EnvironmentHyperparameter tuning is crucial for enhancing the accuracy and reliability of artificial neural networks (ANNs). This study presents an optimization of the Levenberg–Marquardt backpropagation neural network (LM-BPNN) by integrating an improved seagull ...
Manoj Kollam, Ajay Joshi
doaj +2 more sources
Breast Cancer Classification via a High-Precision Hybrid IGWO–SOA Optimized Deep Learning Framework
AIBreast cancer (BRCA) remains a significant cause of mortality among women, particularly in developing and underdeveloped regions, where early detection is crucial for effective treatment.
Aniruddha Deka +3 more
doaj +2 more sources
ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners
Energy Science & EngineeringAir conditioning load is a crucial demand response resource for optimizing energy consumption control, and its accurate analysis provides an essential basis for achieving efficient energy management.
Mengran Zhou +7 more
doaj +2 more sources
Multicamera Calibration Optimization Method Based on Improved Seagull Algorithm [PDF]
Security and Communication Networks, 2021 There are some problems in the process of camera calibration, such as insufficient accuracy and poor accuracy. Based on the seagull algorithm, the adaptive differential evolution algorithm is combined with the seagull algorithm to optimize the multicamera calibration.
Shuai Du, Jianyu Wang, Jia Guo
openaire +1 more source