Results 81 to 90 of about 449 (165)

Transient Stability-Constrained Optimal Power Flow Model Based on CatBoost-DF and ISOA

Energies
Traditional transient stability-constrained optimal power flow (TSCOPF) methods rely on solving complex nonlinear differential equations, resulting in high computational demands and lengthy processing times. To address these issues, this paper proposes a
Songkai Liu, Yifan Zhao, Lei Zhang, Di Ai, Biqing Ye, Yiduo Geng   +5 more
doaj   +1 more source

Metaparameter optimized hybrid deep learning model for next generation cybersecurity in software defined networking environment. [PDF]

Sci Rep
The Software Defined Networking (SDN) method has evolved to project future systems and collect novel application needs for several years. SDN delivers sources for enhancing management and system control by splitting data and control plane, and the ...
Kumar CL, Betam S, Pustokhin D, Laxmi Lydia E, Bala K, Aluvalu R, Panigrahi BS.   +6 more
europepmc   +2 more sources

Energy-Efficient Distributed Welding Shop Scheduling Based on Multi-Objective Seagull Algorithm

For the energy-efficient distributed welding shop scheduling problem, focusing on the scheduling of production in a distributed welding shop, a mathematical model is established with the objective of minimizing the makespan and total energy consumption ...
Runkang Peng, Meimei Li, Wengang Cao, Cuiruikai Li   +3 more
core   +1 more source

An improved hybrid feature selection and classification framework for breast cancer detection using mammography images

Ain Shams Engineering Journal
Breast cancer is one of the most common diseases that affects women around the world. Finding it early can help save lives. Doctors usually use tests like biopsy, ultrasound, CT scan, and mammography to detect breast cancer.
Aniruddha Deka, Debashis Dev Misra, Munsifa Firdaus Khan Barbhuyan, Mudassir Khan, Mostaque Md. Morshedur Hassan, Mohammed Ashfaq Hussain   +5 more
doaj   +1 more source

A Method for the Front-End Design of Electric SUVs Integrating Kansei Engineering and the Seagull Optimization Algorithm

With the rapid expansion of the Electric Sport Utility Vehicle (ESUV) market, capturing consumer aesthetic preferences and emotional needs through front-end styling has become a key issue in automotive design. However, traditional Kansei Engineering (KE)
Yutong Zhang, Xiaotong Wang, Qi Wang, Li Sun, Jiantao Wu, Yiming Li   +5 more
core   +1 more source

Safety-aware autonomous robot navigation, mapping and control by optimization techniques

, 2023
The realm of autonomous robotics has seen impressive advancements in recent years, with robots taking on essential roles in various sectors, including disaster response, environmental monitoring, agriculture, and healthcare.
Lei, Tingjun
core  

Hybrid Strategies Based Seagull Optimization Algorithm for Solving Engineering Design Problems

International Journal of Computational Intelligence Systems
The seagull optimization algorithm (SOA) is a meta-heuristic algorithm proposed in 2019. It has the advantages of structural simplicity, few parameters and easy implementation.
Pingjing Hou, Jiang Liu, Feng Ni, Leyi Zhang   +3 more
doaj   +1 more source

Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis

IEEE Access
Tuberculosis, caused by Mycobacterium tuberculosis, is a lung-focused infectious disease with a profound impact on the respiratory system. Although advancements in healthcare have improved detection of various diseases, TB remains a global health issue ...
C. R. Dhivyaa, K. Nithya, C. Sathiya Kumar, R. Sudhakar   +3 more
doaj   +1 more source

Privacy-preserving fitness recommendation system using modified seagull monarch butterfly optimized deep learning model

This paper presents a novel modified seagull monarch butterfly optimization (MSMBO) algorithm, with a multi-objective focus on privacy and personalization in the fitness recommender system using a refined three-tier deep learning structure. The method is
Shinde, Shilpa, Gupta, Esmita
core   +1 more source

Fault Diagnosis and Data Reconstruction of Temperature Sensors for Wind Turbine Stator Winding

Shock and Vibration
A proposed method for diagnosing sensor faults in the stator winding temperature sensor of a wind turbine is introduced, aiming to address the significant issues that arise when such malfunctions occur, affecting the overall stable operation of the ...
Ling Zhou, Qiancheng Zhao, Jinhui Zeng, Anfeng Zhu, Xiafei Long, Ling He   +5 more
doaj   +1 more source