ISOA‐DBN: A New Data‐Driven Method for Studying the Operating Characteristics of Air Conditioners by Mengran Zhou, Qiqi Zhang, Feng Hu, Ling Wang, Guangyao Zhou, Weile Kong, Changzhen Wu, Enhan Cui

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Photovoltaic solar energy prediction using the seasonal-trend decomposition layer and ASOA optimized LSTM neural network model by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

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A Hybrid Heuristic Model for Duty Cycle Framework Optimization by Kwabena Ansah, Justice Kwame Appati, Ebenezer Owusu, Jamal-Deen Abdulai

“…This paper proposes a hybrid metaheuristic approach to optimize a duty cycle framework based on Seagull and Mayfly Optimization (HSMO-DC) Algorithm. …”
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A hybrid swarm intelligent optimization algorithm for antenna design problems by Supreet Singh, Harbinder Singh, Nitin Mittal, Gurpreet Kaur Punj, Lalit Kumar, Kinde Anlay Fante

“…To address these limitations, this paper proposes an enhanced version of NMRA, called Salp Swarm and Seagull Optimization-based NMRA (SSNMRA), which integrates the search mechanisms of the Seagull Optimization Algorithm (SOA) and the Salp Swarm Algorithm (SSA). …”
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Influence of teaching a structured and humanized method of care on the perception of medical student attitudes in the doctor-patient relationship. by Higor Chagas Cardoso, Edna Regina Silva Pereira, Viviane Soares, Marcelo Fouad Rabahi

“…The intervention, with a group of randomized students, included teaching the structured and humanized method of patient care, denominated the SEAGULL (Subjective, Exams, Analysis, Goal, Ultimate Action), and was carried out at the university outpatient clinic.…”
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Multiobjective Day-Ahead Scheduling of Reconfigurable-Based Microgrids Through Electric Vehicles and Demand Response Integration by Ali Mirzaei, Navid Taghizadegan Kalantari, Sajad Najafi Ravadanegh

“…Because of these two compromising objectives, the evolutionary multiobjective seagull optimization algorithm is utilized to find the best local solutions. …”
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A Crude Oil Spot Price Forecasting Method Incorporating Quadratic Decomposition and Residual Forecasting by Yonghui Duan, Ziru Ming, Xiang Wang

“…Additionally, this work proposes to optimize the support vector regression model (SVR) by the seagull optimization algorithm (SOA). Ultimately, the empirical investigation created the feature-variable system and predicted the filtered features. …”
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Assessment of LiDAR-Based Sensing Technologies in Bird–Drone Collision Scenarios by Paula Seoane, Enrique Aldao, Fernando Veiga-López, Higinio González-Jorge

“…Six different collision trajectories and three different bird sizes (pigeon, falcon, and seagull) are tested. The results show that the LiDAR can detect any of these birds at about 30 m; bird detection improves when the bird gets closer and has a larger size. …”
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