Results 81 to 90 of about 654 (182)

Marshall–Olkin Alpha Power Transformed Extended‐X Distribution and Its Applications

Journal of Probability and Statistics, Volume 2026, Issue 1, 2026.
This paper introduces the Marshall–Olkin Alpha Power Transformed Extended‐X (MOAPTE‐X) family of distributions, a highly flexible class designed to address limitations of existing models. We develop a novel four‐parameter distribution, called the Marshall–Olkin Alpha Power Transformed Extended‐Inverted Kumaraswamy (MOAPTE‐IK), with one scale parameter ...
Eunice Shadrack John, Anthony Kibira Wanjoya, Mutua Kilai, Anoop Kumar, Najwan Alsadat, Smritijit Sen   +5 more
wiley   +1 more source

3D Path Planning of UAV Based on Adaptive Slime Mould Algorithm Optimization

, 2023
Aimed at the problems of insufficient search range and optimization performance in 3D path planning of unmanned aerial vehicles (UAVs), and the lack of optimization accuracy of the existing slime mould algorithm (SMA), which is easy to fall into local ...
HUANG He, GAO Yongbo, RU Feng, YANG Lan, WANG Huifeng
core   +1 more source

Flyway‐Scale Assessment of Habitat Suitability and Key Environmental Drivers for Waterbirds in Southern China

Ecology and Evolution, Volume 15, Issue 12, December 2025.
This study assessed the distribution of suitable habitats and ecological drivers for 47 waterbird species in eastern and southern China (south of the 800 mm isohyet), revealing a clear coastal‐to‐inland gradient, with NDVI and DEM identified as key environmental variables. Different ecological groups exhibited distinct habitat preferences.
Jiaxu Fan, Peng Du, Yi Lian, Lei Cui, Haixiao Li, Long He, Yuanyuan Tan, Xunqiang Mo, Zhengwang Zhang   +8 more
wiley   +1 more source

AI‐Based Autonomous Sailboat Navigation: A Review

Journal of Field Robotics, Volume 42, Issue 8, Page 4157-4180, December 2025.
ABSTRACT This review explores the recent advancements in AI‐driven autonomous sailboat navigation, underscoring its pivotal role in ocean monitoring and real‐time maritime data collection. Drawing on an extensive range of primary and secondary sources, the study critically evaluates current challenges, innovative control algorithms, and path planning ...
Vishali Mankina, André P. D. Araújo, Raphael Guerra, Esteban W. G. Clua, Carlo Cernicchiaro, Luiz M. G. Gonçalves, Cosimo Distante   +6 more
wiley   +1 more source

Measurement of Agricultural Water and Land Resource System Vulnerability with Random Forest Model Implied by the Seagull Optimization Algorithm

, 2022
To evaluate the state of an agricultural development more comprehensively, a vulnerability assessment is introduced into agricultural water and land resources system, and it is expected that the vulnerability assessment can provide a basis for improving ...
Dan Zhao, Yikai Zhao, Yanlong Han, Xiuli Men, Xiangwei Chen   +4 more
core   +1 more source

Energy Aware Seagull Optimization-Based Unequal Clustering Technique in WSN Communication

, 2022
Wireless sensor network (WSN) becomes a hot research area owing to an extensive set of applications. In order to accomplish energy efficiency in WSN, most of the earlier works have focused on the clustering process which enables to elect CHs and organize
R., Srinivasan, D. Vijendra, Babu, J. Faritha, Banu, T. Ch. Anil, Kumar, D., Anuradha, Aditya Kumar Singh, Pundir   +5 more
core   +1 more source

Modified Seagull Optimization With Deep Learning for Affect Classification in Arabic Tweets

, 2023
Arabic is one of the world’s most widely spoken languages, and there is a huge amount of digital content available in Arabic. By the categorization of Arabic documents, it becomes easier to search and access specific content of interest.
Amira Sayed A. Aziz, Badriyya B. Al-Onazi, Hassan Alshamrani, Mohammed Rizwanullah, Fatimah Okleh Aldaajeh   +4 more
core   +1 more source

Developed Coyote Optimization Algorithm and its application to optimal parameters estimation of PEMFC model

, 2020
In this paper, a new approach has been introduced for optimal parameter estimation of a proton exchange membrane fuel cell (PEMFC) model. The main purpose is to minimize the total error between the empirical data and the proposed method by optimal ...
Wang, Weiqing, Wang, Haiyun, Yildizbasi, Abdullah, Yuan, Zhi   +3 more
core   +1 more source

A new technique for optimal estimation of the circuit-based PEMFCs using developed Sunflower Optimization Algorithm

, 2020
This paper proposes a new methodology for the optimal selection of the parameters for proton exchange membrane fuel cell (PEMFC) models. The proposed method is to optimal parameter selection of the circuit-based model of the PEMFC model to minimize the ...
Wang, Weiqing, Wang, Haiyun, Razmjooy, Navid, Yuan, Zhi   +3 more
core   +1 more source

Multi-strategy seagull optimization for wireless sensor network deployment with chaotic and quantum enhancements

Journal of Engineering and Applied Science
The efficient placement of sensor nodes in a Wireless Sensor Network (WSN) ensures extensive coverage with little redundancy and energy consumption. Traditional metaheuristic approaches, such as the Seagull Optimization Algorithm (SOA), suffer from slow ...
Xubin Dong, Peng Lu, Xiaogang Wang
doaj   +1 more source