Results 61 to 70 of about 1,809,503 (180)

Federated Learning With Sailfish-Optimized Ensemble Models for Anomaly Detection in IoT Edge Computing Environment

IEEE Access
The Internet of Things (IoT) has transformed cyber-physical systems by enabling seamless connectivity and automation. However, IoT devices face resource constraints, making anomaly detection challenging.
Aravam Babu, A. Bagubali
doaj   +1 more source

Unraveling the Complexity of the Ne/Nc Ratio for Conservation of Large and Widespread Pelagic Fish Species: Current Status and Challenges

Evolutionary Applications, Volume 17, Issue 10, October 2024.
ABSTRACT Estimating and understanding the ratio between effective population size (Ne) and census population size (Nc) are pivotal in the conservation of large marine pelagic fish species, including bony fish such as tunas and cartilaginous fish such as sharks, given the challenges associated with obtaining accurate estimates of their abundance.
Chrystelle Delord, Sophie Arnaud‐Haond, Agostino Leone, Jonathan Rolland, Natacha Nikolic   +4 more
wiley   +1 more source

Postrelease Survival of Sailfish Caught by Commercial Pelagic Longline Gear in the Southern Gulf of Mexico [PDF]

, 2008
The biomass levels of several target species of the Atlantic pelagic longline fishery, including various tunas of the genus Thunnus and swordfish Xiphias gladius, are estimated to be close to those required to support the maximum sustainable yield.
D. W. Kerstetter, J. E. Graves, Graves, John E., Kerstetter, David W.   +3 more
core   +1 more source

The Hydrodynamic Performance of a Vertical-Axis Hydro Turbine with an Airfoil Designed Based on the Outline of a Sailfish

Journal of Marine Science and Engineering
This study investigates an aerodynamic optimization framework inspired by marine biological morphology, utilizing the sailfish profile as a basis for airfoil configuration. Through Latin hypercube experimental design combined with optimization algorithms,
Aiping Wu, Shiming Wang, Chenglin Ding
doaj   +1 more source

Making Ecosystem Modeling Operational–A Novel Distributed Execution Framework to Systematically Explore Ecological Responses to Divergent Climate Trajectories

Earth's Future, Volume 12, Issue 3, March 2024.
Abstract Marine Ecosystem Models (MEMs) are increasingly driven by Earth System Models (ESMs) to better understand marine ecosystem dynamics, and to analyze the effects of alternative management efforts for marine ecosystems under potential scenarios of climate change.
Jeroen Steenbeek, Pablo Ortega, Raffaele Bernardello, Villy Christensen, Marta Coll, Eleftheria Exarchou, Alba Fuster‐Alonso, Ryan Heneghan, Laura Julià Melis, Maria Grazia Pennino, David Rivas, Noel Keenlyside   +11 more
wiley   +1 more source

Biology of Arabian Gulf sailfish [PDF]

, 2005
Biological and life history characteristics for a previously unstudied population of sailfish, Istiophorus platypterus, in the Arabian Gulf were investigated.
Hoolihan, John Paul Jr.
core   +1 more source

Rolling bearing weak fault detection using transient structure‐optimal VMD and adaptive group sparse coding

IET Science, Measurement &Technology, Volume 18, Issue 2, Page 86-102, March 2024.
The contributions of this paper are mainly reflected in: (1) A method for determining the modes number of VMD using SVS technology is proposed, which can effectively avoid the shortcomings of the optimization algorithm. (2) The TSM index is established to describe the transient structure of bearing fault signals, and the balance factor selection based ...
Xing Yuan, Hui Liu, Huijie Zhang
wiley   +1 more source

Dynamic landslide susceptibility mapping using swarm intelligence and multi-temporal InSAR

Geomatics, Natural Hazards & Risk
Accurate landslide susceptibility mapping is key to effectively mitigating risks in mining-affected environments; however, most existing approaches rely on static assumptions and single-dimension optimization, limiting their ability to capture evolving ...
Liang Dong, Jin Zhang, Bin Zhang, Ao Zhao, Wenqing Feng   +4 more
doaj   +1 more source

Dynamic allocation and optimization strategy of communication network resources driven by reinforcement learning

Discover Artificial Intelligence
Modern communication networks are becoming increasingly complex as they accommodate rising traffic from mobile users, expanding IoT ecosystems, and delay-sensitive services.
Qixuan Yu
doaj   +1 more source

Credit card fraud detection using the brown bear optimization algorithm

Alexandria Engineering Journal
Fraud detection in banking systems is crucial for financial stability, customer protection, reputation management, and regulatory compliance. Machine Learning (ML) is vital in improving data analysis, real-time fraud detection, and developing fraud ...
Shaymaa E. Sorour, Khalied M. AlBarrak, Amr A. Abohany, Amr A. Abd El-Mageed   +3 more
doaj   +1 more source