Results 71 to 80 of about 4,310,058 (151)
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 +11 more
wiley +1 more source
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
Evidence from interpretable machine learning to inform spatial management of Palau's tuna fisheries
Abstract Static and dynamic area‐based management tools hold substantial potential to balance socioeconomic benefits derived from fisheries and costs from bycatch mortality of at‐risk species. Palau longline fisheries have high bycatch of at‐risk species including the olive ridley marine turtle and silky and blue sharks.
Eric Gilman, Milani Chaloupka
wiley +1 more source
Abstract Identifying the species response to changing environments can contribute towards proactive and adaptable resource management and, although obtaining observations can be logistically challenging for aquatic species, can be postulated through monitoring. A network of acoustic tracking receivers (n = 93) across south‐eastern Australia was used to
Thomas M. Clarke +9 more
wiley +1 more source
The marine linefish resources of Moçambique (status, development and future research) [PDF]
Marine line-fishing is seen to be of major importance to the social well-being and economy of many coastal people of Mozambique. Aspects of the artisanal and semi-industrial fisheries of Mozambique are described and a recent significant increase in ...
David, B. +2 more
core
Detecting Autism spectrum disorder with sailfish optimisation [PDF]
68-73Autism Spectrum Disorder (ASD), a neurodevelopmental disorder, has been a bottleneck to several clinical researchers due to data modularization, subjective analysis, and shifts in the accurate prediction of the disorder amongst the sample ...
Balakrishnan, K +2 more
core
Credit card fraud detection using the brown bear optimization algorithm
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 +3 more
doaj +1 more source
Preliminary results of fisheries investigation associated with Skylab-3 [PDF]
The author has identified the following significant results. This investigation is to establish the feasibility of utilizing remotely sensed data acquired from aircraft and satellite platforms to provide information concerning the distribution and ...
Faller, K. +3 more
core +1 more source
The feasibility of utilizing remotely sensed data to assess and monitor oceanic gamefish [PDF]
There are no author-identified significant results in this ...
Leming, T. D., Savastano, K. J.
core +1 more source
Introductory Review of Swarm Intelligence Techniques
With the rapid upliftment of technology, there has emerged a dire need to fine-tune or optimize certain processes, software, models or structures, with utmost accuracy and efficiency.
Biswas, Anupam +5 more
core

