Results 1 to 10 of about 29 (26)

Siberian Tiger Optimization: A New Bio-Inspired Metaheuristic Algorithm for Solving Engineering Optimization Problems

open access: yesIEEE Access, 2022
In this article, a new metaheuristic algorithm called Siberian Tiger Optimization (STO) is designed to deal with optimization applications. The fundamental inspiration of STO is the imitation of the natural behavior of the Siberian tiger during hunting ...
Pavel Trojovsky   +2 more
doaj   +3 more sources

A Multi-Strategy Siberian Tiger Optimization Algorithm for Task Scheduling in Remote Sensing Data Batch Processing

open access: yesBiomimetics
With advancements in integrated space–air–ground global observation capabilities, the volume of remote sensing data is experiencing exponential growth. Traditional computing models can no longer meet the task processing demands brought about by the vast ...
Ziqi Liu   +6 more
doaj   +3 more sources

Distributed optimization for IoT attack detection using federated learning and Siberian Tiger optimizer

open access: yesICT Express
The rapid growth of IoT devices has heightened the risk of botnet attacks, calling for scalable and distributed detection solutions. In this context, this study proposes a distributed optimization system for IoT attack detection using CNN model utilizing
Brij B. Gupta   +5 more
doaj   +3 more sources

Predicting Soil Salinity in the Red River Delta (Vietnam) Using Machine Learning and Assessing Farmers' Adaptive Capacity [PDF]

open access: yesNatural Hazards and Earth System Sciences
Soil salinity is a grave environmental threat to agricultural development and food security in large parts of the world, especially in the situation of global warming and sea level rise.
H. D. Nguyen   +6 more
doaj   +1 more source

Predicting equilibrium scour depth around non-circular bridge piers with shallow foundations using hybrid explainable machine learning methods

open access: yesResults in Engineering
Scouring around bridge piers is a critical concern, as the risk of bridge failures poses significant economic and safety threats to the public. Traditional models often struggle to accurately estimate the equilibrium scour depth (deq) at bridge piers due
Nasrin Eini   +5 more
doaj   +1 more source

Nature-inspired approaches for clean energy integration in smart grids

open access: yesAlexandria Engineering Journal
Optimizing domestic energy use and increasing the efficiency of residential power supply chains depend much on home energy management (HEM) systems. This paper examines the utilization of advanced meta-heuristics, namely the Siberian Tiger Optimization ...
Eman Ali aldhahri   +2 more
doaj   +1 more source

A high efficiency active X2G boost converter with hybrid optimized proportional integral controller for PV powered EV charging applications

open access: yesScientific Reports
Photovoltaic (PV) integration with Electric Vehicles (EV) plays a pivotal role in promoting sustainable transportation and fostering clean energy ecosystems.
G. Chandrasekar, S. A. Lakshmanan
doaj   +1 more source

Harnessing feature pruning with optimal deep learning-based distributed denial of service cyberattack detection on IoT environment

open access: yesAlexandria Engineering Journal
The Internet of Things (IoT) sensor networks are interconnected networks of physical equipped with sensors, communication features, and actuators. These devices can gather, transmit, and share information with central systems.
Rania Aboalela   +7 more
doaj   +1 more source

An integration of ensemble deep learning with hybrid optimization approaches for effective underwater object detection and classification model

open access: yesScientific Reports
Underwater object detection (UOD) is essential in maritime environmental study and underwater species protection. The development of associated technology holds real-world importance.
G. Abirami   +6 more
doaj   +1 more source
Some of the next articles are maybe not open access.

Cutaneous Amelanotic Signet-Ring Melanoma in a Siberian Tiger ()

Journal of Comparative Pathology, 2021
Martha E Hensel   +2 more
exaly  

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