13 papers · ranked by Valyu relevance
Mahdieh Maazalahi, Soodeh Hosseini, Heitor Soares Ramos Filho
In this paper, a dynamic epidemic model of botnet attack propagation in scale-free networks is introduced based on the epidemic model. The proposed attack propagation model is based on the Susceptible-Exposure-Infected-Improved-Vaccinated-Recovery (SEIRVS) epidemic model. Here, an Intrusion Detection System (IDS) for…
Sara P. Weaver, Jon D. Ritter, Alexis M. Commiskey, Juan D. Garcia + 2 more
To understand conditions associated with bat fatalities at wind turbines for informing reduction strategies, researchers began using thermal camera video monitoring with a field of view (FOV) focused on the rotor swept area (RSA) to detect fatalities. However, confidently detecting fatalities and correctly classifying…
Warda M. Shaban, Hossam El-Din Moustafa, Mervat M. El-Seddek
Obesity, currently the fifth leading cause of death worldwide, has seen a significant increase in prevalence over the past four decades. Timely identification of obesity risk facilitates proactive measures against associated factors. In this paper, we proposed a new machine learning framework for predicting…
Takahiro Sato, Yoichi Kawaguchi, Xuebo Zhang
The rapidly growing number of wind farms is an increasing threat to many bat species and populations worldwide. Monitoring and prediction of bat collision risk requires techniques capable of quantifying bat movements over large spatial areas. Marine radar systems are highly effective tools for observing flying animals…
Brenda Delamonica, Mani Larijani, Thomas MacCarthy, Liliana M. Dávalos
3.1### ExTRaCT is robust across different mammalian clades When considering different clade inputs, for the same domain type and motif set, closely related species should result in similar hits. For domain type both the counts across the different clades are equal under motif set A (121) and B (123) but for motif set C…
Francesca Festa, Pamela Priori, Giulia Chiarello, Elisa Palumbo + 9 more
Bats are recognized reservoirs of diverse coronaviruses (CoVs), but little is known about the pathways enabling their spillover into livestock. This study applied a multidisciplinary approach, combining bioacoustic surveys, landscape analysis and molecular virology, to assess the risk of CoV transmission from bats to…
Ali Asghari, Mohammadhossein Mohammadi, Heming Jia
Metaheuristic algorithms are widely used to find optimal or near-optimal solutions for complex problems by taking inspiration from natural behaviors and processes. Although many different methods have been developed, a common problem in many of them is maintaining a good balance between exploration and exploitation and…
Serdar Ekinci, Davut Izci, Vedat Tümen, Mostafa Jabari + 3 more
Magnetic ball suspension (MBS) systems are widely used as benchmark platforms in control engineering due to their nonlinear dynamics and inherent open-loop instability, which pose substantial challenges for conventional linear control strategies. The objective of this study is to investigate a hyperbolic tangent-based…
Han Yang, Xingwang Huang, Heming Jia
The rapid development of intelligent systems has introduced increasingly sophisticated optimization problems across diverse domains. While contemporary metaheuristic algorithms, including the recent Artificial Lemming Algorithm (ALA), have shown considerable promise, they frequently encounter difficulties such as…
Serdar Ekinci, Davut Izci, Mostafa Jabari, Mohit Bajaj + 2 more
Achieving precise and stable engine speed regulation in spark-ignition (SI) systems remains a challenging task because of the inherent nonlinearities, time-varying characteristics, and external disturbances of internal combustion engines (ICEs). Conventional proportional-integral-derivative (PID) controllers often fail…
Siyan Li, Lei Kou, Yinggao Yue
The Red-Billed Blue Magpie Optimizer (RBMO) is a recently introduced swarm-based meta-heuristic that has shown strong potential in engineering optimization but remains under-explored. To address its inherent limitations, this paper proposes an Enhanced RBMO (ERBMO) that synergistically incorporates two key strategies…
Mingbin Tang, Yejun Zheng, Lianbao Li, Li Cao + 2 more
Complex engineering optimization problems often exhibit high-dimensional, multi-constraint, and nonlinear characteristics. Traditional deterministic optimization methods rely on gradient information and have limited optimization ranges, making it difficult to meet the requirements of efficient and accurate solutions.…
Neil M. Furey, Vuong Tan Tu, Alan Hitch, John Pilgrim + 1 more
Efforts to reduce bat fatalities caused by collisions with wind turbines in Southeast Asia are hampered by a lack of information on bat activity and factors influencing this at wind farms in the region. To address this deficit, we employed acoustic detectors to establish a baseline for bat activity at wind turbines in…