18 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…
Xin-She Yang, Mehmet Karamanoglu
Parameter settings in evolutionary algorithms and metaheuristics are important because such parameter values can influence the performance of algorithms under evaluation. For a given algorithm, there are many different numerical experiments to show that the algorithm can work well in practice; however, in most cases…
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…
Eighdi Aung, Nicole Abaid
Bats are fast fliers with great maneuverability. Many species sense and communicate through echolocation, relying on acoustic signals in the environment. Bats also form large colonies, which necessitates that they fly in groups. When the group size increases or obstacles are in their flight paths, the acoustic space…
Istiak Ahmed, Kazi Shahriar Sanjid, Galib Ahmed, Md. Tanzim Hossain + 15 more
We present a clinically deployed end-to-end auto-contouring system for cervical cancer radiotherapy planning, anchored by the Boundary-Aware Transformer with Region-Aware Mamba (BAT-RM), a hybrid architecture that integrates Sobel-gated boundary attention, a linear-time, multi-directional Mamba module for long-range…
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
1## Introduction An initiative to sequence all living bat genomes, known as the Bat1K project, aims to discover unique adaptations in bats (; ). However, existing computational tools to identify and annotate gene family members in non-model organism genome assemblies often rely on computationally expensive methods…
K. Zengel, Anna Klales
Here is a simple experiment you can run remotely or in person with basic household items: making a bat signal. First, have your students cut out a bat shape from black construction paper, then have them hold the bat in front of a desk lamp aimed at the wall. This setup looks like what we see in the movies and comics…
S. Ronchini, T. Parsotan, J. DeLaunay, J. A. Kennea
The Burst Alert Telescope (BAT) onboard the Neil Gehrels Swift Observatory is capable of localizing gamma-ray transients with arcminute precision, enabling rapid multi-wavelength follow-up. However, onboard triggering is disabled during spacecraft slews, preventing the autonomous detection and localization of…
Emyo Fujioka, Masashi Shiraishi, Tamao Hirao, Yui Onishi + 2 more
Group foraging can enhance prey detection, but depending on resource availability, it may also generate conflicts among conspecifics. To understand how animals balance these benefits and costs, foraging performance must be evaluated together with inter-individual interactions. However, under fully natural conditions…
Hisham A. Shehadeh, Mohd Yamani Idna Idris, Iqbal H. Jebril
In this paper, a novel bio-inspired optimization algorithm is proposed, called "Bombardier Beetle Optimizer (BBO)". This type of species is very intelligent, which has an ability to defense and escape from predators. The principles of the former one is inspired by the defense mechanism of Bombardier Beetle against the…
Authors not listed
Atomistic simulations provide essential mechanistic insights into chemical processes, yet many important phenomena in chemistry and materials science occur on timescales that are inaccessible to molecular dynamics. Existing computational approaches force a choice between atomic resolution on relatively short timescales…
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Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
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Exploring the potential energy surface to sample transition state regions is crucial to understand the atomic processes that govern chemical reactivity. Ideally, the exploration does not require any collective variables that are based on prior chemical domain knowledge. With this in mind, we adapt the stochastic saddle…
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…
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Finding the most stable adsorption geometry of a flexible molecule on a catalytic surface remains a key challenge due to the high dimensionality and ruggedness of the potential energy surface. We present a Gradient-Enhanced Genetic Algorithm (GE-GA) for the global optimization of adsorbate–surface configurations…
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Designing efficient photoreactors remains challenging due to the complex interplay of light transport phenomena, shaped by reflection, scattering and absorption processes. Here, we introduce a workflow that integrates ray-tracing digital twins with multi-objective Bayesian optimization to autonomously design…