Results 51 to 60 of about 7,742 (217)

Intelligent Image Segment for Material Composition Detection

MATEC Web of Conferences, 2017
In the process of material composition detection, the image analysis is an inevitable problem. Multilevel thresholding based OTSU method is one of the most popular image segmentation techniques.
Liang Xiaodan, Lin Na, Chen Hanning, Liu Wenxin   +3 more
doaj   +1 more source

Ensemble Kalman filter in latent space using a variational autoencoder pair

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The use of the ensemble Kalman filter (EnKF) in strongly nonlinear or constrained atmospheric, oceanographic, or sea‐ice models can be challenging. Applying the EnKF in the latent space of a variational autoencoder (VAE) ensures that the ensemble members satisfy the balances and constraints present in the model.
Ivo Pasmans, Yumeng Chen, Tobias Sebastian Finn, Marc Bocquet, Alberto Carrassi   +4 more
wiley   +1 more source

Working 9 to 5: Diurnal Variability in Terrestrial Invertebrate Activity Does Not Compromise Ecosystem Health Assessments in Dry Stream Channels

River Research and Applications, EarlyView.
ABSTRACT Temporary streams are impacted by climate change and other anthropogenic pressures, but fluctuating water levels complicate ecological assessments. Terrestrial invertebrate communities may enable dry‐phase assessments, but their sampling can be resource intensive.
Kieran J. Gething, Chloe Hayes, Jaime Martin, Patrycja Meadows, Judy England, Tim Sykes, Rachel Stubbington   +6 more
wiley   +1 more source

From Membrane Composition to Antimicrobial Strategies: Experimental and Computational Approaches to AMP Design and Selectivity

Small, EarlyView.
Antimicrobial peptides (AMPs) are promising candidates for next‐generation antibiotics, acting through mechanisms such as membrane disruption and intracellular targeting. This review examines how variations in bacterial membrane composition critically influence AMP activity.
Paolo Rossetti, Marius F.W. Trollmann, Christina Wichmann, Thomas Gutsmann, Christian Eggeling, Rainer A. Böckmann   +5 more
wiley   +1 more source

Optimized Artificial Bee Colony Algorithm with Markov Chain

Jisuanji kexue yu tansuo, 2020
The shortcomings of the artificial bee colony algorithm (ABC) and its improved algorithm are analyzed. This paper proposes the improved Markov ABC (IMABC) dividing the ABC algorithm into two stages by verifying the Markov property of the artificial bee ...
GUO Jia, MA Chaobin, ZHANG Shaobo, MIAO Mengmeng
doaj   +1 more source

Opportunities for 2D‐Material‐Based Multifunctional Devices and Systems in Bioinspired Neural Networks

Small, EarlyView.
Bio‐inspired computing offers a route to highly energy‐efficient artificial intelligence. The unique physical properties of two‐dimensional (2D) materials can further enhance such computing approaches. This perspective highlights recent developments in 2D materials‐based neuromorphic devices and discusses future opportunities for integrating such novel
Jin Feng Leong, Maheswari Sivan, Jieming Pan, Zihang Fang, Jianan Li, Zefeng Xu, Shi Zhao, Quanzhen Wan, Evgeny Zamburg, Aaron Voon‐Yew Thean   +9 more
wiley   +1 more source

Pickin' up good vibrations: a systematic review of footfall detection and analysis in the realm of wildlife surveying

Wildlife Biology, EarlyView.
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge, Luigi La Spada, Robert A. Briers, Niamh M. McHugh, Patrick J. C. White   +4 more
wiley   +1 more source

Building Blocks as Experiences in Dynamic Capacitated Arc Routing Problems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The dynamic capacitated arc routing problem (DCARP) aims to update the service paths of vehicles in the capacitated arc routing problem when uncertain factors deteriorate the current schedule of vehicles' services. A DCARP scenario comprises a series of DCARP instances that share similarities with each other. Therefore, optimisation experience
Hao Tong, Leandro L. Minku, Stefan Menzel, Bernhard Sendhoff, Xin Yao   +4 more
wiley   +1 more source

Power flow management in hybrid AC/DC microgrids using the Artificial Bee Colony metaheuristic algorithm: A comparative study

Franklin Open
This paper presents an advanced power flow management strategy for a hybrid AC/DC microgrid integrating renewable energy sources such as photovoltaic systems and wind turbines, alongside an energy storage system and a gas turbine as a polluting source ...
Ssadik Charadi, Houssame Eddine Chakir, Abdelbari Redouane, Youssef Akarne, Abdennebi El Hasnaoui, Mehdi Et-taoussi   +5 more
doaj   +1 more source

A timetable optimization model and an improved artificial bee colony algorithm for maximizing regenerative energy utilization in a subway system

Advances in Mechanical Engineering, 2018
Maximizing regenerative energy utilization in subway systems has become a hot research topic in recent years. By coordinating traction and braking trains in a substation, regenerative energy is optimally utilized and thus energy consumption from the ...
Hongjie Liu, Tao Tang, Xiwang Guo, Xisheng Xia   +3 more
doaj   +1 more source