IACRA: LIFETIME OPTIMIZATION BY INVULNERABILITY-AWARE CLUSTERING ROUTING ALGORITHM USING GAME-THEORETIC APPROACH FOR WSNS

IACRA: Lifetime Optimization by Invulnerability-Aware Clustering Routing Algorithm Using Game-Theoretic Approach for Wsns

Energy limitation is one of the intrinsic shortcomings of wireless sensor networks (WSNs), although it has been widely applied in disaster response, battlefield surveillance, wildfire monitoring, radioactivity detection, etc.Due to the large amount of energy consumed for data transmission, how to prolong the network lifespan by designing various hi

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Hierarchical image classification using transfer learning to improve deep learning model performance for amazon parrots

Abstract Numerous studies have proven the potential of deep learning models for classifying wildlife.Such models can reduce the workload of experts by automating species classification to monitor wild populations and global trade.Although deep learning models typically perform better with more input data, pear the available wildlife data are ordina

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Toxicological aspects of increased use of surface and hand disinfectants in Croatia during the COVID-19 pandemic: a preliminary report

All COVID-19 prevention strategies include regular use of surface disinfectants and hand sanitisers.As these measures took hold in Croatia, the Croatian Poison Control Centre started receiving phone calls from the general public and healthcare workers, which prompted us to investigate whether the risk of suspected/symptomatic poisonings with disinf

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Movement and habitat selection of a large carnivore in response to human infrastructure differs by life stage

Abstract Background The movement extent of mammals is influenced by human-modified areas, which can affect population demographics.Understanding how human infrastructure influences movement at different life stages is important for wildlife management.This is true especially for large carnivores, due to their substantial space requirements and pote

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