Efficient Computation in Adaptive Artificial Spiking Neural Networks [PDF]
Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog values in a frame-based manner, a computationally and ...
Bohte, Sander +3 more
core +1 more source
Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command +8 more
wiley +1 more source
Marine Benthic Habitat Mapping of Muir Inlet, Glacier Bay National Park and Preserve, Alaska With an Evaluation of the Coastal and Marine Ecological Classification Standard III [PDF]
Seafloor geology and potential benthic habitats were mapped in Muir Inlet, Glacier Bay National Park and Preserve, Alaska, using multibeam sonar, ground-truth information, and geological interpretations. Muir Inlet is a recently deglaciated fjord that is
Cochrane, Guy R +4 more
core +2 more sources
This study presents an end‐to‐end computer‐vision pipeline for monitoring fish migration using underwater video. We integrate field camera deployment, annotation, model training and automated in‐season counting to generate continuous, high‐resolution data on river herring spawning migration.
Zhongqi Chen +7 more
wiley +1 more source
Fast, Accurate Thin-Structure Obstacle Detection for Autonomous Mobile Robots
Safety is paramount for mobile robotic platforms such as self-driving cars and unmanned aerial vehicles. This work is devoted to a task that is indispensable for safety yet was largely overlooked in the past -- detecting obstacles that are of very thin ...
Hua, Gang +3 more
core +1 more source
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao +10 more
wiley +1 more source
The Nexus Between Circular Economy and Sustainable Supply Chain Management: PRISMA Methodology
ABSTRACT The intersection of sustainable supply chain management (SSCM) and circular economy (CE) has attracted increasing academic and practical attention, emphasizing the need for integrated sustainability approaches. This study employs the PRISMA protocol and conceptualizes the CE–SSCM relationship as a dynamic system in which internal capabilities,
Feriel Barkaoui, Khaled Ben abdallah
wiley +1 more source
High-Resolution Sonars: What Resolution Do We Need for Target Recognition?
Target recognition in sonar imagery has long been an active research area in the maritime domain, especially in the mine-counter measure context. Recently it has received even more attention as new sensors with increased resolution have been developed ...
Pailhas Yan, Petillot Yvan, Capus Chris
doaj
The Rise of Certificate Transparency and Its Implications on the Internet Ecosystem
In this paper, we analyze the evolution of Certificate Transparency (CT) over time and explore the implications of exposing certificate DNS names from the perspective of security and privacy.
Amann, Johanna +8 more
core +1 more source
Observations of deep coral and sponge assemblages in Olympic Coast National Marine Sanctuary, Washington. Cruise Report: NOAA Ship McArthur II Cruise AR06-07/07 [PDF]
From May 22 to June 4, 2006, NOAA scientists led a research cruise using the ROPOS Remotely Operated Vehicle (ROV) to conduct a series of dives at targeted sites in the Olympic Coast National Marine Sanctuary (OCNMS) with the goal of documenting deep ...
Bowlby, C. E. +4 more
core

