Machine learning and deep learning—A review for ecologists
The popularity of machine learning (ML), deep learning (DL) and artificial intelligence (AI)
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
has risen sharply in recent years. Despite this spike in popularity, the inner workings of ML …
Towards the fully automated monitoring of ecological communities
High‐resolution monitoring is fundamental to understand ecosystems dynamics in an era of
global change and biodiversity declines. While real‐time and automated monitoring of …
global change and biodiversity declines. While real‐time and automated monitoring of …
SpectralGPT: Spectral foundation model
The foundation model has recently garnered significant attention due to its potential to
revolutionize the field of visual representation learning in a self-supervised manner. While …
revolutionize the field of visual representation learning in a self-supervised manner. While …
A high-resolution canopy height model of the Earth
The worldwide variation in vegetation height is fundamental to the global carbon cycle and
central to the functioning of ecosystems and their biodiversity. Geospatially explicit and …
central to the functioning of ecosystems and their biodiversity. Geospatially explicit and …
A comprehensive survey on tinyml
Recent spectacular progress in computational technologies has led to an unprecedented
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
boom in the field of Artificial Intelligence (AI). AI is now used in a plethora of research areas …
Community monitoring of natural resource systems and the environment
F Danielsen, H Eicken, M Funder… - Annual Review of …, 2022 - annualreviews.org
Community monitoring can track environmental phenomena, resource use, and natural
resource management processes of concern to community members. It can also contribute …
resource management processes of concern to community members. It can also contribute …
Potential for artificial intelligence (AI) and machine learning (ML) applications in biodiversity conservation, managing forests, and related services in India
KN Shivaprakash, N Swami, S Mysorekar, R Arora… - Sustainability, 2022 - mdpi.com
The recent advancement in data science coupled with the revolution in digital and satellite
technology has improved the potential for artificial intelligence (AI) applications in the …
technology has improved the potential for artificial intelligence (AI) applications in the …
Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements
Given the tremendous potential and influence of artificial intelligence (AI) and algorithmic
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
decision‐making (DM), these systems have found wide‐ranging applications across diverse …
SMART-BARN: Scalable multimodal arena for real-time tracking behavior of animals in large numbers
The SMART-BARN (scalable multimodal arena for real-time tracking behavior of animals in
large numbers) achieves fast, robust acquisition of movement, behavior, communication …
large numbers) achieves fast, robust acquisition of movement, behavior, communication …
Empowering sustainability in the built environment: A technological Lens on industry 4.0 Enablers
Abstract According to the World Business Council for Sustainable Development (WBCSD),
the built environment contributes around 10% of global GDP but is also a major source of …
the built environment contributes around 10% of global GDP but is also a major source of …