Results 141 to 150 of about 120,264 (352)
With the rapid advancement of artificial intelligence, questions are increasingly being raised by stakeholders regarding how such technologies can enhance the environmental, social, and governance outcomes of organizations.
Deepali Vora +6 more
doaj +1 more source
Mapping molluscan endocrinology: a systematic and critical appraisal
ABSTRACT Historically, a vertebrate‐centric paradigm has framed our interpretation of molluscan endocrinology, with considerable research focusing on vertebrate‐type steroid hormones (e.g. oestrogens, testosterone). However, contradictory evidence on the occurrence of vertebrate‐type steroid hormones in molluscan tissues, and a lack of the specific ...
Konstantinos Panagiotidis +3 more
wiley +1 more source
A multi-task model for failure identification and GPS assessment in metro trains
Air and oil leaks are two of the predominant operational failures in metro trains, which can cause severe issues and a lot of downtime. Predictive maintenance on such machinery can be of great use. This work aimed to develop a deep learning algorithm for
Pratik Vinayak Jadhav +6 more
doaj +1 more source
Modern Machine and Deep Learning Systems as a way to achieve Man-Computer Symbiosis [PDF]
Chirag Gupta
openalex +1 more source
ABSTRACT Effective knowledge of ecological connectivity at sea and at the land–sea interface is key to supporting global policy goals to conserve and restore ocean biodiversity and function. However, a persistent lack of commonality in terminology and understanding around the concept of connectivity in marine ecological studies hampers its integration ...
Audrey M. Darnaude +20 more
wiley +1 more source
The spread of non‐native species
ABSTRACT The global redistribution of species through human agency is one of the defining ecological signatures of the Anthropocene, with biological invasions reshaping biodiversity patterns, ecosystem processes and services, and species interactions globally.
Phillip J. Haubrock +16 more
wiley +1 more source
A hybrid hash framework for post quantum secure zero knowledge identification
The advent of quantum computing poses substantial risks to conventional cryptographic mechanisms, particularly hash-based authentication and zero-knowledge identification (ZKI) protocols, which are susceptible to quantum algorithms such as Grover’s and ...
Samarth Bhadane +3 more
doaj +1 more source

