Results 51 to 60 of about 29,025 (248)

From high throughput 454 GS FLX data analysis process of 16S RNA gene sequences using barcoding to bacterial community exploration [PDF]

open access: yes, 2011
From high throughput 454 GS FLX data analysis process of 16S RNA gene sequences using barcoding to bacterial community ...
Cauquil, Laurent   +7 more
core  

The chatbot's real self: On the archaeology of artificial personas Le vrai soi du chatbot: vers une archéologie des personnes artificielles

open access: yesJournal of Linguistic Anthropology, Volume 36, Issue 1, May 2026.
Abstract From the beginning of widespread public interactions with ChatGPT and other large language models, some users have seen the disfluencies of chatbots as opportunities for them to go on an archaeological search for an unfettered chatbot persona that they need to jailbreak. These are not claims of sentience, but rather of personhood.
Courtney Handman
wiley   +1 more source

Beyond metaphors: rethinking metaphors in metaheuristics algorithm design

open access: yesnpj Artificial Intelligence
Although research in metaheuristics has become increasingly automated, considerable effort is still devoted to identifying new sources of inspiration for the manual design of so-called metaphor-based algorithms.
Christian L. Camacho-Villalón   +2 more
doaj   +1 more source

Intelligence artificielle et agents collectifs : le modèle EUROSIM [PDF]

open access: yes, 2005
International audienceEUROSIM is a multi-agent model for simulating the evolution of the European urban system. The agents, the largest cities, are collective entities, whose attributes are size and function within the system of cities.
Sanders, Lena
core   +2 more sources

Artificial Neural Networks for Defining the Operational Parameters of Sand Filters for Irrigation

open access: yesIrrigation and Drainage, Volume 75, Issue 2, Page 518-529, April 2026.
ABSTRACT The difficulty in defining the working configuration during the operation of sand filters arises from the complexity of the relationships among the variables in the filtration and backwashing processes. The objective was to use artificial neural networks to model the pressure loss and removal efficiency of filtration in a commercial sand ...
Mádilo Lages Vieira Passos   +4 more
wiley   +1 more source

The informational content of key audit matters: Evidence from using artificial intelligence in textual analysis

open access: yesContemporary Accounting Research, Volume 42, Issue 4, Page 2392-2423, Winter 2025.
Abstract This study provides empirical evidence that key audit matters (KAMs) are informative for future negative accounting outcomes. We employ FinBERT—a deep learning model designed for natural language processing that allows human‐like text comprehension—to demonstrate that goodwill‐related KAMs are predictive of firms' future impairments.
Stephan Küster   +2 more
wiley   +1 more source

Technofuturist Registers for AI and the Future of Work

open access: yesJournal of Sociolinguistics, Volume 29, Issue 5, Page 319-331, November 2025.
ABSTRACT This article contributes to sociolinguistic scholarship on register formations, digital technology, and labor by analyzing technofuturist registers—historically inherited, typified, and socially shared modes of speaking about technology. These registers create distinct modes of feeling, relating, idealizing, and desiring technology and its ...
Alfonso Del Percio
wiley   +1 more source

DeepForestVision: Automated wildlife identification for camera traps of African tropical forests

open access: yesEcological Solutions and Evidence, Volume 6, Issue 4, October–December 2025.
Chimpanzees (Pan troglodytes) observed on camera trap in Kibale National Park, Uganda. This frame was extracted from a 30 s video classified as chimpanzee by DeepForestVision with a confidence score of 0.99 (©Sebitoli Chimpanzee Project). Abstract Tropical forests are rich in biodiversity but face the rapid loss of their wildlife due to increasing ...
Hugo Magaldi   +17 more
wiley   +1 more source

Temporal and Spatial Data Mining with Second-Order Hidden Models [PDF]

open access: yes, 2005
In the frame of designing a knowledge discovery system, we have developed stochastic models based on high-order hidden Markov models. These models are capable to map sequences of data into a Markov chain in which the transitions between the states depend
Ber, Florence Le, Mari, Jean-Francois
core   +6 more sources

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