Results 81 to 90 of about 7,266 (299)
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
The application of the theory of textual coherence in the poem "Khwater al-Ghrub" by Ebrahim Naji [PDF]
Introduction: Language, as one of the most important means of communicating and transmitting thoughts and feelings, has always been the focus of scientists and linguists.
abdolvahid navidi
doaj +1 more source
A Language‐Guided Multimodal Foundation Model for Zero‐Shot and Multi‐Task Brain Signal Analysis
METIS aligns brain signals with natural‐language instructions to enable zero‐shot and multi‐task brain signal analysis. Pretrained on over 70 000 h of EEG and iEEG recordings, it generalizes across sleep stage classification, epilepsy detection, and neurological disorder diagnosis, providing a scalable foundation model for clinically meaningful brain ...
Mingzhi Chen +3 more
wiley +1 more source
Information Extraction from Multi-Domain Scientific Documents: Methods and Insights
The rapid growth of scientific literature necessitates effective information extraction. However, existing methods face significant challenges, particularly when applied to multi-domain documents and low-resource languages.
Tatiana Batura +5 more
doaj +1 more source
Kinship in Speech: Leveraging Linguistic Relatedness for Zero-Shot TTS in Indian Languages
Text-to-speech (TTS) systems typically require high-quality studio data and accurate transcriptions for training. India has 1369 languages, with 22 official using 13 scripts. Training a TTS system for all these languages, most of which have no digital resources, seems a Herculean task. Our work focuses on zero-shot synthesis, particularly for languages
Utkarsh Pathak +4 more
openaire +2 more sources
Vernacular Futurism: How Persian Language Users Imagine AI
ABSTRACT Public discourse about artificial intelligence increasingly unfolds through compressed forecasts, moral warnings, and everyday speculation circulating at platform speed. This study examines how Persian language users on X construct and contest AI futures, analyzing a corpus of 4741 posts collected between January 2023 and December 2025, with ...
Arthur Asa Berger, Ehsan Shahghasemi
wiley +1 more source
Examining the Stimulus Cross-Splicing Method on Auditory Experiments in Turkish
To explain how the language system in the brain is temporally processed, the results of both brain and linguistics researches are required to be interpreted together.
İpek Pınar Bekar
doaj +1 more source
ABSTRACT Maintaining an effective balance between exploration and exploitation is essential during optimization processes, from mathematical functions to more complex problems such as constrained engineering design optimization, particularly when addressing highly nonlinear issues with numerous local optima and strict feasibility requirements.
Enrique Lizárraga +3 more
wiley +1 more source
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever [PDF]
We propose a simple method that applies a large language model (LLM) to large-scale retrieval in zero-shot scenarios. Our method, the Large language model as Retriever (LameR), is built upon no other neural models but an LLM in a retrieval-augmented ...
Long, G +7 more
core
Lost in aggregation? On the importance of local food price data for food poverty estimates
Abstract This paper explores within‐country variations in food price dynamics and food poverty estimates by employing local market price data and national consumer price index (CPI) data. Our results show that national CPI data may be useful for approximating national trends but they fail to detect and identify spatial variations in local trends, which
Stephan Dietrich +4 more
wiley +1 more source

