A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

The future of trading belongs to ecosystems where algorithms and informed human decision making work together in disciplined ...

Abstract: Currently, existing garbage image classification models predominantly operate on low-end devices and encounter significant challenges, including limitations in computing resources, storage ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: The increasing use of unmanned aerial vehicles (UAVs) highlights the need for robust classification systems. This study explores the impact of noise on UAV classification accuracy using ...

Ashutosh Agarwal is a specialist who connects analytics with practical strategy, who stands out in the era of digital ...

Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

[EMNLP 2025 Demo] PDF scientific paper translation with preserved formats - 基于 AI 完整保留排版的 PDF 文档全文双语翻译，支持 Google/DeepL/Ollama ...