ISSN 2996-8380
Vol. Scholarly Debut, Issue Spring 2026, 2026March 30, 2026 CEST
Voice-Controlled Vehicle: Determining the Best Machine Learning Models for Voice Recognition
Voice-Controlled Vehicle: Determining the Best Machine Learning Models for Voice Recognition
Machine LearningVoice RecognitionAssistive TechnologyAudioDataVisually ImpairedDisabilitiesCommand Recognition
Articles in Vol. Scholarly Debut, Issue Spring 2026, 2026
Vol. Scholarly Debut, Issue Spring 2026, 2026
- Advancing Suicide-Risk Detection in Post-COVID Hospital Systems: A Three-Layer Model for Unified Screening, Training, and Follow-UpLidya Gondere
- Fantasy Urbanism: Theme Parks as Blueprints for Better CitiesIrene Yitan Xue
- Voice-Controlled Vehicle: Determining the Best Machine Learning Models for Voice RecognitionDhruv Panchagatti
- Multiple Paths to Healing: A Narrative Review of Hippocratic, Traditional Chinese, Ayurvedic, and Modern Western Medical TraditionsElaina Huang
- The Greenest Air Filters: Impact of Urban Green Spaces on Air QualityDanny Xu
- A Machine Learning Method for Classifying Variable StarsShreenidhi AnandSahasra Lugudu
- Localized Chemotherapy with Carmustine (BCNU) Wafers in High-Grade Gliomas: Clinical Outcomes and Safety ReviewDavid Hu
Panchagatti, Dhruv. 2026. “Voice-Controlled Vehicle: Determining the Best Machine Learning Models for Voice Recognition.” Scholarly Review Journal Scholarly Debut (Spring 2026). https://doi.org/10.70121/001c.158298.