Obstacle Detection and Warning System for Visually Impaired Using IoT Sensors

Ikram, Sunnia; Bajwa, Imran Sarwar; Ikram, Amna; Díez, Isabel de la Torre; Ríos, Carlos; Castilla, Ángel Kuc

doi:10.1109/access.2025.3543299

Cited by 2 publications

(1 citation statement)

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“…In machine learning yield prediction layer evaluates predictions from ensemble learning models, specifically RF, CatBoost and ELM. These models process the original input features independently to generate yield predictions ( Hussain et al., 2024 ; Ikram et al., 2025 ). For optimal output, the ensemble outputs are compared with predictions from the FIS.…”

Section: Methodsmentioning

confidence: 99%

A fuzzy-optimized hybrid ensemble model for yield prediction in maize-soybean intercropping system

Ikram

El-kenawy

et al. 2025

Front. Plant Sci.

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Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.

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Section: Methodsmentioning

confidence: 99%