Advancements in Mental Health Diagnosis: Leveraging Delta Feature Extraction Framework and PWSA Ensemble for Motion Data Analysis

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Data Mining Modelling and Management
Published
2025-06-22
DOI
https://doi.org/10.1504/ijdmmm.2026.10072023
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Advancements in Mental Health Diagnosis: Leveraging Delta Feature Extraction Framework and PWSA Ensemble for Motion Data Analysis

A. Lakshmi Muddana, S. Annapoorani
International Journal of Data Mining Modelling and Management
Anomaly Detection Techniques and Applications
article

Advancements in Mental Health Diagnosis: Leveraging Delta Feature Extraction Framework and PWSA Ensemble for Motion Data Analysis

A. Lakshmi Muddana, S. Annapoorani
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Data Mining Modelling and ManagementVol. 18(3)
Openalex Percentile: Top 93%
Anomaly Detection Techniques and Applications
DOISourceOpenAlex
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Advancements in Mental Health Diagnosis: Leveraging Delta Feature Extraction Framework and PWSA Ensemble for Motion Data Analysis — A. Lakshmi Muddana, S. Annapoorani · International Journal of Data Mining Modelling and Management (2025) | TGRS Research Map | TGRS