Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
Early Detection Of Brain Rot Via Social Media Usage Patterns Using Machine Learning Algorithms
Early Detection Of Brain Rot Via Social Media Usage Patterns Using Machine Learning Algorithms
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Kolhapure, Gayatri
,
Gurav, Shradha
,
Kulkarni, Madhuri
,
Jadhav, Samruddhi
Format:
Recurso digital
Published:
Zenodo
2026
Subjects:
Brain Rot Index (BRI)
Short-Form Video Addiction
Social Media Usage Analysis
Attention Monitoring
Machine Learning in Mental Health
Digital Media Consumption
Dopamine-Driven Content
Cognitive Fatigue Detection
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.18204491
Similar Items
Fto gene: historic background and its relationship with chronic-degenerative diseases
by: Maritza Torres
Published: (2018)
EFFECT OF CREATINE SUPPLEMENTATION ON BRAIN NEUROTRANSMITTERS AFTER AN EXHAUSTIVE AEROBIC EXERCISE
by: Mehrzad Moghadasi
Published: (2012)
Astaxanthin Mitigates ADHD Symptoms in Spontaneously Hypertensive Rats via Dopaminergic Modulation and Brain-Gut Axis Regulation.
by: Leng, Yueyang, et al.
Published: (2025)
Indian News Media Versus the Belt and Road Initiative: A Corpus-Based Critical Discourse Analysis
by: Sahibzada Muhammad Usman
Published: (2025)
Attention Architecture Core Manifesto v1.0: Physical Anchors, Spatial Memory Systems, and the Infrastructure of Future Human Attention
by: Pavlova, Elena
Published: (2026)