SKELETON-BASED HUMAN ACTION RECOGNITION USING CNN+SOFTMAX WITH MULTI-DIMENSIONAL CONNECTED WEIGHTS

<p style="margin-left:0cm; margin-right:0cm; text-align:justify"><em>Skeleton-based human activity recognition through closed-circuit television surveillance systems has garnered substantial attention within the artificial intelligence research domain, primarily attributed to the rich feature representation inherent in

Authors

Publication Details

Journal
European Journal of Technical and Natural Sciences
Published
2025-10-18
DOI
https://doi.org/10.29013/ejtns-25-4.5-8-17
Primary Topic
Human Pose and Action Recognition
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

SKELETON-BASED HUMAN ACTION RECOGNITION USING CNN+SOFTMAX WITH MULTI-DIMENSIONAL CONNECTED WEIGHTS

Kabul Khudaybergenov, Avazjon Marakhimov
European Journal of Technical and Natural Sciences
Human Pose and Action Recognition
article

SKELETON-BASED HUMAN ACTION RECOGNITION USING CNN+SOFTMAX WITH MULTI-DIMENSIONAL CONNECTED WEIGHTS

Kabul Khudaybergenov, Avazjon Marakhimov
article en

Abstract

<p style="margin-left:0cm; margin-right:0cm; text-align:justify"><em>Skeleton-based human activity recognition through closed-circuit television surveillance systems has garnered substantial attention within the artificial intelligence research domain, primarily attributed to the rich feature representation inherent in

European Journal of Technical and Natural Sciences
Openalex Percentile: Top 71%
Human Pose and Action Recognition
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

SKELETON-BASED HUMAN ACTION RECOGNITION USING CNN+SOFTMAX WITH MULTI-DIMENSIONAL CONNECTED WEIGHTS — Kabul Khudaybergenov, Avazjon Marakhimov · European Journal of Technical and Natural Sciences (2025) | TGRS Research Map | TGRS