Enhancement of Conflict Detection Rates by a Gaussian Model with Survival Analysis

Authors

Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-09-23
Primary Topic
Gaussian Processes and Bayesian Inference
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancement of Conflict Detection Rates by a Gaussian Model with Survival Analysis

Takayuki Kawabuchi, Zarir Hafiz Zulkipli, Ryota Mimura
SPIRE - Sciences Po Institutional REpository
Gaussian Processes and Bayesian Inference
article

Enhancement of Conflict Detection Rates by a Gaussian Model with Survival Analysis

Takayuki Kawabuchi, Zarir Hafiz Zulkipli, Ryota Mimura
article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
Reduced inequalities
Openalex Percentile: Top 18%
Gaussian Processes and Bayesian Inference
Open 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.

Enhancement of Conflict Detection Rates by a Gaussian Model with Survival Analysis — Takayuki Kawabuchi, Zarir Hafiz Zulkipli, et al. · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS