Self-Healing Databases for Emergency Response Logistics in Remote and Infrastructure-Poor Settings
Logistics,
Journal Year:
2025,
Volume and Issue:
9(1), P. 23 - 23
Published: Feb. 6, 2025
Background:
Accurate,
real-time
data
about
response
technologies,
capabilities,
and
availabilities
are
key
to
effective
emergency
logistics;
this
is
particularly
important
in
remote
settings,
such
as
the
Arctic,
where
limited
infrastructure,
logistics,
technologies
occasion
need
for
careful
planning
immediate
a
fragile,
pristine,
rapidly
changing
ecosystem.
Despite
persistent
calls
improved
quality,
processing,
analysis
capabilities
support
Arctic
these
issues
have
not
been
addressed
advanced
analytical
methods
available
other
safety-critical
oil
gas
machine
learning,
artificial
intelligence
(AI),
or
emergent,
self-aware,
self-healing
databases,
widely
adopted.
Methods:
This
work
explores
research
gap
by
presenting
learning
algorithm
database
approach,
describing
its
application
logistics
response.
Results:
The
could
be
applied
databases
that
benefit
from
technology
automatically
detects,
diagnoses,
repairs
anomalies
inconsistencies,
with
without
human
intervention.
Conclusions:
results
show
significant
improvements
cleaning
analysis,
data,
planning,
along
future
needs
infrastructure-poor
settings.
Language: Английский
Geographies of creativity/creative geographies
Transactions of the Institute of British Geographers,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 26, 2025
Abstract
This
short
introduces
the
chair's
theme
for
Royal
Geographical
Society
Annual
Conference
2025.
Language: Английский