Journal of Marine Science and Engineering,
Journal Year:
2025,
Volume and Issue:
13(4), P. 746 - 746
Published: April 8, 2025
Autonomous
vessels
are
becoming
paramount
to
ocean
transportation,
while
they
also
face
complex
risks
in
dynamic
marine
environments.
Machine
learning
plays
a
crucial
role
enhancing
maritime
safety
by
leveraging
its
data
analysis
and
predictive
capabilities.
However,
there
has
been
no
review
grounded
bibliometric
this
field.
To
explore
the
research
evolution
knowledge
frontier
field
of
for
autonomous
shipping,
was
conducted
using
719
publications
from
Web
Science
database,
covering
period
2000
up
May
2024.
This
study
utilized
VOSviewer,
alongside
traditional
literature
methods,
construct
network
map
perform
cluster
analysis,
thereby
identifying
hotspots,
trends,
emerging
frontiers.
The
findings
reveal
robust
cooperative
among
journals,
researchers,
institutions,
countries
or
regions,
underscoring
interdisciplinary
nature
domain.
Through
review,
we
found
that
machine
methods
evolving
toward
systematic
comprehensive
direction,
integration
with
AI
human
interaction
may
be
next
bellwether.
Future
will
concentrate
on
three
main
areas:
objectives
towards
proactive
management
coordination,
developing
advanced
technologies,
such
as
bio-inspired
sensors,
quantum
learning,
self-healing
systems,
decision-making
algorithms
generative
adversarial
networks
(GANs),
hierarchical
reinforcement
(HRL),
federated
learning.
By
visualizing
collaborative
networks,
analyzing
evolutionary
lays
groundwork
pioneering
advancements
sets
visionary
angle
future
shipping.
Moreover,
it
facilitates
partnerships
between
industry
academia,
making
concerted
efforts
domain
USVs.
Deleted Journal,
Journal Year:
2024,
Volume and Issue:
1(1)
Published: Oct. 23, 2024
Intercontinental
transportation
relies
heavily
on
medium-to-large
cargo
vessels,
constituting
an
essential
component
of
the
global
trade.
Thus,
it
is
paramount
importance
for
trading
companies,
engineers,
designers
to
advance
innovative,
economically
viable
logistical
and
structural
schemes,
that
are
safe
reliable.
Full-scale
onboard
recorded
data,
when
available,
serves
as
valuable
diagnostic
tool
hard
overestimate.
An
operating
medium-size
ship
TEU2800
had
been
selected
current
investigation.
hull
dynamics
by
excessive
deck
panel
strains,
occurring
during
ship's
intercontinental
sailings
through
potentially
adverse
weather
conditions.
Inherent
risks
damaging
vessel
losing
containers,
caused
motions/loads,
being
one
primary
concerns
industry.
Primary
novelty
this
investigation
twofold:
first,
a
unique
measured
representative
dataset
analyzed;
second,
novel
multimodal
reliability
methodology
employed
analyzed
raw
data.
Presented
study
advocates
state-of-the-art
Gaidai
spatiotemporal
assessment
methodology,
enabling
conservative
hazard/damage/failure
risk
forecasting
nonstationary,
nonlinear,
dynamics,
under
accumulated
fatigue
damage.
Note
advocated
evaluation
generic
nature
may
be
straightforwardly
applied
wide
range
contemporary
complex
naval,
offshore,
marine
systems,
hence
not
limited
vessels
only.
Safety Science,
Journal Year:
2023,
Volume and Issue:
169, P. 106329 - 106329
Published: Sept. 30, 2023
Ongoing
trends
in
society
point
towards
the
adoption
of
intelligent
agents
across
safety
critical
industries.
In
maritime
domain,
artificially
may
soon
be
capable
autonomously
performing
collision
and
grounding
avoidance
(CAGA);
a
task
traditionally
performed
by
humans.
Consequently,
role
humans
is
anticipated
to
change
from
those
supervising
an
agent
avoidance.
One
key
concerns
with
regards
human
factors
avoiding
out-of-the-loop
performance
problem
where
lose
situation
awareness
(SA)
become
susceptible
misinterpreting
agent's
decisions
planned
actions.
Despite
previous
research
addressing
autonomous
shipping
remote
control,
few
studies
have
focused
on
how
support
humans'
mental
processes
this
new
role.
Therefore,
study
goal-directed
analysis
goals,
decisions,
SA
requirements
for
human-supervised
Data
was
obtained
situ
observations
interviews
nine
navigators
onboard
passenger
ferries,
appraisal
regulations,
relevant
company
documentation.
The
identified
specific
make
agents,
avoidance,
transparent
their
users.
results
further
indicate
increased
cognitive
activities
required
verify
performance.
providing
insight
into
agents'
internal
reasoning
actions
becomes
consideration
supporting
future
supervisors.
Given
application
behaviour,
anticipates
that
transparency
essential
prerequisite
safe
effective
human-autonomy
system
oversight.
Stats,
Journal Year:
2025,
Volume and Issue:
8(1), P. 11 - 11
Published: Jan. 24, 2025
Reliability
allocation
is
the
process
of
assigning
reliability
targets
to
sub-systems
within
a
system
meet
overall
requirements.
However,
many
traditional
methods
rely
on
assumptions
that
are
often
unrealistic,
leading
misleading,
unachievable,
and
costly
outcomes.
This
paper
provides
historical
review
methods,
focusing
Weighing
Factor
Method
(WFM),
with
detailed
analysis
its
main
findings,
assumptions,
limitations.
Additionally,
covers
for
optimization,
redundancy
multi-state
highlighting
their
strengths
shortcomings.
A
case
study
presented
demonstrate
how
assumption
an
exponential
distribution
impacts
process,
showing
limitations
it
imposes
practical
implementations.
Furthermore,
bibliometric
conducted
assess
publication
trends
in
field
allocation.
Through
examples,
particularly
context
electronic
systems
using
commercial
off-the-shelf
(COTS)
components,
challenges
discussed,
recommendations
alternative
approaches
improve
provided.
Journal of Marine Engineering & Technology,
Journal Year:
2025,
Volume and Issue:
unknown, P. 1 - 17
Published: Jan. 31, 2025
thorough
reformation
in
multiple
domains,
one
of
which
is
ship
navigation
and
operation.
Significant
efforts
have
recently
been
targeted
towards
the
research
development
