Journal of Marine Science and Engineering,
Journal Year:
2024,
Volume and Issue:
12(10), P. 1816 - 1816
Published: Oct. 11, 2024
Assessment
of
ship
performance
under
in-service
conditions
is
challenging
due
to
the
complex
effects
many
environmental
disturbances.
ISO
15016
and
19030
standards
are
commonly
used
evaluate
operating
performance.
However,
requires
numerous
variables,
a
calculation
formula,
considerable
time
cost,
only
evaluates
reduction
speed
caused
by
wind
neglects
effect
waves.
To
improve
both
achieve
more
accurate
assessment,
this
study
proposes
new
prediction
model,
multi-input
single-output
(MISO)
system,
which
assumes
that
each
has
specific
frequency
characteristics
according
type
size.
Based
on
navigation
data
collected
from
176k
DWT
bulk
carrier,
amount
5.7
million
points,
analyzed
assess
vessel
subject
The
proposed
model
was
validated
comparing
its
results
with
specifically
assessing
speed–power
curves
measured
in
operational
influence
disturbances
removed.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(8), P. 4556 - 4556
Published: April 21, 2025
This
study
presents
how
integrating
natural
language
processing
(NLP)
and
machine
learning
(ML)
optimizes
strategic
management
in
the
port
sector.
Using
hybrid
NLP-ML
models,
accuracy
of
classification
prediction
information
is
significantly
improved
by
analyzing
large
sets
textual
data,
both
unstructured
semi-structured.
The
methodological
approach
developed
three
phases:
first,
a
analysis
systems
performed
using
NLP;
then,
ML
integrated
with
NLP
for
text
advanced
tools
such
as
BERT
Word2Vec;
finally,
including
Decision
Trees
Recurrent
Neural
Networks
are
evaluated.
Applied
to
55
companies
countries,
this
method
extracts
key
data
mission,
vision,
values
corporate
objectives
from
their
websites
obtain
terms
related
innovation
sustainability.
improves
ability
interpret
enabling
more
informed
agile
decision-making,
which
essential
highly
competitive
dynamic
environment.
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 225 - 256
Published: April 18, 2025
The
integration
of
Internet
Things
(IoT)
technologies
and
big
data
analytics
offers
transformative
potential
for
the
maritime
industry
by
enhancing
safety,
sustainability,
efficiency.
This
research
explores
IoT-enabled
systems
platforms
to
address
challenges
like
navigational
environmental
compliance,
resource
optimization.
IoT
devices
provide
real-time
predictive
maintenance,
while
processes
vast
datasets
uncover
actionable
insights.
study
highlights
sustainability
through
fuel
optimization,
emission
monitoring,
reduced
impact.
Challenges,
including
privacy
cybersecurity,
are
examined
alongside
strategies
secure
implementation.
Case
studies
in
shipping
port
management
showcase
successful
applications,
offering
a
framework
leveraging
these
advance
innovation
operations.
Business Strategy and the Environment,
Journal Year:
2024,
Volume and Issue:
unknown
Published: June 12, 2024
Abstract
Sustainable
development
is
crucial
to
ports
due
the
interconnection
between
port
activities,
economy,
and
environment.
This
study
aims
explore
how
digitalization
initiatives
played
role
of
promoting
sustainable
development.
To
this
purpose,
author/authors
adopted
a
mixed
methods
approach
using
as
database
World
Ports
Sustainability
Program,
which
features
74
initiatives.
The
first
step
focused
on
quantitative
analysis
distribution
said
in
terms
goals,
followed
by
thematic
their
contribution.
findings
indicate
that
more
than
72%
addressed
goals
8,
9,
13,
17.
Digitalization
have
mainly
improving
infrastructure
operational
performance,
enabling
them
address
climate
change
challenges.
work
also
recognized
partnerships
can
play
achieving
goal.
Water,
Journal Year:
2024,
Volume and Issue:
16(11), P. 1544 - 1544
Published: May 27, 2024
This
study
investigates
the
prioritization
and
resource
allocation
strategies
adopted
by
coastal
local
governments
of
Qingdao,
Dalian,
Xiamen
in
context
marine
regulatory
reform
aimed
at
enhancing
efficiency.
Data
on
relevant
opinions,
departmental
requirements,
existing
allocations
were
collected
through
a
questionnaire
survey.
A
backpropagation
(BP)
neural
network
was
then
applied
to
analyze
survey
data,
prioritize
tasks,
propose
schemes.
The
findings
demonstrate
that
integrating
machine
learning
into
regulation
can
significantly
improve
utilization
efficiency,
optimize
task
execution
sequences,
enhance
scientific
refined
nature
work.
BP
model
exhibited
strong
predictive
capabilities
training
set
demonstrated
good
generalization
abilities
test
set.
performance
varied
slightly
across
different
management
levels.
For
level,
accuracy,
precision,
recall
rates
85%,
88%,
82%,
respectively.
supervisory
these
metrics
81%,
83%,
78%,
At
employee
79%,
76%,
These
results
indicate
provide
differentiated
recommendations
based
needs
Additionally,
model’s
assessed
employees’
years
experience.
employees
with
0–5
experience,
84%,
those
5–10
86%,
80%,
over
10
data
further
confirm
applicability
effectiveness
experience
groups.
Thus,
adoption
technologies
for
optimizing
resources
holds
significant
practical
value,
aiding
enhancement
capacity
within
governments.
Journal of Shipping and Trade,
Journal Year:
2024,
Volume and Issue:
9(1)
Published: May 20, 2024
Abstract
The
technology
of
the
Internet
Things
(IoT)
represents
a
cornerstone
fourth
industrial
revolution.
We
adopt
machine
learning
approach
to
examine
effect
IoT
on
shipping
business
operations.
Text
mining
and
probabilistic
latent
Dirichlet
allocation
are
applied
for
an
unsupervised
topic
modelling
analysis
two
hundred
twenty-eight
academic
papers.
Our
findings
reveal
potential
provide
more
efficient
approaches
operations
improve
quality
services,
highlighting
value
instant
secure
information
flow
among
all
parties
involved.
Problematic
areas
new
also
identified,
in
reference
issues
standardization
interoperability.
Relatively
few
studies
have
used
techniques
elicit
insights
into
holistic
emerging
industry.
research
highlight
transform
operations,
offering
useful
practical
implications
academics
professionals.
International Journal of Advanced Computer Science and Applications,
Journal Year:
2024,
Volume and Issue:
15(6)
Published: Jan. 1, 2024
Maritime
industry
plays
an
important
role
in
the
transport
of
various
goods
and
passengers;
it
is
major
contributor
to
global
trade.
With
advent
new
communication
technologies,
advances
Artificial
Intelligence,
ubiquitous
Internet
Things,
maritime
evolving
day
by
day.
Effective
a
key
ensuring
smooth
operation
activities.
However,
researchers
this
domain
need
understand
analyze
research
trends
that
can
offer
insights.
In
view,
paper
provides
clear
understanding
scientific
landscape
based
on
data
available
Scopus
database.
largest
abstract
citation
database
from
Elsevier
which
comprehensive
detail
about
literature
subject
fields.
This
considers
last
10
years
data,
i.e.
2013
2023
for
analysis.
A
total
505
publications
were
obtained
These
include
document
types
such
as
articles,
conference
papers,
reviews,
etc.
The
analysis
carried
out
perspectives
including
year,
country,
area,
funding
sponsor,
type,
affiliation,
author,
source.
Further,
mutual
relations,
collaborations
between
different
countries,
co-occurrence
keywords,
bibliographic
coupling
among
diverse
sources
are
also
analyzed.
view
serves
willing
work
area
other
stakeholders
domain.
