Intelligent Decision Technologies,
Journal Year:
2024,
Volume and Issue:
18(4), P. 3405 - 3421
Published: Nov. 1, 2024
With
the
rapid
development
of
global
navigation
satellite
system
(GNSS)
technology,
IGS
signals
play
a
crucial
role
in
many
fields
such
as
positioning,
navigation,
and
time
synchronization.
Nevertheless,
multipath
error
problem
seriously
affects
performance
practical
applications.
In
this
paper,
is
studied
depth,
an
improvement
method
based
on
digital
filtering
technique
proposed.
The
article
first
provides
comprehensive
analysis
impact
identifies
shortcomings
existing
studies,
thus
clarifying
motivation
study.
Subsequently,
paper
uses
techniques
to
estimate
accurately
designs
corresponding
strategy.
Through
experimental
verification,
demonstrates
significant
effect
improved
improving
signal
quality
positioning
accuracy.
Finally,
summarises
research
results.
It
discusses
their
potential
promotion
value
reception
related
applications,
which
important
theoretical
support
guidance
for
future
technology
Discover Internet of Things,
Journal Year:
2024,
Volume and Issue:
4(1)
Published: Oct. 10, 2024
Extensive
scientific
investigation
is
necessary
because
every
government
wants
to
construct
smart
cities.
This
why
examining
how
researchers
approach
this
area
of
study
critical.
investigates
global
research
trends
in
cities
and
the
Internet
Things
(IoT)
by
analyzing
14,309
articles
from
Scopus
database
(2010–2024).
Using
text
mining
latent
semantic
analysis
(LSA)
via
KNIME
tool,
identifies
key
areas
city
development.
The
k-means
clustering
algorithm
predicts
future
directions,
highlighting
most
active
countries,
influential
authors,
significant
sources
field.
results
underscore
need
for
additional
sectors
where
IoT
applications
are
still
their
early
stages.
also
offers
insights
into
fostering
international
collaborations
among
institutions
researchers.
findings
suggest
that
should
focus
on
developing
secure,
scalable
solutions
address
challenges
across
various
industries.
Overall,
provides
a
comprehensive
overview
research,
offering
valuable
guidance
policymakers
aiming
advance
integration
technologies
urban
environments.
Intelligent Decision Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: March 18, 2025
Traditional
high-performance
language
parallel
database
processing
learning
has
limitations
in
optimization
algorithms,
which
is
prone
to
falling
into
local
optimal
problems
and
slow
convergence.
The
pheromone
update
mechanism
of
the
ant
colony
algorithm
lacks
flexibility
difficult
adapt
dynamic
environments.
This
article
improves
efficiency
based
on
improved
algorithm.
evaporation
reinforcement
applied
algorithm,
simulating
decay
pheromones
natural
environment
dynamically
adjusting
concentration
according
path
quality
guide
ants
choose
a
better
path.
To
cope
with
high-concurrency
queries,
scheduling
strategy
task
priority
implemented,
weighted
round-robin
allocate
resources
ensure
that
high-priority
tasks
can
be
processed
timely
manner.
In
addition,
hash-based
range-based
data
partitioning
methods
are
used
optimize
storage
distribution.
Through
application
database,
compared
analyzed
traditional
Under
high
concurrency
pressure
large-data
amount
query
load,
average
response
time
this
about
465.32
ms;
throughput
315.67
times
per
second;
CPU
memory
resource
utilization
rates
64.83%
72.24%.
comparison
results
t-test
p
<
0.05,
shows
there
significant
differences
performance
Dijkstra
genetic
various
indicators.
research
indicate
good
potential
effectively
improve
databases.
Intelligent Decision Technologies,
Journal Year:
2025,
Volume and Issue:
unknown
Published: April 10, 2025
With
the
rapid
development
of
global
navigation
satellite
system
(GNSS)
technology,
IGS
signals
play
a
crucial
role
in
many
fields
such
as
positioning,
navigation,
and
time
synchronization.
Nevertheless,
multipath
error
problem
seriously
affects
performance
practical
applications.
In
this
paper,
is
studied
depth,
an
improvement
method
based
on
digital
filtering
technique
proposed.
The
article
first
provides
comprehensive
analysis
impact
identifies
shortcomings
existing
studies,
thus
clarifying
motivation
study.
Subsequently,
paper
uses
techniques
to
estimate
accurately
designs
corresponding
strategy.
Through
experimental
verification,
demonstrates
significant
effect
improved
improving
signal
quality
positioning
accuracy.
Finally,
summarises
research
results.
It
discusses
their
potential
promotion
value
reception
related
applications,
which
important
theoretical
support
guidance
for
future
technology
IGI Global eBooks,
Journal Year:
2025,
Volume and Issue:
unknown, P. 173 - 198
Published: March 28, 2025
In
today's
digital
world,
software
systems
must
adhere
to
the
Secure
Software
Development
Lifecycle
(SSDLC)
protocol
guarantee
security,
reliability,
and
resilience.
Despite
revolutionary
impact
of
deep
learning,
blockchain,
Artificial
Intelligence
(AI)
on
development,
substantial
challenges
remain
be
solved
in
terms
minimizing
security
risks
conforming
regulatory
standards.
This
(SDLC)
research
integrates
cybersecurity
throughout
process
primarily
focuses
case
studies
best
practices
relating
risk
assessment,
secure
design,
testing.
Data
privacy,
intellectual
property
regulations,
requirements
followed
while
developing
robust
that
can
resist
cyber
assaults
promote
innovation.
Future Internet,
Journal Year:
2025,
Volume and Issue:
17(5), P. 221 - 221
Published: May 15, 2025
The
rapid
expansion
of
network
environments
has
introduced
significant
cybersecurity
challenges,
particularly
in
handling
high-dimensional
traffic
and
detecting
sophisticated
threats.
This
study
presents
a
novel,
scalable
Hybrid
Autoencoder–Extreme
Learning
Machine
(AE–ELM)
framework
for
Intrusion
Detection
Systems
(IDS),
specifically
designed
to
operate
effectively
dynamic,
cloud-supported
IoT
environments.
scientific
novelty
lies
the
integration
an
Autoencoder
deep
feature
compression
with
Extreme
accurate
classification,
enhanced
through
adaptive
thresholding
techniques.
Evaluated
on
CSE-CIC-IDS2018
dataset,
proposed
method
demonstrates
high
detection
accuracy
98.52%,
outperforming
conventional
models
terms
precision,
recall,
scalability.
Additionally,
exhibits
strong
adaptability
emerging
threats
reduced
computational
overhead,
making
it
practical
solution
real-time,
IDS
next-generation
infrastructures.
Advances in educational technologies and instructional design book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 301 - 328
Published: Oct. 11, 2024
In
today's
technological
era,
educators
need
to
safeguard
the
security
and
privacy
of
their
data
by
employing
Computational
Intelligence
(CI).
CI
is
an
aspect
Artificial
(AI)
that
concentrates
on
developing
algorithms
systems
capable
solving
tough
societal
problems.
Several
methodologies
informed
biological
natural
events
used
in
include
Neural
Networks
(ANN),
fuzzy
systems,
evolutionary
computation,
swarm
intelligence.
Therefore,
learn
adapt
over
time,
improving
performance
through
experience
interaction
with
environment.
This
versatility
durability
render
valuable
for
various
applications,
including
analysis,
pattern
identification,
control
decision-making
processes.
Confidentiality
critical
securing
sensitive
information.
uses
sophisticated
computational
techniques
improve
learning
experiences,
instructional
practices,
educational
outcomes.
