A novel deep learning model for stock market prediction using a sentiment analysis system from authoritative financial website’s data
Connection Science,
Год журнала:
2025,
Номер
37(1)
Опубликована: Янв. 24, 2025
Язык: Английский
Mitigating Financial Anomalies Dimensions Vulnerability and Stratagem in Service Organizations
Advances in public policy and administration (APPA) book series,
Год журнала:
2025,
Номер
unknown, С. 361 - 388
Опубликована: Янв. 24, 2025
The
chapter
examines
the
intricate
landscape
of
financial
fraud
within
public
administration,
emphasising
vulnerabilities
that
service
organisations
face
in
an
increasingly
complex
environment.
It
delineates
concepts
vulnerability
and
stratagem,
elucidating
how
determinants
such
as
opportunity,
pressure,
rationalisation
contribute
to
susceptibility.
offers
a
comprehensive
exploration
effective
detection
prevention
strategies,
highlighting
importance
robust
policy
frameworks
ethical
standards.
By
integrating
assessments
into
operational
practices
developing
strategic
responses,
administrators
fortify
their
against
fraudulent
activities.
Through
illustrative
case
studies
practical
applications,
underscores
critical
need
for
transparency
accountability
advocates
continuous
improvement
collaboration
among
stakeholders.
Язык: Английский
Efficient Numerical Techniques for Investigating Chaotic Behavior in the Fractional-Order Inverted Rössler System
Symmetry,
Год журнала:
2025,
Номер
17(3), С. 451 - 451
Опубликована: Март 18, 2025
In
this
study,
the
numerical
scheme
for
Caputo
fractional
derivative
(NCFD)
method
and
He–Laplace
(H-LM)
are
two
powerful
methods
used
analyzing
fractional-order
systems.
These
approaches
in
study
of
complex
dynamics
inverted
Rössler
system,
particularly
detection
chaotic
behavior.
The
enhanced
NCFD
is
reliable
accurate
simulations
by
capturing
intricate
Further,
analytical
solutions
obtained
using
H-LM
system.
This
popular
due
to
its
simplicity,
stability,
ability
handle
most
initial
values,
yielding
very
results.
Combining
insights
from
with
robust
accuracy
approach
yields
a
comprehensive
understanding
system’s
dynamics.
advantages
include
high
capture
offers
simplicity
stability.
proposed
prove
be
capable
detecting
attractors,
estimating
their
behavior
correctly,
finding
solutions.
findings
confirm
that
NCFD-
H-LM-based
promising
modeling
solution
Since
these
results
provide
improved
broad
class
models,
they
will
thus
greatest
use
forthcoming
applications
engineering
science.
Язык: Английский
Effectiveness of WeChat Official Accounts in health communication: A comparative study of hospitals and centers for disease control and prevention on resident participation in Shenzhen
Digital Health,
Год журнала:
2025,
Номер
11
Опубликована: Март 1, 2025
As
China
transitions
from
a
disease-centered
to
people-centered
healthcare
model,
hospitals
are
increasingly
involved
in
health
education.
This
study
compares
the
effectiveness
of
WeChat
Official
Accounts
(WOAs)
operated
by
and
Centers
for
Disease
Control
Prevention
(CDCs)
engaging
residents
identifies
strategies
enhance
dissemination
impact
hospital
WOAs
digital
communication.
observational
utilized
WcplusPro
collect
education-related
articles
posted
between
July
2023
June
2024
district-level
CDCs
eight
administrative
districts
Shenzhen,
China,
excluding
affairs-related
content.
The
effects
different
posting
organizations
on
article
reading
sharing
were
compared
using
chi-square
tests
multivariable
logistic
regression
R.
A
total
2270
health-related
selected
analysis.
CDC
accounted
59.34%
(n
=
1347)
posts,
while
40.66%
923).
Articles
showed
significant
positive
association
with
high
levels
(OR
14.69,
95%
CI
9.96-22.25).
For
levels,
3.56,
2.71-4.72).
more
likely
achieve
higher
resident
engagement
(p
<
0.05)
if
they
published
accounts
larger
follower
bases
59.01),
featured
interrogative
titles
22.19),
avoided
threatening
tones
4.98-15.44),
or
highlighted
as
headlines
25.03).
Hospital
demonstrate
promoting
participation
Hospitals
should
link
services
daily
life
use
emotionally
resonant
narratives.
They
expand
followings,
refine
headlines,
position.
Encouraging
professionals
education
can
boost
participation.
Язык: Английский
Physical layer security techniques for grant-free massive Machine-Type Communications in 5G and beyond: A survey, challenges, and future directions
Computer Networks,
Год журнала:
2025,
Номер
unknown, С. 111268 - 111268
Опубликована: Апрель 1, 2025
Язык: Английский
Securing the CAN bus using deep learning for intrusion detection in vehicles
Scientific Reports,
Год журнала:
2025,
Номер
15(1)
Опубликована: Апрель 22, 2025
The
Controller
Area
Network
(CAN)
bus
protocol
is
the
essential
communication
backbone
in
vehicles
within
Intelligent
Transportation
System
(ITS),
enabling
interaction
between
electronic
control
units
(ECUs).
However,
CAN
messages
lack
authentication
and
security,
making
system
vulnerable
to
attacks
such
as
DoS,
fuzzing,
impersonation,
spoofing.
This
paper
evaluates
deep
learning
methods
detect
intrusions
network.
Using
Car
Hacking,
Survival
Analysis,
OTIDS
datasets,
we
train
test
models
identify
automotive
cyber
threats.
We
explore
recurrent
neural
network
(RNN)
variants,
including
LSTM,
GRU,
VGG-16,
analyze
temporal
spatial
features
data.
LSTMs
GRUs
handle
long-term
dependencies
sequential
data,
them
suitable
for
analyzing
messages.
Bi-LSTMs
enhance
this
by
processing
sequences
both
directions,
from
past
future
contexts
improve
anomaly
detection.
Our
results
show
that
LSTM
achieves
99.89%
accuracy
binary
classification,
while
VGG-16
reaches
100%
multiclass
classification.
These
findings
demonstrate
potential
of
techniques
improving
security
resilience
ITS
effectively
detecting
mitigating
attacks.
Язык: Английский
AI-Driven Decision-Making in Healthcare Information Systems: A Comprehensive Review
Journal of Systems and Software,
Год журнала:
2025,
Номер
unknown, С. 112470 - 112470
Опубликована: Апрель 1, 2025
Язык: Английский
Machine-Learning-Powered Information Systems: A Systematic Literature Review for Developing Multi-Objective Healthcare Management
Applied Sciences,
Год журнала:
2024,
Номер
15(1), С. 296 - 296
Опубликована: Дек. 31, 2024
The
incorporation
of
machine
learning
(ML)
into
healthcare
information
systems
(IS)
has
transformed
multi-objective
management
by
improving
patient
monitoring,
diagnostic
accuracy,
and
treatment
optimization.
Notwithstanding
its
revolutionizing
capacity,
the
area
lacks
a
systematic
understanding
how
these
models
are
divided
analyzed,
leaving
gaps
in
normalization
benchmarking.
present
research
usually
overlooks
holistic
for
comparing
ML-enabled
ISs,
significantly
considering
pivotal
function
criteria
like
precision,
sensitivity,
specificity.
To
address
gaps,
we
conducted
broad
exploration
306
state-of-the-art
papers
to
novel
taxonomy
IS
management.
We
categorized
studies
six
key
areas,
namely
systems,
treatment-planning
monitoring
resource
allocation
preventive
hybrid
systems.
Each
category
was
analyzed
depending
on
significant
variables,
uncovering
that
adaptability
is
most
effective
parameter
throughout
all
models.
In
addition,
majority
were
published
2022
2023,
with
MDPI
as
leading
publisher
Python
prevalent
programming
language.
This
extensive
synthesis
not
only
bridges
but
also
proposes
actionable
insights
ML-powered
Язык: Английский
Digital Transformation Across Generations
Advances in human and social aspects of technology book series,
Год журнала:
2024,
Номер
unknown, С. 23 - 40
Опубликована: Ноя. 29, 2024
The
integration
of
robotics
and
artificial
intelligence
(AI)
is
transforming
industries,
enhancing
efficiency,
safety,
productivity.
This
chapter
explores
the
impact
autonomous
systems
across
various
sectors,
including
manufacturing,
healthcare,
transportation,
agriculture.
convergence
AI
enables
adaptive
to
perform
complex
tasks
independently,
driving
innovation
reshaping
business
operations.
Machine
learning,
computer
vision,
sensor
fusion
empower
robots
learn
from
data,
recognize
patterns,
interact
with
humans.
Successful
applications
include
self-driving
cars,
robotic-assisted
surgery,
precision
farming,
smart
home
devices.
However,
challenges
persist,
such
as
reliability,
ethics,
data
privacy,
complexity
implementation.
As
continue
evolve,
they
will
drive
sustainable
practices,
optimize
resource
use,
encourage
interdisciplinary
collaboration.
Future
research
should
focus
on
developing
robust
algorithms,
safety
protocols,
establishing
ethical
guidelines.
Язык: Английский