2021 18th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP),
Год журнала:
2023,
Номер
unknown, С. 1 - 5
Опубликована: Дек. 15, 2023
Machine
and
deep
learning
techniques
are
now
essential
for
many
different
kinds
of
solutions
in
areas,
applications,
businesses.
Analyzing
e-commerce
reviews
using
machine
can
motivate
a
company
to
make
more
wise
decisions
regarding
the
quality
services
it
offers.
But
issues
occur
if
there
is
insufficient
high-quality
data
training,
scalability,
upkeep
models.
To
address
these
important
issues,
we
suggest
data-centric
architecture
that
makes
use
blockchain
Interplanetary
File
System
(IPFS)-based
storage.
Our
provides
secure
cost-effective
storage
an
incentive
mechanism.
experiment
shows
as
dataset
gets
bigger,
Naïve
Bayes
(NB)
Support
Vector
(SVM)
models
get
2%
accurate,
Convolutional
Neural
Network
(CNN)
model
4%
Long
Short-Term
Memory
(LSTM)
3
%
accurate.
The
exhibited
higher
accuracy
rates
than
because
hidden
layers
possess
ability
extract
intricate
syntactic
features
from
review
text.
Corporate and Business Strategy Review,
Год журнала:
2024,
Номер
5(1, special Issue), С. 336 - 345
Опубликована: Янв. 1, 2024
Various
studies
have
been
conducted
to
measure
the
level
of
service
provided
by
an
institution
or
service,
including
hospitals,
in
order
determine
customer
satisfaction.
The
purpose
this
research
is
assess
role
quality
services
offered
a
hospital
predicting
This
study
was
at
Bunda
Purwokerto
Hospital.
participants
consisted
380
samples.
Hypothesis
testing
using
Smart
PLS
method
yielded
R-square
value
0.413
for
satisfaction
variable.
results
H1
revealed
favourable
influence
on
outpatient
patients
original
sample
produced
coefficient
0.130,
t
statistic
2.163
(>
1.96),
and
p-value
0.031
(<
0.05).
relationship
between
trust
job
performance
deemed
positive
significant,
as
evidenced
t-statistic
exceeding
1.96.
confirms
that
improvement
healthcare
shapes
patient
loyalty.
Aspects
encompassing
quality,
such
physical
environment,
customer-oriented
atmosphere,
responsiveness,
effective
communication,
privacy
maintenance,
safety,
demonstrate
correlation
with
loyalty
towards
hospital’s
image.
Connection Science,
Год журнала:
2024,
Номер
36(1)
Опубликована: Июль 18, 2024
Ensuring
the
confidentiality
of
transmitting
sensitive
image
data
is
paramount.
Cryptography
recreates
a
critical
function
in
safeguarding
information
from
potential
risks
and
confirming
identity
authorised
individuals,
thereby
addressing
growing
demand
for
enhanced
security.
This
paper
presents
novel
AES-permuted
Feistel
Blowfish
(APFB)
model
that
aims
to
improve
security
cost-effectively
enhance
protection
by
incorporating
AES
algorithms.
The
proposed
model's
utility
over
existing
approaches
stems
its
computational
efficiency
speed.
resilience
against
several
attack
modalities
are
validated
through
comprehensive
range
methods,
including
extensive
experimentation,
histogram
analysis,
PSNR,
entropy,
MSE,
CC,
time,
NIST
statistical
tests.
outcomes
yielded
PSNR
67.26,
NPCR
99.6354,
UACI
33.412.
Additionally,
applicability
utilising
practical
case
analysis.
exhibit
relevance
real-world
applications.
Advances in computational intelligence and robotics book series,
Год журнала:
2025,
Номер
unknown, С. 1 - 22
Опубликована: Апрель 25, 2025
This
study
examines
the
intricate
relationship
between
perceived
usefulness
of
AI-powered
robotics
and
customer
satisfaction,
employing
a
robust
methodological
framework
to
unravel
multifaceted
dynamics
underpinning
this
interaction,
utilizing
meticulously
designed
survey
instrument
capture
subjective
perceptions
through
validated
Likert-scale
measures
analyzing
data
via
advanced
statistical
techniques,
including
correlation
regression
modeling,
complemented
by
rigorous
diagnostic
evaluations
ensure
validity
robustness,
revealing
significant
positive
association
constructs,
with
emerging
as
pivotal
predictor
while
residual
analyses
confirm
adherence
assumptions,
thereby
substantiating
reliability
findings;
results
underscore
centrality
technological
utility
in
driving
consumer
yet
highlight
nuanced
variability
responses.
International Journal of Computational Intelligence Systems,
Год журнала:
2024,
Номер
17(1)
Опубликована: Ноя. 25, 2024
AI
techniques
for
cybersecurity
are
advancing,
but
AI-based
classifiers
suspectable
of
adversarial
attacks.
It
is
challenging
to
quantify
the
efforts
required
an
adversary
manipulate
a
system
and
this
resilience
such
that
different
systems
can
be
compared
using
standard
metrics.
The
study
intends
actions
when
attacker
abuses
propose
model
assess
attacker's
resilience.
proposes
Egyptian
Vulture
Optimized
Adaptive
Elman
Recurrent
Neural
Networks
(EVO-AERNN)
compare
it
with
machine
learning
deep
learning-based
classifiers.
illustrates
potential
adversary-aware
feature
sampling
build
more
robust
use
optimized
algorithm
maintain
inherent
proposed
achieved
accuracy
0.995,
F1
score
0.9932,
precision
0.9921,
recall
(before
attack)
0.987,
(after
0.632,
severity
0.363.
further
validated
secondary
dataset.
This
paves
way
comprehensive
knowledge
attack
scenarios
on
network
offers
valuable
insights,
inspiring
research
advancing
studies.
The
main
purpose
of
this
study
is
to
investigate
the
application
predictive
analytics
techniques
in
energy
field
and
identify
strategies
stimulate
renewable
production.
analysis
begins
by
examining
four
key
indicators:
energy,
gas
price,
consumption
through
a
detailed
descriptive
analysis.
Visual
graphs
are
built
get
an
overview
evolution
sector
period
2011-2020
with
help
Tableau
software.
supported
use
Random
Forest
algorithm
as
prediction
model,
considering
critical
indicators
such
consumption.
results
provide
insight
into
anticipating
changes
production
European
countries
studied.
At
same
time,
highlights
current
situation
Europe
identifies
necessary
measures
for
its
sustainable
development
specialized
literature.
It
also
examines
way
which
big
data
management,
facilitated
technologies
smart
meters
drone
sensors,
can
improve
sector.
This
research
offers
valuable
results,
providing
insights
fossil
well
comparison
prices,
trends
By
integrating
techniques,
management
energy-specific
indicators,
makes
innovative
contribution
systems
Its
focus
on
contributes
understanding
growth
potential
generation
region.
Understanding
client
buying
patterns
in
an
e-commerce
context
is
a
crucial
area
of
investigation
for
firms
looking
to
streamline
their
operations
and
improve
customer
experiences.
This
examines
the
use
several
machine
learning
data
mining
algorithms,
such
as
Random
Forest,
Decision
Tree,
K
nearest
neighbors,
Neural
Networks
support
vector
machine,
assess
behavior
preferences
site.
Huge
amounts
transaction
have
been
produced
by
industry's
meteoric
expansion.
To
experiences,
inventory
management,
hone
marketing
efforts,
enterprises
must
thorough
understanding
consumer
habits.
study
uses
variety
methods
give
examination
purchasing
online
business.
The
investigates
feature
engineering,
model
selection,
evaluation,
well
preparation,
offer
useful
insights
organizations
enhance
operations.
Entrepreneurial Business and Economics Review,
Год журнала:
2023,
Номер
11(4), С. 109 - 121
Опубликована: Янв. 1, 2023
Objective:
The
article
aims
to
show
how
people
perceive
future
implications
for
logistics
customer
service
resulting
from
the
implementation
of
new
technologies
in
form
game-changer
artificial
intelligence
(AI)
solutions
spirit
economy
4.0
and
society
5.0.
Research
Design
&
Methods:
research
process
used
a
nomothetic
approach
based
on
methodology
mixed
research.
qualitative
included
study
monographs,
publications,
reports,
netographic
sources.
We
technique
critical
content
analysis
co-occurrence
terms.
In
turn,
we
quantitative
diagnostic
survey
method
with
computer-assisted
web
interviewing
(CAWI)
technique.
sample
size
was
233.
For
further
analysis,
statistical
package
social
sciences
(SPSS).
Findings:
shows
that
already
uses
different
forms
AI-based
(like
Chabtbots,
Voicebots,
voice
assistants).
Even
customers
positively
evaluate
those
solutions,
among
others,
efficiency,
competence,
quality.
Moreover,
are
aware
know
their
usage
will
deepen
future,
as
it
is
game
changer
competitiveness
logistics.
Implications
Recommendations:
conducted
indicates
need
constantly
improve
digital
competences
users
last-mile
services
context
technologization
transaction
processes.
Different
areas
business
widely
use
because
there
develop
systems
which
help
human-machine
communication.
This
technology
should
be
constructed
safe
easy
use;
both
regard
customers.
As
result
these
processes,
greater
educate
about
awareness
outcomes.
Contribution
Value
Added:
article’s
main
advantage
determining
possibilities
area
dissemination
AI
field,
may
helpful
instrument
enterprises
managing
scenario
future.
