Expert Systems,
Journal Year:
2023,
Volume and Issue:
41(1)
Published: Oct. 18, 2023
Summary
The
rapid
growth
of
the
Internet
Things
(IoT)
has
led
to
its
widespread
adoption
in
various
industries,
enabling
enhanced
productivity
and
efficient
services.
Integrating
IoT
systems
with
existing
enterprise
application
become
common
practice.
However,
this
integration
necessitates
reevaluating
reworking
current
Enterprise
Architecture
(EA)
models
Expert
Systems
(ES)
accommodate
cloud
technologies.
Enterprises
must
adopt
a
multifaceted
view
automate
aspects,
including
operations,
data
management,
technology
infrastructure.
Machine
Learning
(ML)
is
powerful
smart
automation
tool
within
EA.
Despite
potential,
need
for
dedicated
work
focuses
on
ML
applications
services
systems.
With
being
significant
field,
analyzing
IoT‐generated
IoT‐based
networks
crucial.
Many
studies
have
explored
how
can
solve
specific
IoT‐related
challenges.
These
mutually
reinforcing
technologies
allow
leverage
sensor
model
improvement,
leading
operations
practices.
Furthermore,
techniques
empower
knowledge
enable
suspicious
activity
detection
objects.
This
survey
paper
conducts
comprehensive
study
role
applications,
particularly
domains
security.
It
provides
an
in‐depth
analysis
state‐of‐the‐art
approaches
context
IoT,
highlighting
their
contributions,
challenges,
potential
applications.
IEEE Open Journal of the Communications Society,
Journal Year:
2024,
Volume and Issue:
5, P. 2490 - 2540
Published: Jan. 1, 2024
Around
2020,
5G
began
its
commercialization
journey,
and
discussions
about
the
next-generation
networks
(such
as
6G)
emerged.
Researchers
predict
that
6G
will
have
higher
bandwidth,
coverage,
reliability,
energy
efficiency,
lower
latency,
be
an
integrated
"human-centric"
network
system
powered
by
artificial
intelligence
(AI).
This
lead
to
many
real-time
automated
decisions,
ranging
from
resource
allocation
collision
avoidance
for
self-driving
cars.
However,
there
is
a
risk
of
losing
control
over
decision-making
due
high-speed,
data-intensive
AI
may
go
beyond
designers'
users'
comprehension.
To
mitigate
this
risk,
explainable
(XAI)
methods
can
used
enhance
transparency
black-box
process.
paper
surveys
application
XAI
towards
upcoming
age,
including
technologies
intelligent
radio
zero-touch
management)
use
cases
industry
5.0).
Additionally,
summarizes
lessons
learned
recent
attempts
outlines
important
research
challenges
in
applying
soon.
Results in Engineering,
Journal Year:
2024,
Volume and Issue:
22, P. 102132 - 102132
Published: April 21, 2024
Multiple
industries
have
been
revolutionized
by
the
incorporation
of
data
science
advancements
into
intelligent
environment
technologies,
specifically
in
context
smart
grids.
Smart
grids
offer
a
dynamic
and
efficient
framework
for
management
optimization
electricity
generation,
distribution,
consumption,
thanks
to
developments
big
analytics.
This
review
delves
integration
Grid
applications
Big
Data
analytics
reviewing
25
papers
screened
with
PRISMA
standard.
The
paper
matter
encompasses
critical
domains
including
adaptive
energy
management,
canonical
correlation
analysis,
novel
methodologies
blockchain
machine
learning.
emphasizes
contributions
efficiency,
security,
sustainability
means
rigorous
methodology.
Advances in medical technologies and clinical practice book series,
Journal Year:
2024,
Volume and Issue:
unknown, P. 70 - 95
Published: June 7, 2024
The
internet
of
medical
things
(IoMT)
has
revolutionised
modern
healthcare.
This
is
explored
in
detail
the
chapter.
chapter
examines
how
IoMT
technologies
are
being
applied
three
critical
areas—sleep
monitoring,
body
movement
detection,
and
rehabilitation
evaluation—and
they
may
completely
transform
patient
outcomes
treatment.
gives
an
overview
healthcare
introduction,
highlighting
value
sleep
improving
well-being.
also
covers
future
trends,
problems
potential
roadblocks
to
adoption,
solutions
privacy
security
issues.
ends
with
a
summary
most
important
lessons
learned,
revolutionary
contemporary
urging
more
research
into
its
possible
uses.
Energy Sources Part B Economics Planning and Policy,
Journal Year:
2021,
Volume and Issue:
16(11-12), P. 976 - 998
Published: Jan. 7, 2021
This
study
investigates
the
relationship
between
Information
and
Communication
Technology
(ICT)
penetration,
electricity
consumption,
economic
growth,
environmental
pollution
within
a
multivariate
framework.
A
panel
of
16
EU
countries
was
analyzed
over
1990–2017
period.
The
results
Dumitrescu-Hurlin
causality
tests
reveal
existence
one-way
running
from
ICT
usage
consumption
which,
in
turn,
causes
rise
CO2
emissions
improves
GDP.
Panel
Mean-Group
regression
highlight
that
growth
is
also
an
important
driver
demand
as
1%
rate
associated
with
0.13%
increase
per
capita
consumption.
These
demonstrate
for
first
time
literature
single
assessment
on
linkages
among
ICT,
use
novel
focus
EU.
Based
these
results,
adequate
measures
should
encompass
adverse
effects
while
energy
saving
policies
must
be
carefully
implemented
order
not
to
hinder
growth.
IEEE Access,
Journal Year:
2021,
Volume and Issue:
10, P. 535 - 563
Published: Dec. 22, 2021
Recent
technological
and
economic
developments
have
transformed
the
healthcare
sector
towards
more
personalized
IoT-based
services.
These
services
are
realized
through
control
monitoring
applications
that
typically
developed
using
artificial
intelligence/machine
learning-based
algorithms,
which
play
a
significant
role
in
highlighting
efficiency
of
traditional
systems.
Current
dedicated
to
specific
environment
support
personalization.
However,
they
unable
consider
different
interrelated
health
conditions,
leading
inappropriate
diagnoses
affecting
sustainability
long-term
patients.
To
this
end,
current
Healthcare
5.0
technology
has
evolved
supersede
previous
technologies.
The
goal
is
achieve
an
autonomous
service,
takes
into
account
interdependent
effect
conditions
patient.
This
paper
conducts
comprehensive
survey
on
In
particular,
we
first
present
overview
key
requirements
modern
Internet
Things
(HIoT),
including
definition
personalization
example
use
case
scenario
as
representative
for
HIoT.
Second,
explored
fundamental
three-layer
architecture
systems
AI
non-AI-based
approaches,
considering
CPHS
followed
by
their
strengths
weaknesses
frame
Third,
highlighted
security
threats
against
each
layer
IoT
along
with
possible
solutions.
Finally,
propose
methodology
develop
reliable,
resilient,
address
identified
existing
approaches.
Applied Sciences,
Journal Year:
2021,
Volume and Issue:
11(16), P. 7550 - 7550
Published: Aug. 17, 2021
In
the
current
era,
Artificial
Intelligence
(AI)
is
becoming
increasingly
pervasive
with
applications
in
several
applicative
fields
effectively
changing
our
daily
life.
this
scenario,
machine
learning
(ML),
a
subset
of
AI
techniques,
provides
machines
ability
to
programmatically
learn
from
data
model
system
while
adapting
new
situations
as
they
more
by
are
ingesting
(on-line
training).
During
last
years,
many
papers
have
been
published
concerning
ML
field
solar
systems.
This
paper
presents
state
art
models
applied
energy’s
forecasting
i.e.,
for
irradiance
and
power
production
(both
point
interval
or
probabilistic
forecasting),
electricity
price
energy
demand
forecasting.
Other
into
photovoltaic
(PV)
taken
account
modelling
PV
modules,
design
parameter
extraction,
tracking
maximum
(MPP),
systems
efficiency
optimization,
PV/Thermal
(PV/T)
Concentrating
(CPV)
parameters’
optimization
improvement,
anomaly
detection
management
PV’s
storage
While
review
already
exist
regard,
usually
focused
only
on
one
specific
topic,
gathered
all
most
relevant
different
fields.
The
gives
an
overview
recent
promising
used
Energies,
Journal Year:
2022,
Volume and Issue:
15(19), P. 7419 - 7419
Published: Oct. 10, 2022
Smart
meters
(SMs)
can
play
a
key
role
in
monitoring
vital
aspects
of
different
applications
such
as
smart
grids
(SG),
alternative
currents
(AC)
optimal
power
flows,
adversarial
training,
time
series
data,
etc.
Several
practical
privacy
implementations
SM
have
been
made
the
literature,
but
more
studies
and
testing
may
be
able
to
further
improve
efficiency
lower
implementation
costs.
The
major
objectives
cyberattacks
are
loss
data
on
SM-based
SG/power
grid
(PG)
networks
threatening
human
life.
As
result,
losing
is
very
expensive
gradually
hurts
national
economy.
Consequently,
employing
an
efficient
trust
model
against
strictly
desired.
This
paper
presents
research
pivot
for
researchers
who
interested
security
shade
light
importance
SM.
We
highlight
involved
SMs’
features
several
applications.
Afterward,
we
focus
vulnerabilities.
Then,
consider
eleven
models
employed
security,
which
among
common
methodologies
utilized
attaining
preserving
observed
by
SMs.
Following
that,
propose
comparison
existing
solutions
privacy.
In
addition,
valuable
recommendations
introduced
scholars,
taking
into
consideration
effect
protection
disaster
management,
whether
level
lives
or
infrastructure
level.
