Frontiers in Science and Engineering,
Год журнала:
2024,
Номер
4(8), С. 21 - 30
Опубликована: Авг. 21, 2024
Artificial
Intelligence
(AI)
is
poised
to
revolutionize
the
architectural
design
and
energy
management
of
green
buildings,
offering
significant
advancements
in
sustainability
efficiency.
This
paper
explores
transformative
impact
AI
on
improving
efficiency
reducing
carbon
emissions
commercial
buildings.
By
leveraging
algorithms,
architects
can
optimize
building
performance
through
advanced
environmental
analysis,
automation
repetitive
tasks,
real-time
data-driven
decision-making.
facilitates
precise
consumption
forecasting
integration
renewable
sources,
enhancing
overall
Our
study
demonstrates
that
reduce
CO2
by
approximately
8%
19%,
respectively,
typical
mid-size
office
buildings
2050
compared
conventional
methods.
Further,
combination
with
policies
low-emission
production
projected
yield
reductions
up
40%
90%
emissions.
provides
a
systematic
approach
for
quantifying
AI's
benefits
across
various
types
climate
zones,
valuable
insights
decision-makers
construction
industry.
PeerJ Computer Science,
Год журнала:
2025,
Номер
11, С. e2795 - e2795
Опубликована: Апрель 15, 2025
This
study
presents
an
augmented
hybrid
approach
for
improving
the
diagnosis
of
malignant
skin
lesions
by
combining
convolutional
neural
network
(CNN)
predictions
with
selective
human
interventions
based
on
prediction
confidence.
The
algorithm
retains
high-confidence
CNN
while
replacing
low-confidence
outputs
expert
assessments
to
enhance
diagnostic
accuracy.
A
model
utilizing
EfficientNetB3
backbone
is
trained
datasets
from
ISIC-2019
and
ISIC-2020
SIIM-ISIC
melanoma
classification
challenges
evaluated
a
150-image
test
set.
model’s
are
compared
against
69
experienced
medical
professionals.
Performance
assessed
using
receiver
operating
characteristic
(ROC)
curves
area
under
curve
(AUC)
metrics,
alongside
analysis
resource
costs.
baseline
achieves
AUC
0.822,
slightly
below
performance
experts.
However,
improves
true
positive
rate
0.782
reduces
false
0.182,
delivering
better
minimal
involvement.
offers
scalable,
resource-efficient
solution
address
variability
in
image
analysis,
effectively
harnessing
complementary
strengths
humans
CNNs.
In
today's
highly
digitized
and
globalized
financial
environment,
the
need
to
protect
payment
systems
from
risk
is
more
urgent
than
ever.
Artificial
intelligence
(AI)
technology
rapidly
becoming
a
key
tool
in
this
space,
with
machine
learning
algorithms,
big
data
analytics,
real-time
monitoring
enabling
AI
effectively
detect
prevent
fraudulent
activity,
optimize
management
processes,
deliver
intelligent
services.
not
only
improves
security
efficiency
of
systems,
but
also
significantly
customer
satisfaction
loyalty.
With
continuous
development
technology,
industry
will
usher
innovations
changes
future,
further
optimizing
process,
improving
efficiency,
ensuring
security.
The
application
of
AI
technology
in
urban
planning
covers
multiple
levels,
such
as
data
analysis,
decision
support,
and
automated
planning.
Urban
research
relies
on
to
understand
summarize
the
law
growth
improve
analysis
evolution
trend
space.
Planning
design
use
explore
relevant
factors
affecting
development
their
weights
discuss
critical
role
green
building
sustainable
construction
industry.
With
increase
global
energy
consumption
carbon
emissions,
traditional
methods
can
no
longer
meet
environmental
protection
requirements
efficient
resources.
As
a
solution,
has
been
paid
more
attention
adopted
by
people.
These
technologies
focus
not
only
efficiency
impact
buildings
but
also
resource
utilization
load
over
entire
life
cycle
driven
machine
learning.
This
paper
details
basic
principles
applications
technologies,
including
AI-driven
reduction
negative
impacts,
improvement
occupant
health,
resources,
optimization
indoor
quality.
focuses
LEED
assessment
system
developed
U.S.
Green
Building
Council
advancing
practices.
In
addition,
analyzes
vital
points
water
design,
learning-driven
wind
environment
optimization,
solar
application,
practical
cases
these
scale.
Academic Journal of Science and Technology,
Год журнала:
2024,
Номер
12(2), С. 1 - 6
Опубликована: Авг. 24, 2024
This
paper
explores
the
potential
and
challenges
of
mobile
Internet
in
household
investment
decisions.
The
rapid
development
has
brought
opportunities
to
asset
allocation,
especially
promoting
greater
participation
venture
investment.
focuses
on
application
machine
learning
analyzing
behavior
patterns
trends.
It
reveals
income
rules,
consumption
allocation
preferences
through
extensive
data
analysis.
However,
faces
many
challenges,
such
as
privacy
protection,
algorithmic
interpretation,
acquisition
costs.
Finally,
calls
for
further
research
exploration
deepen
understanding
how
technological
innovation
can
drive
intelligent
optimized
financial
The
Roman
Empire
left
a
significant
mark
on
world
history,
influencing
various
aspects
of
life
for
many
peoples.One
such
aspect
is
architecture,
which
underwent
influence
from
culture.Crimea,
as
part
the
Northern
Black
Sea
region,
was
no
exception.The
Influence
Culture
Crimean
Architecture
culture
had
great
architecture
due
to
its
nonmaterial
factors,
religion,
art,
philosophy,
and
social
norms.These
factors
contributed
formation
architectural
traditions
that
have
been
preserved
this
day.
ReligionReligion
one
main
influenced
Empire.The
Romans
built
temples
dedicated
their
gods,
these
became
models
construction
religious
buildings
in
Crimea.For
example,
Chersonesus
Taurica,
were
elements
columns,
arches,
domes
[1].
ArtRoman
art
also
architecture.The
used
mosaics,
frescoes,
sculptures
decorate
buildings.These
borrowed
by
architects
palaces,
temples,
other
structures.For
mosaics
found
motifs
[2].
PhilosophyRoman
philosophy
believed
should
be
not
only
functional
but
aesthetically
pleasing.This
principle
adopted
architects,
who
sought
create
combine
beauty
practicality.For
public
