Deleted Journal,
Journal Year:
2023,
Volume and Issue:
2023, P. 15 - 16
Published: April 8, 2023
As
artificial
intelligence
continues
its
relentless
march
towards
advancing
capability,
there
is
surprisingly
little
discussion
around
responsibility.
The
data
centers
underpinning
AI
research
devour
massive
amounts
of
energy
and
contribute
substantially
to
emissions.
But
what
if
could
flip
the
script
help
curb
emissions
instead?
An
emerging
field
known
as
Green
provides
solutions
by
building
economic
environmental
sustainability
directly
into
systems.
In
a
paper
published
this
week,
researchers
set
out
an
innovative
framework
for
leveraging
machine
learning
accelerate
transition
circular
economy.
This
model
moves
away
from
traditional
linear
take-make-dispose
economy
one
where
products,
parts,
materials
can
be
reused,
remanufactured,
recycled
in
closed
loops.
automation
will
provide
optimization
backbone
make
such
closed-loop
supply
chains
efficient
cost-effective.
Sustainability,
Journal Year:
2023,
Volume and Issue:
15(23), P. 16387 - 16387
Published: Nov. 28, 2023
This
article
provides
a
comprehensive
examination
of
sustainable
6G
wireless
communication
systems,
addressing
the
urgent
need
for
environmentally
friendly
and
energy-efficient
networks.
The
background
establishes
broader
context
significance
study,
emphasizing
escalating
concerns
surrounding
environmental
impact
energy
consumption
systems.
purpose
this
study
is
to
explore
propose
solutions
methods
employed
in
research
encompass
an
analysis
various
strategies
technologies,
including
energy-aware
network
design,
dynamic
power
management,
harvesting,
green
infrastructure
deployment.
main
findings
highlight
effectiveness
these
approaches
enhancing
efficiency,
reducing
carbon
footprint,
optimizing
resource
management
conclusions
drawn
from
emphasize
importance
systems
achieving
more
eco-friendly
future.
It
crucial
adopt
practices
minimize
address
increasing
demands
valuable
insights
researchers,
industry
practitioners,
policymakers,
aiding
development
implementation
International Journal of Energy Economics and Policy,
Journal Year:
2023,
Volume and Issue:
13(4), P. 287 - 299
Published: July 9, 2023
Humanity’s
quest
for
safe,
resilient,
and
liveable
cities
has
prompted
research
into
the
application
of
computational
tools
in
design
development
sustainable
smart
cities.
Thus,
artificial
intelligence
(AISC)
become
an
important
field
with
numerous
publications,
citations,
collaborations.
However,
scholarly
works
on
publication
trends
landscape
AISC
remain
lacking.
Therefore,
this
paper
examines
current
status
future
directions
research.
The
PRISMA
approach
was
selected
to
identify,
screen,
analyse
1,982
publications
from
Scopus
between
2011
2022.
Results
showed
that
number
citations
rose
2
470
157
1,540,
respectively.
Stakeholder
productivity
analysis
most
prolific
author
affiliation
are
Tan
Yigitcanlar
(10
518
citations)
King
Abdulaziz
University
(23
793
citations),
Productivity
attributed
national
interests,
priorities,
or
international
funding.
largest
funder
is
National
Natural
Science
Foundation
China
(126
6.357
percent
total
publications).
Keyword
co-occurrence
cluster
analyses
revealed
6
hotspots
AISC:
digital
innovation
technologies;
infrastructure
intelligent
data
systems;
cognitive
computing;
sustainability;
energy
efficiency;
nexus
among
intelligence,
Internet
Things,
analytics
Future
would
likely
focus
socio-economic,
ethical,
policy,
technical
aspects
topic.
It
envisaged
global
scientific
interest
relevant
products,
services
will
continue
rise
future.
Sustainable Cities and Society,
Journal Year:
2024,
Volume and Issue:
101, P. 105182 - 105182
Published: Jan. 7, 2024
Green
infrastructure
(GI)
is
a
fundamental
building
block
of
our
cities.
It
contributes
to
the
sustainability
and
vitality
cities
by
offering
various
benefits
such
as
greening,
cooling,
water,
air
quality,
managing
carbon
emissions.
GI
plays
an
essential
role
in
enhancing
overall
well-being.
The
utilisation
artificial
intelligence
(AI)
technologies
for
optimisation
perceived
powerful
approach
A
knowledge
gap,
nevertheless,
remains
research
on
AI-driven
tackling
climate
change.
This
study
aims
consolidate
comprehension
optimisation,
particularly
methodology
adopts
PRISMA
protocol
perform
systematic
literature
review.
review
results
are
analysed
from
six
aspects—i.e.,
objectives,
objectives
categories,
indicators,
models,
types,
scales.
findings
revealed:
(a)
was
mainly
undertaken
areas
biodiversity
ecosystem
security,
energy
efficiency,
public
health,
heat
islands,
water
management;
(b)
Indicator
categories
were
concentrated
indicators
related
GI,
objective,
other
general/supporting
indicators.
Based
these
findings,
framework
developed
enhance
understanding
process
within
realm
Journal Of Big Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: April 22, 2024
Abstract
This
investigation
delves
into
Green
AI
and
Sustainable
literature
through
a
dual-analytical
approach,
combining
thematic
analysis
with
BERTopic
modeling
to
reveal
both
broad
clusters
nuanced
emerging
topics.
It
identifies
three
major
clusters:
(1)
Responsible
for
Development,
focusing
on
integrating
sustainability
ethics
within
technologies;
(2)
Advancements
in
Energy
Optimization,
centering
energy
efficiency;
(3)
Big
Data-Driven
Computational
Advances,
emphasizing
AI’s
influence
socio-economic
environmental
aspects.
Concurrently,
uncovers
five
topics:
Ethical
Eco-Intelligence,
Neural
Computing,
Healthcare
Intelligence,
Learning
Quest,
Cognitive
Innovation,
indicating
trend
toward
embedding
ethical
considerations
research.
The
study
reveals
novel
intersections
between
significant
research
trends
identifying
Intelligence
Quest
as
evolving
areas
societal
impacts.
advocates
unified
approach
innovation
AI,
promoting
integrity
foster
responsible
development.
aligns
the
Development
Goals,
need
ecological
balance,
welfare,
innovation.
refined
focus
underscores
critical
development
lifecycle,
offering
insights
future
directions
policy
interventions.
Journal of Urban Technology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 35
Published: Feb. 1, 2024
Public
institutions'
chatbots
enhance
communication
when
they
provide
services.
Despite
their
growing
popularity
and
importance,
chatbot
adoption
by
government
entities
is
a
relatively
understudied
area
of
research.
This
deficiency
even
more
acute
examining
the
role
within
local
governments,
which
many
services
citizens
depend
upon.
article
consolidates
prior
research
on
in
governments.
A
systematic
literature
review
analyzed
research,
categorized
under
four
domains—i.e.
purpose
areas,
benefits
risks,
user
perspectives,
institutional
perspectives.
The
analysis
revealed
that:
(1)
most
common
reasons
for
among
governments
are
information
provisioning,
consultation,
transactions,
complaints;
(2)
Chatbots
can
outreach
engagement
with
citizens;
(3)
main
ethical
concerns
accuracy,
accountability,
exclusionary
assumptions;
(4)
acceptance
technology
be
influenced
perceived
humanness
chatbot;
(5)
Institutional
readiness
major
factor
success;
(6)
Incorporating
suggestions
implications
through
design
thinking
process
could
improve
service
quality.
study
findings
inform
opportunities
constraints
associated
considering
heightened
interest
artificial
intelligence
developments
worldwide.
Giant,
Journal Year:
2024,
Volume and Issue:
19, P. 100299 - 100299
Published: June 5, 2024
In
the
era
of
smart
and
sustainable
technology
driven
by
naturally
occurring
materials,
various
nanocellulose-based
materials
play
a
crucial
role.
Shape
memory
behaviour
self-healing
capabilities
nanocelluloses
are
emerging
as
focal
points
in
numerous
research
domains.
Nanocellulose
its
derivatives
such
cellulose
nanocrystals
(CNC)
nanofibers
(CNF),
currently
limelight
due
to
their
excellent
shape-memory
properties,
making
them
suitable
for
multifunctional
devices.
this
regard,
CNF,
cutting-edge
material,
has
spurred
researchers
explore
potential
developing
contemporary
personalized
health
Therefore,
timely
comprehensive
review
is
essential
gain
deep
insights
into
effectiveness
CNF
Herein,
we
first
provide
succinct
introduction
all
nanocellulose
materials.
This
also
depicts
recent
advancements
breakthroughs
large
effective
synthesis
CNF-based
hybrid
Next,
focusing
on
performance,
sheds
new
light
advanced
applications
Finally,
perspectives
current
challenges
opportunities
field
summarized
future
an
in-depth
understanding
"CNF-based
materials."
Sustainability,
Journal Year:
2022,
Volume and Issue:
14(2), P. 810 - 810
Published: Jan. 12, 2022
Natural
hazard-related
disasters
are
disruptive
events
with
significant
impact
on
people,
communities,
buildings,
infrastructure,
animals,
agriculture,
and
environmental
assets.
The
exponentially
increasing
anthropogenic
activities
the
planet
have
aggregated
climate
change
consequently
increased
frequency
severity
of
these
natural
disasters,
consequential
damages
in
cities.
digital
technological
advancements,
such
as
monitoring
systems
based
fusion
sensors
machine
learning,
early
detection,
warning
disaster
response
being
implemented
part
management
practice
many
countries
presented
useful
results.
Along
promising
technologies,
crowdsourced
social
media
big
data
analytics
has
also
started
to
be
utilized.
This
study
aims
form
an
understanding
how
can
utilized
assist
government
authorities
estimating
linked
impacts
urban
centers
age
change.
To
this
end,
analyzes
from
Twitter
users
testbed
case
Australian
states
territories.
methodological
approach
employs
method
conducts
sentiment
content
analyses
location-based
messages
(n
=
131,673)
Australia.
informs
innovative
way
analyze
geographic
distribution,
occurrence
various
their
geo-tweets
analysis.
AI & Society,
Journal Year:
2022,
Volume and Issue:
38(3), P. 1135 - 1150
Published: May 3, 2022
Abstract
Highly
sophisticated
capabilities
of
artificial
intelligence
(AI)
have
skyrocketed
its
popularity
across
many
industry
sectors
globally.
The
public
sector
is
one
these.
Many
cities
around
the
world
are
trying
to
position
themselves
as
leaders
urban
innovation
through
development
and
deployment
AI
systems.
Likewise,
increasing
numbers
local
government
agencies
attempting
utilise
technologies
in
their
operations
deliver
policy
generate
efficiencies
highly
uncertain
complex
environments.
While
on
rise
circles,
there
limited
understanding
lack
empirical
studies
city
manager
perceptions
concerning
Bridging
this
gap
rationale
study.
methodological
approach
adopted
study
twofold.
First,
collects
data
semi-structured
interviews
with
managers
from
Australia
US.
Then,
analyses
using
summative
content
analysis
technique
two
software.
identifies
following
themes
generates
insights
into
services:
adoption
areas,
cautionary
challenges,
effects,
impacts,
knowledge
basis,
plans,
preparedness,
roadblocks,
technologies,
timeframes,
usefulness.
findings
inform
efforts
deploy
operations,
offer
directions
for
prospective
research.
Journal of Open Innovation Technology Market and Complexity,
Journal Year:
2022,
Volume and Issue:
8(1), P. 16 - 16
Published: Jan. 10, 2022
Artificial
intelligence
(AI)
is
a
powerful
technology
that
can
be
utilized
throughout
construction
project
lifecycle.
Transition
to
incorporate
AI
technologies
in
the
industry
has
been
delayed
due
lack
of
know-how
and
research.
There
also
knowledge
gap
regarding
how
public
perceives
technologies,
their
areas
application,
prospects,
constraints
industry.
This
study
aims
explore
adoption
prospects
Australian
by
analyzing
social
media
data.
adopted
analytics,
along
with
sentiment
content
analyses
Twitter
messages
(n
=
7906),
as
methodological
approach.
The
results
revealed
that:
(a)
robotics,
internet-of-things,
machine
learning
are
most
popular
Australia;
(b)
sentiments
toward
mostly
positive,
whilst
some
negative
perceptions
exist;
(c)
there
distinctive
views
on
opportunities
among
states/territories;
(d)
timesaving,
innovation,
digitalization
common
prospects;
(e)
risk,
security
data,
capabilities
constraints.
first
findings
inform
adoption.
In
addition,
it
advocates
search
for
finding
efficient
means
utilize
technologies.
helps
factored
