Applied System Innovation,
Journal Year:
2025,
Volume and Issue:
8(2), P. 54 - 54
Published: April 17, 2025
Bike-sharing
initiatives
play
a
crucial
role
in
sustainable
urban
transportation,
addressing
vehicular
congestion,
air
quality
issues,
and
sedentary
lifestyles.
However,
the
connection
between
bike-sharing
facilities
advantages
perceived
by
users
remains
insufficiently
explored
particular
post-industrial
regions,
such
as
Silesia,
Poland.
This
study
develops
multidimensional
framework
linking
infrastructure
elements—such
station
density,
bicycle
accessibility,
maintenance
standards,
technological
integration—to
benefits.
Using
mixed-methods
approach,
survey
conducted
key
Silesian
cities
combines
quantitative
analysis
(descriptive
statistics,
factor
analysis,
regression
modelling)
with
qualitative
insights
from
user
feedback.
The
results
indicate
that
most
valuable
benefits
are
health
improvements
(e.g.,
improved
physical
fitness
mobility)
environmental
sustainability.
infrastructural
deficiencies—disjointed
bike
path
systems,
uneven
placements,
irregular
maintenance—substantially
hinder
system
efficiency
accessibility.
Inadequate
adversely
affects
efficiency,
safety,
sustainability,
highlighting
necessity
for
predictive
upkeep
optimised
services.
research
underscores
innovation
enhancing
promoting
seamless
integration
across
multiple
modes,
diversification
of
fleets
(including
e-bikes
cargo
bikes),
use
sophisticated
digital
solutions
like
real-time
tracking,
contactless
payment
IoT-based
monitoring.
Furthermore,
transformation
areas
into
cycling-supportive
environments
presents
strategic
opportunities
regional
revitalisation.
These
findings
extend
beyond
context
offering
actionable
policymakers,
mobility
planners,
Smart
City
stakeholders
worldwide,
aiming
to
foster
inclusive,
efficient,
technology-enabled
systems.
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(3), P. 1346 - 1389
Published: June 10, 2024
As
urbanization
continues
to
pose
new
challenges
for
cities
around
the
world,
concept
of
smart
is
a
promising
solution,
with
artificial
intelligence
(AI)
playing
central
role
in
this
transformation.
This
paper
presents
literature
review
AI
solutions
applied
cities,
focusing
on
its
six
main
areas:
mobility,
environment,
governance,
living,
economy,
and
people.
The
analysis
covers
publications
from
2021
2024
available
Scopus.
examines
application
each
area
identifies
barriers,
advances,
future
directions.
authors
set
following
goals
analysis:
(1)
identify
applications
using
cities;
(2)
barriers
implementation
(3)
explore
directions
usage
cities.
World Journal of Advanced Research and Reviews,
Journal Year:
2024,
Volume and Issue:
21(1), P. 2487 - 2799
Published: Jan. 29, 2024
The
integration
of
Artificial
Intelligence
(AI)
in
the
renewable
energy
sector
has
emerged
as
a
transformative
force,
enhancing
efficiency
and
sustainability
systems.
This
paper
provides
comprehensive
review
application
AI
two
critical
aspects
relation
to
predictive
maintenance
optimization.
Predictive
maintenance,
enabled
by
AI,
revolutionized
landscape
predicting
preventing
equipment
failures
before
they
occur.
Utilizing
machine
learning
algorithms,
analyzes
vast
amounts
data
from
sensors
historical
performance
identify
patterns
indicative
potential
faults.
proactive
approach
not
only
minimizes
downtime
but
also
extends
lifespan
infrastructure,
resulting
substantial
cost
savings
improved
reliability.
Furthermore,
plays
pivotal
role
optimizing
output
sources.
Through
advanced
analytics
real-time
monitoring,
algorithms
can
adapt
changing
environmental
conditions,
production
resource
allocation.
ensures
maximum
yield
sources,
making
them
more
competitive
with
traditional
delves
into
specific
techniques
such
deep
learning,
neural
networks,
employed
for
optimization
various
systems
like
solar,
wind,
hydropower.
Challenges
opportunities
associated
implementing
are
discussed,
including
security,
interoperability,
need
standardized
frameworks.
synthesis
technologies
addresses
operational
challenges
contributes
global
transition
towards
sustainable
clean
solutions.
serves
valuable
researchers,
practitioners,
policymakers
seeking
insights
evolving
applications
sector.
As
technology
continues
advance,
synergies
between
poised
shape
future
paradigm.
Engineering Science & Technology Journal,
Journal Year:
2024,
Volume and Issue:
5(4), P. 1243 - 1256
Published: April 10, 2024
Artificial
intelligence
(AI)
is
revolutionizing
the
field
of
energy
efficiency
optimization
by
enabling
advanced
analysis
and
control
systems.
This
review
provides
a
concise
overview
role
AI
in
enhancing
efficiency.
technologies,
such
as
machine
learning
neural
networks,
are
being
increasingly
applied
to
optimize
consumption
various
sectors,
including
buildings,
transportation,
industrial
processes.
These
technologies
analyze
vast
amounts
data
identify
patterns
trends,
more
precise
systems
prediction
demand.
One
key
advantages
its
ability
adapt
learn
from
data,
leading
continuous
improvement
energy-saving
strategies.
algorithms
can
based
on
factors
weather
conditions,
occupancy
patterns,
prices,
resulting
significant
cost
savings
environmental
benefits.
Furthermore,
enables
integration
renewable
sources
into
existing
predicting
generation
optimizing
use.
helps
reduce
reliance
fossil
fuels
mitigates
greenhouse
gas
emissions,
contributing
sustainable
future.
However,
implementation
not
without
challenges.
include
privacy
concerns,
need
for
specialized
skills
develop
deploy
solutions,
complexity
integrating
infrastructure.
Addressing
these
challenges
will
be
crucial
realizing
full
potential
optimization.
In
conclusion,
holds
great
promise
intelligent
By
leveraging
organizations
achieve
savings,
costs,
contribute
resilient
future.
Keywords:
Role,
AI,
Energy,
Efficiency,
Optimization.
Discover Oncology,
Journal Year:
2025,
Volume and Issue:
16(1)
Published: Jan. 22, 2025
Abstract
Liver
cancer
is
one
of
the
most
challenging
malignancies,
often
associated
with
poor
prognosis
and
limited
treatment
options.
Recent
advancements
in
nanotechnology
artificial
intelligence
(AI)
have
opened
new
frontiers
fight
against
this
disease.
Nanotechnology
enables
precise,
targeted
drug
delivery,
enhancing
efficacy
therapeutics
while
minimizing
off-target
effects.
Simultaneously,
AI
contributes
to
improved
diagnostic
accuracy,
predictive
modeling,
development
personalized
strategies.
This
review
explores
convergence
liver
treatment,
evaluating
current
progress,
identifying
existing
research
gaps,
discussing
future
directions.
We
highlight
how
AI-powered
algorithms
can
optimize
nanocarrier
design,
facilitate
real-time
monitoring
efficacy,
enhance
clinical
decision-making.
By
integrating
nanotechnology,
clinicians
achieve
more
accurate
patient
stratification
personalization,
ultimately
improving
outcomes.
holds
significant
promise
for
transforming
therapy
into
a
individualized,
efficient
process.
However,
data
privacy,
regulatory
hurdles,
need
large-scale
validation
remain.
Addressing
these
issues
will
be
essential
fully
realizing
potential
technologies
oncology.
Smart Cities,
Journal Year:
2025,
Volume and Issue:
8(1), P. 16 - 16
Published: Jan. 21, 2025
The
rapid
urbanization
and
pursuit
of
sustainability
have
elevated
shared
mobility
as
a
cornerstone
smart
cities.
Among
its
modalities,
scooter-sharing
has
gained
popularity
for
convenience
eco-friendliness,
yet
it
faces
significant
adoption
barriers.
This
study
investigates
the
challenges
to
systems
within
cities,
focusing
on
Silesian
region
Poland
case
study.
It
aims
identify
region-specific
barriers
opportunities
in
Central
Eastern
Europe
provide
insights
into
long-term
development
trends
potential
challenges.
Using
comprehensive
statistical
methods,
including
factor
analysis
regression
models,
this
identifies
key
such
insufficient
bike
paths,
poor
path
conditions,
inadequate
signage,
fleet
maintenance
issues,
complex
rental
processes.
External
factors
like
adverse
weather
heavy
traffic,
coupled
with
health
safety
concerns,
further
hinder
adoption,
particularly
among
vulnerable
populations.
Additionally,
explores
future
scooter-sharing,
emphasizing
role
advanced
technologies,
adaptive
urban
planning,
sustainable
management
ensuring
feasibility.
Drawing
global
studies,
underscores
need
tailored
infrastructural
investments,
management,
user-centric
policies
align
city
goals
sustainability,
accessibility,
improved
mobility.
These
findings
offer
actionable
policymakers
service
providers
striving
integrate
evolving
landscape
Smart Cities,
Journal Year:
2024,
Volume and Issue:
7(4), P. 1626 - 1669
Published: July 1, 2024
This
paper
examines
business
model
implementations
in
three
leading
European
smart
cities:
London,
Amsterdam,
and
Berlin.
Through
a
systematic
literature
review
comparative
analysis,
the
study
identifies
analyzes
various
models
employed
these
urban
contexts.
The
findings
reveal
diverse
array
of
models,
including
public–private
partnerships,
build–operate–transfer
arrangements,
performance-based
contracts,
community-centric
innovation
hubs,
revenue-sharing
outcome-based
financing,
asset
monetization
strategies.
Each
city
leverages
unique
combination
to
address
its
specific
challenges
priorities.
highlights
role
PPPs
large-scale
infrastructure
projects,
BOT
arrangements
transportation
solutions,
contracts
driving
efficiency
accountability.
It
also
explores
benefits
strategies
enhancing
sustainability,
efficiency,
livability
cities.
offers
valuable
insights
for
policymakers,
planners,
researchers
seeking
advance
development
worldwide.
Energies,
Journal Year:
2024,
Volume and Issue:
17(5), P. 1213 - 1213
Published: March 3, 2024
The
relentless
advancement
of
digital
technologies
has
the
potential
to
significantly
reshape
energy
landscape
as
become
increasingly
integrated
into
diverse
sectors
economy.
This
study
explores
intricate
relationship
between
digitalization
and
in
EU
countries,
focusing
on
its
direct
indirect
impacts
consumption,
structure,
intensity.
Furthermore,
this
mediating
mechanisms
that
facilitate
these
changes,
including
role
technological
innovation
government
efficiency
outcomes.
Focusing
countries
using
system-GMM
method,
research
accounts
for
heterogeneity
impact
across
various
member
states.
It
examines
varying
effects
different
considering
their
income
levels,
environmental
regulations,
green
investments.
results
demonstrate
strategic
deployment
substantially
benefits
sector.
By
optimizing
consumption
enhancing
structure
through
integration
renewable
sources,
could
move
closer
sustainability
objectives.
Energies,
Journal Year:
2024,
Volume and Issue:
17(7), P. 1778 - 1778
Published: April 8, 2024
The
decarbonization
of
European
economies
is
an
established
reality
that
has
been
accelerating
in
recent
years.
focus
EU
policy
on
the
dynamic
transformation
energy
balances
Member
States,
which
most
significantly
impacts
reliant
coal.
In
context
emerging
megatrends,
this
study
sets
out
to
determine
extent
changes
occurring
Union
countries
relation
Green
Deal
paradigm.
objective
article
introduce
a
comprehensive
method
developed
by
authors
for
assessing
dynamics
under
study.
This
divided
into
two
phases.
Initially,
are
classified
according
matrix.
Subsequently,
actual
assessment
conducted
using
novel
composite
indicator,
ETPI
(Energy
Transition
Progress
Index),
based
analyses
2022
and
2013
Eurostat
data.
results
identify
leaders
transformation,
such
as
Sweden,
Germany,
Denmark,
France,
Italy,
Spain,
Austria,
Finland,
Netherlands,
while
highlighting
significant
challenges
facing
Poland
Bulgaria.
Electronics,
Journal Year:
2024,
Volume and Issue:
13(10), P. 1973 - 1973
Published: May 17, 2024
The
integration
of
Artificial
Intelligence
(AI)
in
Energy
Storage
Systems
(ESS)
for
Electric
Vehicles
(EVs)
has
emerged
as
a
pivotal
solution
to
address
the
challenges
energy
efficiency,
battery
degradation,
and
optimal
power
management.
capability
such
systems
differ
from
theoretical
modeling
enhances
their
applicability
across
various
domains.
vast
amount
data
available
today
enabled
AI
be
trained
predict
behavior
complex
with
high
degree
accuracy.
As
we
move
towards
more
sustainable
future,
electrification
vehicles
integrating
electric
storage
are
becoming
increasingly
important
need
addressed.
synergy
ESS
overall
efficiency
plays
crucial
role
shaping
intelligent
ecosystem.
To
best
authors’
knowledge,
applications
have
not
been
explicitly
reviewed.
research
investigates
importance
advancements
vehicles,
specifically
focusing
on
Battery
Management
(BMS),
Power
Quality
(PQ)
issues,
predicting
State-of-Charge
(SOC)
State-of-Health
(SOH),
exploring
potential
Renewable
Sources
EV
charging
needs
optimizing
cycles.
This
study
examined
all
topics
identify
most
commonly
used
methods,
which
were
analyzed
based
characteristics
potential.
Future
trends
identified
by
emerging
techniques
introduced
recent
literature
contributions
published
since
2017.
