Journal Of Big Data,
Journal Year:
2024,
Volume and Issue:
11(1)
Published: May 14, 2024
Abstract
Big
Data
is
still
gaining
attention
as
a
fundamental
building
block
of
the
Artificial
Intelligence
and
Machine
Learning
world.
Therefore,
lot
effort
has
been
pushed
into
research
in
last
15
years.
The
objective
this
Systematic
Literature
Review
to
summarize
current
state
art
previous
years
about
by
providing
answers
set
questions
related
main
application
domains
for
analytics;
significant
challenges
limitations
researchers
have
encountered
analysis,
emerging
trends
future
directions
Data.
review
follows
predefined
procedure
that
automatically
searches
five
well-known
digital
libraries.
After
applying
selection
criteria
results,
189
primary
studies
were
identified
relevant,
which
32
Reviews.
Required
information
was
extracted
from
summarized.
Our
sketched
picture
Data,
identifying
domains,
challenges,
field.
We
believe
substantial
amount
work
remains
be
done
align
seamlessly
integrate
data-driven
advanced
software
solutions
future.
Systems,
Journal Year:
2023,
Volume and Issue:
11(8), P. 400 - 400
Published: Aug. 2, 2023
The
growing
interest
in
unmanned
aerial
vehicles
(UAVs)
from
both
the
scientific
and
industrial
sectors
has
attracted
a
wave
of
new
researchers
substantial
investments
this
expansive
field.
However,
due
to
wide
range
topics
subdomains
within
UAV
research,
newcomers
may
find
themselves
overwhelmed
by
numerous
options
available.
It
is
therefore
crucial
for
those
involved
research
recognize
its
interdisciplinary
nature
connections
with
other
disciplines.
This
paper
presents
comprehensive
overview
field,
highlighting
recent
trends
advancements.
Drawing
on
literature
reviews
surveys,
review
begins
classifying
UAVs
based
their
flight
characteristics.
then
provides
an
current
UAVs,
utilizing
data
Scopus
database
quantify
number
documents
associated
each
direction
interconnections.
also
explores
potential
areas
further
development
including
communication,
artificial
intelligence,
remote
sensing,
miniaturization,
swarming
cooperative
control,
transformability.
Additionally,
it
discusses
aircraft
commonly
used
control
techniques,
appropriate
algorithms
research.
Furthermore,
addresses
general
hardware
software
architecture
applications,
key
issues
them.
open
source
projects
By
presenting
view
aims
enhance
our
understanding
rapidly
evolving
highly
area
Journal of King Saud University - Computer and Information Sciences,
Journal Year:
2023,
Volume and Issue:
35(8), P. 101675 - 101675
Published: Aug. 2, 2023
Chat
Generative
Pre-trained
Transformer
(ChatGPT)
has
gained
significant
interest
and
attention
since
its
launch
in
November
2022.
It
shown
impressive
performance
various
domains,
including
passing
exams
creative
writing.
However,
challenges
concerns
related
to
biases
trust
persist.
In
this
work,
we
present
a
comprehensive
review
of
over
100
Scopus-indexed
publications
on
ChatGPT,
aiming
provide
taxonomy
ChatGPT
research
explore
applications.
We
critically
analyze
the
existing
literature,
identifying
common
approaches
employed
studies.
Additionally,
investigate
diverse
application
areas
where
found
utility,
such
as
healthcare,
marketing
financial
services,
software
engineering,
academic
scientific
writing,
education,
environmental
science,
natural
language
processing.
Through
examining
these
applications,
gain
valuable
insights
into
potential
addressing
real-world
challenges.
also
discuss
crucial
issues
trustworthiness,
emphasizing
need
for
further
development
areas.
Furthermore,
identify
future
directions
research,
proposing
solutions
current
speculating
expected
advancements.
By
fully
leveraging
capabilities
can
unlock
across
leading
advancements
conversational
AI
transformative
impacts
society.
Sustainable Cities and Society,
Journal Year:
2022,
Volume and Issue:
85, P. 104059 - 104059
Published: July 19, 2022
Smart
cities
attempt
to
reach
net-zero
emissions
goals
by
reducing
wasted
energy
while
improving
grid
stability
and
meeting
service
demand.
This
is
possible
adopting
next-generation
systems,
which
leverage
artificial
intelligence,
the
Internet
of
things
(IoT),
communication
technologies
collect
analyze
big
data
in
real-time
effectively
run
city
services.
However,
training
machine
learning
algorithms
perform
various
energy-related
tasks
sustainable
smart
a
challenging
science
task.
These
might
not
as
expected,
take
much
time
training,
or
do
have
enough
input
generalize
well.
To
that
end,
transfer
(TL)
has
been
proposed
promising
solution
alleviate
these
issues.
best
authors'
knowledge,
this
paper
presents
first
review
applicability
TL
for
systems
well-defined
taxonomy
existing
frameworks.
Next,
an
in-depth
analysis
carried
out
identify
pros
cons
current
techniques
discuss
unsolved
Moving
on,
two
case
studies
illustrating
use
(i)
prediction
with
mobility
(ii)
load
forecasting
sports
facilities
are
presented.
Lastly,
ends
discussion
future
directions.
Membranes,
Journal Year:
2023,
Volume and Issue:
13(6), P. 612 - 612
Published: June 20, 2023
Climate
change,
global
population
growth,
and
rising
standards
of
living
have
put
immense
strain
on
natural
resources,
resulting
in
the
unsecured
availability
water
as
an
existential
resource.
Access
to
high-quality
drinking
is
crucial
for
daily
life,
food
production,
industry,
nature.
However,
demand
freshwater
resources
exceeds
available
supply,
making
it
essential
utilize
all
alternative
such
desalination
brackish
water,
seawater,
wastewater.
Reverse
osmosis
a
highly
efficient
method
increase
supplies
make
clean,
affordable
accessible
millions
people.
ensure
universal
access
various
measures
need
be
implemented,
including
centralized
governance,
educational
campaigns,
improvements
catchment
harvesting
technologies,
infrastructure
development,
irrigation
agricultural
practices,
pollution
control,
investments
novel
transboundary
cooperation.
This
paper
provides
comprehensive
overview
utilizing
sources,
with
particular
emphasis
seawater
wastewater
reclamation
techniques.
In
particular,
membrane-based
technologies
are
critically
reviewed,
focus
their
energy
consumption,
costs,
environmental
impacts.
Displays,
Journal Year:
2023,
Volume and Issue:
77, P. 102391 - 102391
Published: Feb. 2, 2023
The
eyes
are
an
essential
tool
for
human
observation
and
perception
of
the
world,
helping
people
to
perform
their
tasks.
Visual
impairment
causes
many
inconveniences
in
lives
visually
impaired
people.
Therefore,
it
is
necessary
focus
on
needs
community.
Researchers
work
from
different
angles
help
live
normal
lives.
advent
digital
age
has
profoundly
changed
community,
making
life
more
convenient.
Deep
learning,
as
a
promising
technology,
also
expected
improve
It
increasingly
being
used
diagnosis
eye
diseases
development
visual
aids.
earlier
accurate
disease
by
doctor,
sooner
patient
can
receive
appropriate
treatment
better
chances
cure.
This
paper
summarises
recent
research
artificial
intelligence-based
divided
according
purpose
study
into
deep
learning
methods
applied
diagnosing
smart
devices
daily
Finally,
summary
given
directions
which
intelligence
may
be
able
assist
future.
In
addition,
this
overview
provides
some
knowledge
about
beginners.
We
hope
will
inspire
future
subjects.
.
Systems,
Journal Year:
2023,
Volume and Issue:
11(10), P. 519 - 519
Published: Oct. 17, 2023
Artificial
intelligence
(AI)
has
significantly
impacted
thyroid
cancer
diagnosis
in
recent
years,
offering
advanced
tools
and
methodologies
that
promise
to
revolutionize
patient
outcomes.
This
review
provides
an
exhaustive
overview
of
the
contemporary
frameworks
employed
field,
focusing
on
objective
AI-driven
analysis
dissecting
across
supervised,
unsupervised,
ensemble
learning.
Specifically,
we
delve
into
techniques
such
as
deep
learning,
artificial
neural
networks,
traditional
classification,
probabilistic
models
(PMs)
under
supervised
With
its
prowess
clustering
dimensionality
reduction,
unsupervised
learning
(USL)
is
explored
alongside
methods,
including
bagging
potent
boosting
algorithms.
The
datasets
(TCDs)
are
integral
our
discussion,
shedding
light
vital
features
elucidating
feature
selection
extraction
critical
for
diagnostic
systems.
We
lay
out
standard
assessment
criteria
regression,
statistical,
computer
vision,
ranking
metrics,
punctuating
discourse
with
a
real-world
example
detection
using
AI.
Additionally,
this
study
culminates
analysis,
current
limitations
delineating
path
forward
by
highlighting
open
challenges
prospective
research
avenues.
Through
comprehensive
exploration,
aim
offer
readers
panoramic
view
AI’s
transformative
role
diagnosis,
underscoring
potential
pointing
toward
optimistic
future.
Artificial Intelligence Review,
Journal Year:
2023,
Volume and Issue:
56(10), P. 11635 - 11674
Published: March 13, 2023
Abstract
Climate
change
has
become
a
major
problem
for
humanity
in
the
last
two
decades.
One
of
reasons
that
caused
it,
is
our
daily
energy
waste.
People
consume
electricity
order
to
use
home/work
appliances
and
devices
also
reach
certain
levels
comfort
while
working
or
being
at
home.
However,
even
though
environmental
impact
this
behavior
not
immediately
observed,
it
leads
increased
CO2
emissions
coming
from
generation
power
plants.
It
been
shown
about
40%
these
come
consumption
20%
percentage
could
have
saved
if
we
started
using
more
efficiently.
Confronting
such
efficiently
will
affect
both
environment
society.
Monitoring
real-time,
changing
wastage
occupants
automations
with
incorporated
savings
scenarios,
are
ways
decrease
global
footprint.
In
review,
study
intelligent
systems
management
residential,
commercial
educational
buildings,
classifying
them
categories
depending
on
whether
they
provide
direct
indirect
control.
The
article
discusses
what
strengths
weaknesses
are,
which
optimization
techniques
do
finally,
insights
how
can
be
improved
future.
