Human computer interaction.,
Journal Year:
2024,
Volume and Issue:
8(1), P. 169 - 169
Published: Dec. 26, 2024
Big
Data
Analytics
has
revolutionized
real-time
marketing
by
enabling
organizations
to
process
vast
amounts
of
data
deliver
personalized
and
timely
customer
experiences.
This
research
explores
the
opportunities
provided
in
transforming
strategies,
such
as
enhanced
segmentation,
predictive
analytics
for
targeted
campaigns,
dynamic
content
delivery.
It
highlights
how
processing
facilitates
agile
decision-making,
allowing
businesses
adapt
rapidly
changing
market
conditions.
Simultaneously,
study
addresses
challenges
Analytics,
including
privacy
concerns,
integration
diverse
sources,
complexities
algorithmic
biases.
By
analyzing
case
studies
emerging
trends,
underscores
critical
role
fostering
innovation
while
proposing
actionable
solutions
overcome
its
limitations.
The
findings
demonstrate
that
effective
utilization
can
empower
stay
competitive
fast-paced
digital
landscape.
Technologies,
Journal Year:
2025,
Volume and Issue:
13(1), P. 23 - 23
Published: Jan. 6, 2025
Background:
Blockchain
technology
can
transform
military
operations,
increasing
security
and
transparency
gaining
efficiency.
It
addresses
many
problems
related
to
data
security,
privacy,
communication,
supply
chain
management.
The
most
researched
aspects
are
its
integration
with
emerging
technologies,
such
as
artificial
intelligence,
the
IoT,
application
in
uncrewed
aerial
vehicles,
secure
communications.
Methods:
A
systematic
review
of
43
peer-reviewed
articles
was
performed
discover
applications
blockchain
defense.
Key
areas
analyzed
include
role
securing
communications,
fostering
transparency,
promoting
real-time
sharing,
using
smart
contracts
for
maintenance
Challenges
were
assessed,
including
scalability,
interoperability,
legacy
system,
alongside
possible
solutions,
sharding
optimized
consensus
mechanisms.
Results:
In
case
blockchain,
great
potential
benefits
shown
enhancing
immutable
record
keeping,
IoT
AI.
Smart
resource
allocation
reduced
procedures.
However,
challenges
remain,
high
energy
requirements.
Proposed
like
hybrid
architecture,
show
promise
address
these
issues.
Conclusions:
is
set
revolutionize
efficiency
military.
Its
enormous,
but
it
must
overcome
Further
research
strategic
adoption
will
thus
allow
become
one
cornerstones
future
operations.
Information,
Journal Year:
2024,
Volume and Issue:
15(8), P. 450 - 450
Published: July 30, 2024
The
mode
is
a
fundamental
descriptive
statistic
in
data
analysis,
signifying
the
most
frequent
element
within
dataset.
range
query
(RMQ)
problem
expands
upon
this
concept
by
preprocessing
an
array
A
containing
n
natural
numbers.
This
allows
for
swift
determination
of
any
subarray
A[a..b],
thus
optimizing
computation
multitude
queries.
efficacy
process
bears
considerable
importance
analytics
and
retrieval
across
diverse
platforms,
including
but
not
limited
to
online
shopping
experiences
financial
auditing
systems.
study
dedicated
exploring
benchmarking
different
algorithms
structures
designed
tackle
RMQ
problem.
goal
only
address
theoretical
aspects
also
provide
practical
solutions
that
can
be
applied
real-world
scenarios,
such
as
optimization
platform’s
understanding
customer
preferences,
enhancing
efficiency
effectiveness
large
datasets.
Applied Sciences,
Journal Year:
2024,
Volume and Issue:
14(16), P. 7007 - 7007
Published: Aug. 9, 2024
Big
data
and
blockchain
technology
are
coming
together
to
revolutionize
how
decisions
made
in
a
decentralized
way
across
various
industries.
This
review
looks
at
these
technologies,
along
with
distributed
systems,
can
improve
security,
transparency,
real-time
processing,
making
decision-making
more
efficient
informed.
The
integration
enhances
security
unchangeable
records,
increases
transparency
traceability,
supports
analysis.
However,
there
challenges
overcome,
including
scalability,
privacy,
interoperability,
regulatory
compliance,
high
costs.
By
examining
case
studies
such
as
Estonia’s
healthcare
system,
IBM
Walmart’s
Food
Trust,
the
Brooklyn
Microgrid
project,
we
explore
practical
applications
benefits
of
combining
big
blockchain.
Despite
hurdles,
finds
that
ongoing
advancements
innovative
solutions
technologies
offer
significant
promise.
They
set
drive
adoption
effectiveness
decision-making,
ultimately
leading
better
efficiency
outcomes
multiple
sectors.
Big
Data
and
blockchain
technology
are
coming
together
to
revolutionize
how
decisions
made
in
a
decentralized
way
across
various
industries.
This
review
looks
at
these
technologies,
along
with
distributed
systems,
can
improve
data
security,
transparency,
real-time
processing,
making
decision-making
more
efficient
informed.
The
integration
enhances
security
unchangeable
records,
increases
transparency
traceability,
supports
analysis.
However,
there
challenges
overcome,
including
scalability,
privacy,
interoperability,
regulatory
compliance,
high
costs.
By
examining
case
studies
such
as
Estonia's
healthcare
system,
IBM
Walmart's
Food
Trust,
the
Brooklyn
Microgrid
project,
we
explore
practical
applications
benefits
of
combining
blockchain.
Despite
hurdles,
finds
that
ongoing
advancements
innovative
solutions
technologies
offer
significant
promise.
They
set
drive
adoption
effectiveness
decision-making,
ultimately
leading
better
efficiency
outcomes
multiple
sectors.
Technium Social Sciences Journal,
Journal Year:
2025,
Volume and Issue:
67, P. 219 - 233
Published: Jan. 8, 2025
This
paper
approaches
the
intersection
of
emotional
neuroscience
with
academic
achievement,
placing
a
strong
emphasis
on
critical
role
emotions
play
in
learning.
It
challenges
traditional
view
education
and
points
out
need
for
understanding
measuring
biology
creating
brain-friendly
learning
environments.
Combining
theoretical
frameworks,
discussion
draws
link
between
success
by
highlighting
neurobiological
foundations,
regulation,
stress,
anxiety,
neuroplasticity.
Most
importantly,
it
explains
intelligence
how
this
ability
creates
positive
impact
cognitive
functioning
outcomes.
pushes
issue
multidimensionality
neuroscientific
knowledge
to
nurture
well-being
bring
about
greater
achievement.
reflects
innovative
interventions
leading-edge
innovations
that
can
shape
schools
into
emotionally
supportive
The
conclusion
calls
interdisciplinary
collaboration
change
educational
practices.
supports
its
arguments
an
extensive
bibliography
areas
neuroscience,
intelligence,
mental
health
research.
Electronics,
Journal Year:
2025,
Volume and Issue:
14(3), P. 571 - 571
Published: Jan. 31, 2025
Statistical
methods
are
crucial
for
a
wide
range
of
analytical
processes,
from
exploration
and
explanation
to
prediction
inference.
Over
the
years,
there
has
been
major
shift
towards
machine
learning
artificial
intelligence
techniques
due
their
powerful
capability
in
complex
relationships
between
data.
However,
is
disadvantage
with
these
technologies
that
mechanisms
explain
associations
model’s
input
features
its
output
decision-making
far
fewer
than
statistics.
This
lack
transparency
among
reasons
prevent
being
more
widely
utilized
numerous
application
domains.
Beyond
inexplicability,
effectively
statistically
assessing
feature
significance,
such
as
parsimony
or
complexity–performance
tradeoff,
further
limits
users’
control
over
models.
With
motivation,
we
proposing
target
permutation
process
determination
statistical
importance
differentiable
models
neural
networks.
Compared
current
literature,
switch
allows
assessment
all
simultaneously
test
results
strengthened
p-value
each
feature.
In
addition,
our
does
not
require
assumption
independence
inputs,
prevalent
other
works.
Lastly,
empirically
show
can
identify
highly
nonlinear
while
resilient
multicollinearity.
The
marked
insignificant
be
removed
minimal
impact,
even
result
improved
predictive
performance.
ACM Computing Surveys,
Journal Year:
2025,
Volume and Issue:
57(8), P. 1 - 33
Published: Feb. 15, 2025
Modern
computing
devices
generate
vast
amounts
of
diverse
data.
It
means
that
a
fast
transition
through
various
leads
to
big
data
production.
Big
with
high
velocity,
volume,
and
variety
presents
challenges
like
inconsistency,
scalability,
real-time
analysis,
tool
selection.
Although
numerous
solutions
have
been
proposed
for
processing,
they
are
often
limited
in
scope
effectiveness.
This
survey
aims
address
the
lack
comprehensive
analysis
relation
machine
learning
(ML)
Internet
Things
(IoT)
environments,
particularly
concerning
7Vs
emphasizes
significance
selecting
suitable
tools
each
unique
characteristic,
providing
structured
approach
manage
these
effectively.
The
article
systematically
reviews
characteristics
associated
techniques,
detailed
discussion
their
applications.
Additionally,
it
analyzes
existing
ML
methods
techniques
IoT
analytics
contexts.
Through
systematic
literature
review
(SLR),
we
examine
key
aspects,
including
core
concepts,
benefits,
limitations,
impact
on
algorithms
analytics.
We
highlight
groundbreaking
studies
addressing
future
research
enhance
data-driven
