International Journal of e-Collaboration,
Journal Year:
2024,
Volume and Issue:
20(1), P. 1 - 16
Published: May 17, 2024
This
paper
proposes
a
neural
network
model
based
on
deep
learning,
which
can
better
analyze
the
impact
of
short
video
live
broadcast
sports
machinery
and
equipment.
Firstly,
this
U-Net-based
convolutional
as
backbone
paper,
mainly
realizes
sales.
Secondly,
dense
residual
module
Transformer
lightweight
module,
effectively
improve
global
modeling
ability
prediction
accuracy
model.
Finally,
through
large
number
experiments,
it
is
proved
that
U-Net
proposed
in
be
used
for
task
sales
equipment,
achieves
reasoning
speed.
Nanotechnology Perceptions,
Journal Year:
2024,
Volume and Issue:
unknown, P. 676 - 689
Published: Dec. 1, 2024
This
research
focuses
on
how
5G
and
beyond
technologies
might
be
the
game
changers
in
reliability,
low
latency,
efficiency,
improvement
of
IoT
autonomous
systems,
such
as
electric
vehicles.
It
addresses
advancements
6G-based
communication
networks
integrated
with
machine
learning
edge
computing
to
enhance
vehicle
performance,
energy
management,
vehicle-to-infrastructure
(V2I)
communication.
Extensive
experimentation
conducted
greatly
led
discovery
important
improvements
response
time.
Latency
was
reduced
by
much
45
per
cent
when
compared
4G
networks,
this
meant
that
6G
enabled
potential
increases
up
60
over
data
throughput
reliability
high-density
environments.
In
addition
that,
AI
application
towards
predictive
maintenance
battery
optimization
an
increase
30
for
applications
intelligence
a
more
sustainable
EV
system.
The
results
further
reveal
promise
AI-based
security
ML-based
25%
reduction
network
vulnerabilities
traditional
protocols.
inform
transformative
capability
next
generations
fulfil
their
scope
remodelling
future
vehicles
systems.
Future
will
focus
overcoming
present
infrastructure
deficiencies
improving
algorithms
behind
real-time
decision-making
processes
support
scalable,
energy-efficient,
secure
ecosystems.
International Journal of e-Collaboration,
Journal Year:
2024,
Volume and Issue:
20(1), P. 1 - 16
Published: May 17, 2024
This
paper
proposes
a
neural
network
model
based
on
deep
learning,
which
can
better
analyze
the
impact
of
short
video
live
broadcast
sports
machinery
and
equipment.
Firstly,
this
U-Net-based
convolutional
as
backbone
paper,
mainly
realizes
sales.
Secondly,
dense
residual
module
Transformer
lightweight
module,
effectively
improve
global
modeling
ability
prediction
accuracy
model.
Finally,
through
large
number
experiments,
it
is
proved
that
U-Net
proposed
in
be
used
for
task
sales
equipment,
achieves
reasoning
speed.
