To
account
for
the
effects
of
surface
water
reflection
and
building
diffraction
on
LOS
NLOS
transmission
in
UWSN
spectrum
urban
water-land
settings,
this
research
presents
a
route
loss
model.
Extensive
measurements
are
taken
at
28
GHz
pond
university
campus.
We
also
do
thorough
analysis
other
channel
characteristics,
not
only
power
delay
profiles
rootmean-square
spread.
Results
show
that
networks
may
be
reliably
predicted
using
suggested
This
might
utilized
to
better
install
wireless
land
environments.
Frontiers in Big Data,
Journal Year:
2023,
Volume and Issue:
6
Published: Oct. 5, 2023
This
research
addresses
the
demanding
need
for
in
healthcare
analytics,
by
explaining
how
previous
studies
have
used
big
data,
AI,
and
machine
learning
to
identify,
address,
or
solve
problems.
Healthcare
science
methods
are
combined
with
contemporary
data
techniques
examine
literature,
identify
gaps,
propose
a
agenda
researchers,
academic
institutions,
governmental
organizations.
The
study
contributes
body
of
literature
providing
state-of-the-art
review
analytics
as
well
proposing
advance
knowledge
this
area.
results
can
be
beneficial
both
researchers
practitioners
field.
Engineering Research Express,
Journal Year:
2024,
Volume and Issue:
6(3), P. 035322 - 035322
Published: Aug. 23, 2024
Abstract
Sensor
technology
advancements
have
provided
the
platform
to
implement
wireless
body
area
networks,
thanks
nanosized
sensor
units
capable
of
sensing,
aggregating,
and
forwarding
physiological
information.
The
collected
information
is
routed
desired
destination
unit
for
data
analysis
decision-making
in
remote
healthcare.
However,
improving
energy
utilization
remains
a
brain-teasing
problem
research
community,
especially
considering
imbalanced
consumption
postural
movements.
Mobility
contributes
disconnectivity
issues,
high
drainage,
retransmission
delays.
In
addition,
node’s
thermal
level
also
poses
challenge
maintaining
safer
reliable
transmission.
To
overcome
these
novel
Temperature
Sensitive
Energy-Efficient
Routing
¬(MTS-EER)
algorithm
has
been
proposed
that
includes
two-step
process.
step
1,
an
Intelligent
Path
Estimation
Function
(IPEF)
designed
sensor’s
mobility,
temperature,
level.
IPEF
depends
on
crucial
parameters
i.e.:
-
residual
energy,
signal-to-noise
ratio
(SNR),
distance,
total
most
importantly
temperature
unit.
node
with
least
selected
as
Cluster
Head
(CH).
2,
optimized
sustainable
conservation
model
(OSECM)
implemented
based
Adaptive
Transmission
Power
(ATP)
Management
Module
(PMM).
ATP
conserves
via
intelligently
varying
transmission
power
PMM
manages
sleep
pattern
nodes
yield
network
lifetime
efficient
utilization.
clustering
approach
dual
sink
conserve
improve
reliability.
Finally,
results
are
compared
recent
state-of-the-art
work.
provides
better
throughput,
lifetime,
end-to-end
delay.
Scientific Reports,
Journal Year:
2024,
Volume and Issue:
14(1)
Published: Nov. 28, 2024
This
work
aims
to
comprehensively
explore
the
influencing
factors
of
aerobics
athletes'
performance
by
integrating
sports
nutrition
assistance
and
artificial
intelligence
neural
networks.
First,
a
personalized
assessment
analysis
nutritional
needs
are
conducted,
collecting
various
data
including
fitness
tests,
physiological
monitoring,
surveys
establish
model
for
athletes.
In
order
gain
more
comprehensive
understanding
characteristics
requirements
aerobic
athletes,
exercise
integrated
with
data,
deep
learning
is
performed
using
network
algorithms.
Moreover,
in
terms
technology,
optimization
algorithms
such
as
ShuffleNet
V3
Inception
employed
based
on
complexity
exercise.
Besides,
channel
attention
mechanism
introduced
enhance
model's
recognition
accuracy.
Lastly,
V3-based
classification
proposed.
It
achieves
accurate
nutrition,
V3,
mechanisms.
The
results
reveal
that
this
outperforms
Convolutional
Neural
Network
(CNN)
baseline
algorithm
accuracy
F1
score.
On
MultiSports
dataset,
proposed
an
95.11%,
surpassing
other
models
2.66%.
self-built
reaches
96.73%,
outperforming
2.56%.
indicates
demonstrates
significant
movement
assistance,
contributing
intersection
science
research.
Accessing
everything
remotely
has
become
necessity
as
well
comfort
of
everyone
in
this
technology
advanced
world.
Monitoring
health
a
person
also
been
the
requirement
with
increase
ageing
population.
Wireless
Body
Area
Networks
(WBAN)
have
proved
to
be
most
efficient
solution
problem.
WBAN
are
short
range
communication
network
that
include
sensor
nodes
attached
or
implanted
human
body
capturing
vital
signs
further
used
decision
making
application.
The
applications
widespread
from
remote
monitoring
patients
healthcare
sector
assessing
fatigue
soldier
at
war
front.
Consequently,
procedures
and
protocols
by
reliable.
However,
there
several
challenges
faced
successful
real
time
implementation
devices
it
limited
energy
cope
up
movements
activities
body.
With
intention
gain
insights
into
these
special
networks,
manuscript
presents
comprehensive
overview
key
principals,
routing
WBAN.
Also,
existing
analysed
respect
consumption,
packet
delivery
ratio,
average
delay,
efficiency
rise
temperature
parameters.
Analysis
led
inference
very
few
can
achieve
Thus,
paving
path
for
investigation
healthier
world
wherein
people
proactively
decide
upon
their
conditions.
To
account
for
the
effects
of
surface
water
reflection
and
building
diffraction
on
LOS
NLOS
transmission
in
UWSN
spectrum
urban
water-land
settings,
this
research
presents
a
route
loss
model.
Extensive
measurements
are
taken
at
28
GHz
pond
university
campus.
We
also
do
thorough
analysis
other
channel
characteristics,
not
only
power
delay
profiles
rootmean-square
spread.
Results
show
that
networks
may
be
reliably
predicted
using
suggested
This
might
utilized
to
better
install
wireless
land
environments.
