Wireless
personal
sensor
networks
(WPSNs)
are
an
emerging
technology
that
provides
a
platform
for
monitoring
and
collecting
data
from
variety
of
sources.
These
used
to
monitor
environmental,
health,
even
lifestyle
factors.
As
the
use
WPSNs
continues
grow,
it
is
important
consider
security
implications
using
these
networks.
rely
on
technologies
ensure
secure
communication
between
devices.
include
encryption,
authentication,
protocols,
key
management.
Encryption
protect
being
intercepted
decoded
by
unauthorized
user.
Authentication
verify
personality
user
device
attempting
access
WPSN.
Secure
protocols
devices
server.
Finally,
management
manage
store
encryption
keys
data.
In
addition
must
also
be
designed
with
robust
control
system.
Access
systems
limit
WPSN
based
credentials
other
This
assist
authorized
users
alone
can
stored
Deleted Journal,
Journal Year:
2023,
Volume and Issue:
1(1), P. 22 - 29
Published: Jan. 1, 2023
Currently,
studies
have
shown
that
one
in
three
people
infected
with
coronavirus
disease-19
(COVID-19)
is
likely
to
had
long-term
exposure
COVID-19,
known
as
COVID-19.
Clinical
indicate
many
the
severe
acute
respiratory
syndrome
Coronavirus-2
(SARS-CoV-2)
COVID-19
pandemic
exposure.
According
study,
it
has
been
said
diabetes
and
obesity,
who
received
organ
transplants,
are
more
suffer
from
this
effect
of
In
article,
effects
on
neurological
disability
patients
analyzed
help
a
neuromachine
learning
model.
The
proposed
model
also
shows
COVID
problem
does
not
depend
factors
such
race,
age,
gender,
socioeconomic
status
those
people.
model,
suffering
problems
continue
physical
fatigue
shortness
breath
regularly
monitored
classified
per
instructions.
Even
after
they
recover
disease,
various
side
seen.
Biomolecules,
Journal Year:
2024,
Volume and Issue:
14(7), P. 835 - 835
Published: July 11, 2024
Long
COVID,
a
name
often
given
to
the
persistent
symptoms
following
acute
SARS-CoV-2
infection,
poses
multifaceted
challenge
for
health.
This
review
explores
intrinsic
relationship
between
comorbidities
and
autoimmune
responses
in
shaping
trajectory
of
long
COVID.
Autoantibodies
have
emerged
as
significant
players
COVID-19
pathophysiology,
with
implications
disease
severity
progression.
Studies
show
immune
dysregulation
persisting
months
after
marked
by
activated
innate
cells
high
cytokine
levels.
The
presence
autoantibodies
against
various
autoantigens
suggests
their
potential
comorbid
factors
Additionally,
formation
complexes
may
lead
severe
progression,
highlighting
urgency
early
detection
intervention.
Furthermore,
COVID
is
highly
linked
cardiovascular
complications
neurological
symptoms,
posing
challenges
diagnosis
management.
Multidisciplinary
approaches,
including
vaccination,
tailored
rehabilitation,
pharmacological
interventions,
are
used
mitigating
COVID’s
burden.
However,
numerous
persist,
from
evolving
diagnostic
criteria
addressing
psychosocial
impact
predicting
outcomes.
Leveraging
AI-based
applications
holds
promise
enhancing
patient
management
improving
our
understanding
As
research
continues
unfold,
unravelling
complexities
remains
paramount
effective
intervention
care.
In
the
era
of
cloud
networking,
database
protection
is
a
problem
that
becoming
more
and
crucial,
blockchain
technology
emerging
as
potent
remedy.
Blockchain
digital
ledger
uses
an
immutable,
distributed,
decentralized
record
transactions
to
build
secure,
transparent,
auditable
data
system.
The
integrity
saved
in
further
ensured
by
using
technology.
By
cryptographic
hashes,
stored
on
can
be
verified
for
accuracy
authenticity.
This
means
any
changes
or
modifications
will
detected
addressed.
Furthermore,
provides
permanent
immutable
transactions,
making
it
difficult
tampered
with
corrupted.
addition
its
security
benefits,
also
offers
scalability,
efficiency,
cost
savings.
Blockchain-based
databases
are
much
efficient
than
traditional
databases,
they
require
fewer
resources
able
process
larger
volume
transactions.
since
decentralized,
work
across
multiple
devices
networks,
allowing
cost-effective
solution.
The
Differential
Unit
Tests
Based
Smart
Industrial
Automation
Software
Debugging
Tool
is
a
new
and
powerful
tool
designed
to
make
debugging
industrial
automation
software
easier
faster.
It
uses
combination
of
differential
unit
tests,
engine,
graphical
user
interface
(GUI)
help
developers
quickly
locate
fix
bugs
in
their
software.
tests
are
type
test
that
compares
the
differences
between
two
versions
same
They
can
identify
any
subtle
changes
may
have
occurred
since
last
version
was
tested.
This
especially
useful
when
software,
which
often
contains
complex
logic
calculations
be
difficult
trace.
engine
core
responsible
for
analyzing
results
tests.
variety
algorithms
potential
errors
or
discrepancies.
also
providing
feedback
so
they
issues.
GUI
provides
with
an
easy
way
view
interact
allows
problems
necessary
changes.
The
Neuro
Controller
is
an
innovative
piece
of
industrial
instrumentation
designed
to
monitor
conditions
in
smart
settings.
It
a
powerful
and
versatile
controller
that
can
be
used
monitor,
control,
manage
processes.
equipped
with
advanced
sensors
actuators,
enabling
it
accurately
measure
control
variety
conditions.
able
temperature,
pressure,
humidity,
flow,
other
parameters
setting.
also
capable
detecting
changes
these
parameters,
allowing
respond
quickly
accurately.
uses
algorithms
analyze
data
make
decisions,
optimize
processes
efficiently.
Additionally,
the
integrate
from
numerous
sources,
providing
comprehensive
view
process.
In
this
paper,
for
Condition
Monitoring
instrumentation.
provide
enhanced
safety
efficiency
potentially
hazardous
alerting
personnel
take
action.
automate
processes,
reducing
risk
accidents
improving
process
efficiency.
The
Fault
Tolerant
Area
Monitoring
for
Sensor
Network
is
a
technology
that
helps
to
monitor
areas
faults
may
occur
due
environmental
changes.
It
system
uses
sensors
an
area
any
occur.
This
has
been
developed
help
detect
in
and
can
be
used
such
as
factories,
hospitals,
other
places
where
changes
able
the
environment
then
alert
staff
of
potential
faults.
Energy
efficient
sensor
networks
have
emerged
major
research
recent
years,
increasing
demand
energy
solutions
face
global
climate
change.
are
composed
variety
nodes,
connected
together
wirelessly,
collect
data
from
transmit
it
central
processing
unit.
changes,
order
optimize
consumption
reduce
greenhouse
gas
emissions.
In
achieve
this
goal,
must
designed
way
minimizes
power
while
still
providing
reliable
data.
Industrial
Wireless
Sensor
Networks
(IWSNs)
are
a
type
of
ubiquitous
computing
technology
that
is
increasingly
being
used
in
industrial
settings.
They
consist
network
wireless
sensors
monitor
and
collect
data
from
physical
environments.
This
then
transmitted
to
central
location
for
analysis
can
be
variety
purposes,
such
as
controlling
machinery,
tracking
assets,
automating
processes.
IWSNs
offer
number
advantages
over
traditional
wired
sensor
networks,
including
greater
flexibility
scalability,
lower
installation
maintenance
costs,
the
ability
multiple
locations
simultaneously.
However,
one
biggest
challenges
their
limited
lifetime.
The
batteries
power
need
replaced
regularly,
which
costly
time-consuming.
In
order
improve
lifetime
IWSNs,
researchers
have
developed
various
techniques
technologies.
These
include
energy-efficient
protocols,
energy
harvesting
techniques,
use
renewable
sources.
Energy-efficient
protocols
reduce
amount
consumed
by
sensors,
while
enable
them
ambient
sources
(e.g.,
sunlight,
vibration,
temperature
differences)
recharge
batteries.
Renewable
sources,
solar
panels,
also
provide
reliable
cost-effective
supply.
Network Computation in Neural Systems,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 32
Published: May 16, 2024
One
of
the
most
used
diagnostic
imaging
techniques
for
identifying
a
variety
lung
and
bone-related
conditions
is
chest
X-ray.
Recent
developments
in
deep
learning
have
demonstrated
several
successful
cases
illness
diagnosis
from
X-rays.
However,
issues
stability
class
imbalance
still
need
to
be
resolved.
Hence
this
manuscript,
multi-class
disease
classification
x-ray
images
using
hybrid
manta-ray
foraging
volcano
eruption
algorithm
boosted
multilayer
perceptron
neural
network
approach
proposed
(MPNN-Hyb-MRF-VEA).
Initially,
input
X-ray
are
taken
Covid-Chest
dataset.
Anisotropic
diffusion
Kuwahara
filtering
(ADKF)
enhance
quality
these
lower
noise.
To
capture
significant
discriminative
features,
Term
frequency-inverse
document
frequency
(TF-IDF)
based
feature
extraction
method
utilized
case.
The
Multilayer
Perceptron
Neural
Network
(MPNN)
serves
as
model
disorders
COVID-19,
pneumonia,
tuberculosis
(TB),
normal.
A
Hybrid
Manta-Ray
Foraging
Volcano
Eruption
Algorithm
(Hyb-MRF-VEA)
introduced
further
optimize
fine-tune
MPNN's
parameters.
Python
platform
accurately
evaluate
methodology.
performance
provides
23.21%,
12.09%,
5.66%
higher
accuracy
compared
with
existing
methods
like
NFM,
SVM,
CNN
respectively.
The
dynamic
window-based
scheduling
is
a
popular
algorithm
used
to
manage
system
resources
efficiently.
It
in
many
different
types
of
systems
including
distributed
systems,
embedded
and
real-time
systems.
This
works
by
assigning
window
time
process
or
task.
then
moved
through
the
system,
allowing
each
task
use
that
it
needs
within
window.
advantageous
because
allows
By
task,
can
ensure
has
an
equal
amount
execute.
also
prioritize
tasks,
so
processes
tasks
have
higher
priority
will
larger
resources.
Another
advantage
help
reduce
latency
improve
performance.
able
execute
reduces
improves
performance
minimizing
are
waiting
for
Furthermore,
scalability.
The
Artificial
Intelligence
(AI)
based
innovation
detection
model
for
complex
data
communication
is
a
revolutionary
approach
to
identifying
and
exploiting
opportunities
in
systems.
This
on
the
principle
of
AI-assisted
mining,
which
allows
automated
patterns
correlations
sets.
By
applying
AI-based
algorithms,
this
can
identify
or
relationships
between
elements
large
sets
may
not
be
obvious
human
analysts.
designed
help
organizations
areas
they
capitalize
innovation.
data-driven
variables
such
as
customer
behavior,
product
performance,
market
trends.
leveraging
insights,
create
new
products
services
that
are
tailored
their
customer's
needs
desires.
used
variety
industries.
For
example,
potential
development
healthcare
sector.
analyzing
patient
records,
algorithms
uncover
different
types
Additionally,
also
retail
sector
developing
more
