WSEAS TRANSACTIONS ON SYSTEMS,
Journal Year:
2024,
Volume and Issue:
23, P. 490 - 498
Published: Dec. 31, 2024
his
research
aims
to
design
a
decision
support
system
(DSS)
modeling
for
predicting
the
best
employees
in
Company.
This
will
use
SAW
(simple
additive
weighting)
method.
has
helped
facilitate
process
of
assessing
and
selecting
at
can
minimize
injustice
employees.
It
even
saves
an
HRD
manager's
time
determining
ranking
is
expected
provide
effective
efficient
solution
employee
candidates
who
deserve
rewards.
specific
this
case
study
not
necessarily
suitable
other
organizations
that
may
have
their
own
assessment
criteria
(apart
from
SMART:
Specific,
Measurable,
Achievable,
Relevant,
Timely.
Diagnostics,
Journal Year:
2025,
Volume and Issue:
15(3), P. 282 - 282
Published: Jan. 24, 2025
Humanity
stands
at
a
pivotal
moment
of
technological
revolution,
with
artificial
intelligence
(AI)
reshaping
fields
traditionally
reliant
on
human
cognitive
abilities.
This
transition,
driven
by
advancements
in
neural
networks,
has
transformed
data
processing
and
evaluation,
creating
opportunities
for
addressing
complex
time-consuming
tasks
AI
solutions.
Convolutional
networks
(CNNs)
the
adoption
GPU
technology
have
already
revolutionized
image
recognition
enhancing
computational
efficiency
accuracy.
In
radiology,
applications
are
particularly
valuable
involving
pattern
detection
classification;
example,
tools
enhanced
diagnostic
accuracy
detecting
abnormalities
across
imaging
modalities
through
automated
feature
extraction.
Our
analysis
reveals
that
neuroimaging
chest
imaging,
as
well
CT
MRI
modalities,
primary
focus
areas
products,
reflecting
their
high
clinical
demand
complexity.
also
used
to
target
high-prevalence
diseases,
such
lung
cancer,
stroke,
breast
underscoring
AI’s
alignment
impactful
needs.
The
regulatory
landscape
is
critical
factor
product
development,
majority
products
certified
under
Medical
Device
Directive
(MDD)
Regulation
(MDR)
Class
IIa
or
I
categories,
indicating
compliance
moderate-risk
standards.
A
rapid
increase
development
from
2017
2020,
peaking
2020
followed
recent
stabilization
saturation,
was
identified.
this
work,
authors
review
AI-based
applications,
transformative
potential
support
focusing
role
CNNs,
challenges,
threats
labor
field
imaging.
Energies,
Journal Year:
2024,
Volume and Issue:
17(17), P. 4501 - 4501
Published: Sept. 8, 2024
This
review
paper
thoroughly
explores
the
impact
of
artificial
intelligence
on
planning
and
operation
distributed
energy
systems
in
smart
grids.
With
rapid
advancement
techniques
such
as
machine
learning,
optimization,
cognitive
computing,
new
opportunities
are
emerging
to
enhance
efficiency
reliability
electrical
From
demand
generation
prediction
flow
optimization
load
management,
is
playing
a
pivotal
role
transformation
infrastructure.
delves
deeply
into
latest
advancements
specific
applications
within
context
systems,
including
coordination
resources,
integration
intermittent
renewable
energies,
enhancement
response.
Furthermore,
it
discusses
technical,
economic,
regulatory
challenges
associated
with
implementation
intelligence-based
solutions,
well
ethical
considerations
related
automation
autonomous
decision-making
sector.
comprehensive
analysis
provides
detailed
insight
how
reshaping
grids
highlights
future
research
development
areas
that
crucial
for
achieving
more
efficient,
sustainable,
resilient
system.
Applied Sciences,
Journal Year:
2025,
Volume and Issue:
15(2), P. 999 - 999
Published: Jan. 20, 2025
Global
warming
is
a
significant
threat
to
the
future
of
humankind.
It
caused
by
greenhouse
gases
that
accumulate
in
atmosphere.
CO2
emissions
are
one
main
drivers
global
warming,
and
energy
sector
contributors
emissions.
Recent
technological
advances
artificial
intelligence
(AI)
have
accelerated
adoption
AI
numerous
applications
solve
many
problems.
This
study
carries
out
scoping
review
understand
use
solutions
reduce
sector.
paper
follows
PRISMA-ScR
guidelines
reporting
findings.
The
academic
search
engine
Google
Scholar
was
utilized
find
papers
met
criteria.
Our
research
question
“How
used
emissions?”
Search
phrases
inclusion
criteria
were
decided
based
on
this
question.
In
total,
186
from
results
screened,
16
fitting
our
summarized
study.
findings
indicate
already
Three
areas
application
for
techniques
identified.
Firstly,
models
employed
directly
optimize
generation
processes
modeling
these
determining
their
optimal
parameters.
Secondly,
forecasting,
which
aids
optimizing
decision-making,
transmission,
production
planning.
Lastly,
applied
enhance
efficiency,
particularly
building
performance.
shows
promise
reducing
Journal of Workplace Learning,
Journal Year:
2025,
Volume and Issue:
unknown
Published: Jan. 29, 2025
Purpose
The
purpose
of
this
study
was
to
explore
employees’
perceptions
and
firsthand
experiences
the
impact
generative
artificial
intelligence
(AI)
productivity
tools,
specifically
Microsoft
365
Copilot,
on
individual
collective
learning
processes
within
a
multinational
corporation.
In
doing
so,
provides
insights
into
how
these
tools
can
shape
workplace
dynamics,
fostering
both
skill
development
collaborative
knowledge-sharing
practices.
Design/methodology/approach
authors
collected
responses
from
357
participants
through
survey
that
included
multiple-choice
open-ended
questions.
This
focuses
exclusively
qualitative
responses.
reflexive
thematic
analysis
method
used
capture
interpret
role
Copilot
–
AI-powered
assistant
integrated
suite
applications
(e.g.,
Word,
Excel,
PowerPoint,
Outlook,
Teams)
in
enhancing
their
work
opportunities
workplace.
Findings
results
highlight
four
key
themes
contributing
learning.
At
level,
Task
Support
illustrates
extent
which
AI
transform
practices
facilitate
formal
informal
pathways,
while
Meaningful
Work
underscores
tools’
foundational
knowledge
enriched
information.
organisational
culture
suggests
importance
supportive
environment
for
integration,
socialisation
highlights
its
influence
team
cohesion
essential
effective
collaboration
among
members.
Practical
implications
offer
actionable
organisations
integrating
Understanding
inform
design
targeted
training
programmes
promote
foster
sharing.
Furthermore,
positions
as
complementary
resource
improve
employee
engagement,
reduce
resistance
new
technologies
encourage
growth-oriented
mindset,
ultimately
driving
personal
development.
Originality/value
shifts
narrative
around
by
examining
enhance
at
levels,
rather
than
focusing
solely
potential
disrupt
displacement
automation.
By
positioning
AI-based
human
work,
approach
enablers
development,
sharing
job
enrichment,
more
adaptive
learning-oriented
environment.
International Journal of Scientific Research in Science and Technology,
Journal Year:
2025,
Volume and Issue:
12(1), P. 183 - 205
Published: Jan. 26, 2025
The
rapid
advancements
in
artificial
intelligence
(AI)
and
automation
are
transforming
post-harvest
technologies,
offering
innovative
solutions
to
improve
food
quality,
safety,
supply
chain
efficiency.
This
paper
reviews
the
role
of
AI-driven
innovations
processing
logistics,
with
a
focus
on
automation,
predictive
analytics,
quality
control.
AI
such
as
machine
learning,
computer
vision,
IoT
integration,
optimizing
processes
like
sorting,
grading,
packaging,
microbial
detection,
reducing
waste
extending
shelf
life.
Moreover,
AI-powered
robotics
smart
warehouses
streamlining
transportation
inventory
management,
enhancing
operational
integration
demand
forecasting
optimization
is
further
improving
traceability,
minimizing
disruptions,
environmental
impact.
Despite
promising
potential,
challenges
data
system
cost
barriers,
regulatory
concerns
remain.
future
technologies
presents
opportunities
for
continued
innovation,
deep
IoT,
global
scalability,
pathways
sustainable
systems.
concludes
by
discussing
impact
sector
its
potential
drive
more
efficient,
resilient,
chains
worldwide.
Revista Cientifica de Sistemas e Informatica,
Journal Year:
2025,
Volume and Issue:
5(1), P. e889 - e889
Published: Jan. 20, 2025
Este
estudio
analiza
la
aplicación
de
inteligencia
artificial
(IA)
en
gestión
del
talento
humano
y
el
conocimiento
organizacional
mediante
una
revisión
sistemática
50
artículos
científicos
indexados
Scopus.
Se
empleó
metodología
documental
con
criterios
selección
basados
relevancia
actualidad.
identificaron
las
principales
aplicaciones
IA
optimización
procesos
administrativos,
personalización
programas
formación
toma
decisiones
estratégicas
basadas
datos.
Entre
los
enfoques
analizados
destacan
aprendizaje
automático,
minería
datos
sistemas
expertos,
cuales
han
mejorado
evaluación
desempeño,
personal
conocimiento.
Los
resultados
evidencian
que
ha
incrementado
eficiencia
talento,
aunque
persisten
desafíos
como
calidad
datos,
resistencia
sesgos
algoritmos
selección.
concluye
adopción
recursos
humanos
sigue
crecimiento,
promoviendo
modelos
más
adaptativos.
Sin
embargo,
es
necesario
abordar
sus
limitaciones
marcos
normativos
estrategias
supervisión
garanticen
implementación
ética,
equitativa
alineada
objetivos
organizacionales.
