Computer Science & IT Research Journal,
Год журнала:
2024,
Номер
5(5), С. 1113 - 1125
Опубликована: Май 5, 2024
Epidemic
forecasting
plays
a
critical
role
in
public
health
preparedness
and
response,
enabling
proactive
measures
to
mitigate
the
impact
of
infectious
diseases.
Environmental
data,
encompassing
factors
such
as
temperature,
humidity,
air
quality,
geographical
features,
holds
valuable
insights
for
predicting
identifying
areas
prone
epidemics.
This
paper
explores
integration
predictive
analytics
with
environmental
data
enhance
epidemic
capabilities.
By
leveraging
techniques,
researchers
officials
can
analyze
identify
regions
at
higher
risk
experiencing
outbreaks.
Through
statistical
modeling,
machine
learning
algorithms,
computational
simulations,
utilize
indicators
forecast
likelihood
spread
For
example,
high
temperatures
humidity
may
be
conducive
mosquito-borne
diseases,
while
poor
quality
experience
increased
rates
respiratory
infections.
Case
studies
highlight
application
various
contexts,
including
diseases
tropical
tracking
infections
urban
quality.
Early
warning
systems,
informed
by
provide
timely
alerts
potential
threats,
interventions
resource
allocation.
While
into
offers
significant
benefits,
challenges
remain,
availability,
ethical
considerations.
Continued
research
collaboration
are
essential
address
these
further
effectiveness
mitigating
risks.
In
conclusion,
this
underscores
importance
forecasting,
emphasizing
their
improve
outcomes
efforts
face
emerging
climate
change.
Keywords:
Data,
Forecasting,
Predictive
Analytics.
International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(5), С. 1441 - 1456
Опубликована: Май 4, 2024
Entrepreneurial
leadership
plays
a
pivotal
role
in
the
success
of
startups
and
small
to
medium-sized
enterprises
(SMEs)
by
guiding
them
through
turbulent
waters
innovation,
risk,
growth.
This
review
explores
critical
lessons
learned
from
experiences
entrepreneurial
leaders
building
sustaining
growth
within
these
dynamic
organizations.
In
today's
competitive
business
landscape,
SMEs
face
unique
challenges,
including
limited
resources,
intense
competition,
rapid
market
changes.
Effective
entails
visionary
mindset,
willingness
take
calculated
risks,
an
ability
adapt
evolving
circumstances.
delves
into
fundamental
elements
leadership,
such
as
vision
setting,
adaptability,
team
building,
decision-making,
which
are
essential
for
navigating
complexities
startup
SME
environment.
Furthermore,
examines
strategies
growth,
scalability,
financial
management,
marketing,
customer
acquisition,
strategic
partnerships.
Through
case
studies
practical
examples,
it
illustrates
how
successful
have
implemented
overcome
challenges
achieve
sustainable
Despite
their
potential
success,
also
numerous
regulatory
hurdles,
technological
disruptions,
globalization.
By
understanding
embracing
emerging
trends,
can
position
organizations
long-term
ever-changing
landscape.
conclusion,
this
underscores
importance
driving
innovation
SMEs.
learning
past
principles
aspiring
chart
course
towards
world
entrepreneurship.
Keywords:
Leadership,
Startups,
SMEs,
Sustaining
Growth.
International Journal of Frontiers in Engineering and Technology Research,
Год журнала:
2024,
Номер
6(2), С. 071 - 081
Опубликована: Май 5, 2024
In
today's
hyper-competitive
business
landscape,
leveraging
data-driven
strategies
is
paramount
for
sustainable
growth
and
profitability.
This
review
presents
an
overview
of
the
imperative
role
predictive
analytics
in
facilitating
expansion
by
enhancing
profitability
identifying
opportunities.
Predictive
harnesses
historical
data
advanced
modeling
techniques
to
forecast
future
trends,
enabling
businesses
make
informed
decisions
with
precision.
By
understanding
analytics,
can
effectively
identify
opportunities
analyzing
market
segmenting
customer
bases,
uncovering
new
markets
niches.
Moreover,
empowers
organizations
enhance
through
optimized
pricing
strategies,
demand
forecasting,
personalized
marketing
initiatives
tailored
preferences
behaviors.
Implementing
requires
building
a
robust
infrastructure,
selecting
appropriate
tools
technologies,
fostering
culture
within
organization.
Real-world
case
studies
illustrate
transformative
impact
on
expansion,
offering
insights
into
best
practices
lessons
learned.
Despite
undeniable
benefits
challenges
such
as
privacy
concerns,
ensuring
quality,
organizational
resistance
must
be
addressed.
However,
rewards
embracing
decision-making
far
outweigh
challenges,
positioning
competitive
advantage
dynamic
marketplace.
conclusion,
this
emphasizes
critical
driving
opportunity
identification.
harnessing
power
data,
unlock
avenues
growth,
mitigate
risks,
stay
ahead
curve
economy.
International Journal of Management & Entrepreneurship Research,
Год журнала:
2024,
Номер
6(5), С. 1423 - 1440
Опубликована: Май 4, 2024
The
clean
energy
sector
stands
at
the
forefront
of
global
efforts
to
combat
climate
change
and
transition
towards
sustainable
sources.
In
this
rapidly
evolving
landscape,
effective
leadership
management
are
crucial
for
driving
innovation,
managing
growth,
navigating
complex
challenges.
This
abstract
presents
an
overview
key
strategies
tailored
unique
demands
high-growth
environments
within
sector.
Firstly,
visionary
is
essential
setting
ambitious
goals
inspiring
teams
pursue
innovation
excellence.
Leaders
must
possess
a
deep
understanding
market
trends,
technological
advancements,
regulatory
landscapes
effectively
steer
their
organizations
success.
Additionally,
adaptive
skills
necessary
respond
swiftly
changing
dynamics
capitalize
on
emerging
opportunities.
Strategic
plays
critical
role
in
ensuring
efficient
allocation
resources,
optimizing
operations,
scaling
up
business
operations
sustainably.
Talent
acquisition
retention
priorities,
requiring
focus
attracting
diverse
talent
fostering
culture
continuous
learning
development.
Furthermore,
building
sustainability
long-term
success
Companies
encourage
entrepreneurial
thinking,
foster
collaboration
across
disciplines,
prioritize
environmental
stewardship
operations.
Despite
immense
potential
sector,
companies
face
policy
hurdles
that
require
proactive
engagement
advocacy
efforts.
Navigating
government
regulations,
advocating
pro-renewable
policies,
engaging
with
stakeholders
components
space.
Through
case
studies
best
practices,
highlights
successful
models,
lessons
learned
from
industry
leaders,
trends
shaping
future
By
embracing
these
strategies,
leaders
can
position
growth
contribute
future.
Keywords:
Leadership,
Management,
High-Growth
Environments,
Clean
Energy
Sector.
Computer Science & IT Research Journal,
Год журнала:
2024,
Номер
5(5), С. 1090 - 1112
Опубликована: Май 5, 2024
The
oil
and
gas
industry
faces
significant
challenges
in
managing
equipment
maintenance
due
to
the
complexity
criticality
of
its
assets.
Traditional
approaches
are
often
reactive
inefficient,
leading
costly
downtime
safety
risks.
However,
emergence
artificial
intelligence
(AI)
predictive
technologies
offers
a
transformative
solution
these
challenges.
This
paper
explores
role
AI-driven
revolutionizing
management
sector.
leverages
machine
learning
algorithms
analyze
data
predict
when
is
required
before
breakdown
occurs.
By
monitoring
performance
real-time,
AI
can
identify
potential
issues
early,
allowing
operators
take
proactive
actions.
approach
helps
minimize
downtime,
reduce
costs,
improve
overall
reliability
safety.
implementation
requires
comprehensive
strategy
that
includes
collection,
analysis,
integration
with
existing
practices.
Successful
adoption
lead
benefits
for
companies,
including
increased
uptime,
extended
asset
lifespan,
enhanced
operational
efficiency.
reviews
current
landscape
industry,
highlighting
limitations
traditional
practices
need
more
approach.
It
then
examines
principles
maintenance,
showcasing
real-world
examples
successful
implementation.
Finally,
discusses
considerations
implementing
provides
recommendations
companies
looking
transform
their
Keywords:
Transforming
Equipment;
Management;
Oil
Gas;
AI-Driven;
Predictive
Maintenance.
Open Access Research Journal of Science and Technology,
Год журнала:
2024,
Номер
11(1), С. 039 - 051
Опубликована: Май 5, 2024
Geological
survey
techniques
play
a
crucial
role
in
optimizing
site
selection
for
renewable
energy
projects
and
identifying
suitable
locations
carbon
storage
to
mitigate
climate
change.
This
abstract
provides
an
overview
of
how
geological
can
be
used
achieve
these
objectives.
Renewable
development,
particularly
solar
wind
power,
requires
careful
maximize
generation
efficiency
minimize
environmental
impacts.
surveys
are
instrumental
assessing
factors
such
as
subsurface
geology,
topography,
soil
composition,
hydrological
conditions.
These
help
identify
with
optimal
or
resources
geologic
conditions
infrastructure
development.
Additionally,
essential
sites
storage,
critical
component
capture
(CCS)
technologies
aimed
at
reducing
greenhouse
gas
emissions.
formations,
deep
saline
aquifers,
depleted
oil
reservoirs,
unmineable
coal
seams,
serve
reservoirs
captured
dioxide
(CO2).
characterize
formations
assess
their
suitability
long-term
CO2
considering
porosity,
permeability,
sealing
integrity.
Optimizing
comprehensive
understanding
geology
Advanced
techniques,
seismic
imaging,
remote
sensing,
geophysical
surveys,
acquiring
detailed
data.
enable
scientists
engineers
suitability,
evaluate
risks,
design
effective
mitigation
measures.
In
conclusion,
invaluable
tools
storage.
By
leveraging
stakeholders
make
informed
decisions
that
promote
sustainable
development
the
impacts
Open Access Research Journal of Multidisciplinary Studies,
Год журнала:
2024,
Номер
7(2), С. 073 - 085
Опубликована: Май 5, 2024
Geoscientific
research
plays
a
crucial
role
in
shaping
renewable
energy
policies
and
promoting
ecological
balance.
This
review
explores
the
impact
of
geoscientific
on
its
balancing.
provides
valuable
insights
into
geological
environmental
factors
that
influence
feasibility
sustainability
projects.
By
studying
earth's
processes,
geoscientists
can
identify
suitable
locations
for
installations,
assess
potential
risks,
develop
strategies
to
mitigate
impacts.
One
key
ways
which
influences
is
through
contribution
resource
assessment.
Geoscientists
use
various
techniques,
such
as
mapping,
geophysical
surveys,
remote
sensing,
quantify
resources,
solar,
wind,
geothermal
energy.
information
essential
policymakers
effective
promote
development
utilization
sources.
Furthermore,
balancing
by
providing
impacts
interactions
between
installations
surrounding
environment,
risks
minimize
them.
ensure
sustainable
projects
while
protecting
environment.
In
conclusion,
resources
their
impacts,
help
Open Access Research Journal of Engineering and Technology,
Год журнала:
2024,
Номер
6(2), С. 063 - 074
Опубликована: Май 5, 2024
Geological
data
plays
a
crucial
role
in
mapping
renewable
energy
resources
and
assessing
the
feasibility
of
carbon
storage
volcanic
regions.
This
review
explores
utilization
geological
these
areas,
highlighting
its
significance
implications.
is
fundamental
resources,
such
as
geothermal
hydroelectric
energy.
By
analyzing
structures,
researchers
can
identify
areas
with
high
potential
for
sources.
essential
sustainable
planning,
it
allows
policymakers
to
prioritize
regions
development
based
on
suitability.
Additionally,
instrumental
Volcanic
rocks
have
store
dioxide
through
mineral
carbonation,
process
where
CO2
reacts
minerals
form
stable
carbonates.
data,
including
rock
composition,
porosity,
permeability,
used
evaluate
capacity
safely
effectively.
The
region
has
significant
implications
climate
change
mitigation.
countries
reduce
their
dependence
fossil
fuels
transition
cleaner,
more
Furthermore,
help
mitigate
impacts
by
sequestering
emissions
from
industrial
In
conclusion,
leveraging
make
informed
decisions
about
Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(5), С. 1794 - 1816
Опубликована: Май 21, 2024
Natural
disasters
often
lead
to
significant
disruptions
in
healthcare
delivery,
exacerbating
the
already
formidable
challenges
faced
by
systems.
Leveraging
artificial
intelligence
(AI)
offers
a
promising
approach
mitigate
these
and
enhance
management
during
after
natural
disasters.
This
conceptual
paper
aims
propose
framework
for
integration
of
AI
into
disaster
response
efforts,
with
focus
on
optimizing
resource
allocation,
improving
patient
triage,
enhancing
overall
system
resilience.
Through
comprehensive
review
existing
literature,
this
identifies
gaps
current
practices
explores
potential
address
shortcomings.
By
analyzing
case
studies
examples
from
previous
disasters,
highlights
transformative
impact
that
technologies
such
as
predictive
analytics,
machine
learning,
robotics
can
have
delivery
crisis
situations.
The
objectives
are
twofold:
define
strategic
incorporating
protocols
outline
expected
outcomes
implementing
framework.
Expected
benefits
include
expedited
triage
processes,
more
accurate
improved
communication
systems,
ultimately
leading
better
enhanced
efficiency.
proposed
emphasizes
importance
interdisciplinary
collaboration
between
professionals,
technologists,
policymakers,
experts.
It
also
addresses
ethical
considerations
associated
implementation
settings.
In
conclusion,
underscores
critical
role
bolstering
capabilities
leveraging
technologies,
systems
become
adaptive,
responsive,
resilient
face
unforeseen
challenges,
saving
lives
minimizing
communities.
Keywords:
AI-Enhanced
Healthcare
Management,
Disasters,
Conceptual
Insights.