Intelligent Manufacturing through Generative Artificial Intelligence, Such as ChatGPT or Bard
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
research
paper
explores
the
transformative
possibilities
arising
from
integration
of
ChatGPT,
an
advanced
language
model,
into
domain
intelligent
manufacturing.
In
face
rapid
changes
in
manufacturing
landscape,
there
is
increasing
demand
for
adaptive
and
systems
to
elevate
efficiency,
productivity,
decision-making
processes.
study
investigates
incorporation
ChatGPT's
or
Bard
cutting-edge
natural
processing
capabilities
various
forefront
aspects
establish
a
novel
paradigm
The
ChatGPT
processes
presents
versatile
approach
tackle
challenges
seize
opportunities
within
modern
production
systems.
A
pivotal
aspect
this
lies
augmenting
human-machine
collaboration
factory.
understanding
facilitates
seamless
communication
between
human
operators
automated
systems,
fostering
more
intuitive
responsive
environment.
Additionally,
delves
utilization
predictive
maintenance
facilities.
Through
analysis
historical
data
real-time
information,
can
provide
insights
potential
equipment
failures,
enabling
proactive
strategies
that
mitigate
downtime
optimize
resource
utilization.
also
application
supply
chain
management.
model's
capacity
process
vast
amounts
textual
contributes
improved
forecasting,
inventory
optimization,
risk
results
resilient
agile
ecosystem
capable
adapting
dynamic
market
conditions.
Furthermore,
role
quality
control
defect
detection.
model
analyze
intricate
patterns
data,
identifying
anomalies
defects
with
high
degree
accuracy.
Integrating
assurance
ensures
higher
product
quality,
reducing
waste,
enhancing
overall
customer
satisfaction.
findings
highlight
revolutionize
processes,
propelling
industry
towards
greater
adaptability,
competitiveness
rapidly
evolving
global
market.
Язык: Английский
Contribution of ChatGPT and Similar Generative Artificial Intelligence for Enhanced Climate Change Mitigation Strategies
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
The
urgent
acceleration
of
climate
change
necessitates
the
development
innovative
and
adaptive
mitigation
strategies.
This
study
investigates
how
ChatGPT
or
Bard,
an
advanced
language
model,
enhances
efforts
to
mitigate
change.
By
leveraging
natural
processing
machine
learning,
facilitates
improved
communication,
collaboration,
decision-making
among
stakeholders,
thereby
accelerating
implementation
paper
begins
by
examining
context
change,
emphasizing
need
for
robust
measures.
It
underscores
limitations
traditional
approaches
introduces
transformative
potential
integrating
into
action
frameworks.
model's
capacity
analyze
extensive
datasets
generate
human-like
text
allows
it
comprehend
intricate
science,
distill
key
insights,
communicate
them
effectively.
research
identifies
strategies
that
benefit
from
ChatGPT's
intervention.
One
such
strategy
involves
optimizing
deployment
renewable
energy.
assists
in
identifying
optimal
locations
energy
infrastructure,
considering
geographical
climatic
factors.
Additionally,
model
aids
developing
sophisticated
management
systems,
enhancing
efficiency
reliability
sources.
In
sustainable
agriculture,
contributes
providing
real-time
data
analysis
precision
farming.
helps
farmers
optimize
resource
utilization,
minimize
environmental
impact,
adopt
climate-resilient
agricultural
practices.
Moreover,
formulating
policies
promote
land
use
forest
conservation.
also
explores
role
resilience
through
risk
assessment
adaptation
planning.
analyzing
data,
vulnerable
regions
targeted
infrastructure
resilience,
disaster
preparedness,
community
engagement.
Furthermore,
discusses
fostering
global
collaboration.
cross-border
information
exchange,
knowledge
sharing,
formulation
unified
policies.
collaborative
approach
is
essential
addressing
transboundary
nature
achieving
international
goals.
harnessing
capabilities,
stakeholders
can
unlock
new
dimensions
innovation,
paving
way
a
more
resilient
future.
Язык: Английский
Enhancing water and air pollution monitoring and control through ChatGPT and similar generative artificial intelligence implementation
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
research
delves
into
the
utilization
of
advanced
artificial
intelligence
(AI),
specifically
ChatGPT
or
Bard,
to
improve
strategies
for
monitoring
and
controlling
water
air
pollution.
Given
escalating
concerns
surrounding
environmental
degradation
its
repercussions
on
public
health,
there
is
a
pressing
demand
innovative
pollution
management
techniques.
investigation
centers
harnessing
capabilities
ChatGPT,
an
language
model,
address
real-time
data
analysis,
decision-making,
engagement
challenges
within
realm
quality.
Incorporating
cutting-edge
methods
in
monitoring,
such
as
sensor
networks,
satellite
imagery,
IoT
devices,
this
aims
obtain
comprehensive
understanding
dynamics.
Nevertheless,
substantial
volume
presents
processing
extracting
meaningful
insights.
employed
intelligent
tool
proficient
comprehending
natural
queries
delivering
insightful
analyses.
integration
streamlines
interpretation
intricate
sets,
enabling
swift
decision-making
control
authorities.
Moreover,
assumes
pivotal
role
by
serving
user-friendly
interface
disseminating
information
levels,
regulatory
measures,
preventive
actions.
Through
interactive
conversations,
it
enhances
communication
between
agencies
general
public,
cultivating
awareness
encouraging
participation
initiatives.
paper
underscores
significance
collaborative
human-AI
approach
tackling
multifaceted
The
also
ethical
considerations
associated
with
AI-driven
emphasizing
importance
responsible
AI
implementation.
As
technologies
progress,
proposed
framework
contribute
ongoing
discourse
sustainable
involvement.
By
synergizing
state-of-the-art
techniques,
seeks
offer
efficacious
solution
advancing
contemporary
landscape.
Язык: Английский
Transforming the Civil Engineering Sector with Generative Artificial Intelligence, such as ChatGPT or Bard
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
The
infusion
of
generative
artificial
intelligence
(AI)
stands
out
as
a
transformative
influence
in
civil
engineering,
reshaping
conventional
methodologies
and
elevating
the
effectiveness
precision
across
various
domains.
This
study
delves
into
nuanced
impact
ChatGPT,
potent
language
model,
key
realms
within
engineering:
Structural
Engineering,
Geotechnical
Transportation
Environmental
Water
Resources
Urban
Regional
Planning,
Materials
Coastal
Earthquake
Engineering.
Within
ChatGPT
assumes
central
role
formulating
refining
structural
designs.
By
deciphering
intricate
engineering
concepts
proposing
inventive
solutions,
assists
engineers
crafting
structures
that
not
only
exhibit
resilience
but
also
optimize
resource
utilization.
Its
proficiency
scrutinizing
extensive
datasets
delivering
insights
positions
it
an
invaluable
tool
for
augmenting
integrity
safety.
Engineering
benefits
from
ChatGPT's
aptitude
processing
interpreting
geological
geophysical
data.
Through
generation
reports
analyses,
aids
recognizing
potential
risks
suggesting
mitigation
strategies,
thereby
expediting
decision-making
geotechnical
projects.
In
realm
application
involves
streamlining
traffic
flow,
devising
intelligent
transportation
systems,
overall
infrastructure
planning.
natural
capabilities
facilitate
seamless
communication
collaboration
among
diverse
stakeholders
engaged
contributes
to
evaluation
environmental
studies,
assisting
planners
making
well-informed
decisions
prioritizing
sustainability.
Moreover,
its
capability
simulate
scenarios
formulation
effective
pollution
control
measures.
leverages
data
interpretation
modeling,
enabling
precise
predictions
water
flow
patterns
aiding
design
efficient
management
systems.
extends
contributions
where
urban
development
optimizing
land
use,
addressing
challenges
associated
with
population
growth
urbanization.
prowess
analysis
materials
enhanced
properties,
resilient
coastal
structures,
creation
earthquake-resistant
infrastructure.
research
paper
scrutinizes
how
integration
these
disciplines
heightens
efficiency
practices
unlocks
new
avenues
innovation,
sustainability,
face
evolving
challenges.
Язык: Английский
Comparison of machine and deep learning algorithms using Google Earth Engine and Python for land classifications
Frontiers in Environmental Science,
Год журнала:
2024,
Номер
12
Опубликована: Май 28, 2024
Classifying
land
use
and
cover
(LULC)
is
essential
for
various
environmental
monitoring
geospatial
analysis
applications.
This
research
focuses
on
classification
in
District
Sukkur,
Pakistan,
employing
the
comparison
between
machine
deep
learning
models.
Three
satellite
indices,
namely,
NDVI,
MNDWI,
NDBI,
were
derived
from
Landsat-8
data
utilized
to
classify
four
primary
categories:
Built-up
Area,
Water
Bodies,
Barren
Land,
Vegetation.
The
main
objective
of
this
study
evaluate
compare
effectiveness
models
including
Random
Forest
achieved
an
overall
accuracy
91.3%
a
Kappa
coefficient
0.90.
It
accurately
classified
2.7%
area
as
1.9%
54.8%
40.4%
While
slightly
less
accurate,
Decision
Tree
model
provided
reliable
classifications.
Deep
showed
significant
accuracy,
Convolutional
Neural
Networks
(CNN)
Recurrent
(RNN).
CNN
impressive
97.3%,
excelling
classifying
Bodies
with
User
Producer
Accuracy
exceeding
99%.
RNN
model,
96.2%,
demonstrated
strong
performance
categorizing
These
findings
offer
valuable
insights
into
potential
applications
perfect
classifications,
implications
management
analysis.
rigorous
validation
comparative
these
contribute
advancing
remote
sensing
techniques
their
utilization
tasks.
presents
contribution
field
underscores
importance
precise
context
sustainable
conservation.
Язык: Английский
A New Era of Automation in the Construction Industry: Implementing Leading-Edge Generative Artificial Intelligence, such as ChatGPT or Bard
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
The
construction
sector
stands
at
the
cusp
of
a
transformative
period
propelled
by
integration
generative
artificial
intelligence
(AI)
into
diverse
aspects
its
operations.
This
investigation
delves
revolutionary
impact
deploying
cutting-edge
AI,
particularly
ChatGPT
model,
across
various
dimensions
activities.
study
concentrates
on
thorough
exploration
ChatGPT's
utilization
in
crucial
domains
such
as
robotic
equipment,
3D/4D/5D/6D
printing
processes,
building
information
modeling
(BIM)
workflows,
robotics,
smart
materials,
and
augmented/virtual
reality
(AR/VR)
technologies,
along
with
role
drone
surveying
mapping.
research
underscores
seamless
enhancing
effectiveness
adaptability
autonomous
machinery.
Furthermore,
it
examines
benefits
incorporating
advanced
where
plays
pivotal
streamlining
design
iterations
optimizing
material
usage.
Additionally,
investigates
enhanced
communication
facilitated
BIM
promoting
collaboration
minimizing
errors
project
planning
execution.
introduction
robotics
emerges
groundbreaking
advancement,
amplifying
capabilities
systems
enabling
sophisticated
tasks.
also
scrutinizes
application
development
contributing
to
creation
adaptive
responsive
components.
Moreover,
paper
explores
synergies
between
AR/VR
presenting
innovative
approaches
immersive
visualization
interactive
planning.
use
mapping,
showcasing
elevating
data
analysis
decision-making
site
management.
By
proposing
comprehensive
framework
for
implementing
ChatGPT/Bard
construction,
outlines
guidelines
existing
workflows.
concludes
shedding
light
potential
ChatGPT,
heralding
new
era
automation
innovation
industry.
Язык: Английский
Contribution of ChatGPT and Similar Generative Artificial Intelligence in Geotechnical Engineering and Soil Mechanics
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
research
study
investigates
the
influence
of
ChatGPT
on
geotechnical
engineering
and
soil
mechanics.
Positioned
as
an
advanced
language
model,
has
emerged
a
formidable
asset
for
enhancing
communication,
collaboration,
problem-solving
within
geotechnics
domain.
A
key
aspect
ChatGPT's
contribution
lies
in
its
capacity
to
facilitate
streamlined
communication
among
engineers,
researchers,
practitioners.
Leveraging
natural
processing
capabilities,
model
enables
seamless
interaction,
cultivating
collaborative
environment
exchanging
ideas,
sharing
insights,
addressing
intricate
challenges
projects.
heightened
leads
expedited
problem
resolution
enhanced
decision-making
processes.
Additionally,
plays
crucial
role
automating
routine
tasks
engineering,
allowing
professionals
allocate
more
time
critical
analyses
innovative
pursuits.
The
model's
ability
generate
human-like
responses
streamlines
data
interpretation,
report
generation,
documentation
processes,
thereby
boosting
overall
workflow
efficiency.
In
context
slope
stability
analysis,
showcases
prowess
by
assisting
interpretation
providing
insights
into
potential
failure
mechanisms.
Its
application
extends
mechanics,
where
aids
analyzing
behaviour
under
varying
conditions,
contributing
deeper
understanding
soil-structure
interaction.
Moreover,
proves
invaluable
synthesizing
interpreting
extensive
datasets,
paving
way
advancements
machine
learning
applications
engineering.
aptitude
recognizing
patterns
relationships
complex
datasets
enhances
accuracy
predictive
models,
ultimately
elevating
reliability
predictions.
paper
delves
integration
education,
serves
valuable
tool
interactive
experiences.
By
generating
realistic
scenarios
instant
feedback,
contributes
development
practical
skills
students
alike.
impact
automation,
education
establishes
it
pioneering
force
shaping
future
practices.
Язык: Английский
Enhancing Sustainable Construction Materials Through the Integration of Generative Artificial Intelligence, such as ChatGPT or Bard
SSRN Electronic Journal,
Год журнала:
2024,
Номер
unknown
Опубликована: Янв. 1, 2024
This
study
examines
the
potential
transformation
brought
about
by
integration
of
ChatGPT
in
advancing
cutting-edge
sustainable
construction
materials.
Encompassing
a
diverse
range
eco-friendly
options,
investigation
spans
recycled
materials,
renewable
resources,
low-carbon
concrete
alternatives,
energy-efficient
water-conserving
compounds,
green
roofing
steel
and
metal,
lightweight
The
utilization
materials
plays
pivotal
role
construction,
reducing
environmental
impact
repurposing
discarded
resources.
Similarly,
incorporation
aligns
with
sustainability
principles,
advocating
for
use
resources
that
can
naturally
replenish.
Low-carbon
alternatives
address
carbon
footprint
associated
traditional
production,
providing
more
environmentally
conscious
choice
research
explores
contribute
to
resource
conservation
diminished
energy
consumption
throughout
buildings'
lifecycle.
Water-conserving
are
scrutinized
their
addressing
water
scarcity
concerns,
promoting
responsible
usage
processes.
Green
renowned
insulation
properties
benefits,
studied
practices.
Additionally,
metal
seeking
reduced
production
usage.
Lightweight
investigated
enhance
efficiency
diminish
transportation-related
emissions.
An
integral
aspect
this
exploration
involves
evaluating
how
these
collectively
achieving
Sustainable
Development
Goals
(SDGs).
investigates
multifaceted
ways
which
align
propel
globally
recognized
goals.
To
guide
implementation
advancements,
proposes
comprehensive
framework.
framework
outlines
strategies
integrating
into
development
processes,
leveraging
artificial
intelligence
capabilities
efficacy
material
development.
By
merging
technological
innovation
practices,
aims
drive
industry
toward
socially
future.
Язык: Английский
Innovative Approaches to Water Purification Harnessing Bio-Chemical Adsorbents for Multistage Potable Water Filtration
Manikala Vinod Kumar,
K Madhukumar,
Nivedita Kumar
и другие.
Advances in chemical and materials engineering book series,
Год журнала:
2024,
Номер
unknown, С. 389 - 458
Опубликована: Ноя. 29, 2024
Lifestyle
choices
significantly
shape
the
intricate
chemical
makeup
of
human
body,
impacting
health
and
lifespan.
The
use
bio-chemical
adsorbents
in
multistage
potable
water
filtration
represents
a
major
breakthrough
addressing
global
quality
challenges.
fundamentals
are
discussed,
distinguishing
between
bio-based
materials
highlighting
various
types
such
as
activated
carbon,
biochar,
graphene
oxide.
concept
systems
is
introduced
by
advantages
over
single-stage
key
design
considerations.
chapter
then
delves
into
applications
purification,
presenting
case
studies
comparative
analyses
with
traditional
methods
to
demonstrate
their
efficacy
performance
metrics.
Strategies
enhance
adsorption
efficiency
through
surface
modifications,
hybrid
systems,
composite
explored
detail
targets
on
environmental
impact,
sustainability,
regulatory
standards,
future
trends
adsorbents.
Язык: Английский
Geopatial Technologies in Civil Engineering : A Critical Literature
Indonesia Journal of Engineering and Education Technology (IJEET),
Год журнала:
2024,
Номер
2(2), С. 274 - 281
Опубликована: Май 13, 2024
This
study
investigates
the
role
of
geospatial
technologies
in
enhancing
efficiency
and
effectiveness
civil
engineering
projects.
Geospatial
technologies,
including
Geographic
Information
Systems
(GIS),
remote
sensing,
spatial
analysis,
have
revolutionized
field
by
providing
critical
tools
for
planning,
design,
construction,
management
infrastructure
The
integration
these
enables
accurate
terrain
mapping,
real-time
monitoring,
data-driven
decision-making,
which
are
crucial
ensuring
safety,
sustainability,
resilience
modern
infrastructure.
research
aims
to
explore
applications
various
projects,
highway
urban
development,
environmental
monitoring.
also
examines
potential
benefits
limitations
provides
recommendations
their
effective
into
practices.
By
understanding
impact
on
this
contribute
development
more
efficient,
sustainable,
resilient
that
supports
needs
society.
Язык: Английский