Engineering Science & Technology Journal,
Год журнала:
2024,
Номер
5(4), С. 1203 - 1213
Опубликована: Апрель 7, 2024
As
the
global
demand
for
energy
continues
to
rise,
imperative
balance
this
growth
with
environmental
sustainability
becomes
increasingly
crucial.
This
paper
delves
into
confluence
of
technological
advancements
in
exploration
and
carbon
management,
aiming
create
a
framework
sustainable
resource
discovery.
The
study
explores
cutting-edge
techniques,
incorporating
advanced
geophysical
methods
artificial
intelligence-driven
data
analytics,
while
concurrently
addressing
concerns
through
effective
management
strategies
like
capture
storage
(CCS)
utilization.
presents
holistic
approach
that
synergizes
innovative
technologies,
optimizing
processes
simultaneously
mitigating
impacts.
Through
case
studies,
frameworks,
industry
applications,
we
illustrate
practical
implementation
these
synergies.
findings
underscore
significance
collaborative
efforts
between
sectors
provide
roadmap
future
developments
align
goals.
contributes
comprehensive
understanding
how
synergies
can
drive
discovery,
presenting
compelling
integration
strategies.
proposed
not
only
addresses
pressing
challenges
meeting
demands
but
also
ensures
responsible
trajectory
industry.
Keywords:
Technological
Synergies,
Sustainable,
Resource
Discovery,
Energy
Exploration,
Carbon,
Management.
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(1)
Опубликована: Фев. 5, 2025
In
this
study,
we
propose
the
Adaptive
Learning
Path
Optimization
Algorithm
(ALPOA)
to
enhance
personalized
e-learning
experiences
by
tailoring
content
delivery
based
on
individual
learner
profiles.
ALPOA
employs
a
hybrid
optimization
framework
combining
Genetic
(GA)
and
Particle
Swarm
(PSO)
dynamically
adjust
learning
paths.
The
algorithm
considers
multiple
factors
such
as
proficiency,
speed,
engagement
level,
difficulty.
Experimental
results
demonstrate
that
outperforms
traditional
static
models,
achieving
25%
improvement
in
efficiency,
30%
increase
engagement,
20%
reduction
redundancy.
model
was
tested
dataset
of
1,500
learners,
showing
97%
accuracy
predicting
optimal
paths
15%
higher
knowledge
retention
rate
compared
benchmark
algorithms.
ALPOA’s
scalability
adaptability
make
it
promising
solution
for
education
systems,
fostering
improved
outcomes
satisfaction.
Future
work
will
focus
integrating
real-time
feedback
mechanisms
expanding
support
diverse
environments.
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.
International Journal of Computational and Experimental Science and Engineering,
Год журнала:
2025,
Номер
11(1)
Опубликована: Фев. 5, 2025
This
study
presents
IntelliFuzz,
an
advanced
fuzzy
logic-based
assessment
system
designed
for
the
dynamic
evaluation
of
student
performance
in
open-ended
tasks.
The
proposed
leverages
logic
to
address
inherent
subjectivity
and
ambiguity
evaluating
tasks
such
as
essays,
project
work,
case
studies.
IntelliFuzz
incorporates
multiple
criteria,
including
task
relevance,
critical
thinking,
creativity,
presentation
quality,
generate
a
comprehensive
score.
Experimental
results
on
dataset
500
submissions
demonstrate
effectiveness
IntelliFuzz.
achieved
95%
accuracy
aligning
with
expert
assessments
reduced
time
by
30%
compared
traditional
manual
grading
methods.
inference
was
calibrated
using
150
feedback
samples,
yielding
average
correlation
coefficient
0.92
between
system-generated
scores
evaluations.
Furthermore,
rated
85%
satisfactory
instructors
its
ability
provide
consistent
fair
evaluations.The
highlights
potential
educational
assessment,
offering
scalable
efficient
solution
subjective
Future
research
will
focus
integrating
machine
learning
further
enhance
adaptability
precision
system.
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.
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.
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.
Buildings,
Год журнала:
2025,
Номер
15(7), С. 1144 - 1144
Опубликована: Март 31, 2025
Frequent
ambiguities
in
contract
terms
often
lead
to
costly
legal
disputes
and
project
delays
the
construction
industry.
Large
Language
Models
(LLMs)
offer
a
promising
solution,
enhancing
accuracy
reducing
misinterpretations.
As
studies
pointed
out,
many
professionals
use
LLMs,
such
as
ChatGPT,
assist
with
their
professional
tasks
at
minor
level,
information
retrieval
from
Internet
content
editing.
With
access
regulation
database,
LLMs
can
automate
interpretation.
However,
lack
of
Artificial
Intelligence
tools
tailored
industry
regulations
hinders
adoption
sector.
This
research
addresses
gap
by
developing
deploying
publicly
available
specialised
chatbot
using
ChatGPT
language
model.
The
development
process
includes
architectural
design,
data
preparation,
vector
embeddings,
model
integration.
study
uses
qualitative
quantitative
methodologies
evaluate
chatbot’s
role
resolving
contract-related
issues
through
standardised
tests.
chatbot,
trained
on
construction-specific
information,
achieved
an
average
score
88%,
significantly
outperforming
ChatGPT’s
36%.
integration
domain-specific
promises
revolutionise
practices
increased
precision,
efficiency,
innovation.
These
findings
demonstrate
potential
optimised
models
transform
practices.
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.
