Journal of Engineering Research and Sciences,
Год журнала:
2024,
Номер
3(1), С. 20 - 26
Опубликована: Янв. 1, 2024
Construction
projects
involve
numerous
risks
that
can
impact
cost,
schedule,
quality,
safety,
and
sustainability.Effective
risk
management
is
critical
for
project
success.Building
Information
Modelling
(BIM)
offers
capabilities
transform
across
the
lifecycle.This
paper
provides
a
systematic
review
of
how
BIM
aid
core
processes
including
identification,
analysis,
response
planning,
monitoring.An
extensive
literature
synthesizes
key
techniques
findings
on
leveraging
BIM-based
tools
workflows
construction
management.Case
studies
provide
practical
insights
implementation.Expert
interviews
reveal
realworld
perspectives
opportunities
challenges.The
indicate
enables
automated
visualization-based
identification
stages.BIM
supports
detailed
qualitative
quantitative
analysis
through
model
simulations
integration
with
performance
data.It
facilitates
scenario-based
evaluation
plans
analysis.BIM
also
real-time
monitoring
by
connecting
models
to
progress
data
early
warning
systems.However,
issues
around
change
resistance,
contractual
alignment,
reliability,
existing
systems
constrain
realization
BIM's
capabilities.A
conceptual
framework
developed
guide
workflows,
best
practices,
further
research
adoption
minimizing
risks.
Results in Engineering,
Год журнала:
2024,
Номер
22, С. 102057 - 102057
Опубликована: Апрель 2, 2024
As
construction
projects
increase
in
complexity,
there
are
growing
challenges
with
conventional
monitoring
methods
terms
of
efficiency,
safety,
and
competitiveness.
Traditional
supervision
techniques
labour-intensive,
intermittent,
prone
to
errors.
Hence,
this
study
statistically
evaluates
the
potential
advantages
photogrammetry,
sensors,
algorithms
enable
continuous
automated
monitoring.
The
results
survey
were
analysed
compare
manual
systems.
outcome
shows
that
Malaysian
industry
is
aware
Automated
Monitoring
Innovations
for
Efficient
Safe
Construction
Practices.
top
ranked
factor
was
Photogrammetry
which
had
a
relative
importance
index
(RII)
0.821
straightforward
site
0.812
accelerated
3D
BIM
modelling.
RII
sensors
track
labourers,
apparatus,
progress
real
time
0.82,
while
hazard
anticipation
0.796.
Automation
achieved
reduction
fatigue
by
0.784,
labour
intensity
0.792,
demands
0.768,
as
measured
RII.
A
conceptual
framework
developed
incorporates
measurable
improvements
schedules,
quality
control.
solutions,
opposed
human
examinations
error,
provided
exhaustive
geographical
data
ongoing
surveillance
notwithstanding
obstacles
pertaining
cost,
cybersecurity,
privacy,
integration.
must
incorporate
new
technology,
strategic
change
management,
investments,
supporting
regulations
profitability,
efficiency
competition
complexity
increase.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
In
the
dynamic
realm
of
customer-centric
business
models,
organizations
are
increasingly
adopting
advanced
technologies
and
strategies
to
augment
capabilities
Customer
Relationship
Management
(CRM)
systems.
This
study
delves
into
transformative
concept
hyper-personalization
its
profound
impact
on
enhancing
customer
loyalty
satisfaction
within
CRM
frameworks.
Key
enablers
artificial
intelligence
(AI)
machine
learning
(ML),
which
play
a
pivotal
role
in
this
evolution.
These
empower
systems
analyse
extensive
datasets,
extracting
valuable
insights
individual
behaviours,
preferences,
needs.
The
incorporation
predictive
analytics
recommendation
engines
allows
real-time
customization
interactions,
ensuring
customers
receive
personalized
content,
product
recommendations,
communication
channels
tailored
their
unique
profiles.
paper
explores
tools
integral
strategies,
underscoring
importance
data-driven
decision-making.
data
platforms
(CDPs)
highlighted
as
essential
that
unify
disparate
sources
create
comprehensive
profile.
Additionally,
segmentation
assist
categorizing
based
diverse
criteria,
facilitating
targeted
interactions.
integration
these
enhances
ability
deliver
contextually
relevant
experiences,
fostering
stronger
emotional
connections
between
brands.
for
involve
multi-faceted
approach,
encompassing
proactive
communication,
marketing
campaigns,
adaptive
journeys.
evaluates
effectiveness
personalization,
where
dynamically
adjust
content
offers
seamless
experience.
Furthermore,
examines
omnichannel
hyper-personalization,
exploring
how
various
touchpoints
contributes
cohesive
journey.
By
embracing
can
cultivate
enduring
relationships,
ultimately
driving
enhanced
today's
competitive
landscape.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
Recently,
there
has
been
a
growing
trend
in
incorporating
Artificial
Intelligence
(AI)
into
financial
decision-making,
prompting
concerns
about
the
transparency
and
accountability
of
these
intricate
systems.
This
study
investigates
impact
Explainable
(XAI)
approaches
alleviating
improving
decision-making
processes.
The
paper
commences
by
outlining
current
landscape
AI
applications
finance,
underscoring
complex
opaque
nature
advanced
machine
learning
models.
lack
interpretability
models
presents
significant
challenge,
as
stakeholders,
regulators,
end-users
often
struggle
to
comprehend
reasoning
behind
AI-driven
decisions.
opacity
raises
questions
regarding
trust,
particularly
critical
scenarios.
primary
focus
research
centers
on
analysis
implementation
XAI
techniques
introduce
Various
methods,
including
rule-based
systems,
model-agnostic
approaches,
interpretable
models,
are
scrutinized
for
their
effectiveness
producing
understandable
explanations
explores
how
can
be
tailored
meet
distinct
requirements
domain,
where
is
essential
regulatory
compliance
stakeholder
confidence.
Moreover,
delves
potential
mechanisms
within
institutions.
By
offering
model
outputs,
not
only
enhances
but
also
empowers
professionals
identify
rectify
biases,
errors,
or
unethical
behaviour
algorithms.
promoting
accountability,
addresses
ethical
facilitates
responsible
trustworthy
deployment
sector.
This,
turn,
contributes
advancement
fair,
reliable,
secure
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
convergence
of
Blockchain
technology
and
Artificial
Intelligence
(AI)
is
exerting
a
transformative
influence,
ushering
in
new
epoch
security
transparency
within
the
financial
sector.
This
amalgamation
effectively
addresses
pivotal
challenges
faced
by
conventional
systems,
presenting
inventive
solutions
to
heighten
efficiency,
diminish
fraud,
amplify
transparency.
Blockchain,
functioning
as
decentralized
tamper-resistant
ledger,
introduces
paradigm
shift
transactions.
Its
capacity
establish
an
unalterable
record
transactions
ensures
that
once
data
recorded,
it
remains
impervious
modification,
thereby
furnishing
unparalleled
level
security.
inherent
attribute
positions
optimal
choice
for
reinforcing
systems
against
cyber
threats
fraudulent
activities.
On
other
hand,
AI
contributes
predictive
analytics,
machine
learning,
automation
forefront
operations.
integration
finance
enables
real-time
analysis,
risk
assessment,
decision-making,
optimizing
processes
elevating
overall
efficiency.
When
amalgamated
with
augments
precision
dependability
data,
cultivating
more
secure
transparent
ecosystem.
A
aspect
this
streamlining
Know
Your
Customer
(KYC)
Anti-Money
Laundering
(AML)
processes.
nature
facilitates
storage
customer
mitigating
identity
theft,
while
algorithms
adeptly
analyze
extensive
datasets
pinpoint
flag
suspicious
not
only
but
also
adherence
regulatory
requirements.
Smart
contracts,
distinctive
feature
automate
enforce
contractual
agreements,
diminishing
reliance
on
intermediaries
minimizing
probability
human
error.
can
be
seamlessly
integrated
into
these
contracts
enhance
their
adaptability
responsiveness
evolving
market
conditions,
further
refining
ushered
all
stakeholders
have
access
singular
version
truth,
fostering
trust
Furthermore,
incorporation
fraud
detection
management
heightens
proactive
identification
potential
threats,
safeguarding
institutions
clientele.
As
increasingly
embrace
integration,
industry
stands
brink
revolution
safeguards
existing
paves
way
innovative
efficient
ecosystems.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
fusion
of
Artificial
Intelligence
(AI)
and
the
Internet
Things
(IoT)
has
brought
about
a
paradigm
shift
in
realm
architecture,
engineering,
construction
(AEC),
introducing
intelligent
sensing
technologies
that
significantly
enhance
monitoring
control.
This
study
delves
into
varied
applications,
hurdles,
prospects
emerging
from
collaborative
deployment
AI
IoT-based
sensors
within
AEC
domain.
AI-equipped
smart
enable
real-time
structural
health,
energy
consumption,
environmental
conditions
both
buildings
infrastructure.
These
empower
predictive
maintenance,
ensuring
durability
structures
while
minimizing
downtime.
Additionally,
AI-driven
analytics
optimize
resource
allocation,
improve
safety
protocols,
streamline
processes,
thereby
enhancing
overall
project
efficiency.
Through
ongoing
analysis
data
collected
by
integrated
HVAC
systems,
elevators,
lighting,
maintenance
teams
can
pre-emptively
tackle
potential
malfunctions.
Furthermore,
synergy
between
IoT
enables
development
with
adaptive
features.
Sensors
examine
occupancy
patterns,
lighting
preferences,
temperature
fluctuations
play
pivotal
role
crafting
energy-efficient
occupant-centric
building
designs.
security
privacy
concerns
associated
sensor-generated
give
rise
to
critical
issues
necessitate
robust
cybersecurity
measures.
Interoperability
challenges
among
diverse
sensor
networks
platforms
also
present
obstacles
seamless
integration.
adoption
these
demands
substantial
investments
infrastructure
workforce
training,
requiring
strategic
approach
for
widespread
acceptance.
paper
explores
how
capabilities
contribute
risk
mitigation
cost
reduction
across
entire
lifecycle.
Moreover,
ability
collect
analyze
vast
amounts
empowers
stakeholders
make
well-informed
decisions,
fostering
innovation
sustainability
industry.
By
addressing
underscoring
benefits,
it
provides
invaluable
insights
industry
professionals,
researchers,
policymakers
eager
harness
transformative
construction.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
architecture,
engineering,
and
construction
(AEC)
sector
is
currently
experiencing
a
profound
shift
in
its
paradigm
through
the
incorporation
of
Building
Information
Modelling
(BIM)
advanced
generative
artificial
intelligence
(AI)
technologies.
This
study
delves
into
diverse
applications
this
transformative
integration,
presenting
pioneering
framework
for
merging
BIM
with
models
like
ChatGPT
Bard.
integrated
approach
outlined
research
paper
has
broad
implications.
Initially,
it
explores
augmentation
design
process,
where
AI
enhances
creative
input
architects
engineers
by
generating
innovative
alternatives
rooted
data.
BIM's
collaborative
ethos
extended
natural
language
interfaces
from
ChatGPT,
fostering
seamless
communication
idea
exchange
among
project
stakeholders.
In
phase,
integration
streamlines
real-time
decision-making
on-site
personnel,
providing
AI-generated
insights
based
on
ensures
heightened
efficiency,
cost-effectiveness,
risk
management.
synergy
between
also
harnessed
simulation
analysis,
enabling
predictions
related
to
structural
performance,
energy
environmental
impact.
introduces
an
seamlessly
AI,
prioritizing
interoperability,
data
consistency,
user-friendly
interfaces.
Designed
adapt
dynamic
nature
AEC
projects,
promotes
continuous
collaboration
information
exchange.
It
establishes
standardized
platform
harnessing
strengths
both
technologies,
ensuring
cohesive
efficient
workflow
across
lifecycle.
Nevertheless,
brings
forth
challenges,
including
security,
ethical
considerations,
demand
extensive
computational
resources.
provides
foundational
upcoming
studies
industry
practices,
paving
way
more
intelligent,
collaborative,
ecosystem.
Buildings,
Год журнала:
2024,
Номер
14(7), С. 2137 - 2137
Опубликована: Июль 11, 2024
Buildings
significantly
contribute
to
global
energy
consumption
and
greenhouse
gas
emissions.
This
systematic
literature
review
explores
the
potential
of
artificial
intelegence
(AI)
enhance
sustainability
throughout
a
building’s
lifecycle.
The
identifies
AI
technologies
applicable
sustainable
building
practices,
examines
their
influence,
analyses
implementation
challenges.
findings
reveal
AI’s
capabilities
in
optimising
efficiency,
enabling
predictive
maintenance,
aiding
design
simulation.
Advanced
machine
learning
algorithms
facilitate
data-driven
analysis,
while
digital
twins
provide
real-time
insights
for
decision-making.
also
barriers
adoption,
including
cost
concerns,
data
security
risks,
While
offers
innovative
solutions
optimisation
environmentally
conscious
addressing
technical
practical
challenges
is
crucial
its
successful
integration
practices.
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
This
research
paper
delves
into
the
integration
of
advanced
generative
artificial
intelligence
(AI)
models,
such
as
ChatGPT,
Bard,
and
similar
architectures,
within
realms
architectural
design
engineering.
The
comprehensive
study
explores
various
aspects,
including
applications,
frameworks,
challenges,
prospective
developments
in
context
In
domain
design,
investigates
transformative
impact
on
Architectural
Theory,
highlighting
how
AI
fosters
creativity
innovation
thinking.
Design
Process
is
scrutinized,
showcasing
models
streamline
ideation,
iteration,
collaboration
among
teams.
role
Representation
Visualization
explored,
emphasizing
its
capacity
to
generate
immersive
realistic
visualizations.
Furthermore,
examines
influence
Interior
Design,
Urban
Planning,
considers
nuanced
aspects
Cultural
Social
factors,
elucidating
these
technologies
contribute
inclusive
context-sensitive
practices.
Within
realm
engineering,
assesses
Structural
Engineering,
demonstrating
potential
optimize
innovate
structural
analysis
designs
for
enhanced
safety
efficiency.
It
applications
Building
Systems
Construction
Management,
illustrating
can
project
workflows
resource
allocation.
compliance
with
Codes
Regulations
analyzed,
error
reduction
adherence
standards.
Additionally,
probes
Materials
Technology,
advancements
material
selection
construction
methodologies.
also
promoting
Sustainability
Environmental
energy
efficiency,
reduce
environmental
impact,
enhance
overall
sustainability.
While
presenting
critically
evaluates
challenges
posed
by
integrating
domains,
ethical
considerations,
bias
mitigation,
user
adaptability.
Finally,
it
outlines
future
directions
development,
necessity
interdisciplinary
collaboration,
guidelines,
ongoing
fully
harness
shaping
SSRN Electronic Journal,
Год журнала:
2023,
Номер
unknown
Опубликована: Янв. 1, 2023
The
Metaverse,
an
immersive
virtual
reality
realm
where
users
engage
with
computer-generated
environments,
is
swiftly
emerging
as
a
transformative
platform
poised
to
address
and
propel
Sustainable
Development
Goals
(SDGs).
This
research
delves
into
the
intersections
between
Metaverse
SDGs,
shedding
light
on
how
this
cutting-edge
technology
can
be
harnessed
sustainable
development
across
diverse
sectors.
Commencing
comprehensive
overview,
paper
details
evolution,
key
components,
capabilities
of
Metaverse.
Underscoring
its
dynamic
interactive
essence,
emphasizes
potential
revolutionize
conventional
approaches
education,
healthcare,
environmental
conservation,
economic
empowerment.
A
thorough
analysis
unveils
Metaverse's
role
in
democratizing
education
by
transcending
geographical
boundaries
providing
inclusive
learning
environments.
nature
facilitates
experiential
learning,
enhancing
accessibility,
fostering
global
collaboration
fulfill
SDG
4
(Quality
Education).
Additionally,
explores
contribute
healthcare
solutions
through
medical
consultations,
training
professionals,
simulating
scenarios.
innovative
approach
holds
disparities,
advance
3
(Good
Health
Well-being),
improve
overall
public
health.
Environmental
sustainability
takes
center
stage
serves
for
raising
awareness
about
climate
change,
promoting
practices,
eco-friendly
solutions.
aligns
13
(Climate
Action)
15
(Life
Land),
emphasizing
capacity
inspire
real-world
stewardship.
Economic
empowerment
addressed
discussions
economies
within
highlighting
opportunities
entrepreneurship,
job
creation,
financial
inclusion.
exploration
corresponds
1
(No
Poverty),
8
(Decent
Work
Growth),
10
(Reduced
Inequality).