SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
Geotechnical
site
characterization
is
a
crucial
factor
in
the
effective
planning,
design,
and
implementation
of
civil
engineering
projects.
In
evolving
landscape
infrastructure
development,
integration
advanced
technologies
such
as
Artificial
Intelligence
(AI)
Internet
Things
(IoT)
has
emerged
transformative
strategy
to
improve
precision
efficiency
geotechnical
processes.
This
article
delves
into
combined
application
AI
IoT
characterization,
encompassing
diverse
range
technologies,
models,
tools,
frameworks.
AI,
utilizing
its
machine
learning
algorithms,
capacity
analyse
extensive
geospatial
geological
data,
facilitating
more
accurate
identification
subsurface
conditions.
Neural
networks
deep
models
play
role
examining
features,
predicting
soil
behaviour,
evaluating
potential
risks
associated
with
construction
conjunction
incorporation
enables
real-time
monitoring
data
acquisition
at
sites.
Ground-embedded
sensor
gather
geophysical
including
moisture,
temperature,
pressure,
providing
dynamic
continuous
understanding
feeds
creating
feedback
loop
that
refines
predictions
enhances
characterization.
Moreover,
introduces
various
tools
frameworks
facilitate
seamless
engineering.
Geographic
Information
Systems
(GIS)
are
employed
for
spatial
analysis,
aiding
visualization
interpretation
complex
data.
Additionally,
Building
Modelling
(BIM)
explored
means
integrate
information
overall
project
promoting
holistic
approach
planning.
Embracing
this
technological
synergy
essential
addressing
challenges
modern
development
ensuring
sustainability
resilience
projects
future.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 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,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
This
research
paper
delves
into
the
potential
for
transformation
by
incorporating
cutting-edge
technologies
such
as
Artificial
Intelligence
(AI),
Blockchain,
Internet
of
Things
(IoT),
Augmented
Reality
(AR),
and
Virtual
(VR)
to
foster
sustainable
development
tourism.
The
contemporary
tourism
industry
confronts
unprecedented
challenges,
including
environmental
degradation,
cultural
disruption,
socio-economic
imbalances.
investigation
explores
innovative
application
advanced
a
comprehensive
solution
tackle
these
challenges
propel
sector
toward
more
future.
emerges
pivotal
facilitator
in
enhancing
operations
decision-making
processes.
Leveraging
predictive
analytics,
machine
learning,
natural
language
processing,
AI
contributes
optimized
resource
allocation,
personalized
visitor
experiences,
formulation
data-driven
sustainability
strategies.
Blockchain
technology,
recognized
its
decentralized
transparent
nature,
is
utilized
establish
secure
traceable
supply
chains,
ensuring
equitable
economic
distribution
minimizing
impact
travel.
(IoT)
assumes
central
role
creating
intelligent
interconnected
ecosystems.
IoT
devices
enable
real-time
monitoring
conditions,
empowering
destination
management
organizations
implement
adaptive
measures
conservation.
Furthermore,
enhance
safety
satisfaction
through
context-aware
services.
(AR)
offer
immersive
experiences
that
redefine
how
tourists
interact
with
destinations.
AR
enriches
historical
context
attractions,
fostering
deeper
understanding
appreciation
local
heritage.
Meanwhile,
VR
enables
virtual
reducing
need
physical
travel
consequently
mitigating
carbon
footprints.
findings
underscore
technology-driven
approach
practices,
long-term
environmental,
social,
sustainability.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 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,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 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,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 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,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 1, 2023
The
rise
of
Industry
4.0
and
the
emerging
paradigm
5.0
have
driven
unprecedented
technological
progress
in
various
fields.
Central
to
this
transformation
are
real-time
object
detection
technologies,
notably
You
Only
Look
Once
(YOLO)
Faster
Region
Convolutional
Neural
Network
(Faster
R-CNN)
algorithms.
This
study
thoroughly
examines
applications,
challenges,
prospects
YOLO
R-CNN
diverse
industrial
domains.
In
realm
automation,
these
algorithms
redefined
efficiency
safety
standards
by
enabling
rapid
precise
recognition,
thus
enhancing
overall
production
workflows.
Furthermore,
construction
industry
has
experienced
significant
advancements
project
management
site
safety,
thanks
accurate
identification
materials
equipment.
healthcare,
revolutionized
patient
care
facilitating
medical
instruments
anomalies,
thereby
improving
diagnostics
treatment
processes.
integration
into
autonomous
vehicles
substantially
enhanced
their
capabilities,
ensuring
superior
road
navigation.
Additionally,
precision
agriculture,
streamlined
crop
management,
leading
increased
agricultural
productivity
sustainability.
Moreover,
retail
e-commerce
sectors
undergone
a
shift
with
personalized
customer
experiences
efficient
inventory
all
powered
technologies.
Despite
remarkable
advancements,
paper
explores
challenges
such
as
data
privacy
concerns,
computational
complexity,
ethical
considerations.
Addressing
opens
unique
avenues
for
further
research
innovation.
Lastly,
environmental
monitoring
also
benefited
from
algorithms,
tracking
analysis
changes
informed
decision-making
towards
sustainable
future.
illuminates
transformative
potential
detection,
paving
way
ongoing
upcoming
5.0.
These
technologies
shaping
smarter,
more
connected,
future
across
sectors.
International Journal of Mathematical Education in Science and Technology,
Journal Year:
2024,
Volume and Issue:
unknown, P. 1 - 30
Published: May 28, 2024
This
study
investigates
the
utilisation
and
perceptions
of
artificial
intelligence
(AI)
applications
among
mathematics
science
teachers
in
enhancing
students'
learning
experience
classrooms.
One
prominent
AI
application
this
research
seeks
to
explore,
given
its
recent
rise
popularity
usage,
is
ChatGPT.
The
aims
explore
frequency
purpose
ChatGPT
potential
for
student
engagement,
implementation's
perceived
effectiveness,
benefits,
challenges.
A
sample
109
respondents
was
surveyed
gather
insights
into
usage
patterns
findings
shed
light
on
how
utilise
ChatGPT,
including
generating
examples,
assessing
difficulty,
providing
explanations,
supporting
problem-solving,
test
preparation.
Additionally,
reveals
that
shows
promise
engagement
understanding.
However,
highlighted
challenges
such
as
accuracy,
connectivity,
language
limitations.
These
contribute
our
understanding
role
technologies,
specifically
educational
settings
provide
valuable
effective
integration
teaching
practices
various
course
contents
topics.
SSRN Electronic Journal,
Journal Year:
2023,
Volume and Issue:
unknown
Published: Jan. 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