Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses
Bioengineering,
Journal Year:
2024,
Volume and Issue:
11(11), P. 1143 - 1143
Published: Nov. 13, 2024
This
review
examines
the
increasing
application
of
artificial
intelligence
(AI)
and/or
machine
learning
(ML)
in
microalgae
processes,
focusing
on
their
ability
to
improve
production
efficiency,
yield,
and
process
control.
AI/ML
technologies
are
used
various
aspects
such
as
real-time
monitoring,
species
identification,
optimization
growth
conditions,
harvesting,
purification
bioproducts.
Commonly
employed
ML
algorithms,
including
support
vector
(SVM),
genetic
algorithm
(GA),
decision
tree
(DT),
random
forest
(RF),
neural
network
(ANN),
deep
(DL),
each
have
unique
strengths
but
also
present
challenges,
computational
demands,
overfitting,
transparency.
Despite
these
hurdles,
shown
significant
improvements
system
performance,
scalability,
resource
well
cutting
costs,
minimizing
downtime,
reducing
environmental
impact.
However,
broader
implementations
face
obstacles,
data
availability,
model
complexity,
scalability
issues,
cybersecurity
threats,
regulatory
challenges.
To
address
solutions,
use
simulation-based
data,
modular
designs,
adaptive
models,
been
proposed.
contributes
literature
by
offering
a
thorough
analysis
practical
applications,
benefits
critical
insights
into
this
fast-evolving
field.
Language: Английский
Enhanced lipid production of Auxenochlorella pyrenoidosa using biochar-pretreated tobacco industry wastewater
Ting-Bin Hao,
No information about this author
Zhonghong Zhang,
No information about this author
Wei-Dong Yang
No information about this author
et al.
Chemical Engineering Journal,
Journal Year:
2024,
Volume and Issue:
499, P. 156007 - 156007
Published: Sept. 20, 2024
Language: Английский
Efficient nutrient sequestration and biomolecule production by Chlorella Sorokiniana MSP1 cultivated in industrial wastewater
Journal of the Taiwan Institute of Chemical Engineers,
Journal Year:
2025,
Volume and Issue:
unknown, P. 105979 - 105979
Published: Feb. 1, 2025
Language: Английский
Transformative Intelligence
Advances in computational intelligence and robotics book series,
Journal Year:
2025,
Volume and Issue:
unknown, P. 323 - 338
Published: March 7, 2025
This
chapter
explores
the
pivotal
role
of
Artificial
Intelligence
in
revolutionizing
wastewater
treatment.
Fuzzy
Logic
Controllers
adeptly
handle
incomplete
data,
and
Neural
Networks
(ANNs)
model
intricate
processes,
while
Neuro-Fuzzy
Systems
seamlessly
integrate
fuzzy
logic
ANNs
for
superior
water
disinfection
control.
State
observers
elevate
concentration
estimation
accuracy,
metaheuristic
algorithms
such
as
PSO
ABC
optimize
control
processes.
AI-driven
Fault
Detection
Isolation
enhance
safety
operations.
Beyond
control,
AI
shapes
intelligent
management
smart
cities
energy-saving
strategies,
providing
a
versatile
framework
tackling
complexities.
In
conclusion,
emphasizes
significance
algorithms,
highlighting
their
adaptability
efficiency
transformative
landscape
integration
not
only
ensures
operational
efficacy
but
also
sets
stage
sustainable
environmental
management,
it
is
enhanced
with
internet
things.
Language: Английский
Design, construction and evaluation of collaborative bio-system of Vibrio fluvialis with Chlorella sorokiniana for treating actual printing and dyeing wastewater
Chemical Engineering Journal,
Journal Year:
2024,
Volume and Issue:
500, P. 157459 - 157459
Published: Nov. 1, 2024
Language: Английский
Effect of porosity and crystallinity of ceramic nanoparticles on advanced oxidation process for remediation of organic pollutant and corresponding artificial neural network model
Materials Science in Semiconductor Processing,
Journal Year:
2024,
Volume and Issue:
188, P. 109248 - 109248
Published: Dec. 29, 2024
Language: Английский