MACHINE LEARNING APPLICATIONS IN CIVIL ENGINEERING.

Machine intelligence in mechanical engineering /
I whakaputaina: (2024)

Machine learning for small bodies in the solar system /
I whakaputaina: (2025)

STATISTICAL ANALYSIS FOR CIVIL ENGINEERS : mathematical theory and applied experiment design.
mā: AL-AZZAWI, ADEL A.
I whakaputaina: (2024)

Machine Learning Applications in Industrial Solid Ash.
mā: Qi, Chongchong
I whakaputaina: (2023)

Interpretable machine learning for the analysis, design, assessment, and informed decision making for civil infrastructure /
I whakaputaina: (2024)

Synthetic data and generative AI /
mā: Granville, Vincent (Ph. D.)
I whakaputaina: (2024)

A biologist's guide to artificial intelligence : building the foundations of artificial intelligence and machine learning for achieving advancements in life sciences /
I whakaputaina: (2024)

Many-sorted algebras for deep learning and quantum technology /
mā: Girardina, Charles R.
I whakaputaina: (2024)

Green machine learning and big data for smart grids : practices and applications /
I whakaputaina: (2025)

Machine learning models and architectures for biomedical signal processing /
I whakaputaina: (2025)

Machine learning in manufacturing : quality 4.0 and the zero defects vision /
mā: Escobar, Carlos A.,eauthor, me ētahi atu.
I whakaputaina: (2024)

TinyML for edge intelligence in IoT and LPWAN networks /
I whakaputaina: (2024)

Cognitive science, computational intelligence, and data analytics : methods and applications with Python /
mā: Khare, Vikas, me ētahi atu.
I whakaputaina: (2024)

Advances in Machine Learning and Image Analysis for GeoAI /
I whakaputaina: (2024)

CHITOSAN-BASED NANOPARTICLES FOR BIOMEDICAL APPLICATIONS.
I whakaputaina: (2024)

Internet of Things and machine learning for type I and type II diabetes : use cases /
I whakaputaina: (2024)

Human and animal microbiome engineering /
I whakaputaina: (2025)

Next generation eHealth : applied data science, machine learning and extreme computational intelligence /
I whakaputaina: (2025)

Bio-inspired strategies for modeling and detection in diabetes mellitus treatment /
mā: Alanis, Alma Y., me ētahi atu.
I whakaputaina: (2024)

Machining principles for shape generation of metals /
mā: Furukawa, Yuji
I whakaputaina: (2024)

Deep learning applications in translational bioinformatics.
I whakaputaina: (2024)

Iris and periocular recognition using deep learning /
mā: Kumar, Ajay
I whakaputaina: (2024)

Transfer Learning for Rotary Machine Fault Diagnosis and Prognosis /
mā: Yan, Ruqiang
I whakaputaina: (2024)

Signal processing driven machine learning techniques for cardiovascular data processing /
I whakaputaina: (2024)

Practical petrophysics /
mā: Kennedy, Martin (Petroleum engineering consultant)
I whakaputaina: (2025)

Exergy analysis of heating and cooling /
mā: Favrat, Daniel, me ētahi atu.
I whakaputaina: (2025)

Photoelectrochemical engineering for solar harvesting : chemistry, materials, devices /
I whakaputaina: (2024)

Medical modeling : the application of advanced design and additive manufacturing techniques in medicine /
mā: Bibb, Richard, me ētahi atu.
I whakaputaina: (2024)

Nanofungicides : novel applications in plant disease control /
I whakaputaina: (2024)

Volcanic Seismology
mā: Zobin, Vyacheslav M.
I whakaputaina: (2024)

Nanozymes : approachable bio-applications /
I whakaputaina: (2024)

Advanced Functional Materials and Methods for Photodegradation of Toxic Pollutants
I whakaputaina: (2023)

Innovating health against future pandemic /
I whakaputaina: (2024)

Advances in thermoplastic elastomers : challenges and opportunities /
I whakaputaina: (2024)

Full-spectrum responsive photocatalytic materials : from fundamentals to applications /
mā: Wang, Chuanyi, me ētahi atu.
I whakaputaina: (2024)

Medical additive manufacturing : concepts and fundamentals /
I whakaputaina: (2024)