[PDF][PDF] Cannabis sativa: applications of artificial intelligence and plant tissue culture for micropropagation

RB Malabadi, TL Nethravathi, KP Kolkar… - … Journal of Research …, 2023 - researchgate.net
This review paper highlights about the important applications of Artificial Intelligence (AI)
and in vitro micropropagation of Cannabis. Cannabis micropropagation has largely been an …

[HTML][HTML] Towards AI-governance in psychosocial care: A systematic literature review analysis

X Wang, M Oussalah, M Niemilä, T Ristikari… - Journal of Open …, 2023 - Elsevier
With increased digitalization and e-government services, Artificial Intelligence (AI) gained
momentum. This paper focuses on AI-governance in Child Social Care field, exploring how …

Substance use prediction using artificial intelligence techniques

A Unlu, A Subasi - Journal of Computational Social Science, 2025 - Springer
Substance use poses a significant public health challenge worldwide, including in Finland.
This study seeks to predict patterns of substance use, aiming to identify the driving factors …

Exploring Machine Learning to Support Decision-Making for Placement Stabilization and Preservation in Child Welfare

KHB Chor, Z Luo, KT Rodolfa, R Ghani - Journal of Child and Family …, 2025 - Springer
Abstract The Family First Prevention Services Act requires youth's placement in residential
care to be clinically appropriate, time-limited, and only when youth's needs cannot be met in …

Stochastic supervised neuro-architecture design for analyzing vector-borne plant virus epidemics with latency and incubation effects

N Anwar, A Ghaffar, MAZ Raja, I Ahmad… - The European Physical …, 2024 - Springer
Comprehending the latent and incubation phases is crucial for the proliferation of infectious
viruses and serves as a foundation for developing measures to prevent and govern …

Predicting Child Development Status: Can Machine Learning Helpƒ

O Coban, E Sehitoglu… - 2024 4th International …, 2024 - ieeexplore.ieee.org
Machine Learning (ML) has recently been used to solve different problems including
detection of child development status, meeting children's individual learning needs …

Técnicas de Machine Learning aplicadas al consumo de sustancias psicoactivas ilícitas: Un mapeo sistémico

JEC Yule, HA Ordoñez - Inge Cuc, 2023 - revistascientificas.cuc.edu.co
Introducción—El consumo de sustancias psicoactivas ilícitas es una problemática que se
vive a diario, donde personas de diferentes edades se han visto implicadas, resaltando que …

[HTML][HTML] Typologies of Adolescent Delinquent Behaviors and Prediction of Latent Delinquent Groups Using Machine Learning Algorithms

재윤이, 지수박 - Korean Journal of Child Studies, 2022 - childstudies.org
Objectives With the advances in digital technologies, adolescents are more likely to engage
in multiple types of delinquent behaviors; however, few studies have considered various …

청소년비행의잠재집단분류및머신러닝알고리즘을활용한주요예측변인검증

이재윤, 박지수 - 아동학회지, 2022 - dbpia.co.kr
Objectives: With the advances in digital technologies, adolescents are more likely to engage
in multiple types of delinquent behaviors; however, few studies have considered various …

[PDF][PDF] Applications of Artificial Intelligence (AI) in Cannabis Industries: In Vitro Plant Tissue Culture

RB Malabadi, TL Nethravathi, KP Kolkar… - researchgate.net
This review paper highlights the application of artificial intelligence (AI) in Cannabis
industries. Growing Cannabis especially on a large scale can come with several complex …