[HTML][HTML] A survey of image-based computational learning techniques for frost detection in plants
Frost damage is one of the major concerns for crop growers as it can impact the growth of
the plants and hence, yields. Early detection of frost can help farmers mitigating its impact. In …
the plants and hence, yields. Early detection of frost can help farmers mitigating its impact. In …
Machine learning-based detection of freezing events using infrared thermography
Frost can cause irreversible damage to plant tissue and can significantly reduce yields and
quality. A thorough understanding of the freezing dynamics is crucial to developing …
quality. A thorough understanding of the freezing dynamics is crucial to developing …
AC.RankA: Rule Ranking Method via Aggregation of Objective Measures for Associative Classifiers
M Dall'Agnol, VO De Carvalho - IEEE Access, 2024 - ieeexplore.ieee.org
Among the inherently interpretable learning algorithms are associative classifiers, which are
induced in steps. Regarding the ranking step, it is carried out using objective measures in …
induced in steps. Regarding the ranking step, it is carried out using objective measures in …
MoMAC: Multi-objective optimization to combine multiple association rules into an interpretable classification
A crucial characteristic of machine learning models in various domains (such as medical
diagnosis, financial analysis, or real-time process monitoring) is the interpretability. The …
diagnosis, financial analysis, or real-time process monitoring) is the interpretability. The …
ACMKC: A Compact Associative Classification Model Using K-Modes Clustering with Rule Representations by Coverage
The generation and analysis of vast amounts of data have become increasingly prevalent in
diverse applications. In this study, we propose a novel approach to address the challenge of …
diverse applications. In this study, we propose a novel approach to address the challenge of …
Automation in Agriculture: A Systematic Survey of Research Activities in Agriculture Decision Support Systems Using Machine Learning
S Vispute, ML Saini - Futuristic Trends in Networks and Computing …, 2022 - Springer
In this age of automation, Machine learning (ML) plays the main role in agriculture sector to
suggest suitable advice, crop advice, which includes decisions of growing crops, and advice …
suggest suitable advice, crop advice, which includes decisions of growing crops, and advice …
Distance based clustering of class association rules to build a compact, accurate and descriptive classifier
Huge amounts of data are being collected and analyzed nowadays. By using the popular
rule-learning algorithms, the number of rule discovered on those “big” datasets can easily …
rule-learning algorithms, the number of rule discovered on those “big” datasets can easily …
Identifying precursors to long-term crisis in veterans using associative classifier
Post-Traumatic Stress Disorder (PTSD) is one of the most common mental health disorders
prevalent in the US. Most alarming, PTSD occurs at double the rate for combat veterans …
prevalent in the US. Most alarming, PTSD occurs at double the rate for combat veterans …
CMAC: clustering class association rules to form a compact and meaningful associative classifier
Huge amounts of data are being collected and analyzed nowadays. By using the popular
rule-learning algorithms, the number of rules discovered on those big datasets can easily …
rule-learning algorithms, the number of rules discovered on those big datasets can easily …
The Effect of “Directness” of the Distance Metric to Produce Compact and Accurate Associative Classification Models
Machine learning techniques are ever prevalent as datasets continue to grow daily.
Associative classification (AC), which combines classification and association rule mining …
Associative classification (AC), which combines classification and association rule mining …