[HTML][HTML] Applying case-based reasoning and a learning-based adaptation strategy to irrigation scheduling in grape farming
As a key part of vineyard management, irrigation of grapevines puts forward the need of
scheduling water resources in a more precise and efficient way. Typically, irrigation plans …
scheduling water resources in a more precise and efficient way. Typically, irrigation plans …
An interpretable deep learning based approach for chronic obstructive pulmonary disease using explainable artificial intelligence
Artificial intelligence has become like-humans in thinking and interpretations. But its uses
are still limited and are viewed as black boxes, and this is the most important factor …
are still limited and are viewed as black boxes, and this is the most important factor …
A Further Study on Multiperiod Health Diagnostics Methodology under a Single‐Valued Neutrosophic Set
JC Chou, YF Lin, SSC Lin - Computational and Mathematical …, 2020 - Wiley Online Library
Employing the concept and function of tangency with similarity measures and counterpart
distances for reliable medical consultations has been extensively studied in the past …
distances for reliable medical consultations has been extensively studied in the past …
An associated representation method for defining agricultural cases in a case-based reasoning system for fast case retrieval
As an artificial intelligence technique, case-based reasoning has considerable potential to
build intelligent systems for smart agriculture, providing farmers with advice about farming …
build intelligent systems for smart agriculture, providing farmers with advice about farming …
A local density-based abnormal case removal method for industrial operational optimization under the cbr framework
X Peng, Y Wang, L Guan, Y Xue - Machines, 2022 - mdpi.com
Operational optimization is essential in modern industry and unsuitable operations will
deteriorate the performance of industrial processes. Since measuring error and multiple …
deteriorate the performance of industrial processes. Since measuring error and multiple …
A low-latency and energy-efficient neighbor discovery algorithm for wireless sensor networks
Wireless sensor networks have been widely adopted, and neighbor discovery is an
essential step to construct the networks. Most existing studies on neighbor discovery are …
essential step to construct the networks. Most existing studies on neighbor discovery are …
An efficient case retrieval algorithm for agricultural case-based reasoning systems, with consideration of case base maintenance
Case-based reasoning has considerable potential to model decision support systems for
smart agriculture, assisting farmers in managing farming operations. However, with the …
smart agriculture, assisting farmers in managing farming operations. However, with the …
Representative Case-Based Retrieval to Support Case-Based Reasoning for Prediction
Case-based reasoning (CBR) is used to resolve a new problem by searching in past similar
situations. It is widely used for prediction. However, CBR induces many shortcomings …
situations. It is widely used for prediction. However, CBR induces many shortcomings …
Designing an Effort Estimation Process for Embedded Software Projects
A Sultanbekov - 2024 - aaltodoc.aalto.fi
This thesis proposes a hybrid software development effort estimation approach by exploring
and combining expert-based and data-driven estimation methods. Methods traditionally …
and combining expert-based and data-driven estimation methods. Methods traditionally …
Neuro-fuzzy data mining system for identifying e-commerce related threats/Saibu Aliyu Haruna, Akinyede Raphael Olufemi and Boyinbode Olutayo Kehinde
SAH Haruna, AR Olufemi, BO Kehinde - Malaysian Journal of …, 2020 - ir.uitm.edu.my
E-commerce is driven via Information Technology (IT), especially the web, and it mostly
relies upon on innovative technologies that are facilitated by Electronic Data Interchange …
relies upon on innovative technologies that are facilitated by Electronic Data Interchange …