Object tracking: A survey
The goal of this article is to review the state-of-the-art tracking methods, classify them into
different categories, and identify new trends. Object tracking, in general, is a challenging …
different categories, and identify new trends. Object tracking, in general, is a challenging …
Application of K-means and genetic algorithms for dimension reduction by integrating SVM for diabetes diagnosis
T Santhanam, MS Padmavathi - Procedia Computer Science, 2015 - Elsevier
Vast amount of data available in health care industry is difficult to handle, hence mining is
necessary to find the necessary pattern and relationship among the features available …
necessary to find the necessary pattern and relationship among the features available …
Feature selection method based on artificial bee colony algorithm and support vector machines for medical datasets classification
This paper offers a hybrid approach that uses the artificial bee colony (ABC) algorithm for
feature selection and support vector machines for classification. The purpose of this paper is …
feature selection and support vector machines for classification. The purpose of this paper is …
An expert system for diabetes prediction using auto tuned multi-layer perceptron
Medical Expert Systems is an active research area where data analysts and medical experts
are continuously collaborating to make these systems more accurate and therefore, more …
are continuously collaborating to make these systems more accurate and therefore, more …
Incorporating intelligence in fish feeding system for dispensing feed based on fish feeding intensity
The amount of feed dispense to match fish appetite plays a significant role in increasing fish
cultivation. However, measuring the quantity of fish feed intake remains a critical challenge …
cultivation. However, measuring the quantity of fish feed intake remains a critical challenge …
[PDF][PDF] Computer vision-based plant disease identification system: a review
F Muhammed - Computer, 2022 - academia.edu
The quality and quantity of agricultural products is being affected by numerous plant
diseases. With the advent of the fourth industrial revolution, detection of plant diseases using …
diseases. With the advent of the fourth industrial revolution, detection of plant diseases using …
Auto-MeDiSine: an auto-tunable medical decision support engine using an automated class outlier detection method and AutoMLP
With advanced data analysis techniques, efforts for more accurate decision support systems
for disease prediction are on the rise. According to the World Health Organization, diabetes …
for disease prediction are on the rise. According to the World Health Organization, diabetes …
[PDF][PDF] A new data preparation method based on clustering algorithms for diagnosis systems of heart and diabetes diseases.
The most important factors that prevent pattern recognition from functioning rapidly and
effectively are the noisy and inconsistent data in databases. This article presents a new data …
effectively are the noisy and inconsistent data in databases. This article presents a new data …
Exponential stabilization of delayed complex-valued neural networks with aperiodic sampling: A free-matrix-based time-dependent Lyapunov functional method
In this paper, the exponential stabilization of delayed complex-valued neural networks
(DCNNs) is addressed via sampled-data control. First, aperiodic sampled-data control …
(DCNNs) is addressed via sampled-data control. First, aperiodic sampled-data control …
Polygamy based genetic algorithm for unmanned aerial vehicle (uav) power optimization: A proposal
One of the challenges in the operation of Unmanned Aerial Vehicle (UAV) is power
optimization under different operation mode. In solving the aforementioned problem …
optimization under different operation mode. In solving the aforementioned problem …