Order forecasting is provided with demand in such a way that the companies are able to plan for the demand, manage their stocks prudently, and plan their production and distribution activities effectively. Forecasting in this regard will also assist in minimising overstocking, stock deprivation, operational costs and increased profits.
Iris flower group has 3 different species. 1. Setosa, 2. Versicolor, 3. Virginica. It is very difficult to classify the species by just looking at them and measuring their sepal and petals. Iris flower classification is useful for botany people to automate the process of Iris flower classification, so the work can be done easily, it is a foundational dataset for the learners to know and gain knowledge about classification of categories.
Recent revelations of a sophisticated attacker have underscored the vulnerability of data privacy, as they have been able to breach encryption by acquiring cryptographic keys through coercion or exploiting weaknesses in cryptographic software. Once these keys are compromised, the only recourse to safeguard data privacy is to restrict the attacker's access to the ciphertext.
This project explores the use of machine learning algorithms to pre- dict diseases based on user-input symptoms, employing three popular models: Support Vector Machine (SVM), Naive Bayes, and Decision Tree Classifier.
1. Enhancing the Performance of Intrusion Detection Systems using Hybrid Bio-Inspired optimization Algorithms
- Anshul Sharma, S. Indra Priyadharshani Download
This research presents a novel hybrid feature selection method, integrating filter-based feature selection using mutual information and ANOVA F-value with the Grey Wolf Optimizer (GWO) and Particle Swarm Optimization (PSO), to enhance the accuracy and efficiency of classification tasks in network intrusion detection systems.