Search Results - (( java application learning algorithm ) OR ( using active selection algorithm ))
Search alternatives:
- application learning »
- selection algorithm »
- learning algorithm »
- java application »
- active selection »
- using active »
-
1
Features selection for intrusion detection system using hybridize PSO-SVM
Published 2016“…An Intrusion Detection System is software or application which is used to detect thread, malicious activities and the unauthorized access to the computer system and warn the administrators by generating alarms. …”
Get full text
Get full text
Thesis -
2
-
3
-
4
An Educational Tool Aimed at Learning Metaheuristics
Published 2020“…In this paper, we introduce an education tool for learning metaheuristic algorithms that allows displaying the convergence speed of the corresponding metaheuristic upon setting/changing the dependable parameters. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
5
A Feature Ranking Algorithm in Pragmatic Quality Factor Model for Software Quality Assessment
Published 2013“…The methodology used consists of theoretical study, design of formal framework on intelligent software quality, identification of Feature Ranking Technique (FRT), construction and evaluation of FRA algorithm. The assessment of quality attributes has been improved using FRA algorithm enriched with a formula to calculate the priority of attributes and followed by learning adaptation through Java Library for Multi Label Learning (MULAN) application. …”
Get full text
Get full text
Get full text
Thesis -
6
Adoption of machine learning algorithm for analysing supporters and non supporters feedback on political posts / Ogunfolajin Maruff Tunde
Published 2022“…This thesis is based on the application of sentiment classification algorithm to tweet data with the goal of classifying messages based on the polarity of sentiment towards a particular topic (or subject matter). …”
Get full text
Get full text
Get full text
Thesis -
7
Enhancing Wearable-Based Human Activity Recognition with Binary Nature-Inspired Optimization Algorithms for Feature Selection
Published 2026“…This research paper explores the performance of binary nature-inspired optimization algorithms as feature selection to enhance the identification of human activities using wearable technology. …”
Get full text
Get full text
Get full text
Get full text
Article -
8
Development Of Machine Learning User Interface For Pump Diagnostics
Published 2022Get full text
Get full text
Monograph -
9
Two-stage feature selection using ranking self-adaptive differential evolution algorithm for recognition of acceleration activity
Published 2018“…Consequently, this paper proposes a ranking self-adaptive differential evolution (rsaDE) feature selection algorithm. The proposed algorithm is capable of selecting the optimal feature subsets while improving the recognition of acceleration activity using a minimum number of features. …”
Get full text
Get full text
Get full text
Article -
10
AI powered asthma prediction towards treatment formulation: an android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
Get full text
Get full text
Get full text
Article -
11
Activity recognition using one-versus-all strategy with relief-f and self-adaptive algorithm
Published 2018“…Experiments were carried out to study the performance of our proposed algorithm using publicly activity datasets namely Physical Activity Monitoring for Aging People. …”
Get full text
Get full text
Conference or Workshop Item -
12
AI powered asthma prediction towards treatment formulation : An android app approach
Published 2022“…TensorFlow is utilized to integrate machine learning with an Android application. We accomplished asthma therapy using an Android application developed in Java and running on the Android Studio platform.…”
Get full text
Get full text
Get full text
Article -
13
-
14
Development of a new robust hybrid automata algorithm based on surface electromyography (SEMG) signal for instrumented wheelchair control
Published 2020“…This method would be a control method to activate power assist system and selected based on conditions set in the algorithm. …”
Get full text
Get full text
Thesis -
15
Class binarization with self-adaptive algorithm to improve human activity recognition
Published 2018“…Two publicly activity datasets are used; Wireless Sensor Data Mining (WISDM) and Physical Activity Monitoring for Aging People (PAMAP2). …”
Get full text
Get full text
Thesis -
16
Feature Selection and Classifier Parameter Estimation for Egg Signal Peak Detection using Gravitational Search Algorithm
Published 2014“…This study focuses on using GSA method, a new computational intelligence algorithm. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
17
Multivariable PID controller design tuning using bat algorithm for activated sludge process
Published 2018Get full text
Get full text
Get full text
Conference or Workshop Item -
18
Talkout : Protecting mental health application with a lightweight message encryption
Published 2022“…The investigation of lightweight message encryption algorithms is conducted with systematic quantitative literature and experiment implementation in Java and Android running environment. …”
Get full text
Get full text
Get full text
Academic Exercise -
19
Algorithm enhancement for host-based intrusion detection system using discriminant analysis
Published 2004“…Anomaly detection algorithms model normal behavior. Anomaly detection models compare sensor data to normal patterns learned from the training data by using statistical method and try to detect activity that deviates from normal activity. …”
Get full text
Get full text
Thesis -
20
Development of compound clustering techniques using hybrid soft-computing algorithms
Published 2006“…Hierarchical clustering methods such as Ward’s and Group Average are considered industry standard for compound selection purposes. Previously, there is limited work on the clustering and classification of biologically active compounds into their activity based classes using fuzzy and neural network. …”
Get full text
Get full text
Monograph
