Search Results - (( java implication based algorithm ) OR ( data classification protocol algorithm ))
Search alternatives:
- classification protocol »
- data classification »
- protocol algorithm »
- implication based »
- java implication »
-
1
Text Extraction Algorithm for Web Text Classification
Published 2010“…This study provides a text extraction algorithm for web text classification. The extraction algorithm consists of three phases namely web page extraction, rule formulation, and algorithm validation. …”
Get full text
Get full text
Get full text
Thesis -
2
A protocol for developing a classification system of mosquitoes using transfer learning
Published 2022“…Transfer learning is a type of machine learning that is viable and durable in image classification with limited training images. This protocol aims to develop step-by-step procedure in developing a classification system with transfer learning algorithm for mosquito, we demonstrate the protocol to classify two species of Aedes mosquito - Aedes aegypti L. and Aedes albopitus L, but user can adopt the protocol for higher number of species classification. …”
Get full text
Get full text
Get full text
Article -
3
Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…Presently, the classification accuracy of the assessment is proportional to the size of the data. …”
Get full text
Get full text
Thesis -
4
-
5
Joint routing protocol and image compression algorithm for prolonging node lifetime in wireless sensor network
Published 2018“…Thus the proposed algorithm prolongs the network under consideration by 57 – 62% as compared to networks with conventional routing protocols.…”
Get full text
Get full text
Get full text
Get full text
Thesis -
6
Detection algorithm for internet worms scanning that used user datagram protocol
Published 2024journal::journal article -
7
Classification model for predictive maintenance of small steam sterilisers
Published 2020“…The classification models were built from multisensory data, obtained from 1000 protocol records of CertoClav Vacuum Pro steam sterilisers. …”
Get full text
Get full text
Get full text
Article -
8
-
9
Internet of Things (IoT) based activity recognition strategies in smart homes: a review
Published 2022“…They often communicate using appropriate protocols such as MQTT, CoAP, or HTTP to ensure the smooth transmission of data used by a variety of smart home services. …”
Get full text
Get full text
Article -
10
Data redundancy reduction scheme for data aggregation in wireless sensor network
Published 2020“…This research proposes Data Redundancy Reduction Scheme (DRRS) which includes three algorithms namely, Metadata Classification (MC), Selection Active Nodes (SAN) and Anomaly Detection (AD) algorithms that works before data aggregation, when multiple composite events simultaneously occur in the different locations within the cluster. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Thesis -
11
Automated feature extraction on brain MRI images for predicting multiple sclerosis patient disability
Published 2022“…The first phase aims to investigate the best types of required data, features and algorithms to be used in the final proposed methodology to predict exact EDSS, and different ranges of EDSS. …”
Get full text
Get full text
Get full text
Thesis -
12
-
13
Cyber attacks analysis and mitigation with machine learning techniques in ICS SCADA systems
Published 2019“…It supervises physical process by collecting data from sensors and performs monitoring, data logging, alarm and diagnostic functions. …”
Get full text
Get full text
Get full text
Article -
14
EEG-based emergency calling system for neurological disorder patient
Published 2025“…The MATLAB Graphical User Interface (GUI) algorithm is constructed to display the EEG data analysis and health status of the Neurological disorder patients. …”
Get full text
Get full text
Conference or Workshop Item -
15
Prediction of sleep pattern for university students using machine learning
Published 2026“…The Random Forest algorithm was employed for classification, evaluated using a 5-Fold Cross-Validation protocol, and achieved an average accuracy of 81.46%. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
16
Classification of acute leukemia using image processing and machine learning techniques / Hayan Tareq Abdul Wahhab
Published 2015“…The methodology presented in this research consisted of several stages namely, image acquisition, image segmentation, feature extraction/selection and, classification. The data was collected from two different sources, University of Malaya Medical Center (UMMC), Malaysia and M. …”
Get full text
Get full text
Thesis -
17
Real-time and predictive analytics of air quality with IoT system: A review
Published 2020“…(ii) Very less integration of IoT together with predictive analytics, it is separately to study for air pollution monitoring system. (iv) Data analytics for Air Pollution Index (API) prediction along with IoT, with various communication protocols can as-sist in the development of real-time, and continuous high precision environmen-tal monitoring systems. v) Machine Learning (ML) Regression algorithm is suit-able for prediction and classification of concentration gas pollutant, while ANN and SVM algorithm is used for forecasting.…”
Get full text
Get full text
Get full text
Book Chapter -
18
Three-dimensional craniometrics identification model and cephalic index classification of Malaysian sub-adults: A multi-slice computed tomography study / Sharifah Nabilah Syed Mohd...
Published 2024“…Discriminant function analysis (DFA), binary logistic regression (BLR), and several machine learning (ML) algorithms (random forest (RF), support vector machines (SVM), and linear discriminant analysis (LDA)) were used to statistically analyse the data. …”
Get full text
Get full text
Get full text
Thesis -
19
Intrusion Detection in Mobile Ad Hoc Networks Using Transductive Machine Learning Techniques
Published 2011“…Moreover, the algorithm can provide a graded confidence that indicates the reliability of the classification. …”
Get full text
Get full text
Get full text
Thesis -
20
Analysis On QOS Parameters To Predict Http Response
Published 2017“…Therefore, the real live world web service label data uses to evaluate the focus parameters using classification machine learning algorithms to process the data. …”
Get full text
Get full text
Get full text
Get full text
Thesis
