Search Results - (( java implementation modified algorithm ) OR ( learning modality learning algorithm ))
Search alternatives:
- implementation modified »
- java implementation »
- learning algorithm »
- learning modality »
-
1
Learning a deeply supervised multi-modal RGB-D embedding for semantic scene and object category recognition
Published 2017“…This technique motivates bilateral transfer learning between the modalities by taking the outer product of each feature extractor output. …”
Get full text
Get full text
Get full text
Get full text
Article -
2
Direct approach for mining association rules from structured XML data
Published 2012“…The thesis also provides a two different implementation of the modified FLEX algorithm using a java based parsers and XQuery implementation. …”
Get full text
Get full text
Thesis -
3
Operational structural damage identification using de-noised modal feature in machine learning / Chen Shilei
Published 2021“…By integrating ISMA, both supervised and unsupervised machine learning algorithms were investigated to develop real-time damage identification schemes. …”
Get full text
Get full text
Get full text
Thesis -
4
Effect of different modalities of facial images for diagnosis of ASD by deep neural network
Published 2024“…This research aims to explore the potential of various facial image types in diagnosing Autism Spectrum Disorder (ASD) through the application of deep learning neural networks. It delves into how deep learning algorithms perform with different facial image modalities, especially 2D and 3D, while addressing specific challenges associated with each. …”
Get full text
Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
5
Real time electrocardiogram identification with multi-modal machine learning algorithms
Published 2017Get full text
Get full text
Get full text
Get full text
Proceeding Paper -
6
Adaptive Neuro Fuzzy Inference System (ANFIS) and Artificial Neural Networks (ANNs) for structural damage identification
Published 2013“…However the proposed ANFIS architecture using hybrid learning algorithm was found to perform better than the multilayer feedforward ANN which learns using the backpropagation algorithm. …”
Get full text
Get full text
Article -
7
-
8
OPTIMIZED MIN-MIN TASK SCHEDULING ALGORITHM FOR SCIENTIFIC WORKFLOWS IN A CLOUD ENVIRONMENT
Published 2023“…To achieve this, we propose a new noble mechanism called Optimized Min-Min (OMin-Min) algorithm, inspired by the Min-Min algorithm. The objectives of this work are: i) to provide a comprehensive review of the cloud and scheduling process; ii) to classify the scheduling strategies and scientific workflows; iii) to implement our proposed algorithm with various scheduling algorithms (i.e., Min-Min, Round-Robin, Max-Min, and Modified Max-Min) for performance comparison, within different cloudlet sizes (i.e., small, medium, large, and heavy) in three scientific workflows (i.e., Montage, Epigenomics, and SIPHT); and iv) to investigate the performance of the implemented algorithms by using CloudSim. …”
Review -
9
Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…This survey reviewed 22 machine learning and 88 deep learning-based segmentation of prostate MRI papers, including all MRI modalities. …”
Get full text
Get full text
Article -
10
Recent Automatic Segmentation Algorithms of MRI Prostate Regions: A Review
Published 2021“…This survey reviewed 22 machine learning and 88 deep learning-based segmentation of prostate MRI papers, including all MRI modalities. …”
Get full text
Get full text
Article -
11
Prevention And Detection Mechanism For Security In Passive Rfid System
Published 2013“…The proposed protocol is designed with lightweight cryptographic algorithm, including XOR, Hamming distance, rotation and a modified linear congruential generator (MLCG). …”
Get full text
Get full text
Thesis -
12
-
13
Data mining for structural damage identification using hybrid artificial neural network based algorithm for beam and slab girder / Meisam Gordan
Published 2020“…To this end, experimental modal analysis of aforesaid structures was carried out by introducing different damage scenarios to generate the modal parameter database. …”
Get full text
Get full text
Get full text
Thesis -
14
Automatic generation of content security policy to mitigate cross site scripting
Published 2016“…It can be extended to support generating CSP for contents that are modified by JavaScript after loading. Current approach inspects the static contents of URLs.…”
Get full text
Get full text
Conference or Workshop Item -
15
Development of damage identification scheme using de-noised modal frequency response function data with artificial neural network / Mohamad Izzudin Hussein Shah
Published 2018“…Multilayer Perceptron (MLP) with backpropagation learning algorithm ANN is used in this study. Moreover, this study needs to minimize the number of samples used by reducing number of sensors and frequency range used without affecting the performance accuracy. …”
Get full text
Get full text
Thesis -
16
Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Published 2019“…Recently, deep learning algorithms for automatic feature representation have also been proposed to lessen the burden of reliance on handcrafted features and to increase performance accuracy. …”
Get full text
Get full text
Article -
17
Revolutionizing video analytics: a review of action recognition using 3D
Published 2024“…This paper provides an overview of recent research in 3D video action recognition, concentrating on different deep learning architectures, self-supervised learning, graph-based methods, fewshot and zero-shot learning, cross-modal action understanding, and model interpretability. …”
Get full text
Get full text
Article -
18
Cardiotocogram Data Classification using Random Forest based Machine Learning Algorithm
Published 2020Get full text
Get full text
Get full text
Get full text
Conference or Workshop Item -
19
Damage identification using experimental modal analysis and adaptive neuro-fuzzy interface system (ANFIS)
Published 2012“…The adaptive neuro-fuzzy inference system (ANFIS) is a process for mapping from a given input to a single output using the fuzzy logic and neuro-adaptive learning algorithms. Using a given input-output data set, ANFIS constructs a Fuzzy Inference System (FIS) whose fuzzy membership function parameters are adjusted using combination of back propagation algorithm with a least square type of method. …”
Get full text
Get full text
Get full text
Conference or Workshop Item -
20
Multi-sensor fusion and deep learning framework for automatic human activity detection and health monitoring using motion sensor data / Henry Friday Nweke
Published 2019“…This is further worsen by the use of single sensors modality and machine learning algorithms. Furthermore, developing robust and efficient methods are required to handle issues such as orientation and position displacement, sensor fusion and feature incompatibility, automatic feature representation, and how to minimize intra-class similarity and inter-class variability. …”
Get full text
Get full text
Get full text
Thesis
