ISSN: 1683-3198
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e-ISSN: 2309-4524
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DOI: 10.34028/iajit
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The Strategy of Discriminating False Comments on the Internet by Fusing Probabilistic Topic and Word Vector Models
Fei Long
#Probabilistic topics
#word vectors
#online reviews
#false detection
#CNN
Detecting Spam Reviews in Arabic by Deep Learning
Eman Aljadani,Fatmah Assiri,Areej Alshutayri
#Spam reviews
#spam reviews detection
#arabic language
#deep learning
#convolutional neural network
#bidirectional long short-term memory
Leveraging on Synthetic Data Generation Techniques to Train Machine Learning Models for Tenaga Nasional Berhad Stock Price Movement Prediction
Nur Aliah Syahmina Mohd Nazarudin,Nor Hapiza Mohd Ariffin,Ruhaila Maskat
#Stock price prediction
#machine learning
#synthetic data generation
Loitering Based Human Crime Detection in Video Surveillance using Beluga Whale Adam Dingo Optimizer and Deep Convolutional Neural Network
Nischita Waddenkery,Shridevi Soma
#Video surveillance
#loitering behavior
#human crime detection
#enhanced euclidean distance
#deep learning
FPGA based Flexible Implementation of Light Weight Inference on Deep Convolutional Neural Networks
Shefa Dawwd
#Standard convolution
#depthwise separable convolution
#inference
#deep convolutional neural networks
#FPGA
FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks
Jun Wang,Yuanxi Wang
#CNN
#GAN
#hydrogen gas
#sensors
#fault
#pattern recognition
FD Technology for HSs based on Deep Convolutional Generative Adversarial Networks
Jun Wang,Yuanxi Wang
#CNN
#GAN
#hydrogen gas
#sensors
#fault
#pattern recognition
Classification of Breast Cancer using Ensemble Filter Feature Selection with Triplet Attention Based Efficient Net Classifier
Bangalore Nagaraj Madhukar,Shivanandamurthy Hiremath Bharathi,Matta Polnaya Ashwin
#Breast cancer classification
#histopathology image
#ensemble filter feature selection
#triplet attention based EfficientNet
#TAENet
ERDAP: A Novel Method of Event Relation Data Augmentation Based on Relation Prediction
Ruijuan Hu,Haiyan Liu,Wentao Yu
#Relation prediction
#event relation
#data augmentation
#graph convolutional networks
#causality extraction
Real-Time Sign Language Fingerspelling Recognition using Convolutional Neural Network
Abiodun Oguntimilehin,Kolade Balogun
#Communication
#deep learning
#sign language
#hand gesture recognition
Muzzle Classification Using Neural Networks
Ibrahim El-Henawy, Hazem El-bakry, and Hagar El-Hadad
#Muzzle classification
#image processing
#neural networks
An Unsupervised Feed Forward Neural Network Method for Efficient Clustering
Roya Asadi,Mitra Asadi,Shokoofeh Asadi
#Artificial neural network
#feed forward neural network
#unsupervised learning
#clustering
#real weight
Computational Intelligence Based Point of Interest Detection by Video Surveillance Implementations
Emre Tercan,Serkan Tapkın,Furkan Küçük,Ali Demirtaş,Ahmet Özbayoğlu,Abdussamet Türker
#Point of interest detection
#YOLO algorithm
#R-CNN
#TOOD
#deep learning
Deep Learning Inpainting Model on Digital and Medical Images-A Review
Jennyfer Susan,Parthasarathy Subashini
#Image inpainting
#image restoration
#deep learning
#supervised method
#unsupervised method
RoboGuard: Enhancing Robotic System Security with Ensemble Learning
Ali Al Maqousi,Mohammad Alauthman
#Robotic systems
#cybersecurity
#malware detection
#machine learning
#ensemble learning
#synthetic minority over-sampling technique
Design and Study of Zombie Enterprise Classification and Recognition Systems Based on Ensemble Learning
Shutong Pang,Ziwei Yang,Chengyou Cai,Zhimin Li
#Integrated learning
#corporate portrait
#classification and identification
#strong supervision model
Performance Comparison of Multiple ANN Optimizer on IoT-enabled Sensor Fire Dataset
Sudip Suklabaidya,Indrani Das
#Sensor dataset
#fire detection
#ANN
#SGD
#adam
#adamax
Intelligent Recognition of Gas-Liquid Two-Phase Flow Based on Optical Image
Shujuan Wang,Haofu Guan,Yuqing Wang,Kanghui Zhang,Yuntao Dai,Shouxu Qiao,Jihong Shen
#Optical image
#gas-liquid two-phase flow
#machine vision
#FCN
#U-Net
Generating Embedding Features Using Deep Learning for Ethnics Recognition
Mohammed Alghaili,Zhiyong Li,Ahmed AlBdairi,Malasy Katiyalath
#Computer vision
#machine learning
#ethnics identification
#deep learning
Machine Learning Models for Statistical Analysis
Marko Grebovic,Luka Filipovic,Ivana Katnic,Milica Vukotic,Tomo Popovic
#Machine learning
#artificial neural networks
#statistical models
#accuracy measures
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