Deep Learning-Based Control System for Context-Aware Surveillance Using Skeleton Sequences from IP and Drone Camera Video

Vasavi Sanikommu,Sobhana Mummaneni,Novaline Jacob,Emmanuel Sanjay Raj K.C,Bhartendra Kumar,Radha Devi Pullur Variam

#Computer vision #human activity recognition #face recognition #crowd video surveillance #deep learning #feature extraction

Deep Learning-Based Control System for Context-Aware Surveillance Using Skeleton Sequences from IP and Drone Camera video

Vasavi Sanikommu,Sobhana Mummaneni,Novaline Jacob,Emmanuel Sanjay Raj K.C,Bhartendra Kumar,Radha Devi Pullur Variam

#Computer vision #human activity recognition #face recognition #crowd video surveillance #deep learning #feature extraction

Arab Face Recognition and Identification Based on Ethnicity and Gender Using Machine Learning

Mohammed Abual-Rub,Khalid Nahar,Ammar Almomani,Firas Alzobi

#Ethnicity #facial recognition #neural network #multi-class classification #machine learning #facial features

A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

A Machine Learning Attempt for Anatomizing Software Risks in Small and Medium Agile Enterprises

Ayesha Ziana Mohamed,Charles Jebapillai

#Software risk analysis #software risk classification #risk prediction #machine learning #agile software risk assessment

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Classification

Vivine Nurcahyawati,Zuriani Mustaffa,Mohammed Khalaf

#Lexicon-based #classification #customer #review #text analysis

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Cl

Ghadeer

#Lexicon-based #classification #customer #review #text analysis

Exceeding Manual Labeling: VADER Lexicon as an Accurate Alternative to Automatic Sentiment Classification

Vivine Nurcahyawati,Zuriani Mustaffa,Mohammed Khalaf

#Lexicon-based #classification #customer #review #text analysis

Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

Optimizing Machine Learning-based Sentiment Analysis Accuracy in Bilingual Sentences via Preprocessing Techniques

Mohammed Maree,Mujahed Eleyat,Enas Mesqali

#Machine learning #bilingual sentiment analysis #NLP #sentiment datasets

A Bi-Level Text Classification Approach for SMS Spam Filtering and Identifying Priority Messages

Naresh Kumar Nagwani

#SMS spam #priority sms #important sms #sms spam filtering #bi-level binary classification

A Comparative Study on Deep Learning and Machine Learning Models for Human Action Recognition in Aerial Videos

Surbhi Kapoor,Akashdeep Sharma,Amandeep Verma,Vishal Dhull,Chahat Goyal

#Human action recognition #openpose #unmanned aerial vehicle #kNN #decision trees #random forests #SVM #multilayer perceptron #LSTM

New Model of Feature Selection based Chaotic Firefly Algorithm for Arabic Text Categorization

Meryeme Hadni,Hassane Hjiaj

#Chaotic method #firefly algorithm #arabic text categorization #feature selection

Utilizing Artificial Bee Colony Algorithm as Feature Selection Method in Arabic Text Classification

Musab Mustafa Hijazi,Akram Zeki,Amelia Ismail

#Artificial bee colony #Arabic text classification #wrapper feature selection #feature selection

Multiclass SVM based Spoken Hindi Numerals

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Kernel Logistic Regression Algorithm for Large Scale Data Classification

classification problems. However, it is often not f ound in large+scale data classification problems an d this is mainly because it

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afak Saraydemir1, Necmi Tapınar2, Osman Eroğul3 and Hülya Kayserili4 1Department of Electronics Engineering, Turkish Mili tary Academy, Turkey 2Department of Electrical and Electronics Engineering, Erciyes University, Turkey 3Department of Biomedical Engineering Centre, Gülhan e Military Medicine Academy, Turkey 4Department of Medical Genetics, Đstanbul University Medicine Faculty, Turkey

#Dysmorphology # GWT # Principal component analysis # f ace recognition # SVM # K+NN

Prediction of Part of Speech Tags for Punjabi using Support Vector Machines

Abstract:Part-Of-Speech (POS)tagging is a task of assigning the appropriatePOSor lexical category to each word in a

#POS tagging # SVM #feature set #vectorization #machine learning # tagger # punjabi # indian languages

An Anti-Spam Filter Based on One-Class IB Method in Small Training Sets

Abstract:We present an approach to email filtering based on one-class Information Bottleneck (IB) method in small training

#IB method # one-class IB # anti-spam filter # Small training sets