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Wiem Chebil, Mohammad Wedyan, Moutaz Alazab, Ryan Alturki and Omar Elshaweesh
This research proposes a new approach to improve information retrieval systems based on a multinomial naive Bayes classifier (MNBC), Bayesian networks (BNs), and a multi-terminology which includes MeSH thesaurus (Medical Subject Headings) and SNOMED CT (...
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Antonella Falini
The Earth?s observation programs, through the acquisition of remotely sensed hyperspectral images, aim at detecting and monitoring any relevant surface change due to natural or anthropogenic causes. The proposed algorithm, given as input a pair of hypers...
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Umberto Michelucci, Michela Sperti, Dario Piga, Francesca Venturini and Marco A. Deriu
This paper presents the intrinsic limit determination algorithm (ILD Algorithm), a novel technique to determine the best possible performance, measured in terms of the AUC (area under the ROC curve) and accuracy, that can be obtained from a specific data...
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Afwan Anggara, Widya Setia Findari
Pág. 18 - 24
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Jeng-Fung Chen, Shih-Kuei Lo and Quang Hung Do
Predictions of cutting vibrations are necessary for improving the operational efficiency, product quality, and safety in the machining process, since the vibration is the main factor for resulting in machine faults. ?Cutting vibration? may be caused by s...
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Monika Rani,Dian Prawira,Nurul Mutiah
Pág. 1 - 11
Procurement of the COVID-19 vaccination has led to diverse opinions among Indonesian people on Twitter. Sentiment analysis on Twitter can be carried out to find out public opinion, especially among Twitter users. The data was used in the form of tweets w...
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Deni Rusdiaman,Didi Rosiyadi
Pág. 230 - 235
Twitter merupakan salah satu sosial media yang banyak digunakan oleh masyarakat dalam kehidupan sehari-hari. Salah satunya adalah twitter digunakan sebagai tempat untuk menyampaikan setiap pendapat atau opini terhadap suatu hal seperti pendapat atau opin...
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Debby Alita,Sigit Priyanta,Nur Rokhman
Pág. 100 - 109
Background: Indonesia is an active Twitter user that is the largest ranked in the world. Tweets written by Twitter users vary, from tweets containing positive to negative responses. This agreement will be utilized by the parties concerned for evaluation....
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Annwesha Banerjee Majumder, Somsubhra Gupta, Dharmpal Singh, Biswaranjan Acharya, Vassilis C. Gerogiannis, Andreas Kanavos and Panagiotis Pintelas
Heart disease is a leading global cause of mortality, demanding early detection for effective and timely medical intervention. In this study, we propose a machine learning-based model for early heart disease prediction. This model is trained on a dataset...
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Marvin F. Li, Patricia M. Glibert and Vyacheslav Lyubchich
Harmful algal blooms (HABs), events that kill fish, impact human health in multiple ways, and contaminate water supplies, have increased in frequency, magnitude, and impacts in numerous marine and freshwaters around the world. Blooms of the toxic dinofla...
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Firgan Feradov, Iosif Mporas and Todor Ganchev
There is a strong correlation between the like/dislike responses to audio?visual stimuli and the emotional arousal and valence reactions of a person. In the present work, our attention is focused on the automated detection of dislike responses based on E...
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Sheeraz Ahmed, Zahoor Ali Khan, Syed Muhammad Mohsin, Shahid Latif, Sheraz Aslam, Hana Mujlid, Muhammad Adil and Zeeshan Najam
Distributed denial of service (DDoS) attacks pose an increasing threat to businesses and government agencies. They harm internet businesses, limit access to information and services, and damage corporate brands. Attackers use application layer DDoS attac...
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Sapna Sadhwani, Baranidharan Manibalan, Raja Muthalagu and Pranav Pawar
The study in this paper characterizes lightweight IoT networks as being established by devices with few computer resources, such as reduced battery life, processing power, memory, and, more critically, minimal security and protection, which are easily vu...
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Adriana Olteanu, Alexandra Cernian and Sebastian-Augustin Gâga
Social media platforms make a significant contribution to modeling and influencing people?s opinions and decisions, including political views and orientation. Analyzing social media content can reveal trends and key triggers that will influence society. ...
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Olga V. Okhlupina,Dmitry S. Murashko
Pág. 17 - 20
Among the common methods of combating spam, a special place is occupied by a probabilistic machine learning algorithm, which is based on the well-known Bayes theorem. The so-called "naive" Bayesian classifier establishes the class of the document by dete...
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Julio Jerison E. Macrohon, Charlyn Nayve Villavicencio, X. Alphonse Inbaraj and Jyh-Horng Jeng
With the increasing popularity of Twitter as both a social media platform and a data source for companies, decision makers, advertisers, and even researchers alike, data have been so massive that manual labeling is no longer feasible. This research uses ...
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Gatis ?pats,Ilze Birzniece
Pág. 51 - 59
In this paper we demonstrate approaches for opinion mining in Latvian text. Authors have applied, combined and extended results of several previous studies and public resources to perform opinion mining in Latvian text using two approaches, namely, seman...
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Lowri Williams, Eirini Anthi and Pete Burnap
The performance of emotive text classification using affective hierarchical schemes (e.g., WordNet-Affect) is often evaluated using the same traditional measures used to evaluate the performance of when a finite set of isolated classes are used. However,...
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Riccardo Naccarelli, Sara Casaccia, Michela Pirozzi and Gian Marco Revel
This paper describes a methodology to optimize the home sensor network to measure the Activities of Daily Living (ADLs) of older people using Machine Learning (ML) applied to synthetic data generated via a newly developed Smart Living Environment (SLE) s...
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Tebogo Bokaba, Wesley Doorsamy and Babu Sena Paul
Road traffic accidents (RTAs) are a major cause of injuries and fatalities worldwide. In recent years, there has been a growing global interest in analysing RTAs, specifically concerned with analysing and modelling accident data to better understand and ...
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