Browsing Department of Information and Communication Technology by Document type "Journal article"

Browsing Department of Information and Communication Technology by Document type "Journal article"

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  • Artificial Neural Network Analysis in Finance: Evidence using a Literature Review 
    Kethmi, G.A.P.; Perera, W.A.S.C. (MAT Journals, 01-12-21)
    Machine language is a sequence of algorithm assign to do a particular task. Neural Networking is inspired by the operation of neurons in the human brain and machine language made possible to use neural networking in data ...
  • Cross-device Portability of Machine Learning Models in Electromagnetic Side-Channel Analysis for Forensics 
    Lojenaa, N.; Le-Khac, N.S.; Oren, Y.; De Zoysa, K.; Sayakkara, A.P. (Journal of Universal Computer Science, 2024-09-28)
    The possession of smart devices has ingrained itself into daily life. Therefore, smart devices, such as IoT and smartphones, are crucial sources of evidence in instances where criminal activity occurs. Due to the challenges ...
  • Crossed-IoT Device Portability of Electromagnetic Side Channel Analysis: Challenges and Dataset 
    Yasarathna, T.L.; Lojenaa, N.; Barcque, S.; Sayakkara, A.; Le-Khac, N.A. (World Scientific Publishing Company, 2024-02-23)
    Internet of Things (IoT) refers to the network of interconnected physical devices, vehicles, home appliances, and other items embedded with sensors, software, and connectivity, enabling them to collect and exchange data. ...
  • Deep Learning Model for Tamil Part-of-Speech Tagging 
    Visuwalingam, H.; Sakuntharaj, R.; Alawatugoda, J.; Ragel, R. (Oxford University Press on behalf of The British Computer Society, 2024-03-15)
    Part-of-Speech (POS) tagging is one of the popular Natural Language Processing (NLP) tasks. It is also considered to be a preliminary task for other NLP applications such as speech recognition, machine translation, and ...
  • Detecting and Correcting Contextual Mistakes in Sentences Using Part of Speech Tags 
    Sakuntharaj, R. (Asian Journal of Research in Computer Science, 2023-03-04)
    A grammar checker is a tool to check each sentence in a text to see whether it conforms to the grammar. In case it finds a structure that conflicts with the conformity to the grammar, it would give suggestions for alternatives. ...
  • Detecting and correcting real-word errors in Tamil sentences 
    Sakuntharaj, R.; Mahesan, S. (Faculty of Science, University of Ruhuna, 2019-12-01)
    Spell checkers concern two types of errors namely non-word errors and real-word errors. Non-word errors can be of two categories: First one is that the word itself is invalid; the other is that the word is valid but not ...
  • Do images really do the talking? Analyzing the significance of images in tamil troll meme classification 
    Hegde, S.U.; Hande, A.; Priyadharshini, R.; Thavareesan, S.; Sakuntharaj, R.; Thangasamy, S.; Bharathi, B.; Chakravarthi, B.R. (Springer International Publishing, 2025-03-01)
    A meme is a part of media created to share an opinion or emotion across the internet. Due to their popularity, memes have become the new form of communication on social media. However, they are used in harmful ways such ...
  • E-Sign Detector: Image Steganography-Based Employee Identification System 
    Senthooran, V.; Chathuranga, M. T.; Kartheeswaran, T. (IUP Publications, 01-06-16)
    This paper aims to develop a desktop application system called E-Sign detector using image steganography. It targets to fulfill the requirements of small and medium size companies to identify their employers through a ...
  • An Efficient Bag-of-Feature Representation for Object Classification 
    Vinoharan, Veerapathirapillai; Ramanan, A. (ELCVIA, 16-12-21)
    The Bag-of-features (BoF) approach has proved to yield better performance in a patch- based object classification system owing to its simplicity. However, often the very large number of patch-based descriptors (such as ...
  • Ensuring cross-device portability of electromagnetic side-channel analysis for digital forensics 
    Lojenaa, N.; Scanlon, M.; Le-Khac, N.A.; De Zoysa, K.; Sayakkara, A.P. (Elsevier, 2024-03-15)
    Investigation on smart devices has become an essential subdomain in digital forensics. The inherent diversity and complexity of smart devices pose a challenge to the extraction of evidence without physically tampering with ...
  • An Experimental Investigation of Statistical Model based Secure Steganography for JPEG Images 
    Senthooran, V.; Ranathunga, L. (Indian Society for Education and Environment, 01-07-17)
    Objectives: This paper intends to propose a secure steganography approach in JPEG compressed domain by providing more possibilities to analyzing the DCT coefficients in lower frequency area by modifying the primary ...
  • Fraud Detection Mechanism Using Machine Learning 
    Lojenaa, N.; Nawarathna, R.D. (Rajarata University of Sri Lanka, 30-06-20)
    Banks provide their services to make money transactions and other money-based banking activities. The basic concept of the bank is the transaction of money; it can be either manual or digital through multiple channels. ...
  • Movie Success and Rating Prediction Using Data Mining Algorithms 
    Sivakumar, Pirunthavi; Rajeswaren, Vithusia Puvaneswaren; Abishankar, Kamalanathan; Ekanayake, E.M.U.W.J.B.; Mehendran, Yanusha (Faculty of Management and Commerce South Eastern University of Sri Lanka, 29-12-20)
    This project developed the models to predict the success and the ratings of a new movie before its release. Since the success of a movie is highly influenced by the actor, actress, director, music director and production ...
  • Naive Bayes Algorithm for Large Scale Text Classfication 
    Sivakumar, Pirunthavi; Ekanayake, Jayalath (Popular Science Press, 31-12-21)
    This paper proposed an improved Naïve Bayes Classifier for sentimental analysis from a large-scale dataset such as in YouTube. YouTube contains large unstructured and unorganized comments and reactions, which carry important ...
  • Revisiting the steganography techniques with a novel region-based separation approach 
    George, R.; Thangathurai, K.; Lojenaa, N. (Springer Nature, 2024-02-06)
    Cryptography and steganography are employed to secure digital data transfers. We introduced an efficient region-based steganography pipeline to enhance security by concealing confidential information within an image. Our ...
  • Sentiment Analysis of Code-Mixed Text: A Comprehensive Review 
    Perera, A.; Caldera, A. (JUCS, 2024-02-28)
    Sentiment Analysis is the task of identifying and extracting the opinion expressed in a text to determine the writer's perception of an entity. Due to globalization, people often mix two or more languages and use phonetic ...
  • Suggestion Generation for Erroneous Words in Tamil Documents Using N-gram Technique 
    Sakuntharaj, R. (Asian Journal of Research in Computer Science, 2022-05-05)
    A spell checker is a tool that finds and corrects erroneous words and grammatical mistakes in a text document. Spelling error detection and correction techniques are widely used by text editing systems, search engines, ...

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