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Research ArticleOpen accessIn the abstractA Multi Layer Perceptron Along with Memory Efficient Feature Extraction Approach for Bengali Document CategorizationQuazi Ishtiaque Mahmud, Noymul Islam Chowdhury, Md MasumIn terms of the total number of speakers in the world Bengali stands as the seventh language and it has been used by approximately 265 million people worldwide. Day by day more people are expressing their views and opinions in Bengali in digital platforms like blogs and social media on various topics. Despite this, very little work has been done … …Journal of Computer Science, Vol. 16, Issue 3 · 28 Mar 2020 · 7,815 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU AccelerationToto Haryanto, Adib Pratama, Heru Suhartanto et al.Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with … …Journal of Computer Science, Vol. 16, Issue 3 · 5 Mar 2020 · 9,215 accessesView PDFCite
Review ArticleOpen accessIn the abstractProgress and Challenges of Neuroscience and Brain-inspired Artificial IntelligenceLidong Wang, Cheryl Ann AlexanderNeuroscience and brain-inspired artificial intelligence are significant research areas. Many countries have launched brain-related projects in which neuroscience and brain-inspired artificial intelligence are major targeted areas to increase national interests and enhance their strength in key areas such as military and homeland security in the competitive global world. Methods, emerging technologies, and progress in neuroscience and brain-inspired artificial intelligence are … …Neuroscience International, Vol. 11, Issue 1 · 4 Feb 2020 · 7,835 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDFCite
Research ArticleOpen accessIn the abstractA REVIEW ON THE DEVELOPMENT OF INDONESIAN SIGN LANGUAGE RECOGNITION SYSTEMSutarman, Mazlina Abdul Majid, Jasni Mohamad ZainSign language is mainly employed by hearing-impaired people to communicate with each other. However, communication with normal people is a major handicap for them since normal people do not understand their sign language. Sign language recognition is needed for realizing a human oriented interactive system that can perform an interaction like normal communication. Sign language recognition basically uses two approaches: … …Journal of Computer Science, Vol. 9, Issue 11 · 27 Sep 2013 · 8,691 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparative Study in Classification Techniques for Unsupervised Record Linkage ModelMohammadreza Ektefa, Fatimah Sidi, Hamidah Ibrahim et al.Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. A variety of record linkage algorithms with different steps have been developed in order to detect such duplicate records. To find out whether two records are duplicate or not, supervised and unsupervised classification techniques are utilized in … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 8,199 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing the Peer to Peer Traffic Aggregation Using an Optimized MethodM. Sadish Sendil, N. NagarajanProblem statement: In the recent years, peer to peer networks have rapidly developed in the distributed and decentralized world of internet. Current research indicated that P2P applications were responsible for a substantial part of Internet traffic. Number of users embracing new P2P technology is also increasing fast. It is therefore important to understand the impact of the new P2P services … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 6,607 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Virus AlgorithmsJyoti Kalyani, Karanjit S. Kahlon, Harpal Singh, Anu KalyaniSecurity of wired and wireless networks is the most challengeable in today's computer world. The aim of this study was to give brief introduction about viruses and worms, their creators and characteristics of algorithms used by viruses. Here wired and wireless network viruses are elaborated. Also viruses are compared with human immune system. On the basis of this comparison four … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,583 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Multi-Split Cross-Strategy for Enhancing Machine Learning Algorithms Prediction Results with Data Generated by Conditional Generative Adversarial NetworkAbdelfattah Abassi, Brahim Bakkas et al.In this study, we present a Multi-Split Cross-Strategy (MSC-Strategy) designed to leverage synthetic tabular data generated by a Conditional Generative Adversarial Network (CGAN). Our study aims to investigate the potential of synthetic data in comparison to real-world data for improving machine learning predictive results. Firstly, we develop a CGAN architecture tailored to generate synthetic tabular data, trained on a comprehensive … …Journal of Computer Science, Vol. 20, Issue 7 · 9 Apr 2024 · 6,695 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn Efficient Video Compression Framework using Deep Convolutional Neural Networks (DCNN)Kommerla Siva Kumar, P. Bindhu Madhavi, K. JanakiIn the current world, video streaming has grown in popularity and now accounts for a large percentage of internet traffic, making it challenging for service providers to broadcast videos at high rates while utilizing less storage space. To follow inefficient analytical coding design, previous video compression prototypes require non-learning-based designs. As a result, we propose a DCNN technique that integrates … …Journal of Computer Science, Vol. 18, Issue 7 · 13 Jul 2022 · 6,153 accessesView PDFCite