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Research ArticleOpen accessAll words, across the recordMining of Social Media on Covid-19 Big Data Infodemic in IndonesiaFaisal Binsar, Tuga MauritsiusCovid-19 is an unprecedented disaster that is still difficult to contain. During the pandemic, there were a lot of cases that were reported to increase exponentially. In this situation, the dissemination of messages and information was very important. The social media platform has contributed as a channel of communication with unprecedented speed. However, the uncontrolled and irresponsible dissemination of information … …Journal of Computer Science, Vol. 16, Issue 11 · 16 Nov 2020 · 7,533 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordForecasting Air Passenger Demand: A Comparison of LSTM and SARIMAQuang Hung Do, Shih-Kuei Lo, Jeng-Fung Chen et al.All airports need to have an accurate prediction of the number of passengers for their efficient management. An accurate prediction of the number of air passengers is crucial task since it provides information for planning decisions in the airport infrastructure to stabilize the service and maximize the profit. This study proposes a novel air passenger demand forecasting model based on … …Journal of Computer Science, Vol. 16, Issue 7 · 25 Jul 2020 · 8,555 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordBin Bay: An Optimized Smart Waste Disposal System for a Sustainable Urban Life using LSTM and Fog ComputingShiny Duela, Dioline Sara, PrabavathiTo create green and smart cities, a smart and planned WasteManagement System (WMS) is a vital requirement. With the increase in the urbanpopulation and service delivery difficulties, smart cities are integratingtechnologies such as smart waste bins and Radio Frequency Identification (RFID)tags into their day-to-day operations to make solid waste management andcontrol more effective. Fog computing in waste management is becoming … …Journal of Computer Science, Vol. 18, Issue 11 · 16 Nov 2022 · 6,661 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Recommendation-Based Contextual Model for Talent AcquisitionChannabasamma A., Yeresime SureshIt is important to assist the job seekers in selecting the perfect jobs, which suit candidates' current skills and career objectives. Given the job description and resumes in the unstructured form, choosing the best job manually is a tedious task, so there is a need for an automated system to deal with raw data. The extraction of structured information from … …Journal of Computer Science, Vol. 18, Issue 7 · 20 Jul 2022 · 6,122 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordLong 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 accessAll words, across the recordINTRUSION DETECTION SYSTEM IN SECURE SHELL TRAFFIC IN CLOUD ENVIRONMENTMehdi Barati, Azizol Abdullah, NurIzura Udzir et al.Due to growth of Cloud computing usage, the need to apply encrypted protocols to provide confidentiality and integrity of data increases dramatically. Attacker can take advantage of these protocols to hide the intrusion and evade detection. Many traditional attack detection techniques have been proposed to provide security in the networks but none of them can be implemented properly in encrypted … …Journal of Computer Science, Vol. 10, Issue 10 · 26 Jun 2014 · 7,851 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFrom Subhiksha (Prosper) To Iksha (Perspire): The Topsy-Turvy Story of Indian Retail Business ModelH.M. Jha Bidyarthi, Ashish K. Srivastava, P.V. Bokad, Mayur A. DandeProblem statement: To examine the factors that led to inception, high growth and sudden closure of Indian business ventures in upcoming sectors in a short span of less than 10 years. Approach: An IITian and an IIM-A grad (India’s top notch academic institution) set up one of the largest Indian retail chain named Subhiksha Trading services Pvt. Ltd. in 1997 … …American Journal of Economics and Business Administration, Vol. 2, Issue 2 · 30 Jun 2010 · 7,576 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEarly Detection and Classification Approach for Plant Diseases based on MultiScale Image DecompositionAssia Ennouni, Noura Ouled Sihamman, My Abdelouahed Sabri, Abdellah AarabThis paper presents a new and powerful approach for detecting and classifying leaf diseases for plant diagnosis with high accuracy. The main contribution of this paper is that a hybrid approach is proposed by using the combination of Partial Differential Equations (PDE) based image decomposition, segmentation, feature extraction, features selection and classification aiming to improve the classification accuracy and provide … …Journal of Computer Science, Vol. 17, Issue 3 · 25 Mar 2021 · 7,205 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPredicting Microbe-Drug Association based on Similarity and Semi-Supervised LearningLingzhi Zhu, Jun Wang, Guixiang Li et al.Increasing clinic evidences have showed that microbial communities play important roles in human health and disease. Predicting hidden microbe-drug associations can be helpful in understanding the microbe-drug association mechanisms in clinical treatment, drug discovery, combinations and repositioning. Some computational methods were proposed to predict the associations of microbes and drugs. However, the prediction performance of these methods needs to be … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 9 Mar 2021 · 7,535 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordResemblance of Rain Fall in Bangladesh with Correlation Dimension and Neural Network LearningAbu Nasir Mohammad Enamul Kabir, Hussain Muhammad Imran Hasan, Mohd Abdur Rashid et al.Rain fall and Temperature are undoubtedly two important factors that balance water in the environment. Adequate study of the rain behavior helps to forecast it. The time series obtained from different stations of the country throughout the several years are collected and analyzed. The dynamics of rain fall time series is analyzed with Correlation Dimension (CD) to characterize the several … …American Journal of Applied Sciences, Vol. 10, Issue 10 · 5 Sep 2013 · 7,234 accessesView PDFCite