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Research ArticleOpen accessAll words, across the recordFarmer-Friendly Mobile Application for Automated Leaf Disease Detection of Real-Time Augmented Data Set using Convolution Neural NetworksRishiikeshwer B. S., T. Aswin Shriram, J. Sanjay Raju et al.In farming, crops are prone to a wide variety of diseases. The impact of sudden climatic change has adverse effects on their growth, providing incubation to harmful viruses and bacteria. Diseases to crops imply a significant negative impact on health, economy and livelihood of the human population. According to the data from the Food and Agricultural Organization (FAO), an average … …Journal of Computer Science, Vol. 16, Issue 2 · 24 Aug 2019 · 8,987 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordWeb Document Segmentation Using Frequent Term Sets for SummarizationChitra Pasupathi, Baskaran Ramachandran, Sarukesi KarunakaranQuery sensitive summarization aims at extracting the query relevant contents from web documents. Web page segmentation focuses on reducing the run time overhead of the summarization systems by grouping the related contents of a web page into segments. At query time, query relevant segments of the web page are identified and important sentences from these segments are extracted to compose … …Journal of Computer Science, Vol. 8, Issue 12 · 19 Dec 2012 · 6,672 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordIndoor Characterisation using High-Resolution Signal Processing Based on Five-Port Techniques for Signal Input Multiple Output SystemsSmari Mouheddin, Bel hadj Taher JamelProblem statement: The development of wideband mobile communication systems requires a deep knowledge of the characteristics of the indoor mobile radio channel. The characterization of the indoor multi-path propagation structure is important in developing antifading techniques for high-speed digital radio access. The high-resolution of the estimation of the Time of Arrival (ToA) and the Direction of Arrival (DoA) of multi-path … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 2 · 30 Jun 2009 · 7,684 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordUnderwater Fused Image Classification Using Deep Learning Based Resnet and Hybrid PSO + HHO ModelDevika Sarath, M. SucharithaIn image fusion, multiple images are combined into one with minimal distortion and data loss. Image fusion forms a highly configured image with good results. The image fusion technique is employed in various domains, including remote sensing, robotics, medical applications, and underwater image processing. The focus of this study is on a unique underwater image fusion approach that allows for … …Journal of Computer Science, Vol. 19, Issue 4 · 24 Mar 2023 · 5,844 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordFAST IMAGE MATCHING IN HUGE DATABASENidhal K. El Abbadi, Lamis Al SaadiIn today’s multimedia age, images are becoming more and more common in various fields. Database is an area that has found extensive use of images in past few years. With the increased usage of image data, the need to search and matching images efficiently and accurately from a large image database or a cluster of images databases has increased. Image … …Journal of Computer Science, Vol. 10, Issue 8 · 2 Apr 2014 · 6,694 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDynamic Bayesian Networks in Classification-and-Ranking Architecture of Response GenerationAida Mustapha, Md. Nasir Sulaiman, Ramlan Mahmod, Mohd. Hasan SelamatProblem statement: The first component in classification-and-ranking architecture is a Bayesian classifier that classifies user utterances into response classes based on their semantic and pragmatic interpretations. Bayesian networks are sufficient if data is limited to single user input utterance. However, if the classifier is able to collate features from a sequence of previous n-1 user utterances, the additional information may … …Journal of Computer Science, Vol. 7, Issue 1 · 27 Dec 2010 · 8,104 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Study of Fatigue Data Editing using the Short-Time Fourier Transform (STFT)S. Abdullah, C. K.E. Nizwan, M. Z. NuawiThis study presents the development of the STFT-based fatigue data editing technique that will be used as a tool to accelerate for accelerating fatigue testing. This technique was performed by removing low amplitude cycles contained in the original signal in order to produce a shortened signal using the Short-Time Fourier Transform (STFT) parameter. The effectiveness of STFT power spectrum was … …American Journal of Applied Sciences, Vol. 6, Issue 4 · 30 Apr 2009 · 8,422 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEfficient Processing for Binary Submatrix MatchingAzzam Sleit, Wesam AlMobaideen, Mohammad Qatawneh, Heba SaadehThe heavy demand for large volumes of digital data has increased the interest in matrix-like representation. Matrices are well organized data structures which are suitable to store uniform data in order to simplify data access and manipulation. For several applications, the need is critical to efficiently search for a specific pattern in matrix structures. A pattern can be represented as … …American Journal of Applied Sciences, Vol. 6, Issue 1 · 31 Jan 2009 · 7,616 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordDetection and Diagnostic Approach of COVID-19 Based on Cough Sound AnalysisMuzhir Shaban Al-Ani, Thabit Sultan Mohammed, Awni Ismail Sultan et al.Coronavirus (COVID-19) started at the end of 2019 and then spread out around the world as a pandemic at the beginning of 2020. At that time, researchers began to work on detecting and diagnosing this virus, where many methods have been applied for this reason. This study focuses on how to diagnose coronavirus through patients’ cough. Accordingly, real samples were … …Journal of Computer Science, Vol. 17, Issue 6 · 29 Jun 2021 · 7,803 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordAn On-line Analytical Processing (OLAP) Aggregation Function for Rising Aspects in Collaboration and Social NetworksWaqas Nawaz, Kifayat Ullah Khan, Muhammad Shoaib SiddiquiThe overwhelming usage of social and collaboration networks provides the opportunity to analyze evolution of relationships among individuals, like celebrities or co-authors. Discovering such phenomenon in large complex networks is non-trivial due to their large sizes. In this situation, the aggregation functions used in OLAP, are useful to analyze the summarized data. OLAP has successfully proven its worth on multidimensional … …Journal of Computer Science, Vol. 16, Issue 6 · 10 Jun 2020 · 7,120 accessesView PDFCite