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82 articles for “database support”
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Research ArticleOpen accessEvery word in the titleVoronoi Partition to Support Data Search in Uncertain Database with k-Bound FilteringSlamet Sudaryanto Nurhendratno, Sudaryanto, Solichul HudaWith the development of mobile technology, one of its main functions is to have mobile navigation capabilities, this is one of the Location-Based Services (LBS). Mobile navigation is designed as a mobile device to be able to monitor access objects from users. Because of the mobile characteristic, the impact on the points of objects to be found always occur a … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFast Algorithms for Discovering Sequential Patterns in Massive DatasetsS. Dharani, Justus Rabi, Nanda Kumar, DarlyProblem statement: Sequential pattern mining is one of the specific data mining tasks, particularly from retail data. The task is to discover all sequential patterns with a user-specified minimum support, where support of a pattern is the number of data-sequences that contain the pattern. Approach: To find a sequence patterns variety of algorithm like AprioriAll and Generalized Sequential Patterns (GSP) … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,280 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEmpirical Performance Metrics Study of Execution of Database Queries in Implementation of Web ServicesK. Velmurugan, M. A. Maluk MohamedProblem statement: Web services are increasingly being deployed in business applications, due to its unique features such as flexibility, interoperability and other features. Most of the business applications involve extensive use of database operations for data management in back end. Further business applications demand very high level of performance from software solutions and it is a continual and never-ending process. … …Journal of Computer Science, Vol. 8, Issue 8 · 30 Jul 2012 · 6,737 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSRBIR: Semantic Region Based Image Retrieval by Extracting the Dominant Region and Semantic LearningI. Felci Rajam, S. ValliProblem statement: The Semantic Region Based Image Retrieval (SRBIR) system that automatically segments the dominant foreground region, consisting of the semantic concept of the image, such as elephants, roses and does the semantic learning, is proposed. Approach: The system segments an image into different regions and finds the dominant foreground region in it, which is the semantic concept of that … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 7,026 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Environmental Decision Support System Based on a Multidimensional PrototypeGeorgakellos Dimitrios, Macris AristomenisThe present study utilizes the principles and data provided by the Environmental Priority Strategies (EPS) methodology in order to create a multidimensional prototype, which intends to assist the damage assessment process in this kind of projects. The EPS system, based on Life Cycle Assessment (LCA) methodology, is developed to help designers and product developers in finding which one of two … …Journal of Computer Science, Vol. 1, Issue 2 · 30 Jun 2005 · 6,620 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Database Availability: A Combined Approach Using SQL Always on Failover Cluster Instance and Availability GroupsFaisal Rahman, Benfano SoewitoDatabase availability is a critical factor in supporting business processes to ensure uninterrupted operations. When the production server experiences failures, data may become inaccessible, disrupting business operations. To mitigate this risk, separating the production server from the reporting server is essential. However, this approach introduces challenges related to data synchronization and automatic failover during system failures. Existing High Availability (HA) … …Journal of Computer Science, Vol. 21, Issue 6 · 20 Jun 2025 · 4,255 accessesView PDFCite
Research ArticleOpen accessIn the abstractCardiovascular Diseases Identification Using Wavelet Optimization and Modify Cuckoo Search AlgorithmBanit Negi, Abhilekh Bartwal, Agya Ram Verma et al.The problem the author aims to solve is the extraction of discriminatory features in ECG (Electrocardiogram) signals for classification purposes. The scope of the work is to propose a new method for building wavelets that best reflect the discriminatory capacity of ECG signals. The approach involves optimizing the wavelets specifically for the classification function under consideration. To address the problem, … …Journal of Computer Science, Vol. 19, Issue 8 · 3 Aug 2023 · 5,403 accessesView PDFCite
Research ArticleOpen accessIn the abstractChronic Lung Disease Identification in Chest CT Scans Through Hybrid Deep Transfer Learning FrameworkGarima Jain, Amit Kumar Goel, Rahul KumarAccurate and timely diagnosis is essential for successful treatment of chronic pulmonary conditions, particularly lung tumours. To capture more complicated pathological characteristics, diagnostic algorithms based on current data sets are restricted to using older databases and single branch systems. This research introduces a new solution: A hybrid deep learning model applied to a recently released quantitative database of CT scans … …Journal of Computer Science, Vol. 22, Issue 8 · 9 Sep 2026 · 651 accessesView PDFCite
Research ArticleOpen accessIn the abstractGait Analysis Combining Sports Biomechanics and ImagingChao ZhuAiming at the problems of marker positioning error, soft tissue interference, and insufficient personalized modeling ability in traditional gait analysis, this study proposes a gait assessment method that integrates sports biomechanics and multimodal imaging analysis. Firstly, based on the public OU-ISIR gait database, a Convolutional Neural Network (CNN) is used to extract the key gait features in the human silhouette … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 20 Jul 2026 · 850 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparative Forensic Profiling of Primer-Derived Inorganic Gunshot Residues Using SEM-EDX SpectroscopyAhmed M. Bendary Salem, Aldo Barbaro, Bolaji OladipoGunshot Residue (GSR) analysis presents a significant challenge in forensic science due to the need to detect and identify minute traces of powders and initiating compositions formed during the chemical decomposition and deflagration processes within cartridge cases. This research is a qualitative comparative profiling study, designed to create a reference database of the most characteristic elemental markers for commonly used … …American Journal of Applied Sciences, Vol. 22, Issue 1 · 6 Mar 2026 · 2,726 accessesView PDFCite