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122 results for “k-Means Algorithm”
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Research ArticleOpen accessIn the abstractWEEDS IDENTIFICATION USING EVOLUTIONARY ARTIFICIAL INTELLIGENCE ALGORITHMAhmed M. Tobal, Sahar A. MokhtarIn a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. Weeds represent 34% of the whole pests while … …Journal of Computer Science, Vol. 10, Issue 8 · 4 Mar 2014 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractREDUCING CALL BLOCKING PROBABILITY IN HYBRID MULTICAST WAVELENGTH DIVISION MULTIPLEXING NETWORKS USING WEIGHTED ROUTING AND WAVELENGTH ASSIGNMENT ALGORITHMD. V. Pradeep Sankar, K. MuneeswaranIn the proposed work, the focus is on increasing the available wavelength in the all-optical networks, for which the Routing and Wavelength Assignment plays a vital role. In the earlier reported work, the wavelengths were assigned to the links which covers a set of destinations but not all the intended destinations. However this proposed work, attempts were made to create … …Journal of Computer Science, Vol. 10, Issue 2 · 13 Nov 2013 · 6,854 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnergy Constrained Secure Hierarchical Data Aggregation in Wireless Sensor NetworksV. Bhoopathy, R. M.S. ParvathiProblem statement: Wireless sensor networks, brings out variety of different challenges at energy level, integrity, authentication, communication cost. Approach: In the secure data aggregation techniques, reduction in the energy consumption was not elaborated in detail, since aggregator means of connection to sink was either direct or through other aggregators which need high energy level. Results: We suggest an Energy Constrained … …American Journal of Applied Sciences, Vol. 9, Issue 6 · 16 Mar 2012 · 7,382 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Algorithm for the Segmentation of Known Touching ObjectsEdgar Scavino, Dzuraidah Abdul Wahab, Hassan Basri et al.Problem statement: Segmentation is the first and fundamental step in the process of computer vision and object classification. However, complicate or similar colour pattern add complexity to the segmentation of touching objects. The objective of this study was to develop a robust technique for the automatic segmentation and classification of touching plastic bottles, whose features were previously stored in a … …Journal of Computer Science, Vol. 5, Issue 10 · 31 Oct 2009 · 7,128 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Maintenance Scheduler for Near Optimum Utilization of Oil TanksFawaz S. Al-Anzi, Khaled Al-ZamelDue to the entry of Kuwait into WTO and the expected liberalization of petroleum management, the oil market is to become more competitive. However, the space limitation and public increasing awareness of environmental protection issues and stricter regulation passed by Environmental Public Authority (EPA) in Kuwait make the need for full utilization of oil tanks a prime requirement of a … …American Journal of Environmental Sciences, Vol. 1, Issue 4 · 31 Dec 2005 · 6,519 accessesView PDFCite
Research ArticleOpen accessIn the abstractMorphometric Differentiation of Indigenous Tswana Goat Populations in Botswana Using Canonical Discriminant AnalysisDitiro MaletsanakeIndigenous goats are renowned for their endurance and capacity to withstand extreme climatic conditions. To categorize indigenous animal genetic resources, morphometric measurements have been employed to analyze the properties of numerous farm animal populations and breeds. The purpose of this research was to use canonical discriminant analysis to categorize the diverse Tswana goat populations in Botswana based on their morphometric … …American Journal of Animal and Veterinary Sciences, Vol. 18, Issue 3 · 26 Jul 2023 · 6,098 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Clustering based Approach for Contextual Anomaly Detection in Internet of ThingsDina ElMenshawy, Waleed Helmy, Neamat El-TaziInternet of Things (IoT) is a network which connects different communication devices with the internet to attain quick, robust and real-time information transfer and communication, achieving intelligent management. IoT is still in its infancy so it faces numerous challenges varying from data management to security concerns. Sensors generate enormous quantities of data that need to be handled efficiently to have … …Journal of Computer Science, Vol. 15, Issue 8 · 24 Aug 2019 · 7,587 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Control Allocation through Kalman FilteringGianfranco Morani, Francesco Nebula, Federico Corraro, Marco AriolaControl Allocation (CA) in aviation is the problem of distributing the commands among the available actuation means, in order to ensure the achievements of the moments requested by the flight control laws. CA plays a key role in fault-tolerant control systems since it gives robust performances and stability also in presence of faults to one or more aircraft actuators. In … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 1 · 12 Feb 2019 · 8,840 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Sentiment-Aware Hybrid Ensemble Clustering Framework for Social Network Content Analysis and Community DiscoveryDhimesh Pravinbhai Parmar, Paresh TannaSocial media stages produce huge volumes of short, familiar, and sentiment-rich content that offerings significant encounter for community discovery and thematic analysis. Traditional clustering approach struggle with sparsity, noise, and limited surroundings information present in such texts. To address these limitations, this study introduces a sentiment-aware hybrid ensemble clustering framework designed openly for social network content analysis. The planned method … …Journal of Computer Science, Vol. 22, Issue 5 · 26 May 2026 · 1,281 accessesView PDFCite
Research ArticleOpen accessIn the abstractBRAIN TUMOR CLASSIFICATION BASED ON CLUSTERED DISCRETE COSINE TRANSFORM IN COMPRESSED DOMAINV. Anitha, S. MurugavalliThis study presents a novel method to classify the brain tumors by means of efficient and integrated methods so as to increase the classification accuracy. In conventional systems, the problem being the same to extract the feature sets from the database and classify tumors based on the features sets. The main idea in plethora of earlier researches related to any … …Journal of Computer Science, Vol. 10, Issue 10 · 6 May 2014 · 7,537 accessesView PDFCite