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39 results for “C. Vivek”
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Research ArticleOpen accessIn the author namesTransforming Saffron Cultivation With Smart Hydroponics: An Artificial Intelligence of Things Approach to Crops and Nutrients ManagementVivek Raj, Gregory Allen, Ananth Prabhu G., Melwin DsouzaAgriculture is changing with the aid of new technologies, particularly in several Asian countries. This research applies Artificial Intelligence (AI) and the Internet of Things (IoT) to traditional farming, particularly focusing on saffron cultivation using hydroponics. Hydroponics is especially useful as a city grows, because it not only saves space but also nourishes the plants directly through the roots - … …Journal of Computer Science, Vol. 22, Issue 7 · 28 Jul 2026 · 852 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Novel Approach of Satellite Image Enhancement Using DWT Based on 2-Type Fuzzy LogicSurjeet Singh Patel, Vivek Kumar Tamta, Abhilekh Bartwal et al.This study proposes a new approach to enhance the dark and low-contrast satellite images captured under poor illumination. Images are converted from RGB to HSV color space in order to separate the Hue (H), Saturation (S), and luminance (V) components. Enhancement is achieved in saturation and luminance components using Discrete Wavelet Transform (DWT) and 2-type fuzzy logic. DWT breaks the … …Journal of Computer Science, Vol. 19, Issue 9 · 15 Aug 2023 · 5,182 accessesView PDFCite
Research ArticleOpen accessIn the author namesCardiovascular 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 author namesDynamics and Stability of q-Fractional Order Pantograph Equations With Nonlocal ConditionVivek Devaraj, Kuppusamy Kanagarajan, Seenith SivasundaramThis paper deals with some existence and Ulam-Hyers-q-Mittag-Leffler stability results for q-fractional order pantograph equation. An application is made of a Darbo's fixed point theorem for the existence of solutions. …Journal of Mathematics and Statistics, Vol. 14, Issue 1 · 10 Feb 2018 · 7,421 accessesView PDFCite
Research ArticleOpen accessIn the author namesANFIS Aided AODV Routing Protocolfor Mobile Ad Hoc NetworksVivek Sharma, Bashir Alam, M. N. DojaCommunication between mobile nodes is the key purpose of Mobile Ad Hoc Networks (MANETs). However, increase in the traffic leads to multiple challenging issues like congestion among nodes, consumption of more bandwidth, high energy requirement and low efficiency output. A powerful solution to these issues of the MANET is to use intelligent routing protocols. The Adaptive Neural Fuzzy Inference System … …Journal of Computer Science, Vol. 13, Issue 10 · 12 Oct 2017 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the author namesStructure Prediction and Binding Site Analysis of Hepatotoxic Microcystin-LR Degrading MlrC-Like Protein from Burkholderia sp. using Computational ApproachesDhananjaya P. Singh, Ratna Prabha, Vivek Keshri, P.C. AbhilashMicrocystin-LR (MCYST-LR) is a well characterized hepatotoxic heptapeptide produced by various species of cyanobacteria including Microcystis aeruginosa. Burkholderia is a genus of bacteria with cyanobacterial toxins degrading property. This study predicts the structure of microcystin degrading MlrC-like protein from Burkholderia sp. strain CCGE1002 that has microcystin degradation capability. Binding interaction of MlrC-like protein with MCYST-LR was studied. Three-dimensional model of … …Current Research in Bioinformatics, Vol. 5, Issue 1 · 10 Jun 2016 · 8,069 accessesView PDFCite
Research ArticleOpen accessIn the author namesA NOVELTY APPROACH OF SPATIAL CO-OCCURRENCE AND DISCRETE SHEARLET TRANSFORM BASED TEXTURE CLASSIFICATION USING LPBOOSTING CLASSIFIERC. Vivek, S. AudithanRecently, the research towards Brodatz database for texture classification done at considerable amount of study has been published, the effective classification are vulnerable towards for training and test sets. This study presents the novel texture classification method based on feature descriptor, called spatial co-occurrence with discrete shearlet transformation through the LPboosting classification. It can be considered as a frame through … …Journal of Computer Science, Vol. 10, Issue 5 · 11 Jan 2014 · 6,602 accessesView PDFCite