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125 results for “Area Efficient”
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Research ArticleOpen accessPhrase in the titleAREA EFFICIENT DISTRIBUTED ARITHMETIC DISCRETE COSINE TRANSFORM USING MODIFIED WALLACE TREE MULTIPLIERR. P. Meenaakshi Sundari, R. Anita, V. VenkateshwaranIn this study by using the modified Wallace tree multiplier, an error compensated adder tree is constructed in order to round off truncation errors and to obtain high through put discrete cosine transform design. Peak Signal to Noise Ratio (PSNR) is met efficiently since modified Wallace Tree method is an efficient, hardware implementable digital circuit that multiplies two integers resulting … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 19 Dec 2013 · 7,331 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA New Efficient-Silicon Area MDAC SynapseZied Gafsi, Nejib Hassen, Mongia Mhiri, Kamel BesbesUsing the binary representation ΣiDi2i in the Multiplier digital to analog converter (MDAC) synapse designs have crucial drawbacks. Silicon area of transistors, constituting the MDAC circuit, increases exponentially according to the number of bits. This latter is generated by geometric progression of common ratio equal to 2. To reduce this exponential increase to a linear growth, a new synapse named … …American Journal of Applied Sciences, Vol. 4, Issue 6 · 30 Jun 2007 · 7,158 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign of 8-4 and 9-4 Compressors Forhigh Speed MultiplicationR. Marimuthu, Dhruv Bansal, S. Balamurugan, P. S. MallickThis study presents higher order compressors which can be effectively used for high speed multiplications. The proposed compressors offer less delay and area. But the Energy Delay Product (EDP) is slightly higher than lower order compressors. The performance of 8×8, 16×16 and 24×24 multipliers using the proposed higher order compressors has been compared with the same multipliers using lower order … …American Journal of Applied Sciences, Vol. 10, Issue 8 · 24 Jul 2013 · 7,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractAdvancing Digital Forgery Detection: A Comparative Analysis of U-Net, Buster Net, Efficient B0+ U-Net, and VGG 16+ U-Net ModelsPreeti Dhiman, Usha ChauhanForgery Detection in the area of digital images is indispensable for insuring authenticity, particularly in detecting Copy-Move, Splicing. In this research, a meticulous analysis of latest learning architectures i.e. U-Net, Buster Net, Efficient B0+U-Net and VGG16+U-Net are compared for the detecting these types of forgeries. U-Net is popular due to its potent segmentation capabilities to provide pixel-level forgery localization while … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 383 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Prediction Model for Information Anxiety of CSs Based on CMA-ES and XGBoostBin Wang, Li ShaoWith the rapid advancement of information technology, college students are increasingly facing the problem of information overload. Information anxiety, an emerging mental health issue, significantly impacts their studies, daily lives, and mental well-being. Given the limitations of existing methods in handling complex nonlinear relationships and high-dimensional data, this study proposes an efficient and accurate prediction model for college students’ information … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 1 · 21 Apr 2026 · 1,695 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Implementation of Stochastic Computing Based Deep Neural Network on Low Cost Hardware with Saturation ArithmeticSunny Bodiwala, Nirali NanavatiThis study presents an efficient and rapid implementation of Stochastic Computing (SC) based Deep Neural Network (DNN) on a low-cost hardware platform. The proposed technique uses bipolar signal encoding in stochastic computing which relatively gives low hardware footprint compared to binary computing. Thereinafter, stochastic max function is presented and subsequently used to approximate the hyperbolic tangent activation function in SC. … …Journal of Computer Science, Vol. 16, Issue 11 · 17 Nov 2020 · 6,875 accessesView PDFCite
Research ArticleOpen accessIn the abstractWater Resource Evaluation and Identifying Groundwater Potential Zones in Arid area using Remote Sensing and Geographic Information SystemM.M. Kamruzzaman, Saad Awadh Alanazi, Madallah Alruwaili et al.Groundwater resource is the main conventional source of fresh water all over the world. However, recent revelations indicated that the shortage of water resources remains the main challenge for the arid areas. In this regard, identifying groundwater potential zones or areas can help to improve the availability of fresh water and effective management of groundwater in arid areas. This work … …Journal of Computer Science, Vol. 16, Issue 3 · 3 Mar 2020 · 8,870 accessesView PDFCite
Research ArticleOpen accessIn the abstractDual-Branch Shape Texture Learning With Pyramid Residual and Sobel Edge Layers for Rice Variety ClassificationM Pradeep, M SiddappaAutomated rice variety classification categorizes rice types based on features, such as grain texture, shape, color, and size. Traditional handcrafted feature-based models fail at rice classification due to lighting variations, background noise, and environmental conditions, leading to overlapping visual characteristics and frequent misclassification. To address these challenges, this research proposes a novel Dual-Branch Convolutional Neural Network with Pyramid Residual Units … …Journal of Computer Science, Vol. 22, Issue 9 · 24 Sep 2026 · 627 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Retrofit Solutions of Buildings toward a Low Carbon WorldErdem Cuce, Pinar Mert CuceIn this short communication, energy-efficient, eco-friendly and low-cost solutions for existing buildings are considered in a holistic manner toward low/zero carbon building concept of near future. Buildings are still responsible for about 40% of total primary energy consumption in the world, hence decisive measures need to be taken promptly due to growing significance of environmental issues driven by fossil fuel … …Energy Research Journal, Vol. 9, Issue 1 · 29 Aug 2018 · 7,169 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Exploitation of Errors in Redundant Residue Number System ArchitectureYaw AfriyieResidue Number System (RNS) is an unweighted number system that symbolizes big integers with smaller numbers. It can perform operations in particular addition and multiplication in parallel. Because of this property, RNS is extensively used in communication, Finite Impulse Response (FIR), cryptography and signal processing devices. The transfer of data in digital channels is very important for some critical applications … …American Journal of Applied Sciences, Vol. 18, Issue 1 · 30 Jun 2021 · 7,616 accessesView PDFCite