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16 articles for “affine transformation”
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Fractal Geometry and Its Application to Image Compression
Abstract: This paper presents the concept of fractal and its geometry with the explanation of how natural objects require different geometry rather than traditional Euclidean geometry and also discusses mathematics of fractals with the simulation results of generated fractal and applications of the fractal geometry in image compression. Image compression using fractal has a major drawback of large encoding time and several algorithms have been developed to reduce the encoding time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 4–12 Read article
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Image Registration–Implementation and Performance Analysis using Log-polar Transformation
Abstract: This paper presents an image registration algorithm for affine motion recovery. The images which are to be registered may be misaligned due to rotation, scale and translation the algorithm presented in the paper estimates affine transformation parameters to register this images. The parameters are computed using a variation of the Levenberg-Marquadt nonlinear least squares optimization method in a coarse-to-fine hierarchical framework. To precisely registers images with subpixel accuracy this method …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 49–55 Read article
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Reconstruction Techniques for Super Resolution Using Low Resolution Images
Abstract: The aim of Super Resolution (SR) reconstruction is to restore High Resolution (HR) image using information obtained from many degraded and aliased Low Resolution (LR) images. SR is signal processing for bandwidth expansion beyond the pass band of the imaging hardware system by using spatio-temporal information available from LR images. Over last three-decade various researchers contributed in the field of SR, but all are intuitive SR mechanisms. This paper employs …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 9, Issue 2, 2021 · pp. 5–13 Read article
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Polyhedral Compilation for Imperative Loops: Foundations, Advances, and Emerging Frontiers
Abstract: Polyhedral compilation is a mathematically rigorous framework that models imperative loop nests as sets of integer points constrained by affine inequalities, enabling precise reasoning about data dependences and the legality of complex program transformations. Over the past decade, this framework has evolved from an academic formalism into a practical compiler technology deployed in production compilers, high-performance computing libraries, and machine learning acceleration toolchains. This review surveys the theoretical underpinnings of …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 7–15 Read article
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Early Alzheimer’s Disease Prediction Using Vision Transformers and Attention-Guided MRI Analysis
Abstract: Alzheimer’s Disease (AD) continues to be a major global health concern, with early detection being crucial for effective intervention. While conventional machine learning and convolutional neural network (CNN) approaches have made notable progress in automated AD diagnosis using MRI data, they often struggle with capturing long-range dependencies and maintaining spatial contextual awareness. In this research, we propose a novel framework using Vision Transformers (ViTs) for early Alzheimer’s prediction from 3D …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 30–40 Read article
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Repurposing Liv-52 For Primary Sclerosing Cholangitis: A Computational Docking And Pharmacokinetic Study To Evaluate Its Bile Flow-Regulating Potential
Abstract: Primary Sclerosing Cholangitis (PSC) is a long-term liver disease where the bile ducts become inflamed and scarred over time. This scarring can block the flow of bile, leading to liver damage and, eventually, liver failure. The etiology of PSC remains largely unknown, and current treatment options are limited, highlighting the need for novel therapeutic strategies. This study aims to repurpose Liv-52, a traditional herbal formulation known for its hepatoprotective properties, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 2, 2025 Read article
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Pharmacodynamics and Drug–Receptor Interactions: Integrating PK/PD Modeling with Modern Drug Development
Abstract: Understanding drug action requires an integrated perspective of pharmacodynamics and pharmacokinetics, which together determine therapeutic efficacy and safety. This review provides a comprehensive overview of the mechanisms underlying drug action, with particular emphasis on drug–receptor interactions and their role in modulating physiological responses. Drugs exert their effects primarily through interactions with specific biological targets, including receptors, enzymes, ion channels, and transporters, resulting in a spectrum of desired and adverse outcomes. …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 2, 2026 · pp. 33–47 Read article
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Heavy Metal Removal from Textile Industrial Effluent using Banana Exocarp Derived Cellulose Acetate Graphene Nanocomposite Membranes
Abstract: The disposal of textile effluent is responsible for serious human health concerns and above all environmental concerns to all kind of species. This indicates that there is immediate and urgent need of emerging, efficient with sustainable recycling technologies. In this paper, banana exocarp as agriculture-based waste, in terms of substrate was utilised as major raw material. The extracted cellulose from the substrate with homogeneous acetylation process, transformed into cellulose acetate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 51–62 Read article
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Sustainable High-Strength Geopolymer Composite Reinforced with Nano-Silica and Basalt Fibers: Mechanical and Microstructural Evaluation
Abstract: Sustainable soil composites (SSC) were formulated by incorporating red earth with varying proportions of bagasse ash (BA) and hydrated lime to enhance geotechnical performance and promote the reuse of agro-industrial waste. Red earth served as the primary structural matrix, BA functioned as a pozzolanic filler, and lime acted as a chemical stabilizer. BA content ranged from 0% to 60%, identifying 10% as the optimum level for significant improvement, and lime …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1113–1122 Read article
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Red Earth Development of a Soil-Based Composite Using Bagasse Ash and Lime: Effects on Plasticity and Compaction Characteristics of Red Earth
Abstract: The concept of sustainable soil composites (SSC) emerges through blending red earth with bagasse ash (BA) and hydrated lime to enhance geotechnical properties and enable productive reuse of agro-industrial waste. Red earth functions as the matrix, BA acts as a fine pozzolanic microfiller, and lime serves as the chemical binder. BA content ranges from 0% to 60%, with 10% identified as optimal; subsequent lime additions from 1% to 5% evaluate …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1147–1158 Read article
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Application of pET28a Vector for the Over Expression of Recombinant Human Tim23 Protein in E. coli and its Validation by Immunoblotting
Abstract: This study aimed to produce recombinant human Tim23 protein by molecular cloning, expression, and purification. Amplification of human TIM23 was carried out by polymerase chain reaction (PCR) and cloned into DH5α cells. The pET28a-human TIM23 was transformed into BL21DE3 and expressed the gene by IPTG induction. Recombinant pure human Tim23 antigen was prepared, and injected into rabbits and polyclonal antibodies were raised, which was confirmed by western blotting. The transformed …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 32–44 Read article
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Evolution Of Cellular Technology- 1G To 4G And Beyond
Abstract: This paper deals with the advancements in the wireless communication technologies and its evolution over the recent dynamic times. Cellular technologies have undergone a transition from a restricted local communication in the early stages to extremely fast global communication enabler. The First Generation provided basic voice communication limited within a particular region at relatively low speed. The Second Generation underwent a transformation with respect to speed, network security and inclusion …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 1, 2018 · pp. 43–51 Read article
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Molecular Docking and Interaction of Anthocyanin Derivatives in Regulating Hippo-taz Pathway for Renal Injuries
Abstract: Introduction: The Hippo pathway plays a pivotal role in renal disease, with Yes-associated protein (YAP) exhibiting promise for combined treatments. The crucial evaluation of YAP-targeted drug safety and efficacy through preclinical studies is imperative. Additionally, α-SMA and SMAD3 emerge as potential therapeutic targets in renal fibrosis, driving ongoing research toward innovative interventions. Materials and Methods: In the systematic identification of therapeutic secondary metabolites, Anthocyanin derivatives were methodically retrieved from the …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 1, 2024 · pp. 23–38 Read article
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Computational Biomodeling: Transforming Drug Design with Advanced Simulations
Abstract: Computational biomodeling has emerged as a transformative approach in the field of drug discovery, significantly enhancing the efficiency and precision of identifying and optimizing potential drug candidates. This article explores the various computational techniques utilized in drug design, including molecular docking, molecular dynamics (MD) simulations, free energy calculations, and virtual screening, and examines how these methods collectively contribute to the drug development process. The integration of these advanced simulations allows …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 24–29 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article