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1272 articles for “Combination”
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 17, Issue 2, 2026 Read article
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An Empirical Analysis of Bluetooth Low Energy Reliability Challenges for Offline Messaging Applications
Abstract: In today's hyper-connected world, modern communication relies heavily on centralised internet infrastructure, making robust offline messaging solutions increasingly essential. A crucial vulnerability is revealed by network failures, natural disasters, and distant region deployments: communication breaks down when internet connectivity does. Due to its low power consumption and almost ubiquitous availability in contemporary smartphones, Bluetooth Low Energy (BLE) has become a promising candidate for offline, device-to-device communications. This study presents an …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Intelligent Automated Guided Vehicle (AGV) System for Optimized Material Handling
Abstract: This project is the development of an Automated Guided Vehicle (AGV) system that has been developed to handle materials in the high-accuracy, reliability, and efficiency in industrial settings. The AGV is a combination of a blend of advanced technologies including sensor fusion, real-time path planning, and AI-based navigation to allow smooth and intelligent operation with minimal human intervention. The vehicle is able to efficiently identify, and evade obstacles by using …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Medicinal Pteridophytes of Himachal Pradesh: Exploring Their Role in Alleviating Respiratory and Gastrointestinal Disorders
Abstract: Pteridophytes, comprising a diverse group of vascular cryptogams, have been widely used in traditional medicine for their medicinal properties. The therapeutic potential of different medicinal pteridophytes in treating gastrointestinal and respiratory conditions is investigated in this study. Their bioactive substances, including flavonoids, alkaloids, tannins, and saponins, which have anti-inflammatory, antibacterial, and antispasmodic properties, are highlighted by both traditional knowledge and recent research. Specific species, such as Adiantum capillus-veneris (maidenhair fern), …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article
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Tailoring the Compressive Behavior of Tetra-Chiral Auxetic Structures through FDM Process Parameters
Abstract: This research evaluates how fused deposition modeling (FDM) fabrication process parameters affect the compressive behavior of tetra-chiral auxetic structures created from Polylactic Acid (PLA). Auxetic materials have a number of useful properties, including reversible deformation and high-energy absorbing capabilities, which are beneficial to creating ultra-lightweight structural, protective, and shock-resistance designs. Among the available auxetic topologies, the tetra-chiral configuration is particularly attractive for engineering use, because its rotation-dominated node–ligament deformation gives …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Bio-Inspired FGPCs for Biomedical and Structural Applications
Abstract: Bio-inspired functionally graded polymer composites (FGPCs) represent a new class of smart materials that use gradient material distributions to enhance mechanical and biological properties, mimicking natural systems like bones, shells, and plant stems. FGPCs exhibit smooth gradient distributions across interfaces, which improves biocompatibility and reduces the risk of failure under complex loading and environmental conditions. In this study, bio-inspired FGPCs were designed, fabricated, and validated using a combined experimental and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–481 Read article
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Integrative Therapeutics for Antimicrobial Resistance and Autoimmune Disease: Evidence and Pathways
Abstract: Background: Antimicrobial resistance (AMR) is accelerating globally, while autoimmune diseases and adverse drug reactions (ADRs) continue to rise. Ayurveda offers immunomodulatory, antimicrobial, and detoxification‑oriented interventions that may complement biomedical strategies. Objective: To propose a hypothesis‑driven integrative model combining Ayurvedic phytotherapy, panchakarma detoxification, and personalized dosha‑based care with evidence‑based medical management to mitigate AMR emergence, modulate autoimmunity, and reduce ADR incidence. Methods: A synthesis of mechanistic literature on Ayurvedic herbs with …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 2, 2026 · pp. 25–30 Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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POLYMER AND COMPOSITE-BASED GEOSYNTHETIC REINFORCEMENTS FOR SEISMIC STABILITY OF SOIL RETAINING STRUCTURES: MATERIALS, MECHANICS, AND PERFORMANCE REVIEW
Abstract: Geosynthetic materials based on polymer and composites have become important items for the structural performance and seismic resilience of the reinforced soil retaining systems. Mechanically stabilized earth walls in recent geotechnical engineering practice are increasingly based on enhanced polymeric reinforcements for enhanced tensile strength, durability, flexibility, and energy dissipation under dynamic loading. High-density polyethylene, polypropylene, polyester, and fiber-reinforced polymer composites are usually used. The present review focus on the recent …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Automated Machine Learning System for Model Selection and Hyperparameter Optimization
Abstract: The proliferation of machine learning applications in various scientific and industrial domains has given rise to an urgent need for developing principled, automated techniques for optimal architecture selection and hyperparameter tuning for machine learning models without human expert intervention. In this paper, we introduce the Automated Machine Learning System for Model selection and hyperparameter Optimization (AMLSMO)—a state-of-the-art, all-encompassing AutoML system that combines the power of meta-learning-based warm-starting, Bayesian Optimization with …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 15–23 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Synthesis of Green Nanoparticles for Degradation of Cellulose
Abstract: Late advances in nano-science and technology have also prompted the advance of novel nanomaterials, which eventually increment potential eudaimonia and ecological perils. Enthusiasm for growing Earth's thoughtful ways for the mix of auriferous nanoparticles has been enlarged. The intention is to limit the negative effects of the designed methodology with artificial compounds and subordinate mixes. The abuse of assorted biomaterials for the mix of nanoparticles is a profitable methodology in …
Published in Journal of Modern Chemistry & Chemical Technology Read article
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Perspectives on ‘Kamsaharitaki’: an Ayurvedic Formulation for COVID-19 related Multisystem Inflammatory Syndrome (MIS)
Abstract: Background and Aim: Angiotensin-converting enzyme 2 receptor (ACE2), together with Transmembrane protease serine 2 (TMPRSS2), is a protein receptor for SARS-CoV-2 virus in the host subject; expression of ACE2 and TMPRSS2 reveals the multidimensional character of COVID-19 infection. SARS-CoV-2 Prominently induces pulmonary and systemic injury with other synergistic mechanisms. Preexisting chronic inflammatory conditions markedly sustain and aggravate the severity and cytokine storm. Inflammatory responses are closely linked with COVID-19 severity …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy Read article
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An Approach on Optimization of Thermo Physical Properties of Teak Wood Dust Filled Polymeric Composites
Abstract: The aim of the present work was to prepare the specimens with the help of hand-lay-up technique to measure the thermal properties of TWDPC. The density & voids of TWDPC were measured to determine its physical property & significantly affected some of its mechanical properties. Taguchi experimental method was applied to optimize its thermal properties. The optimal factor combinations were determined with the help of ANOM & the analysis of …
Published in Journal of Polymer & Composites Read article
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Competency of Natural Fiber Based Eco-Friendly Friction Lining Composites Over the Conventional Friction Material
Abstract: The Braking system is important system of automobiles and is responsible for providing better performance and safety. A Millions of automobiles are frequently decelerated and stopped at heavy traffic zone. Overall performance of vehicle braking system depends on braking conditions and brake material. All friction based application releases wear products; either gaseous form or particulate matter form and braking system is prime source of non exhaust particulate matter emission. The …
Published in Journal of Polymer & Composites Read article
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Comparative Analysis of CMOS CNFET and Memristor Based Full Adder Circuits and CMOS Memristor Based Multiplexer Circuits
Abstract: Continued developments in microelectronics technology have led to a myriad of new compute- intensive applications at the micro-edge, such as artificial intelligence and signal and image processing. Multiplication is a crucial arithmetic process in such applications. However, large logic complexities typically seen in traditional multipliers generate combinatorial blocks with long chains of cascaded carry addition. As such, energy efficiency has remained a primary design challenge for these applications, when powered …
Published in Journal of VLSI Design Tools and Technology Read article
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Seismic Retrofitting of Floating Column Building with Fluid Viscous Dampers and Structural Bracings by using Fast Non-linear Time History Analysis
Abstract: In some of the building structures, even in the newly constructed one, floating columns are used to achieve an aesthetic view or to satisfy the space requirement criteria of building areas like reception lobbies, parking spaces, conference rooms in malls etc. With the use of proper design considerations, buildings built with floating columns, which otherwise are not advised by the codes, can withstand vertical loads, i.e., gravity loads and live …
Published in Journal of Offshore Structure and Technology Read article
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Evaluation of Tectona Grandis Leaf Extract As A Green Corrosion Inhibitor for Aluminium in 1M NaOH
Abstract: A kind of tropical hardwood tree called the Tectona grandis tree that is indigenous to India. The name "teak tree" is another common name for this kind of tree. It is a member of the plant family that is referred to as Lamiaceae. The primary purpose of this research is to investigate whether or not the plant extract has a corrosion-inhibiting quality. In this study, an aqueous extract of Tectona …
Published in Journal of Polymer & Composites · Vol. 2, Issue 2, 2023 · pp. 41–50 Read article
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Extraction, Isolation, Characterization of Curcumin-I From Curcuminoids
Abstract: The major goal of this study is to extract, isolate, and characterize curcumin-I, a component of curcuminoids. Turmeric, or Curcuma longa Linn., plays a significant role in Ayurvedic medicine. Turmeric, or Curcuma longa Linn, is the popular name for this plant. An array of chemicals with biological activity may be more easily extracted with the help of this seasoning. Some of the compounds at play include curcuminoids and turmerone, although …
Published in Journal of Polymer & Composites Read article