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246 articles for “meta models”
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Statistical Analysis on Weld Bead Geometry of Pulsed Current Micro-plasma Arc Welded AISI 316Ti Austenitic Stainless Steel Sheets
Abstract: Micro-plasma arc welding (MPAW) uses low amperage to join sheets, where the thickness is low, such that they can be used for manufacturing metal bellows, metal diaphragms etc. In the present work, pulsed current MPAW is used for joining 0.3 mm thick AISI 316Ti austenitic stainless steel sheets. Peak current, base current, pulse rate and pulse width are considered as input parameters and weld bead geometry parameters namely front width, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 2, 2016 · pp. 20–37 Read article
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Exploring Gelatin Film an Eco-Friendly Biomaterial: Synthesis, Characterization, and Environmental Applications
Abstract: This study explores the synthesis, characterization, and application of eco-friendly gelatin films, a sustainable and biodegradable biopolymer alternative to synthetic plastics. Synthesized via solution casting and characterized by UV-Vis spectroscopy, FTIR, and TGA, these films demonstrated excellent molecular integrity and thickness-dependent properties, with higher gelatin concentrations leading to thicker films and delayed solubility. The research highlights their significant potential in removing diverse environmental pollutants, including dyes (methylene blue, methyl orange), …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 41–49 Read article
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Implementation of Drone Technology to Prepare a Contour Map of Nesave Village
Abstract: Nowadays modern surveying techniques or instruments like DGPS, LiDAR and Drones are widely used as they cover more area in less time for surveying. Such techniques can even be used where visiting survey areas are tough or not possible. Drones are used instead of traditional surveying in a village named Nesave. Drones are used to capture images and process them using specialized software such as Agisoft Metashape Professionals and QGIS …
Published in Journal of Geotechnical Engineering · Vol. 12, Issue 2, 2025 · pp. 1–13 Read article
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Pf Phosphatidylserine decarboxylase: Molecular modeling and inhibithors prediction
Abstract: Plasmodium falciparum (P.f) is a protozoan parasite responsible for the most severe and deadly form of malaria. The resistance of Pf to last resort antimalarial drugs has been reported, there is an urgent need to identify new therapeutic candidates for drug development. Advancements in bioinformatics technologies provide potential cost and time-effective solutions for predicting therapeutic candidates. Phosphatidylserine decarboxylase (PSD) is a member of the lyase family (more specifically, the carboxy-lyases), …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 60–78 Read article
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Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 Read article
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Modelling of The Viscoelastic Composite Curved Panel for The Time Domain Analysis Using TTBDF, β1 / β2−Bathe and Newmark Method
Abstract: Viscoelastic materials are extensively used in structures, especially thin-walled structures, for damping. The accurate modelling of the time domain dynamics of the viscoelastic material is essential for appropriately capturing the damping of the viscoelastic material. Various implicit and explicit time integration schemes are available to evaluate time domain response. However, the rightness of the implementation of the time integration scheme to the viscoelastic material model is very essential. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 204–222 Read article
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Influence of Photoelectrons on Spacecraft Charging for Artificial Orbiting Spacecraft
Abstract: For the purpose of evaluating the temporal body potential and capacitance of an artificial orbiting spacecraft, this research analyzes the impact of photoelectrons on spacecraft charging. A metallic rectangular cuboid and two coplanar metallic rectangular plates compose the spacecraft model. The Runge-Kutta method is used to calculate the body potential, and the method of moments is used to calculate the capacitance. Depending on the spacecraft's inclination angle, solar energy from …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 36–46 Read article
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E-Commerce Study Using AR/VR and Ethical Convergence of Commerce
Abstract: The landscape of E-commerce is undergoing a fundamental transformation, shifting from a platform-centric model of transactional exchange to an immersive, ecosystem-driven experience. This analysis examines the critical trends and disruptive forces that define the immediate and long-term trajectory of digital commerce. The study identifies three foundational pillars driving future growth: Hyper-Personalization via Generative AI, Spatial Commerce (AR/VR Integration), and Sustainable Supply Chain Resilience. Future E-commerce will be characterized by the …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 20–26 Read article
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Determining the Effect of Cutting Parameters on Surface Roughness in Turning Process Using the Taguchi Method
Abstract: This study focuses on optimizing turning parameters based on the Taguchi method to minimize surface roughness (Ra). Experiments have been conducted using the L9 orthogonal array in a CNC turning machine. Turning tests are carried out on aluminium alloy AISI 1061 with carbide cutting tools. Each experiment is repeated two times and each test uses a new cutting insert to ensure accurate readings of the surface roughness. The statistical methods …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 2, Issue 3, 2015 · pp. 17–22 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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Modeling and Numerical Simulation of Forged Ploughing Disc
Abstract: Forging operation is the oldest metal forming process known for producing a product of a reduced void and improved physical properties which make it suitable for manufacturing of a ploughing disc that can be applied in sticky soil, for deep plough. It can also be used safely in stony and stumpy soil without much danger of breakage. This study focuses on identifying appropriate parameters for the manufacturing of a proper …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 35–42 Read article
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Quantum Behavior of Charge Carriers in a Symmetrical Double Gate MOSFET
Abstract: Our earlier work on modeling of single gate n-channel metal oxide semiconductor field effect transistor (MOSFET) has been extended to discuss the quantum behavior of charge carriers in symmetrical double gate (DG) MOSFET. The potential profile in the channel region of DG MOSFET has been obtained in parabolic approximation. The parabolic potential facilitates analytical expression for electric field. The appropriate Schrodinger’s equation has been solved to obtain wave functions in …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 1, 2021 · pp. 17–28 Read article
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The Role of 3D Modeling in Additive Manufacturing: Advances and Applications
Abstract: By making it possible to create intricate, highly functional, and customized components for a range of industries, the combination of 3D modeling and additive manufacturing (AM) has completely changed contemporary production processes. With an emphasis on both the technological advancements in digital design and its real-world applications, this paper examines the critical role that 3D modeling plays in the success of additive manufacturing. 3D modeling, the cornerstone of additive manufacturing, …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Theoretical and Experimental Investigation of Non-linear Vibration Response of an IPMC Actuator Subjected to Alternating Electric Potentialf
Abstract: The precise predication of stable and unstable zone for an applied excitation voltage and frequency is of importance in many micromechanical systems utilizing ionic polymer metal composite (IPMC) as the actuator. A linear dynamic model thus will no longer be valid for IPMC actuator having low thickness and thus more flexible. In this article, non-linear vibration characteristics of a silver (Ag) based IPMC actuator is studied under alternating electric potential …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 1, 2014 · pp. 11–26 Read article
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Structure Property Correlation of Polymer Dielectrics Using Electrical Response Data
Abstract: Polymer dielectrics are foundational to insulation, capacitors, embedded passives, and flexible electronics, where performance is governed by the frequency-dependent electrical response rather than a single dielectric constant. This study presents a spectroscopy-aware structure–property correlation framework that transforms dielectric response data into physically interpretable spectral fingerprints and learns mappings from polymer descriptors to these fingerprints for prediction and interpretation. Broadband spectra are standardized on a log-frequency grid and parameterized using relaxation-informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 315–324 Read article
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Generative Artificial Intelligence with Emphasis on Large Language Models: Review and Current Trends
Abstract: Generative Artificial Intelligence deals with AI systems that generate new content, such as text, and images. It accomplishes this by using data patterns of texts and images that already exist. Generative AI began an era of major advancement in AI, producing more refined and human-like results. Large Language Models, LLMs, is a part of Generative AI with applications in Natural Language Processing such as text generation, translation, summarization, sentiment detection …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 40–46 Read article
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Advanced Mathematical Modelling of Nanoscale Semiconductor Devices for Low-Power Microelectronic Applications
Abstract: With the ongoing scaling down of semiconductor devices, there is an increasing need for accurate mathematical models of electrostatic control, carrier transport, leakage current, and power consumption at the nanometer scale. As the sizes of semiconductors continue to decrease, there is a growing need for accurate mathematical models of electrostatic control, carrier transport, leakage current, and power consumption at the nanometer scale. In this work, a common mathematical modelling approach …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 2, 2026 Read article
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Design and Analysis of Automobile Hood
Abstract: Bonnet is a main component of front portion of a car one which is used for many purposes. It is usedto decorate the car and add luxurious look. Bonnet is made in aerodynamic shape to reduce airresistance. Bonnet generally used to cover car engine. Therefore, the bonnet system is an accesspanel to the engine compartment to enable maintenance of power train, drive belts, battery, fluidlevels and lamp units, and it …
Published in Journal of Production Research & Management · Vol. 11, Issue 1, 2021 · pp. 42–52 Read article
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Optimizing Microbial Consortia for Enhanced Biofuel Production: A Metabolic Engineering Approach
Abstract: Biofuels, derived from renewable biomass sources, offer a promising avenue for reducing greenhouse gas emissions and mitigating environmental impact. Among the various approaches to biofuel production, microbial fermentation using microbial consortia has gained significant attention due to its potential for enhancing efficiency and sustainability. Microbial consortia, consisting of diverse populations of microorganisms, exhibit synergistic interactions between different types of microbes that can improve substrate utilization and metabolic robustness compared to …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 1, 2024 · pp. 46–53 Read article