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1059 articles for “Model optimization”
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Magnetic and Radioactive Nanoparticles for Improved Theranostics and AI Assisted Radiation Therapy
Abstract: Nanoparticles based therapeutic and theranostics technique is becoming an active area of research in nanomedicine. The sensitivity, biocompatibility, and stability of magnetic and radioactive nanoparticles determine their functionality. This research highlights the impacts of magnetic and radioactive nanoparticles on therapeutic techniques namely, cell therapy, gene therapy, and tissue regeneration. Then, it is intended to brief a principal role of these therapeutic techniques to envisage theranostics medicine and radiation therapy using …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 10–21 Read article
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Accuracy Improvement for Propeller Cavitation Noise Prediction Using UDF
Abstract: Recently, there has been an increase in demand for propulsion systems with higher hydrodynamic performance and lower underwater-radiated noise, as environmental issues are gaining more attention in addition to the traditional military necessity. It is important to reduce cavitation noise when designing propellers of the ships, especially for oceanographic research vessels because they use acoustic instruments and cavitation noise can interfere with their operation. It is well known that, when …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 2, 2025 · pp. 18–26 Read article
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Design and Computational Analysis of Hybrid Carbon Fiber-Enhanced Metal Matrix Composite Spur Gears
Abstract: The automobile industry has to find the alternative solution for steel grade gears to overcome the weight to high strength ratio and thermal consideration with high damping properties. This study describes the design, FEM analysis, and performance evaluation of three new hybrid composite spur gears: a monolithic carbon fiber/epoxy (80/20 weight percent) composite (A), and two hybrids with steel (B) and aluminum (C) matrices (64% CF, 21% Epoxy, 15% metal). …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 158–172 Read article
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Machine-Learning-Assisted Development of Polymer-Biochar Composite Adsorbents for the Removal of Heavy Metals from Gomti River Water
Abstract: Rapid urbanization, industrial discharge, and agricultural runoff pose a significant threat to freshwater sustainability and public health. Within these ecosystems, polymer pollutants—such as microplastics, nanoplastics, synthetic fibres, and additive residues—have emerged as persistent vectors capable of adsorbing and transporting toxic heavy metals. Because these polymeric contaminants dynamically interact with conventional aquatic parameters to alter pollutant mobility and ecological risk profiles, there is an urgent need to transition from passive environmental …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 72–95 Read article
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Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Parametric Study of Fused Deposition Modelling Process During Fabrication of Acrylonitrile Butadiene Styrene (ABS) Based Injection Molding Die
Abstract: The purpose of this study is to dictate an optimum process parameter during the fabrication of additively manufactured acrylonitrile butadiene styrene (ABS) based injection mold using fused deposition modelling methodology based additive manufacturing process and to assess the quality of the infection mold by analyzing the surface roughness of the injection mold, and the time taken in the manufacturing of the mold. The ABS PRO+ filament is used in manufacturing …
Published in Journal of Polymer & Composites · Vol. 10, Issue 1, 2022 Read article
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THE EFFECTS OF ENERGY CONSUMPTION ON THE TURNING PROCESS FOR VARIOUS WORK-PIECE MATERIALS
Abstract: The study modified its goal to energy-intensive titanium alloys, contrasting traditional and high-speed machining processes. According to the study, a solution is needed to reduce or optimize energy use. So, a machined component energy footprint model was created. Several cutting speeds were used to calculate (k). Material removal rates were compared to cutting speeds for a range of materials and levels of detail. A strategy for selecting optimal cutting conditions …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 54–65 Read article
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Optimizing Milling Parameters in Face Milling Operation
Abstract: In statistics, response surface methodology (RSM) establish a relationship between several self or system explanatory variables and one or more response variables. Since many variables are involved to control the process, the requirement of some mathematical models to represent the process is found to be necessary. In order to extract the result by this statistical analysis, the experimental results will have to be processed using the analysis of variance (ANOVA). …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 60–76 Read article
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Wall Street Prognosis
Abstract: We all know that the stock market is volatile. There is so much turmoil and turbulence in the stock market that it is difficult to predict what will happen. The main purpose of the thematic debate is to predict the future stability of the market with probability coefficients. Investors are familiar with the adage “buy low, sell high” but it doesn't provide enough context to make sound investment decisions. Before …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 9–15 Read article
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Quantum Error Correction on Cryptography
Abstract: This article introduces novel concepts in quantum error correction and cryptography. It explores “approximate quantum error correction” (AQEC), which relaxes the requirement for perfect error correction in quantum systems. AQEC specializes in creating codes tailored to specific types of noise models. The study establishes a universal, near-optimal recovery map for AQEC, simplifying the identification of effective approximate codes. In the realm of noisy-storage cryptography, the research envisions secure two-party cryptographic …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 18–23 Read article
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Node Deployment Techniques for Link Prediction in Heterogeneous Social Networks
Abstract: AbstractThis research analyses the coverage problem in heterogeneous social network system with two types of sensor nodes having different sensing ranges. The Particle Swarm Optimization (PSO) algorithm is implemented for coverage optimization in heterogeneous network system. This algorithm is used for finding the optimal deployment of the sensor nodes by using specific fitness function. The performance of sensor nodes after running PSO algorithm is evaluated by using Euclidean distances for …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Dynamic deformation and microstructural characteristics of AA5083 under the influence of electrochemical behaviour using equal channel angular pressing
Abstract: Large-scale Equal channel angular pressing is a great engineering material that has more potential for AA5083 industrial applications. Uniaxial dynamic compressive tests across a temperature of 448 K were conducted for the ECAP technique AA5083 in order to create such a design framework. The microstructure was described using transmission electron microscopy and scanning electron microscope both before and after dynamic loading. The plastic flow behaviour of the AA5083 was described …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 95–112 Read article
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Smart Management of EV Charging Station Using AI Chatbot & TOM API
Abstract: This paper endeavors to address the pressing challenges associated with EV charging by proposing a comprehensive smart management system for EV charging stations. The system aims to streamline the EV charging process, making it more accessible, convenient, and sustainable for users. By harnessing the power of renewable energy sources, particularly photovoltaic systems, the paper seeks to mitigate the environmental impact of EV charging while simultaneously optimizing resource utilization. Through innovative …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 2, 2024 · pp. 16–23 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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Simultaneous Optimization of Multiple Performance Characteristics in MIG Welding for Machining AISI-304 Stainless Steel by Weighted Principle Component Analysis
Abstract: The effect of MIG welding parameters specifically Welding current, Voltage, Gas flow rate and Plate thickness during welding of AISI-304 stainless steel Material on MIG welding machine at different level presents in this work. All the welding parameters are modeled using Taguchi-based Principle Component Analysis (PCA). Principal component is used as multiple responses optimizing technique to drive optimal solution, which gives the overall quality index in experimental process, and finally …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 77–85 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Optimized AES Implementation on Leon3
Abstract: This paper presents implementation of AES (Advanced Encryption Standard) on LEON3 which is a soft-core processor. We have used the AMBA (Advanced Microcontroller Bus Architecture) bus for interfacing our AES IP (Intellectual Property) core with Leon3 processor. AMBA bus is an in built open source bus which comes along with Leon3 processor. We have mainly analyzed parameters such as throughput, slice utilization and compared our model based with previous work. …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 1, 2015 · pp. 30–33 Read article
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Comparison of RSM and ANN Modeling Approaches in Predicting the Laser Phase Transformation Hardening Parameters on the Heat Input and Hardened-Bead Profile Quality of Unalloyed Titanium
Abstract: In the present work, laser transformation hardening (LTH) of unalloyed titanium, nearer to ASTM Grade 3 of chemical composition was investigated using CW 2kW, Nd: YAG laser. The laser process variables such as laser power, scanning speed, and focused position play a major role in deciding the laser hardened bead quality. Two methods, Response Surface Methodology (RSM) and Artificial Neural Network (ANN) were used to predict the heat input and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 1, 2015 · pp. 36–59 Read article
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Development of Automobile Scaled Model from CAD (Blender) Using FDM 3D Printing
Abstract: Additive manufacturing (AM), also known as 3D printing, has emerged as a disruptive technology with the potential to transform automotive manufacturing. This paper reviews the applications of AM across the automotive product development lifecycle. The paper examines case studies demonstrating the use of AM for developing computer-aided design (CAD) models from concept sketches. Overall, AM brings several benefits such as design flexibility, faster time-to-market, and distributed production. However, there are …
Published in International Journal of Advanced Control and System Engineering · Vol. 2, Issue 2, 2024 · pp. 1–9 Read article
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Structure based pharmacophore Modelling of compounds against Neurodegenerative disorder – Amyotrophic Lateral sclerosis
Abstract: Amyotrophic lateral sclerosis (ALS) is a devastating neurodegenerative disease characterized by the progressive degeneration of motor neurons, leading to muscle dysfunction, paralysis, and eventually death. These diseases are classified as ALS variations because autopsies reveal abnormalities in both upper and lower motor neurons. These disorders account for only 10% of all adult-onset motor neuron disease cases. Despite extensive research efforts, effective therapeutic interventions for ALS remain limited. Structure-based pharmacophore modeling …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 3, 2023 · pp. 1–17 Read article