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1966 articles for “havriliak–negami modeling” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Challenges, Risks, and Limitations of Vibe Coding in AI- Assisted Software Development
Abstract: Vibe coding a new way of programming driven by LLMs (Large Language Model).it helps developers to write code from natural language. Coders can use prompts to AI for there code generation. Ai assistant generate software directly threw the text. Now they are able to make tasks and understand the user requirements. This process make our development fast and easy for the developers. but vibe coding has some drawbacks sometime it …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 Read article
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Machine Learning Optimization for VARTM Carbon Polymer Laminates
Abstract: Vacuum-assisted resin transfer moulding (VARTM) is a key low-cost, out-of-autoclave process for manufacturing large-scale carbon-fibre reinforced polymer (CFRP) laminates crucial to aerospace wings, wind-turbine blades, marine hulls, and automotive structures. Unpredictable resin flow often leads to voids, dry spots, and race-tracking defects, resulting in 27.9% scrap rates and lengthy, costly trial-and-error design cycles. Although surrogate models provide rapid impregnation predictions for simple flat-plate geometries, vision-based monitoring is limited to idealized …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 229–245 Read article
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Influence of Infill Density on Structural Performance of FDM-Processed PET-G Polymer: Experimental Validation through Quadcopter Flight Testing
Abstract: Polyethylene terephthalate glycol-modified (PET-G) is an amorphous thermoplastic copolymer increasingly adopted in structural applications through fused deposition modeling (FDM). However, the correlation between FDM processing parameters, especially infill density, and mechanical performance of PET-G parts remains inadequately characterized under real-life loading conditions. This study investigates how infill density (10% and 30%, grid pattern) influences the structural integrity of FDM-processed PET-G components, validated experimentally through quadcopter airframe fabrication and flight testing. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 644–656 Read article
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Structure–Property Correlation of Infill Topology and Density on Tensile and Flexural Performance of FDM-Printed PLA and ABS
Abstract: Additive Manufacturing (AM), particularly Fused Deposition Modeling (FDM), has become a widely adopted manufacturing technology due to its design flexibility, low cost, and capability for rapid prototyping. However, the mechanical performance of FDM-printed components is strongly influenced by internal structural parameters such as infill pattern and infill density, in addition to the intrinsic material behaviour. This study investigates the structure–property relationship between infill topology, density, and mechanical performance of PLA …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 26–37 Read article
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The Synthetic Media Threat: Generative AI and Deepfake Technology enabled Synthetic Media as Emerging Vectors of Cyberterrorism
Abstract: Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Dynamic Vibration and Damping Analysis of Sustainable Nano-Reinforced Polymer Composite Elements for Vehicle Suspension Applications
Abstract: This paper presents an analytical investigation into the dynamic vibration characteristics of nano-reinforced polymer composite elements intended for vehicle suspension applications. A single-degree-of-freedom (SDOF) quarter-car model is employed to derive fundamental expressions for natural frequency, damping ratio, logarithmic decrement, and displacement transmissibility. The primary contribution lies in establishing explicit analytical linkages between material-level viscoelastic properties specifically storage modulus and loss modulus and system-level suspension parameters including stiffness and damping coefficients. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 561–570 Read article
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Performance-Based Wind Response Analysis of Tall RCC Iregular Structures Using Autodesk Revit and Robot Structural Analysis
Abstract: The increasing trend of vertical construction has made wind effects a critical consideration in the design of tall reinforced concrete (RCC) buildings. The response of such structures is largely governed by their geometric configuration, stiffness characteristics, and modelling accuracy under wind loading conditions Wind loads are evaluated based on standard provisions such as IS 875 (Part 3): 2015, which provide essential guidelines for structural safety This study focuses on evaluating …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 3, 2026 Read article
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Battery Energy Storage Optimization for Enabling Black Start in Offshore Wind Farms
Abstract: The transition toward power systems dominated by renewable energy sources (RES) introduces significant challenges to the provision of black start services. Black start units are essential for restoring power following a system-wide outage; however, the gradual retirement of conventional generation reduces the availability of such resources, potentially compromising grid resilience. Offshore wind farms (OWFs) are increasingly considered as viable alternatives for black start support. Nevertheless, their inherent variability and intermittent …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
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Investigation on mechanical performance of 3D printed PLA-Kraft Lignin composites
Abstract: Bio-based polymer composites are becoming more popular due to the growing need for sustainable and biodegradable materials in additive manufacturing. PLA-kraft lignin composites were created and their mechanical performance in fused deposition modeling (FDM) applications was assessed in this work. Polylactic acid (PLA) was mixed with Kraft lignin, a sustainable by-product of the paper industry, at weight percentages of 0%, 1%, 3%, 5%, and 7%. Melt blending was utilized to …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1002–1015 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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Comparative Cooling Analysis of EV Battery Packs using MATLAB Simscape
Abstract: Since electric vehicles (EVs) transition to high- voltage systems to enable quicker charging and enhanced delivery of power, the high heat emitted during rapid discharge is a significant challenge. This paper presents a direct comparative study of passive air cooling and active liquid cooling of a lithium-ion battery pack. Due to the high cost of constructing the physical prototypes, we created a computationally efficient and hierarchical virtual prototype in MATLAB …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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A Conceptual Framework and Policy Analysis
Abstract: Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Toxicological Profiling and Safety Assessment of NASAT 2.0: A Conceptual Framework for Adaptive Nanoparticle Therapy in Rabies
Abstract: Rabies, caused by the highly neurotropic Rabies lyssavirus, remains one of the most enigmatic and universally lethal infectious diseases known to modern medicine. Once clinical symptoms manifest following successful neuroinvasion, the fatality rate approaches absolute certainty (approximately 99.9%), a staggering statistic that has remained largely unchallenged despite massive, concurrent advances in modern virology, critical care medicine, and cellular immunology. Current late-stage therapeutic protocols, most notably the widely debated Milwaukee Protocol, …
Published in Research and Reviews: A Journal of Toxicology · Vol. 16, Issue 2, 2026 · pp. 1–19 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Solid-State Reactions: Mechanistic Insights, Kinetic Behavior and Emerging Applications in Advanced Materials
Abstract: Solid-state reactions are fundamental to the synthesis and transformation of inorganic materials, playing a crucial role in the development of ceramics, semiconductors, catalysts, and energy storage systems. Unlike reactions in liquid or gaseous phases, they are limited by restricted atomic mobility and typically require elevated temperatures to enhance diffusion and overcome activation energy barriers. These reactions proceed through interfacial contact between solid reactants, followed by nucleation of product phases and …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 10–14 Read article
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Anti-molestation Device with Heart Rate Sensor
Abstract: Over the last few years, the status of women in India has changed dramatically. Women, however, continue to face social problems and are frequently victims of abuse and violent crimes. Every day, hundreds of thousands of women are subjected to acts of manhandling. Our project’s sole strategy is to provide police, friends, parents, and women’s cell with an instant location and a message to a predefined number in order to …
Published in Journal of Mobile Computing, Communications & Mobile Networks Read article
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Power Estimation Approach for Artix 7 FPGA using Machine Learning Technique
Abstract: This paper presents the power estimation approach using a suitable machine learning technique. Artix7 FPGA has been chosen as the target FPGA (Field Programmable Gate Arrays) platform for understanding the methodology of power estimation. There are various approaches of power estimation for FPGAs that have been given in the literature viz. probabilistic, statistical, and LUT- based, etc. In the past few years, the demand for hand-handled devices like smartphones, tabs, …
Published in Research & Reviews: A Journal of Embedded System & Applications Read article
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Design and Simulation of Forging Die Towards Improving Life of Closed Die
Abstract: Forging is the metal forming process which is used for forming complex shaped component with geometrical accuracy. More than fifty percent of the forgings are processed through this way. Forged components required in many engineering sectors, most of them in the automotive sector. The majority of the safety critical component and load bearing structural components are process through it. By using forging process production of complex component is faster with …
Published in Journal of VLSI Design Tools and Technology Read article
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Thermal Analysis of Piston
Abstract: Analysis of thermal changes of piston, in an automobile an engine is heart of automobile likely in engine that actual mean to piston, who having very important role in the engine, Piston is always subjected to various loads mainly subjected to thermal and mechanical stresses. The role of piston is very clear i.e. transmit or the guide the piston rod which is connected to crankshaft while transmitting piston has to …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation Read article
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Assessing the Performance of DL Methods in Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a computer vision task that involves the automatic identification and classification of hand-written digits. The objective is to develop models capable of accurately recognizing and distinguishing digits handwritten by humans. With the development of machine learning and deep learning techniques, this field has advanced remarkably. The convolutional neural network (CNN) is the most often used technique for this purpose. By utilizing CNN, the model can learn …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 25–32 Read article