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1976 articles for “bending-mode piezoresistivity” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Unmasking Hallucinations in Large Language Models Using Analysis of the LLAMA 2 Model and RAG Intervention
Abstract: The study describes the creation of a chatbot for financial trading called "TradeBot" and how it uses Retrieval Augmented Generation (RAG) to overcome the problem of producing false or unverifiable information, sometimes known as hallucinations. RAG allows the chatbot to refer to an external data source in addition to its taught knowledge, which increases the accuracy of its responses. The NCFM (NSE's Certification in Financial Markets) book was integrated as …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 76–86 Read article
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Advancements in Material Design and Motion Control: Integrating Additive Manufacturing, Fused Deposition Modeling, and Precision Systems in Modern Applications
Abstract: The interaction between material design, mechanical properties, and advanced motion control systems is vital in a range of engineering domains, including robotics, electronics, and manufacturing. This article examines two key areas: the mechanical properties and design of cutting-edge materials, focusing on composites, polymers, ceramics, and fibers, and the integration of advanced motion control systems in hand-held electronic and photographic devices. The first section delves into the mechanical behavior of various …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 26–30 Read article
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Encoder-Decoder Based Fine-Tuned Model for Code Doubt Solver
Abstract: As we are growing in technology, more technologically skilled persons are needed in industry. They all often rely on programming in their daily work, and when some doubts arise, they seek help from teachers to LLMs like GPT to Deepseek. However, when errors arise, then comes hectic part to troubleshoot and resolve the error. Usually, people seek help from some LLMs like GPT, or Deepseek for the solution; they give …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 35–42 Read article
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A GEO-STATISTICAL MODEL FOR DOWNSCALING SOLAR IRRADIATION DATA: A CASE OF ODISHA
Abstract: Most of the environ-climatic issues are caused by the over-burning of fossil fuels such as coal and petroleum. Our over-dependency on non-renewable resources has led us to over-exploitation of fossil Fuels. Sustainable development has become one of the causes of the growing demand for clean energy. With the current development of new technology, the efficiency of solar panels has increased severalfold. So, identifying the energy resources properly is the most …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 3, 2023 · pp. 12–17 Read article
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Computer Modeling of Organic Thin Film Transistors (OTFTs) using Verilog-A
Abstract: AbstractOrganic electronics has drawn considerable attention of the researchers with organic thin film transistors (OTFTs) as key components for various applications. Compared to the silicon industry where public models are well defined and commonly used to provide designers with a relative good description of any process, organic devices are still lacking for their complete device models that can fully describe their electrical characteristics. Therefore, compact model development for OTFTs is …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 1, 2018 · pp. 1–7 Read article
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Mathematical Modeling and CFD Analysis for Protype Model Development of a Low-cost Hybrid Power Operated Mini Kitchen Chimney for Rural Households
Abstract: Home chimneys remove pollution by products of fossil fuels from the atmosphere. Today's environmental problems are worsening rapidly due to technology and population growth. Thus, researchers developed a hybrid micro kitchen chimney to help rural residents at a low cost. This small hybrid chimney simplifies rural cooking. A kitchen chimney is the best way to remove smoke, grease, stink, stains, oil droplets, and more from the kitchen. It helps ventilate …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 14–28 Read article
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Comparative Analyses of Select Microbial Growth Inhibited Rate Models
Abstract: Food waste is a complex substrate comprising of different mixtures of chemical compounds. The growth rate of micro-organism in such environment will experience inhibition. Consequently, the Monod’s model will not be able to describe the growth rate of its bacteria. The Aiba’s, Andrews and the Haldane’s growth rate models that are accounts for growth rate of bacteria with inhibition were compared. To do this, seven different batch experimentations; each with …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 1, 2024 · pp. 16–24 Read article
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Reviving Retro: Exploring the Resurgence of Vintage and Mid-Century Modern Design in Contemporary Residential Interiors
Abstract: The revival of vintage and mid-century modern design within contemporary residential interiors has emerged as a prominent trend, captivating homeowners, designers, and enthusiasts alike. This research paper aims to comprehensively explore this phenomenon, delving into its historical roots, the multifaceted factors driving its resurgence, the defining characteristics of vintage and mid-century modern design, its enduring appeal, and its implications for contemporary interior design practices. Through an extensive review of literature, …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 13, Issue 1, 2024 Read article
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Seasonal Variation in the Weibull Parameters from In Situ Measurements and Model: A Case Study in the Bay of Bengal
Abstract: Seasonal variation of wind speed (U10) and its distribution are essential for the design of wind energy converters (WEC). In this study, year-round wind speed observations from a deepwater moored buoy at a location in the Bay of Bengal are used to assess the potential for wind power generation and are used to validate the ERA5 model. Model-U10 distribution is confined to low wind speeds with high occurrence in the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 1, 2024 · pp. 30–40 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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A Comprehensive Study of Natural Language Processing Systems Using Modern Programming Languages: Techniques, Architectures, Experimental Evaluation and Applications
Abstract: Natural language processing is a key field of study within artificial intelligence that focuses on enabling machines to understand and work with human language. This is because there is much digital text data everywhere. Natural Language Processing is what this study is about. It looks at new ways of doing Natural Language Processing. The old ways are like machine learning, and the new ways are like learning. This study compares …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 12–23 Read article
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Twisting, Super Twisting and Adaptive Algorithm Sliding Mode Controller for Second Order Time Delay Systems
Abstract: The sliding mode control approach is widely considered as one of the most effective methods for designing a reliable controller for a complicated higher-order dynamic plant operating under uncertainty. The primary advantages of sliding mode is its low sensitivity to changes in plant parameters and the ability to entirely eliminate disruptions. Sliding mode control has been widely applied as a robust control design methodology that is completely insensitive to uncertainties, …
Published in Current Trends in Signal Processing · Vol. 11, Issue 2, 2021 · pp. 10–27 Read article
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Modal Analysis of RC Masonry Infill Model and Prototype Frames with Openings
Abstract: Modal evaluation is the technique of figuring out the inherent dynamic traits of the shape in phrases of herbal frequencies and mode shapes and the usage of them to create a mathematical version for its dynamic behavior. The dynamics of a structure is defined by frequency and position. Modal evaluation offers the records regarding to exceptional modes of vibration, exceptional form that may be taken up via way of means …
Published in Journal of Structural Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 13–21 Read article
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Triangular Waveform Generation using Mixed Signal Modeling
Abstract: The development of modeling languages such as Verilog-HDL and Verilog-AMS allows the behavior of analogue and mixed signal circuits to be described with a more lucid way as compared to the conventional circuit-level simulators. Mixed-signal simulators are thus providing a new platform for more efficient modeling of mixed signal that contains both the analogue and discrete features which was not previously possible. The non-linear characteristics of many circuits are still …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 2, 2014 · pp. 8–17 Read article
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Novel MOSFET Based Pressure Sensor That Uses Combined Channel Piezoresistance and Gate Capacitance Effects
Abstract: The paper considers modeling and analysis of a square and circular diaphragm Suspended Gate MOSFET based pressure sensor using COMSOL Multiphysics. Two structures, one a square with an n-channel MOSFET at the center and the second a circle with a p-channel MOSFET at the edge of the diaphragm were simulated. The piezoresistance effect of the channel and capacitance variation due to the suspended gate have been exploited in designing the …
Published in Recent Trends in Sensor Research & Technology · Vol. 2, Issue 2, 2015 · pp. 30–39 Read article
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Performance Analysis of Wireless Propagation Model to Improve Signal Strength and BER for Wireless Mobile Network
Abstract: AbstractWhenever we setup a network, environment properties such as fading, scattering etc. plays a very important role in choosing spectrum and method of propagation. The spectrum deals with frequency range suitable for communication in a particular environment, and the propagation method deal with channel selection, channel sensing and to perform quality communication throughout the network. To achieve quality output from the network, it is necessary to define network under different …
Published in Journal of Communication Engineering & Systems · Vol. 5, Issue 2, 2015 · pp. 1–7 Read article
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Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling
Abstract: This study proposes a novel Physics-Adaptive Digital Twin with Neural-Operator Reduced-Order Modelling (PADT-NO) framework for predictive modelling of complex, nonlinear, and multiscale fluid flows. The proposed mathematical framework integrates fundamental conservation laws, Navier–Stokes dynamics, physics-constrained neural operators, adaptive reduced-order modelling, and uncertainty-aware state estimation within a unified computational architecture. Unlike conventional computational fluid dynamics and purely data-driven approaches, the proposed model dynamically couples high-fidelity physical information with a low-dimensional latent …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 89–103 Read article
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A Framework for Privacy-preserving AI Models in Cloud Computing: Challenges and Solutions
Abstract: The growing adoption of cloud computing for deploying artificial intelligence (AI) models has led to significant advancements in sectors such as healthcare, finance, and e-commerce. However, the integration of AI with cloud computing raises critical privacy concerns, particularly when handling sensitive data. This paper presents a comprehensive framework for implementing privacy-preserving AI models in cloud environments, addressing the unique challenges, and proposing effective solutions. The suggested framework employs advanced privacy-preserving …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 3, 2024 · pp. 1–12 Read article
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Comparative Analysis of Kinetic Models for Simulation of Biogas Production from Cow Dung and Fruit Waste via Anaerobic Digestion
Abstract: This study investigates the optimization of biogas and biofertilizer production from cow dung and fruit waste through anaerobic digestion, utilizing various microbial growth kinetic models. Simulations were conducted using the Monod, Moser, Contois, and Tessier models to predict biogas yield and assess model accuracy. Results indicated that the Tessier model provided the closest fit to experimental data, with a biogas yield of 0.45 m³/kg VS, while the Monod model overestimated …
Published in International Journal of Membranes · Vol. 2, Issue 1, 2025 · pp. 47–63 Read article