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268 articles for “error model”
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Application of Artificial intelligence in Single Point Incremental Forming for Surface Roughness Prediction
Abstract: The sheet metal forming industries always try to find an emerging trend to form sheet-metal in a cost-effective manner. In this regard, a forming technique is trending termed as single point incremental forming (SPIF) in which a simple forming tool having hemispherical end rod is moving and simultaneously deforming the clamped metal sheet according to predetermined toolpath command and forms a complete shape. The achievement of required surface quality is …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 237–246 Read article
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IoT Based Smart Power Grid.
Abstract: An inefficient power grid can be affected by human mistakes, data loss, and manual circuit and logbook operation, which are all parts of how a power grid works. An IoT-based power grid is introduced to address the issue. Here, we may measure the circuit's current and voltage as well as its active (kW), apparent (kVA), and energy (kWh) powers. We can also use a computer or a mobile device to …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 13, Issue 1, 2023 · pp. 35–40 Read article
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Polypyrrole-Based Conductive Polymer-Gated Single Electron Transistor with Deep Neural Network Assistance for Biomedical Energy Harvesting and Charge Detection
Abstract: The increasing demand for intelligent biomedical monitoring systems has accelerated research into ultra-low-power sensing technologies capable of operating with high sensitivity and minimal energy consumption. Conductive polymers have attracted considerable attention for biomedical and nanoelectronic applications due to their tunable electrical properties, biocompatibility, and environmental stability. Among them, Polypyrrole (PPy) is a promising functional polymer that can enhance charge transport and electrostatic coupling in nanoscale devices. In this work, a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A New Analytical Expression of ASEP with MRC Diversity Over Composite Model of α-μ/Inverse Gaussian Fading Distribution
Abstract: AAbstract: Average Symbol Error Probability (ASEP) is an important performance metrics to evaluate the performance of any wireless communication system, under different modulation schemes over a fading channel. The phenomenon of shadowing and multipath fading are the two important factors which affect wireless communication. Composite modeling is an approach to accustom the effects of both simultaneously. This paper analyzes the performance of a wireless communication system over a composite model …
Published in Journal of Microelectronics and Solid State Devices · Vol. 6, Issue 1, 2019 · pp. 1–6 Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Experiment and calculation of vertical bearing capacity of large diameter belled pile
Abstract: Purpose–This paper aims to analyze the vertical bearing behavior of large diameter belled pile by carrying out static load test. Various calculation methods are used to calculate and determine the ultimate bearing capacity of large diameter belled pile.Design/methodology/approach–(1) According to the calculation method of allowable bearing capacity of single pile, the design ultimate bearing capacity of test pile and the load classification of loading and unloading are obtained. (2) Q-S …
Published in Journal of Geotechnical Engineering · Vol. 9, Issue 2, 2022 · pp. 1–21 Read article
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The Strength of Dry, Fresh and Decomposed Raffia Palm Trunk in the Bioremediation of Oil-based Drill Cutting
Abstract: In this research, the impact of dry drill cuttings and compost tea on the environment's ability to degrade oil-based drill cutting contamination is investigated. The experiment was conducted in the research center located at the workshop of Agricultural and Environmental Engineering Department, Rivers State University, Port Harcourt. Oil-based drill cutting samples were placed in bulk in eleven reactors (T1, T2, T3-T11) with four replications. The original drill cuttings' physiochemical characteristics …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 3, 2024 · pp. 26–33 Read article
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Perceptual Features Based Continuous Speech Recognition in Additive Noise Environment Using Various Modelling Techniques
Abstract: The main objective of this paper is to discuss the effectiveness of Mel frequency perceptual features and the noise reduction technique in evaluating the performance of multi speaker independent continuous speech recognition system in additive noise environment by using various modelling techniques. The proposed perceptual features are captured and trained using clustering technique, GMM, continuous density HMM and back propagation neural networks. Speech recognition system is evaluated on clean and …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 67–81 Read article
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Stochastic Modelling for Generating Monthly and Annual Rainfall at Rajasthan
Abstract: Rainfall is a phenomenon, which directly or indirectly affects all the sectors like agriculture, insurance, industry and other allied fields. It is well established that the rainfall is changing on both the global and the regional scales due to global warming. So the prediction of actual amount of rainfall is very complex till now. But now a day’s stochastic rainfall models are widely used in hydrologic analysis for rainfall forecasting. …
Published in Journal of Water Resource Engineering and Management · Vol. 4, Issue 3, 2017 · pp. 28–39 Read article
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Optimization of Mucuna solannie Mud Rheological Parameters
Abstract: The need to optimize rheological parameters by the use of appropriate techniques is the best consideration in drilling mud rheology studies. Various methods are used considering experience on the side of the user, available methods, and flow in pipe or annulus and depending on whether study is done in the field or for research purposes. Mucuna solannie is a legume, and the seed is a viscosifier used in foods in …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 1, 2017 · pp. 15–26 Read article
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Nonlinear Semiconductor Device Modeling using Neural Networks
Abstract: This paper describes the nonlinear semiconductor (transistor) of small and large signal modeling using a single neural network. Multilayer perceptron (MLP) with back-propagation (BP) learning is adopted in this work to model the drain current (ID) and the transconductance (gm) of the transistor. MLP modeling performance in terms of mean square error (MSE) and complexity of the network are illustrated briefly. Artificial neural network (ANN) model outcome for nonlinear function …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 3, 2014 · pp. 1–6 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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Pharmacoepigenomics of Replication Timing: How Anti- Cancer Drugs Reshape Chromatin Domains and Mutational Landscapes.
Abstract: DNA replication timing serves as a fundamental epigenetic feature that organizes genome function during the cell cycle (3), while anti-cancer drugs profoundly alter this process to disrupt tumor growth(4). These agents target chromatin architecture, shifting replication domains and reshaping mutational patterns critical for cancer evolution (1,5). DNA replication timing (RT) domains serve as dynamic epigenetic organizers, partitioning the genome into early- and late-replicating regions that correlate with chromatin states, gene …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 1, 2026 Read article
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Automatic Language Identification using Basic Signal Class
Abstract: Automatic language identification (ASLID) is a problem of identifying an unknown language from spoken utterance by a computer. A segmental approach to ASLID based on the assumption that the acoustic structure of languages can be estimated by segmenting speech into three basic classes of speech signals. This paper presents a procedure of ASLID with the details of methodology and the results without recognizing the words, but the lengths segments of …
Published in Trends in Electrical Engineering · Vol. 9, Issue 2, 2019 · pp. 12–19 Read article
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Analyzing the Role of Fiber Composition in Drying Behavior: A Comparative and Predictive Approach
Abstract: This research presents a comprehensive analysis of the drying behavior and thermal response of three distinct fabric types: 100% Cotton, 100% Polyester, and a Polyester blend (65/35), under meticulously controlled environmental conditions. The Polyester blend (65/35) consists of 65% Polyester and 35% Cotton, combining characteristics of both fibers. The investigation focuses on understanding how fiber composition impacts drying time, moisture retention, and thermal characteristics. Experimental trials were conducted using standardized …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 1–11 Read article
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The Effect of Welding Parameters and Tool Geometry on Mechanical Properties of RZ5-10 wt% TiC FSW Joint
Abstract: Friction Stir Welding (FSW) of metal matrix composite (MMC) provides the grain refinement and reinforcement redistribution of the composite used for wide application in aerospace and structural. This wide application needs development of best-suited joining process for MMC which is complicated to unite by the traditional welding process. The paper observed the consequence of the welding parameters and tools’ geometry on the mechanical properties of the friction stir butt welded …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 81–94 Read article
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Prediction of Traffic using Economic Attributes
Abstract: AbstractIncrease in traffic flow in a region reflects the development of transport infrastructure. Transport infrastructure development arises due to new investment in the region as it is a significant factor for assessing the social and economic viability of any highway project. Impact of economics on traffic is difficult to analyze traffic flow projection. To comprehend the objective, economic attributes such as investment and employment generated in the region are considered …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 32–36 Read article
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Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 · pp. 12–19 Read article
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Machine Learning-Based Channel Estimation in 5G, Beyond-5G, and 6G Networks: Recent Advances and Future Directions
Abstract: Accurate channel estimation is one of the most fundamental challenges in modern wireless communication systems. In fifth- generation (5G) New Radio (NR) and emerging sixth-generation (6G) networks, precise knowledge of the wireless channel is essential for achieving reliable data transmission, high spectral efficiency, and low Bit Error Rate (BER). Conventional estimation techniques such as Least Squares (LS) and Minimum Mean Square Error (MMSE) rely on mathematical channel models and predefined …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Experimental and Polynomial Regression Modelling of Tensile Characteristics of Hybrid Jute/Hemp Fiber Composites
Abstract: The present study aims to develop hybrid jute-hemp fiber/epoxy composites by the hand lay-up process with 60% of fiber reinforcement and 40 % of matrix ratio. To measure the change of tensile properties, prepared hybrid composites were tested for normal tensile strength and edge notch tensile (ENT) test as per the ASTM standards. Findings show that, developed composites with reported tensile strength followed by comparing it with fracture toughness. Experimentally, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 47–58 Read article