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1903 articles for “mode” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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R-M and M-R Model for Interpreting Logic State of Memristor Aided NOR with Enhanced Noise Margin
Abstract: Memristive crossbar arrays are one of the fascinating subjects in the field of nanoelectronics and memory devices. The arrangement of arrays consists of grid-like structure with rows and columns of memristors which are resistive devices that can preserve their resistance state even after power is turned OFF. They have now emerged as a promising alternative to traditional memory technologies due to their high density, non-volatility and low power consumption. This …
Published in Recent Trends in Mathematics · Vol. 1, Issue 1, 2024 · pp. 35–41 Read article
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Utilizing AWS Advanced Services for Modernizing and Refactoring Legacy Systems to Achieve Cloud-Native Capabilities
Abstract: Updating and restructuring outdated systems is essential for organizations seeking to harness the scalability, adaptability, and robustness offered by cloud-native architectures. Legacy systems can obstruct innovation because of their rigid structure, expensive maintenance, and inability to scale effectively. Amazon Web Services (AWS) provides a comprehensive suite of advanced services that enable the efficient transformation of such systems into modern, cloud-native solutions. This paper explores strategies and best practices for utilizing …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 44–65 Read article
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Analysis of Gold Price Trend Using the Hidden Markov Model
Abstract: This study aims to analyze the behavior of gold prices in India through a two-state Hidden Markov Model (HMM). We first formulated crucial parameters, such as the Transition Probability Matrix (TPM), Initial Probability Vector (IPV), and Emission Probability Matrix (EPM). Subsequently, we constructed a hidden Markov probability distribution and evaluated Pearson’s coefficients to gauge the correlations separately for each state. The goodness of fit of the developed model was assessed …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 11, Issue 2, 2024 · pp. 7–16 Read article
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Modeling Dispersed Count Data: Evaluating the Conway–Maxwell–Poisson Regression with COVID-19 Mortality Data
Abstract: Count data are prevalent in diverse fields such as biology, healthcare, psychology, and marketing, characterized by non-negativity and inherent heteroskedasticity, often exhibiting overdispersion or underdispersion. Traditional Poisson regression, which assumes equal mean and variance, is inadequate for such dispersed data. To address this, various generalized linear models (GLMs) and their extensions, including negative binomial (NB) and Conway–Maxwell–Poisson (CMP) regressions, are utilized. This study evaluates the performance of CMP regression compared …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 3, 2024 · pp. 18–26 Read article
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Advancements in Humanoid Robot Locomotion: A Review of Control Strategies and Kinematic Models
Abstract: Humanoid robot locomotion has significantly improved over the past few decades, driven by improvements in control strategies and kinematic models. Researchers aim to develop robots that can walk, run, and navigate complex terrains with efficiency and stability. This review explores recent developments in humanoid locomotion, highlighting control strategies such as model predictive control, reinforcement learning, and central pattern generators. Additionally, it examines kinematic models, including inverted pendulum models and zero …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 24–30 Read article
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Bridging Polymer Science and the Circular Economy: Innovative Business Models for Sustainable Plastic Alternatives
Abstract: It involves the application of polymer science, circular economy principles, and sustainable business models to change the industrial environment in an environmentally friendly manner, which the study focuses on. It will also carry out a rigorous investigation into the potential of bio-based, biodegradable, and recyclable materials and how to integrate them into business models that can be sustainable. The theoretical basis of the study includes the theory of the circular …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 202–217 Read article
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Understanding Sentiment Trends Through Zero-Shot and Few-Shot Learning Models
Abstract: The requirement for large, manually labeled datasets is one of the main barriers to applying sentiment analysis algorithms in specialized or rapidly evolving disciplines in the present natural language processing (NLP) landscape. This work investigates a paradigm shift from traditional fully supervised learning to data-efficient methods, specifically zero-shot learning (ZSL) and few-shot learning (FSL). This study uses the advanced capabilities of instruction-tuned large language models (LLMs), like GPT-4, to assess …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 01–08 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Scaling Cost Model for the Economics of Concentrated Solar Power Plants
Abstract: Concentrated Solar Power (CSP) is a renewable energy technology that can provide clean and reliable energy to regions with adequate environmental resources. Especially for the regions around the Mediterranean Sea, where solar radiation is significant, this technology seems to have great potential to meet the medium and long-term targets for emission-free energy production, once cost-related issues have been resolved. Factors such as the capacity of the plant, the efficiency of …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 2, Issue 1-3, 2012 · pp. 74–87 Read article
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Analogous Electrical Modelling of Squeeze Film Damping in MEMS Accelerometers
Abstract: Most of the MEMS (microelectromechanical systems) structures employ parallel plates or beams. A very thin film of air or some other gas in between their suspended structure and fixed substrate is trapped in between these plates. This results in squeeze film damping. Though, FEM (Finite element method) analysis is the most widely used method for studying the effects of the phenomenon, it becomes quite cumbersome and time consuming while analyzing …
Published in Journal of Mechatronics and Automation · Vol. 2, Issue 1, 2015 · pp. 1–9 Read article
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MATLAB/Simulink Based Modelling of Solar Photovoltaic Cell
Abstract: AbstractThis paper focuses on a Matlab/SIMULINK model of a 36 cell/72 cell solar photovoltaic cell. This comprehensive Solar Photovoltaic model has been built on mathematical equations and improved through an analogical circuit connecting a photocurrent source and a diode, connecting through a series resistor and a shunt resistor. The developed model assists in the predicting and analyzing the behaviour and properties of PV cell/PV module under different physical and environmental …
Published in Journal of Microcontroller Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 21–28 Read article
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Capacitance–Resistance Model Application to Reservoirs Primarily Under Aquifer Influx
Abstract: Previous Capacitance – Resistance Models that have been developed to characterise black oil reservoirs undergoing waterflooding do not apply to waterflooding of reservoirs primarily under aquifer influxresulting in significant error. This paper has attempted to overcome this limitation by presenting the aquifer influx as a pseudo injector whose injection rate is represented by an existing aquifer model.The influencing parameters of the model have been modified to include an aquifer influx …
Published in Journal of Materials & Metallurgical Engineering · Vol. 10, Issue 1, 2020 · pp. 16–29 Read article
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Mathematical Modeling of the Flexural Strength, Impact Energy and Water Absorption of a Pineapple Fibre-HDPE Composite using RSM Technique
Abstract: AbstractA pineapple fibre reinforced HDPE composite was developed. Response surface methodology (RSM) experimental design was employed using the latest Design Expert 10.0 software and the sample composites were produced by compounding using two-roll mill and subsequent thermoformimg in a hot pressing machine. Mathematical models of the flexural strength, impact energy and water absorption were developed and statistically validated. The model for the flexural strength fitted best with quadratic model while …
Published in Journal of Polymer & Composites · Vol. 5, Issue 2, 2017 · pp. 42–49 Read article
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Floodplain Inundation Modeling and Mapping for Geray River: Nile Basin, Ethiopia
Abstract: Flood is among the most devastating natural hazards in the world claiming lives and properties more than any other natural phenomena. During high flow, the Geray River flooded the vicinity of the area and causes loss of cultivated land and life. The objective of this study describes the flood extent and depth in the Geray River for different flow conditions. This research involves the integration of HEC-HMS, HEC-RAS, and GIS …
Published in Journal of Water Resource Engineering and Management · Vol. 6, Issue 3, 2019 · pp. 25–45 Read article
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Comparison of Ultra Wide Band Indoor Multipath IEEE 802.15.3 Channel Model
Abstract: ABSTRACT A very large bandwidth of frequency (3.1–10.6 GHz) has been allocated to UWB systems. A single-band UWB signal propagates differently in the lower and upper bands of the spectrum due to the size of its bandwidth. The lower part of the signal can be obstructed more easily and the man-made interferences are not homogeneously distributed over the whole spectrum. The first experimental results obtained for a UWB channel show …
Published in Journal of Communication Engineering & Systems · Vol. 2, Issue 3, 2012 · pp. 20–25 Read article
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Evaluation of Effect of Seeds and Downloaders on the Performance of BitTorrent Network using Markov Chain Modeling
Abstract: AbstractIn this paper, we are using existing Markov chain model to study the effect of count of seeds and downloaders on transition rates, which is an important parameter in Markov chain modeling. As of now, many analytical modeling techniques are used to evaluate the performance of BitTorrent network and Markov chain model is found to be an effective, accurate and extendible one. Many researchers have studied BitTorrent networks to evaluate …
Published in Journal of Communication Engineering & Systems · Vol. 6, Issue 1, 2016 · pp. 30–37 Read article
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Application of Constraint Satisfaction framework to zero trust security Model
Abstract: The zero-trust era has dawned with the advent of security models which addresses the gap between established security models. As cyber-security risks are advancing with the various natures of attacks, the threat has to be minimized by application of robust security models based on mathematical foundations. This study attempts to rehash few challenges existing in popular trust computing models and tries to bring out the characteristic features of constraint satisfaction …
Published in Journal Of Network security · Vol. 10, Issue 3, 2022 · pp. 1–6 Read article
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Three-Dimensional Finite Element Modeling Study of Stress Distribution in Calcaneal Fracture
Abstract: The calcaneus is one of the biggest load-bearing tarsal bone in human body and therefore, many authors stress the importance of its biomechanical modeling and analysis in several aspects. We predicted possible fracture lines’ characteristics throughout the reconstruction of three-dimensional finite element modeling from CT slices and biomechanical analysis of stress state within talo-calcaneal complex, and its clinical validity was identified by comparing with radiographic/intraoperative findings. We reconstructed the 3-D …
Published in Research and Reviews : Journal of Surgery · Vol. 10, Issue 2, 2021 · pp. 11–34 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article