Search
1916 articles for “Modeler” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Mode Choice Analysis: Fundamental and Models
Abstract: AbstractTravel behavior plays an important role in transportation planning. Mode choice has direct impact on the policy making decision. It is behavioral and complex in nature. The objective of this study is to carryout detailed review on various modeling methods of mode choice analysis. The factors that affect the traveler’s mode choice decision have been discussed. The methods of data collection have been briefly discussed. Further the paper highlights on …
Published in Trends in Transport Engineering and Applications · Vol. 5, Issue 1, 2018 · pp. 7–13 Read article
-
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
-
Research Frame work of Missing Data Analysis using Mathematical Models
Abstract: AbstractThis article deals with providing an overall framework of missing data analysis using mathematical models. Mathematical models serves at large for missing data imputation. Several algorithms in machine learning techniques like Mean, Median, Standard Deviation, Regression and Naïve Bayesian classifier use Mathematical models for analysis. The performance of above mathematical models has been compared by using correlation statistics analysis gives the imputed values are positively related or negatively related or …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 3, 2020 · pp. 36–44 Read article
-
Redefining the Network Security with Zero Trust Model
Abstract: The fundamental problem in information security today is trust. Changing our trust model will change our networks and make them easier to build, maintain, and secure while making them more efficient, compliant, and cost-effective. According to the rule of law, all accused are deemed innocent until proven guilty, but Zero Trust security is not the case. The increased uncertainty created by such dynamicity adds to the access control process, highlighting …
Published in Journal of Open Source Developments · Vol. 8, Issue 3, 2021 · pp. 22–28 Read article
-
Enhancing Healthcare Record Modeling Through Graph Convolutional Networks: Overcoming Challenges and Advancing Data Management and Analysis
Abstract: Modeling healthcare records data as a graph database presents various challenges due to the complex nature of healthcare information and its interconnectedness. In this research endeavor, our primary objective is to pinpoint the major obstacles within this field and present potential remedies to tackle them effectively. By leveraging machine learning techniques, we aim to enhance the efficiency and accuracy of healthcare record modeling, facilitating better data management and analysis. One …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 39–50 Read article
-
Applications of Mathematical Modelling for Sustainable Development
Abstract: Sustainable development is an urgent global challenge that requires innovative solutions to address complex socio-environmental challenges while ensuring the well-being of current and future generations. Mathematical modelling has evolved into an indispensable tool, providing valuable insights for comprehending, evaluating, and enhancing systems across diverse domains. By harnessing the power of mathematical modelling, we can support the transformative changes needed to build a sustainable future. In this paper, I examine the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 1–5 Read article
-
Abandoned Object Detection via Temporal Consistency Modeling for Visual Surveillance
Abstract: This paper introduces a successful approach for distinguishing abandoned luggage in surveillance recordings. We join short- and long-term foundation models to concentrate on closer view of objects, where every pixel in an information picture is named a 2 bit code. In this manner, we acquaint a structure with recognized static frontal areas in light of the worldly move of code designs, and to figure out if the applicant districts contain …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 1–6 Read article
-
Numerical Model for Water Hammer in Homogeneous Equilibrium Two Phase Fluid
Abstract: Generally, water hammer can occur in any thermal-hydraulic systems. Rapid closing or opening of a valve causes pressure transients due to the sudden transformation of kinetic energy into the potential energy. The resulting high pressure surge upstream of the valve leads to the temporary increase in pressure. If the increased pressure surpasses the safety margin for the pipe, it can lead to failure of the pipeline. A mathematical model is …
Published in Journal of Nuclear Engineering & Technology · Vol. 4, Issue 3, 2014 · pp. 29–43 Read article
-
Modeling Partially Replacement of Admixtures Influenced by Heterogeneity of Aggregate and Porosities on Variations of Compressive Strength
Abstract: This paper study the heterogeneity of compressive strength of partially replacing cement with different admixtures, the study monitored the heterogeneous application of aggregates in the development of mixed designed concrete model. The heterogeneous aggregates applied developed high percentage of heterogeneous porosities that affects the growth rates of compressive strength on the concrete model, the study examined these process to determined the extend heterogeneity affects other concrete properties on the designed …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 2, 2021 · pp. 64–98 Read article
-
Harnessing the Growth Potential of Cloud Computing in Agriculture
Abstract: Unlocking the Green Revolution: A Comprehensive Exploration of Cloud Computing Integration in India's Agricultural Landscape. The integration of cloud computing technology in the agricultural sectors of India is poised to play a pivotal role in propelling the nation's holistic development. This paper delves into the dynamic realm of cloud computing, serving as a catalyst for innovation and efficiency in agriculture. By eliminating the need for maintaining expensive computing infrastructure, cloud …
Published in International Journal of Cheminformatics · Vol. 1, Issue 1, 2023 · pp. 32–37 Read article
-
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
-
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
-
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
-
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
-
Physical Modeling of Mass Transport Processes in Extraterrestrial Landscapes
Abstract: Currently the progress in physical models based on mass transport in both the Earth's surface and extraterresterial landscape has been growing. It is a frame work involving different natural and made made processes including aeline process, fluid flow process, magmal movement, Geomagnetic stroms, and clould flow modesl etc. These process encorporates Physical models and appraches which help to simulate, compute and experiment in order to reduce complexity. However, their operating …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 47–54 Read article
-
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
-
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
-
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
-
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
-
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