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27 articles for “Predictive Exponential”
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Predictive Model to Monitor the Exponential Transport of Spirochaeta Influenced by oxygen deficit And dispersion on natural pond
Abstract: Predictive model were considered to monitor the deposition of Spirochaeta in natural pond, the study considered the system to monitor the accumulation or exponential growth rate influenced by predominant parameters in the study environment, the effect from oxygen deficit observed characteristic of Dissolved Oxygen Levels. This includes Dissolved oxygen concentrations that are constantly influenced by diffusion and aeration, including photosynthesis, respiration and decomposition. This also includes water equilibrates toward hundred …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 1, 2021 · pp. 22–33 Read article
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Real-Time Cab Fare and ETA Prediction Using API Integration
Abstract: The exponential proliferation of ride-hailing platforms has necessitated the formulation of sophisticated and highly responsive predictive models for cab fare estimation and estimated time of arrival (ETA) computation. This work elucidates a robust framework leveraging real-time application programming interface (API) integration from Uber and Ola within a Flutter-based ecosystem to enhance predictive analytics. By assimilating real-time geospatial data, dynamic pricing algorithms, and latency-optimized API responses, this study investigates the empirical …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 08–15 Read article
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Modeling Reaction Rate of Dispersion Coefficient and Oxygen Deficit on Nitrobacteria Transport in Onu-Imo River
Abstract: The migration rate of nitrobacteria in the Onu-Imo River was monitored based on some variables that determine the predictive model for such pollution transport. These parameters were factors applied in developing the derived model for the study. The variables were integrated into the system to monitor their various rates of impact on the transport process in the study environment. This was monitored by applying a one-dimensional flow transport system at …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 1, 2021 · pp. 28–41 Read article
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Selection of Working Fluid for Organic Rankine Cycle by Energy and Exergy, For Low Temperature Low Enthalpy Dholera Geothermal Reservoir
Abstract: In today’s scenario of increasing energy demand, it is high time to give emphasis on renewable energy sources. The conventional energy sources that humanity is depending upon today are not only depleting, but also cause significant environmental impact. The burning of coal and fossil fuels causes serious air pollution and several major cities are already under deep threat due to the increasing amount of pollution. Future predictions show an exponential …
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 2, 2016 · pp. 1–10 Read article
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Association Rule Mining for Predicting Heart Disease: Challenges and Opportunities
Abstract: The exponential growth of digital healthcare data has spurred innovative applications of data mining techniques in medical research and practice. Among these, association rule mining stands out for its ability to uncover meaningful correlations within diverse datasets, such as electronic health records, imaging data, and genetic information. This paper reviews the application of association rule mining in predicting heart diseases, emphasizing its potential to enhance early detection, risk stratification, and …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 3, 2024 · pp. 29–34 Read article
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Fractional Riemannian Fuzzy C-Means with Time-Series Regularization for Economic Manifold Forecasting
Abstract: A fractional Riemannian fuzzy c-means framework is proposed for uncertain economic forecasting on non-Euclidean data domains. Observations are represented on a Riemannian manifold, cluster centres are intrinsic prototypes, and a latent fuzzy regime signal is regularised by both autoregressive and fractional-memory penalties. The resulting objective couples geometric clustering with time-series consistency, thereby discouraging partitions that are locally plausible but temporally incoherent. Closed-form membership updates, exponential-map centre updates, normal equations for …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 49–55 Read article
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The Next Era of Solid-State Innovation: Beyond Silicon
Abstract: The semiconductor industry is getting close to the physical and economic boundaries of silicon-based technology. A new era of solid-state innovation is beginning. Beyond Silicon: The Next Era of Solid-State Innovation looks at the materials, device layouts, and manufacturing methods that are about to change the way electronics and energy work. The article talks about improvements in wide- and ultra-wide-bandgap semiconductors, two- dimensional materials, and quantum and neuromorphic systems that …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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Future of Electric Vehicles (A Review)
Abstract: This paper presents a review on the possible advancements & future of electric vehicles. In today's world, most of the vehicles as of now are running on fossil fuels. Fossil fuels are the main driver of global warming and unsustainable. Fossil fuels are non-renewable and contribute to climate change. In addition to this, fossil fuels also pose a threat to the planet by producing harmful toxic gases upon burning into …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 23–30 Read article
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Performance Study of Parabolically versus Exponentially Tapered Multimode Interference Coupler
Abstract: ABSTRACT This paper shows mainly the performance study on tapered section of Multimode Interference (MMI) coupler having either parabolic or exponential taper section. The comparative study of the 1 × 2 MMI coupler with proposed structure, such as the normalized width variation, and variation of MMI length are investigated by the 2D finite difference beam propagation method (BPM). We have found that exponential tapered MMI coupler has advantageous compared to …
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 2, 2012 · pp. 8–17 Read article
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Very Short-Term Load Forecasting Using Gaussian Process Regression
Abstract: Very Short-Term Load Forecasting (VSTLF) is critical for real-time grid stability, frequency control, and economic dispatch. This study proposes a Gaussian Process Regression (GPR)-based framework for one-hour-ahead load forecasting using hourly data from January 2020 to April 2024 for Delhi, India. The model incorporates meteorological data such as temperature, humidity, and dew point with lagged load values. The research takes into account time-related dependencies and seasonal changes in order to …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 91–104 Read article
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Fracture Analysis of Functionally Graded Material (FGM) Plates Using Extended Finite Element Method: A Review.
Abstract: Functionally Graded Materials (FGMs), have drawn a lot of interest in various engineering applications due to their superior mechanical properties and ability to withstand extreme conditions. Fracture analysis in FGMs focuses on understanding how cracks initiate and propagate within these complex materials. The stress distribution becomes irregular due to spatial property variations which produces different crack paths than what occurs in homogeneous materials. The examination of FGM plates under fracture …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 9–15 Read article
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Monitoring the Variations Influence of Bacterial Transport Coefficient on Rhodopseudomonas Depositions in Natural Pond
Abstract: This paper monitored the transport reflecting Rhodopseudomonas concentration in natural pond, the study express the rate of predominant influence from bacterial transport coefficient in the migration and deposition of Rhodopseudomonas in the study environment, the rate of bacterial transport coefficient in the natural pond shows that there is the tendency of partial immobile velocity in the pond, these factors reflected on the transport system of Rhodopseudomonas in the natural pond. …
Published in Recent Trends in Fluid Mechanics · Vol. 7, Issue 3, 2020 · pp. 24–39 Read article
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Using Elliot Wave Theory and Fibonacci Retracement and in Algorithmic Trading
Abstract: The analysis technique used in predicting stock prices consists of Fundamental analysis and Technical analysis. These analyses are complex in nature and usually unreliable. The algorithmic trading systems offered today consists of primitive technical analysis techniques such as, simple moving averages, exponential moving average, moving averages convergence and diversions and volume weighted average price. The primitive nature of this techniques makes them very unreliable and has a low success rate. …
Published in Trends in Machine design · Vol. 7, Issue 3, 2020 · pp. 22–29 Read article
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Bio-Inspired FGPCs for Biomedical and Structural Applications
Abstract: Bio-inspired functionally graded polymer composites (FGPCs) represent a new class of smart materials that use gradient material distributions to enhance mechanical and biological properties, mimicking natural systems like bones, shells, and plant stems. FGPCs exhibit smooth gradient distributions across interfaces, which improves biocompatibility and reduces the risk of failure under complex loading and environmental conditions. In this study, bio-inspired FGPCs were designed, fabricated, and validated using a combined experimental and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–481 Read article
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3D Printing of Polymer-Based Functionally Graded Materials: Recent Developments and Challenges
Abstract: Additive manufacturing (AM), specifically 3D printing, has become a useful technique for fabricating functionally graded materials (FGMs) because it can facilitate the spatial distribution of materials. Polymer FGMs (P-FGMs) have gained a great deal of interest due to their lightweight, customizable, multifunctional properties. In comparison to conventional fabrication, 3D printing allows better control of composition and microstructure, which results in materials with controlled mechanical, thermal, and biological properties. This review …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 338–347 Read article
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Remote Monitoring and Control of the Elevator Simulator Module using Internet of Things
Abstract: The concept Internet of Things is developing in exponential manner. With the new technologies available and hardware compatibility, IoT solutions promise extraordinary potential. PLC is having several advantages such as simple structure, high reliability and ease of maintenance; hence it has been widely used for elevator applications. The objective of implementing IoT system to elevator simulator module is to improve predictive maintenance, remote diagnostics and troubleshooting. This work aims to …
Published in Current Trends in Signal Processing · Vol. 10, Issue 3, 2020 · pp. 8–15 Read article
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A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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Exploring the Efficiency of Leading and Lagging Indicators in Algorithmic Trading
Abstract: This paper details a comparison of the overall performance of leading and lagging technical indicators used in algorithmic trading over an extended period. While much of the prior research focuses on index price forecasting and some on statistical arbitrage derived from these predictive techniques, there is a scarcity of studies that assess and evaluate trading strategies. The strategies considered for the study were tested on historical data of the 50 …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 2, 2024 · pp. 8–18 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Revolutionizing Low Carbon Concrete: Innovations at the Nexus of Computational Science, Data Analytics, and Sustainable Technologies
Abstract: Concrete production accounts for 7% of global CO2 emissions necessitating low carbon innovations to curb exponential demand threatening climate commitments. This research reviews sustainable construction literature integrating computational simulations, big data infrastructure monitoring and alternative process redesign. Analysis reveals 30-50% reductions achievable through combined use of industrial ecologies, smarter sensing coordinated with ML optimization and novel binders like alkali-activated geopolymers. Rigorous LCA quantification verifies environmental superiority over conventional formulations. Case …
Published in Journal of Construction Engineering, Technology & Management · Vol. 13, Issue 3, 2023 · pp. 16–23 Read article