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154 articles for “Accuracy estimation”
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Design and Implementation of a Polymer-Integrated IoT-Based Smart Intravenous Fluid Monitoring System for Patient Safety
Abstract: The intelligent healthcare systems rely more and more on the advanced materials and Internet of Things (IoT) technologies to improve patient safety, patient-centeredness, timeliness of care, clinical efficiency. This paper presents a polymer-enhanced IoT enabled automatic IV Fluid Level monitoring and notification system. The novel system is based on the use of polymer-encapsulated load-cell sensors and polymer-packaged electronic modules, which allow biocompatibility, long-term stability and easy sterilisation in medical environments. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 730–742 Read article
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Reliability of Preliminary Cost Estimates of Educational Building Projects in a Developing Economy
Abstract: This study focused on the reliability of preliminary cost estimates of educational building projects in Nigeria with a view to providing more reliable cost estimates and reducing the number of abandoned educational building projects caused by faulty preliminary estimates. Using a case study approach, a total of 33 completed educational building projects were assessed and 31 construction professionals (Quantity Surveyors and Architects) formed the secondary population of the study. Data …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 3, 2016 · pp. 1–10 Read article
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Variation of Ground Acceleration with Increase in Lateral Distance
Abstract: Ground acceleration induced by dynamic loading decreases with increasing lateral distance from the source because of wave attenuation and energy dissipation through the ground. Accurate estimation of ground acceleration at different distances is essential for evaluating the safety and performance of nearby structures, particularly in blasting, seismic, and heavy construction activities. This study presents a simplified linear attenuation model for estimating ground acceleration at greater lateral distances using limited measured …
Published in Journal of Geotechnical Engineering · Vol. 13, Issue 2, 2026 · pp. 21–27 Read article
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Image-Based Crack Morphology Characterisation for Electrical Failure Analysis in Conductive Polymer Composites
Abstract: Electrical performance in conductive polymer composites is strongly governed by crack-network evolution, yet failure analysis typically relies on qualitative image inspection or electrical anomaly detection in isolation. This work proposes an end-to-end framework that converts optical/SEM crack imagery into a standardised crack morphology signature and quantitatively links it to electrical degradation indicators. A two-stage learning strategy is adopted: crack-representation pretraining using the public Concrete Crack Images for Classification dataset, followed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1375-1386 Read article
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SYMMETRY AND ASYMMETRY MODEL FOR THERMAL CONDUCTIVITY IN POROUS MEDIA
Abstract: This paper focuses on determining thermal conductivity in porous media using symmetry and asymmetry models. Since porous media are not uniform and homogeneous in most of the cases, anisotropy must be taken into account, what derives in the application of an asymmetry model as thermal gradients are not equal in all directions. The paper demonstrates that, under certain conditions, isotropic conditions, therefore, symmetry model can be applied to non-homogeneous or …
Published in Journal of Geotechnical Engineering · Vol. 7, Issue 2, 2020 · pp. 38–51 Read article
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Estimation of Life Cycle Cost of RC Infrastructure Using Different Analysis Methods
Abstract: Accuracy of service life prediction largely influence life cycle cost of infrastructure. Recent research come up with the conclusion that ingression of chloride to cover concrete is dependent on the water penetration front which dramatically change the service life. Therefore, in this study chloride ion profiles and behavior of penetrating water for slag concrete with w/c ratio as 40%, 55% and 70%, respectively, cast in laboratory, were examined. Furthermore, life …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 15–21 Read article
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Effect of Slope on Estimating Tree Biomass using Satellite Data in Belasitsa Mountain Forest, Bulgaria
Abstract: 800x600 Remote sensing of above ground tree biomass (AGTB) in rugged and mountainous forest sites incurs uncertainties in accuracy due to the influences of various bio-physical and topographic factors. Particularly slope is an important factor affecting the accuracy of remote sensing AGTB. This study investigates how slope affects the estimation of above ground tree biomass using vegetation indices (VIs) calculated from an ASTER image in the Belasitsa Mountain forest in …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 3, 2014 · pp. 17–30 Read article
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Advancements in Method Development and Validation for Levocetirizine: A Comprehensive Review
Abstract: This review article delves into the intricate realm of concurrent estimation of multiple compounds, with a specific emphasis on Levocetirizine and its related substances. It looks into how to improve analytical process specificity by using reverse phase high-performance liquid chromatography (RP-HPLC) in conjunction with UV detection. The study meticulously explores the intricacies of method development and validation, offering invaluable insights into the realms of precision and accuracy within pharmaceutical analysis. …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 11, Issue 1, 2024 · pp. 15–27 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
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Land Surface Temperature Estimation using Landsat ETM+ Data
Abstract: Land Surface Temperature (LST) can be estimated from remotely sensed satellite data. LST is a key parameter in the physics of land surface processes because it is involved in the energy balance as well as in the evapo-transpiration and desertification processes. The knowledge of surface temperature is important to a range of issues and themes in earth sciences central to urban climatology, global environmental change, and human-environment interactions. In this …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 1, 2014 · pp. 8–14 Read article
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Test Effort Estimation Based Upon Neural Fuzzy Model
Abstract: AbstractEstimating test development effort is an important task in the management of large software projects. The task is challenging and it has been receiving the attentions of researchers ever since software was developed for commercial purpose. A number of estimation models exist for effort prediction. However, there is a need for neural model to obtain more accurate estimations. The primary purpose of this study is to propose a precise method …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 76–85 Read article
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Particle Swarm Optimization Framework for Accurate Battery State-of-Charge and Remaining Useful Life Estimation
Abstract: Accurate estimation of the State of Charge (SOC) and State of Health (SOH) of a battery is key to safe and efficient management of batteries in electric vehicles and energy-storage systems. However, it is challenging due to high nonlinearity, varying operating conditions, measurement noise, and limited access to comprehensive electrochemical parameters. Traditional data-driven models often generalize poorly and require heavy tuning, which can produce unstable predictions. To address these problems, …
Published in Journal of Automobile Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 53–64 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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Improving Software Cost Estimation Process through Classifcation Data Mining Algorithms using WEKA Tool
Abstract: Today, the Software Cost Estimation (SCE) is one of the hot research areas among the researchers. Cost estimation is a method of the achievable cost of a product, thing, program, or an undertaking, enrolled in light of available information. It attempts to data predict good results to combined both of the field software engineering and data mining in this work. It generates the accurate cost of the projects with the …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 24–33 Read article
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Q-Metrics for Early Detection of Cervical Cancer
Abstract: The most prevalent form of cancer in women worldwide is uterine cervical cancer. Through screening programs aimed at detecting precancerous lesions most cases of cervical cancer can be prevented. In this article, Q-metrics has been proposed for carrying out automated image segmentation of uterine cervical cancer. The validation of detection of cervical lesions is an important issue in medical image processing because it has a specific impact on surgical planning. …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 1, 2014 · pp. 26–30 Read article
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Assessment of Different Methods for Soil Moisture Estimation: A Review
Abstract: Importance of precise soil moisture information is well understood in various fields like agriculture, hydrology, meteorology, environmental studies etc. Soil moisture is very dynamic, both temporally and spatially, therefore its continuous monitoring is necessary. There are various methods available to retrieve soil moisture status. All these methods have their own advantages and disadvantages and should be used with caution depending upon the requirements and demand of the project. In this …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 1, 2018 · pp. 57–73 Read article
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Reduction of Electric Vehicle Driving Range Due to Battery Capacity Fading
Abstract: This paper is mainly focused to the estimation of the reduction of the driving range in electric vehicles due to battery capacity fading as a consequence of the aging effects with cycling. A scale model reproducing the real driving conditions in electric vehicles has been used to develop a simulation process to evaluate the incidence of the cycling on the battery capacity fading. The model on which the simulation has …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 1–16 Read article
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Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 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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Estimation of Discharge Over the Compound Sharp-Crested Weir using Artificial Neural Networks and Genetic Programming
Abstract: Truncated sharp crested weirs are used to measure flow rate and to control water surface upstream, in irrigation canals and laboratory flumes. The main advantages of such weirs are, ease of construction and capability of measuring a wide range of flows with sufficient accuracy. Artificial neural networks (ANNs) and genetic programming (GP) have recently been used for the estimation of hydraulic data. In this study, they were used as alternative …
Published in Journal of Water Resource Engineering and Management · Vol. 2, Issue 3, 2015 · pp. 28–37 Read article