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154 articles for “Accuracy estimation”
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Landscape Classification of Sariska National Park (India) and its Environments using Geospatial Technology
Abstract: The relationship between land use/land cover (LULC) changes and land degradation over a period of 20 years (1989–2009) at Sariska National Park (India), and its environment was investigated using remotely sensed and ancillary data. The study analyzed the magnitude and direction of temporal LULC changes for two consecutive periods; 1989–2009. The temporal change patterns of LULC were analyzed through interpretation of LANDSAT imagery. Final land cover maps produced under four …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 7, Issue 1, 2018 · pp. 5–14 Read article
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Benchmarking Cost Overruns in Transportation Infrastructure Investments
Abstract: Highway projects have historically experienced significant cost overruns, with front end implications for the sustainability of transportation investments. However, the criteria for assessing cost overruns continues to elicit diverse opinions and has become a debatable issue in the literature. Some studies allude to detailed design stage estimates, while others tag conceptual stage estimates, as the ideal benchmark for quantifying the project cost deviations. A survey of the literature, principally from …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 29–37 Read article
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Improved Software Cost Estimation using General Search based Analogous Project Feature Weight Assignment
Abstract: Software cost estimation is the estimation of development effort and time required to develop any software project. Analogy based estimation is considered as one of the most popular techniques used in software cost estimation. Analogy based estimation is mostly appraised for its expensive computation cost , low prediction accuracy and large memory requirements despite many research works focusing on optimizing the weights of the project features being carried out in …
Published in Journal of Advances in Shell Programming · Vol. 6, Issue 1, 2019 · pp. 20–26 Read article
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Estimation of Semi-Blind Channel for Two-Way Relay by Using CRB: Pilot-based and Random Pilot-based
Abstract: The main purpose of semi-blind channel estimation scheme is for frequency-selective channel estimation, for multi-input and multi-output (MIMO) on relay networks, for using high bandwidth efficient use of spectrum. This scheme motivate to the low complexity of system to allow exchange information users to users by using an intermediate relay node. Because of superposition of signals at the relay node, section receiving signal at the user terminals is affected by …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 22–31 Read article
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Comprehensive Study of Least Squares Estimation in Fast Fading MIMO-OFDM Systems
Abstract: MIMO-OFDM technology is now the foundation for modern wireless communication systems, allowing dramatic improvements in spectral efficiency, power efficiency, and transmission rate. On the other hand, the least accurate channel estimation is still a critical task, especially when they are in fast-fading environments. This study gives a comprehensive survey of LSE-based approaches and their applications on different fast-fading channel models for MIMO-OFDM systems. Techniques like Pilot Assisted Channel Estimation (PACE), …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 13–21 Read article
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Fast-Charging Techniques for Electric Vehicle Batteries
Abstract: EVs (Electric Vehicles) are becoming the popular mode of green transport, boosted by their efficiency, lower emission and technological vibrancy. But slow battery charging still poses one of the primary stumbling blocks to EV deployment. Conventional charging methods that take hours necessitate inconvenience and range- anxiety. To tackle this, scientists and companies are in a race to develop fast-changing technologies that can charge batteries within minutes without compromising safety. These …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 1–8 Read article
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Factors Affecting Building Construction Tendering Costs: Studies of Saudi Arabia
Abstract: AbstractThis study is conducted to assess and rank factors affecting cost at the pre-tender stage for building construction projects in Saudi Arabia. 43 factors affecting opponent cost estimate were identified through literature review and discussion with some construction specialists. The factors were tabulated in a questionnaire form and a questionnaire survey including 32 consultants and 21 owners was performed. The study finds a strong agreement between owners and consultants in …
Published in Journal of Construction Engineering, Technology & Management · Vol. 8, Issue 1, 2018 · pp. 26–33 Read article
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Review on Impact of Factor Affecting Cost Estimation Corresponding with Stakeholder’s Prospective View
Abstract: For project planning and finance, it is essential to make very accurate cost estimates for construction projects early on in the project development process. Before purchasing a site and committing to build, construction clients need timely and accurate cost advice in order to make an informed decision about whether to proceed with the project or not. The accuracy of a cost estimate, however, could be impacted by numerous variables. The …
Published in Journal of Construction Engineering, Technology & Management · Vol. 12, Issue 3, 2022 · pp. 37–43 Read article
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Evaporation estimation using multilayer neural network – A case study for Chhattisgarh plains
Abstract: Evaporation being one of the most important components of the hydrological cycle, it is important to know its relationship with other climatic factors for developing strategies for effective water resource management especially for agricultural purposes. There are few direct and indirect methods in practice for the measurement or computation of evaporation losses. This study is conducted to demonstrate the ability of multilayer neural network (MLNN) with back propagation weight update …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 89–97 Read article
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Analytical Method Development and Validation of Simultaneous Estimation of Natural Active Constituents Andrographolide and Piperine by UV Method.
Abstract: A simple, accurate, precise, and robust UV-Visible spectrophotometric method was developed and validated for the simultaneous estimation of Andrographolide and Piperine in bulk and combined pharmaceutical dosage forms. Preformulation studies confirmed favorable physicochemical properties for both drugs, including acceptable solubility profiles, melting points, pH values, and partition coefficients. The method development involved determination of λmax values at 224 nm for Andrographolide and 288 nm for Piperine using ethanol as solvent. …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 3, 2025 · pp. 33–41 Read article
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Continuous Glucose Monitoring Device
Abstract: Managing diabetes effectively requires regular monitoring of blood glucose levels, which is traditionally done through invasive methods like finger-prick tests. This work introduces a non-invasive blood glucose monitoring system utilizing the MAX30100 pulse oximeter sensor and Internet of Things (IoT) technology. The system estimates glucose levels by analyzing infrared (IR) light absorption properties, eliminating the need for direct blood sampling. Key components include the ESP32 microcontroller, cloud-based data storage, and …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 3, 2025 · pp. 1–6 Read article
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Data-driven Approaches to Mineral Resource Management Using AI: A Brief Review
Abstract: The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations. AI encompasses a variety of technologies and techniques, such as machine learning, deep learning, and expert systems, that are now widely used in mineral exploration, resource estimation, and mine management. These AI-driven approaches have brought about a transformative shift, enhancing efficiency, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 25–29 Read article
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Fibre Orientation and Void Distribution Analysis in Polymer Composite Structures Using Image Processing
Abstract: Fibre orientation and void distribution are critical microstructural features that govern the mechanical performance and reliability of polymer composite materials. Accurate and simultaneous characterisation of these features remains challenging due to their complex spatial interactions and dependence on processing conditions. In this work, an integrated image-processing framework is proposed for the quantitative analysis of fiber orientation and void distribution in polymer composite structures. High-resolution composite microstructure images are processed through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 925–933 Read article
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Innovations in Mineral Science and Engineering for Sustainable Resource Development
Abstract: The growing global demand for mineral resources, coupled with increasing environmental and social concerns, has intensified the need for sustainable approaches in mineral science and engineering. Traditional mining and mineral processing practices, while essential for industrial development, are often associated with high energy consumption, resource depletion, and environmental degradation. In response, recent innovations in mineral science and engineering have focused on improving resource efficiency, minimizing environmental impact, and ensuring long-term …
Published in International Journal of Minerals · Vol. 3, Issue 1, 2026 · pp. 31–36 Read article
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Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
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Early Heart Disease Prediction Using Hybrid Machine Learning Techniques
Abstract: In the contemporary era, cardiovascular disease is one in all the most causes of death within the world. Estimating Heart problems i.e cardiopathy is a crucial challenge within the area of clinical data analysis. Large volumes of data produced by the healthcare sector have been proved to be useful for helping with decision-making and speculation, thanks to machine learning (ML).. Various studies help us to review and supply glimpse into …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 35–41 Read article
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Simulation of Differential Space Time Block Coding
Abstract: AbstractIn such a coherent system, the underlying assumption is that the channel does not change during one frame of data. Thus, it can also be interpreted as the frame length is chosen such that the path gain change during one frame is negligible. This is basically the quasi-static fading assumption that we have used so far. There is a bandwidth penalty due to the number of transmitted pilot symbols. Of …
Published in Journal of Communication Engineering & Systems · Vol. 6, Issue 1, 2016 · pp. 19–25 Read article
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Analysis of Cellular Positioning Techniques in UMTS Networks
Abstract: Estimation of the location of a Mobile Station accurately is a key requirement to effectively provide a wide range of Location Based Services over mobile networks. Applications requiring positioning in mobile networks gained importance in recent years. This gives rise to the various location based services (LBS). Hence developing cellular positioning techniques have been a key research problem, with numerous localization solutions been proposed. There are several methods present to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 1, Issue 1, 2014 · pp. 1–10 Read article
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Hybrid Feature Selection Approach for Stability Prediction for Intracerebral Hemorrhage Patients
Abstract: Intra Cerebral Hemorrhage (ICH) stability estimation is useful for enhancing diagnosis accuracy, selecting the best course of treatment, and clinically evaluating variations with healthy individuals. Due to their low predictive value, the clinical application of several ICH progression scoring systems is constrained. The dataset includes clinical parameters including age, Glasgow Coma Scale (GCS), and CT Angiography (CTA) spot that have been retrieved using geometric features from the segmented bleeding volume …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 9–17 Read article
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Erosion and Sediment Yield Modeling with USLE, Arc GIS and SWAT
Abstract: The economy of most of the people in India is mainly based on rain fed agriculture. Theagriculture yield primarily depends on the availability of good productive soil and sufficientquantity of availability of water. In the past, in many areas both were available but recently itis observed that due to various abnormal natural processes and excessive human interferencein the natural processes, the soil layer with nutrient from fertile land is getting …
Published in Journal of Remote Sensing & GIS · Vol. 11, Issue 1, 2020 · pp. 55–62 Read article