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615 articles for “FEA”
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Review of Feature Selection Methods and Semi Supervised Feature Selection Algorithms for Classification
Abstract: Current evolution in technology has resulted in tremendous growth of data with respect to dimensionality and sample size. Knowledge discovery from these high dimensional data are becoming cumbersome. Though powerful machine learning algorithms are prevalent, noisy data, imperfect sensing and collection of data leads to poor and defective knowledge discovery. Noise and redundant features cannot be circumvented due to which data collection process is biased. Dimensionality reduction techniques namely feature …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 39–51 Read article
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Simultaneous Analysis of Radar Look Angel and Placement of Features to Identification of Terrain Feature (Mianrahan Basin in West of Iran
Abstract: In this study, the effect of look angle and placement of feature than radar sensor to detection of the effects of geomorphological features was conducted simultaneously. In this study, the C-band of satellite images Sentinel -1 was used. The images were captured in two different look angles and two different look directions. Four features such as valley, blade, alluvial fans and debris was extracted by visual interpretation of the images, …
Published in International Journal of Landscape Planning and Architecture · Vol. 3, Issue 1, 2017 · pp. 1–10 Read article
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Feature Extraction: Comparing Feature Extractors
Abstract: Machine learning is getting fuzz nowadays a lot. In order to train the computer to recognize the set of images is the key factor. For this neural networks and classifiers are used to do the identification and recognition. Now do the matching feature points or the interest points are required which makes it to our area of research i.e. feature extractors. In our paper we compared various feature extractors Fast, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 4, Issue 1, 2018 · pp. 12–17 Read article
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Comparative Biosorption Analysis of Chicken Feathers and Absorbent Pads on Crude Oil Contaminated Soil
Abstract: The study was done for the biosorption of hydrocarbon contaminated soil using chicken feather waste (CFW) and adsorbent pad adsorbents (AP). The adsorbents materials were sourced locally and prepared accordingly and made ready for the adsorption process. To analyze the adsorption of crude oil from contaminated soil, the following time intervals were used: 0 weeks, 4 weeks, 8 weeks, 12 weeks, 15 weeks, and 20 weeks. Additionally, varying amounts of …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 10, Issue 2, 2024 · pp. 13–33 Read article
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Identifying Number Plates using Feature Extraction
Abstract: A number plate can be recognized completely only when the number plate on the vehicle is neither broken nor deliberately mutilated. This pose a hinderance in recognizing these types of plates. In order to overcome this problem, one has to either compare the characters recognized from the broken plate or directly compare the features of the given plate to the database. This helps in reducing time and space complexity. Various …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 20–26 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Finite Element Analysis (FEA) for Nonlinear Behavior in Advanced Materials
Abstract: (FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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Investigations into the Features and Attributes of Low-Density Polyethylene/Thermoplastic Sago Starch Composites
Abstract: Low-density polyethylene, the material used to make most plastic shopping bags, has a considerable negative impact on the environment. It is enough intriguing for a substance to decay, develop for whatever reason (hydrolysis, Pseudomonas aeruginosa, etc.), and be exposed to the elements. Sodium trimetaphosphate was used in this experiment to treat sago starch. Using additives (glycerol/urea, 1% benzophenone, and epolene wax) in the same amount of starch, sago starch was …
Published in International Journal of Composite and Constituent Materials · Vol. 10, Issue 1, 2024 · pp. 10–23 Read article
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A review on Identification of Block Feature Through Step
Abstract: One of the major challenges in the implementation of CIM, which is anticipatedto meet the needs of the present manufacturing industry in terms of completeautomation of its operations, is the combination of CAD package and CAM system viaCAPP. To achieve complete automation, product data created throughout the designand modelling process and saved in the database of CAD packages (systems) shouldflow directly to CAPP and from CAPP to CAM for seamless …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 1, 2022 · pp. 15–20 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Comparative Study of Classification Methods Based on Feature Reduced Microarray Gene-Expression Data
Abstract: Abstract Cancer is a very complex and clinical heterogeneous disease. Now a days the research into the diagnosis and treatment of cancer have become an important issue for researchers. Cancer microarray data normally consist of samples having large number of gene expression as features. For better result in cancer classification it is very important to select relevant features. In this paper, five different types of cancer datasets are used such …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 1, Issue 2, 2015 · pp. 1–10 Read article
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Optimisation of Ratio of Center Distance of Adjacent Hole to Diameter of Pre-stressed Holes by FEA
Abstract: Residual compressive stress zone around a fastener hole is introduced by a process called pre-stressing. This is being done to reduce adverse effect of cyclic tensile stress and to restrict the fatigue crack growth due to material flaws or imperfect surfaces. The objective of this investigation is to optimize the inter-hole distance between adjacent cold expanded holes on a plate restricting the deformation of material between holes to the elastic …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 2, 2020 · pp. 40–48 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–27 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–5 Read article
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Statistical Integration of Radar and Optical Data for Geomorphological Feature Extraction
Abstract: Optical images of OLI sensor and radar images of the sentinel-1 were used for extraction of geomorphologic features in this study. Sentinel-1 images were acquired from two different view directions. Additionally, the three seconds SRTM elevation data was used to correct the geometric and radiometric effects of terrains. Four features of valleys, blades, fans and debris were extracted by visual interpretation. World Imagery images were used as geometric reference. Statistical …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 3, Issue 1, 2017 · pp. 1–10 Read article
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High Performance 64-Bit Vedic MAC with Logic BIST Features
Abstract: Multiply and Accumulate (MAC) is a very important operation in most of the DSP applications such as FIR/IIR filters, convolutions, and FFT computations. Therefore, every DSP processor will incorporate a hardware MAC for high-performance operations. However, most of the MAC architectures do not have self-testing features. It is very essential to embed self-testing features in the MAC design for accurate and reliable operation thus avoiding the need for expensive external …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 38–46 Read article
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Sound-based Bird Classification Using Perceptual Features and Machine Learning: A Gaussian Mixture Model
Abstract: Classification of birds based on their sound patterns and identification of bird species found in the chirping sounds of birds were experimented with using the feature extraction method. This work is beneficial in ornithology to study birds and their behavior based on their sounds. The proposed methods can automatically classify birds by different sound processing. The audio file of a bird’s sound recording is first cut into smaller samples, and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 46–52 Read article
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High frequency design approach and feasibility study of HBT based W-band (90.0GHz-100.0GHz) amplifier using 130nm SiGe based BiCMOS technology
Abstract: This paper present high frequency design approach and feasibility study of HBT (Hetero Junction Bipolar Transistor) based two stage cascode amplifiers at W-band (90.0GHz-100.0GHz). The proposed amplifier has design using 130nm SiGe based BiCMOS technology. This paper used low cost technology for designing of w-band amplifier and this is novelty of this paper. The schematic design and feasibility study has been carried out using Cadence software. The selection of active …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 2, 2021 · pp. 1–7 Read article
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Innovative Digital Clusters for EVs: Design, Features, and User Experience
Abstract: This paper examines the development of digital dashboards (clusters) in electric vehicles (EVs) aimed at providing drivers with clear, real-time, and essential information. As EV adoption continues to rise due to government incentives and growing environmental awareness, the demand for an intuitive, user-friendly, and efficient dashboard has become increasingly important. An EV’s digital cluster displays crucial data, such as speed, battery level, estimated driving range, and energy consumption. Additionally, it …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 15–22 Read article