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405 articles for “back analysis”
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Avalanche Hazard Mapping along Manali-patsio Road Axis (Himachal Pradesh, India) Using Advanced Geo-Informatics Techniques
Abstract: Avalanche occurrence is quite a hazardous and unpredictable natural phenomenon. A large number of factors that are associated with its occurrence make it quite difficult to assess hazard in hilly areas. There are two main groups of variables that define the avalanche hazard – meteorological conditions and terrain characteristics. Due to the stable nature along the time, terrain parameters are easier to map. The purpose of this work is to …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 1, 2012 Read article
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Iris Recognition System Using Principal Component Analysis based Back-Propagation Learning Neural Networks
Abstract: This paper deals with the iris recognition system using Back-Propagation learning neural network algorithm where Principal Component Analysis technique has been used to reduce the dimension of the iris feature vector. Automated iris localization and segmentation methods have applied to effectively isolate the iris region from pupil and sclera. Circular Hogue transform has used to detect the iris/sclera boundary and pupil/iris boundary. To remove the upper and lower eyelids effects …
Published in Current Trends in Information Technology · Vol. 3, Issue 3, 2013 · pp. 5–11 Read article
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Audio-Only Speaker Identification using Principal Component Analysis based Back-Propagation Learning Neural Network in Noisy Environment
Abstract: This paper introduces text dependent speaker identification system on Principal Component Analysis based Back-Propagation learning neural network which deals with detecting a particular speaker from a known populations under noisy environment. For audio pre-processing, ends point detection, silence parts removal, frame segmentation and windowing techniques have been used and wiener filter has been applied to remove the background noise from the audio speech utterances. To reduce the dimension of the …
Published in Current Trends in Signal Processing · Vol. 3, Issue 3, 2013 · pp. 1–10 Read article
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Comparative Analysis of Forward and Backward Auxiliary Selective ASE Pumping for L-Band EDFA
Abstract: ABSTRACT An exhaustive quantitative and comparative study of eight DWDM EDFA amplifier configurations has been conducted using Selective Wavelength Auxiliary Pumping (SWAP) by Forward Amplified Spontaneous Emission (FASE) and Backward ASE (BASE) pumping schemes for L-band signal gain enhancement and noise figure (NF) improvement. 31 dB gain and 5.19 dB NF at 1570 nm can be achieved using suggested optimum pumping configuration in L-band EDFA. The proposed design model can …
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 3, 2012 · pp. 17–30 Read article
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Analysis Of Gradient Descent In Back Propagation Neural Network For Maximum And Efficient Utilization
Abstract: The back-propagation is a successfully established algorithm for multi-layered perceptron neural networks, which is usuallywith successfully for tiny network architectures or small tasks. In this paper we have highlighted the important libraries for thepurpose of implementation of neural networks. After that we have given the process of feed forward in neural network and howwe optimize this process by updating the weights by going backward towards the previous layers. The Author …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 1, 2022 · pp. 21–30 Read article
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Therapeutic Potential of Plant-Derived Phytochemicals in Targeting Receptor Pathways Related to Non-Enzymatic Glycation: A Meta-Analysis
Abstract: Background: Non-enzymatic glycation, where reducing sugars react with proteins, lipids, and nucleic acids, contributes to various pathological conditions, such as diabetic complications and cardiovascular diseases. This process is facilitated by the receptor for advanced glycation end-products (RAGE), which is pivotal in driving inflammation and causing tissue damage. Objective: This meta-analysis evaluates the effects of plant-derived phytochemicals on RAGE expression and associated signaling pathways, assessing their therapeutic potential in glycation-related diseases. …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 60–73 Read article
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Oral Health Among School Children in India: A Meta-Analysis
Abstract: Background: Good oral health is essential for overall well-being, and its foundation starts from a young age. Majority of people, especially school-aged children, suffer from dental conditions, such as gingivitis, periodontitis, and tooth decay. The Unani System of Medicine (USM) put a lot of emphasis on good oral health. According to the wisdom of USM, the entire health of an individual depends on their oral condition. Oral health is more …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 2, 2025 · pp. 52–58 Read article
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Evaluating Epidemiological and Physical Risk Factors in the Development of Chemotherapy-induced Peripheral Neuropathy (CIPN): An In-depth Systematic Review and Meta-analysis
Abstract: Background of study: Chemotherapy-induced peripheral neuropathy (CIPN) encompasses a range of adverse effects caused by various cytotoxic medications and stands as a primary source of pain among individuals who have survived cancer. In instances of pronounced and sudden CIPN, it might become necessary to diminish chemotherapy dosages or discontinue their application. Currently, no efficacious strategy exists for proactively preventing CIPN, managing established chronic CIPN is constrained, and the risk factors …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 10–21 Read article
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Biomechanical Comparison of Tension-Band Wiring Fixations in accordance with Kirschner Wires Placement Modes for Olecranon Fractures: A 3D-Finite Element Analysis
Abstract: Background: Tension-band wiring is a widely accepted fixation technique and remains a standard method of surgical treatment in displaced olecranon fractures. There are 2 techniques according to the Kirschner wires (K-wires) placements; one is to insert the K-wires into the intramedullary canal of the proximal ulna and the other is provided by those anchored into the anterior cortex of the ulna. The purpose of this study was to compare biomechanical …
Published in Research and Reviews : Journal of Surgery · Vol. 10, Issue 3, 2021 · pp. 14–22 Read article
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Comparison of Lateral and Medial Plate Fixations of Talar Neck Fracture: A 3D-Finite Element Analysis
Abstract: Background: Talar neck fractures are rare, but challenging injuries, because the bone has unique anatomy, and its blood supply makes it difficult to stabilize the fracture and is likely to cause posttraumatic or postoperative complications. Thanks to development of appropriately sized plates, outcomes of plate fixation of talar neck fractures have been improved compared with screw fixation. Although some studies have demonstrated no difference between screw only fixation and screw-plate …
Published in Research and Reviews : Journal of Surgery · Vol. 12, Issue 1, 2023 · pp. 6–15 Read article
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Face Detection and Recognition System Using Back- Propagation Neural Network Classifier
Abstract: Abstract Today Security is an important part of our everyday lives. Biometric technologies are used for providing and increasing the security of the organizations. Human face recognition is a potential method of biometric authentication. This paper represents a process of face detection and recognition system using principal component analysis with back-propagation neural network. For recognizing the faces there are several steps required. Principal component analysis is used for feature extraction …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 2, 2014 · pp. 19–24 Read article
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Multi-Layer Perceptron Neural Network Based Person Identification Using Appearance Based Facial Feature
Abstract: This paper deals with secure person identification system using Back-Propagation learning neural network algorithm where appearance based facial feature and Principal Component Analysis based dimensionality reduction technique have been used. To extract the appearance based facial features, Viola-Jones method has used as a face detector, Stam’s method of Active Shape Model has applied for detecting the facial edges and image pre-processing method has used for eliminating the background noises. For …
Published in Current Trends in Signal Processing · Vol. 4, Issue 1, 2014 · pp. 26–34 Read article
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Face Recognition Using Neural Networking Algorithms
Abstract: Face recognition system has become quite popular nowadays. It has gained a good attention in recent few years. Face recognition is practically everywhere, in security system for criminal activities, places like airports and international borders, it is needed for identification of people. In the paper, we discussed about three Neural Networking Algorithms used for FR such as Gabor Filter, Principle Component Analysis with Back Propagation Neural Network and Wavelet Transform …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 7, Issue 1, 2020 · pp. 23–27 Read article
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Decision Fusion based Pair of Iris Recognition using Back-Propagation Learning Neural Network Algorithm
Abstract: AbstractThe contribution of this work is to enhance the performance of the iris recognition system through decision fusion of left and right iris pattern. Iris recognition system performs well and identify human correctly in neutral environment. In this paper a pair of iris recognition system has been proposed, which is capable enough to identify human through noisy environments. Principal component analysis based dimensionality reduction technique has been used toreduce and …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 2, 2015 · pp. 1–6 Read article
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Performance Analysis of Fusion Classifier of Face Recognition System based on ANN and GA
Abstract: Though a lot of significant work has been done for recognizing and improving the performance in facial pattern, most techniques have been developed based on a single classifier. But most often, the performance of the classifier is not satisfactory in some case. It has been proposed that the performance of face recognition will beimproved by fusing two or more classifiers. We can combine the information/data in different level i.e., feature …
Published in Current Trends in Information Technology · Vol. 4, Issue 1, 2014 · pp. 4–13 Read article
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Structural and Electrical Properties of Low-Energy Ion Beam Kr-Irradiated In/Se Bilayer
Abstract: In the present work, In (~50 nm) over Se (~50 nm) thin films were deposited successively on an Si substrate by e-beam evaporation method under 2×10–5 mbar pressure. The In/Se bilayers were irradiated with low-energy ion beams of 350 keV Kr+1 with fluence of 3 × 1016 ions/cm2. The sample was subsequently characterized for phase formation using X-ray diffraction and thickness profile using Rutherford backscattering spectrometry analysis. In the pristine …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 91–96 Read article
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Back-Propagation Neural Network Based Speaker Identification Under Noise Distortion
Abstract: The aim of this paper is to evaluate the performance of the proposed speaker identification system where Wiener filtering technique has been used to eliminate the background white Gaussian noises and linear discriminant analysis has been used to reduce the dimension of the speech features. Since the audio signal captures more environmental noises than other biometrics modalities, the main emphasis of this paper is to analyze the problem domains of …
Published in Trends in Electrical Engineering · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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Comparative Efficacy and Safety of Safinamide and Rasagiline in the Treatment of Parkinson’s Disease: A Meta-Analysis and Systematic Review
Abstract: Background: Recent studies have suggested Rasagiline and Safinamide monotherapy as potential management options for Parkinson’s disease. Parkinson’s disease, a neurological disorder characterized by tremors and movement difficulties, necessitates treatments aimed at managing clinical symptoms. Levodopa remains the primary effective treatment for Parkinson’s disease symptoms; however, its long-term use often leads to motor complications in many patients. Additional therapeutic drugs, such as dopamine agonists and monoamine oxidase B inhibitors, including Safinamide …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 74–91 Read article
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Texture Study on 316L Weldments after Heat Treatments
Abstract: AbstractAustenitic stainless steels are regularly used as components in many parts and vessels work in the ocean. Also, 316L stainless steel (SS) is used in nuclear reactors, located near sea. 316L SS base metal (BM) and weld metal (WM) are aged at 450°C and at 350°C for 6000 hours and texture analysis using electron backscatter diffraction (EBSD) revealed that the texture is independent of delta-ferrite content. Inverse Pole Figures (IPF) …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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Optimizing the Integration of Photovoltaic and Wind Energy Systems for Enhanced Efficiency
Abstract: This work provides a novel approach for integrating a large-capacity doubly excited induction generator (DFIG)-based wind energy system with solarphotovoltaic (PV). The suggested plan offers a practical PV-grid integration solution by utilising DFIG’s grid and rotor side power converters to pump PV power into the grid. This eliminates the requirement for a separate converter for PV power processing. Compared to a comparable rated inverter utilised in traditional PV-grid systems, the …
Published in Journal of Power Electronics and Power Systems · Vol. 13, Issue 2, 2023 · pp. 34–52 Read article