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372 articles for “Extraction process”
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HMM-Based Text-to-Speech Synthesis & Stressed Speech Processing
Abstract: According to this paper, the new system produces synthetic speech that is noticeably higher-quality thanspeaker-dependent systems when actual speech data sets are used, and it can compete with speaker-dependent approacheseven in situations when substantial speech data sets are available. This excitation signal, the glottal source, has naturallypiqued the interest of speech synthesis, and a variety of techniques have been developed to mimic the glottal source ofspontaneous speech.The use of artificial …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 7–14 Read article
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Formulation And Evaluation of Vyadhikshamatva Vardhak Giloy Ghanvatis
Abstract: The product of Kalka Kalpana, one of the five essential ayurvedic medicinal preparations, is vati Kalpana. Because of its many advantages, such as its tasty nature, ease of administration, ease of dispensing, and ease of transportation, vati kalpana is a vital part of the ayurvedic formulation. A pharmaceutical technique called vati kalpana uses powder of unprocessed medications (herbal or herbo minerals) and is triturated using juice, honey, or kassayam, and …
Published in Research & Reviews : Journal of Herbal Science · Vol. 13, Issue 2, 2024 · pp. 7–13 Read article
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Multifunctional Resume Analyzer
Abstract: Agencies and numerous high-level organizations get agitated by an outsized range of awards, jobs or higher studies-seeking folks with numerous resumes. The challenge is of managing large volumes of textual data and selecting the most suitable candidate from a pool of applicants. It suggests that the process of choosing the best-fit candidate is difficult due to the vast amounts of information that must be processed. This project provides a wide …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 37–41 Read article
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Leafguard: Smart Plant Health Detection
Abstract: Machine learning techniques, including traditional (shallow) ML, deep learning (DL), and augmented learning (AL), are being increasingly utilized for leaf disease classification. These methods involve feature extraction, data augmentation, and transfer learning to enhance model effectiveness and reduce the need for labeled data. The success of machine learning approaches in this domain hinges on the quality and quantity of data available. LeafGuard is a cutting-edge device with intelligent sensing systems …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 32–39 Read article
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Utilizing Metallurgical Wastes for the use of magnetic separation
Abstract: To enable a wider application of magnetic applications, concentration and purification parameters must be enhanced. The inventive fusion of electromagnetic gradients and multipurpose separations will establish new magnetic-based trends for large-scale downstream processing. More creative solutions are required for downstream processing to advance and resolve the problems facing bioprocessing today. Chromatography is the method that a conservative industry sector uses the most frequently. Chromatography provides a few benefits, but it …
Published in Emerging Trends in Chemical Engineering · Vol. 9, Issue 2, 2022 · pp. 37–41 Read article
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Entropy Analysis of EEG between Alcoholic and Control Subjects during Visual Stimulus Perception
Abstract: The purpose of this paper is to examine the variation in the EEG signal recorded from a group of individual, who were subjected under the effect of alcoholism while comparing them to non-alcoholic or controlled state. For the purpose, EEG from individuals was processed while subjects were perceiving visual picture stimulus from Snodgrass and Vanderwart picture set. A total of 10 trials for each subject have been considered in matched/non-matched …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 6, Issue 3, 2016 · pp. 5–14 Read article
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A Review on Extraction of Liquid Fuel from Waste Plastic
Abstract: Liquid fuel is a plastic-based derived fuel. A rapid economic growth and consumption of plastic across globe, it creates a negative impact on environment and affects the human health. The consumption trend of natural fossil fuel and other renewable resources indicating that a resources are depleting after a certain decades. Thus, to find an alternative energy to secure the future demand of world. Waste plastic are attractive way to address …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 34–40 Read article
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Latent Fingerprint Development via Green Synthesis of PbO Nanoparticles Using Helianthus (Sunflower) Extract
Abstract: Fingerprints are crucial evidence in personal identification, categorized into three types: latent (invisible), patent (visible), and plastic (three-dimensional). To make the latent prints visible, various techniques are used like the powder method, chemical method, and different light sources. In the powder method, commercially available powders are used and are effective; however, incorporating nanoparticles enhances their effectiveness. In this study, a novel fingerprint powder is prepared through green synthesis using distilled …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 2, 2024 · pp. 12–17 Read article
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Analysis on Decadal Variation of Reservoir Area and Perimeter with Respect to Rainfall and Population
Abstract: Water is an essential element for the survival and proper functioning of all life forms on Earth. In the state of West Bengal like many other regions groundwater rivers and water canals serve as the primary sources of water. This vital resource is distributed across various sectors including agriculture households and industrial facilities following necessary treatment processes. West Bengal's climate is characterized by a tropical monsoon type in its southern …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 3, 2024 · pp. 32–40 Read article
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Face Detection and Recognition Using MTCNN and FaceNet
Abstract: Face detection and face recognition are major tasks in the field of computer vision with several real-world applications and many products being developed in the same field. This study gives a detailed implementation of the product that is developed for accurate detection and recognition of faces along with audio output of the face detected. This development would act as a base for a few future products that can be developed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 132–140 Read article
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In Situ Investigation of Hemidesmus indicus Phytocompound Extracts as a Therapeutic Target for Acute Myeloid Leukemia
Abstract: Objective: Acute myeloid leukemia (AML) is an apoptotic condition in the hematopoietic system induced by the differentiation and maturation of stem cells into erythrocytes, and leukemic cell proliferation is suppressed as the PI3K-Akt-mTOR pathway is pharmacologically targeted with certain inhibitors. As a result, in silico molecular docking of compounds against AML receptors, CTMP, was used in computational research on Hemidesmus indicus to uncover therapeutic phytochemicals for AML. Thus, this study …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 1, 2024 · pp. 38–53 Read article
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Constrained Online Non Negative Matrix Factorization (CONMF) for Visual Tracking
Abstract: Visual tracking is the process of locating a moving object (or multiple objects) over time using a camera. It is one of the most important components in numerous applications such as military, secure control, crime prevention systems, access control and biometric identification etc. of computer vision. In visual tracking, holistic and part-based representations are both popular choices to model target appearance. The former is known for great efficiency and convenience …
Published in Current Trends in Signal Processing · Vol. 7, Issue 1, 2017 · pp. 8–18 Read article
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Study of the Effect of Saline Solution on the Extraction of the Tamarind Seed Extracts Active Coagulant for Textile Wastewater Treatment
Abstract: The use of synthetic coagulants is not regarded as suitable due to health and economic considerations. A new coagulant obtained through polymerization of tamarind seed extract has been characterized in the removal of dangerous dye pollutants. The present study was aimed to investigate the effects of tamarind seed extract as coagulant in treatment of textile wastewater. The coagulant prepared was employed for the removal of sludge at the different doses. …
Published in Journal of Water Resource Engineering and Management · Vol. 1, Issue 3, 2014 · pp. 35–39 Read article
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Optimization and Structural Integrity of Truck Chassis Using Finite Element Analysis
Abstract: The chassis of a truck is a crucial component, and it acts as a framework for the body and other components of the truck. It must also be strong enough to withstand pressures like shock, twisting, vibration, and more. When building a chassis, having enough bending stiffness for better handling characteristics is just as important as strength. Deflection, maximum stress, and maximum equilateral stress are crucial design factors for the …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Estimation of Soil Erosion Using GIS in Pune District, Maharashtra
Abstract: The Varandha Ghats pans approximately 14.62 km 2 , where changes in temperature, vegetation, topography, and soil characteristics are causing continuous soil erosion. Catchment heterogeneity and climatic variations cause spatial variability in hydrological processes. Differences in land use, soil type, topography, and rainfall patterns influence how water moves and accumulates across regions, resulting in diverse hydrological responses. This complexity challenges accurate modeling and effective water resource management strategies across variable …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 26–33 Read article
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Bearing Defect Diagnosis: An Approach for Manufacturing Industries Using Wavelet Transform Based Features
Abstract: To maintain reliability in the manufacturing units, industries have concentrated their attention on the condition based maintenance. Fault detection and diagnosis are the two of three condition based maintenance mainstays. Bearing is one of the most important and essential components of the rotating machines. Hence, the researchers have shown their interest in bearing fault detection and diagnosis from the last few years. They mainly use bearing vibration as fault characteristics …
Published in Journal of Microelectronics and Solid State Devices · Vol. 4, Issue 1, 2017 · pp. 15–21 Read article
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OpenCV, AI, and Haar Cascade File: A Review
Abstract: Real-time image processing applications using OpenCV encompass a diverse and crucial array of tasks in modern technology. OpenCV's robust capabilities enable the implementation of object detection and tracking, which are vital for surveillance systems to monitor and analyze activities in real time. In the realm of security, face recognition technology, powered by OpenCV, provides accurate and efficient identification and authentication, enhancing safety measures. Gesture recognition, another significant application, facilitates intuitive …
Published in Journal of Open Source Developments · Vol. 11, Issue 2, 2024 · pp. 39–46 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article