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334 articles for “feature based techniques”
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Review on Various Image Fusion Techniques
Abstract: Recently the wide research field in image processing is image fusion. Combining of all the information and data from all the images without any ruin of information and distortion is image fusion. To obtain an image having all the relevant features at focus is not easy, so getall the feature in single image is obtained by fusing the images with different techniques. This paper describe the brief survey of the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 14–17 Read article
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Solar Panel Maintenance and Prevention System
Abstract: Solar energy has emerged as a sustainable and efficient alternative to conventional energy sources. However, maintaining solar panels is crucial to ensure optimal performance and longevity. Accumulation of dust, dirt, and environmental debris can significantly reduce energy efficiency, leading to increased operational costs and potential system failures. To overcome this issue, we suggest an IoT- based Solar Panel Maintenance and Prevention System that facilitates automated cleaning and preventive maintenance via …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 2, 2025 · pp. 29–34 Read article
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Application of Convolutional Neural Networks in Design of Efficient Pipe Flow System
Abstract: Convolutional Neural Networks exhibit remarkable capabilities in flow pattern recognition, pressure drop prediction, leak detection, and system optimization through their ability to process complex spatial and temporal data patterns. The study examines CNN architectures specifically adapted for fluid dynamics applications, including data preprocessing techniques, feature extraction methods, and performance optimization strategies. Key applications include real-time flow monitoring, predictive maintenance, design parameter optimization, and anomaly detection in pipe networks. Comparative analysis …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 1–9 Read article
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Nanoelectronics Based on Carbon Nanotubes
Abstract: Nanoelectronics, the study and application of electronic components and systems at the nanometer scale, plays a pivotal role in advancing modern technology toward faster, smaller, and more energy-efficient devices. Among the various nanomaterials explored for these applications, carbon nanotubes (CNTs) have emerged as one of the most promising candidates due to their exceptional electrical conductivity, mechanical strength, and thermal stability. This project report presents an in-depth exploration of the role …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 3, 2025 · pp. 40–53 Read article
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Polymer Electrolytes for Flexible Energy Storage
Abstract: The research explores polymer electrolytes as promising materials for flexible energy storage applications, driven by the growing demand for wearable and portable electronics. Polymer electrolytes, including solid, gel, and composite types, offer key advantages such as mechanical flexibility, lightweight design, and improved safety over traditional liquid electrolytes. This study reviews recent developments in materials like polyethylene oxide (PEO), polyvinylidene fluoride (PVDF), and ionic liquid-based systems, focusing on their ionic conductivity, …
Published in International Journal of Advance in Molecular Engineering · Vol. 4, Issue 1, 2026 · pp. 27–35 Read article
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From Cave Paintings to Virtual Web-based Information Resources: Expedition of Library Collection Formats
Abstract: AbstractThe study confers the trends in information storage mediums offered by libraries i.e. collection formats to bring to light the development and advancement in the formats of collection from cave paintings to the virtual web-based information resources. In the beginning, information storage formats tend to be crude and rough in response to the available demand for information as well as the technique available, to store and preserve information that ultimately …
Published in Journal of Advancements in Library Sciences · Vol. 2, Issue 3, 2015 · pp. 57–70 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Tensor-Flow Based Approach to Identify Author of the Text
Abstract: Now-a-days a lot of content is available on internet, and people upload lot of information in form of opinion, review, description, recipe etc. online. In such scenario to trace the authenticity of the data, it is necessary to develop an author identification system. It has become a difficult problem in the scope of unnamed information has increased with fast growing Internet life. It is a process to identify author of …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 23–29 Read article
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Detection of Breast Cancer with Python
Abstract: Global cancer data confirms more than 2 million women diagnosed with breast cancer each year reflecting majority of new cancer cases and related deaths, making it significant public health concern. But fortunately, it is also the curable cancer in its early stage. Early diagnosis of breast cancer with timely and effective treatment services improves the prognosis and survival of patients. During classifying tumors, there are significant chances of error and …
Published in Research & Reviews : Journal of Statistics · Vol. 9, Issue 3, 2020 · pp. 5–22 Read article
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Fuzzy C-Means Clustering for Effective Segmentation and Classification of Brain Tumors in MRI Scans
Abstract: The paper discusses the importance of detecting and classifying brain tumors via MRI for effective treatment. It proposes a framework utilizing the Fuzzy C-means clustering algorithm for segmentation, demonstrating improved performance through real dataset validation. The model is trained on a large, annotated MRI dataset to identify and classify different tumor types, enabling machine learning-based classification into benign and malignant tumors. The MATLAB-based solution automates brain tumor feature extraction, aiding …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 2, 2024 · pp. 23–28 Read article
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Artificial Intelligence based Point of Care Device in Advanced Medical Diagnostic Techniques
Abstract: Application of Point-of-Care Testing (POCT) at medical sites provides instant diagnostic results that help doctors make quick decisions for patient care. The traditional point-of-care testing equipment faces restrictions because they test single parameters and experience calibration problems in addition to inefficient data management systems. POCT technology benefits from the integration of Artificial Intelligence (AI) which creates a novel system to solve current operational limitations. The presented study introduces an intelligent …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 2, 2025 Read article
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Feature Extraction and Classification for Using Mammographic Images
Abstract: AbstractOne of the greatest threats prevailing among women is the breast cancer. According to the National Cancer Institute, 22% of new cases occur every year and it is considered to be the second most frequent type of cancer, worldwide. Mammogram is very important imaging technique that used diagnosis in early stages of breast cancer. Mammography is in this case the best diagnostic technique for screening, the radiology tool which gives …
Published in Journal of Advances in Shell Programming · Vol. 4, Issue 2, 2017 · pp. 10–18 Read article
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A Secured Architecture of Internet of Things (IoT) in the 5G Age
Abstract: Internet of things (IoT) is a technology capable of connecting vast number of devices of many types worldwide via the internet using unique IP addresses. The connected devices can communicate ubiquitously anywhere, anytime for any given user. Such globally distributed networks require a high level of connectivity among its components like smart sensors, workstations as well as networking devices. Thankfully, with the aid of the recently emerged 5G technology, which …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 33–43 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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Face Recognition Practices for Partial Occlusion: A Survey
Abstract: Over the years, biometrics has gained unparalleled popularity in digital medium and has proven its usefulness for several applications concerned with the threats and crime or security purposes. Face recognition is a widely emerging biometric for automating the surveillance, as it has aid in strengthening the security from several types of terrorist or criminal threats. However, there are several face recognition techniques which are categorized based on its error rates …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 1, Issue 3, 2014 · pp. 4–14 Read article
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A Conceptual Framework for AI-Integrated Metabolomics in Predictive Health Systems for Resource-Constrained Environments
Abstract: The increasing prevalence of non-communicable diseases (NCDs) continues to place a significant strain on healthcare systems, particularly in low- and middle-income regions where access to early diagnostic infrastructure is limited. Conventional healthcare approaches remain largely reactive, often detecting diseases at advanced stages when treatment effectiveness is reduced. This challenge underscores the need for predictive, cost-effective, and data-driven healthcare solutions. This study presents a conceptual framework that integrates metabolomics with artificial …
Published in Emerging Trends in Metabolites · Vol. 3, Issue 2, 2026 Read article
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Voting Based Classification Method for COVID-19 Prediction
Abstract: COVID-19 dataset comprises date, country, confirmed cases, recovered cases and total deaths. The data is integrated with climate data consisting of humidity, dew, ozone, perception, maximum temperature, minimum temperature, and UV. The artificial intelligence based COVID-19 diagnosis strategies can generate more accurate results, save radiologist time, and make the diagnosis process cheaper and faster than the usual laboratory techniques. The COVID-19 detection has various phases which include pre-processing, feature extraction, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 34–41 Read article
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Texture Segmentation Using Multichannel Filtering And Kohonen’s Self Organizing Map
Abstract: The texture is very important cue in region based segmentation of images. Texture features play a very important role in computer vision and pattern recognition. Texture segmentation can be broken down into two areas, feature extraction and clustering. In this paper, we implement two stage of feature extraction technique using multichannel filter and Self Organizing Map (SOM). Firstly, we go through channel filters, also known as 2-D Gabor functions. The …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 3, Issue 3, 2012 · pp. 17–30 Read article
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Geomatic Based Morphometric Analysis of Kadalibadi Micro-Watershed of Ansupa Lake Catchment, Cuttack District, Odisha
Abstract: In the present study, an attempt has been made to evaluate morphometric parameters derived from SRTM data and also land use/land cover, geomorphology, soil and also drainage map are prepared from SOI toposheet, LISS IV and Cartosat II satellite images. The study is about the Kadalibadi micro-watershed of Ansupa catchment and the micro-watershed, covering five nos. of villages (Kadalibadi, Podapada, Radhadarsanpur, Mahidharpur and Baidehipur). Remote sensing (RS) along with geographical …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 5, Issue 1, 2016 · pp. 10–21 Read article
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Machine Learning Techniques for Early Detection of Heart Disease
Abstract: Cases of heart disease are increasing rapidly, thus it's important and concerning to be aware of any potential ailment beforehand. This diagnosis is a difficult task that must be completed fast and precisely. The primary goal of this study is to determine which patient, based on different medical features, has a higher chance of having heart disease. We created a heart disease prediction algorithm based on the patient's medical history …
Published in Journal of Microelectronics and Solid State Devices · Vol. 10, Issue 3, 2023 · pp. 16–21 Read article