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334 articles for “feature based techniques”
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Image Processing Based Analysis of Fundus Images for Glaucoma Detection
Abstract: Precise and prompt identification of glaucoma is essential for its treatment. Fundus images provide important information, which shall be extracted using carefully designed image processing algorithms. The paper discusses a methodology for automatic detection of glaucoma from fundus images. The technique makes use of an elaborate image segmentation process, wavelet decomposition for feature selection and a proven classification model.Keywords: Glaucoma, fundus image, discrete wavelet transform, SVM classifierCite this ArticleShibina M.P, …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 1, 2018 · pp. 33–39 Read article
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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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2D LiDAR Based Obstacle Detection System for Obstacle Avoidance in 3D Space
Abstract: Obstacle detection is an important feature in autonomous systems to enhance safety and to improve reliability of the operations in the unknown environment. Various techniques are adopted to detect the obstacle using passive and/or active sensors. Fusion of active and passive sensor techniques are also considered in some cases for better detection of obstacles and improve the accuracy of the detection with safe distance especially in an unmanned aerial robotic …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 3, 2022 · pp. 1–12 Read article
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Microfluidic Features in Fluid Mechanics for Bioengineering Applications
Abstract: In this work, a single SU-8 based glass microfluidic device is fabricated by the mask less lithography and indirect bonding technique. The sealing is performed by author during the hard baking in maskless lithography. Dyed water is prepared as working liquid in this work. A CMOS camera catching 25 frames per second with a corresponding time-scale resolution of 0.04 second is used by the author to record the surface-driven capillary …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 11, Issue 3, 2021 · pp. 1–4 Read article
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Diffusion-Based Enhancement of Low-SNR Time- Frequency Signals
Abstract: Traditional enhancing techniques are useless in low signal-to-noise ratio (LSNR) situations because noise drastically interferes with communication signals. Based on an enhanced DiffBIR model, this paper suggests a dual-stage signal improvement approach that combines diffusion with deep learning. By combining the Inception module for multi-scale feature extraction with the Pixel Fusion Attention (PFA) module for significant region highlighting, the model improves signal recovery in the time- frequency domain. Experiments show …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 15–27 Read article
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An Enhanced Fish Feed Supplemented with Probiotics and Spirulina Formulation for Commercial Production
Abstract: In recent years, the probiotics isolated from fish gut microbiota is used in aquaculture practices as there is a demand to improve the quality of life of fishes. The aim of the study is to isolate probiotic microbe from the gut of Etroplus suratensis and to evaluate the most suitable probiotic for feed formulation. Two bacterial isolates from the gastrointestinal tract (GI) of Etroplus suratensis was evaluated for probiotic properties. …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 10, Issue 2, 2020 · pp. 1–7 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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Automated Vehicle Entry Monitoring System Using YOLOv5
Abstract: This project showcases an innovative You Only Look Once (YOLO) object detection model-based Automated Vehicle Entry Monitoring System for community gates. By using YOLO, the system transforms conventional access control paradigms by accurately and in real-time detecting vehicles that are seeking to gain entry. Unlike traditional approaches, the project leverages YOLO's effectiveness in vehicle recognition, classification and Number Plate Detection to improve residential security. By providing communities with a cutting-edge …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 2, 2024 · pp. 34–38 Read article
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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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ED-SS based Cognitive Radio (CR) over Rayleigh Fading Channel and the Performance of Optimized Cooperative Spectrum Sensing Technique for Modern Wireless Communications
Abstract: Cognitive Radio (CR) has indeed been shown to be a superior way to address the issue of spectrum scarcity in which every wireless system occupies the limited bandwidth spectrum (LBS) allotting to the licensed users. Spectrum holes, which are approximated using spectrum sensing, occur when this LBS is empty in a certain location at a specific moment (SS). The SS is the main objective of CR and various SS techniques …
Published in Journal of VLSI Design Tools and Technology · Vol. 12, Issue 2, 2022 · pp. 1–12 Read article
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A Review on Different Techniques Used for Feature Extractions from Mammogram of Breast Cancer
Abstract: Breast cancer detection is still a complex and challenging problem. Mammogram contains low signal-to-noise ratio (SNR) and a complex structured background so identifying cancer tissues using this technique is a time consuming task even for expert radiologists. Therefore, there is still a need to enhance imaging in digital mammogram, where enhancement in medical imaging is the use of computers to make the image clearer. Studies show that relying on pure …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 9–15 Read article
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Mechanical Strength Prediction of Nano-Silica Concrete Composites Using Machine Learning Techniques
Abstract: Nano-silica, or nanosilica, refers to silicon dioxide nanoparticles, which are a kind of silica (SiO₂) with diameters that often fall below 100 nanometers. This nanomaterial has attracted considerable attention because of its distinctive characteristics and diverse array of uses, notably in augmenting the performance of materials such as concrete. The integration of nanoparticles with cementitious matrix in nano-silica concrete offers a viable approach to improving the mechanical characteristics and longevity …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 963–973 Read article
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Alkylimidazolium Chloride Ionic Liquids as Green Additives in Rubber Composites: A Comprehensive Review
Abstract: The growing emphasis on sustainable and environmentally friendly materials has underscored the use of ionic liquids (ILs) as green additives in polymer science. Alkylimidazolium chloride ionic liquids (ACLs) have emerged as viable possibilities for improving the performance of rubber composites while minimizing the environmental impact of conventional processing aids. This research conducts a thorough examination of the function of ACls in rubber technology, focusing on their physicochemical features, interaction mechanisms …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 1–13 Read article
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A Review on Detection of Autism Spectrum Disorder Using Signal Processing
Abstract: AbstractAutism is a neural developmental disability associated with impairments in communication and social interaction; it can be detected by various methods such as Magnetic Resonance Imaging (MRI) and Electroencephalography (EEG). MRI is a technique which captures the image of various sections of brain. It is categorised as structural MRI (sMRI) and functional MRI (fMRI). The detection involves capturing the image, removing the unwanted regions of brain, segmenting the images and …
Published in Current Trends in Signal Processing · Vol. 8, Issue 2, 2018 · pp. 12–24 Read article
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Discrete Hidden Markov Model based Face Recognition System Introducing Sustainability of Uneven Lighting Distortion
Abstract: The aim of this work is to enhance the performance of appearance based face recognition system to remove the uneven lighting effect which is generally occurred in natural environment. Active Shape Model has been used to detect the facial shape and contrast based edge detection technique has been applied to reduce the uneven lighting problem. Linear Discriminant Analysis has been used to reduce the dimension of the facial feature vector. …
Published in Trends in Electrical Engineering · Vol. 4, Issue 1, 2014 · pp. 9–16 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Evaluations of Disturbance and Land Cover Changes in the Chitrakoot Forest Range Madhya Pradesh
Abstract: Evaluation of disturbance and land cover change of forest degradation in the Chitrakoot forest range. Land cover change detection and normalized difference vegetation index analysis was carried out on the three images. Global positioning system and topographical map of scale 1:50,000 for ground verification ERDAS Imagine and ArcGIS Software for satellite image processing and analysis were used for the analysis. The Disturbance and land caver change analysis has been attempted …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 8, Issue 2, 2019 · pp. 1–5 Read article
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A Survey Over Preprocessing and Similarity Matching of Trademark Images Based on Color
Abstract: Relevant retrieval from a large high dimension data set is quite cumbersome but a significant task to survive in this world of images. A company’s trademark plays an important in expansion of its business. In this paper techniques have been discussed to retrieve the trademark images on the basis of its color feature. Color is a very important part of any image. It provides strong descriptor and also helps them …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 2, Issue 3, 2015 · pp. 17–26 Read article
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Application of Machine Learning Techniques for Tongue Diagnosis in Ayurveda
Abstract: The analysis of tongue image is a very crucial approach in order to evaluate human health in Ayurveda medication. As a result of the modification in tongue color might counsel physical or mental disorders. Many tongue color quantification strategies for tongue diagnosis are published by many researchers in Chinese medication. However, reliable tongue color analysis algorithms are limited for Ayurveda medicine. The main objective of this paper is to apply …
Published in Journal of Advancements in Robotics · Vol. 7, Issue 1, 2020 · pp. 8–14 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article