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443 articles for “Features extraction”
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Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 41–49 Read article
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CNN-Based Diagnosis of Skin Cancer from Dermoscopic Images
Abstract: Skin cancer has become one of the diseases widely spread over the globe, with melanoma becoming a severe threat to one’s health. Detection of such diseases at the initial stage saves an individual from drastic damage. Using a Convolutional Neural Network (CNN) for detecting skin cancer through image classification as benign or malignant provides significant support to dermatological practice and reduces dependence solely on subjective visual examination. Dermatologists often face …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 1, 2026 · pp. 37–42 Read article
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Early Lung Cancer Prediction using deep Learning
Abstract: Lung cancer is a global killer because it’s often found late. Finding it early is key to treatment and survival so computer assisted diagnostics are essential. This research uses deep learning to spot early stage lung cancer from CT scans. We trained and fine-tuned three convolutional neural networks—ResNet50, Dense Net 201 and EfficientNet-B0—using transfer learning. We preprocessed the lung CT images by resizing, normalizing and augmenting them to enhance the …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 15, Issue 2, 2026 Read article
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Power Quality Monitoring in Wind Solar Hybrid System
Abstract: With the development of new functionalities, solar and wind energy based hybrid systems are upcoming energy source with higher efficiency. Solar and wind energy being naturally available in abundance and non-polluting, is one of the most promising sources. Due to the development of modern power electronic devices, the power quality of wind solar hybrid system gets affected. Hence, due to the increasing usage of sensitive electronic equipments in wind solar …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 16–23 Read article
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Image Preprocessing And Analysis On Eye Fundus Images Segmentation By Using Density Clustering Methods
Abstract: Abstract: In order to do an automated evaluation of various retinal illnesses such as Diabetic retinopathy, Glaucoma, and Macular Edema, fundus images must be pre-processed first. For many reasons, it's difficult to accurately detect the optic disc. Many blood vessels cross the optic disc, making it difficult to discern the disc's boundaries in fundus images. Lesion regions in diabetic retinopathy look very much like an optic disc's colour and texture, …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 11–18 Read article
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An approach to adding knowledge constraints to a data-driven generative model for Carnatic rhythm sequence
Abstract: Computational models for generative music have been a recent trend in AI based technology developments. However, an entirely data-driven strategy often falls short of capturing the naturally occurring rhythmic grouping. Guedes et al. [1,2] had proposed dictionary based and stroke-grouping based approaches to generate novel sequences in the 8-beat cycle of Aditala. More recently an attempt of incorporating arithmetic partitioning, as conceived by performers, was made [3] to get rid …
Published in Trends in Electrical Engineering · Vol. 9, Issue 3, 2019 · pp. 11–17 Read article
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Nail Image Processing for Early Symptom Detection of Diseases based on Supervised Learning
Abstract: Digital Image Processing of human nail can be used for the prediction of various systemic and dermatological diseases. The proposed system – Nail Image Processing System using SVM (NIPS-S) helps us to create a model for the analysis of human nail and predict various diseases. The input to the proposed system is the Human Palm Image. The nail portion is segmented and a combination of nail color, shape and texture …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 49–61 Read article
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CNN based Gesture Recognition for ISL
Abstract: AbstractGesture recognition has always been at a peak when it comes to computer vision and human-computer interaction (HCI). Hand gestures can be used for interaction with systems like managing UAVs, medical devices, videogames, etc. In this paper, the main focus is on handicapped people, who are physically unable to speak or listen. With the help of computer interaction, gestures will be recognized. As, the same gesture by another people differs, …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 11–19 Read article
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Automated Thyroid Nodule Detection in Ultrasound Image using Optimal Neural Network Classifier
Abstract: Malignant thyroid nodule detection is an important issue in thyroid ultrasonography image processing. Literature reports many algorithms in this domain. This research aims to design optimal decision support system (DSS) for ultrasound thyroid nodule image characterization into benign and malignant classes. Thyroid nodule region is segmented to extract texture features from thyroid nodule ultrasound images acquired from 38 patients using gray level co-occurrence matrix (GLCM) and statistical properties. These features …
Published in Journal of Advancements in Robotics · Vol. 2, Issue 2, 2015 · pp. 15–25 Read article
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SENTIMENT ANALYSIS: A REVIEW
Abstract: This paper compared research solely related to sentiment analysis. Various different approaches are compared based on the research work the authors have published. Sentiment analysis can be done on attitudes, reviews and sentiments. The sentiment analysis is done by first normalizing the data & then selecting the vocabulary to be used to find difference in the given text. Now the algorithm based on the user specification can be decided to …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 1, 2018 · pp. 20–23 Read article
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Performance Evaluation of Segmentation Algorithms for Apple Fruit Grading
Abstract: For supplying high-quality food products within a short time, automated grading of fruits is getting special attention. Fruit grading technique will grade the fruits using their shapes, color and outer look. This emphasizes the necessity of image segmentation which extracts important features from an image. This paper consists of analysis of different segmentation algorithms for detecting damage part of fruit. Marker-based watershed algorithm uses internal and external markers to locate …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 2, 2014 · pp. 34–40 Read article
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Automatic Detection and Classification of Brain Tumor in Magnetic Resonance Images
Abstract: Brain tumor is one of the serious diseases that have caused death to many people in recent years. The complex structure of the brain and its main function associated with the central nervous system and its critical role in controlling most of the functions of the body make detection of tumor a challenging task. Many techniques have been presented in the medical field in order to detect brain tumor from …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 34–40 Read article
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Image Reconstruction of Noisy Distorted Images Using Deep Learning Methods: A Review
Abstract: AbstractThe field of digital image processing deals not only with the extraction of features and analysis of images but also restoration of images. Image restoration is one of the basic steps of processing that deals with making certain improvements in a digital image based on some predefined criteria. A deep learning architecture for image restoration that attains statistically significant improvements over traditional algorithms is Poisson image de-noising, especially when the …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 3, 2020 · pp. 21–25 Read article
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COVID-19 Detection using Convolutional Neural Network (CNN)
Abstract: Coronavirus disease (COVID-19) is spreading across the whole world and has habitual expressive community spread. The sudden hike in the number of patients with COVID-19, i.e. a new respiration virus has an extreme impact on the healthcare system. There are limited kits for diagnosis, hospital beds for such kind of patients, a limited number of personal protective equipment (PPE) for healthcare temporary staff and limited ventilators. A prediction system based …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 2, 2021 · pp. 22–30 Read article
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Live Integrated Facial Observation (L.I.F.O.)
Abstract: A human face is the most influential part of humans that can uniquely identify a person. Using all the facial characteristics as biometric, the LIFO system can be applicable in many different ways. Like in everyday life, the most mandatory task in any organization is attendance marking. Earlier, people used to mark their presence using paperwork but now along with the advancement of technology, this system has also changed and …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 2, 2021 · pp. 34–43 Read article
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Speed Invariant Gait Identification using Frequency Domain Feature
Abstract: Changes in walking speeds is one of the most challenging covariates in gait identification. Walking speed change is accountable to significantly alter walking patterns of an individual. This covariate is also responsible for the intra-class variations; and for that, the training dataset fails to cope with. This covariate may affect some parts of human gait and keep other parts untouched. To address this issue, parts definition and selection is carried …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 47–55 Read article
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Oculight: AI Based System for Visual Assistance to Blind and Visually Impaired People
Abstract: This research introduces a new captioning model that utilizes both image and caption models to produce textual descriptions of images. By combining a convolutional neural network (CNN) and a long short-term memory (LSTM) recurrent neural network (RNN), this deep learning architecture offers a promising solution for improving the quality of life and independence of blind people through AIbased systems. The system's implementation on an Android device ensures that it is …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 1, 2023 · pp. 22–29 Read article
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Fingerprint Recognition for Crime Scenes Using Deep Learning
Abstract: Crime-scene fingerprint photos are crucial hints for resolving ongoing cases. Using deep machine learning and convolutional neural networks, we provide a comprehensive crime scene fingerprint identification method in this research (CNN). Precision photography and sophisticated physical and chemical processing techniques are used to collect images from crime scenes, which are then kept as databases. It can be challenging to categorize the photographs taken from the crime scene because they are …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 13–18 Read article
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Biomedical Image Processing: Retinal Blood Vessel Segmentation using Graph Cut Technique
Abstract: Retinal image, which is used in determining different diseases in the eye of a human being, is an important feature in the field of ophthalmology. Similarly, optic disc detection is also an important feature as it locates diseases and defects. In Image processing of fundus, image vessel extraction is the key feature used in doing so. Here, we are presenting the Graph Cut method which helps in extracting blood vessels …
Published in Current Trends in Signal Processing · Vol. 5, Issue 1, 2015 · pp. 17–20 Read article
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Entropy Analysis Based Differential Evolution Approach for Emotion Classification for EEG
Abstract: Electroencephalography (EEG) signal processing is having its significance in various applications related to the emotion recognition and classification. The behavior monitoring, behavior class identification, emotion class identification are the major aspects for classification of EEG signal. In this paper, a feature adaptive differential evolution (DE) approach is defined to perform emotion classification. In this work, we used discrete wavelet transform (DWT), for extracting the statistical features from the EEG signal …
Published in Current Trends in Signal Processing · Vol. 5, Issue 3, 2015 · pp. 15–22 Read article