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298 articles for “multi-class classification”
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Breast Cancer Detection and Multiple Classification Using CNN
Abstract: Although some efforts have been made in the form of preventative screening programs, breast cancer remains one of the rising causes of death in women. Computer-assisted diagnosis is needed because of the rapidly increasing number of mammograms that can be collected by these programs. Performance metrics are not significantly improved by computer aided detection methods designed to improve diagnosis without a large number of sequential readings. In this context, self-imaging …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 12, Issue 2, 2023 · pp. 28–38 Read article
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Multinomial classification Identification for Domestic Violence Virtual Posts Based on Improved Convolution Neural Network (ICNN)
Abstract: AbstractDomestic violence isn’t only about the physical violence but further any conduct the purpose of which is to gain power and manage over a spouse, partner, girl/boyfriend or intimate own circle of family member which leads to the violation of human rights. Through the web-based networking media domestic violence crisis support (DVCS) have demonstrated fundamental help directions to abused people and their families. The unrivaled outcomes in online content description …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 1–10 Read article
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A Survey on Multi Label Classification
Abstract: MultiLabel Classification is a kind of supervised learning where each instance can belong to set of multiple classes. The methods can be broadly classified into two groups: Problem Transformation and Algorithm Adaptation. Ten representative Multi Label models are scrutinized under common notations followed by different evaluation metrics. There exists wide range of application for multi label prediction such as text categorization, semantic image labeling, gene functionality etc. This survey paper …
Published in Recent Trends in Programming languages · Vol. 5, Issue 1, 2018 · pp. 19–23 Read article
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Multi-Parameter Biomedical Sensor-Based Mental State Classification Using EEG And Deep Learning Techniques
Abstract: With mental health concerns becoming increasingly widespread, there is a strong need for systems that can monitor conditions like stress, anxiety, and fatigue in a continuous and non- invasive manner. This research proposes a novel multi-parameter biomedical sensing framework for mental state classification by integrating electroencephalography (EEG) signals with physiological parameters, including body temperature acquired using LM35 sensors, heart rate from pulse sensors, and blood oxygen saturation (SpO₂) measurements. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 · pp. 1–8 Read article
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Sub-Pixel Classification of Multi-date Satellite Images for Accurate Change Detection in Pichavaram Mangroves, Tamilnadu, India
Abstract: The Pichavaram mangrove wetland ecosystem contains species such as Rhizophora apiculata and Avicennia marina which are interspersed with the creeks and marshland landforms. Various studies have indicated that over the years the areal extent of this mangrove ecosystem has decreased due to both human impact and natural causes (erosion). However, field visits have indicated an increase in the areal extent due to re-forestation by the officials of the forestry department. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 2, Issue 3, 2013 · pp. 30–37 Read article
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Advances in Multiclass Oral Cancer Detection Using Spectroscopic and AI Techniques
Abstract: Oral cancer, primarily OSCC, is still a major health issue worldwide, especially in low-HDI countries. Early diagnosis is essential since survival rates for early detection are much higher than for late-stage detection. However, traditional methods like visual inspection and biopsy are time-consuming, invasive, and rely on the clinician's skill, which is a limitation in accessibility and efficiency. Oral cancer detection has just been revolutionized by recent advances in spectroscopic techniques, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 39–48 Read article
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A Profound Analysis on Complex Multiclass BCI Signals Classification by an EEG Device
Abstract: With a major shift in the technology paradigm today in the area of deep learning and artificial intelligence, one of its important applications today is found in brain-computer interface (BCI). Brain computer-interface, also known as neural control interface or mind-machine interface is a device that helps a user to interact with a computer using only his brain-activity, which is measured usually by Electroencephalography (EEG). The usage of such mechanism has …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 22–44 Read article
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Soil Analysis Mechanisms for Smart Agriculture-A Review
Abstract: Agriculture, Horticulture, as the single biggest client of freshwater on a worldwide premise and as a significant reason for corruption of surface and groundwater assets through disintegration and synthetic overflow, has cause to be worried about the worldwide ramifications of water quality. The related agro food preparing industry is likewise a huge wellspring of natural contamination in many nations. Hydroponics is currently perceived as a significant issue in freshwater, estuarine …
Published in Recent Trends in Sensor Research & Technology · Vol. 8, Issue 3, 2021 · pp. 6–10 Read article
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Automatic Fake News Detection: A Review
Abstract: Misinformation has exploded in the last two decades with the development of digital technologies. The damage caused by it to social harmony, peace, social trust, justice, and democracy has increased the necessity of automatic identification of bogus news and intervention. As more and more content is being available, a person may not deliver much attention to a news piece and may assume it to be reliable just from reading headlines. …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 1, 2023 · pp. 29–35 Read article
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Multi-Class Automatic Emotion Classifier
Abstract: Now a day’s various social networking sites has become a very popular communication tool among internet users across the world. People keep on updating their status, thoughts, opinions, suggestions etc. across the continent which often includes their emotions and sentiments. Therefore social networking sites are rich sources of data for opinion mining and sentiment analysis. In this paper, we are focusing on using Twitter, the most popular social networking platform, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 15–25 Read article
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Classification of Mammogram Images Using Multi-SVM
Abstract: Bosom malignant growth is normal in ladies these days. It first starts when cells in the bosom start to develop wild. These cells for the most part structure a tumor that will frequently be seen on an x-beam or felt as an irregularity. Cells in about any piece of the body can become malignant in growth and can spread to different regions of the body. In the current framework, rule …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 32–51 Read article
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Feature Selection and Weighted Based Optimized Weight based Multi-Tier Stacked Ensemble (WMTSE) Classification for Twitter Sentiment Analysis
Abstract: AbstractThis research work concentrates on both feature selection and classification methods for utilizing twitter data. A new classifier is introduced for classifying “tweets” into positive, negative and neutral sentiment. The system contains four steps: Preprocessing by Tokenization, Text Cleaning, Part of Speech (PoS) Tagging, Stemming and Stop Words Removal, Feature Extraction by Bag-of-words (BoW), Lexicon-based features and Term Frequency- Inverse Document Frequency(TF-IDF), Feature Selection by Binary Swallow Swarm Optimization (BSSO) …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 20–23 Read article
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Multi Face Detection and Gender Classification Based Attendance System
Abstract: Time management is critical in today's hectic classroom, and keeping track of attendance can take up valuable class time. Utilizing technologies like facial recognition and detection can greatly expedite this procedure. While face recognition algorithms compare the detected faces with known faces kept in a database, face detection algorithms can recognize human faces within a group photo or video stream. Without the need for human interaction, teachers can effectively record …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 1, 2024 · pp. 1–7 Read article
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Hand Geometry based Person Identification System using Support Vector Machine
Abstract: In recent times, it is immensely important to identify a person to access the secure data in a system. In this case, verification and identification techniques play a vital role to secure the process. Password system has failed to provide such kind of security. We highly emphasize on the biometric characteristics to design such secured systems. In this paper, we provide a way to identify a unique person by his …
Published in Current Trends in Signal Processing · Vol. 5, Issue 1, 2015 · pp. 26–33 Read article
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Multivariant Disease Detection from Different Plant Leaves and Classification
Abstract: Agricultural growth is significant in Indian GDP which is based on yield of crops, quality of the plants and procedure of the plants taken. To maintain good quality of plant, the plant diseases should be identified and then given proper suggestions to farmers for specific fertilizers and pesticides to be used. The use of specific fertilizers or pesticides makes plant more health with good quality so that farmers can get …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 27–35 Read article
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Developing an AI-Based Novel Forecasting Framework for Surface Irregularity in Metal Matrix Materials
Abstract: Surface irregularity in metal matrix materials (MMM) signifies the deviations from smoothness, influencing structural integrity and performance frequently arising from the manufacturing process along with intrinsic material characteristics that influence effectiveness. Limitations in data, model interpretability and complexity are the difficulties that impede artificial intelligence (AI) based surface irregularity in MMM. In this study, we suggested a novel framework of Gaussian regression fused multi-strategy adaptive boosting classifier (GR-MABC) for the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 48–56 Read article
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Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
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Energy-efficient Image Classification on Edge Devices: Implementation and Evaluation
Abstract: Image classification is a computer vision problem where an algorithm determines a class or label for a given image. Various real-time applications like object recognition, medical diagnosis, person recognition, etc. Image classification property on edge devices is useful for autonomous vehicles, surveillance, and healthcare and internet of things deployments. The advancement of deep learning based methods and graphics processing units (GPU) devices allows efficient processing locally. The study utilizes a …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 3, 2024 · pp. 10–18 Read article
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Knowledge-based, Automated Land Use/Land Cover Mapping Using Resourcesat-1 AWiFS
Abstract: The availability of large quantity of data from high-resolution space-based sensors along with the existing archives surpassed our ability to extract information from all the data using supervised image analysis techniques. Hence there is a need for automated image classifier with high throughput. Knowledge-based, modular, hierarchical decision-based classifier suitable for the analysis and extraction of major land use/land cover classes from IRS Resourcesat AWiFS data has been developed and the …
Published in Journal of Remote Sensing & GIS · Vol. 3, Issue 1, 2012 Read article
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Review Paper on Efficient Quality Inspection of Food Products Using Neural Network Classification
Abstract: AbstractWith the increasing competiveness in the field of food production growing at a faster pace across the globe, quality is one of the most desirable features that a product should possess. The ability to produce quality as well as safety food is the most prerequisite factors for both, national and international market. This paper explains the recently developed approaches and latest research efforts related to the assessment of the quality …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 1, 2017 · pp. 1–14 Read article