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298 articles for “multi-class classification”
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Towards a Geo-Classification of the Niger Delta for Highway Investment Costing Applications
Abstract: The study carries out a quasi-experimentation, as a basis of devising a spatial quantitative concept, delineating distinct geologic settings which would have differing cost implications for highway infrastructure development in the Niger Delta region of Nigeria. Three broad conceptual geomorphic boundaries, for the categorisation of Niger Delta soils in engineering geologic costing application, were discerned within this conceptual lens. The study further statistically explores the synthesised geo-zonation for differences in …
Published in Trends in Transport Engineering and Applications · Vol. 7, Issue 1, 2020 · pp. 24–40 Read article
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A Protected IEEE 802.15.4 Transceiver Design by a Physical Layer Encryption Approach
Abstract: AbstractWith the multiplication of Internet of Things (IoT), the IEEE 802.15.4 physical layer is winding up progressively, well-known due to its low power utilization. Be that as it may, secure data communication over the system is a testing issue since vulnerabilities in the existing security natives prompt a few assaults. The alleviation of these assaults independently includes noteworthy processing load the honest to goodness hub. In this paper, we propose …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 2, 2018 · pp. 1–6 Read article
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Managing Chronic Diseases: Diabetes Mellitus
Abstract: Diabetes mellitus is one of the most prevalent chronic non-communicable diseases worldwide and represents a major public health challenge due to its long-term complications, increasing prevalence, and economic burden on individuals and healthcare systems. It is distinguished by chronic hyperglycemia brought on by deficiencies in either insulin action or secretion, or both. Diabetes causes increasing harm to several organ systems, including the kidneys, eyes, neurological system, and cardiovascular system, if …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 Read article
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Time Multiplexed Binary Offset Carrier (TMBOC) Transmitter with Polarimetric Interferometric Synthetic Aperture Radar (Pol-InSAR)
Abstract: This paper provides insights into Time Multiplexed Binary Offset Carrier (TMBOC), a modulation technique employed in satellite navigation systems, specifically designed for GPS L1C. TMBOC improves signal correlation properties by time-multiplexing Binary Offset Carrier (BOC) (1, 1) and (6, 1). The text discusses various TMBOC models, including spectral representations and power distributions. Performance analysis reveals the potential of TMBOC signals in achieving superior tracking accuracy and interference resistance compared to …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 34–49 Read article
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Machine Learning-Based Quantification of Polymer Structure Property Relationships for Predictive Material Design
Abstract: Polymer structures exhibit complex, hierarchical arrangements that strongly influence macroscopic properties, yet consistent quantification remains challenging due to nonlinear interactions and limited unified modeling strategies. Existing approaches inadequately capture generalized structure–property mappings across diverse polymer systems. This research aims to establish a machine learning-based quantification model for polymer structure–property relationships to support predictive material design. A Polymer Structure Property Dataset of 5,000 polymer samples includes structural descriptors and experimentally measured …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 737–754 Read article
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Comparative Study of Cardiac Poisons in Ayurvedic and Modern View
Abstract: The concept of Visha is widely used in Ayurveda in different dimensions such as a poisonous drug, synonym of fast acting drugs, anything that creates Vishaada (sadness to mind and body by causing different diseases). Poisons are also used as a constituent in various multidrug formulations. So, it becomes necessary to use this poison judiciously for the benefits of human race. Certain drugs are known for their actions on heart. …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 6, Issue 2, 2019 · pp. 1–6 Read article
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Malicious Network Traffic Detection Using Hybrid Feature Selection with Ensemble Neural Network
Abstract: The detection of malicious network traffic is a critical aspect of cybersecurity, aiming to protect sensitive data and maintain the integrity of network systems. This study introduces a novel approach that combines hybrid feature selection with ensemble neural networks to enhance the accuracy and efficiency of malicious network traffic detection. The dataset used in this study was obtained from Kaggle and offers a wide-ranging and varied collection of network traffic …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 3, 2025 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Soil Parameters Analysis of Al-Najaf City in Iraq: Case Study
Abstract: The soil properties are an important parameter for architectural and structural design of structures. Al-Najaf city in Iraq is a famous tourist destination, so in the last one decade a number of multistory buildings, bridges, highways, schools, hospitals, etc. have been constructed. This study investigates the properties of the soil to give a base data, which can be used for the future construction design. The physical and chemical soil properties …
Published in Journal of Geotechnical Engineering · Vol. 3, Issue 1, 2016 · pp. 56–62 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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AIS-based Anomaly Detection for IUU Fishing Activities
Abstract: The future of the Earth’s fish businesses is seriously threatened by the continuous use of illegal or illicit, unreported, and unregulated (IUU) fishing methods, a growing global demand, and deteriorating ocean ecosystem health. The livelihoods of legal fishing are also harmed by IUU fishing. The ongoing efforts to develop sustainable fisheries policies are also hampered by this. In order to manage fishery resources and ensure the safety of maritime traffic, …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 22–36 Read article
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Research Frame work of Missing Data Analysis using Mathematical Models
Abstract: AbstractThis article deals with providing an overall framework of missing data analysis using mathematical models. Mathematical models serves at large for missing data imputation. Several algorithms in machine learning techniques like Mean, Median, Standard Deviation, Regression and Naïve Bayesian classifier use Mathematical models for analysis. The performance of above mathematical models has been compared by using correlation statistics analysis gives the imputed values are positively related or negatively related or …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 7, Issue 3, 2020 · pp. 36–44 Read article
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A Survey on Classification of Routing Protocol in MANET: PROACTIVE, REACTIVE, HYBRID
Abstract: MANET is a wireless infrastructure-less network, in which the nodes are free to move independently in any direction. A mobile Ad hoc network comprises of collection of wireless mobile nodes that are capable of communicating with each other without infrastructure or any centralized administration. There is No wired infrastructure is required to form a network. Mobile Ad-hoc network (MANET) is a dynamic wireless network in which each mobile node acts …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 5, Issue 2, 2018 · pp. 33–38 Read article
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Pain Management in Rheumatoid Arthritis: Clinical Role and Therapeutic Implications of NSAIDs
Abstract: Rheumatoid arthritis (RA) is a progressive, chronic autoimmune condition that results in swelling in multiple joints. It is estimated to occur in 0.5–1% of the global population and is more common in women. India has an estimated prevalence of 0.75%. RA causes the destruction of joints and a decrease in disabilities and quality of life. It is accompanied by further manifestations and multiple co-occurring conditions that lead to a greater …
Published in International Journal of Orthopedic Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 21–27 Read article
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A Survey On Leveraging Machine Learning for Phishing Attack Prediction and Detection
Abstract: Phishing is one of the biggest cybersecurity threats that exploits user trust by masquerading as a legitimate site or email to steal personal and sensitive information. A state- of-the-art-phishing detection systems survey, this review showcases the evolution from traditional list-based techniques, including blacklisting and whitelisting to machine learning and deep learning models. While list-based systems cannot evolve to detect new and zero-day attacks, the ML algorithms of Decision Tree, Random …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 3, 2025 · pp. 1–10 Read article
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A Survey on Genetic Programming in Data Mining Tasks
Abstract: ABSTRACTGenetic programming (GP) is a machine learning technique used to give the optimized solution for the user specified tasks from a population of computer programs based on a fitness function. Genetic programming provides automated and optimized solutions for searching of large, poorly defined search spaces and even with the complexities of high dimensionality, multi-modality and discontinuity with noise. Knowledge discovery is an extremely complex process in the real world databases. …
Published in Journal of Computer Technology & Applications · Vol. 3, Issue 1, 2012 · pp. 9–15 Read article
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Automated Sorting of Municipal Solid Waste Using Robotic Arm
Abstract: Abstract: The main idea behind the paper is the segregation of municipal solid waste (MSW) by developing a manipulation system for automated sorting of useful recyclables which includes aluminum cans, plastic bottles, and tetra packs. The system is equipped with a thermal imaging camera, proximity sensor and a 5-DOF (degree of freedom) robotic arm. The sorting is based on automated identification of thermographic images. The supervised machine-learning algorithm is used …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 6, Issue 3, 2019 · pp. 5–8 Read article
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SmartCloud: Extending an AI-Powered Cloud Storage System with Automated S3 Glacier Archiving, SimHash Near-Duplicate Detection, and a Custom-Trained Random Forest Recommendation Engine
Abstract: Cloud storage services have become fundamental infrastructure for both individuals and organizations, yet they continue to charge users for every byte retained without offering any mechanism to automatically reduce that footprint over time. Files accumulate progressively, near-identical document revisions go undetected, and cold data occupies expensive active storage tiers indefinitely. The present work introduces SmartCloud, a fully deployed multi-cloud storage optimization platform that addresses these inefficiencies through four integrated engineering …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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Flavonoids Regulate Airway MUC5AC Mucin Expression through Modulation of Multiple Signalling Pathways
Abstract: Airway mucus is a component of pulmonary innate immune function and plays very important role in defense against invading pathogenic microbes, chemicals and particles. The protective function of airway mucus is attributed to the viscoelasticity of mucins. Mucins are large glycoproteins play important role in cell–cell adhesion, airways protection, Nuclear-factor kappa B signalling, epidermal growth factor receptor signalling. Eleven mucin genes (among twenty identified mucin genes) have been expressed at …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 7, Issue 3, 2017 · pp. 21–33 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article