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663 articles for “robust”
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Real-Time Analysis of E-Waste Monitoring Using Data Visualization in Power BI
Abstract: The exponential growth of electronic waste (e-waste) in India poses significant environmental and public health challenges, necessitating robust monitoring, management, and disposal strategies. This project, Real-time analysis of e-waste generated across different countries in the world and also survey report of India, seeks to provide a comprehensive assessment of e-waste production patterns, utilizing real-time data to capture dynamic shifts in waste generation and collection. By leveraging Power BI for advanced …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 1–7 Read article
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Bioanalytical Method Development and Validation for the Estimation of Levothyroxine in Human K₃EDTA Plasma by Using UPLC-MS/MS
Abstract: A rapid, sensitive, and highly selective UPLC-MS/MS method was developed and validated for the quantitative estimation of Levothyroxine in human plasma using Levothyroxine-D₃ as the internal standard (IS). Chromatographic separation was achieved on a Gemini NX-C18 column (50 × 3.0 mm, 3 µm) with a mobile phase consisting of acetonitrile and water (70:30, v/v) containing 0.015% formic acid at a flow rate of 0.5 mL/min. The total run time was …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 32–46 Read article
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Multicriteria Decision Making using SR-Fuzzy Sets
Abstract: In this study, we introduce and explore square-root fuzzy sets (SR-Fuzzy sets), a novel extension within the realm of fuzzy set theory. We begin by establishing a comparative analysis between SR-Fuzzy sets and two well-known fuzzy set models: Intuitionistic Fuzzy Sets (IFS) and Pythagorean Fuzzy Sets (PFS). This comparison highlights the unique characteristics and mathematical structure of SR-Fuzzy sets. A particular focus is placed on the complement operator, which plays …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 12–20 Read article
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Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
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Polymer Chemistry in Nutraceutical Composites: Exploring Natural Polymers and Binding Systems in a Bamboo-Enhanced Formulation
Abstract: Polymer chemistry underpins the development of advanced nutraceutical composites, blending natural polymers with functional ingredients for health benefits. This study examines a novel nutraceutical formulation comprising ragi (16.39 g/100g), wheat (12.29 g/100g), soybean (12.29 g/100g), buffalo milk (16.39 g/100g), buffalo butter (4.13 g/100g), bamboo extract (0.90 g/100g), and auxiliary components (37.61 g/100g, including fats, sugars, and proteins). Natural polymers—proteins from soybean and milk, polysaccharides from ragi and wheat—form a macromolecular …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 878–884 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Multifunctional Materials for Electro-Mechanical Applications: Synergistic Integration of Strength and Conductivity
Abstract: The integration of mechanical strength and electrical conductivity within a single material system has emerged as a critical requirement in the development of next-generation multifunctional materials. These materials are increasingly sought after in fields such as aerospace, flexible electronics, energy storage, and structural health monitoring, where the traditional separation of structural and functional materials leads to inefficiencies in weight, space, and overall performance. The convergence of these properties enables compact …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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A Comprehensive Review on Piezoelectric Composites for Energy Harvesting and Sensing
Abstract: The capacity of piezoelectric composites to transform mechanical energy into electrical energy and vice versa has drawn a lot of interest recently. This property makes them very appealing for use in energy harvesting and sensing applications. These materials combine the high piezoelectric performance of ceramics with the mechanical flexibility and processability of polymers or other matrices, enabling a wide range of practical uses in flexible electronics, wearable systems, and embedded …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 1, 2025 · pp. 19–24 Read article
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Support Vector Machine Inspired Load Forecasting of a State University in Haryana
Abstract: Estimating the possible environmental impact and determining probable capital requirements are made easier with a solid grasp of electricity demand. Beginning in the middle of the 20th century, demand forecasting for electric power networks was studied theoretically. Prior to that, the study of demand forecasting had not developed because of the small scale of power networks. With the use of statistical prediction techniques, plans for the electric power industry have …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 33–40 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Drug Screening Using Stem Cell Technology
Abstract: Stem cell technology in drug screening has transformed the research and development sector of pharmaceuticals. Although stem cells imitate their human counterparts in terms of both safety and potential, it is a new paradigm for mimicking diseases of humans and scale measuring for toxicity. These tissues will, therefore, be more predictive of what will happen in humans during clinical situations, compared to conventional cell lines or animal models, since they …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 42–51 Read article
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Polymer Chemistry in Sustained-Release Herbal Composites: Designing a Stable Euphorbia tithymaloides Topical System with Phospholipid and Polymer Matrices
Abstract: Polymer chemistry enables the stabilization and sustained release of herbal actives, critical for topical therapeutic applications. This study explores a novel process for preparing a stable, sustained-release topical composition of Euphorbia tithymaloides, leveraging polymer-based systems. Ethanolic extract (50 mg) of the plant, rich in unstable sugar moieties (e.g., D-ribose) and sterols (e.g., stigmasterol), is encapsulated within a phospholipid matrix of phosphatidylcholine (50–100 mg) and cholesterol (50–100 mg). This lipid-polymer complex, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 165–171 Read article
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Next-Generation Conductive Polymer Composites for Flexible and Wearable Electronics
Abstract: The rising demand for flexible and wearable electronics has accelerated research into conductive polymer composites (CPCs) due to their lightweight nature, electrical conductivity, and mechanical flexibility. Despite significant advancements, challenges such as reduced conductivity under mechanical deformation and limited durability persist. This study aims to develop next-generation CPCs with enhanced conductivity, flexibility, and self-healing capabilities. Hybrid nanofillers—graphene, carbon nanotubes (CNTs), and silver nanowires (AgNWs)—were incorporated into bio-based conductive polymers through …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 550–566 Read article
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Machine Learning Pipelines: A Survey on Automation, Scalability, and Deployment Strategies
Abstract: Machine learning (ML) has become a critical enabler of intelligent applications across domains, requiring robust, efficient, and scalable deployment workflows. This review paper provides an in-depth overview of machine learning pipelines, emphasizing three key dimensions: automation, scalability, and deployment methodologies. It begins by exploring automation techniques that reduce manual effort in data ingestion, preprocessing, model selection, and hyperparameter tuning. Tools such as AutoML, TFX, and workflow orchestration platforms are examined …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 17–28 Read article
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Harnessing Machine Learning for Stock Movement Prediction: A Review of Current Approaches
Abstract: Stock price prediction is a crucial task in financial analysis, aiding investors and traders in making informed decisions. This study investigates the use of deep learning methods, particularly Long Short-Term Memory (LSTM) networks, for predicting stock prices based on historical market data. The dataset, sourced from Yahoo Finance, consists of time-series stock price data, which is preprocessed, feature-engineered, and visualized to improve prediction accuracy. The model's performance is assessed using …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 29–40 Read article
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Shell Programming with Sensor Systems and Applications for Human Cognition
Abstract: Shell programming provides a flexible interface to sensor systems, enabling robust scripting for real-time data acquisition and processing, as well as integration with perception components. Such sensors have human analogs—tactile, physiological, and behavioral—and are increasingly embedded within health, mobile, and smart environments to capture fine-grained details of human cognition. Using shell scripts, the system can automatically collect sensor data, fuse multimodal data, and perform adaptive behavioral monitoring, allowing researchers and …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 41–45 Read article
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Fake Product Detection Using Convolutional Neural Networks
Abstract: The widespread circulation of counterfeit products in global markets presents a significant threat to both consumer trust and the integrity of established brands. With the advancement of artificial intelligence, particularly deep learning, there is growing potential to develop more sophisticated systems to combat this issue. This study introduces a novel counterfeit detection framework using the VGG16 Convolutional Neural Network (CNN) to distinguish between authentic and counterfeit products through image analysis. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 08–15 Read article
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Optimizing Chromatographic Techniques for Comprehensive Paraben Analysis to Enhance Safety in Consumer Products
Abstract: Parabens (PBs), such as methylparaben (MePB), ethylparaben (EtPB), propylparaben (PrPB), and butylparaben (BuPB), are widely used as preservatives in pharmaceuticals, food, and personal care products due to their antibacterial properties. However, there are growing worries about their potential to disrupt hormonal functions, which has led to stricter regulations. This study focuses on creating a robust high-performance liquid chromatography (HPLC) method for quickly measuring all four parabens in consumer goods. We …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 228–243 Read article
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Full-Stack Web Development for Intelligent User Interfaces: Integration of MERN and Rails
Abstract: In the modern era of web development, by providing users with flexible, responsive, and interactive designs, Intelligent User Interfaces (IUIs) greatly improve the user experience. A hybrid method for constructing intelligent, scalable, as well as efficient online apps is discussed in this review work, which focuses on the integration of Ruby on Rails with the MERN stack (MongoDB, React.js, Express.js, Node.js). The MERN stack excels in dynamic frontend development, while …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 15–25 Read article