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34 articles for “vector fields”
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Flow Structures Around Proposed Bridge Piers
Abstract: The current study investigated the flow hydrodynamics around proposed bridge pier and made comparison with existing bridge pier. To quantify the flow structures around the piers, the flow and turbulence parameters are analysed to understand the interference of one bridge pier over another. The experiments were performed on recirculating channel of 15 m length, 0.89 m width and 0.65 m height. Instantaneous three-dimensional velocity data was recorded by acoustic Doppler …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 14–21 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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Revolutionizing Optical Fibre Field Distribution with Linear Finite Element Method
Abstract: This study investigates the use of the linear Finite Element Method (FEM) for the analysis of the field distribution in optical fibres. Understanding the distribution of electric and magnetic fields is necessary to characterise fibre properties including mode profiles, propagation constants, and dispersion, all of which are essential for optimising fibre performance in a range of applications like sensing and telecommunications. This study emphasises on applying a linear FEM formulation …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 32–42 Read article
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Analysis of Field Distribution in Optical Fibre Using FEM Method
Abstract: The application of the linear Finite Element Method (FEM) to the analysis of the field distribution in optical fibres is examined in this work. Characterizing fibre characteristics like mode profiles, propagation constants, and dispersion, all of which are critical for maximizing fibre performance in a variety of applications like sensing and telecommunications, requires an understanding of the distribution of electric and magnetic fields. In order to accurately determine the modal …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 31–40 Read article
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Advancements in Insect Science: Agricultural, Health, and Biotechnological Applications for Sustainability
Abstract: Insect research is very important for solving problems in agriculture, health, industry, and protecting the environment. This article talks about the many uses of entomology and how new study on insects helps with pest control, pollination, disease vector control, and the creation of bioinspired technologies. There is a lot of talk about integrated pest management (IPM) tactics, using insects in forensic investigations, and the new sector of producing insect- based …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 7–14 Read article
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The Synthetic Media Threat: Generative AI and Deepfake Technology enabled Synthetic Media as Emerging Vectors of Cyberterrorism
Abstract: Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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A Conceptual Framework and Policy Analysis
Abstract: Cyberterrorism for most part of its academic and general understanding has been known and studied through conventional way such as a) malware deployment b)denial of essential services c) attacks on critical infrastructure, however with rapid changes in information technology as well as recent swift proliferation of generative artificial intelligence and deep fake technologies a completely new and unexamined dimension of threat vector has emerged, further expanding the threat areas are …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article
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Dispersion Analysis of TE Modes in 1D Magnetized Ferrite Photonic Crystals for Tunable and Switchable Band Gap Filtering Device Applications under Transverse Magnetization Configuration
Abstract: The article comprehensively explores the dispersion characteristics exhibited by TE modes within one-dimensional magnetized ferrite photonic crystals, particularly under the influence of transverse magnetization. We employed the rigorous transfer matrix method, a powerful tool for theoretical investigation, calculation, and behavior analysis of such intricate systems. Our research delves into the structural parameters that govern the behavior of these ferrite photonic crystals, explicitly focusing on the incident parallel wave vector (β) …
Published in Journal of Polymer & Composites · Vol. 11, Issue 7, 2023 · pp. 60–68 Read article
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Behavior of Surface Polaritons on Cylindrical Semiconducting Materials at Nanoscale with Radius Dependence Frequency
Abstract: Surface plasmon resonance (SPR) is a physical property of the surface to investigate the important properties of optical behaviors for nanomaterial and biomaterial. It involves the excitation of electrons within a thin metal sheet by incident light at a specific angle, prompting them to propagate parallel to the surface. This sensitivity to external factors, such as changes in the refractive index of the surrounding medium due to molecular adsorption, underscores …
Published in Research & Reviews : Journal of Physics · Vol. 13, Issue 2, 2024 · pp. 1–7 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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Assessment of Milk Quality Optimization of Yogurt Fermentation
Abstract: In the creation of new products, yogurt makers need to prioritize consumer preferences to enhance their market share. An advanced prediction method will help in grasping the fundamental connection between consumer preferences and sensory attributes. This study introduces a new deep learning approach that employs an autoencoder to derive product features from expert-scored sensory attributes. These sensory features are then analyzed through support vector machine regression to align them with …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 6–12 Read article
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Kinematic Relations of Particle Motion using Polar Cylindrical Coordinates System: Applications in Robotics and AI
Abstract: This paper explores the motion of a particle in space using the cylindrical polar coordinate system. It presents the physics of particle motion by defining spatial positions in three-dimensional polar coordinates and examining the particle’s kinematics—namely its position, velocity, and acceleration—in vector form. These quantities are mathematically expressed as functions of time, accounting for the changing coordinates in radial, angular, and vertical directions. This coordinate system proves especially useful for …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 12–16 Read article
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AI-Based Preventive Healthcare Using Quantum Computing
Abstract: With its improved performance and capabilities, quantum machine learning (QML) is becoming a promising field, especially in the healthcare industry for tasks like early heart disease prediction. In this work, a Quantum Support Vector Classifier (QSVC) is proposed as the basic classifier for a bagging ensemble learning model. Shapley Additive explanations (SHAP) are used to evaluate the significance of each attribute in the predictions in order to improve explainability. Using …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 15, Issue 2, 2025 Read article
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Comparative Study of Machine Learning Algorithms for Detection of Breast Cancer
Abstract: Breast cancer continues to be the most commonly diagnosed cancer among women, with more than 2.3 million new cases diagnosed yearly worldwide. It is stated as the leading cause of cancer-related deaths. Therefore, this emphasizes the dire necessity for early diagnosis with a view to improving survival. Early diagnosis elevates the effectiveness of prediction and treatment. This research carries out a structured and analytical evaluation of various machine learning algorithms, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 113–129 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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An Overview of Gene Therapy
Abstract: Gene therapy is a revolutionary technique in medical science that seeks to cure or stop illnesses by means of introducing, altering, or quieting genes inside a patient's cells. Advancements in molecular biology, genetics, and biotechnology have propelled this field forward markedly changed over the last few decades. The underlying idea of gene therapy is to introduce genetic material into target cells via viral or non-viral vectors to rectify faulty genes, …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 89–105 Read article
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Integrating AI and ML in Tribology: A Review of Current Trends and Future Prospects
Abstract: This review paper explores the growing integration of artificial intelligence (AI) and machine learning (ML) within the field of tribology. Tribology, the study of friction, wear, and lubrication, is crucial for Improving the performance and longevity of mechanical systems. This review explores the role of AI and machine learning techniques, including artificial neural networks (ANNs), support vector machines (SVMs), and physics-informed machine learning (PIML)can be used to solve difficult tribological …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 3, 2025 · pp. 56–60 Read article
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The Power of Genetic Engineering in Revolutionizing Vaccines
Abstract: Genetic engineering techniques, including recombinant subunit, viral vector, and nucleic acid vaccines have transformed the landscape of vaccine development. These novel approaches offer precise antigen design, enhanced safety profiles, and rapid adaptability to emerging pathogens. Key advantages include improved efficacy through targeted immune responses, increased safety due to the absence of live pathogens, and the ability to modify vaccines to address new variants or diseases quickly. Notable success stories, such …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 18–27 Read article
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Human Age and Gender Determination Using Fingerprints
Abstract: We present a review of technologies to determine human age and gender using fingerprints. Broadly two methodologies are reviewed i.e. Ridge based human age and gender determination and Image based human age and gender determination. Ridge based techniques uses ridge information with its variant statistics measures for classification of a human fingerprint into different classes of age groups and male/female distinction. These methods do not involve separate classifiers for classification …
Published in Journal of Advancements in Robotics Read article
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Machine Learning Driven Mobile Price Prediction Using Feature Selection and Parameter Optimization
Abstract: Machine learning calculations are utilized in many fields like money, training, industry, medication, and online business. Machine learning calculations show execution contrasts relying upon the dataset and handling steps. Picking the right calculation, preprocessing and post-handling techniques have incredible significance in accomplishing great outcomes. The Random Forest classifier, K-nearest neighbor classifier, and support vector machine methods are evaluated to forecast mobile phone price categories. The “prediction” dataset which is taken …
Published in Current Trends in Information Technology · Vol. 14, Issue 3, 2024 · pp. 18–25 Read article