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1945 articles for “and analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Design of Maritime Empennage Unmanned Aerial Vehicle (UAV): A Comprehensive Study
Abstract: This project presents a comprehensive study on the design and development of a maritime empennage unmanned aerial vehicle (UAV) tailored for operations in coastal and naval environments. The primary objective is to engineer an efficient, stable, and mission-adaptable UAV with an optimized empennage configuration that enhances aerodynamic performance and control in maritime conditions. The study involves a systematic design process encompassing mission requirement analysis, conceptual and preliminary design, aerodynamic modeling, …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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Comparative Environmental and Economic Assessment of Wind Turbine Blade Materials
Abstract: Wind energy has proven to be one of the most stable and non-polluting renewable energy sources to mass power production. For energy production wind turbine is an essential part of the wind power plant. The choice of the blade material and coating applied on it has a strong impact on aerodynamic performance, mechanical strength, fatigue life, manufacturing possibility, and environmental effects throughout the operating life of the turbine. Hence, authors …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 91–99 Read article
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Kenaf Reinforced Polyamide Composite Materials: A Systematic Review
Abstract: Sustainable development has become the global target to prevent exploitation and degradation of our environment in the pursuit for industrial growth. Almost all sectors including engineering, dental, medical, aerospace, etc use synthetic polymers in daily basis. The growing need for sustainable natural alternatives has encouraged research on natural fibres reinforced polymers like kenaf reinforced polyamide composites. Comprehensive evaluation of existing studies is crucial to understand the scope in this field …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 158–169 Read article
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A Comprehensive survey of robust image quality metrics for satellite imagery
Abstract: Satellite imagery is essential for applications like environmental monitoring, urban development, precision agriculture, defence surveillance, and disaster response. The reliability of these applications is closely tied to the quality of the captured images, which may be compromised by atmospheric effects, sensor imperfections, compression artifacts, and transmission noise. As a result, accurate image quality assessment (IQA) is essential to ensure trustworthy analysis and informed decision-making in satellite-based systems. The distinctive properties …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 1, 2026 · pp. 7–20 Read article
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Parallel Greedy Approach for Phylogenetic Tree Construction in the Context of Marine Species
Abstract: The rebuilding of phylogenetic trees for marine species shows major computing problems because of the massive genomic data and the huge biodiversity inherent in ocean ecosystems. Traditional phylogenetic methods are accurate but become more expensive when they are processing with thousands of marine taxa parallelly. This article shows a critical analysis of parallel greedy algorithms as an adaptable solution for large-scale marine phylogenetics. It examines the main principles of greedy …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 33–45 Read article
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Synthesis of Glass Fiber Reinforced Polymer Composites Incorporating MWCNTS and Graphene: A Study on Dynamic Mechanical Behavior and Cole–Cole Representation
Abstract: Glass fiber reinforced polymer (GFRP) composites were fabricated using multi-walled carbon nanotubes (MWCNTs) and graphene as nanofillers through the hand lay-up technique. Two sets of composites were prepared by incorporating MWCNTs and graphene separately into the epoxy resin matrix at varying weight percentages (2%, 4%, 6%, 8%, and 10%). Mechanical and viscoelastic properties were evaluated following ASTM standards, and Dynamic Mechanical Analysis (DMA) was performed to study their mechanical and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1411–1403 Read article
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Effect of Red Mud Loading on the Thermal and Mechanical Performance of Polypropylene Composites
Abstract: Waste red mud (RM) serves as a low-cost and sustainable filler material in a polypropylene (PP) matrix. This study investigate the effects of different red mud contents on the dynamic mechanical and thermal properties of polypropylene-red mud (RM-PP) composites where red mud levels range from 0% to 40% (based on weight percentage). Fourier Transform Infrared Spectroscopy (FTIR) was conducted for verifying the presence of both polypropylene and red mud in …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 161–169 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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Photochemically Assisted LC–MS Method Development and Validation for Stability-Indicating Determination of Glasdegib in Rat Plasma
Abstract: A simple, precise, and cost-effective LC–MS method was successfully developed for the determination of Glasdegib in rat plasma. The method optimization was carried out by systematically varying key chromatographic parameters, including flow rate, injection volume, analyte concentration, and mobile phase composition, to achieve optimal sensitivity and resolution. A C18 Hypersil BDS column (150 mm × 4.6 mm, 3.5 µm particle size) was used for chromatographic separation, offering effective peak shape …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 1, 2026 · pp. 11–20 Read article
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AI-Based Outfit Rating and Suggestion System
Abstract: The increasing demand for personalised fashion advice in the digital era has highlighted the need for intelligent, automated styling solutions. The AI-Based Outfit Rating and Suggestion System is a web- based platform that assists users in evaluating and improving their clothing choices through intelligent image analysis. Unlike conventional fashion applications that merely identify garment categories or suggest purchases, this system performs a holistic assessment of complete outfits by analysing colour …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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GenChrome-ML: A Machine Learning Framework for Early Detection of Chromosomal Disorders Using Genomic Data
Abstract: The increasing burden of chronic disease and cancer demands innovative, more rapid and effective diagnostic tools in the field of healthcare. The majority of current diagnostic tools are dependent upon clinical symptomology and manual evaluation, leading to delays in early detection and treatment. The development of artificial intelligence (AI) and machine learning (ML), in recent years, has offered opportunities for the enhancement of disease prediction, diagnosis and personalization of treatment …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–12 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Pharmacognostical and Phytochemical Study ofAdhahapushpi (Trichodesma Indicum Linn. R. Br.)
Abstract: Objective: To carry out pharmacognostical and phytochemical studies on each part of Adhahapushpi (Trichodesma Indicum Linn. R. Br.) belonging to the family Boraginaceae. Methods: The root, leaf, stem, flower and fruits of Adhahapushpi (Trichodesma Indicum Linn. R. Br.) were assessed for pharmacognostical studies such as macroscopic, microscopy, powder study, and quantitative microscopy. The powder was assessed for proximate analysis like ash value, extracting value, moisture content, elemental analysis, and preliminary …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy Read article
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The Overview of Software Testing: Types, Methods, and Levels
Abstract: Software development life cycle (SDLC) is a software development model consisting of different phases i.e., analysis, design, coding, testing, deployment, and maintenance. The analysis phase is the primary phase in which all the requirements are gathered and analysed which is further used for designing and coding. The next phase is testing. Software testing is a process of evaluating software so as to check whether it satisfies the requirements of the …
Published in Journal of Software Engineering Tools & Technology Trends Read article
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Proposal of System for High Efficiency Energy Extraction from LNG and Study of Use of EGR and SCR System in Ships
Abstract: The paper focuses on the green shipping methodologies and environment friendly practices. Liquefied natural gas (LNG) is one of the most effective alternatives to traditional shipping fuels. Ports have LNG re-gasification systems, which generally use Open Rack Vaporizers (ORVs) to convert the LNG to NG. In this process, a lot of the ‘cold energy’ is lost. A proposal for a LNG re-gasification system has been made in this paper which …
Published in Journal of Offshore Structure and Technology Read article
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The Fundamental Premises of Efficient Linear Regression and Applying Regression
Abstract: Linear regression is a statistical technique for estimating the value of a dependent variable from an independent variable. Linear regression is a way to assess how two variables are related. A dependent variable is predicted using this modelling technique based on one or more independent factors. Many analyses are based on linear regression. Sometimes the data must be changed to satisfy the needs of the analysis, or extra room must …
Published in Trends in Machine design Read article
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Design of Secure Biometric-based Access Mechanism for Cloud Services
Abstract: In our data-driven society, the demand for remote information storage and computation services is increasing exponentially, as is the need for secure access to such information and services. during this project, we have a tendency to style a replacement biometric-based authentication protocol to produce secure access to an overseas (cloud) server. Within the planned approach, we have a tendency to think about biometric information of a user as a secret …
Published in Journal of Experimental & Applied Mechanics Read article
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Assessment of Groundwater Quality in Rumuodara, Rivers State, Nigeria
Abstract: The assessment of groundwater quality from selected borehole in Rumuodara, Rivers State, Nigeria was evaluated. The results of the physicochemical parameters revealed that pH ranged from 6.57-6.60, temperature: 26.10-28.54oC, turbidity: 1.57-2.96NTU, conductivity: 41.24-68.44 μS/cm, salinity: 26.10-50.37mg/l, total dissolved solid: 18.9-63.14mg/l, total hardness: 38.21-48.30mg/l, alkalinity: 55.30-70.17mg/l, chloride: 28.40-75.14mg/l, sulphate: 21.50-30.60mg/l, nitrate: 1.50-3.04mg/l, phosphate: 59.24-65.40mg/l, calcium: 37.81-45.27mg/l, Iron: 0.133-0.190mg/l, sodium: 16.70- 21.13mg/l, copper: 0.22–0.50mg/l, total suspended solid: 2.94-3.60mg/l, Lead: < 0.01mg/l-2.27mg/l, zinc: …
Published in Research & Reviews : Journal of Ecology Read article