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1976 articles for “font meta- data” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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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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Predictive Analytics and Adaptive Learning: A Machine Learning Framework for Reducing Learning Gaps
Abstract: Most contemporary digital learning environments encounter persistent challenges when it comes to accurately identifying students who are at-risk of academic underperformance. These challenges often arise due to limited visibility in learners’ engagement levels and gaps in conceptual understanding, particularly during the early stages of a course. To address this issue, the present study proposes an early prediction framework that leverages comprehensive student-related data through the application of machine learning techniques. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 16–21 Read article
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Impact of Mould Material on Microstructure and Mechanical Properties of Aluminium Castings: A Comparative Study with Aluminium Matrix Composites
Abstract: Casting has a wide industrial usage because it allows manufacturing complicated forms even at a comparatively low cost. Issues like transfer of heat through the interface of the mould and the metals, the rate of solidification, and the characteristics of the mould material have a powerful impact on the quality of cast products. This study measures the influence of various mould substances on the mechanical characteristics of aluminium castings. Sand, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 9–18 Read article
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Structure–Property Modeling of Cement-Based Multi-Component Composites Using Ensemble Machine Learning and Explainable Feature Attribution
Abstract: Accurate prediction of compressive strength is central to structure–property optimization, quality control, and sustainability-driven design in cement-based composite materials. Cementitious systems represent heterogeneous multi-phase composites composed of reactive binder matrices and dispersed aggregate phases, whose macroscopic mechanical performance emerges from complex nonlinear interactions among constituents and curing-dependent microstructural evolution. This study develops a data-driven structure–property modeling framework to quantify the nonlinear dependence of compressive strength on multi-component composite composition and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 112–131 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article
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Explainable Artificial Intelligence in Personalized Medicine: Emerging Clinical Perspectives
Abstract: The convergence of artificial intelligence (AI) and precision medicine has transformed contemporary healthcare by enabling data-driven clinical decision-making, individualized therapeutic interventions, and predictive diagnostics. However, despite remarkable advances in machine learning (ML) and deep learning (DL), the widespread adoption of AI in healthcare remains constrained by the “black-box” nature of many computational systems. Clinicians, regulatory agencies, and patients increasingly demand transparency, interpretability, and trustworthiness in AI-guided medical recommendations. Explainable Artificial …
Published in Emerging Trends in Personalized Medicines · Vol. 3, Issue 2, 2026 · pp. 13–29 Read article
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Antimicrobial Resistance and AI-Based Strategies for Rapid Pathogen Detection
Abstract: Antimicrobial resistance (AMR) has become a major global health threat, significantly reducing the effectiveness of antimicrobial therapies and increasing the burden of infectious diseases worldwide. The rapid emergence of multidrug-resistant pathogens has created an urgent need for faster, more accurate, and scalable diagnostic approaches to support timely treatment and effective infection control. Artificial intelligence (AI) has emerged as a promising technology capable of transforming pathogen detection and AMR surveillance through …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 2, 2026 · pp. 26–36 Read article
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SMART HOSPITAL MANAGEMENT SYSTEM:USING CLOUD, IOT & WEB DEVELOPMENT
Abstract: The Smart Hospital Management System (SHMS) leverages cloud computing, Internet of Things (IoT) technologies, and web development to address the inefficiencies in healthcare management, particularly in the context of the COVID-19 pandemic. With India’s doctor-to-patient ratio below WHO standards, there is a need for innovative solutions to enhance patient care and hospital resource management. This system integrates SpO2, temperature, and ECG sensors with the Raspberry Pi, enabling continuous and real-time …
Published in Journal of Telecommunication, Switching Systems and Networks Read article
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Comparative Investigation on Mechanical Properties of AMCs Fabricated through Liquid and Solid-State Fabrication Process
Abstract: This current research work is primarily focused on comparative experimental study on effect of two distinct fabrication process routes i.e. liquid state and solid state process and their corresponding parameters on microstructure and micro-hardness properties of Aluminium matrix composites (AMCs). In this work, AMCs were fabricated by reinforcing Al2O3 powder materials of 5, 10 and 15 wt.% into pure Aluminum (Al) matrix phase through two distinct processes; liquid state (stir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 202–215 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article
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Texture Study on 316L Weldments after Heat Treatments
Abstract: AbstractAustenitic stainless steels are regularly used as components in many parts and vessels work in the ocean. Also, 316L stainless steel (SS) is used in nuclear reactors, located near sea. 316L SS base metal (BM) and weld metal (WM) are aged at 450°C and at 350°C for 6000 hours and texture analysis using electron backscatter diffraction (EBSD) revealed that the texture is independent of delta-ferrite content. Inverse Pole Figures (IPF) …
Published in Journal of Thermal Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article
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Implementation of K-Means clustering algorithm with technical indicators to identify Profitable stocks
Abstract: In the ever-changing world of stock market trading, accurately predicting price movements is key to maximizing profits. Technical analysis, which looks at past price data to predict future trends, provides valuable insights for investors. This paper delves into using machine learning methods, particularly the K-Means clustering algorithm, along with moving average data, to categorize daily trading patterns. By breaking down the market into clusters and examining the main patterns within …
Published in Current Trends in Signal Processing · Vol. 13, Issue 3, 2023 · pp. 8–14 Read article
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Artificial Enzymes with Nanoparticle Architecture
Abstract: Nanozymes are a novel form of synthetic enzymes that consist of nanoparticles and exhibit similar properties to natural enzymes. They are more advanced and easier to produce. These nanozymes are grouped into four categories: metal-based, metal oxide-based, carbon-based, and single-atom-based nanozymes. They can be easily prepared using simple methods and are cost-effective. Nanozymes can be affected by various factors. They are commonly employed as biosensors, in bioimaging, and as anti-microbial …
Published in Journal of Catalyst & Catalysis · Vol. 9, Issue 3, 2022 · pp. 27–34 Read article
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Influence of Mineral Admixture on Compressive Strength of Concrete
Abstract: The current paper shows the results of an investigation focused on the effect of metakaoline (MK) and silica fume (SF) on the compressive strength of concrete. The aim of the study was to investigate the effect of concrete compressive strength containing different percentage levels of metakaoline and silica fume on fresh and mechanical properties of the concrete. Pastes containing 0%, 5%, 10%, 15% and 20% of metakaoline and silica fume …
Published in Journal of Construction Engineering, Technology & Management · Vol. 2, Issue 1-3, 2012 · pp. 42–47 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 · Vol. 13, Issue 1, 2022 · pp. 28–34 Read article
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Hand-Writing Recognition Using Structural, Statistical Features
Abstract: One of the very crucial challenges in pattern recognition operations is handwriting recognition, often known as handwritten number recognition. The processing of bank checks, the sorting of postal mail, the entry of data into forms, etc. are all procedures involving number recognition. The ability to create an efficient algorithm that can retrieve handwritten integers submitted by drug users via a scanner, tablet, and other digital gadgets is at the core …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 1, 2023 · pp. 8–14 Read article
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Assessment of Operational Productivity of Worker in Composing Industry by Micro and Memo Methodology in Casting Process
Abstract: The micro and memo movement is about the technique of recording and examining the timing of primary factors of an operation. The goal is to reach the exceptional approach of performing the operation. The micro and memo action crew of approach is based totally on the notion of dividing human activity. It is divided into actions or organizations of moves in accordance to the motive for which they are made. …
Published in Journal of Industrial Safety Engineering · Vol. 9, Issue 2, 2022 · pp. 30–35 Read article
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IoT and WPAN based approach for Water Quality Monitoring of Fish Farm
Abstract: AbstractTo make profit in fish farming, it is required to increase production and quality of fish. For this, it requires fresh water. As we know contaminated water cannot produce good quality of fish. Therefore it is required to monitor the quality of water. This paper proposed internet of things (IoT) based system for monitor the quality of water for pond and tank with respect to fish farming. Sensor and Inlet …
Published in Journal of Instrumentation Technology & Innovations · Vol. 7, Issue 3, 2017 · pp. 16–23 Read article
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Analysis of the Extent of Patients’ Rehabilitation from Knee Injuries or Surgery using Recovery Indices
Abstract: Many major knee surgeries or injuries have long rehabilitation periods, during which the patients may have abnormal gait cycles. The patient transitions to independent exercises performed at home, which are crucial to recovery. Doctors need to have a means to closely track patients exercises for proper recovery. This research utilizes statistical analysis tools, which is applied to analyze gait parameters of patients undergoing the rehabilitation process at different stages of …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 3, 2017 · pp. 27–40 Read article
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Few Aspects in Deep Drawing Process
Abstract: The process in which a punch forces a flat sheet metal blank into a die cavity is known as deep drawing. Deep Drawing (DD) is one of the sheet metal forming processes widely used in automobile, aerospace, electronics and allied industries to produce the hollow parts. Presently, the conventional deep drawing (CDD) operation is carried out at room temperature in industries. Although, CDD provides a great potential application for the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 5, Issue 3, 2015 · pp. 31–35 Read article