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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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Digital Agriculture Schemes in Kerala: Risk Analysis and Multi-Layered Security Framework
Abstract: Kerala’s agricultural sector is undergoing rapid digital transformation, driven by initiatives such as the e-Krishi platform and the growing adoption of Internet of Things (IoT)–enabled precision farming technologies. While these developments promise improved productivity, transparency, and data-driven decision-making, they also introduce significant cybersecurity and data governance challenges that cannot be overlooked. This paper critically examines the emerging security, privacy, and operational risks associated with the digitization of agricultural services in …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 23–30 Read article
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IoT-Enabled Remote Patient Monitoring System Using Wearable Sensors
Abstract: In recent years, the Internet of Things (IoT) has revolutionized healthcare by enabling seamless connectivity between patients, medical devices, and healthcare professionals. The increasing demand for continuous health monitoring and early disease detection has driven the development of IoT-based remote patient monitoring systems. This paper presents an IoT-enabled framework that integrates wearable physiological sensors, wireless communication modules, and cloud- based analytics to facilitate real-time health tracking. The proposed system continuously …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 · pp. 1–14 Read article
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Real-time Water Quality Analysis Using Fuzzy Logic
Abstract: Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 01–11 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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H2 Production by Methanol Steam Reforming over Copper Impregnated Anodized Aluminum Oxide (AAO)
Abstract: Hydrogen production by methanol steam reforming (MSR) is easy and simple as compared to other reforming methods using fossil fuels such as methane steam reforming. The catalysts for MSR are well developed and available commercially. When constructing a small or micro reformer, the catalyst often needs to be coated on the wall of the metal substrate. In this case, the bonding between the metal surface and the catalyst layer must …
Published in Journal of Catalyst & Catalysis · Vol. 1, Issue 1, 2014 · pp. 23–28 Read article
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Fabrication of MOF5 -GO nanocomposites by tailoring graphene oxide
Abstract: The present paper focusses on the synthesis of graphene oxide and its nanocomposite with metal organic framework (MOF-5). Graphene oxide (GO) was prepared using modified hummer’s method with different concentrations of oxidizing agent to vary the presence of functional group on the surface of GO. The presence of functional group plays a crucial role in determining the interactions between GO and MOFs. To confirm the presence of different functional groups …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 101–114 Read article
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Analysis of fabrication methods on Mg-based MMCs –A Review
Abstract: Magnesium is an essential material for resolving the applications in automotive applications such as in the use of gearbox bearings, casting dies etc. In the current studies, various researchers have made efforts to improvise the casting methods and to invent new fabrication procedures for Mg metal matrix composites (MMCs). This paper shows a basic study of fabrication methods of Mg-based MMCs. Such as pressureless infiltration, mechanical alloying, stir casting etc. …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 101–108 Read article
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Trapeza Intelligence: Transforming the Information
Abstract: ABSTRACTInformation is the heart of every business. For effective decision making, information management is required so that pertinent information is available from time to time. Nowadays, the banking and financial service industry is rapidly changing due to the factors like globalization, mergers and acquisitions and technological innovations. With information pouring into the organization, banks are constantly challenged to turn vast data stores into actionable insight. This can be achieved with …
Published in Current Trends in Information Technology · Vol. 2, Issue 3, 2012 · pp. 29–37 Read article
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Secure Image Backup System
Abstract: The primary reason for developing a backup system is to save files that are important. This is done so that in case if system crashes due to any reason such as hard drive failure or natural calamities, the files can be retrieved later easily. Security is one of the essential/crucial factors when it comes to data, as this data might contain confidential as well as important information. Hence, the backup …
Published in Journal of Communication Engineering & Systems · Vol. 12, Issue 1, 2022 · pp. 1–6 Read article
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Will Artificial Intelligence Open a New Door in Anaesthesia Practice?
Abstract: The research used big data obtained from Electronic Medical Records (EMR), Computerised Physician Order Entry (CPOE) systems and picture archiving and communication systems (PACS). The traditional techniques of statistics are difficult to apply on large data or big data of electronic medical records (EMR) due to vastness or complexity. The artificial intelligence technique is valuable means to handle such data of EMR. Other than artificial intelligence, machine learning is very …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 9, Issue 1, 2020 · pp. 29–37 Read article
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MedVerse AI: An Intelligent Digital Health Platform for Patient-Centric Healthcare and Proactive Disease Prediction
Abstract: The rapid digitization of healthcare has led to an unprecedented growth in medical data, ranging from diagnostic images and laboratory reports to electronic health records and clinical notes. Despite this abundance, patients and healthcare providers often struggle to extract meaningful insights due to data complexity and fragmentation. MedVerse AI proposes an intelligent digital health platform that unifies medical image analysis, clinical report interpretation, real-time interaction, and predictive disease analytics into …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 4, Issue 2, 2026 · pp. 1–7 Read article
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Review on Machine Learning Techniques for Heart Failure Analysis in Health Industries
Abstract: There are few bodily components as crucial as the heart. It aids in the filtration and distribution of blood to every area of a body. The world's biggest cause of death is heart disease. It has been reported that symptoms include breathing difficulties, fast heartbeat, and chest discomfort. They analyze this data on a regular basis. This review begins with a brief introduction of cardiac disease and the present methods …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 1, 2024 · pp. 29–43 Read article
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Role of Blockchain Technology in Health Record Management
Abstract: Maintaining thorough medical records is essential to raising a healthy population in the fast-paced world of global development. Intimidating data breaches have been the consequence of the traditional centralized strategy to maintaining health records, yet it has proven vulnerable. The 2017 Ponemon Cost of Data Breach Study estimated that each compromised healthcare record could incur a significant cost of approximately $380. Regrettably, the 2016 Breach Barometer Report revealed that case …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 1, 2024 · pp. 29–35 Read article
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Corrosion and Corrosion Protection of Cast iron due to Bio-organism
Abstract: Cast iron is a high tensile strength metal. It is generally used for making tools, pipe fitting, electrical fitting equipment and rail track. It interacts with corrosive substances to develop electrochemical cell on their interface. Corrosive substances are acids, bases, salts, bio-wastes, particulates and pollutants. These substances produce hostile medium for materials. These harmful wastes discharge by industries, households, agricultural, urbanization, development of infrastructure, construction works, thermal power stations, hydropower, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 2, 2025 · pp. 105–114 Read article
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Review article on Quality Control in Clinical Trials
Abstract: Quality control (QC) is a critical component in the conduct of clinical trials, ensuring the accuracy, reliability, and credibility of data collected throughout the study. It encompasses a systematic set of procedures designed to monitor trial conduct and data integrity, thus safeguarding the rights, safety, and well-being of participants. This review explores the principles, implementation, and evolving practices of quality control in clinical trials, highlighting its importance across all phases …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 01–07 Read article
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Disease Prediction Using Ensemble Learning Models: A Comprehensive Approach
Abstract: In recent years, ensemble learning techniques have become pivotal in advancing predictive analytics within healthcare, particularly for early disease detection. The inherent variability and complexity of medical data, often characterized by high dimensionality, class imbalance, and noise, make it challenging for standalone classifiers to maintain high predictive accuracy. Ensemble learning, by integrating multiple models through bagging, boosting, or stacking, offers a more robust and generalizable approach. This study explores the …
Published in Journal of Communication Engineering & Systems · Vol. 15, Issue 3, 2025 · pp. 26–33 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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A MERN-Based Crime Management System: Enhancing Crime Reporting and Law Enforcement Collaboration
Abstract: In the modern digital age, efficient crime management is essential for safeguarding the public and upholding law and order. This project introduces the development of a Crime Management System (CMS) built with the MERN stack (MongoDB, Express.js, React, Node.js) to streamline crime reporting, monitoring, and coordination among law enforcement agencies. The CMS is designed to streamline the processes of crime reporting, record management, and data analysis, addressing inefficiencies in traditional …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 40–52 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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A Brief Review on Interfaces of Copper Welded to Different Materials
Abstract: In engineering applications, three metals with high conductivity are primarily used such as copper (Cu), aluminium (Al), and silver (Ag). Each has its unique set of properties that affect specific engineering applications. Infact the choice of conductor depends on a mixture of cost, technical parameters, and environmental conditions. Among these, Copper is widely valued in engineering applications due to its antimicrobial property, excellent electrical (about 100% IACS) and thermal conductivity, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 23–36 Read article