Search
1975 articles for “font meta- data” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
Nothing matched all of your words, so these match any of them.
-
Big Data Analytics in Healthcare: Revolutionizing Patient Care with IoT
Abstract: Patient care is undergoing a transformation thanks to the Internet of Things (IoT) and Big Data Analytics, which are enabling more accurate, proactive, and customized medical interventions. This paper explores how the integration of IoT devices with advanced data analytics can transform healthcare delivery. By collecting and analyzing vast amounts of real-time data from wearable devices, remote monitoring systems, and smart medical equipment, healthcare providers can gain valuable insights into …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 Read article
-
Data Recovery Using Brute Force Algorithm: A Review
Abstract: This article delves into the intriguing field of data recovery, with a particular emphasis on the brute force approach, a powerful yet frequently underappreciated method. We begin by exploring the evolution of data recovery techniques since the 1970s and 1980s, examining traditional methods used to retrieve lost or corrupted data. Following this historical perspective, the article provides a brief overview of various methodologies employed in data recovery, including techniques that …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 10–16 Read article
-
Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
-
Li-Fi Visible Light: Data Transfers via LED Technology
Abstract: Li-Fi (Light Fidelity) is a cutting-edge technology that uses visible light to communicate data wirelessly, like how Wi-Fi uses radio waves. Light Emitting Diodes (LEDs) are the principal source of light in this system for information transmission. To transmit data, the LED light blinks on and off very quickly, quicker than our eyes can detect. After then, a sensor records these light signals and transforms them back into data that …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 1, 2025 · pp. 1–7 Read article
-
Data Mining for E-Commerce and Social Media: Insights and Future Research Directions
Abstract: The fast expansion of e-commerce and social media has heralded a new era of data-rich settings, with enormous quantities of user interactions, preferences, and transactions generated on a daily basis. Data mining has developed as a critical strategy for leveraging big datasets, allowing businesses to gain concrete knowledge and drive decision-making. Data mining in e-commerce improves operational efficiency and user pleasure by allowing for personalized recommendations, consumer segmentation, fraud detection, …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 1, 2025 · pp. 14–23 Read article
-
Healthcare IT Innovations: Blockchain Technology for Healthcare Data Security and Privacy
Abstract: The healthcare sector has undergone a significant digital transformation, leading to the generation and sharing of vast quantities of sensitive medical data. While this digitization has improved patient care and outcomes, it has also introduced critical challenges related to data security and privacy. The increasing rate of data breaches in healthcare puts patient confidentiality at risk, mainly leading to identity theft, financial fraud, and loss of public trust in healthcare …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 01–12 Read article
-
IoT Based Wireless Data Monitoring System with TFT LCD
Abstract: This study introduces the design, development, and implementation of an Internet of Things (IoT)-based wireless data monitoring system that utilizes a Thin-Film Transistor Liquid Crystal Display (TFT LCD) for real-time visualization. The system is engineered to collect, transmit, and display sensor data wirelessly, making it suitable for a range of practical applications such as industrial automation, healthcare monitoring, and environmental observation. The key goal of this work is to enhance …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 10–18 Read article
-
Entropy, Symmetry, and Data Fusion: Emerging Methods in Multi-Objective Decision- Making and Smart Systems
Abstract: In the era of intelligent technologies and data-driven systems, multi-objective decision-making (MODM) has become an essential aspect of managing complex environments such as smart cities, autonomous systems, and cyber-physical networks. As decision-making scenarios become increasingly dynamic and uncertain, there is a growing need for advanced methodologies that can handle diverse objectives, conflicting constraints, and incomplete information. This review highlights the emerging role of entropy, symmetry, and data fusion as foundational …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 2, 2025 · pp. 44–49 Read article
-
A Review of Locking Protocols for Concurrency Control in Parallel Databases
Abstract: In modern database systems, many transactions may run at the same time. When several users try to access the same data or update the data simultaneously, then it creates a problem such as inconsistency data, lost updates or misinformation and may lead to conflicts between the transactions and deadlocks. To avoid these types of issues and maintain the correctness of the database, concurrency control protocols are mainly used. This paper …
Published in Journal of Advanced Database Management & Systems · Vol. 13, Issue 2, 2026 Read article
-
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
-
Crop Metabolism: A Biochemical Perspective on the Synthesis of Key Biomolecules and Structural Adaptations
Abstract: Crop metabolism involves intricate biochemical pathways that govern the biosynthesis of essential biomolecules, ensuring growth, development, and adaptability in various environmental conditions. Key processes include the synthesis of nucleic acids, amino acids, proteins, carbohydrates, organic acids, lipids, and natural products, each playing vital roles in maintaining cellular homeostasis. Nucleic acids drive genetic information storage and transfer, while amino acids and proteins form the backbone of enzymatic and structural cellular functions. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 26–31 Read article
-
A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
-
Study on the Mechanical Properties of Additively Manufactured Metallic Structures
Abstract: A revolutionary technology that has made it possible to produce intricate metallic structures with customized mechanical properties is additive manufacturing, or AM. An extensive analysis of the mechanical properties of metallic components made using additive manufacturing processesis presented in this paper. The study explores how material choice, post-processing techniques, and process parameters affect the mechanical behavior of AM metallic structures. By examining tensile strength, fatigue characteristics, hardness, ductility, impact resistance, …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 3, 2023 · pp. 1–6 Read article
-
Web Mapping Comparison of Open Layers Map and Google Map: A Web GIS based Big Spatial Data Approach
Abstract: Big data sharing and manipulation of geospatial data such a GIS web-based system has become a challenge. Due to the rapid development technology in web based geographical information systems, the uses of web based geospatial application, effective utilization and representation varies from Geo-spatial capabilities and functionalities. In this paper, a web GIS framework was explored to provide a practical solution for the display and manipulations of geospatial data, visualization of …
Published in Journal of Geotechnical Engineering · Vol. 2, Issue 3, 2015 · pp. 41–45 Read article
-
Data Transmission Using Laser
Abstract: This paper proposes a model to transmit data using raspberry pi, Laser light and Light Detecting Resistance(LDR) sensor. The model takes the input as a file and then the data is encoded into binary, then encrypted . Now the encrypted data is transmitted to the receiver side using a Laser which is detected by the LDR sensor. After that the received data is decrypted and decoded into the required file. …
Published in Journal of Microwave Engineering and Technologies · Vol. 7, Issue 3, 2020 · pp. 18–23 Read article
-
Fatigue Test on Cost Effective Aluminium Metal Matrix Composite Prepared from Discarded Toner Powder and Coconut shell Ash Particles
Abstract: AbstractAs there is an increasing demand for low cost reinforced composite materials in various industrial applications, in this work Aluminium Metal Matrix Composite was prepared by reinforcing cost effective reinforcements like discarded tonner powder particles and coconut shell ash. Aluminium 2024 was taken as the base matrix for preparing the composite as it is widely used in automobile industry. The samples taken for the investigation were prepared by two step …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 5, Issue 3, 2018 · pp. 15–20 Read article
-
Experimentally New Technique System to Measure Contact Angle of Metal/Melt System in Simple Way
Abstract: In this research, easy and new technique system to measure contact angle of metals/metals systemwas introduced. The new technique system used a simple component in direct procedure to foundcontact angle of solder on metals substrate in wide range of drops volumes. Solder was applied intoaluminum and copper substrate metals using control heating temperature of the substrate. Then, theresults were analyzed by image J program to know the accuracy of the …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 8, Issue 1, 2021 · pp. 38–43 Read article
-
Enhancing security and Efficiency in cloud Data De-duplication through re encryption
Abstract: Data de-duplication technologies have been widely used by commercial cloud storage providers since they are helpful and essential in addressing the growing data expansion. To enhance and guarantee the security of sensitive information provided by users in the outsourced storage mode, numerous secure data de-duplication techniques have been developed and employed in diverse settings. Several scholars have been drawn to secure and efficient re-encryption for encrypted data de-duplication systems, and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 1–8 Read article
-
Evaluation of Real Time Data Acquisition of Temperature for Resistance Spot Welding
Abstract: Resistance spot welding is a popular metal joining process which is widely used in automobile industry, household and domestic appliances manufacturing industry and fabrication industry like air craft manufacturing industries [1]. Experimental investigation has been carried out on inner and outer sleeve which is used in stove manufacturing industry. Material taken is stainless steel SS304 for experiment having thickness 0.5 mm. Experimental investigation of real time temperature measurement and thermal …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 6–10 Read article
-
Evaluation of Ensemble and Deep Learning Classifiers on CSE-CIC-IDS2018 Dataset for Intelligent NIDS
Abstract: Network Intrusion Detection System (NIDS) plays an active role in preventing cyberattacks by early detection of threats before it really starts affecting targeted information services. Over the years, many intrusion detection system (IDS) have been developed applying signature or rule-based approach to prevent unauthorised access of network or computer devices. However, ever growing landscape of cyberattacks in recent years has motivated present day researchers to design and develop more accurate …
Published in Current Trends in Information Technology · Vol. 13, Issue 1, 2023 · pp. 1–11 Read article