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1885 articles for “data processing’s” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Design and Implementation of an IoT-based Traffic and Parking Management System Integrated with GIS for Urban Environments
Abstract: As urbanization accelerates, managing traffic flow and parking availability has become increasingly challenging. This article presents the design and implementation of an internet of things (IoT)-based traffic and parking management system integrated with geographic information systems (GIS) to address these challenges in urban environments. The proposed system utilizes a network of IoT sensors to monitor traffic flow, congestion levels, and parking space availability in real time. The data collected by …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 23–32 Read article
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The Evolution of Student Monitoring Systems in School Buses: A Detailed Review
Abstract: In modern educational institutions, ensuring the safety and well-being of students during transportation is paramount. To address this, we propose a comprehensive Student Monitoring System for buses, designed to enhance safety, efficiency, and communication between stakeholders. The system utilizes advanced technologies such as GPS tracking, RFID tags, and real-time data processing to monitor students' location, track bus routes, and provide instant notifications to parents and school administrators. By integrating these …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 1–6 Read article
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Advancements in Analytical Techniques and Validation Methods for Pharmaceutical Tablet Formulations Using HPTLC
Abstract: High Performance Thin Layer Chromatography (HPTLC) is a versatile analytical technique which has been effectively used for pharmaceutical quality control and cost effectively, rapidly, and high throughput analyzed tablet formulations. HPTLC is different from traditional chromatographic methods as multi sample analysis is possible in one run with low consumption of solvent, which are principles of green analytical chemistry. But existing HPTLC is limited in sensitivity, resolution and reproducibility and these …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 3, 2026 Read article
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HCI: A Systematic Review of Trends, Challenges, and Future Directions
Abstract: The field of human-computer interaction (HCI), which connects people and technology, is becoming increasingly important and developing quickly. By emphasizing intuitive interaction, user-focused design, and overall system usability, it contributes to the development of more intelligent, responsive, and human-centered systems. This thorough analysis explores the many uses of HCI, such as mobile and multi-screen platforms that demand smooth, cross-device interactions and immersive settings like the Metaverse, where users interact within …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 12, Issue 3, 2025 · pp. 10–16 Read article
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FPGA Enabled Flight Control Unit
Abstract: The FPGA flight controller revolutionizes drone technology with unmatched stability and precision. Integrated with an IMU and advanced sensors like the MPU 6050, it ensures accurate positioning critical for reliable UAV operation. Its efficient real-time data processing and seamless sensor communication enhance performance and reliability across various conditions. This advancement sets a new standard in UAV technology, suitable for applications ranging from surveillance to disaster relief. An aircraft's flight control …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 19–25 Read article
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Importance of Thesaurus in Natural Language Processing for Scholarly Data Extraction
Abstract: The exponential growth of scholarly literature needs advanced methods for efficient data extraction and knowledge discovery. Natural Language Processing (NLP) has emerged as a crucial technology in automating the analysis and organization of academic texts. Among various linguistic resources, thesauri serve as important tool for enhancing semantic understanding by providing structured vocabularies, synonyms, and hierarchical relationships between terms. This paper examines the importance of thesauri in enhancing NLP-based scholarly data …
Published in Emerging Trends in Languages · Vol. 3, Issue 1, 2026 · pp. 19–24 Read article
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Shell Programming with Sensor Systems and Applications for Human Cognition
Abstract: Shell programming provides a flexible interface to sensor systems, enabling robust scripting for real-time data acquisition and processing, as well as integration with perception components. Such sensors have human analogs—tactile, physiological, and behavioral—and are increasingly embedded within health, mobile, and smart environments to capture fine-grained details of human cognition. Using shell scripts, the system can automatically collect sensor data, fuse multimodal data, and perform adaptive behavioral monitoring, allowing researchers and …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 41–45 Read article
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XML Query Optimization for Improvement of Data Warehouses Information Processing
Abstract: XML data warehouses give decision-support systems a chance to use complicated data by giving them a place to start. But native-XML database management systems are slow right now, so it is important to look into ways to make them faster. This study presents two strategies to think about. To start, we suggest using a link index that was made with the fact that XML warehouses have a lot of dimensions …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 1, 2023 · pp. 40–53 Read article
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Synergistic Integration of MEMS and Spintronics for Precision Data Analytics in Cheminformatics
Abstract: The transformational potential of merging spintronics and Micro-Electromechanical Systems (MEMS) technologies in cheminformatics is investigated in this work. Recent advancements in MEMS, particularly through the use of microbeam sensors and accelerometers, enhance the precision of data collection and processing, especially in biomedical applications such as drug delivery systems and chemical sensing. The synchronization of oscillations in MEMS devices leads to improved reliability and data accuracy, enabling the development of sophisticated …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 20–26 Read article
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Capability Database of Injection Molding Process—Requirements Study for Wider Suitability and Higher Accuracy
Abstract: AbstractGenerally, there is little disagreement that an early consideration of dimensional accuracies achieved in production is conducive to the success of development of injection molding products. While different process capability databases (PCDBs) provide guidance for a meaningful estimation of the expected part variation, the adoption of corresponding guidelines and (proprietary) software tools seems to be, however, limited in industrial practice so far. This research paper addresses the gap between the …
Published in Journal of Polymer & Composites · Vol. 5, Issue 2, 2017 · pp. 18–28 Read article
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The Role of IoT in Shaping Smart Cities with Architectural Perspective
Abstract: The integration of IoT in smart cities is revolutionizing the development of cities through interconnected systems that enhance efficiency, sustainability, and quality of life. Real-time data collection,communication, and processing are facilitated by IoT technology through its layered architecture:sensing, network, and application layers. These interlinked ecosystems help solve such serious problems of urbanization as the efficient allocation of resources, smooth flow of traffic, efficient utilization of energy, and the handling of …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 1–10 Read article
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Transforming Healthcare Through Big Data: Applications, Challenges, and Future Perspectives
Abstract: Healthcare institutions produce substantial amounts of information through electronic health records, laboratory systems, medical imaging technologies, patient monitoring devices, and various digital healthcare platforms. Managing and interpreting these continuously growing datasets through conventional approaches can be difficult and time-consuming. Big Data technologies offer advanced methods for storing, processing, and analyzing healthcare information efficiently, enabling healthcare professionals to obtain valuable insights for clinical and administrative purposes. This review explores the growing …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 1–9 Read article
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A Shell Script Compiler in Linux and Unix
Abstract: A command programming language that provides an interface to the UNIX operating system is known as the UNIX shell. It contains some of the mechanisms found in algorithmic languages, such as passing control flow primitives, variables, and parameters. Configurations such as while, if, for, and case are available. Two-way communication is possible between the shell and the command. String value parameters (usually filenames or flags) can also be passed to …
Published in Journal of Advances in Shell Programming · Vol. 8, Issue 2, 2021 · pp. 19–25 Read article
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A Meta-Analysis of the Role of Serverless Computing Models in Modern e-Healthcare Systems
Abstract: The integration of serverless computing models in e-healthcare systems represents a paradigm shift in healthcare technology infrastructure. This meta-analysis examines the role, benefits, and challenges of serverless architectures in modern healthcare applications, focusing on studies published between 2019 and 2025. Serverless computing offers unprecedented scalability, cost-efficiency, and operational flexibility, making it particularly suited for healthcare applications handling variable workloads such as medical imaging processing, real-time patient monitoring, and electronic health …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 3, 2025 · pp. 49–58 Read article
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Time Series Forecasting Based on PyAF and fbProphet
Abstract: Time series forecasting is the technique of predicting future events using previous data. Time series data includes information that is collected and recorded at regular intervals, such as daily stock prices, monthly sales figures, or hourly temperature readings. The purpose of time series forecasting is to use previous data to create accurate forecasts about the future values of a given variable. This can be beneficial for a range of applications, …
Published in International Journal of Information Security Engineering · Vol. 1, Issue 1, 2023 · pp. 32–36 Read article
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Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article
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A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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Unveiling Cloud Computing’s Security Challenges.
Abstract: As organizations increasingly embrace cloud computing, concerns surrounding security threats in the environment have become more prevalent. This white paper alms to address these concerns by offering a comprehensive analysis of the various security threats that can affect cloud computing. Our research delves into the intricacies of virtualized infrastructure, examining potential issues and vulnerabilities that arise in this context. We investigate the challenges associated with securing the software platform, including …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 1, 2023 · pp. 37–44 Read article
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Research Survey of Data Mining with Processing in Different fields for Next Research Directions
Abstract: Data mining (DM) is a method used for mines the different category of related data in different research fields. This is a set of different techniques like classification, clustering, prediction, outlier analysis; decision making, regression etc used for gain the knowledge for intelligence computing. In this review, explain the different research papers, architecture with components of DM, processing of DM and applications of DM in various fields for next research …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 5–9 Read article
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Data Science: Domains, Process, Roles and Responsibilities
Abstract: The study of information retrieval and analysis, or data science, tries to identify information and correspondence hidden in raw, defined information. To extract useful information from data, data science therefore combines programming expertise with understanding of mathematics and statistics. In the field of data science, machine learning algorithms are employed to handle various types of input, including numerical, textual, visual, and auditory data. Therefore, algorithms perform certain tasks related to …
Published in Journal of Advanced Database Management & Systems · Vol. 10, Issue 2, 2023 · pp. 29–35 Read article