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1518 articles for “Computational Data”
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Productive Performance of Pure Friesian Cows Raised under Conditions of River Nile State, North Sudan
Abstract: Data utilized in this study were obtained from the farm records of Al-Fayet project. The dairy farm is located in Gandatow, Shendi, River Nile State, as the first farm kept pure Friesian cattle. The main objectives of this study were to evaluate the productive performance of Friesian dairy cows and investigate the factors affecting those productive traits. A total of 138 performance records of Friesian cattle were used; covering the …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 7, Issue 1, 2018 · pp. 26–32 Read article
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Harnessing Bacteria for Next-Generation Data Storage Technologies – A Review
Abstract: The exponential increase in global digital information has created a pressing need for storage technologies that are more durable, compact, and sustainable than conventional electronic media. While hard drives, solid-state drives, and cloud-based systems have transformed information management, they face severe limitations related to storage density, energy consumption, maintenance costs, and long-term preservation. Researchers have, therefore, begun exploring biological systems as alternative information storage platforms. Among these, bacteria have emerged …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 · pp. 1–9 Read article
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Progress and Uses of Satellite Remote Sensing
Abstract: Satellite remote sensing has become an important tool for watching, studying, and controlling both natural and man-made systems on Earth. Satellite sensors collect electromagnetic radiation that is reflected or transmitted from the Earth's surface. This data is needed for environmental monitoring, resource management, and hazard assessment. Recent improvements in sensor resolution, data processing techniques, and cloud-based platforms have made remote sensing applications much more accurate and easier to use. The …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 8–19 Read article
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Plain Text Encryption and Decryption Time Comparison Using ECC
Abstract: The increased use of computer communication systems has increased risk of data theft. Cryptography is the most important aspect of communication, security and becoming an important building block for computer security. Elliptic curve cryptography is one of the most widely used public key algorithms for secure exchange of information. In this paper, the authors present time comparison of encryption and decryption using ECC for text messages.
Published in E-Commerce for Future & Trends · Vol. 1, Issue 1, 2014 · pp. 11–14 Read article
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A Comprehensive Review on the Structural and Implementation Redesigns of the Data Structural Support to the Memory Management Techniques in Operating System
Abstract: The power of system memory usage lies in the prospect of designing data structures which supports the management of huge data formations. The effective software support to these structures paved the way to miraculous advancements in the area of system memory management. Even though many data structures were designed for memory management, the Page Tables and the Translation look aside Buffers (TLB) are the major backbone structures in the area …
Published in Journal of Operating Systems Development & Trends · Vol. 2, Issue 3, 2015 · pp. 14–22 Read article
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Context-Awareness: A Survey on Internet of Things
Abstract: As we progress into the Internet of Things (IoT), the amount of sensors installed across the planet is rising at a fast rate. Market research has shown a substantial rise in sensor installations during the last decade and has expected a significant increase in the growth rate in the future. These sensors constantly produce massive quantities of data. However, we need to consider this in order to add meaning to …
Published in Trends in Electrical Engineering · Vol. 10, Issue 3, 2020 · pp. 27–38 Read article
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Applications of Machine Learning Algorithms in Health Data Science (HDS) for Next Research Directions: A Survey Report
Abstract: At present time, data science is the big trend in computer science. The functioning of this technology is purely based on other advanced technology known as machine learning (ML). Data science and ML are subsets of artificial intelligence (AI). When a process of data science is used in healthcare systems, the new system is known as health data science (HDS). HDS is a branch of data science used to handle …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 1, 2024 · pp. 16–21 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Integrating Genetic Algorithms with Lean Manufacturing for Enhanced Production Efficiency
Abstract: Lean manufacturing is a well-established philosophy focusing on the systematic reduction of waste and the ongoing development of value supplied to the customer. It emphasizes efficiency, quality, and adaptability through ideas such as just-in-time production, continuous improvement (Kaizen), and value stream optimization. However, the increased complexity of modern production systems, driven by global rivalry, product variety, and rapid technology innovation, has shown the limitations of classic lean tools in achieving …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 38–43 Read article
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CMOS-Based Process-Scalable Analog Circuits for Machine Learning: A Comprehensive Review and Future Directions.
Abstract: Analog computing techniques are gaining attention for machine learning (ML) applications due to their ability to reduce computational complexity. Continuous operations such as addition and subtraction offer a simpler and more efficient approach compared to probabilistic product decoding, which can be sensitive to noise and inconsistent measurements. This paper presents a simulated VLSI implementation of a broadcast edge connection, independent of the MOS component model, along with experimental results. The …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 8–17 Read article
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Mood Mate: A Solid-State Edge-AI System for Real-Time Facial Emotion Recognition
Abstract: Recent progress in solid-state electronics and embedded vision systems has enabled real-time emotion-aware applications at the edge. This paper presents MoodMate, a solid-state edge-AI framework for real-time facial emotion recognition using camera-based sensing and embedded processing. The proposed system integrates a solid-state image sensor with an AI- driven emotion classification pipeline optimized for low-latency and resource-constrained environments. Intelligent, emotion-aware apps can now be deployed right at the network edge thanks …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 24–30 Read article
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Green and Edge-Aware Computing: Rethinking Cloud Infrastructure for Sustainability
Abstract: Cloud computing has transformed the way organizations access and manage information technology resources, providing flexible, scalable, and cost-efficient services that support today’s data-driven world. Despite these advantages, the rapid expansion of large-scale cloud infrastructures has resulted in rising energy consumption, significant heat generation, and a growing environmental footprint. This research focuses on advancing green cloud computing by examining methods that reduce power usage while maintaining high performance. Key strategies include …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 17–24 Read article
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Principal Component Analysis for Outlier Detection
Abstract: Principal Components Analysis (PCA) is one of the well-known and frequently used multivariate exploratory data analyses. PCA is concerned with analyzing and understanding data in high dimensions, that is to say, PCA method analyzes data sets that represent observations which are identified by several dependent variables that are inter-correlated. Multidimensional scaling (MDS) is a technique that makes a map displaying the comparative attitudes of a number of objects or cases, …
Published in Research & Reviews : Journal of Statistics · Vol. 7, Issue 1, 2018 · pp. 62s–68s Read article
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AI-Driven Malware Detection in Linux: A Survey of Techniques, Challenges, and Future Directions
Abstract: With the rapid growth of Linux-based systems across cloud computing, Internet of Things (IoT) devices, servers, and embedded platforms, Linux environments have increasingly become attractive targets for sophisticated malware attacks. This survey provides a comprehensive review of Artificial Intelligence (AI)-based approaches for detecting Linux malware, focusing on research published between 2022 and 2026. More than 40 different detection methodologies are examined, covering both traditional Machine Learning (ML) techniques, such as …
Published in Journal of Operating Systems Development & Trends · Vol. 13, Issue 2, 2026 · pp. 7–14 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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Revolutionizing Petrology and Mineralogy: The Study of AI and Advanced Sensor Technologies
Abstract: Petrology and mineralogy are fundamental to understanding Earth's intricate processes, from crustal evolution to economic resource formation. However, traditional methods, while precise, are often laborious, time-consuming, and occasionally subject to interpretive bias. This abstract explores the transformative potential of integrating cutting-edge Artificial Intelligence (AI) and advanced sensor technologies to revolutionize data acquisition, analysis, and interpretation in these critical geosciences. Advanced sensor technologies, including high-resolution spectral imaging (hyperspectral, Raman), automated X-ray …
Published in International Journal of Minerals · Vol. 2, Issue 2, 2025 · pp. 1–11 Read article
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Advanced Manufacturing Systems Using Privacy Preserving Cloud Data Access
Abstract: Every project is feasible if given unlimited resource and infinite time. Unfortunately, thedevelopment of computer based systems is more likely to be plagued by scarcity of resourcesand difficult delivery of data it is both necessary and prudent to evaluate the feasibility of aproject at the earliest possible time. Precious time and money can be saved and untoldprofessional embarrassment can be averted if an ill-conceived system is recognized early inthe definition …
Published in Journal of Control & Instrumentation · Vol. 11, Issue 1, 2020 · pp. 1–11 Read article
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Microcontroller-based Temperature Controlling and Monitoring System with Graphical user Interface
Abstract: Temperature is one of the most important process variables in the process control. Process control is an efficient expression of improving the operation of a process, the productivity of a plant, increase flexibility and the quality of products. The accurate measurement of temperature is not an easy task. The aim of this work is to develop a low-cost and flexible temperature controller for controlling and monitoring the temperature. The purpose …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 3, 2013 · pp. 7–16 Read article
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Virtual Machine Cost & Computing comparison between cloud service
Abstract: Cloud computing has revolutionized enterprise IT infrastructure with virtual machines forming the cornerstone of Infrastructure as a Service deployment. This study provides a detailed comparative evaluation of virtual machine pricing and computational performance among three leading cloud computing platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). Through quantitative analysis of current pricing data from September 2025, independent performance benchmarks from Cockroach Labs 2021 Report, and market …
Published in International Journal of Mobile Computing Technology · Vol. 4, Issue 2, 2026 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