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1481 articles for “Computational Data”
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An approach to adding knowledge constraints to a data-driven generative model for Carnatic rhythm sequence
Abstract: Computational models for generative music have been a recent trend in AI based technology developments. However, an entirely data-driven strategy often falls short of capturing the naturally occurring rhythmic grouping. Guedes et al. [1,2] had proposed dictionary based and stroke-grouping based approaches to generate novel sequences in the 8-beat cycle of Aditala. More recently an attempt of incorporating arithmetic partitioning, as conceived by performers, was made [3] to get rid …
Published in Trends in Electrical Engineering · Vol. 9, Issue 3, 2019 · pp. 11–17 Read article
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A Study on Smart Healthcare Innovations
Abstract: The desire for effective, patient-centred solutions and the rapid growth of technology are driving forces in the healthcare industry. The term "smart healthcare innovation" refers to a broad category of approaches, tools, and procedures that are intended to improve patient outcomes, optimize resource use, and enhance overall healthcare delivery. These innovations integrate cutting-edge technologies such as artificial intelligence (AI), the Internet of Things (IoT), wearable devices, big data analytics, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 63–68 Read article
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Cryptographic and Software Data Protection Information
Abstract: In this paper problem of Cryptographic and software data protection, key management, and software data protection information has been considered. This is important problem in the field of protection information. Cite this ArticleZhangisina G.D., Ryskeldinov E. Cryptographic and Software Data Protection Information. Journal of Mobile Computing, Communications & Mobile Networks. 2015; 2(2): 20–22p.
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 2, Issue 2, 2015 · pp. 20–22 Read article
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Computer Programming Tool for the Design of Concrete Mixes for Pavement Quality Concrete Roads in India
Abstract: Basically concrete is a mixture of cement, sand, aggregates and water. These constituents bonds together and hardens with time and give strength to structure. The proportioning of concrete mixes consists of determining relative quantities of materials to be used. Thus to calculate proportions of various components of concrete several mix calculations are required to be performed. Consequently, it is not possible to select at once the exact mix proportion required …
Published in Trends in Transport Engineering and Applications · Vol. 4, Issue 2, 2017 · pp. 30–38 Read article
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Scheduling Algorithms in Cloud Computing: A Review
Abstract: Abstract: Cloud computing is one of the emanate computer technologies in information technology that provide shared resources like databases, storage, servers, and software to the users according to need on rental basis, which results in no initial setup cost. Scheduling is one of the critical aspects that influence the system performance. Scheduling algorithm is said to be efficient if it minimizes the completion time of the task, with limited resource …
Published in Journal of Advanced Database Management & Systems · Vol. 6, Issue 3, 2019 · pp. 16–20 Read article
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The Evolution and Impact of Numbers: From Ancient Tallies to Quantum Computing: Review Article on Numbers
Abstract: Numbers are among the most fundamental constructs in human civilization, serving as the backbone of mathematics, science, technology, and virtually every aspect of daily life. They represent not only quantities and measures but also relationships, structures, and patterns that underpin the fabric of human understanding. From the earliest tallies etched on bones by prehistoric humans to the sophisticated numerical systems embedded in today’s artificial intelligence and quantum computing, the evolution …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 15–19 Read article
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Influence of Rheological and Physical Properties of Particles and Liquid media to compute Terminal Fall Velocity: A Review
Abstract: The hydrodynamic demeanor of falling particles and the liquid media in which they fall, supported by data analytics, is indispensable in the computation of the terminal falling rate. which is a critical concept in many civil engineering disciplines. The application of terminal settling velocity becomes vital to prevent the settling of microplastic particles (< 5 mm in size), several metal particles, polymers, etc.; especially those of irregular shape. Past research …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 28–40 Read article
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Genesis of English Language with its Cybernetics Origin
Abstract: AbstractThis paper is looking into the genesis of the English language with its Cybernetics origins and hence looking into the possibilities of developing new techniques to be used in speech processing applications. As we all know, English is the third-most-spoken language in the world by a number of native speakers, which is used to create the present world, which is also a West Germanic language that was first spoken early …
Published in Current Trends in Signal Processing · Vol. 10, Issue 1, 2020 · pp. 19–28 Read article
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The Role of Artificial Intelligence in Enhancing Athlete Performance and Training Strategies
Abstract: Artificial Intelligence (AI) is transforming modern sports by improving athlete performance, training methods, and decision-making processes. The integration of AI technologies such as machine learning, data analytics, wearable sensors, and computer vision has enabled coaches and sports scientists to analyze large amounts of performance data with greater accuracy and efficiency. Athletes' physiological indicators, movement patterns, injury risks, and recuperation processes are all monitored by these technology. Training regimens can therefore …
Published in Recent Trends in Sports · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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Soft Sensor for Estimation and Identification of Reduced Dimensional Quality Control Inputs
Abstract: AbstractAdvances in instrumentation technology have equipped us with better process controlling set-ups for error detection and control that occurs in the industrial process plants. This in turn generates a large amount of data that is not always information rich. Additional sensor like a soft sensor can be used to modify the sensor to generate information rich data. Soft sensor are computational models that aid in the continuous or partial estimation …
Published in Journal of Instrumentation Technology & Innovations · Vol. 7, Issue 3, 2017 · pp. 24–29 Read article
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Feature Extraction and Analysis of Bearing Faults: A Review
Abstract: One of the most important steps in identifying bearing problems is feature extraction. In order to provide a more meaningful dataset, it entails locating and extracting pertinent features from raw bearing vibration signals. Tasks involving categorization and prediction can then make use of these attributes. In many practical applications, such as monitoring rotating machinery or electronic components, the raw signals collected (e.g., vibration, current, temperature) are often complex, high-dimensional, and …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 20–28 Read article
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Cloud Storage of CD/DVD Data in Nirma University Libraries: Future Service
Abstract: Cloud computing technology is emerging technology for libraries to give different services to the patrons with the help of cloud. This paper may be helpful to storage of non-book material like CDs, DVDs in cloud era. It helps in reducing cost, time and manpower of library staff and solving current resource sharing problem to utilize library resources. In the first part, paper describes present situation of storage of CDs/DVDs and …
Published in Journal of Advancements in Library Sciences · Vol. 6, Issue 1, 2019 · pp. 84–89 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article
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Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
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Survey on Cloud Backup and Recovery Techniques
Abstract: AbstractThe need of storing large amount of data in electronic format has been increasing. Cloud computing is such a technology used to store data, backup data and provide disaster recovery services. Cloud will store large amount of data. This stored data can be used whenever required, from anywhere. To avoid the loss of data a backup is created and the data in cloud are stored in it. The purpose of …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 26–35 Read article
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A Study of Virtual Machines Environment in Cloud Computing
Abstract: The Cloud computing is most widely used technological concept which gives the efficient result in concern to availability and utilizing of resources, processing and management of the data on servers. These capabilities make cloud computing to decorate the programs of it. The concept of virtualization of cloud computing is main feature of this technology which provide a platform to many business application data, academic IT tools and industry to explore …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 4, 2021 · pp. 13–19 Read article
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A Study of Virtual Machines Environment in Cloud Computing
Abstract: The Cloud computing is most widely used technological concept which gives the efficient result in concern to availability and utilizing of resources, processing and management of the data on servers. These capabilities make cloud computing to decorate the programs of it. The concept of virtualization of cloud computing is main feature of this technology which provide a platform to many business application data, academic IT tools and industry to explore …
Published in Recent Trends in Parallel Computing · Vol. 8, Issue 2, 2021 · pp. 13–19 Read article
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Fractal-Entropy Guided Adaptive Signal Reconstruction for Non-Stationary Biomedical and Communication Systems
Abstract: This paper presents a novel Fractal-Entropy Guided Adaptive Signal Reconstruction (FEG- ASR) framework designed for accurate processing of non-stationary signals in biomedical and communication systems. The proposed approach integrates fractal dimension analysis with entropy- based feature evaluation to capture the intrinsic complexity and irregularity of time-varying signals. By dynamically adapting reconstruction parameters based on fractal-entropy measures, the method effectively separates noise from meaningful signal components while preserving critical information. The …
Published in Current Trends in Signal Processing · Vol. 16, Issue 1, 2026 · pp. 22–33 Read article
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Driver Alertness Detection Using Data Correlation
Abstract: AbstractThe number of accidents taking place across the globe is increasing at a fast pace and it's astonishing that around 20% accidents occur due to driver’s fatigue or due to lack of alertness. Non-alertness reduces reaction time and concentration, impairing the ability to execute decision making as well as attention-based activities. Being an aware and responsible citizen, it becomes essential to assure the driver’s vigilance and safety of passengers, co-passengers. …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 2, 2019 · pp. 6–15 Read article
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Implementation of Fully Homomorphic Encryption as a Cloud Security Solution
Abstract: The breathtaking development in cloud computing has proved to be a promising innovation and best solution for storing data and applications remotely. Confidentiality of data increases the security concerns and limits the usage of cloud services. The traditional security approach of encryption does not make cloud computing fully secure. Therefore cloud computing security is the predominating research topic. Fully homomorphic encryption is fully fit for processing data in an encrypted …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 2, Issue 3, 2015 · pp. 26–29 Read article