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1481 articles for “Computational Data”
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Review on Learning Management System facilities for E-learning and Distance Learning
Abstract: The learning management system is one of the most useful systems in the world of technology because in recent years international secondary and higher education centers have been testing with a process that has completed some big changes to their structure and functioning. An excessive number of institutions implement a Learning Management System, and they become more and more common every year. Educational platforms (Learning Management Systems – LMS) are …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 8, Issue 3, 2021 · pp. 6–11 Read article
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Early Warning Model based on Markov Process in IoT
Abstract: In view of the progressions in inescapable human services our impression of social insurance is changing very quick. For any standard existing Hospital Information System (HIS) there are a few noteworthy issues that frustrates computerization like, settled data point or firm systems administration mode. In our paper, Internet of Things (IOT) based stage has been utilized for a superior computerization and quicker basic leadership related executions in the smart hospital. …
Published in Journal of Advances in Shell Programming · Vol. 5, Issue 2, 2018 · pp. 26–31 Read article
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Improving DBSCAN using Parallel Computing Approaches
Abstract: AbstractData mining has become the buzz word of computational research due to its enormous economical and social significance. Clustering is subset of data mining operations and is a type of learning using observation techniques. Clustering uses on unsupervised learning model and does not require any training data to generate the clustering model. Clustering enables grouping of similar and dissimilar type of data in separate groups. DBSCAN is on emerging and …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 2, 2019 · pp. 20–26 Read article
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Server Based Operating System (OS) Research Direction for Future Smart World Using Internet of Things
Abstract: AbstractCommunication and data processing over Internet has become a research issue to the researchers of Internet of Things (IoT). Cloud computing is already familiar at present. Cloud computing offers servers, storage, databases, networking, software, analytics and more, over the Internet (“the cloud”). Companies offering these computing services over Internet (“the cloud”) and typically, charge for cloud computing services based on usage, similar to how you are billed for water or …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 2, 2017 · pp. 26–32 Read article
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Implementing Machine Learning in Data Classification
Abstract: Data classification forms an essential aspect of artificial intelligence (AI) and soft computing, helping a great deal in the transformation of raw data into knowledge that forms the basis of numerous applications, such as fraud detection, medical diagnostics, and natural language processing. This study discusses the challenges and the state of the art in data classification, as far as scalability, noise handling, and feature selection optimization are concerned. It gives …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 2, 2025 · pp. 15–22 Read article
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Anti-hyperglycemia Effects of Plant Secondary Metabolites Towards PKA/CREB Pathway Activation in Diabesity
Abstract: Objective: Diabesity, the amalgamation of diabetes and obesity, presents a significant global health challenge. This research carefully examines how plant secondary metabolites influence glucose regulation in diabetes using the PKA/CREB pathway, paying particular attention to diabesity—the combination of diabetes and obesity. Understanding the complex ways in which these metabolites affect metabolic health will help to identify new treatment approaches for managing diabetes and its associated problems. By conducting a thorough …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 1, 2024 · pp. 33–50 Read article
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Marshall-Olkin Exponential Power Distribution and Applications
Abstract: We introduce a new distribution namely Marshall-Olkin Exponential Power Distribution and its properties were studied. The problem of estimation of parameters was considered and validated with respect to a real data on failure times. The stress-strength reliability analysis was also carried out. Average mean square error, Average confidence length, Coverage probability etc. were computed using simulated data. Using the proposed model we developed autoregressive processes with minification structure. Keywords: Marshall-Olkin …
Published in Research & Reviews : Journal of Statistics · Vol. 6, Issue 3, 2017 · pp. 22–33 Read article
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Automation to Computation for Wireless Networks—GSM
Abstract: AbstractZigBee technology has aimed to exchange data wirelessly at a short distance using radio wave transmission comprising features to create ease, perception and controllability. Compact robot system forms have impetus over police investigate up to explore of explosives. Home appliance control and monitor have been additive after embedded explore formative within cell phones. Railway level crossings manned or unmanned have rectification opportune same as signal purviews through ZigBee coded sensing …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 7, Issue 1, 2020 · pp. 1–7 Read article
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Mitigating Economic Denial of Sustainability in a Cloud Environment by Using Key Exchange
Abstract: The Cloud Computing is a model to enable service ubiquitous, expedient and on-demand of users. It provides network access to a pool of computing resources like networks, servers, data storage, and applications. Cloud is large pool of resource and services through which we can get service or resource whenever needed by paying amount used. Cloud provides services though mobile phones, laptops and personal digital assistants. Security has emerged as one …
Published in Journal Of Network security · Vol. 3, Issue 3, 2015 · pp. 9–16 Read article
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An Investigative Study on Cache-Oblivious Data Structures
Abstract: Cache-oblivious data structures and data management systems have emerged as critical components in modern computing environments, aiming to optimize memory access patterns across different levels of the memory hierarchy without explicit knowledge of cache sizes or configurations. This study presents an overview of cache-oblivious techniques, including adaptive data structures, compression, parallel processing, and security considerations. The workexplores future directions in cache-oblivious systems, such as non-volatile memory support, graph processing, edge …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 33–37 Read article
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Critical Review of Impact of UNIX in Development of Military Computing Paradigms
Abstract: The evolution of military computing systems has been profoundly influenced by the integration and continuous advancement of UNIX operating systems since their inception in the early 1970s. This paper presents a comprehensive review of the pivotal role UNIX has played in shaping the foundational architecture of modern military computing—spanning areas such as command-and-control infrastructures, real-time data processing, mission-critical software, and cybersecurity protocols. By tracing the historical development and technical progression …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 2, 2025 · pp. 08–16 Read article
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A Knowledge Graph Approach for Breast Cancer Diagnosis and Data Sharing Platform Implementation in the Context of Human Papillomavirus Infection
Abstract: Background: Breast cancer remains among the most prevalent malignancies in women worldwide, and effective diagnosis and data integration continue to challenge clinical practice. Diagnostic reports from mammography and ultrasound contain rich clinical information that is often under-utilised due to heterogeneous formats and limited data-sharing infrastructure. In the context of human papillomavirus (HPV) infection, which may influence oncogenic pathways and data complexity, advanced computational methods offer new solutions to this problem. …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 Read article
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Cybernetic Computing
Abstract: Many computing technologies and methodologies have evolved during the course of development of technology and engineering through the history. The history of computing is longer than the history of computing hardware and modern computing technology. We have developed cloud computing technologies for storing and processing data using distributed resources which are often located in third party data centers. Some of the computing technologies have showed very powerful computing capabilities as …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 1, 2020 · pp. 7–13 Read article
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Scaling of Machine Learning Techniques in Medical Imagining and Biomedical Applications Concerning Healthcare
Abstract: Machine learning refers to a field within computer science enabling computers to learn without explicit programming. Stemming from artificial intelligence's study of pattern recognition and computational learning theory, machine learning develops algorithms capable of learning from vast datasets and making predictions. Its applications span diverse computing tasks like email filtering, network intrusion detection, optical character recognition, and computer vision, where conventional algorithm design proves challenging. Notably, in computer vision, a …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 41–44 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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An Integrated Approach for Optical Router Design for High-Speed Data Centers
Abstract: AbstractData centers are the core of the networking. The users connect to top of rack (ToR) switches by various network topologies. Depending on topology designs and applications running on data centers decide the traffic characteristics. Due to cloud computing environment in many data center switches distinctive varieties of applications runs. Thus, traffic characteristics vary on various data center switches. This paper discusses the random and bursty traffic model for data …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 3, 2019 · pp. 1–10 Read article
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Recent Advances and Future Prospects in Digital Twin Technology for Battery Management Systems of Electric Vehicles
Abstract: Digital twin technology in battery management systems (BMS) for electric cars (EVs) represents a major development in the automotive industry. Digital twins provide predictive maintenance, modelling, and real-time monitoring by creating virtual copies of real-time monitoring, actual battery systems. This paper describes the functional components, architecture, and design of Digital Twin technology along with how it may be included into BMS. Emphasizing how consistent data flow from sensors improves battery …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Computational and Molecular Aspects of DNA Profiling in Forensic and Biomedical Sciences
Abstract: DNA profiling has changed many diverse modern sectors, from health and criminal justice to ancestry research and animal conservation. It is one of the most important scientific instruments of our time. This technique makes it possible to identify people, analyze family relationships, and learn more about biology by looking at unique genetic markers in a person’s DNA. DNA profiling has changed the way forensic science works by making it easier …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 14–18 Read article
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Intelligent Paradigms in Subsea Connectivity: A Comprehensive Review of Artificial Intelligence in Underwater Communications
Abstract: Underwater wireless communication (UWC) plays a critical role in ocean exploration, environmental monitoring, offshore energy operations, disaster management, and naval defense. However, the underwater environment presents significant communication challenges, including severe signal attenuation, multipath propagation, Doppler effects, limited bandwidth, high latency, and energy constraints. Recent advancements in Artificial Intelligence (AI) and Machine Learning (ML) have emerged as promising solutions to address these limitations and enhance the efficiency, reliability, and adaptability …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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VolleyNexis AI: A Multimodal Artificial Intelligence Framework for Opponent Strategy Prediction, Tactical Intelligence, and Athlete Performance Optimization in Volleyball
Abstract: The rapid advancement of Artificial Intelligence (AI) has profoundly transformed sports analytics, enabling deeper insights, real-time data analysis, and enhanced performance predictions. Noticeable results have been seen by enabling automated analysis of complex gameplay patterns along with athlete performance. Volleyball is a dynamic and strategic sport, which requires continuous tactical adjustments and constant monitoring of the player’s performance. This paper presents VolleyNexis AI, which is a multimodal artificial intelligence framework …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 2, 2025 Read article