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524 articles for “Digital Information”
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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Virtual Machine Migration in Cloud Computing with optimized Load Balancing
Abstract: Cloud computing (CC) is a provider that makes use of subscription storage and computing power. Load balancing in dispensed structures is one of the most crucial pieces. CC has been a very fascinating and essential location of lookup due to the fact CC is one of the excellent structures that shops information with decreased fees and can be considered over the web at all times. Load stability allows retaining excessive …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 8, Issue 2, 2021 · pp. 12–24 Read article
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Ghummakad—A Comfort Tourist Guider
Abstract: In the past few years, tourism has developed into a critical service industry. The total contribution of tourism to the GDP is around 30%. Local journeys end has to provide only their best in order to satisfy tourists. In that respect, tourist guides represent a significant part of the tourism industry, and in today’s tech era, everyone wants everything on their phone or their suitable devices. Our project is approaching …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Development of Novel Polymeric Articulating Papers for Enhanced Occlusal Contact Assessment in Dentistry
Abstract: Traditional articulating papers, a mainstay in occlusal analysis, often exhibit limitations in consistency and difficulty with quantitative data analysis. This study explores the development of novel articulating papers utilizing advanced polymeric materials. These novel papers aim to address the shortcomings of traditional options by potentially improving: (1) sensitivity and resolution for capturing occlusal contacts, (2) consistency and reproducibility of contact readings, and (3) durability and reusability. The successful development of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1004–1011 Read article
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A Comprehensive Review of AI-Driven Strategies for Tailored Wellness and Dietary Recommendations
Abstract: In today’s fast-paced world, health and fitness have become top priorities for many individuals. As a result, people increasingly turn to mobile apps and digital tools to track their wellness goals, follow diet plans, and stay fit. However, most of these apps provide the same set of recommendations for all users, ignoring the fact that everyone has different needs. This one-size-fits-all approach often fails to keep users engaged and motivated, …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 16–20 Read article
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A Review on Fundamental Premises and Algorithmic Approaches in Compressive Sensing
Abstract: This paper addresses the classical approach of acquiring signals by following the well celebrated Shannon sampling theorem that underlies the majority devices of current technology, viz. analog-to-digital conversion, medical imaging, or audio and video electronics. In medical imaging, there are problems related to acquisition time and compression. Compressive sensing (CS) paradigm addresses the shortcomings of traditional data acquisition by sampling signals much more efficiently. CS is a novel kind of …
Published in Current Trends in Signal Processing · Vol. 6, Issue 1, 2016 · pp. 18–24 Read article
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IOT: A New Dimensions to Supply Chain Management
Abstract: Abstract Now a day’s manufacturing and service organisations are surviving due to its efficient and effective Supply Chain Management (SCM). Internet Of Things (IOT) is a system which enables SCM to perform better by exchanging information with other connected devices, the operator or the manufacturer which is embedded with sensors, software, electronics and connectivity. This paper focuses a detailed study of past literatures regarding the significance of IOT in supply …
Published in Journal of Communication Engineering & Systems · Vol. 8, Issue 2, 2018 · pp. 75–81 Read article
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Webometric Analysis of Indian Institute of Management Libraries Websites
Abstract: The study explored different characteristics of linking study of fifteen Indian Institute of Management (IIM) websites. All the IIMs has their own websites, and all websites working under homogeneous Domain Name System “.ac.in” and “ernet.in.” To achieve the goal, these are a need to have websites of each academic institute to perform well and stay in the competition. The World Wide Web has now become one of the main sources …
Published in Journal of Advancements in Library Sciences · Vol. 5, Issue 3, 2018 · pp. 24–31 Read article
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Uncovering the Elusive Threat: An Investigative Study on Polymorphic Viruses
Abstract: In the intricate landscape of cybersecurity, polymorphic viruses have prominently emerged, distinguishing themselves through their unique ability to continually modify their code, rendering them stealthy and challenging to detect. This comprehensive study embarks on a journey through the complex world of these viruses. It commences with a historical lens, meticulously tracing their roots, their initial manifestations, and the progressive sophistication of their code-altering techniques. The research then pivots to a …
Published in Journal Of Network security · Vol. 11, Issue 3, 2023 · pp. 10–21 Read article
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Farmers In India: Impact of Minimum Support Price, Exploitation in Mandis, and Conditions Leading to Distress Selling
Abstract: Indian agriculture remains dominated by small and marginal farmers who face persistent income insecurity despite the existence of the Minimum Support Price (MSP) system. The MSP, designed to provide remunerative prices and food‑security procurement, has produced significant benefits in select regions and crops—especially wheat and paddy in states like Punjab, Haryana, and Madhya Pradesh. However, its coverage is uneven, with many farmers in pulses, oilseeds, and horticulture regions selling below …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 15, Issue 3, 2026 Read article
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Accelerating Unsupervised Feature Learning: Parallelized Training of Denoising Autoencoders
Abstract: Unsupervised representation learning has become a cornerstone of contemporary machine learning, enabling algorithms to extract informative features from un-labelled, high-dimensional data. This work investigates the efficacy of stacked denoising autoencoders (SDAEs) trained via parallelized stochastic gradient descent (SGD) as a scalable approach to feature extraction. By strategically leveraging multi-threaded computation, our study systematically examines the trade-offs between increased parallelism, training efficiency, and the preservation of model accuracy. Experiments on the …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 56–64 Read article
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Comparative Study on Methods for Teeth Image Recognition
Abstract: This article proposes a new method to find a specific tooth from the digital picture of multiple teeth. The modified methods can significantly simplify the pattern recognition process for teeth. Here we compared some of the popular recognition method like principal component analysis (PCA) and hybrid differential method (HDM). These methods are lot more simple, runs faster and the identification rate is better. These approaches will reduce the traditional reliance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 1, Issue 3, 2014 · pp. 22–31 Read article
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Implementation of Adders Using Ternary Based Multiple Valued Logic
Abstract: In today’s world VLSI chips are widely used in various branches of Engineering like Voice and Data communication networks, Digital signal processing, Computers, Commercial Electronics, Automobiles, Medicine and many more. So, there have been major advances in IC technology which have both made feasible and generated great interest in electronic circuits which employ more than two discrete levels of signals such circuits called Multiple valued logic circuits, offer several potential …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Deblurring Image Secured Using Blind Deconvolution Algorithm with RSA Algorithm
Abstract: AbstractHow one can get a clear picture from a single motion blurred picture has been a difficult open problem in digital imaging. In this paper, our focal point is on image restoration which is in many instances talked about image deblurring or image deconvolution. Image restoration is the procedure of recovering the common picture from the degraded picture. Image deblurring is a technique to make the picture sharper and great …
Published in Journal of Open Source Developments · Vol. 4, Issue 3, 2017 · pp. 20–26 Read article
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Data Representation and Abstraction in Computer Systems: An Interactive Study
Abstract: Data abstraction simplifies data, while data representation stores or encodes it. Data abstraction in programming involves constructing a data type that hides data representation. This lets consumers concentrate on the data’s primary features rather than its implementation. Data abstraction is common in object-oriented programming and database administration. Computers store data in binary format. The smallest binary unit is a bit, or “binary digit”. Bytes typically have eight bits. Data abstraction …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 22–31 Read article
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Role of Artificial Intelligence in Structural Health Monitoring-A Brief Evaluation
Abstract: Artificial intelligence (AI) refers to the capacity of a machine or a computer to ‘think’ or reason in the way a human would, utilizing experience, learned facts, and flexible rules to solve problems that may not fit the standard outlines for a normal algorithm. From this follows the utilization of AI in various sectors, such as the information technology (IT) industry, media, healthcare and medicine, logistics, environmental sustainability, finance, business, …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Detection of Cracks and its Length
Abstract: Numerous artworks, particularly old ones, experience the ill effects of breaks in the substrate, the paint, or the varnish. These examples are more often than not called splits and be brought about by maturing, drying and mechanical factors. The presence of splits on painting disintegrates the depictions quality. One can utilize advanced picture handling strategies to distinguish and dispense with the breaks on the digitized works of art. The primary …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 7, Issue 1, 2020 · pp. 52–61 Read article
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Building Knowledge with a Hands-on 8-bit CPU Architecture Simulation Kit for Students
Abstract: It is now crucial for students studying electronics and information technology to comprehend computer architecture and logic design. Hands-on, practical instruction is required to assist students in understanding Computer Organization and Architecture (COA). Our kit, which covers essential components including bus interfaces, arithmetic, and logic units (ALU), memory structures, and functional registers, is based on the Von Neumann architecture. Theoretical techniques like block diagrams and top level diagrams are typically …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 3, 2024 · pp. 1–9 Read article
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Enhancement of Digital Mammograms Using Intuitionistic Fuzzy Entropy Function
Abstract: A novel intuitionistic fuzzy entropy-based algorithm is developed for increasing the contrast of digital mammograms. The contrast enhancement helps in the early detection of masses and microcalcification in tissues thus paving the way for the auxiliary diagnosis of breast cancer. The current techniques for the enhancement of digital mammograms do not consider the uncertainty in pixel intensities of mammograms. The proposed technique aims at enhancing the mammograms using intuitionistic fuzzy …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 10–26 Read article
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Designing and Implementation of Under-Water Optical Wireless Communication System
Abstract: In modern digital communication field Optical Wireless Communication is playing key role to heighten expectation of the end user. To communicate these end users through communication channel with reliable data is always challenging and unpredictable. Now a day most thrust area is wireless optical communication which is used to establish connection among various end user nodes. All the constituents like fog, dust, smoke, and rain and wind turbulence will have …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 2, 2024 · pp. 10–14 Read article