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1912 articles for “Data applications” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Web-Based Placement Management System: A Digital Approach to Campus Hiring
Abstract: Web-based management system for placement is a complete digital platform focused on optimizing and automating the activities of campus recruitment. Placement activities are generally manual in nature and require a lot of work, which brings about inefficiencies and time lags involving students, recruiters, and placement coordinators. Such challenges are faced by the above-mentioned system that provides a single point of convergence for all students and employers, as well as coordinators, …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 18–29 Read article
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Enhancing Library Engagement: A Student-Centric Study at MDSD College, Ambala City
Abstract: The primary objective of this study is to examine the patterns of library usage, reading habits, motivational drivers, and the barriers that influence students’ engagement with library services at MDSD College, Ambala City. The research aims to identify both enabling and inhibiting factors to enhance the effectiveness of library resources and promote a vibrant reading culture. A quantitative research design was employed using a structured questionnaire distributed to a sample …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 15–27 Read article
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Detection of Brain Tumors from MRI Images based On Development of Thinking Computer systems Techniques
Abstract: Brain tumors are one of the common diseases of the nervous system and have great harm to human health, and even lead to death. The detection, segmentation, and extraction of contaminated tumour regions from Magnetic Resonance Imaging (MRI) pictures are major problems; yet, a repetitive and time-consuming task performed by radiologists or clinical experts relies on their experience. The many anatomical structures of the human organ can be imagined using …
Published in Current Trends in Signal Processing · Vol. 11, Issue 3, 2021 · pp. 28–34 Read article
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An Overview On Security In Wireless Sensor Networks
Abstract: Wireless Sensor Network (WSN) is a wireless network with several sensor nodes that could be used to track critical and natural conditions. Such sensors can perform processing and sensing functions, and are designed to communicate with each other in addition. It has recently become one of the leading research subjects due to the various areas of its application. Wireless sensor network’s main objective is to collect sensing data from all …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 29–34 Read article
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A Survey on Deep Learning based Detection of Abnormal Human Behaviour using Computer Vision Human Activity Recognition System
Abstract: Abnormal Human activity recognition (Abnormal HAR) systems are very popular among researchers nowadays, they attempt to identify and analyze human activities using acquired information from sensors. Several papers have already been published in the abnormal HAR topics, the technologies in this field have multidisciplinary nature. They need constant updates. Our literature survey divided the approaches into three categories, the first one is about wearable sensor-based approach, the second one is …
Published in Journal of Computer Technology & Applications · Vol. 12, Issue 3, 2021 · pp. 32–41 Read article
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Dynamic System for Performance Analysis of Information Interchange
Abstract: AbstractData surpasses to the storing and processing capacity is termed as Big Data. Big Data is a catchword that defines the cumulative volume of data neighboring every phase of human life cycle. It states to the concept that each and every sector that perform task can be enumerated and logged in a series of data that is growing at an extraordinary rate. This Big Data is all about finding the …
Published in Journal of Advancements in Robotics · Vol. 6, Issue 1, 2019 · pp. 1–17 Read article
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An Application Development on Video as a Service in Cloud Computing
Abstract: The recent trend is found to be the increased use of visual media such as featured films, TV programs and home videos over the Internet. Hence, Video as a Service (VaaS) in cloud computing is gaining momentum. Success of any application in VaaS depends on storage, streaming and security. This paper presents an application based on VaaS, which allows users to upload video data on cloud, share videos with others …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 1, Issue 1, 2014 · pp. 1–5 Read article
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Review of SHA-1 Encryption Algorithm
Abstract: In the security world, encryption is the popularly known method for protection and safety of data. Digital signature and message authentication are the widely known applications of hashing that require the hash value calculation. Sha-1 is amongst the most trusted algorithms for calculating hash values. Sha-1 takes any size of input and yields fixed size hash value of 160 bits after going through 80 rounds. Belonging to MD4 family sha-1 …
Published in Journal of Advances in Shell Programming · Vol. 3, Issue 3, 2016 · pp. 1–4 Read article
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Work Pack & Fun Pack – Hybrid App Suite
Abstract: This document proposes the idea of building of Hybrid Applications based on the study of Ionic Framework and Firebase. This paper predicts the future scope of Mobile Application Development by introducing the concepts of Hybrid Application Development.Keywords: Software application, node package manager, Java development kit, command line interface, database.Cite this ArticleAshima Arya, Deepali Sharma, Gitanshu Choudhary. “Work Pack” and “Fun Pack”: Hybrid App Suite. Journal of WebEngineering & Technology. 2019; …
Published in Journal of Web Engineering & Technology · Vol. 6, Issue 1, 2019 · pp. 1–5 Read article
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Hybrid Feature Selection Approach for Stability Prediction for Intracerebral Hemorrhage Patients
Abstract: Intra Cerebral Hemorrhage (ICH) stability estimation is useful for enhancing diagnosis accuracy, selecting the best course of treatment, and clinically evaluating variations with healthy individuals. Due to their low predictive value, the clinical application of several ICH progression scoring systems is constrained. The dataset includes clinical parameters including age, Glasgow Coma Scale (GCS), and CT Angiography (CTA) spot that have been retrieved using geometric features from the segmented bleeding volume …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 9–17 Read article
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Traffic Detection Algorithms Analysis using ML
Abstract: It is difficult to watch traffic on crowded roads. Traffic monitoring procedures are time-consuming, expensive, labor-intensive, and require human operators. The limited accessibility hindered the storing and processing of large-scale video streams. Nonetheless, it is now possible to employe video feeds from traffic monitoring systems for number plate recognition, object tracking, traffic behavior analysis, and surveillance. Static image recognition and vehicle identification in a traffic surveillance system are very useful …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Calorie Measurement and Food Recognition Using Machine Learning
Abstract: Nowadays, all over the world most people are suffering from different types of diseases or obesity. This is because of bad food habits or eating food without knowing the calorie and other sources from the foods. Precise techniques for gauging food and energy consumption play a vital role in addressing obesity. Offering users or patients accessible and smart solutions to assess their food intake and gather dietary information constitute valuable …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 1–9 Read article
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Towards the Wearable Cardiorespiratory Sensors for Aerospace Applications
Abstract: Developing Air Traffic Management (ATM) & avionics human-machine framework ideas need real-time surveillance of the human operator to enable unique job assessment & system adaptability characteristics. To implement these advanced notions, a set of sensors capable of consistently and correctly capturing neurophysiological data is required. The scientific verification & performance evaluation of a cardio-respiratory sensor with ATM & avionics applications are presented in this research. The processed physiological measures from …
Published in Journal of Aerospace Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 1–15 Read article
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Accounting and Finance with Robotic Process Automation (RPA)
Abstract: This study explores the potential of robotic process automation (RPA) to transform finance and accounting (F&A) operations. RPA involves utilizing software robots to mimic human interactions with applications, specifically targeting rule-based and repetitive tasks across various financial processes. Key findings: Boosted productivity and efficiency: RPA may result in considerable efficiency improvements by streamlining repetitive operations and freeing up F&A employees to concentrate on more strategic, higher-value work. Enhanced accuracy and …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 3, 2023 · pp. 38–42 Read article
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Entomo-Analytics: Insect Behavioral Intelligence for Climate-Smart Environmental Monitoring Systems
Abstract: Rapid environmental change driven by climate variability, urbanization, and ecological degradation has intensified the need for innovative monitoring systems capable of providing real-time ecological intelligence. Traditional environmental monitoring methods often rely on satellite imaging and stationary sensors, which may lack fine-scale biological sensitivity. In contrast, insects—due to their abundance, ecological diversity, and rapid responsiveness to environmental shifts—offer a powerful yet underutilized source of bio-sensing data. This paper introduces the concept …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 2, 2026 · pp. 17–26 Read article
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Text Mining An Introduction, Technology, Techniques and Applications
Abstract: AbstractThis work presents a review of text mining areas, as long as the most familiar techniques and technologies are used., Including the proposals depending on the applications. There exits the various methods and devices/technologies to mine the contents and frequent data for future enhancement and decision-making purposes. The correct usage of right techniques helps for the speed enhancement. It reduces the time and efforts to extract useful information. Some of …
Published in Journal of Communication Engineering & Systems · Vol. 10, Issue 3, 2020 · pp. 30–37 Read article
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Modulation of Receptor Proteins: A Recent Paradigm in Drug Discovery and Target
Abstract: The main aim in drug discovery is to design different ligands those work on specific drug targets. However, various effective drugs work through the modulation of many proteins than single target. Advancement in system biology are establishing a phenotypic strength and a network structure, which suggests that, the excellent selective compounds may be performed less than desired clinical efficacy in comparison to multi-target drugs. In this new appreciation of the …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 5, Issue 1, 2018 · pp. 14–24 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Enhancing Terahertz Patch Antennas: The Role and Impact of Graphene
Abstract: Terahertz (THz) communication systems are gaining increasing attention because of their ability for high-speed wireless data transmission, making them suitable for the 6th-generation wireless applications. Patch antennas, commonly used in these systems, play a crucial role in signal transmission and reception. There are various types of conductive materials available for patch antennas, but the unique characteristics of graphene make it a suitable choice. This study explores the significance and contribution …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 41–51 Read article