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99 articles for “graph algorithms”
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Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Boosting Gesture Recognition with Software Fault Tolerance
Abstract: User interface is always a key important issue of any application. Graphic user interface is one of the convenient and conventional ways to use application but the current trades of user interface are very popular with emotional user interface (EUI). Automation, changing technology and shortest path to operate command are certain reasons of popularity of EUI. In any EUI, the gesture recognition is core important part. Faults may occur anywhere …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 1, 2018 · pp. 1–5 Read article
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Analysis of Cognitive Radio Spectrum Sensing Algorithms Using Various Noise Channels
Abstract: As we know that now a day’s there is a huge advancement in wireless communication and its applications, efficient use of spectrum has been a great issue for researchers. Due to such issue, development in cognitive radio (the intelligent network) has been in demand which will analyze the spectrum to increase its efficiency by utilizing it properly. This paper focuses on sensing the spectrum in order to find out the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 2, 2015 · pp. 11–16 Read article
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Umpire’s Assistant : DRS with computer vision
Abstract: In any game, a fair decision is necessary to ensure that the game is played fairly. Any bad judgement made due to human error could determine the game's outcome. The literature study mentioned computer vision and image processing algorithms, which were shown using numerous cameras. With the use of a high-quality smartphone camera, this study focuses on a system that assists the umpire in making decisions such as no-ball, LBW …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 1, 2022 · pp. 24–27 Read article
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Study of Social Trends Prediction Using AI
Abstract: AI (Artificial Intelligence) has fundamentally changed the ability to analyze social trends by using large datasets to develop predictions about human behavior, public sentiment, and global events. Using methodologies such as Natural Language Processing (NLP), Time-Series Forecasting, and Graph-Based Social Network Analysis, AI is able to find hidden correlations in a variety of available datasets, from social media to economic indicators to public records, and fundamentally changes decision-making based on …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 19–29 Read article
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Remote Disk Booting
Abstract: Now-a-days, the traditional disk-full technology will be replaced by the disk-less technology because of its advantage such as controlling from the central control system, managing large number of computer systems, reducing the redundancy of computer systems, reducing the energy consumption and costs. This project aims at creating a system for centralization of IT resources of an organization by building upon the concept of disk less booting. Disk-less technology provides a …
Published in Journal of Advances in Shell Programming · Vol. 7, Issue 2, 2020 · pp. 18–23 Read article
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Advanced Water Purification Techniques for Sustainable Clean Water Management: A Comprehensive Review
Abstract: The growing global demand for safe drinking water, coupled with increasing pollution from industrialization, urbanization, and agricultural activities, has intensified the need for efficient and sustainable water purification technologies. Conventional water treatment processes often fail to remove emerging contaminants such as pharmaceuticals, microplastics, endocrine-disrupting compounds, and heavy metals. Advanced water purification technologies—including membrane filtration, advanced oxidation processes (AOPs), nanotechnology-based adsorbents, photocatalysis, electrochemical treatment, and bio-inspired purification systems—have emerged as promising …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 47–52 Read article
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Data-Driven Predictive Analytics and Decision- Making in FinTech Using MongoDB and High-Throughput Data Pipelines
Abstract: This paper examines the implementation of MongoDB and high-throughput data pipelines within the financial technology (FinTech) sector to drive data-informed predictive analytics and decision-making. The study focuses on the architectural components, scalability, and challenges of integrating NoSQL databases into real-time data ingestion and analytics pipelines. The transformative potential of these technologies in modern financial systems is highlighted through practical use cases such as fraud detection, credit scoring, and personalized financial …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 1–15 Read article
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A Shell Script Compiler in Linux and Unix
Abstract: A command programming language that provides an interface to the UNIX operating system is known as the UNIX shell. It contains some of the mechanisms found in algorithmic languages, such as passing control flow primitives, variables, and parameters. Configurations such as while, if, for, and case are available. Two-way communication is possible between the shell and the command. String value parameters (usually filenames or flags) can also be passed to …
Published in Journal of Advances in Shell Programming · Vol. 8, Issue 2, 2021 · pp. 19–25 Read article
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CEO BOT—Working as a College Enquiry Chatbot by Applying Artificial Algorithms and Making it Rule Based
Abstract: A Chat Bot is a bit of technology that leads a discussion in audio or literary strategies. Such software is frequently intended to depict how a human would carry on as a conversational accompany. The answers to the enquiry of the students are given by this system which is a web application. Conversation can be done by querying the system via bot by the students. As there is no particular …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 2, 2021 · pp. 38–43 Read article
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Extracting High Dimensional Data by Using Fast Clustering Based Feature Subset Selection System
Abstract: AbstractThis paper presents the feature assortment involve identifying a subset of the majority valuable features with the intention of produce companionable results the same as the inventive complete set of features. A feature assortment system could exist evaluate commencing both the effectiveness and efficiency points of analysis. Although the effectiveness concerns the point in time necessary in the direction of locate a subset of features, the efficiency is linked toward …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 3, Issue 3, 2016 · pp. 1–13 Read article
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Ventricular Arrhythmia Detection Techniques for ECG Signal: A Survey Approach
Abstract: Electrocardiogram (ECG) represents the electrical activity of the heart and is used to measure the rate and regularity of heartbeats. In this paper we propose a method for an Independent Component Analysis (ICA) based detection and classification of the ventricular arrhythmia. The malignant ventricular arrhythmia database from www.physionet.org/physiobank/database/vfdb has been utilized for evaluating the algorithm over MATLAB interface. This scheme assimilates ICA and probabilistic neural network for classifying critical arrhythmia …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 1, 2015 · pp. 25–30 Read article
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The Significance and Applications of Parallel Computing in the Modern Era
Abstract: This article explores the advancements in parallel computing, focusing on its applications in various domains such as scientific simulations, big data analytics, artificial intelligence, and real-time processing. We discuss the architectural shifts from traditional single-core processors to multi-core and many-core systems, along with the role of graphics processing unit (GPU)-based computing and specialized hardware like tensor processing units (TPUs) and field programmable gate arrays (FPGAs). Furthermore, the article examines contemporary …
Published in Recent Trends in Parallel Computing · Vol. 12, Issue 1, 2025 · pp. 24–38 Read article
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Deep Analysis of the Banknote Identification and Counterfeit Detection
Abstract: The production of counterfeit paper currencies has become cheaper due to advancements in printing technologies and graphic design. The circulation of fake currencies negatively impacts a country’s economy. This paper aims to develop an intelligent system for detecting and categorizing counterfeit currencies, which also plays a significant role in the field of human–computer interaction (HCI). The paper delves into the history of counterfeit currencies and the development of techniques used …
Published in Journal Of Network security · Vol. 12, Issue 3, 2024 · pp. 13–17 Read article
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Experimental Investigation of Boron Carbide Reinforced Al-Mg-Si Alloy Nano Composites by the Stir Casting Method Using Machine Learning Algorithm
Abstract: For the purpose of this experiment, Al-Mg-Si alloys were manufactured with the use of the stir casting process with a metal mold. The alloys had different weight percentages of nano boron carbide, which ranged from 0 to 4% by weight. The intervals between the percentages were 0.5. Following that, the microstructural and mechanical parameters of the as-cast alloy and the nano composites were compared and contrasted according to ASTM Standards …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1766–1779 Read article
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Deep Guard: A Comprehensive Deep Learning System for Unmasking Suspicious Activities in Surveillance Footage
Abstract: These days, video surveillance is quite vital. Technology has evolved considerably as machine learning, artificial intelligence, and deep learning become increasingly widespread. There are several algorithms that assist in identifying distinct kinds of suspicious behaviour from live footage by combining the techniques. A person's behaviour is the most unpredictable thing, and it can be quite challenging to determine whether it is normal or suspicious. Video surveillance is automated to address …
Published in International Journal of Satellite Remote Sensing · Vol. 1, Issue 1, 2023 · pp. 23–28 Read article
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Intuitionistic Fuzzy Hypergraph Laplacians and Dominating Transversals for Resilient Discrete Network Design
Abstract: This manuscript develops a discrete mathematical framework for resilience analysis on networks whose interactions are polyadic, uncertain, and partially conflicting. Classical graphs compress multi-way coordination into pairwise edges, while ordinary fuzzy graphs often ignore the non-membership information that becomes critical in emergency logistics, infrastructure interdependence, and cyberphysical coordination. We therefore formulate an intuitionistic fuzzy hypergraph in which each vertex hyperedge incidence carries membership, non-membership, and hesitation, and we construct a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 15–21 Read article
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Fraudulent Data Detection of Credit Card by Using Random Forest Method to Calculate ROC and Confusion Matrix
Abstract: Credit card fraud defaults in trillions of dollars online merchants. Researchers have more and more complex methods of detecting fraud using algorithms for machine learning, but there are rare reports of hands-on implementations. We describe the implementation of an extortion discovery framework in a huge e-tail retailer. The paper looks at the combination of manual and robotized classification and offers experiences into the whole handle of advancement. The paper can …
Published in Journal of Advanced Database Management & Systems · Vol. 7, Issue 1, 2020 · pp. 15–22 Read article
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Numerical Simulation and Design of Efficient Brain Tumor Segmentation with Hybrid Fuzzy K-Means Clustering Technique
Abstract: The goal of this study is to detect brain cancers from MRI images using a Matlab GUI interface. Using the GUI, this application may employ numerous combinations of segmentation, filters, and other image processing methods to produce the best results. We begin by applying the Prewitt horizontal edge-emphasizing filter on the image. “Watershed pixels” are the next step in detecting tumours. The most essential aspect of this project is that …
Published in Journal of Advancements in Robotics · Vol. 8, Issue 3, 2021 · pp. 8–17 Read article