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729 articles for “Computer Algorithms”
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A Comprehensive Review of Mathematical Modelling using Graphs
Abstract: This article provides a detailed insight into the applications and methods of mathematical modeling using graphs. Graph theory has proven to be a powerful tool for representing and analyzing complex systems in diverse fields such as computer science, social networks, transportation, biology, etc. This paper covers the importance of graph theory for solving real-world problems. Mathematical modeling using graph theory includes graphical representations, algorithms, and their applications in network analysis, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 28–34 Read article
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Inductive Turing Machines of Higher Orders: Computability, Acceptability and Decidability
Abstract: In this paper, the basic forms of information processing by inductive Turing machines of the order n are explored where n 1. It is demonstrated that different types of acceptability, recognizability, and computability of sets and formal languages by inductive Turing machines of the order n are equivalent. This allows high flexibility in modeling functioning of computers and computer networks by choosing the better suited forms of information processing. …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 8, Issue 2, 2021 · pp. 10–26 Read article
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Predicting the Computer Access Needs of Employee Using Data Mining Algorithms
Abstract: Every business relies on data to better organize and access the information to improve their business operations and to identify opportunities for improvement. A better framework improves the ability to valuable products and better services to their customers. The wide swaths of data that every organization gathers requires a proper methodology to gain knowledge about the latest trends in the market. Data mining is the process that analyses the data …
Published in Journal of Advances in Shell Programming · Vol. 10, Issue 1, 2023 · pp. 12–16 Read article
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A Critical Review of Generative Design Methods in Computer-Aided Drafting
Abstract: In the realm of Computer-Aided Drafting (CAD), generative design methods have become a potential strategy for automating and enhancing the design process. These methods generate a wide range of design possibilities based on given characteristics and limitations by using algorithms and computational tools. The objective of this critical study is to assess the benefits, drawbacks, and implications of generative design techniques in CAD. A notable result of this merger is …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 1, 2023 · pp. 1–6 Read article
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A Comparative Study on Evolutionary Algorithms to perform Isogeometric Topology Optimisation of Continuum Structures using Parallel Computing
Abstract: The optimization of computational performance along with the topology optimization of structures is the main focus of this study. The computational performance of the program is enhanced using two search engines in parallel. The search process is done using a least pop size which has reduced the number of computations required to optimize the objective function. The geometry can be exactly represented using isogeometric basis functions where the same basis …
Published in Journal of Aerospace Engineering & Technology · Vol. 8, Issue 1, 2018 · pp. 51–58 Read article
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Modernized Art for a Smarter Environment
Abstract: Gesture recognition is a technology that uses the mathematical algorithms to identify human gestures. Gesture recognition recognizes the hand, tracks its movements, and provides information about hand position, orientation, and finger flux. This research work describes a sophisticated and user-friendly Human Computer Interaction (HCI) technology that employs the Raspberry Pi to easily translate user intentions into corresponding commands and output. The proposed system overcomes the disadvantages present in the existing …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 10, Issue 1, 2022 · pp. 7–14 Read article
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Harnessing Bacteria for Next-Generation Data Storage Technologies – A Review
Abstract: The exponential increase in global digital information has created a pressing need for storage technologies that are more durable, compact, and sustainable than conventional electronic media. While hard drives, solid-state drives, and cloud-based systems have transformed information management, they face severe limitations related to storage density, energy consumption, maintenance costs, and long-term preservation. Researchers have, therefore, begun exploring biological systems as alternative information storage platforms. Among these, bacteria have emerged …
Published in International Journal of Molecular Biotechnological Research · Vol. 4, Issue 2, 2026 Read article
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Advances in Lung Cancer Detection and Diagnosis: An Integrative Approach Using Computational Chemistry, Statistics, Bioinformatics, Artificial Intelligence, and Machine Learning
Abstract: Lung cancer is still one of the most common and lethal cancers globally, accounting for more than a million deaths each year. Prompt detection is important, and imaging techniques like chest X-rays, MRIs, PETs, CTs, and molecular imaging have become important tools. But still, even though all these techniques do not provide an accurate classification of the lesion, they have led to the development of computer-based high-resolution image analysis. Computer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 2, 2026 Read article
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Bioinformatics in Veterinary Science: Unraveling Disease Patterns and Genomic Insights.
Abstract: Bioinformatics has emerged as a powerful tool in veterinary science, enabling the unraveling of disease patterns and providing valuable genomic insights. This article explores the application of bioinformatics in veterinary research, focusing on its impact on disease diagnosis, treatment, and prevention. By integrating large-scale data analysis, computational algorithms, and biological knowledge, bioinformatics has revolutionized our understanding of animal diseases, their genetic basis, and their interaction with the environment. The article …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 12, Issue 1, 2023 · pp. 21–26 Read article
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Blind Image Quality Assessment: An Overview
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment.. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach relies on a simple Bayesian inference model to predict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The estimated parameters of the model are …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 3, 2021 · pp. 1–3 Read article
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment.This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are used …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 · pp. 1–6 Read article
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Blind Image Quality Assessment using NSS Approach in the DCT Domain
Abstract: We have develop an efficient model for improving image quality using IQA and NSS based on blind image Quality Assessment. This algorithm does computation for the parameters which user expect at output. The certain extracted features approach depends on a simple Bayesian inference model to dipict image quality scores. The project features are based on statistic scenes of discrete cosine transform for images. The resultant parameters of the model are …
Published in Recent Trends in Electronics Communication Systems Read article
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Advancements in Molecular Engineering: Innovations at the Nexus of Chemistry and Technology
Abstract: Molecular engineering, a frontier of chemistry, merges precision and innovation to design and assemble molecular structures with unprecedented control. This abstract explores recent advances, highlighting key breakthroughs and their transformative impacts. Starting with its roots in chemical synthesis and materials science, it traces the evolution towards rational design driven by computational tools and advanced characterization techniques, enabling tailored molecular architectures. A focal point is programmable molecules, where DNA nanotechnology principles …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 2, 2023 · pp. 37–43 Read article
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Melanoma Skin Cancer Detection Using Deep Learning
Abstract: Cancer as one of the major diseases rank in the World is still very challenging to diagnose and treat hence need for the technological advancements. Chemotherapy, radiation, as well as surgery therapies have several drawbacks including non-selective action, damage to healthy tissues, and multi-drug resistance. Smart nano-theranostics, an advanced integration of nanotechnology with diagnostic and therapeutic modalities, offers a next-generation approach for precision oncology. Thus, the development of multifunctional nanoparticles …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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LBP-HOG-Statistical-Wavelet Transform Feature Based MCA Classifier
Abstract: Face recognition systems use computer algorithms choose specific, recognizable features on a person’s face. With a mathematical representation, the information is compared to data on other faces acquired in a face recognition database. The distance between the eyes or the shape of the chin are two examples of these characteristics. The job of matching several facial modes, such as visible and near infrared images, is known as heterogeneous face recognition. …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 2, 2022 · pp. 19–30 Read article
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The Principles and Applications of Structural Symmetry in Natural and Engineered Systems: A Comprehensive Review
Abstract: Structural symmetry is a fundamental constraint across scientific domains, dictating the stability, functionality, and efficiency of systems from the subatomic to the macroscopic. In physics and chemistry, symmetry is mathematically defined through Group Theory, specifically point groups (e.g., Cnv, Oh). These groups govern molecular orbital interactions; high-symmetry configurations, such as the icosahedral C60 fullerene, achieve optimal energy distribution and structural resilience. In Structural Biology, symmetry is an evolutionary strategy for …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 30–34 Read article
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Hadoop Based Cloud Data Security on Cloud Using Encryption Algorithm
Abstract: Cloud-computing is the typical creative pattern of computing technique for people to apply the Information-Technology its related works along with the cheaper capabilities of computing. The services offered on the web are extending from applying the cloud provider’s hardware and software to controlling the security and other issues. Securing the data from the malignant customers, a process of client-authentication have becomes a significant task. Several securities and the privacy problems …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 3, 2017 · pp. 40–48 Read article
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Optimal Allocation of FACTS Devices Using Quantum Inspired Evolutionary Programming
Abstract: Quantum Inspired Evolutionary Programming (QIEP) is an optimization technique that combines the benefits of quantum computing and evolutionary algorithms together. In this paper this technique is used to find optimal allocation of Flexible AC Transmission System (FACTS) devices. The results are compared with the results found from genetic algorithms (GAs). Based on the results it can be concluded that QIEP technique is better than GAs. Keywords: QIEP, quantum computing, evolutionary …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 23–27 Read article