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729 articles for “Computer Algorithms”
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Optimization of Artifact Free Image Upscaling Using Genetic Algorithm
Abstract: Creating an upscaled image from a low-resolution (LR) image to high resolution (HR) is very interesting. The nature and texture of an image should be maintained during upscaling of an image. This upscaling is also termed as “super-resolution”. It is related to both, statistical relationships between low-resolution and high-resolution. Several methods have been proposed to obtain better results, involving simple heuristics, edge modeling or statistical learning. The most powerful ones, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 21–29 Read article
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Advanced Anomaly Detection in Cloud Infrastructures Using Deep Learning Algorithms
Abstract: It is critical to guarantee the stability and security of cloud environments as cloud computing is becoming the backbone of contemporary IT infrastructures. Neglecting to quickly identify and resolve anomalies, which might point to security breaches, performance problems, or system breakdowns, can lead to disastrous outcomes. The increasing size and complexity of cloud infrastructures are challenging the effectiveness of traditional anomaly detection methods. These approaches often depend on rule-based systems …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 1–11 Read article
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Polyhedral Compilation for Imperative Loops: Foundations, Advances, and Emerging Frontiers
Abstract: Polyhedral compilation is a mathematically rigorous framework that models imperative loop nests as sets of integer points constrained by affine inequalities, enabling precise reasoning about data dependences and the legality of complex program transformations. Over the past decade, this framework has evolved from an academic formalism into a practical compiler technology deployed in production compilers, high-performance computing libraries, and machine learning acceleration toolchains. This review surveys the theoretical underpinnings of …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 7–15 Read article
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The Role of Optimization and Probability in Shaping Artificial Intelligence
Abstract: This study discusses the basic roles of optimization algorithms and the theory of probability in the process of evolution and development of Artificial intelligence (AI). First, we introduce the role played by the next generation of leading-edge optimization algorithms developed since gradient descent to evolutionary strategies with respect to the learning of high-level AI models and how to enable them to learn to effectively explore high-dimensional parameter spaces. At the …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 123–128 Read article
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Solving Economic Load Dispatch Problems through Moth Flame Optimization Algorithm
Abstract: AbstractThis paper proposes the nature-inspired moth flame optimization (MFO) algorithm to solve the economic load dispatch (ELD) problem of power system. The ELD is a concept where the committed generating units are scheduled to meet the total power demanded by the residential area. The ELD problems are solved by the optimization process of the objective function, hence optimization is done by minimizing the total fuel cost function of the generating …
Published in Journal of Semiconductor Devices and Circuits · Vol. 3, Issue 3, 2016 · pp. 25–33 Read article
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Blockchain Technology: Systematic Review of Security and Privacy Problems and Its Scope with Cloud Computing
Abstract: The Blockchain is a mutual, disseminated record that encourages the process of account exchanges and following resources in a business organization. Blockchain empowers parties who do not completely confide in one another to keep up a lot of worldwide areas. It is a system comprised of transactions, immutable ledgers, decentralized peers, encryption processes, consensus mechanisms, optional smart contracts. It is a digital innovation which is meant to drastically alter financial …
Published in Journal Of Network security · Vol. 7, Issue 1, 2019 · pp. 1–6 Read article
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Morphological Clustering of Diagnostic Images by Advanced Hard C Means
Abstract: In the proposed approach, morphology technique is used to find the area affected in the diagnostic image and extract the same using adaptive threshold technique. To get more accurate segmentation, Hars C means algorithm is used.Here in this project compare and analyze the qualitative and quantitative performance of different operators. Adaptive canny operator have better performance than sobel and Roberts operator. By using the proposed method can improve PSNR, Noise …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 5, Issue 2, 2018 · pp. 25–33 Read article
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Applications of Graph Theory in Computer Science
Abstract: Graph theory, a branch of mathematics, has found broad applications in different areas, especially in computer science. This study inspects the basic concepts of graph theory and its different applications in computer science. It talks about the role of graphs in modelling real-world networks, algorithmic problem-solving, optimization, data structures, network analysis, and other significant areas within the domain of computer science. Through different illustrations and case studies, this study aims …
Published in Journal of Open Source Developments · Vol. 10, Issue 3, 2023 · pp. 30–35 Read article
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Optimization of Pesticide Requirement Calculations for IoT-Operated Hexacopter Delivery Systems
Abstract: The integration of Internet of Things (IoT) technology into precision agriculture has transformed pesticide application strategies, enabling resource-efficient and environmentally sustainable practices. This study presents a computational methodology for optimizing pesticide requirements in an IoT-operated hexacopter system, designed for dynamic, data-driven pesticide delivery. Leveraging a fusion of real-time telemetric data from onboard LiDAR, multispectral imaging sensors, and environmental monitoring modules, the system employs predictive analytics and edge computing to calculate …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 08–14 Read article
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Design of XYZ Plotter
Abstract: The main aim of this study is to design XYZ plotter using stepper motor and GRBL controller software, Arduino UNO. The XYZ plotter plots three-dimensional data on a Cartesian coordinate system. This work examines about the detailed study, design and creation of XYZ plotter from 3D printer and microcontroller framework (Arduino). Displaying and investigation of XYZ plotter are carried out through serial communication from computer to Arduino. It is executed …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 2, 2019 · pp. 16–20 Read article
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Novel Perspectives in Quantum Safe Crypto algorithms for Enhanced Cyber Security
Abstract: This paper explores novel perspectives in quantum-safe cryptographic algorithms to bolster cybersecurity in the face of impending quantum computing advancements. Due to the efficient resolution of intricate mathematical problems by quantum computers, posing a substantial threat to existing cryptographic systems, there is a pressing requirement to create resilient alternatives. This study delves into innovative approaches, drawing from quantum-resistant cryptographic primitives, lattice-based cryptography, code-based cryptography, and hash-based cryptography. By examining the …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 18–22 Read article
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Predicting Multiple Diseases Using Machine Learning: A Data-Driven Approach
Abstract: The increasing prevalence of chronic and life-threatening diseases highlights the need for innovative healthcare solutions that enable early detection and proactive management. The Multiple Disease Prediction Platform is a web-based system utilizing machine learning (ML) and deep learning (DL) algorithms to analyze user-inputted health data, generating real-time predictions of potential health risks. By leveraging Python’s Streamlit library, the platform provides an interactive and accessible diagnostic experience, eliminating the need for …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 16–35 Read article
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Contribution Of Indian Historical Technology To Development The AI
Abstract: The Indus Valley Civilization (3300–1300 BCE) was among the first in the world to develop advanced metallurgy. They created bronze tools, copper vessels, and intricate metal ornaments. A testament to ancient Indian metallurgy, this rust-resistant iron pillar, built during the Gupta Empire, still stands without significant corrosion, demonstrating an advanced understanding of material science. The study examines key texts and technologies, including Panini’s Ashtadhyayi (a formal system of grammar resembling …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 3, 2025 Read article
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Faulty Object Detection by Image Processing Based on Modified Back-Propagation Algorithm of Artificial Neural Network
Abstract: The conventional algorithms such as canny edge detection require so much computation which makes it more time consuming. Hence it is not used for industrial applications such as damage detection because each product should be analyzed in a fraction of seconds so that the manufacturing rate of the industry should not be affected. Hence Artificial Neural Network can be used for edge detection. Though it requires a lot of time …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 3, Issue 2, 2016 · pp. 19–25 Read article
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Finest Round Robin Scheduling Algorithm using Effective Time Quantum
Abstract: Scheduling is a most important task of operating-system function. Almost all computer resources are scheduled before use. CPU scheduling is the main task of multi -programmed operating systems. By switching the CPU among processes, the operating system can make the computer more effectively [1]. The CPU is one of the primary computer resources so its scheduling is central to operating-system design. In a simple computer system, the CPU then just …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 1, Issue 1, 2014 · pp. 4–8 Read article
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Approximation-Aware Computation for Graceful QoS Degradation in Modern Multiprocessor Operating Systems
Abstract: Modern multiprocessor operating systems face unprecedented challenges in maintaining Quality of Service (QoS) guarantees under dynamic workload conditions and resource constraints. Traditional approaches to resource management often result in abrupt service degradation or complete task failure when system resources become scarce. This study presents a comprehensive framework for approximation-aware computation that enables graceful QoS degradation in multiprocessor environments. We explore the integration of approximate computing paradigms with operating system schedulers, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 3, 2025 · pp. 08–15 Read article
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From Documentation to Digital Stewardship: A Bibliometric Analysis of the Technological Transformation in Indigenous Knowledge Management
Abstract: This bibliometric study systematically maps the technological evolution of Indigenous Knowledge Management (IKM) over a 30-year period (1995–2025). It aims to identify the conceptual shifts and emerging technologies defining the transition from passive digital documentation to active algorithmic stewardship. The study utilises a scientometric approach to analyse a corpus of 835 unique documents retrieved from the Scopus database. Scientific-mapping techniques, including thematic evolution and keyword co-occurrence analysis, were performed using …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 Read article
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Advanced Dynamic Source Routing Protocol Based on Cuckoo Search Algorithm for Performance Enhancement in MANETs
Abstract: In this paper, a cuckoo search (CS) algorithm based advanced dynamic source routing (ADSR) protocol is proposed to identify and anticipate selective black hole attack or gray hole attack in MANETs. The nature inspired cuckoo search algorithm aids in finding new solutions that can be substituted for the existing ones if found superior. The simulation results show that the use of cuckoo search algorithm with ADSR protocol gray hole attack …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Design and Implementation of SRFFT Algorithm Using Floating Point Arithmetic
Abstract: In this world, because of advancing in technology, there is a growing need for people to communicate with each other without delay. Speed is very important in all aspects. It can be improved by reducing arithmetic complexity. At the same time accuracy is also very important. In general, FFT/IFFT is used as a modulation/demodulation kernel in the OFDMsystem. Several techniques are introduced for FFT/IFFT like radix 2 FFT, radix 4 …
Published in Recent Trends in Parallel Computing · Vol. 3, Issue 2, 2016 · pp. 1–8 Read article
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Automating Compiler Optimization: A Machine Learning Approach
Abstract: This study reports on an ML-based approach to compiler optimization, complementing traditional optimization methods that rely strongly on hand-tuned settings. Compiler optimization plays a key role in performance-speedup and energy optimization of complex contemporary software systems. However, the traditional approach to optimizer settings involves laborious, error-prone, and scale-insensitive human-in-the-loop intervention, especially in the complex and high-demand environments in which today's computing application thrives. By integrating RL and GA, we can …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 12–16 Read article