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727 articles for “Computer Algorithms”
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Scheduling of Autonomous Robots in the Flexible Manufacturing System
Abstract: Fast adaptability and high flexibility have made use of autonomous robots (ARs) a popular choice for different material transfer activities in the flexible manufacturing systems (FMSs). The ARs are observed to be highly capable and flexible for integration with computer-controlled machine tools, producing different types of jobs in the FMS. The integrated scheduling of production operations on the machine tools and material transfer operations of ARs in the FMS can …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 3, 2019 · pp. 1–7 Read article
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Applying the XML-based Technique to Support Keyword Search in Graph Data
Abstract: Graphs have been important and proper structures to represent data with complex relationships in the Web, and keyword search provides a convenient way to querying graphs. Some researchers considered to return r-cliques as answers for keyword search in graph databases. Such concepts can retrieve meaningful information effectively, but the existing approach is computationally expensive. In this paper, we propose to utilize the efficient technique originally designed for keyword search in …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 25–32 Read article
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Recent Advances in Smart Polymer Composites for Plant Health Monitoring: A Strategic Integration of Sensing Mechanisms and Computational Intelligence
Abstract: Plant health assessment is crucial for agricultural production and food security, as plant diseases significantly affect crop yields and quality. This paper reviews the applications of polymers and composite materials in the evaluation of plant health, focusing on both natural and artificial polymers, carbon materials, and polymeric–nanoparticle composite materials. Various types of sensing principles, such as colorimetry, fluorimetry, surface plasmon resonance (SPR), surface enhanced Raman scattering (SERS), and interferometry, are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1135–1144 Read article
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Predicting and Prohibiting the Risk of Heart Failure Using Machine Learning
Abstract: It is challenging to estimate the likelihood of complex chronic disease while treating conditions like heart failure. The application of machine learning, an area of artificial intelligence, in cardiovascular care is growing quickly. In essence, it defines how computers classify and understand data, or choose a task with or without human intervention. The theoretical underpinnings of machine learning are models that accept input data (such as images or text) and …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Deep Reinforcement Learning-Based Intelligent Energy Management Strategy for Battery–Supercapacitor Hybrid Energy Storage Systems in Electric Vehicles
Abstract: As the number of EVs increases, smart solutions for energy management are needed that will optimize energy use, prolong battery life and boost vehicle performance. The application of conventional rule based and optimization-based Energy Management Strategies (EMS) for Battery–Supercapacitor Hybrid Energy Storage Systems (HESS) often leads to sub-optimal power management, supercapacitor mismatch and battery degradation when subjected to varying driving conditions. This study aims to design an intelligent energy management …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Dependence of Fidelity of Quantum Teleportation for Pure State on Degree of Entanglement
Abstract: Quantum information and computation has been a rapidly evolving field. As Landauer pointed out, information is physical, so it should not look strange to try to bring together quantum mechanics and information theory. Indeed, it was soon realized that it was possible to use the laws of quantum physics to perform tasks which are unconceivable within the framework of classical physics like quantum teleportation, superdense coding, quantum cryptography, Shor’s factorization …
Published in Research & Reviews : Journal of Physics · Vol. 1, Issue 1, 2012 · pp. 11–15 Read article
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Machine Learning Revolutionizing Server Management and Performance
Abstract: The modern data center is a complex and dynamic environment, grappling with ever-increasing workloads, stringent performance demands, and the constant pressure for cost optimization. As such, applying machine learning (ML) directly to the server infrastructure offers a powerful avenue for achieving advanced automation, resource optimization, and proactive problem resolution. This article explores the transformative potential of integrating machine learning into server systems, leveraging insights gleaned from the abstract and conclusion …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 36–44 Read article
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Inligence Cloud: Cloud-based Financial Analytics Platform
Abstract: Data analysis is an essential aspect of modern research and business decision-making. With the increasing amount of data being generated, the need for efficient and effective data analysis software is becoming more crucial. This software offers a range of features, including data visualization tools, statistical analysis capabilities, and machine learning algorithms. Users can import data from various sources and formats, including spreadsheets, databases, and CSV files. The software’s interface is …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 1, 2023 · pp. 43–52 Read article
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Performance Comparison of Multi-hop Wireless Ad Hoc Network Routing Protocols using NS2
Abstract: Mobile Ad Hoc Networks (MANET) is a collection of wireless mobile nodes that forms a temporary network without any administrative support. Ad Hoc Networks are characterized by multi-hop wireless connectivity because of limited transmission range, it’s dynamically changing network topology requires efficient routing protocols. Over the years, many routing protocols have been developed for such environments like; Ad Hoc On-demand Distance Vector routing (AODV), Temporary Ordered Routing Algorithm (TORA), Dynamic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 3, Issue 1, 2016 · pp. 24–33 Read article
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Improve the Performance of Proxy Caching Using LRU, AVL Tree and BST
Abstract: Proxy caching is increase the performance to access the web pages. Multiple computer in a network uses multiple cache for better performance. Caching of Multi-level normally works through testing the minimum load cache. Uncertainty you miss a lower level cache than the search for next level cache. This paper will study L1 cache such as the primary cache and L2 cache such as the secondary form of cache of the …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 1, 2020 · pp. 13–20 Read article
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Keras Based Real-time Hand Gesture Recognition
Abstract: Everyone can communicate effectively with hand gestures. Hand gesture recognition, as opposed to the traditional text-based or GUI-based method, can be viewed as a way for computers to better grasp the language of the human body and develop richer human-computer connections. Hand gestures can help to simplify tasks by allowing you to give orders to the computer using simple hand movements. The camera records gestures, the computer interprets them, and …
Published in Journal of Operating Systems Development & Trends · Vol. 9, Issue 1, 2022 · pp. 10–16 Read article
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Big Data, Big Impact: The Role of Analytics in Modern Business
Abstract: In modern business, “Big Data” signifies the vast amount of data collected from various sources, and “Big Data Analytics” refers to the process of analyzing this data to extract valuable insights, enabling companies to make data-driven decisions, optimize operations, better understand customers, and ultimately gain a competitive edge by identifying trends, patterns, and opportunities that might otherwise be missed. This study analyzes large datasets, by which businesses can gain deeper …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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Hybrid Graceful QoS Degradation in Distributed Operating Systems
Abstract: Maintaining Quality of Service (QoS) in distributed operating systems is a critical challenge, especially in dynamic and resource-constrained environments. Traditional QoS mechanisms often fail to adapt effectively to unforeseen failures or load spikes, leading to abrupt service disruptions. This study reviews the concept of hybrid graceful QoS degradation, a paradigm that combines multiple strategies to ensure continuous, albeit potentially reduced, service availability. By intelligently integrating techniques like resource reservation, priority-based …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 01–07 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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Deep Learning Applications: An Overview
Abstract: It is essential that the data be handled with accuracy, and certain exercises are carried out so that the computers can think and act on their own, which is where the advanced time of Deep Learning comes in. A computer needs access to earlier information and interactions in order to think. The use of Deep Learning in diverse geographies will be discussed in this study. Many experiments have been conducted …
Published in Journal of Advancements in Robotics · Vol. 9, Issue 2, 2022 · pp. 8–15 Read article
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Integrating Sensor Technologies for Modern Soldier Sentinel Systems
Abstract: The Soldier Sentinel Sensor System (S4) is a cutting-edge technology developed for enhancing situational awareness and safety for military personnel in operational environments. This abstract provides an overview of the key features and benefits of the S4 system. S4 integrates advanced sensor technologies, including biometric sensors, environmental sensors, and location tracking modules, into a wearable and robust platform. The system continuously monitors vital signs, such as heart rate, body temperature, …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 6–11 Read article
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Application of Dynamic Phasor Model as an Alternative to DFT in Phasor Measurement
Abstract: This paper presents the application of dynamic phasor based models as an alternative to the Discrete Fourier Transform (DFT) commonly used in the Phasor Measurement Units (PMU). The paper demonstrates that the computation of a phasor using DFT in discrete time domain is equivalent to the computation of phasor (Dynamic Phasor) in continuous time domain. This paper proposes the application of dynamic phasor based models to simulate a Wide Area …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 46–52 Read article
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Cyberattack Detection System in Private Cloud
Abstract: As cloud computing adoption in colleges continues to rise, the security of private cloud systems has become a paramount concern. Data breaches resulting from cyberattacks can inflict severe damage to a university's revenue and reputation. This research proposes a novel machine learning-based cyber threat detection system tailored to the university's private cloud environment. The system's main objective is to continuously monitor the cloud infrastructure and employ advanced machine learning algorithms …
Published in Recent Trends in Parallel Computing · Vol. 10, Issue 2, 2023 · pp. 37–44 Read article
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Home Automation System Using IoT
Abstract: The proposed project puts forward a systematic implementation of internet of things (IoT). Since, the technology is becoming more advanced day-by-day. Therefore, manual systems are being replaced by the automatic system. Today, the internet has become an integral part of life. The idea that devices can be controlled remotely across the world is made possible by IoT—the interconnection of devices via a global network. This paper deals with the home …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 11, Issue 1, 2023 · pp. 24–30 Read article
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Representation of Knowledge Involving Soft Fuzzy Numbers and Its Application in Decision Making Problems
Abstract: In this study, we introduce the concept of a soft fuzzy number and study its arithmetic operations, a fuzzy number valued measure and an aggregation operator on the collection of soft fuzzy numbers. In real life situations, the perception of characteristic feature of an entity or a collection of entities is expressed by us as soft fuzzy number valued information system, so that the loss of information in understanding the …
Published in Recent Trends in Parallel Computing · Vol. 6, Issue 1, 2019 · pp. 38–47 Read article