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727 articles for “Computer Algorithms”
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Secure Framework for Government Tender Allocation
Abstract: Governments and public sector entities worldwide are actively seeking innovative strategies to adapt to rapid technological progress, aiming to enhance governance effectiveness, streamline work processes, and optimize expenditure. Blockchain technology stands out as a prime example, captivating the interest of governments globally in recent years. Its ability to offer heightened security, enhanced traceability, and cost-efficient infrastructure positions blockchain as a versatile solution applicable across diverse sectors. Typically, governments engage third-party …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 23–27 Read article
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IOT based Smart Traffic Signal Violation Monitoring System using Edge Computing
Abstract: Monitoring the traffic signal surveillance camera by a group of police administrators can be a daunting task due to the sheer volume of data(videos)that must be collected and analyzed. In developing countries such as India, traffic police department need a easy way to catch the vehicle owners who have violated the traffic signal rules. Currently, they are collecting the video near the traffic signal for 24*7 and the administrators are …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 2, 2020 · pp. 10–16 Read article
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Mario Ai Model Using Gaming Reinforcement Learning
Abstract: It is essential for research on computational and/or artificial intelligence (CI/AI) applied to games to have relevant games to apply AI algorithms to. This is pertinent. It doesn't matter if one is studying how to use CI/AI techniques to test and improve AI (e.g., games provide challenging yet scalable problems which engage many central aspects of human cognitive capacity) or how to use CI/AI techniques to improve games (e.g., player …
Published in Journal of Instrumentation Technology & Innovations · Vol. 14, Issue 2, 2024 · pp. 1–6 Read article
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The Coordinated Approach for Reactive Power Management of Deregulated Electricity Market
Abstract: RPM is an important ancillary service, especially in deregulated energy environment which contains two major areas: reactive power purchase and reactive power dispatch. Various technical and economic issues need to be considered in this market. This work shows RPD as the main optimization problem. As optimized electric power dispatch is important problem in electrical power systems. Cost infimumization, voltage stability improvement, losses minimization, and terminal voltage deviation minimization are important …
Published in Journal of Power Electronics and Power Systems · Vol. 9, Issue 2, 2019 · pp. 5–14 Read article
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The Impact of AI-Driven Decision-Making on Consumer Behavior and Sustainable Consumption Patterns in Modern Management
Abstract: The accelerating integration of Artificial Intelligence (AI) into business management systems has fundamentally transformed the dynamics of consumer decision-making and organizational marketing strategies. This paper investigates the multidimensional impact of AI-driven technologies, including predictive analytics, recommendation engines, chatbots, natural language processing, and machine learning algorithms, on consumer behavior and sustainable consumption patterns within contemporary management frameworks. Drawing upon a comprehensive synthesis of empirical studies, theoretical literature, and bibliometric analyses, the …
Published in Journal of Production Research & Management · Vol. 16, Issue 2, 2026 · pp. 12–19 Read article
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Enhancing Wildlife Tourism Management Using Deep Learning and Particle Swarm Optimization (PSO) for Animal Detection in Wildlife Sanctuaries
Abstract: Wildlife tourism is one of the most thriving sectors, faced with huge challenges in terms of safeguarding protected areas. As demand for wildlife experiences accelerates, it becomes necessary to find efficient measures that are friendly to conservation. The use of these advanced techniques in this field such as YOLO and PSO algorithm presents a new dimension on managing wildlife tourism. To harness the abilities of these techniques, this research centers …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 41–50 Read article
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Revolutionizing Agriculture with Advanced Computer Vision Technologies
Abstract: The integration of computer vision technology in smart agriculture has marked a significant advancement in the way farming operations are conducted, leading to enhanced productivity and efficiency. This paper explores the multifaceted applications of computer vision, which include crop monitoring, disease detection, automatic harvesting, and quality inspection. By utilizing high-resolution imaging and advanced algorithms, farmers can achieve real-time insights into crop health and growth stages, enabling them to make informed …
Published in Journal of Electronic Design Technology · Vol. 16, Issue 2, 2025 · pp. 24–30 Read article
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Proposed System: Quantum Computing Processor Based on Linear Number Relation
Abstract: This paper details the design and implementation of a specialized quantum processor tailored for efficiently evaluating custom mathematical formulas. Optimized to perform a specific set of arithmetic and logical operations, this processor delivers a stable and high-performance computing platform. Unlike general-purpose quantum processors, which are designed for versatility across a wide range of algorithms, this dedicated processor aims to enhance performance and accuracy for a targeted set of tasks. The …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 3, 2024 · pp. 24–32 Read article
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A GLRD based Receiver design using OBEB algorithm for MIMO system
Abstract: This paper gives the performance comparison of a MIMO system applying a modified branch-estimate-bound (MBEB) and ordered branch-estimate-bound (OBEB) algorithms of generalized likelihood ratio detector (GLRD) in the presence of channel estimation error. Here, two sources of errors like, errors due to noise and errors due to time variations induced by Doppler effects are considered. The GLRD solves the transmitted symbols using joint channel symbol estimation by combining the channel …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 1, Issue 1, 2014 · pp. 11–15 Read article
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Data Handling Algorithms for the Healthcare System for the Prediction of Diabetes in Health Data Science (HDS): A Review Report
Abstract: In recent years, diabetes has become the biggest disease in different countries around the world. This disease is caused by adulteration in food ingredients, unhealthy food habits, a lack of physical exercise, and changing the lifestyle every time without a routine chart. The main objective of this review paper is to provide a proper understanding of the machine learning algorithm used in the healthcare system to handle diabetic patients' data. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Stress based topology optimization of axial tubes under impact to improve energy absorption
Abstract: The present study is aimed at designing a stress constrained topology optimized tube to improve the specific energy absorption (SEA) and reduce the peak crushing force. The research was aimed to develop an axial tube to withstand high impact loads thus improving the crash worthiness of the structure. Crash analysis of a 3D deformable circular tube having different thickness of 0.5 mm, 1 mm, 1.5 mm and 2 mm with …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 210–220 Read article
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Implementation of an Adaptive Filter Algorithm with Subband Filtering Approach on Acoustic Echo Cancellation
Abstract: This paper focuses on model and its realization on digital signal processors (DSP) for suppressing annoying acoustic echoes in telephone and mobile communication applications. For cost sensitive subscriber devices and high quality voice communications the aims are 1) minimum computational complexity 2) maximum convergence speed and 3) maximum echo attenuation. The chosen method for the echo cancellation involves a sub band decomposition performing the adaptive filtering in subbands at a …
Published in Current Trends in Signal Processing · Vol. 4, Issue 3, 2014 · pp. 28–34 Read article
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A Review and Analysis of Improved Cryptography Algorithm
Abstract: This review paper discusses attacks on the advanced encryption standard algorithm called Rijndael. Earlier, the best attack on Rijndael compromised up to six rounds of the algorithm. The original attacks require nearly the entire Rijndael codebook, which is impractical even for an adversary with high computing power. The complexity of the original attack was 272. This article attempts to reduce the complexity of the attack to 244. A partial sum …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 4, Issue 1, 2016 · pp. 13–16 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Hardware Design using Flexible Hk-Means
Abstract: High performance hardware is required to meet the necessities of consumer electronics. Color quantization and image partition are an inevitable part for different applications, and HKMeans is the main algorithm that is used for color quantization and image partition owing to its low cost, less computational time and the hardware area required. The computational time and the hardware area increases as the quantization number increases. Hierarchical K-means or HK-Means is …
Published in Journal of Electronic Design Technology · Vol. 6, Issue 1, 2015 · pp. 30–35 Read article
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The Importance and Misconceptions of Artificial Intelligence in Industry and Academia
Abstract: Artificial Intelligence (AI) has been making remarkable advancements in various industries and academia. AI has been used by businesses to increase productivity, improve efficiency, and make factbased decisions. For example, AI is being used in finance for fraud detection, in healthcare for diagnosis and treatment planning, and in retail for personalized customer experiences. On the other hand, academia has been at the forefront of AI research and development, with a …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 3, 2022 · pp. 40–44 Read article
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AI-Optimized Itinerary Design: Transforming the Future of Travel Planning
Abstract: The travel industry is struggling to meet the rising demand for efficient and personalized trip planning. Traditional methods often lack real-time updates and fail to adapt to individual preferences, necessitating innovative solutions. This study presents an AI-powered travel planner utilizing the Gemini API to enhance itinerary creation. By analyzing user preferences, interests, and real-time data, the system delivers tailored travel recommendations. Leveraging advanced technologies such as cloud computing, machine learning, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 74–82 Read article
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AI-Based Intelligent Traffic Signal Management System: A Review
Abstract: Traffic congestion is a growing problem in urban areas worldwide, leading to economic losses, increased pollution, and commuter frustration. Traditional traffic management systems rely on fixed timing cycles and lack adaptability to real-time traffic conditions. Intelligent traffic light control systems based on artificial intelligence (AI) have become a viable substitute for traditional techniques. These systems are able to evaluate large volumes of traffic data in real time, identify patterns, and …
Published in International Journal of Electronics Automation · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Dynamic Testing Of Soft Computing Techniques
Abstract: Software Testing plays an crucial role in the software development lifecycle as it is used to enhance the quality and increase the reliability of software. Software testing successfulness is always determined on the basis of generated test cases and their prioritization. So, it consumes more effort, time and cost. Today, a huge number of soft computing based approaches are available for better exactness in testing. This paper aim is to …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 1, 2018 · pp. 31–39 Read article
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Optimal Thermal Generating Unit Commitment via Evolutionary Algorithms: A Review
Abstract: This paper presents a literature survey of economic load dispatch problem. The economic load dispatch (ELD) is one of the most important optimization problems of electrical power system. The aim of the ELD problem is to determine the power productions of total generating units from a system in order to have minimum fuel cost, and to meet the all constrains. Solving ELD involves conveying a precise model of optimization and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 3, Issue 2, 2016 · pp. 26–32 Read article