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729 articles for “Computer Algorithms”
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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Real-Time Attendance System using Face Recognition Using OpenCV and Firebase Realtime Database
Abstract: The Facial Recognition Attendance System now a days revolutionizes traditional attendance tracking by seamlessly integrating cutting-edge image processing with the capabilities of Firebase Realtime Database. This user-friendly solution simplifies and transforms the attendance management experience. Imagine an intuitive interface utilizing facial recognition technology to effortlessly track attendance. Leveraging advanced face detection algorithms and the enchantment of computer vision, our system ensures accurate face recognition, making each individual unmistakably identifiable. Beyond …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 2, 2026 Read article
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Surveillance Patrol Robot for People Tracking in Indoor Environments
Abstract: There is a great challenge that a mobile robot reliably and continuously tracks a specific person in indoor environments. In this paper, a novel method is presented, which can effectively recognize and reliably track a target person based on mobile robot vision. Such a robot is equipped with a camera which senses a moving object and starts tracking the object. The on-board camera develops a computer vision system for detection …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 3, 2014 · pp. 17–23 Read article
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A Survey of Online Learning Algorithm
Abstract: Online learning is an active research area, which emerges in the last decade and has been considered as a subset of machine learning. Although, there is limited advancements has been made due to its high processing environment ultimately delaying its real-time applicability. In this study, we studied the various techniques with which the online learning algorithms have been able to successfully embark the results over the World Wide Web. It …
Published in Recent Trends in Parallel Computing · Vol. 2, Issue 1, 2015 · pp. 6–9 Read article
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Automated Detection of Polycystic Ovarian Syndrome using Neural Network Algorithm
Abstract: The ovarian ultrasound imaging could be a good tool in infertility treatment. Monitoring the follicles is extremely important in human reproduction. Periodic measurements of the scale and shape of follicles over several days are the primary means of evaluation by doctors. Today monitoring the follicles is finished by non-automatic means with human interaction. This work could also be very demanding and inaccurate and, in most of the cases, means only …
Published in Recent Trends in Parallel Computing · Vol. 7, Issue 2, 2020 · pp. 9–13 Read article
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Representative Feature Selection for Efficient Clustering
Abstract: AbstractClustering is one of the widely used data mining techniques. In machine learning, it is an unsupervised learning method that needs training data to be used. The problem with clustering is that it is computationally expensive and takes more time for grouping high-dimensional data. Therefore it is necessary to reduce number of features in the high-dimensional data in order to make the search space reduced. Many techniques came into existance …
Published in Journal Of Network security · Vol. 5, Issue 2, 2017 · pp. 19–27 Read article
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Sound Source Localization Application on Nios II Embedded System
Abstract: This paper presents the software implementation of binaural sound source localization employing interaural time difference (ITD) method on NIOS system built on FPGA Altera DE2-70. Hardware components on NIOS system were configured and generated using SOPC builder. FFT based cross correlation algorithm was developed for ITD computation. The developed system was tested in a semi-anechoic room and used white noise as sound source. Best sound arrival estimation obtained for sound …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 3, Issue 3, 2015 · pp. 1–7 Read article
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A Novel Priority Based Task Scheduling Algorithm for the Cloud Integrated Sensor Network
Abstract: Load balancing and resource provisioning is the primary and challenging issue in Cloud computing. Client’s requests submitted in the Cloud environment will compete for the available resources in order to complete their execution in best possible minimum time. Many algorithms were advised to provide efficient mechanism for conveying the client's requests to available Cloud resources. The aim of this project is to provide comprehensive overview of the existing load balancing …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 2, 2018 · pp. 13–17 Read article
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Searching Substring in O(n) Time Complexity
Abstract: This research paper presents a highly efficient algorithm for substring search within a given string, achieving a remarkable time complexity of O(n). The proposed algorithm utilizes a two-pointer approach to compare the given string with the targeted substring. By employing string concatenation, the algorithm dynamically constructs a resultant substring during the matching process. Upon completion of character matching, the algorithm compares the resultant substring with the targeted substring and returns …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 9–15 Read article
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Parallel Genetic Algorithm for Fuel Bundle Burnup Optimization of Pressurized Heavy Water Reactor
Abstract: In this study, parallel genetic algorithm (GA) was applied to solve an optimization problem of nuclear fuel management pertaining to a 220 MWe pressurized heavy water reactor (PHWR). The study aims at finding appropriate values of reference discharge burnups of two zones of the reactor core which gives maximum fuel economy, while satisfying operational and safety-related constraints. This is a multiobjective optimization problem with four objectives and four constraints. Penalty …
Published in Journal of Nuclear Engineering & Technology · Vol. 6, Issue 1, 2016 · pp. 11–24 Read article
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A Study on Shortest Route Planning in Road Transportation Networks Using Remote Sensing Technology
Abstract: In the present scenario, information technology plays a major role in the world economics. If we get the timely information about the resources of the city then we could plan and manage its resources in a better way, for the economically and environmentally sustainable urban development. Land cover and the human or natural alteration of land cover play a major role in global scale patterns of climate. Rapid urbanization and …
Published in Journal of Computer Technology & Applications · Vol. 8, Issue 1, 2017 · pp. 23–28 Read article
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Brain Machine Interface: A Review of Current Technologies and Future Directions
Abstract: Brain Machine Interface (BMI) is a rapidly growing field that aims to establish direct communication between the brain and an external device. This technology has the potential to restore lost motor and sensory functions in people with neurological disorders or injuries. A brain-computer interface (BCI) is a technology that converts signals from the brain into instructions for computers or other gadgets. This innovation allows individuals to engage with their surroundings …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 1, Issue 1, 2023 · pp. 14–24 Read article
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Hand Gesture Recognition for Touchless Human–Computer Interaction
Abstract: As technology continues to evolve, traditional input devices like the physical mouse can become restrictive, particularly for individuals with physical impairment or those working in hands-free environments. Alternative interfaces have been developed in response to the desire for more accessible and natural ways to interact. To provide a more adaptable and inclusive human–computer interaction experience, this study offers a gesture controlled virtual mouse system that integrates voice command with hand …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 · pp. 21–29 Read article
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Computer Data Processing and Empirical Economics
Abstract: This is an article on empirical economics and computer data processing that discusses how computational technology have changed empirical research methods. It analyses how computer systems have changed data management, statistical modelling, and econometric analysis, focussing on large-scale data processing, algorithmic efficiency, and repeatability. Forecasting, policy simulation, and panel data analysis are key uses. The paper also addresses data quality, computational, and ethical issues in economic data use. The paper …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 · pp. 09–20 Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security Read article
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Intrusion Detection Using ANN Machine Learning for MIM, DOS, BO
Abstract: Intrusion detection system is a software program developed to use on computer systems so that it can identify intrusion attack with help of different techniques like the machine learning algorithms. The variety of assaults over the internet has multiplied through the years because of the development and smooth availability of computing technologies. Attackers develop new attack types, so in order to save you from those assaults, intrusion detection systems must …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 46–53 Read article
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Hybrid Scheduling Algorithm Based for the Effective Utilization of CPU
Abstract: Central Processing Unit is the part of a computer system that is responsible for executing the processes. CPU works according to the specified scheduling algorithm. The CPU scheduling algorithm directs the CPU when to switch over another process in the queue. Scheduling algorithm is an important part of every operating system. In this research paper a hybrid scheduling algorithm has been proposed for the effective utilization of CPU that is …
Published in Journal of Operating Systems Development & Trends · Vol. 3, Issue 1, 2016 · pp. 1–6 Read article
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Unoccupied Floor Extraction in Autonomous Mobile Robot Navigation
Abstract: AbstractConsidering the today’s atomization need, autonomous mobile robot navigation and arena exploration becomes most substantial research area. The majority of navigational issues are robot localization, on floor objects localization, deciding strategy for navigation. This paper address the method used to explore empty floor detection implemented on raspberry pi 3 which assistances autonomous mobile robot in terms of localization during safe navigation. The literature shows most of the localization algorithms uses …
Published in Journal of Electronic Design Technology · Vol. 8, Issue 2, 2017 · pp. 41–44 Read article
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A Supervised Learning Approach for Toxic Comment Detection on Social Media Platforms
Abstract: Nowadays everyone uses social media platforms like X (formerly Twitter), Instagram, Facebook, etc. for various purposes. With the help of this, we share our opinions, ideas, and feelings. Generally, the datasets obtained from the internet are constructive; however, there is a significant proportion of toxic ones. The datasets are filtered to remove noise, and noise is removed in post-processing. The study initiates with the upload and preprocessing of a toxic …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 7–14 Read article
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Principles of Interpolating Prognostication in Oncology
Abstract: AbstractThe precise prediction in oncology plays a critical role in prevention, treatment, assessment of the effectiveness of methods of treatment and treatment outcomes for cancer patients. Some medical researches claim that statistical processing (factor analysis) permits to precisely individualize the prognosis, which determines the possibility of an individual approach to monitoring and postoperative treatment of patients. However, factor analysis permits only creating a matrix of factors that can significantly describe …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 9, Issue 2, 2020 · pp. 39–51 Read article