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348 articles for “Algorithms”
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A Study of 3D Printing Technology and M.L. Algorithms for Enhanced Production
Abstract: Abstract The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 6–15 Read article
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Facial Emotion-Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human–computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using convolutional neural networks and Haar Cascade classifiers. The suggested method uses convolutional neural network to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing of the input photos, followed by face …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 1–11 Read article
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Facial Emotion Based Stress Detection Using CNN and Haar Cascade Algorithms
Abstract: Understanding human conduct requires the ability to recognize facial emotions, which has applications in everything from human-computer interaction to psychological wellness monitoring. This research provides a new approach to stress detection using Convolutional Neural Networks (or CNNs) and Haar Cascade classifiers. The suggested method uses CNN to recognize facial expressions and Haar Cascade algorithm for face detection. The methodology begins with preliminary processing the input photos, followed by face detection …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 41–50 Read article
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Optimal Power Flow Incorporating Static Var Compensator using PSO Algorithm
Abstract: Abstract This paper presents a Particle Swarm Optimization based algorithm for Optimal Power Flow (OPF) incorporating Static VAR Compensator (SVC). Optimal power flow is an essential tool for the proper operation and planning of modern power systems. The main objective of an OPF is to find a stable operation point which minimizes the active power generation cost while satisfying the system and network constraints as generator capacity limits, power balance, …
Published in International Journal of Distributed Computing and Technology · Vol. 1, Issue 1, 2015 · pp. 1–10 Read article
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Algorithmic Approaches for Data Mining and Machine Learning
Abstract: ABSTRACTTrends and technology always innovative and comes with some new. Sometimes technologies are introduces in more user friendly environment. In such version of technology advancement are also incorporated. Data mining is a best widespread knowledge attainment approach for knowledge discovery. The naval trends Machine learning also have a big interfere of data mining. Infect most of the data mining algorithm and methods are utilized for machine learning with minor amendment …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 2, 2020 · pp. 24–29 Read article
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AI for Social Networks: Applying Innovative Algorithm to Reach Mob
Abstract: The power of “Artificial Intelligence (AI)” can be applied to a number of platforms, including social media platforms like "Facebook" and "LinkedIn," which uses AI to understand human datasets in pools. Up to 3 billion people use social media around the world to create data in as many ways as possible. This is where AI comes in to manage the true value of vast data. In this virtual era of …
Published in International Journal of Distributed Computing and Technology · Vol. 7, Issue 2, 2021 · pp. 24–32 Read article
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Investigations of Diabetic Retinopathy Algorithms in Retinal Fundus Images
Abstract: Diabetic Retinopathy (DR) location is a point of high enthusiasm for therapeutic picture investigation since the examination of DR is essential for finding, treatment arranging and execution, and assessment of clinical results in ophthalmology. Programmed or self-loader DR location can bolster clinicians in playing out these undertakings. Diverse restorative imaging methods are at present utilized in clinical practice and a suitable decision of the identification calculation is required to manage …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 14–26 Read article
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A Study of Application of No Regret Learning Algorithm for Development of a Career Counselling Software
Abstract: This paper explores the application of “no regret learning algorithms” in the development of a career counselling software, aimed at providing individuals with personalized and data-driven career guidance. By harnessing the power of machine learning methods, this groundbreaking approach provides a flexible and responsive system designed to aid users in making well-informed choices regarding their career trajectories. The software incorporates user profiling, reward modelling, continuous feedback mechanisms, and ethical considerations …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 37–43 Read article
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Acoustic Echo Cancellation using LMS Algorithm
Abstract: Echo results due to reflection of sound waves from various surfaces like walls, mountain, curtains etc. When the reflected sound arrives after more than 0.1s of the original sound, then it is heard distinctly, and called as echo. Echo may be some times desirable and pleasant but especially in telecommunication, echoes are erroneous. There are two types of echo that arise in telecommunication, viz. acoustic echo and line echo. Both …
Published in International Journal of Broadband Cellular Communication · Vol. 2, Issue 2, 2016 · pp. 8–21 Read article
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A Technical Review on Comparison of Speech Enhancement Algorithms
Abstract: The use of mobile speech communication devices has increased by manifold. Mobile communication technology is providing us the mobility and exhibility to communicate irrespective of place and time. The result is that the mobile voice communication systems are often used in high acoustic background noise environment. In such circumstances speech communication suffers from lack of pleasantness and/ intelligibility. To make voice communication intelligible and pleasant in such noisy environments, we …
Published in International Journal of Digital Communication and Analog Signals · Vol. 2, Issue 1, 2016 · pp. 31–39 Read article
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Securing Internet-of-Things Data in a Healthcare Surveillance Network with a Hybrid Encryption Algorithm
Abstract: IoT-based healthcare solutions are used for remote healthmonitoring and diagnostics to minimize the cost of health careservices. Secure data communication is crucial for treatmentand monitoring. Furthermore, it is vital to safeguard thepatient's information from abuse and data manipulation whileit is in transit because other devices can easily trace it. IoTnetworks have limited CPU capability, memory, and power,making performing the expensive operations required byciphering algorithms challenging. As a result, they require …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 9, Issue 1, 2023 · pp. 25–35 Read article
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Study of Shape from Focus Algorithm
Abstract: Computer vision incorporates various three dimensional (3D) vision techniques which mainly aims at reconstructing a scene from a set of two dimensional (2D) images. Passive 3D vision techniques such as stereo vision require disparity between the images of the same scene taken from multiple views. Shape from focus (SFF) is a technique which recovers 3D geometry of the scene based on focus which is an accommodation cue. Multiple images of …
Published in International Journal of Computer Aided Manufacturing · Vol. 1, Issue 2, 2016 · pp. 13–20 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Convolutional Neural Network Algorithm for Stress Field Approximation for a Uniaxially Loaded Plate with Holes
Abstract: ABSTRACTKnowing the high stress concentration and its location around a hole is of practical importance in designing engineering structures, effective parameters can be selected in order to achieve minimum stress concentration around the hole(s). The visualisation of the stress distribution is done experimentally or numerically using finite element analysis (FEA). This study involved the approximation of the von Mises stress field distribution around regular holes in finite metallic plates, based …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 1–12 Read article
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Detection of Brain Tumor Using K-means Clustering Algorithm
Abstract: A brain tumor is a dangerous medical illness that, if not treated promptly, can be fatal. Therefore, it becomes essential to find the tumor early on in order to organize therapy as soon as possible. A brain tumor is the result of the growth of abnormal cells in the brain. Brain tumors come in many different forms. The majority of brain tumors are malignant (cancerous); however, some are benign (noncancerous). …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 2, 2023 · pp. 1–9 Read article
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Recent Advances in Hand Gesture Recognition: A Review of Algorithms and Applications
Abstract: When it comes to human communication, hand movements are crucial in sign language. People who are Deaf or Hard of Hearing communicate with hand gestures. The experimental plan of action makes use of a reasonably priced, solid-position web camera with a 10 mega pixel resolution that is mounted on the computer monitor's outer border. It takes pictures using Red, Green, and Blue [RGB] to enlarge space from a tight distance. …
Published in International Journal of Analog Integrated Circuits · Vol. 9, Issue 2, 2023 · pp. 22–28 Read article
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TCP Security Action Prediction Algorithm based on Machine Learning: A Review
Abstract: The growing range of applications available on the Internet and continuous technological improvements have led to an increase in network security incidents and cyber-attacks. Consequently, computer network security is becoming more and more important. Network security can be allowed or prohibited by a TCP firewall; a device used for computer network security. When utilising classic firewalls, network managers must periodically choose which packets to admit and prohibit to keep computer …
Published in International Journal of Digital Communication and Analog Signals · Vol. 9, Issue 1, 2023 · pp. 21–26 Read article
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A Comparison of Load Flow Analysis Using Newton–Raphson, Gauss–Seidel and Fast Decoupled Load Flow Algorithms
Abstract: The state of power system and the methods of computing this state are very necessary in appraising the operation of the power system. The state of the power system is calculating the static performance by using the load flow analysis. These analyses involve the calculation of various load flows under normal and abnormal operating state. There are numerous methods to resolve the load flow of a specified system. These are …
Published in International Journal of Electrical Power System and Technology · Vol. 1, Issue 2, 2015 · pp. 82–86 Read article
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Power and Body-Bias Optimization for FD-SOI Systems-Via Simulations and Algorithms
Abstract: The field of Integrated Circuits is very vast from digital to analog circuits dealing withvarious types of digital circuits our paper deals with the CMOS digital circuits poweroptimization. The paper deals auto-characterizing different FD-SOI circuits with certainmachine learning techniques verifying their outputs along with managing power losses andbody bias voltages in different temperature conditions the machine learning techniques helpoptimize power losses by varying body bias voltages according to the functional …
Published in International Journal of Electrical Power System and Technology · Vol. 6, Issue 1, 2020 · pp. 45–55 Read article
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Genetic Algorithm for Automatic Generation and Optimization of Course Timetable
Abstract: Creating a timetable is a very complex problem with multi-dimensional data. Generating these timetables manually comprises of various rounds of adjustments, to make the solution more gratifying. In this project a system will be proposed which produces an excellent solution for the timetabling problem. Here, the system will take various inputs from the users and produce the weekly timetable as output for them.
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 6, Issue 2, 2020 · pp. 12–19 Read article