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348 articles for “Algorithms”
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Use of Machine Learning Algorithms in Power System Load Forecasting: A review
Abstract: The electrical load forecasting has become one of the most important fields of research for secured, efficient, accurate, reliable power dispatch and management. The main aim of load demand forecasting is to predict the load demand for accurate generation scheduling, system security and economic dispatch of load at any time. Many Authors have done research on the evaluation of load forecasting methods, to improve the accuracy of prediction. In load …
Published in International Journal of Microwave Engineering and Technology · Vol. 7, Issue 1, 2021 · pp. 23–30 Read article
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Breast Tumor Classification Using Machine Learning Algorithm
Abstract: Breast cancer is characterized by genetic mutations, periodic pain, changes in the length, color (redness) and texture of the breast skin. The categories of most types of breast cancer led the pathologist to a systematic and objective prognostic analysis. In general, the most common category is binary (benign/malignant). Today, Learning Gadget (ML) strategies are widely used in breast cancer classification problems. Offers extreme accuracy and powerful diagnostic technology. It kills …
Published in International Journal of Microwave Engineering and Technology · Vol. 8, Issue 1, 2022 · pp. 35–40 Read article
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Performance Comparison of SRF-PLL and STF Control Algorithm for Power Quality Improvement
Abstract: Electrical power distribution system power quality improvement is a major issue. Controlling grid connected converters (GCCs) in adverse grid conditions is also a challenge. This condition cannot be ignored due to rapid growth in the use of inverter-interfaced renewable power generation sources and non-linear loads. The SRF (Synchronous reference frame)- PLL (Phase-locked loop) and extended self-tuning filter are simulated and compared under distributed power generation for mitigation of harmonics, reactive …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 7, Issue 2, 2021 · pp. 34–45 Read article
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Enhance the Efficiency of Mobility Model by Using K-Means Algorithm in Mobile Ad Hoc Network
Abstract: Mobile ad hoc network is one of the growing fields of research. There are lots of work done in this field but movability still a concerning area for ad hoc network. There is no need to maintain wired infrastructure and easy to maintain. Nodes are free to communicate and can move at any direction without taking others opinion. In this study, we introduced mobility models for the portability example of …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 4, Issue 2, 2018 · pp. 23–30 Read article
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OPTIMIZATION OF EDM PARAMETERS USING PARTICLE SWARM OPTIMIZATION ALGORITHM
Abstract: Aluminium metal matrix composites are increasing the applications such as automobile industries, aerospace industries ,marine as well as construction. The use of nonconventional machining techniques in shaping aluminum metal matrix composites has generated extensive interest as the manufacturing of complicated contours such as dies. Electrical discharge machining (EDM) tends to be a promising technique for machining metal matrix composites. Hybrid Al6061 composite reinforced with 10% SiC and 4% Graphite particles …
Published in International Journal of Composite and Constituent Materials · Vol. 1, Issue 2, 2015 · pp. 1–9 Read article
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Intelligent Gear Inspection: Defect Detection through Digital Image Processing Algorithms
Abstract: A significant contributor to poor reliability and a source of humiliation for businesses are gear problems. The majority of the inspection procedures used in these businesses are laborious and manually. More thorough and accurate inspection procedures are needed to improve accuracy in finding gear problems. The present work fills this gap by implementing a Gear Defect Recognizer that uses local thresholding in conjunction with computer vision methodology to spot potential …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 1, 2023 · pp. 13–21 Read article
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Assess Pain and Patients’ Perceptions of Pain Management in Poststernotomy Cardiac Surgery in Selected Hospital Settings of Punjab, With a View to Develop “Self-Assessment Sternal Precaution Algorithm”
Abstract: Background: Chronic poststernotomy pain is a well-recognized problem. Cardiac surgical patients are often rapidly recovered from anesthesia. The lower levels of sedation given to accelerate this process lead to higher rates of recall in intensive care particularly memories of pain. Method: In a prospective manner a cohort of 200 consecutive patients were evaluated for chronic poststernotomy pain one year after surgery. Participants were identified during the postoperative period by nonprobability …
Published in International Journal of Cardiovascular Nursing · Vol. 1, Issue 2, 2015 · pp. 12–29 Read article
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A Hybrid BPS-DCT Based Digital Image Watermarking Technique
Abstract: In this paper a hybrid algorithm using Bit Plane Slicing (BPS) and Discrete Cosine Transform (DCT) for digital image watermarking is proposed. There are two main requirements for digital image watermarking: imperceptibility and robustness. Imperceptibility is measured by Peak Signal to Noise Ratio and robustness is obtained by correlation between original and extracted watermark image. In this algorithm an image and watermark is first sliced into its bit planes using …
Published in International Journal of Digital Communication and Analog Signals · Vol. 7, Issue 2, 2021 · pp. 31–40 Read article
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Machine Learning Approaches for Customer Churn Prediction in Telecommunications
Abstract: Customer churn prediction is a critical challenge for companies in the telecommunications industry. The competition is intense, and acquiring new customers can be costly. Predicting when existing customers might leave (churn) helps companies take proactive measures to retain them, reducing churn rates and costs. By analyzing historical customer data, including demographics, service usage, billing, and customer service interactions, this study aims to identify customers at risk of leaving their current …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–7 Read article
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Personalized Movie Recommendations: Leveraging Machine Learning to Enhance Viewer Experience
Abstract: The film industry has experienced a tremendous surge in content creation over the past few decades, leading to an overwhelming array of movies across various genres and languages. As a result, movie enthusiasts often find it challenging to discover films that align with their unique preferences and tastes. To address this issue, the application of machine learning techniques for movie recommendation has gained prominence. An introduction to the idea and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Face and Speech Emotion Recognition
Abstract: The study “faces and speech recognition” underscores the critical role of speech emotion recognition (SER) and its diverse applications across various fields, such as medicine, human-computer interaction, and customer service. SER has gained significant importance in cognitive psychology due to its potential to enhance user experience, improve patient care, and optimize the interaction between users and products. The process involves the identification and extraction of essential features from speech signals, …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 35–43 Read article
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A Role of Machine Learning for Students' Academic Success Prediction
Abstract: This research paper aims to identify early predictions of students’ academic success with the help of different indicators. One of the crucial parts of the study is identifying additional indicators that play an essential role in defining students' academic success. Early prediction of success will be helpful for various stakeholders such as students, parents, educators/teachers, institutions, universities, and the government. Machine Learning is a part of Artificial Intelligence (AI) and …
Published in International Journal of Computer Aided Manufacturing · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Using Hybrid Method of PSO and Firefly Techniques for ELD
Abstract: This project presented an effective and reliable FFA technique for the economic load dispatch (ELD) problem using the PSO technique. The final results obtained that is, Hybrid algorithm (using PSO and Firefly algorithm) are compared with PSO and Firefly and found to be encouraging. This Hybrid algorithm is applied to find out the minimum cost for different power demands. With the compared results, we obtain that Hybrid algorithm displayed better …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 6–20 Read article
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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Theory, Concepts, Recent Advances, and an Example of Implementing Blockchain Technology
Abstract: Recently, the Blockchain technique has gained significant attention and is being increasingly adopted across various sectors. Blockchain is fundamentally a sequence of interconnected blocks, each storing essential information. This technology operates as a secure, distributed ledger that allows anyone to access and verify the data stored within it, ensuring transparency and trust. This paper provides a comprehensive overview of Blockchain technology, explaining its core concept, underlying principles, communication protocols, and …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 12–19 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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FPGA Implementation of the RC4 Stream Cipher using Artix-7
Abstract: The RC4 (for Rivest Cipher 4) encryption algorithm appeared in 1987. Its designer is none other than Ronald Rivest, one of the three inventors of the RSA algorithm. This algorithm is distinguished by its great simplicity and speed of encryption. The details of the algorithm were kept secret until a description, probably obtained by reverse engineering, was posted on the Cipherpunks mailing list in 1994. Speed and flexibility of RC4 …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 4, Issue 2, 2018 · pp. 9–14 Read article
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Efficient Control Strategies for Multiphase Interleaved Boost Converter in Photovoltaic Systems: A Modeling and Simulation Approach
Abstract: The main goal of this project is to create a Multiphase Interleaved boost converter with a solar module using the Maximum Power Point Tracking (MPPT) technique. Thus, the PV module is first examined in MATLAB with SIMULINK software. Just one diode here, a photovoltaic model is applied. The two environmental factors that have the biggest impact on PV cell properties are temperature and solar radiation. A three-phase interleaved boost converter …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 9, Issue 2, 2023 · pp. 29–48 Read article
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Artificial Intelligence Based Path Finding and Decision Making in First Person Shooting Game
Abstract: One of the most important components of the game business is artificial intelligence (AI). In this paper, we have looked at how artificial intelligence technology may be utilised to issues that exist during game development and the addition of additionalfeatures. Two algorithms—the bots decision-making and path finding—are studied in this research article. A few AI strategies are explored, along with how they might be applied to solve game-related issues. These …
Published in International Journal of Computer Aided Manufacturing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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A Study on OpenMP and Irregular Programming
Abstract: Programmers need better, more reliable techniques to build parallel programs. In the task-parallel programming paradigm, the programmer defines independent pieces of work, called tasks that may run in parallel. Geometric algorithms are wonderful examples for programming, because they are deceptively easy to do with your eyes, yet much harder to implement for a machine. The goal of parallel algorithm design is to develop parallel computational methods that run very fast …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 1, 2018 · pp. 32–39 Read article