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411 articles for “complex algorithms”
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Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Abstract: Interconnection of the power system utilities and grids presents a formidable challenge in front of design engineers. With the interconnections, power system has emerged as a more complex and nonlinear system. In recent years, small signal stability issues have gained much importance along with the conventional transient stability issues. Transient stability of the power system can be achieved with high gain and fast acting automatic voltage regulators (AVRs). However, AVRs …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 16–25 Read article
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Artificial Intelligence in Autonomous Military Weaponry Systems
Abstract: The rapid rise of artificial intelligence (AI) has transformed contemporary defence organizations, reshaping military structures, operational strategies, and the design and deployment of modern weapons. AI has significantly influenced the architecture, decision-making processes, and functionality of military systems, particularly in complex and rapidly evolving combat scenarios. This paper provides a comprehensive analysis of the growing use of autonomous military weapon systems, focusing on technological developments, regulatory challenges, governance gaps, and …
Published in International Journal on Drones · Vol. 2, Issue 2, 2026 · pp. 09–20 Read article
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Design and Development of Screw Detection System : A case study
Abstract: This study explores the design of a vision-based screw detection and orientation system for industrial automation, inspection, and robot disassembly. By integrating machine learning algorithms like region-based convolutional neural networks (R-CNN) with traditional image processing and impedance sensing, the system performs real-time screw presence detection, head type identification, and alignment. Three key technologies—deep learning classification, edge-based geometric analysis, and impedance verification—are integrated into a single modular system. The findings indicate …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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Developing a Comprehensive Framework for User and Entity Behavior Analytics (UEBA): Integrating Advanced Machine Learning and Contextual Insights
Abstract: User and Entity Behavior Analytics (UEBA) has emerged as a crucial approach in modern cybersecurity for detecting and mitigating insider threats, compromised accounts, and other malicious activities within organizational networks. However, existing UEBA frameworks often face challenges in scalability, detection accuracy, and response effectiveness. This research work proposes a novel framework for UEBA that aims to address these limitations and enhance threat detection and response capabilities. The framework integrates advanced …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 20–32 Read article
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Comparison of Tuning Methods of PID Controllers of Two Conical Tank System of Interacting Type
Abstract: The rapid increasing complexity of modern control systems has accentuated the idea of applying new modern approaches in order to solve design problems for various control engineering applications. This paper deals with the tuning of PID controllers for complex nonlinear process of two interacting Conical Tank Systems. Conical tanks play vital role in leaching extractions in pharmaceutical and chemical industries, as well as in food processing industry. It is a …
Published in Journal of Control & Instrumentation · Vol. 5, Issue 3, 2014 · pp. 8–14 Read article
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Bioinformatics in Veterinary Science: Unraveling Disease Patterns and Genomic Insights.
Abstract: Bioinformatics has emerged as a powerful tool in veterinary science, enabling the unraveling of disease patterns and providing valuable genomic insights. This article explores the application of bioinformatics in veterinary research, focusing on its impact on disease diagnosis, treatment, and prevention. By integrating large-scale data analysis, computational algorithms, and biological knowledge, bioinformatics has revolutionized our understanding of animal diseases, their genetic basis, and their interaction with the environment. The article …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 12, Issue 1, 2023 · pp. 21–26 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Privacy Enhancement on Internet of Things Using Differential Privacy Strategies
Abstract: AbstractWith recent developments in communication and data storage technologies, the Internet is gathering and storing an explosive amount of information. While such a large volume of data provides great opportunities for the exploration of knowledge, organizations do not want to share their information for legal or competitive reasons. This raises the problem of information mining while retaining privacy. Current efficient data mining privacy preservation algorithms are focused on the assumption …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 31–37 Read article
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Advances in Deep Learning for Medical Image Analysis in the Era of Precision Medicine
Abstract: Medical imaging is fundamental to modern healthcare but analyzing the high-dimensional data requires advanced techniques. Manual image interpretation is time-consuming, subjective and limited in detecting complex patterns and minute details. Recent breakthroughs in Deep Learning offer transformative advances for unlocking clinically relevant information from medical images. This paper provides a comprehensive 6000+ word review of the current state-of-the-art Deep Learning techniques for medical image analysis including detailed coverage of key …
Published in Research and Reviews : Journal of Computational Biology · Vol. 12, Issue 2, 2023 · pp. 10–23 Read article
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All-in-One Focus image using Guided Filters
Abstract: Machine Vision System plays a vital role in manufacturing industries for the automatic inspection of quality of the finished product. The success of machine vision system for real time application is purely depends on the response of the hardware system in capturing the image of the object and the image processing algorithm which is used to extract the features of the object from the captured image. For the extraction of …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 9, Issue 2, 2022 · pp. 46–53 Read article
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A Comparative Study on Various Machine Learning Techniques for the Prediction of Cardiac Ailment
Abstract: Over the last couple of decades, cardiovascular complexities have become the leading source of death in impoverished regions. With heart attack rates on the acceleration at a youthful age, it is necessary to put in place a process to recognize the symptoms of a heart attack early and thus limit it. It is impossible for a common man to often undergo expensive tests such as an ECG and thus there …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 10, Issue 3, 2023 · pp. 25–30 Read article
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Algebraic Foundations of AES (Advanced Encryption Standard): Group Theory and Finite Field Applications in Symmetric Cryptography
Abstract: This paper presents a mathematical study of symmetric cryptographic algorithms, with a particular emphasis on the Advanced Encryption Standard (AES), which is one of the most widely used encryption schemes in modern security applications. The study highlights how abstract mathematical frameworks such as group theory, finite fields, and vector space concepts provide the foundation for the design, implementation, and analysis of AES. By approaching the algorithm from a mathematical perspective, …
Published in Recent Trends in Mathematics · Vol. 2, Issue 1, 2025 · pp. 12–16 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Advanced Energy Management in Distribution Substations Incorporating Energy Storage and Demand Side Management for Increased Profitability
Abstract: In recent years, energy system going very complex because of more renewable sources, electric vehicles, storage devices and smart consumer demand. Old distribution grid cannot handle this complexity properly. For this reason, many researchers work on new energy management systems, home energy control, distributed control, and advanced distribution management. Many papers study about home energy management for flexible use of energy, predictive grid operation, and demand response. Some papers give …
Published in Trends in Electrical Engineering · Vol. 16, Issue 3, 2025 Read article
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Defining Regression Polynomials with Process Similarity Criteria
Abstract: Highly accurate monitoring and prediction is essential in detecting abnormality events and forecasting demands in supply chains. This investigation provides a computational procedure for defining polynomials that satisfy similarity criteria in the monitoring process for a polynomial of any degree. It provides an example of using algorithms to predict transient thermal processes in electronic devices. The second-degree polynomial defined with this algorithm is compared with a polynomial defined using a …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 10, Issue 2, 2023 · pp. 13–20 Read article
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Improving Polymer Composite Properties Through Reinforcement Learning Guided Prototyping A Novel Approach for Material Engineering
Abstract: Innovative approaches integrating reinforcement learning (RL) and machine learning (ML) into the fields of polymer composite prototyping and soft actuator manufacturing for applications. This new an algorithm utilizing RL optimizes polymer composite fabrication parameters to enhance material properties efficiently. By iteratively adjusting parameters based on predefined objectives, the RL agent guides the prototyping process, promising to revolutionize polymer composite engineering. A finest control method for locked loop control of Shape …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 208–218 Read article
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Innovative Water Distribution Systems: Raspberry Pi Based Adaptive Water Vending Solutions
Abstract: Technology has advanced to the point that many complex equipment and gadgets are now indispensable tools for humankind. Among these, automated vending machines have become a mainstay, simplified a variety of tasks and greatly increased productivity while reduced the need for human involvement. These devices, which have numerous inputs and outputs, can dispense snacks, cold beverages, coffee, tea, water, and more to meet the needs of a diverse clientele. The …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 33–42 Read article
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Novel Perspectives in Imitation Learning: Trends, Challenges, Future Directions
Abstract: Imitation learning refers to a machine learning approach where an algorithm learns to accomplish a task by emulating the actions and behaviours of a proficient expert. The main aim of imitation learning is to extract knowledge from an expert and train the datasets using the existing knowledge. During training, the algorithm is presented with a large dataset of expert demonstrations and learns to map the input to the correct output …
Published in Journal of Open Source Developments · Vol. 10, Issue 1, 2023 · pp. 26–35 Read article
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Recent Advancements and Comprehensive Review on Hyphenated Techniques
Abstract: Hyphenated techniques represent a powerful class of analytical methods that combine two or more established techniques – typically a separation method with a spectroscopic detection technique – to achieve enhanced analytical performance. First introduced by Hirschfeld in 1980, the term “hyphenation” refers to the online coupling of such methods, enabling more precise, sensitive, and comprehensive analysis of complex samples. These techniques exploit the strengths of individual methods while overcoming their …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 3, 2025 · pp. 37–50 Read article