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509 articles for “optimization. Algorithm”
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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
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Impact of Time Complexity Using Array and Linked List in Data Structure
Abstract: Data structures are techniques for maintaining, manipulating, and storing data on a computer, enabling efficient access and modification. They support various operations, such as insertion, deletion, updating, and sorting. Examples of data structure include arrays, linked lists, graphs, heaps, stacks, and queues. Each data structure is designed to meet specific needs and solve particular problems. Typically, we identify the problem, devise a solution as an algorithm, and then write an …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 41–48 Read article
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Generation Scheduling Using Quantum Inspired Evolutionary Programming
Abstract: A new novel evolutionary algorithm based on principles of quantum mechanics known as quantum inspired evolutionary programming (QIEP) has emerged as a modern optimization technique. QIEP is unique than other evolutionary programming for its qubit representation and superposition of states. QIEP has proven its applicability in different combinatorial problems successfully. It can also be applied in power system optimization problem. In this paper, we have used QIEP for generation scheduling. …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 12–15 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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Optimization of Machining Process Parameters in Hard Turning of AISI D3 Tool Steel
Abstract: Machining operation is still irrefutably vital process in manufacturing, that involves complex relation of input parameters (like cutting speed, feed rate, depth of cut, nature of cooling, etc.) to output parameters (like surface finish, tool life, tool wear, machining time, machining cost, etc.). Numerous efforts were noticed in literature, to relate these parameters with each other so as to implement cost effective machining with least efforts. This paper presents one …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 1, 2017 · pp. 23–30 Read article
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Intelligent Systems: A study on AI and Machine learning
Abstract: Artificial Intelligence (AI) and Machine Learning (ML) are dynamic branches of computer science that focus on developing systems capable of executing tasks commonly associated with human intelligence. These activities encompass making choices, resolving issues, understanding language, identifying patterns, and learning through experience. Artificial Intelligence refers to the broad area of designing systems and frameworks that enable machines to perform tasks resembling human thought and behavior. This field integrates diverse technologies …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Improvement of Convergence Speed of Q-learning based Path Planning Algorithm
Abstract: Path planning is fundamental and important task of mobile robot. There are many attempts to adopt reinforcement learning (RL) in mobile robot path planning. RL based path planning is effective in path planning of intelligent mobile robot, especially in unknown environment because it doesn’t require environmental information and finds optimal path through trial-and-error process. Q-learning is one of RL algorithm widely used in path planning of mobile robots. The main …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 19–28 Read article
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Optimizing Machinability in Wire EDM of AISI P20 Steel Employing Composite Material Wires with Hybrid Neural Network Approach
Abstract: AISI P20+Ni steel is extensively used for forging dies, plastic moulds, and automotive die components due to its excellent polishability, hardness, and homogeneity. This research utilizes Wire Electrical Discharge Machining (WEDM) to process pre-hardened AISI P20+Ni steel, focusing on minimizing both recast layer thickness (RLT) and kerf width (KW). The performance of wires made from composite materials, including zinc-coated brass wire (ZBW), cryogenically treated ZBW (CZBW), and ultrasonic vibration-assisted brass …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1120–1133 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Analysis of Machine Learning in Metal Processing: A Novel Prospect
Abstract: Metal is processed by a wide range of procedures, from forming and casting to machining and riveting. Metal processing is a crucial part of modern manufacturing. The application of machine learning (ML) is driving a significant change in the sector, which has historically depended on empirical knowledge and trial-and-error techniques. Increased production, improved product quality, and resource optimization are expected outcomes of this action. This study aims to explore the …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 1, 2026 · pp. 41–51 Read article
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Big Data Analytics for Effective Decision Making in Business Intelligence
Abstract: In this study, we explore the significance of Big Data Analytics (BDA) in enhancing decision-making processes within Business Intelligence (BI) frameworks. It involves processing vast volumes of data from various sources, enabling businesses to identify patterns, trends, and correlations that were previously unnoticed. This analytical power enhances strategic planning, customer understanding, operational efficiency, and competitive advantage. Through advanced algorithms and machine learning techniques, businesses can predict future trends, optimize operations, …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 23–28 Read article
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Enhancement of ATC using UPFC under Deregulated Environment
Abstract: Available transfer capability is the most important factor for the identification of power transfer from gencos to discos. In a deregulated power system, power producer and customer share a common transmission network for wheeling of the electric power. This may cause violation of line flow, voltage and stability limits and thereby undermine the security limit [1]. To improve the available transfer capability of the system FACTS controllers are used. UPFC …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 66–72 Read article
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Simulation and Performance Based Comparison of Artificial Intelligence Based Shunt Active Power Filter in High Frequency Aircraft System for Power Quality Improvement
Abstract: Synchronous reference frame strategy for extracting reference currents for shunt active power filters have been optimized by using fuzzy logic control and adaptive tabu search algorithm respectively; their performances have been compared. The acute analysis of comparison of the compensation capability based on THD and speed will be done and recommendations will be given for the choice of technique to be used. The simulated results using MATLAB model are shown …
Published in Trends in Electrical Engineering · Vol. 6, Issue 1, 2016 · pp. 32–41 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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Codal Validation and Optimization of Gantry Girders Under Variable Wheelbase and Impact Loads: A Review of Analytical, Numerical, and Codal Approaches
Abstract: Gantry girders serve as critical structural elements in industrial facilities such as steel plants, workshops, and heavy manufacturing units, where electric overhead traveling (EOT) cranes operate. The design of these girders is governed by stringent codal provisions to ensure safety under bending, shear, and deflection. However, discrepancies between codal predictions, analytical formulations, and finite element analysis (FEA) results, particularly under variable wheelbase and dynamic impact loads, have been widely reported. …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 3, 2025 · pp. 23–29 Read article
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AI-Powered Solutions for Sustainable Waste Management in Construction Projects
Abstract: The construction industry is a significant contributor to global waste, posing challenges to sustainability and environmental health. This research explores AI-powered solutions for sustainable waste management in construction projects, focusing on optimizing waste reduction, recycling, and resource efficiency. By integrating machine learning algorithms and IoT-enabled sensors, real-time monitoring of waste generation and segregation can be achieved. Predictive analytics and AI-driven decision-making tools are employed to enhance material reuse and minimize …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 1–5 Read article
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The application of the Jellyfish search algorithm for solving Modified economic load dispatch under the consideration of prohibited operation zones, varied load demand, and renewable energy sources
Abstract: In this research, an expanded version of the original economic load dispatch problem (EELD) is concerned to optimize operation of power plants in power systems. While solving the problem, the power supplied from solar energy is considered in addition to the conventional thermal power plants. The main objective function of the research is to minimize the entire electricity generating cost (EEGC) of all thermal power plants in the systems. On …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 3, 2022 · pp. 12–18 Read article
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Reactive Power Optimization using Particle Swarm Optimization with Time Varying-Acceleration Coefficient
Abstract: This paper presents an approach for the solution of reactive power optimization problem. In deregulated power system operations, reactive power optimization helps the system operator to maintain system security with the economy. The application of the time-varying acceleration constant-particle swarm optimization (TVAC-PSO) method for the solution of this problem is emphasized. The real power losses of the system are minimized satisfying power balance, generator reactive power operating limit and voltage …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 1–10 Read article
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Optimized Hardware Realization of AES for High-Throughput FPGA Platforms
Abstract: The Advanced Encryption Standard (AES) is the predominant symmetric-key cryptographic algorithm used for securing digital communication across embedded systems, IoT devices, cloud infrastructures, and defense networks. Although software-based AES implementations offer flexibility, they often fail to meet the high-speed, low-latency, and energy-efficient requirements of modern real-time applications. Reconfigurable hardware platforms such as Field-Programmable Gate Arrays (FPGAs) provide a powerful alternative by enabling architectural customization, intrinsic parallelism, and optimized hardware acceleration. …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 11–22 Read article
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AI-Empowered Space Traffic Management: Challenges and Strategies
Abstract: Space traffic management (STM) has emerged as a critical field of study due to the rapid expansion of space activities, including satellites, debris, and future crewed missions. This research paper delves into the multifaceted issues and challenges associated with STM and explores innovative strategies, specifically focusing on integrating artificial intelligence (AI). It examines the pressing problems of space debris proliferation, collision avoidance, spectrum congestion, and the need for international cooperation. …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 1, 2025 · pp. 20–28 Read article