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1940 articles for “optimality” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimizing Mango Harvest Timing in the Nasik Region (Maharashtra, India) by CNNs (Residual Network 101)
Abstract: The determination of optimal harvest timing is one of the most critical decisions in mango production, directly affecting postharvest quality, market value, transportation resilience, and export readiness. In regions such as Nashik, Maharashtra—one of India’s major fruit- producing belts—the climatic variability, cultivar differences, monsoon patterns, and market- driven pressures make accurate harvest timing essential. Traditional maturity assessment relies on subjective visual inspection, specific gravity, or destructive testing, each of which …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article
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Cognitive AI-Based Quality Control and Operational Optimization of Polymer Composites for Healthcare Applications
Abstract: The use of polymer composite materials in healthcare is on the rise because of their adjustable mechanical characteristics, biocompatibility and structural flexibility. Yet, it is difficult to ensure stable quality of such composites due to process-related defects, heterogeneity of the material and the lack of real-time adaptive control. The proposed study suggests the use of cognitive AI-based framework of quality control and optimization of operation of polymer composite systems which …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 571–591 Read article
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Wear and Tribological Characteristics of Novel Metal Matrix Composites
Abstract: The development of advanced metal matrix composites (MMCs) with enhanced tribological performance has become increasingly important due to the premature failure of critical engineering components operating under severe wear conditions in automotive, aerospace, marine, defense, and power generation systems. Conventional composites such as Copper–Alumina and Aluminium–Silicon Carbide have demonstrated improved mechanical and wear characteristics; however, their widespread application is often limited by issues including particle agglomeration, non-uniform reinforcement distribution, porosity …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1326–1346 Read article
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Task Scheduling in Cloud Computing using Hippopotamus Optimization Algorithm
Abstract: Cloud computing, which provides remote clients with on-demand services, has emerged as a crucial component of contemporary technology. It is still difficult to schedule tasks effectively in such diverse and dynamic situations. Motivated by the hippopotamus's balanced exploration and exploitation behavior, this research suggests a unique work scheduling method utilizing the hippopotamus optimization algorithm (HOA). In order to maximize resource usage and throughput while minimizing makespan and execution cost, the …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 2, 2026 · pp. 22–29 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage-controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis gave …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 202–222 Read article
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A Smart Framework that Combines Data Mining and Optimization for Different Applications
Abstract: Blending predictive data mining with metaheuristic optimization has become essential for tackling tough, real-world problems across all kinds of fields. Most existing methods stick to fixed algorithms, each focused on a tiny slice of the puzzle, barely budging when new variables or unpredictability show up—especially with messy, human-generated data. So, here’s the idea: a Unified Metaheuristic and Predictive Data Mining (UMPDM) framework that finally connects adaptive search methods with powerful …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 10–14 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 8–20 Read article
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Time Cost Optimization Techniques in Construction Industries-A Review Article
Abstract: Construction project scheduling and optimizing the schedule has received a considerable amount of attention over the last few decades. Completion of a project in optimum time and minimum cost is a challenge in every project. There are many methods and algorithms available; using which time cost optimization (TCO) can be achieved. This article gives a review on critical path method (CPM), linear programming (LP), genetic algorithm (GA) and ant colony …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 28–32 Read article
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Simultaneous Optimization of Multiple Performance Characteristics in MIG Welding for Machining AISI-304 Stainless Steel by Weighted Principle Component Analysis
Abstract: The effect of MIG welding parameters specifically Welding current, Voltage, Gas flow rate and Plate thickness during welding of AISI-304 stainless steel Material on MIG welding machine at different level presents in this work. All the welding parameters are modeled using Taguchi-based Principle Component Analysis (PCA). Principal component is used as multiple responses optimizing technique to drive optimal solution, which gives the overall quality index in experimental process, and finally …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 77–85 Read article
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Approximation Based Optimal Control Design Strategy for the Magnetic Levitation System
Abstract: Abstract: This paper presents the stabilization and trajectory tracking of magnetic levitation system using optimal control technique. The magnetic levitation (Maglev) system is exceedingly unstable and nonlinear system. The magnetic levitation has been a desirous area of exploration for utilization, especially in the scope of automotive where low losses due to friction and low energy consumption are an important idea. The (Maglev) system has become a large effective technology in …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 1, 2019 · pp. 8–14 Read article
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Optimization of Control Parameters Based on Genetic Algorithm Technique for Integrated Electrohydraulic Servo Actuator System
Abstract: Electrohydraulic servo systems have been used in industry in a wide number of applications. Its dynamics are complex and highly nonlinear, these features significantly add uncertainty to the controller design procedure. Therefore, it is a demanding task to obtain a precise mathematical model of controlled servo systems. The present paper presents the development of a detailed non-linear mathematical model of the ISA and a computer simulation program using MATLAB/SIMULINK package. …
Published in Journal of Mechatronics and Automation · Vol. 6, Issue 3, 2019 · pp. 24–41 Read article
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Speed Control of PMSM using Optimization Methods
Abstract: AbstractThis paper represents a modelling and optimized design of speed control for a permanent magnet synchronous motor (PMSM). The PI controller of inner current loop is optimized using evolutionary algorithm like Particle Swarm Optimization (PSO) method. To illustrate effect of proposed method, the performance of evaluationary algorithm is compared with traditional optimization method i.e., Ziegler-Nichols method. The main objective of the proposed work are, develop mathematical modelling of PMSM motor …
Published in Journal of Microcontroller Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 8–16 Read article
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Optimization of Wear and Friction Parameters of Al-WC Composite Using Response Surface Methodology
Abstract: This paper aims to optimize the wear and friction parameters of Al-WC composite using response surface methodology. Initially dry sliding wear test on specimen of Al-0WC, Al-5WC, Al-8WC and Al-11WC composites were performed using pin-on-disc equipment under atmospheric conditions, with the varying parameters of the applied load 80KN and Sliding distance 6700m and the sliding velocity is kept constant of 3.34 m/s. The optimum parameters of wear mass loss and …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 3, 2019 · pp. 17–26 Read article
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Impact of Time Multiplier Setting Range on Optimum Coordination of Directional Overcurrent Relays
Abstract: Over-current relays especially Inverse Definite Minimum Time (IDMT) relays are most commonly used protective device in the distribution system. It is vital that during abnormalities or faults, the IDMT relays must be capable to isolate only the faulty part of power system from the healthy system. The operating time of IDMT relays can be reduced with proper coordination between primary and backup relays by selecting optimum settings. Heuristic-based optimization techniques …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 3, 2014 · pp. 33–40 Read article
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Optimization of process parameters in pocket milling of SAE304 based on tool path strategies using Taguchi method
Abstract: Surface roughness is the most significant factor in manufacturing industry to accept most of the machined components. In modern manufacturing CNC milling is one of the most commonly used machining process for different components. Pocket milling is building importance in plastic molding, Ship building and aircraft manufacturing. The surface finish is attained by finishing operations in most of the cases, which causes increase in production cost and time. This can …
Published in Journal of Production Research & Management · Vol. 8, Issue 3, 2018 · pp. 49–56 Read article
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Development and Optimization of Cold Rolled Slitting Machine Process
Abstract: Slitting machine is now widely used for dividing a wide strip into a plurality of narrow strips or for trimming the unnecessary or unacceptable edge portion of relatively wide sheet metal stock. In some cold rolling slitting machine a problem has been found that the camber is formed at the time of cutting. When the strip passes through skin pass operation, burr is formed due to friction which will result …
Published in Journal of Production Research & Management · Vol. 9, Issue 1, 2019 · pp. 1–8 Read article
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Scheduling of PCB Assembly Using Particle Swarm Optimization Algorithm
Abstract: This paper deals with the problem of scheduling ‘N’ printed circuit boards (PCBs) on a single machine equipped with an automatic component interchange mechanism. The total number of different components required to process all ‘N’ PCBs is greater than the capacity of the spool. If the essential components are not on the spool, then one or more component switches must take place earlier than the PCB can be processed. The …
Published in Journal of Production Research & Management · Vol. 2, Issue 1-2-3, 2012 · pp. 43–59 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Circular Retiming technique to design Optimized Least Mean square architecture for adaptive filter
Abstract: Circular retiming improves performance and power consumption of the Least Mean Square (LMS) adaptive filter. It is implemented for weight updated block and error computational block to minimize the adaptive filter error without violating the functional equivalence output. Here, filter multiplication block is updated in a circular convolution format and is retimed to reduce the dynamic power consumption. Additional retime flip-flops shows better performance result compared with the existing state-of-the-art …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 3, 2018 · pp. 1–9 Read article