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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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A Novel Approach for Design and Optimization of Slot Antenna for WLAN Applications
Abstract: The simulation, and analysis of a micro-strip fed slot antenna array intended for operation in the 2.4 GHz ISM (Industrial, Scientific, and Medical) band, which is widely used for wireless technologies such as Wi-Fi and Bluetooth. A slot antenna is a type of antenna where a slot (cut or gap) is made on a metal surface, and it radiates electromagnetic waves. Utilizing ANSOFT HFSS software, the antenna's performance is optimized, …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 1–12 Read article
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Optimization and Structural Integrity of Truck Chassis Using Finite Element Analysis
Abstract: The chassis of a truck is a crucial component, and it acts as a framework for the body and other components of the truck. It must also be strong enough to withstand pressures like shock, twisting, vibration, and more. When building a chassis, having enough bending stiffness for better handling characteristics is just as important as strength. Deflection, maximum stress, and maximum equilateral stress are crucial design factors for the …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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AI-Optimized Itinerary Design: Transforming the Future of Travel Planning
Abstract: The travel industry is struggling to meet the rising demand for efficient and personalized trip planning. Traditional methods often lack real-time updates and fail to adapt to individual preferences, necessitating innovative solutions. This study presents an AI-powered travel planner utilizing the Gemini API to enhance itinerary creation. By analyzing user preferences, interests, and real-time data, the system delivers tailored travel recommendations. Leveraging advanced technologies such as cloud computing, machine learning, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 74–82 Read article
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Artificial Intelligence and Machine Learning Applications in Optimizing Air Conditioning Systems
Abstract: The growing demand for air conditioning systems, especially in the wake of climate change and increasing global temperatures, has led to a significant increase in energy consumption. This, in turn, contributes to the growing concerns of environmental sustainability and operational costs. As a result, there is a pressing need for innovative solutions to optimize the performance and energy efficiency of air conditioning (AC) systems. Artificial Intelligence (AI) and Machine Learning …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 12, Issue 1, 2025 · pp. 38–43 Read article
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Design and Optimization of Heat Dissipation Systems for Electric Vehicle Battery Packs: A Study on Advanced Cooling Techniques
Abstract: In order to guarantee battery safety, performance, and longevity, the increasing popularity of electric vehicles (EVs) has increased the demand for efficient heat management systems. With an emphasis on cutting-edge cooling methods, this study explores the design and optimization of heat dissipation systems for EV battery packs. The study compares cutting-edge techniques like phase change materials, micro channel heat sinks, and thermoelectric cooling systems with more conventional cooling techniques like …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–10 Read article
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AI and Big Data for Optimized Water Resource Management in Arid Regions
Abstract: Water scarcity in arid regions is an escalating global challenge, driven by climate change, population growth, and increasing demands from urban, industrial, and agricultural sectors. Effective water resource management (WRM) is crucial for sustaining livelihoods, economic stability, and infrastructure resilience. Emerging technologies such as artificial intelligence (AI), machine learning (ML), and big data offer innovative solutions for optimizing water use, enhancing efficiency, and improving sustainability in water-scarce environments. This paper …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 1, 2025 · pp. 1–5 Read article
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Optimization of Turning Process Parameters by Genetic Algorithm Approach
Abstract: In this research, turning parameters were optimized through a genetic algorithm for the purpose to minimize surface roughness and to maximize the material removal rate. High finish quality is guaranteed through minimum surface roughness, and efficient process planning is facilitated through maximum material removal rate optimization. For predicting surface roughness and material removal rate with respect to spindle speed, feed rate, and depth of cut, the empirical models were developed …
Published in Journal of Production Research & Management · Vol. 15, Issue 1, 2025 · pp. 33–41 Read article
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Building Electrical Power Distribution Efficiency and Performance Optimization by Designing Resilient Systems
Abstract: The building power systems often are exposed to losses due to inefficiencies arising from various sub- systems. The major sub-system within a building includes electrical, mechanical, and plumbing. Although less common for small and medium sized buildings, there is large process equipment when supporting manufacturing or small operations within. One such example is when a building is operating to support systems for the ventilation power and controls for large outdoor …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 21–27 Read article
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Development and Optimization of Orally Disintegrating Tablets (ODTs) Containing Standardized Curcumin Extract for Enhanced Bioavailability and Patient Compliance
Abstract: This research centers on creating and perfecting orally disintegrating tablets with standardized curcumin extract to both increase its bioavailability and promote better patient adherence. Although curcumin has numerous therapeutic applications. It remains clinically ineffective due to its poor aqueous solubility and bioavailability constraints. The development of orally disintegrating tablets involved direct compression with various levels of superdisintegrants including sodium starch glycolate and cross povidone to address existing challenges. Research teams …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 3, 2025 · pp. 1–06 Read article
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Optimization of Sustainable Electrochemical Machining Parameters for Polymer based Materials Using AHP Integrated TOPSIS Method
Abstract: The current paper describes the use of the AHP-TOPSIS method to optimize process parameters in sustainable electrochemical machining of polymer composites. Combine lightweight polymer matrices with reinforcing particles or fibers such as TiB₂, SiC, or Al₂O₃, offering high strength-to-weight ratio, corrosion resistance, and design flexibility, making them ideal for aerospace and automotive applications. Non-conductive and heterogeneous nature poses challenges during electrochemical machining, as it affects current distribution and material removal …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1048–1059 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 55–66 Read article
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Performance Analysis And Battery Management System Optimization In Electric Vehicles
Abstract: The rapid electrification of the automotive industry has led to an increased need for battery management systems that are not only efficient and safe but also intelligent. BMS is the device that guarantees the best use of the battery, prolongs its life, and allows its safe operation even under different environmental and load conditions. Through the synthesis of literature and industry practices, this paper acts as a tribute to the …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 Read article
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Metaheuristic Design of Epoxy-Based Polymer Composites
Abstract: This research investigates the optimization of epoxy resin based polymer compositions in composite materials to enhance their mechanical and tribological properties for industrial applications. We examined the properties of composite materials by running experiments and optimizing these results using Firefly and five optimization algorithms to find the best steel and epoxy ratios. Our tests confirmed that higher dosages of steel powder increased materials' resistance to breaking and impacts yet lowered …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 769–791 Read article
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Optimizing Nutrient Utilization and Microbial Protein Synthesis in Ruminants: Strategies for Enhanced Feed Efficiency and Sustainable Productivity
Abstract: This review investigates strategies to optimize nutrient utilization and microbial protein synthesis in ruminants, aiming to improve feed efficiency and enhance overall livestock productivity sustainably. It focuses on key aspects of feed formulation, including balancing non-structural carbohydrates with protein sources, incorporating bypass proteins, and selecting high-quality forages that improve fiber digestibility. The review examines various feed processing techniques such as steam-flaking, pelleting, and ammonia treatment, which enhance nutrient bioavailability and …
Published in International Journal of Nutritions · Vol. 3, Issue 1, 2026 · pp. 42–53 Read article
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Adaptive Task Scheduling and Resource Optimization Using AI Middleware
Abstract: Modern distributed and heterogeneous computing systems face significant challenges in dealing with dynamically changing workloads, resource fragmentation, and changing latencies; existing traditional, or rule-based, specialized schedulers are no longer useful in achieving the best system performance. Such limitations highlight the importance of the adaptive scheduling paradigms that can learn, forecast, and react to the actual real-world conditions in the system. Artificial intelligence middleware is also an attractive solution to this …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 1, 2026 · pp. 23–31 Read article
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Machine Learning Based Optimization of Polymer Structure Property Relationships in Composite Material Systems
Abstract: In modern engineering applications, polymer-based composite materials have garnered a lot of attention because of their lightweight nature, high strength-to-weight ratio, and changing physical features. In order to maximize the relationships between polymer structure and properties in composite materials, this study suggests a strategy based on reinforcement learning (RL). The research utilized the Polymer Composite Properties Dataset, which contains 12,700 records associated with polymer matrices, reinforcement fillers, interfacial bonding characteristics, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 242–255 Read article
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Optimal Placement and Sizing of STATCOM for Loss Reduction and Voltage Profile Enhancement Using Genetic Algorithm
Abstract: Electric power distribution networks frequently experience significant power losses and voltage profile deterioration due to increasing load demand and inadequate reactive power compensation. This study investigates the enhancement of the Eleme distribution network in Rivers State through voltage upgrading and optimal deployment of a Static Synchronous Compensator (STATCOM). The existing network consists of a 5.56 km, 11 kV radial distribution system supplying seventeen distribution transformers with a cumulative load demand …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 2, 2026 · pp. 41–46 Read article
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Impact of Reinforcement Materials and Processing Condition Optimization in Microstructural Engineering of Polymer Composites
Abstract: Polymer mixtures have gotten a lot of attention because they have a unique set of qualities that make them useful in many situations. But the substructure of these alloys is very important for getting the best performance. It looks at how to improve the microstructure of polymer composites by finding the best support materials and working conditions. The choice of strengthening materials is the first thing that is talked about. …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 102–118 Read article
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Optimization of Symmetric Linear Phase Low Pass FIR Filter Using Genetic Algorithm
Abstract: In the proposed paper, optimization of symmetric linear phase low pass Finite Impulse Response (FIR) filter using Genetic Algorithm GA is a computational optimization technique; which optimizes the Mean Square Error (MSE) and filter coefficients with the help of fitness function. The optimize results are compared with two different filter designing analysis (FDA) methods viz. least square method and equiripple method
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 9–14 Read article
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Prototype of Design, Analysis and Optimization of Front Hub Upright Assembly of ATV (All-Terrain Vehicle) for Baja SAE India Competition
Abstract: When all-terrain vehicle came in dynamic condition steering and suspension geometry, it affected the vehicle stability. This stability limits the speed and comfort of the vehicle. Stability is more required in all-terrain vehicles because they have to wear more dynamic force; if vehicle will be unstable then failure will occur; it also decreases the ergonomics and comfort of the driver, so it is mandatory that vehicle should have proper geometry …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 15–20 Read article