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1760 articles for “control”
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A Data-Driven Analysis of Machine Learning Classification Models for Reliable Crop Yield Prediction
Abstract: The adoption of ML technologies in agriculture is reshaping farming practices, empowering producers to make informed, data-oriented decisions that improve yields, sustainability, and long-term resilience. In mango cultivation, ML analyzes data from weather, soil, and pests to optimize irrigation, fertilization, and pest control. Predictive analytics help forecast ideal farming practices, minimizing resource wastage and improving yield. Real-time monitoring and image-based disease detection allow timely interventions to maintain plant health and …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 15, Issue 1, 2026 · pp. 12–17 Read article
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Role of Fluid Engineering in Biomedical and Healthcare Systems: A Comprehensive Review
Abstract: Fluid engineering — the study and application of fluid behavior, transport, and interaction — has become a cornerstone of modern biomedical and healthcare systems. This review synthesizes the multifaceted roles fluid engineering plays across diagnostics, therapeutics, biomedical devices, and physiological modeling. Micro-fluidics enables precise manipulation of microliter and nanoliter volumes, facilitating rapid point-of-care diagnostics, high-throughput screening, and the fabrication of uniform nano particles for targeted drug delivery. In cardiovascular medicine, …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 1–5 Read article
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Autonomous Agent Contracts for Adaptive Supply Chains
Abstract: This paper proposes a novel agent-driven, on-chain coordination layer for manufacturer–distributor–retailer handoffs that automates release, transfer, receipt, and state validation across the supply network. This approach combines belief–desire–intention (BDI) agents with narrowly scoped smart contracts to capture role responsibilities, capacity checks, and escalation policies. It aims to enhance conformance, traceability, and cycle-time reliability without relying on central intermediaries. This proof of concept links supply chain states—such as production-ready, packaged, listed, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 52–60 Read article
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Firefly Algorithm–Based Optimization of Processing Parameters for Enhanced Performance of Polymer Composite Materials
Abstract: Polymer composite materials are extensively used in aerospace, automotive, and oil & gas applications due to their high strength-to-weight ratio and design flexibility. However, achieving optimal mechanical and thermal performance strongly depends on precise control of processing parameters such as curing temperature, energy consumption, and material utilization. Conventional trial-and-error approaches often lead to excessive energy usage, non-uniform curing, and sub-optimal composite properties. To address these challenges, this paper proposes an …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 90–107 Read article
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Polymers In Low-Resource Biomedical Innovation: Maker Labs, DIY Devices and Ethics
Abstract: The low-cost biomedical devices have been prototyped and sometimes put into practice by maker laboratories and community "DIY" (Do-It-Yourself maker) innovators due to the fast-growing availability of polymer-based fabrication (desktop 3D printing, laser cutting, and simple molding). Nowadays, polymers such as PLA, PETG, TPU, and PEEK are used in a wide range of applications, including surgical guides and anatomical models, as well as assistive technology and diagnostic housings. Such innovations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 108–119 Read article
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Mechanical & Tribological Characterization of Al2024-Alumina-Graphite Reinforced Monolithic and Hybrid Composites
Abstract: This work investigates the mechanical characteristics of Al2024-Al2O3-Graphite reinforced monolithic and hybrid composites fabricated by the stir casting method. Exploratory work involved the fabrication of monolithic composites with varying Al2O3 contents (5-8 wt%) and hybrid composites with the ratios of Al2O3 (2-6 wt%) and Graphite (1-3 wt%) in matrix Al2024. For improving their dispersion, preheated reinforcement particles were introduced in matrix alloy at controlled stirring rates. A homogeneous particle distribution …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 823–836 Read article
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Stability-Indicating Rp-Hplc Development and Validation for the Estimation of Lercanidipine Hydrochloride Content in Tablet Dosage Form
Abstract: A sensitive, stability-revealing, and easy reverse-phase high-performance liquid chromatographic (RP-HPLC) technique was developed and rationalized to be in a position to determine Lercanidipine hydrochloride in ingested dosing preparations. It was separated by chromatography on a C 18 column using a mobile phase containing 10 mM potassium dihydrogen phosphate buffer and methanol (20:80, v/v; pH 4.0) at a flow rate of 1.0 mL/min and UV detected at 258 nm. The retention …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 13, Issue 1, 2026 · pp. 17–26 Read article
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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Genetic Detection of Hepatitis C -Virus and Occult Hepatitis B in Patients from Al-Najaf Al-Ashraf Governorate, Iraq.
Abstract: Recently, a noticeable increase in the prevalence of occult Hepatitis B virus (HBV) and Hepatitis C virus (HCV) infections has been observed among clinical cases such as patients undergoing hemodialysis, blood transfusion, liver diseases, and thalassemia worldwide. To limit and control this spread, the present study was conducted to investigate and detect the molecular presence of HCV and occult HBV using the Nested PCR technique, as well as to observe …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 Read article
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Effect of Toxoplasma gondii on some Neurotransmitter Levels in Patients with Toxoplasmosis Infection
Abstract: Background: The study of Toxoplasma gondii on some neurotransmitter levels in patients with toxoplasmosis infection is one of the challenges of sustainable development. Toxoplasma gondii is a parasite that can alter host behavior by affecting neurotransmitters of the host. Aim: To diagnose if there are differences in neurotransmitter levels in infected people by toxoplasmosis and healthy people to predict the psychological and neurological diseases. Methods: The study included collecting 60 …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 1–8 Read article
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Polymer Nanocomposites As Emerging Platforms in Pharmaceutical Nanotechnology
Abstract: Nanotechnology allows the handling of materials in the 1–100 nm range, where distinct physicochemical phenomena, including quantum effects and higher surface-to-volume ratio, enable disruptive uses in pharmaceuticals and biomedicine. Significant challenges in solubility, stability and targeted biodistribution of therapeutics can be overcome by incorporating nanostructured polymers and polymer-based composites into drug delivery systems. PLGA nanoparticle and other nanocarriers, such as PLGA micelles, dendrimers, and hydrogels, have revealed promising effects on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 268–278 Read article
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Development and Evaluation of a Coconut-Based Jam
Abstract: Background: Conventional coconut jam formulations rely heavily on refined sucrose to achieve sweetness, texture, and preservation, limiting their suitability for individuals seeking reduced-sugar dietary options. The growing demand for nutritionally improved food products has encouraged the development of alternative formulations using natural sweet ingredients and polyol-based humectants. Objective: The present study aimed to develop and standardize a coconut-based reduced-sugar jam using coconut milk, dates, raisins, sorbitol, glycerine, citric acid, sodium …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 13, Issue 1, 2026 · pp. 13–18 Read article
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Polymer-Based Acousto-Optic Ultrasonic Sensor for Non-Destructive Evaluation of Dielectric Insulation
Abstract: A dual-polymer fiber-optic sensor for monitoring partial discharge (PD) activity in high-voltage polymeric insulation is presented in this work for non-destructive evaluation and dielectric testing applications. Dielectric weakness within polymeric insulation leads to partial discharge activity, generating ultrasonic acoustic waves that propagate through the medium. The developed sensing assembly comprises a conical polymer-based horn that gathers and concentrates the ultrasonic acoustic emission energy generated by dielectric weakness, and a single-mode …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 11–24 Read article
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Interaction of Mosquito’s hppd Enzyme with Lansoprazole Sulfide A New Hope to Tackle the Mosquito Menace – an in-Silico Study
Abstract: Tyrosine detoxification is an important physiological process that helps blood-feeding insects, such as mosquitoes that transmit Plasmodium parasites causing malaria, digest their blood meals. An enzyme known as 4-hydroxyphenylpyruvate dioxygenase (HPPD), which is part of the tyrosine detoxification pathway, helps in removing excess tyrosine in a high-protein blood meal. Excess tyrosine can be lethal to the insects, and hence, the role of HPPD enzyme is very critical. Inhibitors of HPPD …
Published in International Journal of Insects · Vol. 3, Issue 1, 2026 · pp. 1–11 Read article
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Application of Priestia Megaterium in the Bioremediation of Petroleum Hydrocarbon Contaminated Environments
Abstract: Petroleum pollutants pose a serious and persistent threat to environmental ecosystems, particularly affecting soil and water quality. Effective and sustainable remediation strategies are crucial to mitigate their impact and safeguard environmental health. In this context, bioremediation—using microorganisms to degrade harmful contaminant —emerges as a promising and eco-friendly approach. The present study explores the biodegradation capabilities of the bacterium Priestia megaterium, a species previously recognized for its ability to break down …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Greener 3D Printing: The Role of Artificial Intelligence in Sustainable Polymer and Composite Manufacturing
Abstract: The integration of sustainable materials with additive manufacturing (AM) technologies marks a significant step towards environmentally responsible production. Biodegradable polymers, recycled thermoplastics, and bio-based composites, when used in 3D printing, offer the potential to reduce the ecological footprint of manufacturing. However optimizing the interplay between material properties process parameters, and product performance remains a complex challenge. This review examines how artificial intelligence (AI) is being applied to address these challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 288–300 Read article
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Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Design and Computational Analysis of Hybrid Carbon Fiber-Enhanced Metal Matrix Composite Spur Gears
Abstract: The automobile industry has to find the alternative solution for steel grade gears to overcome the weight to high strength ratio and thermal consideration with high damping properties. This study describes the design, FEM analysis, and performance evaluation of three new hybrid composite spur gears: a monolithic carbon fiber/epoxy (80/20 weight percent) composite (A), and two hybrids with steel (B) and aluminum (C) matrices (64% CF, 21% Epoxy, 15% metal). …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 158–172 Read article
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An Empirical Analysis of Cost, Time, and Quality Relationships Using Correlation and Regression Techniques
Abstract: Cost, time, and quality have been recognized as the three key dimensions that determine construction project performance and are commonly represented through the "Project Management Triangle." However, despite their theoretical linkage, there is limited empirical evidence to quantify the nature of their relationships, particularly within developing construction markets. This paper seeks to contribute to addressing this shortfall by investigating the specific influence of cost and schedule variations upon quality outcomes …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 1, 2026 · pp. 52–60 Read article
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A Comprehensive Study of Sensor and Camera Fusion for Real-Time Parking Space Detection
Abstract: Due to the rapid growth in urban vehicle density, there have been major problems in the effective management of parking space, which has caused congestion, more traveling time, wastage of fuel, and environmental pollution. Conventional parking systems are very ineffective, as they are based on manual surveillance and cannot provide drivers with much real-time information. To overcome these challenges, the present paper explores the design, development, and operation of a …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 1–16 Read article