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963 articles for “performance evaluation”
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Evaluation on Bioremediation Kinetics of Petroleum- Contaminated Soils Using Plant-Based Amendments
Abstract: The effectiveness of bioremediation processes is strongly influenced by environmental conditions, reactor design parameters, microbial characteristics, and pollutant properties. This study investigates the combined effects of environmental-related factors, reactor design considerations, organism- related characteristics, and pollutant properties on the degradation of total petroleum hydrocarbons (TPH) in swampy and clay soils amended. Laboratory-scale remediation experiments were conducted over an 84-day period using amendment dosages ranging from 20 to 100 g. The …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 1, 2026 · pp. 24–30 Read article
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Kinetics of Soil Contaminant Degradation Enhanced by Jatropha Tanjorensis Leaf Bio-Stimulant
Abstract: The data obtained from the experiment show a high viability of the plant extracts in the biodegradation process, the maximum specific rate was determined. Also, application of Michael Menten’s equation were also applied, the maximum dissociation rate constant was obtained from lineweaver bulk plot, for both sun-dried and room dried at 100 g of CPED and CPEL as RMAX to be 1000 ppmday-1 and 555.55 ppmday-1 whereas KPTH 3190.16 ppm-1 …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 1, 2024 · pp. 01–06 Read article
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The Integrity of Eadic-Hofstee Plot Model to Predict the kinetic Parameters of Crude Oil Degradation using Vernonia amygdalina Stem
Abstract: The integrity of Eadic-Hofstee concept was tested for the determination of the functional coefficients and parameters of crude oil degradation kinetics. The techniques enhanced the relationship between the substrate divided by the specific rate of the substrate degradation against substrate concentration (TPH). The investigation reveals the values of the biokinetic parameters of maximum specific rate of substrate degradation (Vmax) and the equilibrium constant values of the substrate degradation (Ks). The …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 37–47 Read article
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Development of Environmentally Sustainable Epoxy Composites with Sunflower Seed Husk Fillers and Study on Thermal and Moisture Properties
Abstract: This study examines the development and characterization of epoxy composites reinforced with sunflower seed husk (SSH) fillers fabricated using the compression molding technique. SSH fillers were categorized into two distinct particle size distributions, namely, 4–53 µm and 79–463 µm, and were incorporated into the epoxy matrix at varying volume fractions ranging from 5% to 20%. The water absorption behavior of the composites was assessed according to ASTM standards, and thermogravimetric …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 28–37 Read article
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Development and Comparative Study of Aluminium- Copper Metal Based Composite Through Different Routes
Abstract: The aim of this study is to develop aluminium-copper composite through powder metallurgy technique. Powder metallurgy is an art or technology which can produce exact dimension of final roducts utilizing less energy. Copper oxide (CuO) was used as the source of copper, which was extracted through a reduction process using dextrose. The reaction was thoroughly examined and reported. Commercially available aluminium powder served as source of the aluminium. Aluminium- copper …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 19–32 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article
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Buckling Assessment of Concrete Column, RCC Column and Concrete Column Strengthened by CFRP with Different Slenderness Ratio.
Abstract: Using finite element modeling, this study presents a buckling analysis and total deformation assessment of a concrete column, a column made of reinforced cement concrete (RCC), and a concrete column enhanced with Carbon Fiber-reinforced Polymer (CFRP) laminates (FEM). Utilizing the ansys18.1 software, a comprehensive analysis is carried out for columns that have a variety of slenderness ratios to arrive at a more accurate performance estimation. Because they can support the …
Published in Journal of Polymer & Composites · Vol. 10, Issue 3, 2022 · pp. S11–S22 Read article
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AI Based Mock Interview Evaluator
Abstract: AI-based mock interview platform that acts as a bridge between real interviews and preparation. The system evaluates users based on emotions, confidence, and knowledge. Emotions are analyzed using a deep learning CNN algorithm to classify facial expressions. Confidence is also a main feature in interview which is assessed through speech recognition using natural language processing. Knowledge assessment involves taking online tests and answering along with the description. This platform aims …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 1–5 Read article
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AI/ML-Based Approach to Solar Irradiance Prediction and Energy Suitability
Abstract: In this paper, due to challenges in precisely predicting solar irradiance, which is essential for solar power system optimization, we employed six diverse machine learning (ML) techniques: Linear Regression, Decision Tree, Random Forest, Gradient Boosting methods (including XGBoost), and Neural Networks—to analyze and predict outcomes using a dataset containing meteorological and temporal features. Key variables include wind speed, humidity, and temperature, which significantly influence the model’s predictive capability. Each method …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 16, Issue 3, 2025 · pp. 36–48 Read article
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Optimizing Multi-Cloud Infrastructure: Advanced Bash-Based Automation for Automated Security Patching and Health Monitoring in Hybrid Linux Environments
Abstract: The proliferation of multi-cloud and hybrid Linux environments has introduced significant operational complexity, particularly in maintaining security compliance and system reliability across diverse infrastructure silos. Traditional patch management approaches, relying on manual interventions or disparate vendor-specific tools, suffer from latency, configuration drift, and limited visibility. This article presents a novel, lightweight automation framework constructed entirely in advanced Bash scripting to address automated security patching and real-time health monitoring across hybrid …
Published in Journal of Advances in Shell Programming · Vol. 13, Issue 2, 2026 Read article
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Technical Advances in Drone Applications for Environmental Surveillance
Abstract: Unmanned Aerial Vehicles (UAVs), or drones, have rapidly evolved into essential tools for environmental monitoring and conservation due to their advanced sensor integration, real-time data acquisition, and autonomous operational capabilities. This review explores the multidisciplinary convergence of drone technologies with environmental science, emphasizing the technical and engineering aspects that drive these applications. The study outlines key UAV system components—including multispectral and hyperspectral imaging, LiDAR, thermal sensing, and real-time GPS-AI integration—highlighting …
Published in International Journal on Drones · Vol. 1, Issue 2, 2025 · pp. 14–20 Read article
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Evaluation of composite material based on different phases of Face recognition System
Abstract: Composite materials can indeed play a crucial role in various phases of a face recognition system, offering advantages such as lightweight construction, durability, and tailored mechanical properties. Let's explore how composite materials can be utilized in different phases of a face recognition system. A composite material based different phases of Face recognitions System is software that recognizes or verifies a person based on a digital image or a frame from …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 195–204 Read article
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Thermal and Electrical Performance of Aluminum-Reinforced GFRP Composites
Abstract: This work examines an economical approach to improve the thermal load protection of Glass Fiber Reinforced Polymer (GFRP) composites, commonly utilized in aircraft constructions, pressure containers, and electrical insulators. Notwithstanding their superior mechanical capabilities, GFRP composites are susceptible to elevated temperatures and electrical currents, frequently resulting in considerable structural deterioration. The study introduces an innovative method employing aluminum reinforcement to enhance the thermal conductivity and protection of GFRP composite laminates. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1062–1075 Read article
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Design and Analysis of Honeycomb Rear Door Map Pocket by Application of Finite Element Method
Abstract: In modern automobiles, the door trim plays a vital role in both functionality and occupant safety. It integrates various convenience features such as armrests, power window switches, and map pockets, while also contributing to crash energy absorption during side impacts. In such collisions, the occupant's body typically contacts the door trim, making its design and material selection critical for minimizing injury through controlled deformation and energy dissipation. This research focuses …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 940–951 Read article
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Experimental Exploration of Crack and Damage Dynamics of Hybrid FRP Nano Composites
Abstract: Fiber-reinforced polymer (FRP) composites have become essential materials in modern engineering structures because of their excellent strength-to-weight ratio, corrosion resistance, and adaptability in design. Among different fracture modes, Mode I interlaminar fracture where cracks propagate under tensile opening stresses is one of the most critical forms of damage in layered composites. Since delamination occurs within the matrix-rich regions between plies, improving the matrix properties plays a key role in enhancing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 220–232 Read article
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Effect of Chemically Treated Plant Cellulose on Mechanical, Fatigue and Fracture Toughness Behaviour of Polyester Composite
Abstract: In this research study, the effect of chemically treated plant cellulose on the mechanical, fatigue, and fracture toughness behaviour of polyester composites was investigated. Ramie plant cellulose fibers were used as the reinforcing material, and polyester resin was used as the matrix material. Three different chemical treatment processes, namely alkalization, acetylation, and etherification, were used to adapt the superficial chemistry of the fibers and advance their compatibility with the polyester …
Published in Journal of Polymer & Composites · Vol. 11, Issue 3, 2023 · pp. 21–29 Read article
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Occupational Health and Safety Measures Among Healthcare Workers in Ancillary Departments of Private and Tertiary Care Hospitals of North India
Abstract: The purpose of this study is to evaluate healthcare workers’ knowledge, attitudes, and behaviors about Occupational Health and Safety (OHS) measures in ancillary departments of private and tertiary care hospitals in North India. 860 respondents, representing a wide spectrum of healthcare personnel, were given a thorough survey to gauge their knowledge of OHS procedures, their training, and their compliance with safety precautions. The poll also aimed to determine the typical …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 · pp. 7–16 Read article
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A Comprehensive Analysis of Classification Methods for Churn Prediction in Financial Services
Abstract: Persistent issues that affect long-term revenue in the banking sector include excessive client attrition. Customary churn models depend on measures related to customer satisfaction, which often result in low predictive accuracy due to their subjective nature. This study proposes an effective early warning model to address customer churn in financial services. Data is preprocessed through cleaning, one-hot encoding, Z-score normalization, and Min-max scaling. To handle class imbalance, the SMOTE algorithm …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 2, 2025 · pp. 47–61 Read article
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Comparative Analysis of Tensile Properties of Virgin and Rice Husk-Reinforced PLA and ABS Filaments
Abstract: This study focuses on evaluating the tensile behavior of polylactic acid (PLA) and acrylonitrile butadiene styrene (ABS) filaments reinforced with rice husk ash (RHA) particles, in comparison with their respective virgin counterparts. The incorporation of RHA, an abundant agricultural waste by-product, was considered with the objective of developing eco-friendly composites suitable for additive manufacturing applications. Tensile testing was carried out to assess the influence of the reinforcement on the mechanical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 224–229 Read article
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Control System for Off-Grid Multiple Hybrid Renewables
Abstract: This article focuses on designing a renewable energy control system for a household self-consumption network, combining solar and hydroelectric energy to meet the energy demand of a standard home. We conducted an exhaustive analysis of each energy source, evaluating parameters such as solar radiation, optimal tilt of photovoltaic panels, and conversion system efficiency. Equipment for this system is selected based on the characteristics obtained in the study. Hydroelectric energy is …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 20–34 Read article