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1983 articles for “failure-prediction AUROC of 0.967” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Synthesis of Activated Carbon from Corn Cob and Factors Affecting its Adsorption and Desorption Efficiency of Cationic Brilliant Green Dye
Abstract: Extreme dye pollutants released from textile, leather, and pulp industries are becoming a major concern to the water. These pollutants are highly toxic to living things. The major objective of this study was to prepare low-cost and efficient activated carbon from corncob (CCAC) adsorbent through the H2SO4 activation method and characterize its suitability for removing brilliant green dye (BGD) from aqueous solution. The adsorption and desorption efficiency of the prepared …
Published in Journal of Water Pollution & Purification Research · Vol. 12, Issue 3, 2025 · pp. 27–44 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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HPTLC Method Development and Validation for Rabeprazole Sodium in Pharmaceutical Formulation
Abstract: Background: The most common medication for acid related disorders stands as Proton pump inhibitor (PPI) Rabeprazole Sodium. The pharmaceutical formulations require essential quality control of Rabeprazole Sodium through reliable analytical methods to maintain reliability. HPTLC provides a cost-effective rapid method for drug quantification compared to conventional HPLC methods so how HPTLC stands as an appropriate method for drug determination. Objective: The emphasis of this research project involves developing and validating …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 18–24 Read article
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Advancing Brain Tumor MRI Segmentation
Abstract: Segmentation of brain tumors in MRI scans is an integral part of neuroimaging carried out for diagnostic and therapeutic interventions. Given that manual segmentation is cumbersome and highly variable, there arises a need for automated, more precise segmentation solutions. This project, ‘Machine Learning and Deep Neural Networks to Advance Brain Tumor MRI Segmentation’ will develop a better, efficient, and accurate segmentation model to help clinicians identify brain tumors with greater …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 2, 2025 · pp. 28–33 Read article
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Analysing the Deep Hole Drilling Characteristics of AISI 316 Alloy Using Peck Drilling Approach
Abstract: This study aims at the deep hole drilling characteristics of AISI 316 alloy utilizing the Peck drilling procedure. It is well-established that hole is the most prevalent machining process, requiring precise techniques to achieve optimal cutting conditions. AISI 316 has high corrosion resistance and mechanical features. It is widely utilized in the aerospace, vehicle, aircraft, and other industries. Due to its high modulus of elasticity, reactivity at high cutting speeds, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 14–28 Read article
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A Review of Machine and Deep Learning Techniques for Cyber Security
Abstract: Nowadays in the digital landscape, cyber threats and attacks are increasing in an exponential manner, posing server risks to organizations and critical infrastructures. Data breaches often result from sophisticated threat models that exploit vulnerabilities in networks, systems and user behaviors. Cyber solutions are increasingly incorporating machine learning and deep learning to prevent and mitigate these security issues. These technologies have the potential to detect anomalies, classify threats and predict potential …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 01–07 Read article
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Eye Disease Classification Using K-means Clustering Algorithm and Ensemble Classification Approach
Abstract: In this study, we present a comprehensive approach for the classification of eye diseases, specifically targeting normal, cataract, glaucoma, and diabetic retinopathy conditions. This research uses a dataset from Kaggle, which provides a wide and varied collection of retinal images to ensure good representation. The methodology encompasses advanced image processing and machine learning techniques to ensure accurate diagnosis and prediction. The preprocessing phase involves a series of image enhancement techniques …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 3, Issue 2, 2025 · pp. 15–27 Read article
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Sleep Deprivation and Cognitive Performance: The Effects Of Varying Levels Of Sleep Deprivation On Cognitive Tasks
Abstract: The present study investigates the relationship between sleep deprivation and cognitive performance across various cognitive domains, with a focus on gender differences. A total of 139 participants were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Cognitive Failures Questionnaire (CFQ). The results revealed a moderate positive correlation between poor sleep quality and cognitive failures (r = 0.50, p < .001), indicating that individuals with greater sleep disturbances experienced …
Published in International Journal of Trends in Humanities · Vol. 2, Issue 2, 2025 Read article
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Support Vector Machine Inspired Load Forecasting of a State University in Haryana
Abstract: Estimating the possible environmental impact and determining probable capital requirements are made easier with a solid grasp of electricity demand. Beginning in the middle of the 20th century, demand forecasting for electric power networks was studied theoretically. Prior to that, the study of demand forecasting had not developed because of the small scale of power networks. With the use of statistical prediction techniques, plans for the electric power industry have …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 33–40 Read article
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Effect of 3D Printing Process Parameters on the Tensile Strength of Polylactic Acid (PLA)
Abstract: This study employs the Taguchi approach to systematically analyze and optimize critical Fused Deposition Modeling (FDM) parameters, focusing on their effect on the tensile strength of 3D-printed Polylactic Acid (PLA) components. The study explores three levels of layer thickness (0.15 mm, 0.25 mm, and 0.3 mm), infill densities (25%, 50%, and 75%), and nozzle temperatures (200°C, 205°C, and 210°C) across three infill patterns: Triangular, Gyroid, and Zig-zag. A total of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 128–140 Read article
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Thermal Conductivity and Energy Storage Performance of Paraffin Wax-Based Composites Reinforced with Amine Functionalized Graphene as a Nanofiller
Abstract: In this study, amine-functionalized graphene (AFG) was employed as a nanofiller/nanomaterial to enhance the thermal and structural properties of a paraffin wax (PW)-based polymeric composite, formulated as a phase change material (PCM). The PW/AFG composite was synthesized with varying nanofiller volume fractions (0.20%, 0.40%, 0.80%, and 1.60%), and its thermal conductivity, stability, and energy storage performance were systematically analyzed. The incorporation of AFG into the polymer matrix significantly improved the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 355–374 Read article
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Perceived Parenting Styles and its Impact on Imposter Phenomenon and Life Satisfaction in Youth
Abstract: Parenting styles play an important role in forming an individual’s perception of self, thinking process as well as their overall well-being. However, there is limited research on how different methods of parenting influences imposter feelings and life satisfaction. The aim of the study was the understand the relationship between perceived parenting styles and its impact on imposter phenomenon and life satisfaction among youth population. Data from a sample of 100 …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 136–144 Read article
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A Machine Learning Approach to Forecasting Outcomes in Limited Overs Cricket
Abstract: This study explores the application of machine learning techniques to forecasting outcomes in limited overs cricket matches, with a particular focus on One Day Internationals (ODIs). The research investigates how classification algorithms can be effectively utilized to analyze both contextual and dynamic factors that influence match results, including venue details, toss decisions, team strength, and historical performance records. By employing a structured methodology encompassing feature selection, data preprocessing, model training, …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 09–19 Read article
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Comparative Analysis of AI-Based Approach vs. Traditional Methods in Climate Modeling
Abstract: Climate modeling helps to predict the future of climate variations and human interference with environment. The traditional General Circulation Models (GCMs) are based on physics-derived mathematical equations but are very expensive in terms of computation. There are alternative ways to perform climate modeling in recent years with the rise and improvement of Artificial Intelligence (AI) based approaches in term of predictability, efficiency, and classification of extreme events compared to conventional. …
Published in Current Trends in Information Technology · Vol. 15, Issue 3, 2025 · pp. 26–32 Read article
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Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Polymer–Gel Composite Phase Change Materials: A Functional Polymer Composite Approach for Solar-Thermal Energy Storage in Building Facades
Abstract: This study investigates polymer–composite phase change materials (PCMs) in the form of polymer–gel hybrids as multifunctional systems for solar–thermal energy storage in building façades. Paraffin- and PEG-based PCMs were embedded into polyurethane and acrylic gel matrices to create shape-stabilized polymer–composites with high PCM loading (70–80 wt%). Differential Scanning Calorimetry (DSC) confirmed distinct melting/freezing transitions at ~56°C (paraffin) and ~42°C (PEG), with enthalpy values of 120–150 J/g, closely matching theoretical predictions, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 36–51 Read article
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ML-Enhanced Smart Sensing Framework for IoT- Based Structural Health Monitoring Using Conductive Polymer Composites
Abstract: The growing demand for intelligent structural health monitoring (SHM) in dynamic infrastructures necessitates flexible sensing systems that are not only mechanically robust but also capable of real-time interpretation. Conventional SHM frameworks often rely on brittle sensor configurations and cloud-dependent processing pipelines, which suffer from latency, limited durability, and poor adaptability under variable loading conditions. Despite recent advances in composite materials and machine learning, current approaches lack a unified framework that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 348–369 Read article
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Gear-Related Stress Analysis and Comparison Between the Fem and Agma Standards
Abstract: In many different devices, gears enable the efficient transfer of motion and torque. They are an essential component of modern mechanical power transmission systems. It has been demonstrated that bending and surface contact stresses at the gear tooth are the primary causes of gear failure, despite their widespread use. Too much stress can lead to tooth wear, pitting, or breakage, which can ultimately reduce the operating life and reliability of …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 13–18 Read article
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Optimizing Mechanical Properties of Polypropylene Fibre-Reinforced Coconut Shell Concrete
Abstract: This study investigates the impact of polypropylene (PP) fibre reinforcement on the mechanical properties of coconut shell (CS) concrete. The compressive strength of CS concrete is primarily governed by the strength of CS aggregates, with early-age failure attributed to poor bonding and later-stage failure influenced by aggregate strength. The incorporation of PP fibres significantly enhanced compressive, tensile, and flexural strength. At 28 days, compressive strength increased by 1.2–3.45% in CSF …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 6–12 Read article