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799 articles for “linearly”
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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Current Controlled Oscillator Using FinFET
Abstract: A current-controlled oscillator using 18 nm FinFET technology is proposed in this study which consists of a Current Controlled Differential Difference Current Conveyor (CCDDCC) block to control the current. FinFET technology has better scalability and lower leakage current compared to traditional CMOS, which allows it to surpass the obstacles faced by CMOS-based oscillators. The suggested oscillator is suitable for electronic applications such as Phase-Locked Loop (PLL) systems, radio frequency (RF) …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 3, 2025 · pp. 17–28 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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Comparing Results of a Study on Mathematics Instruction in English at Diploma College in Solapur District
Abstract: Study programmes at the Diploma College in Solapur include mathematics courses, which are instructed in English. Comparing the educational outcomes in the Mathematics study course with the English language of instruction is the primary objective of the paper. We concentrated on the students' proficiency in solving specific linear algebra and mathematical analysis problems. The first-year students in the Diploma study programme in Diploma College, Solapur made up the research sample. …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 12–18 Read article
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Establishment of A Set of Similarity Prerequisite Conditions for Low-Cost Similitude Design of Structural System
Abstract: Similitude theory and method is a branch of engineering to establish necessary and sufficient conditions for similarity among complex phenomena. It is of great significance to develop the theory and application method in a more comprehensive way so that the similitude theory can be widely applied to low-cost designs of modern complex structural systems When designing a similitude structural system with various loads and boundary conditions, including rotating machines, it …
Published in Journal of Production Research & Management · Vol. 15, Issue 3, 2025 · pp. 1–15 Read article
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Multifunctional and Photocatalytic Properties of DyFeO₃/Dy₃Fe₅O₁₂ Biphasic Nanoparticles
Abstract: Rare-earth orthoferrites constitute a class of compounds that exhibit remarkable magnetic, optical, and electronic properties across a wide temperature range. In the present study, a dysprosium-based orthoferrite containing dual phases of DyFeO₃ perovskite and Dy₃Fe₅O₁₂ garnet was successfully synthesized via the co-precipitation technique. X-ray diffraction (XRD) analysis was employed to investigate the structural configuration of the synthesized material. The diffraction pattern confirmed the formation of a biphasic composite comprising orthorhombic …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 41–54 Read article
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Smart-Waste-Management-System
Abstract: The rapid urbanization and increasing waste generation pose significant challenges to traditional waste management systems, necessitating innovative solutions that integrate economic principles and management strategies. In order to enhance trash transportation and recycling procedures, this paper investigates the deployment of a Smart trash Management System that makes use of Internet of Things (IoT) components and machine learning algorithms. By applying economic principles such as cost-benefit analysis and resource allocation, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 18–27 Read article
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Inverse Model for Predicting Thermal Abnormality of the Transient Process Triggered by Defective Electronics Element
Abstract: The paper presents a model for predicting thermal abnormalities in Printed Circuit Boards (PCBs) by approximating the thermal process of electric elements with heating from point sources. Circuit board heat sources are defined as point and non-point. The point heat source is a small electronic heating element that can be approximated as having originated from one point on the circuit board. A non-point source is one with heat distributed over …
Published in International Journal of Energy and Thermal Applications · Vol. 3, Issue 2, 2025 · pp. 24–31 Read article
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Unified Mass–Energy Dissolution Cosmology (UMEDC): A Staged Framework for Cosmic Energy Transformation and Late-Time Acceleration
Abstract: The ΛCDM model successfully describes the universe’s expansion but remains fundamentally descriptive: it assigns fixed densities to matter, dark matter, and dark energy without providing a unifying physical mechanism behind their coexistence or evolution. In this work, we introduce the Unified Mass–Energy Dissolution Cosmology (UMEDC), a novel framework based on the staged transformation M → DM → DE, where ordinary matter gradually dissolves into a dark-matter-like reservoir, which subsequently transforms …
Published in International Journal of Universe · Vol. 1, Issue 2, 2025 · pp. 18–34 Read article
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Electroactive Graphene–Polymer Nanocomposites for Self-Sustaining and Multifunctional Flexible Devices
Abstract: Graphene–reinforced polymer–composites were developed and systematically investigated to explore their multifunctionality in flexible electronic applications. The study specifically aims to correlate graphene-induced structure–property–function relationships with electroactive performance and self-sustaining behaviour in flexible devices. The hybridization of electroactive polymers—polyaniline (PANI), poly(3,4-ethylenedioxythiophene): polystyrene sulphonate (PEDOT:PSS), and polyvinylidene fluoride (PVDF)—with graphene nanoplatelets enabled simultaneous enhancement of electroactivity, energy-harvesting, and sensing functionalities. Morphological studies confirmed uniform graphene dispersion at 5 wt.% loading, forming continuous …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 260–271 Read article
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Blockchain Enabled IoT System for Tamper Proof Monitoring of Polymer Composite Manufacturing Quality
Abstract: Ensuring real-time process compliance in resin-based polymer composite manufacturing remains a persistent challenge due to non-linear material behaviors, unpredictable curing dynamics, and fragmented sensor data pipelines. Traditional centralized monitoring architectures struggle to guarantee data integrity, auditability, and adaptive response under high-frequency environmental fluctuations. Most existing frameworks fall short in unifying trust, traceability, and time-critical decision-making particularly during critical cure-phase deviations due to limited integration of blockchain with intelligent sensor systems. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 126–145 Read article
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IoT-Enabled Flexible Polymer Sensors for On-Body Health Monitoring and Real-Time Data Transmission
Abstract: Wearable health monitoring systems have grown increasingly vital in shifting care beyond clinical settings, yet many existing technologies remain hamstrung by rigid substrates and unreliable data streaming, impeding continuous and comfortable physiological assessment. Despite advances in flexible materials, most current sensor platforms suffer from limited mechanical endurance, signal instability under dynamic conditions, or an inability to sustain real-time wireless transmission. This work addresses those deficiencies by introducing a fully integrated, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 188–200 Read article
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A study on IoT and AI for Predictive Modeling and Control of Infectious Disease Transmission
Abstract: Background: The global response to novel and recurring infectious diseases is frequently hindered by surveillance systems that are slow, siloed, and reactive. Traditional epidemiology relies on retrospective analysis of clinical reports, often missing the critical early phase of autocatalytic spread. The urgency of modern public health necessitates a shift toward real-time, predictive intelligence. Methods: This study investigates the development and deployment of a synergistic paradigm integrating the Internet of Things …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Improving Supply Chain Resilience through Predictive Analytics and Real-Time Data Integration
Abstract: Demand forecasting has under gone major changes because to the incorporation of automated analytics into supply chain management (SCM), which has improved company productivity, accuracy, and responsiveness. Central to this transformation is the application of machine learning (ML), which enables the analysis of large and complex datasets to identify patterns, detect trends, and generate precise forecasts. Conventional methods for predicting frequently rely on linear models and historical sales data, which …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 8–17 Read article
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Regression Analysis of Topological Indices and Physicochemical Properties of Polymer-Based Anticancer Drugs
Abstract: The research analyzed the quantitative correlation between topological indices and the physicochemical properties of selected anticancer compounds using regression analysis. Various topological descriptors—such as the First Zagreb Index, Second Zagreb Index, and Forgotten Index were calculated and regressed against key molecular features, including polar surface area, melting point, and molar refractivity. The regression analysis revealed linear correlations between these topological indices and the properties of anticancer drugs, with particularly strong …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 255–267 Read article
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DC Motor Control using Deep Reinforcement Learning for Enhanced Robustness and Precision
Abstract: DC motors remain the workhorse of industrial automation and mobile robotics, but achieving simultaneous high-speed transient response and negligible steady-state error under variable load conditions continues to challenge classical Proportional-Integral-Derivative (PID) controllers. These model-dependent systems often require extensive tuning and struggle to maintain optimal performance when confronted with parametric uncertainties, non-linear friction, or sudden voltage fluctuations. This study presents a novel, model-free control paradigm utilizing Deep Reinforcement Learning (DRL)—specifically, a …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 22–29 Read article
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Elucidation of Physical Structural Stability of Nickel Nanoparticles Additive-Based Magnetorheological Grease
Abstract: This study investigates the influence of nickel nanoparticles on the physical properties and structural stability of magnetorheological grease (NMRG) as a smart composite. The incorporation of nickel nanoparticles aims to mitigate issues commonly observed in conventional magnetorheological grease (MRG), including particle aggregation within the fibrous matrix, limited material performance, and deformation instability. NMRG samples containing 1–5 wt% nickel nanoparticles were prepared using a mechanical stirring method. The tests focused on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 191–215 Read article
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Graph Theoretic Analysis of Cyclodextrin Polymers
Abstract: Topological indicators in chemical graph theory are essential tools in cheminformatics, providing valuable insights into molecular structure and properties to make more accurate predictions about the behavior and efficacy of novel compounds in drug design. The macro molecules are correlated with certain derivatives. The derivatives are growing structures which depends on the cyclic structures. The Cyclodextrin is one of the cyclic structures which depends on the carbon atoms. The polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 997–1006 Read article
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Fault Diagnosis of Air Compressor (AC) System using Local Mean Decomposition (LMD) and Logistic Regression (LR) Machine Learning Classifier
Abstract: This article presents a detailed and systematic procedure for performing fault diagnosis in an air compressor (AC) system by analyzing the audio signals generated during its operation. The analysis covers both normal (healthy) conditions and seven distinct types of faults, including bearing failure, flywheel malfunction, inlet valve leakage, outlet valve leakage, non-return valve failure, piston ring defect, and rider belt issues. To acquire the acoustic signals, the researchers utilized a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 416–427 Read article
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Bioinspired Nanocomposite Bone Pins: Fabrication, Evaluation, and Suitability for Orthopedic Implant Applications
Abstract: Bone tissue engineering (BTE) requires scaffolds that mimic bone’s mineral–organic composition, offering mechanical strength, bioactivity, and degradation rates compatible with regeneration. Conventional metallic implants face corrosion and toxic ion release risks, while ceramics like hydroxyapatite (HAp) are bioactive but brittle. This study reports a multifunctional hybrid scaffold combining HAp for osteoconductivity; polycaprolactone (PCL) and collagen for flexibility and biocompatibility with sodium citrate for nanoparticle dispersion, ferrocene (Fc) for catalytic bioactivity; …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 526–540 Read article