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294 articles for “NIT”
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A SEIR-Informed Stacked Fusion of Prophet, XGBoost, and LSTM for Ward-Level Epidemic Forecasting in Amravati Municipal Corporation
Abstract: Municipal epidemic preparedness depends on accurate short-horizon forecasts at fine spatial granularity. Ward-level incidence series are typically nonstationary due to changing contact patterns, interventions, reporting delays, and heterogeneous demographic and environmental factors. This paper presents a mathematically formulated hybrid forecasting architecture designed for Amravati Municipal Corporation (AMC). The method decomposes observed incidence into (i) a mechanistic SEIR baseline that enforces epidemiological structure and (ii) a data-driven residual learned using Prophet …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 17–23 Read article
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An Analytical Review of Machine Learning Methodologies
Abstract: Machine Learning (ML) is a dynamic and rapidly developing area of computer science that enables the system to learn from data and improve its performance without clear programs. Rooted in statistical theory and computer algorithms, ML has become a major technology that progresses in artificial intelligence. It strengthens the detection of the recommendations and speech for extensive applications from autonomous vehicles and medical diagnoses. This paper has reviewed the basics …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 13–21 Read article
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Path Lab-AI: An Autonomous Framework for Error-Free Histopathology Slide Interpretation
Abstract: Path Lab-AI represents a fully autonomous platform for the analysis of histopathology slides with circumscribed structures, designed to obtain highly accurate results using diagnostic methods and avoiding the usual limitations of standard microscopy-based pathology. Leveraging recent deep learning and whole slide image (WSI) analysis innovations, our system takes advantage of automated WSI ingestion along with pre-processing steps to account for staining variability, remove artifacts, and localize tissue from background. Such …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 13, Issue 1, 2026 · pp. 19–30 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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AI-Accelerated Development of Gradient Polymer Nanocomposite Thin Films
Abstract: Gradient polymer nanocomposite thin films are an active field of materials research due to the fact that it enables scientists to de-facto regulate the optical, electrical, and mechanical properties of a film by merely altering its composition on a layer-by-layer basis. This type of control opens the gate to the improved flexible electronics, long lasting protective coats, and the new smart gadgets. The problem is, though, that it is a …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 456–469 Read article
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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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Nature’s Pharmacy: Plant-Based Antifungal Agents and Their Therapeutic Potential
Abstract: Antifungal resistance has increased dramatically over the last 10 years, causing serious problems for healthcare because of higher morbidity and death. The urgent need for new treatments is highlighted by the scarcity of effective antifungal medications, their toxicity, and the rise of resistant strains. Since many plants have bioactive secondary metabolites with strong antifungal qualities, including alkaloids, flavonoids, terpenoids, phenolics, and saponins, ethnobotanical sources offer a viable path. Plants with …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article
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A Study on Measures to Improve Digital Education and Technological Advancement Towards Tribal Community Enrichment and Life Satisfaction - Nilgiri District – TN
Abstract: This study examines measures to enhance digital education and technological advancement for the enrichment of tribal communities and life satisfaction in the Nilgiri district, Tamil Nadu. The research aims to assess the current state of digital education accessibility, identify challenges faced by tribal populations, and propose strategies to bridge the digital divide. Using a structured questionnaire, primary data was collected from 60 respondents, including students, educators, and community members, selected …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 1–5 Read article
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Corrugated Tube Shell-and-Tube Heat Exchanger Using Epoxy-Based Polymer Composite Coatings for Lightweight and Efficient Thermal Systems
Abstract: Corrugated tube geometries are widely recognized for their ability to enhance heat transfer through boundary layer disruption and secondary flow generation. In this study, a combined experimental and computational investigation is carried out to evaluate the thermo-hydraulic performance of a shell-and-tube heat exchanger incorporating corrugated stainless steel tubes integrated with an epoxy-based polymer composite coating and housed within a mild steel shell. Unlike conventional metallic systems, the present work introduces …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 603–617 Read article
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Evaluation on the Mechanical Strength of TIG Welded 6061Aluminium Alloy Joints
Abstract: Aluminum alloy Al-6061 is extensively used in aerospace, automotive, and marine industries due to its excellent mechanical properties, lightweight nature, and corrosion resistance. However, welding this alloy presents challenges such as porosity, hot cracking, and strength reduction in the heat-affected zone (HAZ). Tungsten Inert Gas (TIG) welding, known for its precision and quality, is commonly employed for joining Al-6061. This study investigates the tensile strength of TIG-welded butt joints of …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 34–39 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article
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Fabrication and Mechanical Characterization of Hybrid Natural Fiber Reinforced Composites using Ferromagnetic and Graphite Fillers
Abstract: The past few years have seen a lot of interest in the creation of hybrid natural fiber composites because of their lightweight properties, environmental friendliness and their potential use in structures. The hybrid composite laminates in the current study were produced by the hand lay-up process by blending the natural fibers with the functional filler materials. Three types of composite structures were created and these are Natural Composite Material (NCM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 498–511 Read article
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Explainable Machine Learning Integrated with Polymer-Based Diagnostic Technologies for Liver Health Classification
Abstract: Early and reliable assessment of liver health is essential for timely treatment, yet most machine-learning approaches face limitations such as class imbalance and low clinical interpretability. This study proposes a polymer-integrated, explainable machine-learning framework that combines SMOTE-based data balancing, Logistic Regression, and XAI techniques (SHAP and LIME) for transparent liver-health classification. In addition to ML modelling, the study emphasizes the emerging role of polymer-based biosensors, microfluidic polymer chips, polymer nanomaterials, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 631–643 Read article
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Influence of Antibiotic Promotion Practices on Pharmacovigilance and Resistance Reporting Patterns
Abstract: The global escalation of antimicrobial resistance (AMR) has emerged as a critical public health crisis, undermining decades of therapeutic advancements. While inappropriate prescribing and misuse of antibiotics are widely acknowledged contributors, the role of pharmaceutical promotion practices remains underexplored in influencing prescribing behaviors and downstream pharmacovigilance systems. This review critically examines how antibiotic promotion strategies – ranging from direct physician engagement to digital marketing – affect adverse drug reaction (ADR) …
Published in International Journal of Antibiotics · Vol. 3, Issue 2, 2026 · pp. 1–11 Read article
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Computational Modeling of Polymer Semiconductors for Electronic Applications
Abstract: Polymer semiconductors have become important materials in modern electronic applications because they combine semiconducting behavior with mechanical flexibility, low-cost processing, and tunable molecular structure. Their growing use in organic field-effect transistors, organic photovoltaics, organic light-emitting diodes, and flexible sensing devices has increased the need for accurate computational approaches that can predict material properties and device performance before experimental fabrication. This paper reviews the major computational modeling techniques used for polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 132–146 Read article
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Polymeric Materials in the Anthropocene: Environmental Accumulation, Human Health Concerns, and Cultural Response
Abstract: Polymers made via conventional techniques are very useful because of their strength, adaptability, and cheap. Plastics are not degradable naturally, which creates lots of environmental issues. As plastic products degrade over time, they decompose into microplastics which enter the environment. These microscopic particles called microplastics have been identified in agricultural soils, freshwater and marine environments, and atmospheric dust, enabling their continuous movement through ecosystems and food webs. Recent research shows …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1016–1034 Read article
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Experimental Investigation of Polymer Composite-Based Protective Structures for Mitigating Crash-Induced Mechanical Abuse in Lithium-Ion Batteries
Abstract: The objective of this paper is to determine the effectiveness of using polymer composite protective structures to protect against the mechanical abuses associated with crash impacts that affect lithium ion batteries in terms of their structural integrity and their overall safety. In addition to their use in electric vehicles, lithium ion batteries are also being increasingly used in renewable energy based energy storage systems because they have high energy densities, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Medicinal Pteridophytes of Himachal Pradesh: Exploring Their Role in Alleviating Respiratory and Gastrointestinal Disorders
Abstract: Pteridophytes, comprising a diverse group of vascular cryptogams, have been widely used in traditional medicine for their medicinal properties. The therapeutic potential of different medicinal pteridophytes in treating gastrointestinal and respiratory conditions is investigated in this study. Their bioactive substances, including flavonoids, alkaloids, tannins, and saponins, which have anti-inflammatory, antibacterial, and antispasmodic properties, are highlighted by both traditional knowledge and recent research. Specific species, such as Adiantum capillus-veneris (maidenhair fern), …
Published in Research & Reviews : Journal of Herbal Science · Vol. 15, Issue 2, 2026 Read article