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1914 articles for “Interval Type-2 fuzzy logic” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Molecular Surveillance of Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV) Across Major Aquaculture Zones of Telangana, India
Abstract: Viral diseases represent a persistent threat to cyprinid aquaculture; however, region-specific surveillance data from tropical production systems remain limited. To address this gap, a comprehensive statewide active surveillance programme was undertaken across Telangana, India, from 2019 to 2022 to investigate the occurrence of two priority transboundary pathogens, Spring Viraemia of Carp Virus (SVCV) and Koi Herpesvirus (KHV). A total of 414 fish specimens were systematically collected from five surveillance sectors …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Industrial Prognostics via Ensemble Machine Learning: An Uncertainty Aware Framework for RUL Estimation on NASA FD004 Telemetry
Abstract: Estimating the Remaining Useful Life (RUL) of industrial machinery in real-time is now vital for both operational safety and smart resource management. In the aviation industry, turbofan engines deal with constantly shifting flight conditions, making traditional, scheduled maintenance both expensive and prone to error. This paper addresses the flaws in common “point-prediction” AI models, which offer a single failure date without any margin for error, by introducing a new, uncertainty-aware …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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Passive Augmentation Studies in a Double Pipe Heat Exchanger with Ellipsoidal Dimples
Abstract: In this work, the numerical studies of heat transfer augmentation of a counter-current double pipe heat exchanger with ellipsoidal dimples (inward-facing, raised dimples) on the inner tube was performed using SOLIDWORKS software. The effect of dimple depth, dimple pitch and number of dimples/angles between two dimples on heat transfer was investigated at a constant volumetric flow rate of 4 LPM for hot (water) and cold (water) fluids. The effect of …
Published in Journal of Thermal Engineering and Applications · Vol. 13, Issue 2, 2026 Read article
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Design, Mathematical Modeling, and Dynamic Optimization of a Speed Breaker-Based Vehicular Kinetic Energy Harvester
Abstract: Decentralized energy harvesting methods are becoming more popular due to rapid urbanization and the rising need for sustainable infrastructure. The road-embedded vehicle kinetic energy harvester (VKEH) design, mathematical modelling, and experimental validation are presented in this work. This paper presents the structural engineering, continuum mathematical modeling, and experimental validation of an optimized road-embedded vehicular kinetic energy harvester (VKEH). The mechanism utilizes a spring- loaded, low-friction rack-and-pinion transmission coupled with a …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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Institutional Engagement with Indigenous Knowledge: A Global Scientometric Analysis
Abstract: This study provides a comprehensive global scientometric analysis of institutional engagement with Indigenous Knowledge (IK) research from 1992 to 2025. It seeks to chart the transition from traditional preservation to contemporary digital curation and identify key geopolitical and disciplinary shifts. A corpus of 304 peer-reviewed publications was retrieved from Scopus. The study utilized science mapping via VOSviewer and performance metrics through the R-package Bibliometrix to assess longitudinal changes and thematic …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 2, 2026 · pp. 55–69 Read article
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Smart Iron Box with Automatic Cloth Detection and Heat Adjustment
Abstract: Ironing continues to be a lengthy and sometimes monotonous activity in domestic chores; especially among those with busy schedules who need to ensure efficiency and minimize risks of harming delicate fabrics. This document discusses the design and development of an intelligent ironing machine that performs ironing tasks using embedded computing and multi-sensor fabric identification. Unlike traditional irons that depend entirely on the manually chosen temperatures and user discretion, the developed …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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ASSESSING OF FOREST STRUCTURE USING EARTH OBSERVATION DATA: ACASE STUDY IN MUNESSA FOREST, OROMIA REGION, ETHIOPIA
Abstract: Forest structure is essential for estimating forest-related carbon emissions, analyzing forest degradation, and quantifying the effectiveness of forest restoration initiatives. However, forest structure quantification is only limited to the specific area of interest without considering the whole forest coverage. Remote sensing data can easily deliver a large area to assess forest structure. Therefore, this study aims to assess forest structure of Munessa Natural Forest by integrating satellite based light detection …
Published in International Journal of Land Read article
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Taguchi Design for Optimization of Reinforcement at Toe area of Carbon Fiber Foot Plate
Abstract: This paper uses the Taguchi method to design experiments to determine the effect of various factors, such as fiber orientation, fiber type, and number of layers, on the reinforcement at the toe area. The experiments are Taguchi method, which allows for identifying the optimal combination of factors that minimize the carried out using a combination of computer simulations and physical tests. The results are analyzed using the variability in the …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 115–121 Read article
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Recent Advancements and Layering Techniques in Nanoparticle-Reinforced Hybrid Composites: A Comprehensive Analysis
Abstract: This review examines the advancements in nanoparticle-reinforced fiber composites, focusing on natural fibers, synthetic fibers, hybrid composites, and fiber metal laminates (FMLs). Nanoparticles such as SiO₂, TiO₂, Al₂O₃, and graphene, introduced at 0.5–3% volume, have significantly enhanced mechanical, thermal, and wear properties. Comparative studies reveal that hybrid composites reinforced with 1–2% nanoparticles show a 20-30% increase in tensile strength and a 15-25% improvement in thermal stability compared to non-reinforced composites. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 83–89 Read article
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Dielectric Studies of 0.5Ba0.8Ca0.2TiO3.0.5CaCu3Ti4O12 Nanoceramic Fabricated by Chemo-mechanical Process
Abstract: The present investigation is aimed toward investigate a straightforward, inexpensive, and environmentally friendly chemo-mechanical method for preparing high-dielectric materials, specifically 0.5Ba0.8Ca0.2TiO3.0.5CaCu3Ti4O12 (BCT-CCTO), by combining metal nitrate combustion with solid TiO2 powder and titanium isopropoxide, Ti (OR)4. The composite was prepared by the mixing of individual materials of Ba0.8Ca0.2TiO3 and CaCu3Ti4O12 through the chemo-mechanical method. Initially, 99% pure Ba (NO3)3, Cu (NO3)2∙3H2O, TiO2 and glycine were taken in their stoichiometry ratios. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 12–21 Read article
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Revolutionizing Energy Systems: The Impact of Steam and Its Technological Evolution
Abstract: The problem of environmental contamination, which is important for both public health and the economy, has been addressed through a great deal of research on the sterilization and disinfection of pollutants and microorganisms. Many types of pollutants and hazardous materials, such as microorganisms and toxic gases, are discharged into the environment and can enter the human body through ingestion, adsorption, or inhalation. Numerous respiratory conditions, strokes, lung cancer, and heart …
Published in Journal of Catalyst & Catalysis · Vol. 12, Issue 2, 2025 Read article
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Experimental Study and Comparative Analysis of Fly Ash, GGBS, and Silica Fume in Nominal Concrete and Ternary Blended M25 Concrete
Abstract: This study examines the effects of partially substituting 30% of cement by weight with ternary supplemental cementitious materials (TSCMs) with mix proportions of M1, M2, and M3. These materials include fly ash (10%,15%,15% in M1, M2, and M3), ground granulated blast furnace slag (GGBS) (10%,8%,10% in M1, M2, and M3), and silica fume SF (15%,10%,5% in M1, M2, and M3) on the mechanical and durability properties of M25 grade concrete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 43–50 Read article
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Digitally Tunable Dual-Phase Polymer–PCM Composites for IoT-Based Adaptive Thermal Management in Smart Buildings
Abstract: This study presents the design and development of digitally tunable dual-phase polymer–phase change material (PCM) composites for advanced thermal management in smart building applications. The composite is based on a hybrid polymer matrix comprising thermoplastic polyurethane (TPU) and a crosslinked polyvinyl alcohol (PVA) gel, reinforced with paraffin microencapsulated PCM and hydrated salt PCM to achieve multi-stage thermal energy storage. The polymer composite architecture enables enhanced structural integrity, high encapsulation efficiency …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–157 Read article
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A Review on Social Distancing ID Card
Abstract: The frequency of fire accidents in homes, industries, and public spaces has increased due to electrical faults, human negligence, and flammable materials. Traditional fire-fighting systems often depend on human presence and manual intervention, which delays the response time. To overcome this limitation, this project presents an Automatic Fire Extinguisher System based on Arduino and IoT technology for real- time detection and suppression of fire. Gas, temperature, and flame sensors are …
Published in Current Trends in Signal Processing · Vol. 16, Issue 2, 2026 Read article
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Sensory Psychology of Supergrain Bakery: Consumer Perception Beyond Taste
Abstract: Bakery products remain a cornerstone of diets worldwide, yet wheat-based formulations are increasingly supplemented or replaced as consumers demand healthier, more functional alternatives. Supergrains such as quinoa, amaranth, millet, and cowpea, together with fruit-based flours such as guava flour, have been extensively investigated to enrich wheat-based products and improve their nutritional value. At the same time, the science of sensory psychology has become central to product acceptance, as taste, aroma, …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 Read article
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A Factorial Investigation of Hyperparameter Tuning Strategies for Lasso- Based Genomic Prediction
Abstract: In an earlier comparative study of machine-learning methods for genomic prediction of wheat grain yield, we reported a counter-intuitive result: automated nested-cross-validation tuning of the Lasso regularization penalty reduced mean predictive ability relative to a fixed, arbitrarily chosen penalty (mean Pearson r falling from 0.408 to 0.349 across four environments), the opposite of the expected effect of hyperparameter tuning. We hypothesized two possible explanations at the time — high-variance penalty …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Artificial Intelligence-Assisted Multi-Objective Optimization of Agricultural Biomass-Reinforced Polymer Composites
Abstract: Agricultural biomass can reduce the environmental burden of polymer composites, yet its heterogeneous structure creates competing effects on strength, moisture resistance, density, and process ability. This study developed an artificial intelligence-assisted framework for balanced composite formulation. Experimental data of agricultural biomass reinforced polymer composites were gathered, harmonized and validated using leakage controlled validation. The mechanical and physical properties were predicted by artificial neural networks and conventional regression models. Explainable analysis …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Sequence analysis, DNA Methylation and Molecular therapy of Oral cancer caused by Human Papilloma Virus
Abstract: DNA methylations with oral cancer are been associated with high-risk Human Papillomavirus (HPV) and Epstein-Barr Virus (EBV) onco-proteins interactions may cooperate to increase disease severity. The work focused on human papillomavirus strain 16, a high-risk, sexually transmitted responsible for 95% of all cervical cancers and a large portion of oropharyngeal cancers. The prediction of genes from has shown seven genes from HPV16 strain. Based on gene identification studies, Human papilloma …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 4, Issue 2, 2026 · pp. 1–9 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article