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1452 articles for “value”
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Real-time Water Quality Analysis Using Fuzzy Logic
Abstract: Nowadays the availability of safe drinking water is very difficult. In our project we are analysing water quality using different parameters like pH, turbidity, temperature and TDS for determining its safety level by monitoring the data from the readings. Moreover, we have a monitoring system for the data and also a webpage where all the data from these system is displayed. The sensors are connected to an Arduino Nano microcontroller …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 2, 2026 · pp. 01–11 Read article
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Neuromorphic Spiking Neural Networks and Event-Driven Hardware: Architectures, Learning Paradigms, and Experimental Realizations
Abstract: With the current computational boom the research community is seeking for more sustainable energy efficient i.e. biologically inspired models of conventional Artificial Neural Networks (ANNs). Spiking Neural Networks (SNNs) known as the third generation of neural network models, provide a revolutionary approach by mimicking the asynchronized event-driven and temporally accurate signaling of the mammalian brain. Whereas conventional deep learning models operate with real-valued activations and dense matrix multiplications, SNNs use …
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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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 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
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An Investigation on Influence of Gamma Irradiation and Doping on Chemical Structure and Optical Properties of Conducting Polypyrrole
Abstract: In this study the authors report on effect of gamma irradiation and doping (bromine, iodine and sulfate ion) on chemical structure and optical, electronic properties of poly pyrrole. Optical absorption spectrum of PPY shown absorption bands centered around 36.2.5nm (peak 1), 450 nm (peak2) and 525 nm (peak 3) positions Gamma irradiation resulted in broaden of peak A together with a band shift of 45- 525 nm and disappearance peaks …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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A Comprehensive Investigation of Bagging-Based Ensemble Methods for Improving Machine Learning Model Robustness
Abstract: Machine learning models such as Decision Trees, Logistic Regression, and K-Nearest Neighbors are widely used for classification tasks due to their simplicity and interpretability. However, these models often suffer from high variance, overfitting, and poor generalization when applied to real-world datasets, particularly those that are small, noisy, or imbalanced, as commonly encountered in healthcare, finance, and cybersecurity applications. To address these limitations, this research proposes a Bagging (Bootstrap Aggregating)-based ensemble …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 24–34 Read article
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Thermal Performance Analysis and Optimization of Pin-Fin Heat Sink Using CFD, Taguchi Method, and Machine Learning
Abstract: Efficient thermal management is essential for improving the performance and reliability of modern engineering systems and electronic devices. This study presents the design, simulation, and optimization of a pin-fin heat sink using SolidWorks for three-dimensional modeling and ANSYS for thermal and computational fluid dynamics (CFD) analysis. Four different pin-fin geometries, namely square, pentagon, octagon, and circular fins, are considered to evaluate their thermal performance under varying operating conditions. Aluminum is …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 2, 2026 Read article
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A Threshold-Weighted Mathematical Fusion Model for Epidemic Outbreak Prediction Using SEIR Residual Dynamics and Cloud-Based Machine Learning
Abstract: Accurate prediction of epidemic outbreaks is critical for effective public health management, resource planning, early warning generation, and timely intervention by municipal authorities. Traditional compartmental models such as Susceptible–Exposed–Infectious–Recovered (SEIR) offer valuable epidemiological insights and mathematical interpretability; however, they may not adequately capture the complex nonlinear relationships present in real-world urban health systems. Conversely, data-driven machine learning techniques can identify hidden patterns in large datasets but often lack epidemiological structure …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 12–19 Read article
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Chitosan polymer and composites Hydrogels: An Emerging Approach for Microplastic Elimination from Water
Abstract: Hydrogel is a polymer network which can retain huge volumes of water but still retains its shape because of its special chemical formula. Recently, hydrogels have become an object of great interest for environmental remediation due to the possibility of controlling their physicochemical properties in the case of removal of microplastics. The current work reviews and analyzes the efficiency of application of conventional coagulation systems based on chitosan and new …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Orthostride: An Internet of Medical Things-Enabled Smart Rehabilitation Footwear System for Real-Time Monitor
Abstract: The orthopedic rehabilitation goal of controlled weight bearing, a stable gait progression, and early recognition of hazardous situations for safe mobility is traditionally met through time, scheduled in-clinic observation and clinician induction, and patient report. In this work, Orthostride, a smart rehabilitation footwear prototype intended to augment postoperative and injury-related lower extremity restoration through continuous sensing, embedded decision logic, local feedback, and remote telemetry, is proposed. This system incorporates force …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article
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Cooling test's impact on photovoltaic solar panel systems
Abstract: Temperature changes have a massive effect on the performance of photovoltaic (PV) solar panels that are currently extensively used for the conversion of solar power into electrical energy. The output of solar systems is limited, especially in hot climates, as heating of the panel causes output voltage and efficiency to drop. The paper explores the effects of cooling on the quality and performance of photovoltaic (PV) solar panels. In this …
Published in International Journal of Electronics Automation · Vol. 4, Issue 2, 2026 Read article