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102 articles for “ML”
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 33–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Advances and Emerging Trends in Classical and Modern Thermodynamics.
Abstract: Thermodynamics, as a foundational discipline of physical science, has continually evolved from its classical roots to modern, interdisciplinary applications. Classical thermodynamics established the laws governing energy, entropy, and equilibrium, providing the framework for analyzing heat engines, refrigeration cycles, and chemical processes. Recent advances have expanded these principles into new domains, integrating statistical mechanics, quantum theory, and non‑equilibrium systems. Emerging trends highlight the role of thermodynamics in nanoscale and quantum technologies, …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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Topical Application of Grape Seed Oil and Linalool, and Treating the Mulberry Leaves with Aqueous Solution of Drakshsava Before Feeding the Fifth Instars of Silkworm, Bombyx mori (L), for Qualitative Silk Cocoons.
Abstract: Nutrition quality and health of larval-instars exert influence on silk-yield-quality. Ten microliters of Acetone- solutions of Grape-Seed-Oil (10 ml Grape-Seed-Oil dissolved in 90 ml acetone) and acetone solutions of Linalool (100 ppm) were used separately in present attempt for the topical application to the fifth instar larval stages of silkworm, Bombyx mori (L). Group of larvae fed Mulberry-leaves treated with aqueous solution Drakshasav; group of larvae topically applied with acetone …
Published in International Journal of Analytical and Applied Chemistry · Vol. 11, Issue 2, 2025 · pp. 30–40 Read article
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Assessment of Uncertainty on Estimation of Peak Flood Discharge Using LN2 Distribution for River Tapi at Sarangkheda
Abstract: Estimation of peak flood discharge (PFD) for a given return period is required for the design of culverts, dams, spillways, bridges, flood protection and soil conservation work, etc. The dimension and capacity of the hydraulic structures will also depend on design flood magnitude that may have some uncertainty due to model error. This paper presented a study assessment of uncertainty on estimation of PFD using LN2 distribution for river Tapi …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Effect of Different Growing Media, Azotobacter, and GA3 on Growth and Survivability of Transplanted Air Layers in Guava (Psidium guajava L.) C.V. Gwalior-27
Abstract: The present investigation entitled “Effect of different growing media, Azotobacter and GA3 on growth and survivability of transplanted air layers in Guava (Psidium guajava L.) C.V. Gwalior-27” was conducted at Experimental block, College of Agriculture, Rajmata Vijayaraje Scindia Krishi Vishwa Vidyalaya, Gwalior, Madhya Pradesh during the year 2020–2021. The experiment was laid out incompletely randomized design (CRD) with three replications. Among different treatments soil + vermicompost (2:1) + GA3 200 …
Published in International Journal of Agrochemistry · Vol. 8, Issue 1, 2022 · pp. 13–22 Read article
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Optimal Structure Topology for 11-Level Multilevel Inverter
Abstract: Unlike inverter, multilevel inverter (MLI) is an inverter which works on high power or voltage. It provides a staircase waveform with lower total harmonic distortion. Working on high-power, high-voltage application, they have become more popular. There are some drawbacks also in MLI that it requires a large number of power devices and composite controllability. This paper presents a noble MLI topology using two types of switches, bidirectional and unidirectional. Bidirectional …
Published in International Journal of Digital Communication and Analog Signals · Vol. 4, Issue 1, 2018 · pp. 24–32 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Harmonic Elimination in PV System Using SPWM-BasedSeven-Level Cascaded H-Bridge Multilevel Inverter
Abstract: The modern transform toward renewable energy sources has raised the use of Photovoltaic array andMultilevel Inverters (MLIs) in the current power systems. These technologies are not only able to relievethe problems related to the shortage of fossil fuels but also help to curb global warming and pollutionof the environment. A 7-level MLI, which is controlled by Sinuoidal Pulse Width Modulation (SPWM)is explored as a method of PV integration in this …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 23–38 Read article
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Use of Natural Language Processing for Hate Speech Detection on SocialMedia:
Abstract: The exponential growth of social media platforms has led to an increase in user- generated content, enhancing global connectivity but also facilitating the spread of harmful language, including hate speech. Addressing this issue requires robust, Naïve Bayes, Decision Tree, K-Nearest Neighbours (KNN), Linear Regression, and Random Forest—were tested, with Linear Regression achieving the highest accuracy automated systems for detecting and mitigating offensive content. This paper presents a comprehensive analysis of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 9–16 Read article
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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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DIRECT DETERMINATION OF AMOXICILLIN SODIUM IN ITS PURE AND DOSAGE FORMS USING ATOMIC ABSORPTION SPECTROMETRY BASED ON ITS SODIUM CONTENT.
Abstract: Atomic absorbtion spectrometic method has been developed and validated for direct determination of amoxicillin sodium in its pure and pharmaceutical dosage forms based on its sodium content at λ 589 nm. The developed method was found to be time and cost saving and has no tedious or complex procedures. The developed method is very sensetive regarding LOD (0.025 ppm of sodium equivalent to 0.423 μg mL-1), LOQ (0.076 ppm of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 4, Issue 1, 2018 · pp. 36–41 Read article
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Optimization of the Process Parameters Exceeding Extraction and Characterization of Gin Flavor from Juniper Berries
Abstract: The objective of this paper work was focused on extraction, optimization and characterization of the essential oil from the berries of juniper to Gin flavor. A Juniper Berries of community family was the raw material of the investigational research which was collected from Chilimo forest 70 Km North West (NW) of Addis Ababa. First, the juniper berries was dried through sun drying. Then, the dried juniper berries were crushed in …
Published in International Journal of Chemical Separation Technology · Vol. 5, Issue 1, 2019 · pp. 5–20 Read article
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COMPLICATIONS IN THE DESIGN AND FABRICATION OF TI6AL4V MICRO- LATTICE STRUCTURES FOR ADDITIVE MANUFACTURING
Abstract: This research paper investigates several obstacles and concerns related to metal additive manufacturing (AM) components to improve the quality of the parts by recommending and implementing appropriate corrective measures. Titanium alloy cellular structures are in high demand for many uses, such as lightweight medical devices, aeroplanes, vehicles, and heat exchangers. This study investigates the manufacturability and performance of Ti6Al4V micro-lattice structures (MLSs) fabricated by Direct Metal Laser Sintering (DMLS). By …
Published in International journal of Nanobiotechnology · Vol. 8, Issue 2, 2022 · pp. 21–30 Read article
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Assess the Knowledge and Practices Regarding Latching Process among the Nursing Intern Studying in College of Nursing, Loni (BK)
Abstract: Background: Breast is best for baby. Under any circumstances, breast milk is the ideal food for the infant. No other food is required for the baby until 4–5 months after birth under normal conditions. Indian mothers secrete 450–600 ml milk daily with 1.1 g protein per 100 ml. The energy value of human milk is 70 Kcal per 100 ml. As mother s milk is the complete food of the …
Published in International Journal of Pediatric Nursing · Vol. 6, Issue 1, 2020 · pp. 29–33 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article