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1953 articles for “NBR/CR blends” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Crop Health Monitoring and Weed Detection Using Drone Technology
Abstract: In an agriculture-based economy like ours, farmers and their cultivation play a significant role. With the extension of agriculture to wider fields, manual interference to monitor and detect crop health is becoming more difficult. Unmanned aerial vehicles (UAVs) have become well-known and affordable technology for a variety of precision farm uses in recent years. Combining the capabilities of drone technology and machine learning/deep learning algorithms, we can monitor crop health …
Published in Journal of Computer Technology & Applications · Vol. 14, Issue 1, 2023 · pp. 1–8 Read article
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Synthesis and Characterizations of GeS0.5Se0.5 (I2) Single Crystals
Abstract: Material processing of layered structure remains a widely investigated subject in recent time due to their anisotropic properties. The large volume of work carried out in this field is of importance not only in basic science but also in industrial as well as energy applications. In this paper authors report growth of GeS0.5Se0.5 (I2) single crystals using Chemical Vapour Transport (CVT) technique with iodine as a transporting agent. Photograph of …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 7, Issue 1, 2019 · pp. 10–16 Read article
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Real-time Criminal Detection Using Face Recognition
Abstract: The objective of this project is to create a criminal face detection system that utilizes machine learning algorithms like TensorFlow and Scikit-learn, implemented in the Python programming language. To handle image processing, OpenCV will be utilized, while SQL will manage the current criminal database. The high-resolution pictures in the database will be split into various components and utilized for training the model, which can identify specific features to recognize the …
Published in Journal Of Network security · Vol. 11, Issue 1, 2023 · pp. 1–7 Read article
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Formulation and Evaluation of Unani Anti-acne Cream
Abstract: In unani system of medicine (USM) many herbal drugs have been mentioned to be useful in the treatment of various skin diseases, which are considered safe and free from major side effects. Most of the formulations for topical application are in powder form and patients feel inconvenience in using traditional dosage forms in comparison to modern dosage forms. Therefore in the present study a formula (in powder form) for acne …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 5, Issue 3, 2016 · pp. 17–22 Read article
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Inhibition of Ehrlich Ascites Carcinoma by Crotalaria verrucosa L. Leaf in Swiss Albino Mice
Abstract: Objective: The objective of the present study was to evaluate the antitumor activity of Crotalaria verrucosa L. leaf against Ehrlich ascites carcinoma (EAC) in Swiss albino mice. Methods: The in vivo antitumour activity of the ethanol extract of leaf of C. verrucosa L. (ELCV) was evaluated at 50, 100 and 200 mg/kg bw against EAC, using mean survival time. After administration of the extract of C. verrucosa, viable EAC cell …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 5, Issue 2, 2018 · pp. 5–10 Read article
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Cryptosporidium parvum Mediated Diarrhea in Immunocompromised Patients
Abstract: Cryptosporidium parvum is one of the important diarrheal agents, especially in malnourished children and immunocompromised patients. Of the many species, Cryptosporidium parvum and Cryptosporidium hominis are the two major species that cause water borne outbreaks. The geographic difference in the distribution of parasite has been attributed to sources and its mode of transmission. The parasite is able to survive in the environment for long time and is resistant to many …
Published in Research and Reviews : A Journal of Immunology · Vol. 6, Issue 3, 2016 · pp. 5–9 Read article
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Severe Myoclonic Epilepsy with Crouch Gait in a 10-year-old Male Child: Single Case Report Study
Abstract: The aim of the present study was to characterize changes in gait dysfunction by patients with severe myoclonic epilepsy (SME). Case description with a 10-year-old male child presented with crouch gait, with signs of pyramidal tract involvement, ataxia, and seizures for 10 years duration. The child, born to non-consanguineously married parents presented with seizures. Birth history was normal; based on the history and examination, a clinical diagnosis of epileptic syndrome …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 2, 2018 · pp. 1–5 Read article
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Eve Fresh Cream: A Drug of Siddha System
Abstract: Eve fresh cream is a proprietary Siddha medicine of the company. The cream is composed of two important herbs that are well documented in the Siddha system of medicine viz., Curcuma zedoaria (Kasturi manjal) and Aloe vera (Kumari). The present study was taken up to revalidate the drug value and the clinical efficacy of Eve fresh cream. We have conducted a survey among AYUSH practitioners who prescribe the drug Eve …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 4, Issue 1, 2017 · pp. 4–6 Read article
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Methods Based on Machine Learning for Large-scale Classification of Crop Leaf Diseases
Abstract: Worldwide productivity of crops is seriously threatened by crop leaf diseases, which can result in large crop losses and negative economic effects. Effective disease management and crop protection depend on the early and precise detection and classification of these illnesses. Machine learning approaches have gained popularity recently due to their ability to automate procedures related to illness diagnosis and classification. An overview of the several machine learning–based methods used for …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 1, 2024 · pp. 11–23 Read article
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Evaluation of Credit Risk of Bank Customers with a Hybrid Approach of Data Mining Techniques
Abstract: Credit risk poses the most significant threat to financial and monetary institutions. Banks strive to offer loans that generate high returns while minimizing risk. Achieving this requires the ability to accurately identify and classify credit customers, both individuals and legal entities, according to their likelihood of fully meeting their obligations. This classification is done using relevant financial and non-financial criteria. The primary goal of this study is to assess the …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 63–81 Read article
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Transforming Agricultural Waste into Opportunities: Crop Residues for Sustainable Livestock Feeding and Productivity
Abstract: As global agricultural systems strive to meet the growing demand for livestock products while minimizing environmental impact, the sustainable utilization of crop residues has emerged as a key strategy for improving feed resource availability. In Bangladesh and many other developing regions, vast quantities of crop residues are produced annually, yet their potential as a valuable feed resource remains underutilized. This review evaluates the role of crop residues in livestock feeding, …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 3, 2024 · pp. 12–21 Read article
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Optimization of Polymer-Enhanced Sustainable Concrete: A Composite Approach with Bentonite and Crumb Rubber Aggregates
Abstract: The disposal of rubber tyres has become challenging; on the other hand, the utilization of rubber tyres is also increasing daily in society. The successful use of crumb rubber as an alternative aggregate and bentonite as a partial cement replacement in concrete composites has been well established through prior research. These materials have individually demonstrated their potential to enhance sustainability, improve concrete properties, and reduce environmental impact, paving the way …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 701–715 Read article
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Non-Lethal Protection of Farmlands Against Wild Animals and Crop Estimation
Abstract: This paper is an integrated smart system that aims to enhance productivity related to agriculture along with agricultural safety through modern technology. Crop estimation system uses IoT sensors and machine learning algorithms for the analysis of real-time environmental data in terms of soil moisture, temperature, pH levels, and humidity. This data will further be used to provide the optimal crop for cultivation and appropriate fertilizer requirements for prediction of requirements. …
Published in Journal of VLSI Design Tools and Technology · Vol. 15, Issue 1, 2025 · pp. 18–24 Read article
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A Polymer-Based Recommender System for Precision Agriculture: Enhancing Crop Yield Analysis Using IoT Technology
Abstract: This study introduces an innovative recommender system that employs polymer-based sensors combined with advanced data analytics to deliver personalized recommendations for crop management optimization. The use of polymer-based materials in sensor design allows for the creation of durable, cost-effective, and efficient sensors, well-suited for the challenging conditions typical in agricultural environments. These sensors are designed to withstand variations in numerous factors like temperature of the surrounding, humidity level, and at …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–95 Read article
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Evaluation of the Emission and Engine Operability of Biodiesel and Biodiesel Blends Produced from Alkali-Catalyzed Esterification and Transesterification of Jatropha Oil Feedstock
Abstract: This study reports on the engine performance analysis of biodiesel and blends produced from jatropha-based bio-oil feedstock via combined esterification and transesterification process, the physiochemical of the bio-oil, and subsequent biodiesel produced. Jatropha bio-oil was characterized to determine its fuel properties. A liquid phase transesterification reaction at 60 min reaction time, 50°C temperature, using a methanol-oil molar ratio of 40:1 and 0.35 g of sodium hydroxide (NaOH) catalyst was carried …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 9–21 Read article
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Thermal Analysis of Kirloskar VCR Engines Using Blended Biodiesels under Varying Loads
Abstract: The increasing demand for sustainable energy has prompted much research into environment-friendly substitutes for traditional fossil fuels. In this study, the thermal performance and emission characteristics of Kirloskar Variable Compression Ratio (VCR) diesel engines evaluated with varying load conditions using biodiesel-sourced oil blended with soybean oil are discussed. B0 (pure diesel) to B100 (pure biodiesel) blends were considered for the study to assess their effects on parameters, like brake thermal …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 19–34 Read article
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Machine Learning Approach to Predict the Performability and Emissions of Diesel Engine Fueled with Doped Biodiesel Blend
Abstract: Enhancing the performability and emission characteristics of diesel engines has been a difficult task in light of growing concerns about global warming and other negative effects, as diesel accounts for 70% of global energy demand. In this study, engine performance and exhaust emissions for various fuel blends were thoroughly evaluated using machine learning techniques to predict engine emission and performance behavior. We focused on biodiesel blend and nanoparticle additive concentration …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 3, Issue 1, 2025 · pp. 1–12 Read article
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Smart Crop Recommendation Using IoT Sensor for Precision Agriculture
Abstract: This study addresses precision agriculture, which leverages modern technologies to enhance farming efficiency and sustainability. This study proposes a Smart Crop Recommendation System using IoT sensors to optimize crop selection based on real-time environmental conditions. The system integrates multiple sensors, including a temperature sensor, flame sensor, soil sensor, moisture sensor, and LDR sensor, to monitor crucial parameters such as temperature, soil moisture, light intensity, and fire hazards. An Arduino microcontroller …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 3, 2025 · pp. 29–41 Read article
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A Comprehensive Study of Quantum Cryptography
Abstract: Quantum cryptography has emerged as one of the most promising fields in modern information security, offering innovative solutions that have the potential to transform the future of global cyber-defense. Unlike classical cryptographic systems, which depend primarily on the computational difficulty of solving complex mathematical problems, quantum cryptography is grounded in the fundamental and unbreakable laws of quantum mechanics. Core principles such as superposition, entanglement, and the uncertainty principle form the …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 12–26 Read article
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Growth, Structural and Optical characteristics of Citric Acid Doped Copper Sulphate Single Crystals Polymer Composites Photonic Applications
Abstract: The organic material Citric Acid doped Copper Sulphate single crystals (CACS) was synthesized and single crystal was grown by slow evaporation method. The incorporation of citric acid, an organic compound, introduces polymer-like functional behavior into the crystal matrix, forming an organic-inorganic hybrid composite with enhanced optical and structural characteristics. Single crystal XRD confirmed the triclinic system with unit cell parameters: a = 5.96 Å, b = 6.11 Å, c = …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 482–488 Read article