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1960 articles for “Ma-ul-Shae’er” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Diabetic Risk Prediction Using Machine Learning
Abstract: The global prevalence of Type 2 diabetes has risen dramatically in recent years, posing a serious public health risk. Long-term risk prediction is an important technique for evaluating who is most likely to develop type 2 diabetes. Early detection and response can lead to better management and prevention of diabetes complications. Developing a user-friendly Windows program for long-term Type 2 diabetes risk prediction could revolutionize preventive healthcare due to technological …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 1, 2024 · pp. 11–17 Read article
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Gelatin-EiO2 (Ei = Si/Ti/Zr) Based Mesoporous Nano-hybrids: Synthesis and Characterization
Abstract: The hybrid materials are mostly prepared by combining the organic or bio-organic part to the inorganic building blocks and are used in many applications. Gelatin as one of the main component of hybrid materials is an attractive option. It is biodegradable; biocompatible; non-toxic; bio-adhesive and contains many active groups such as –NH2, –COOH, in the biopolymer backbone makes these hybrid materials important in various technological applications. The synthesis of a …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 3, 2024 · pp. 30–58 Read article
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Literature Review and Discussion of Machine Learning Algorithms for Predicting Chronic Kidney Disease
Abstract: Being one of the most serious and most occurring diseases in our era, chronic kidney disease requires a fast and correct diagnosis. The usage of machine learning in medicine has now grown to such a level that it could be a means of diagnosis. The doctor can be the first one to get the ailment by using machine learning classifier algorithms. This has been the data science sector’s new horizons, …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 34–39 Read article
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Experimental Study on the Wear Mechanisms of Cutting Tools in High-Performance Machining
Abstract: Because high-performance machining (HPM) may increase output and improve product quality, it is essential for modern production. The quick wear of cutting tools under high-stress circumstances, however, presents serious difficulties that affect surface smoothness, tool life, and cost-effectiveness. Through an analysis of the impacts of cutting speed, feed rate, tool material, and cooling techniques, this work explores the wear processes impacting cutting tools in HPM. Advanced spectroscopy and microscopy procedures …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Harnessing the Potential of Insectivorous Birds in Managing the Rice Leaf Folder, Cnaphalocrocis Medinalis in Paddy Ecosystems of Kerala
Abstract: This study evaluates the effectiveness of various treatments for managing leaf folder pests in rice crops during the maximum tillering stage, focusing on the role of insectivorous birds. The treatments included bird perches (T1), nylon nets (T2), Bt spray (T3), a combination of bird perch and Bt spray (T4), flubendiamide spray (T5), and a control group (T6). Results indicated significant differences in pest densities. T2 showed the highest mean density …
Published in International Journal of Insects · Vol. 1, Issue 2, 2024 · pp. 6–9 Read article
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Qualitative and Quantitative Effects of Non-Thermal Atmospheric Pressure Plasma and ErCr: YSGG Laser Activation on Surface Remineralization and Fluoride Release of Three Different Fluoride Varnishes
Abstract: Dental caries remains a prevalent oral health concern worldwide, prompting ongoing research into innovative approaches for caries prevention and management. This experimental investigation endeavors to conduct a comparative assessment of the bioactivity, fluoride release kinetics, shear bond strength, and compressive strength of glass ionomer cement (GIC) augmented with three distinct types of inorganic bioactive nanoparticles. Bioactive nanoparticles have garnered interest in dental materials for their potential to enhance material properties …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 292–303 Read article
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Geotechnical Analysis and Performance Evaluation of Subgrade Materials in Road Construction
Abstract: Geotechnical engineering plays a pivotal role in the design, construction, and long-term maintenance of infrastructure, particularly in road construction, where subgrade conditions are directly linked to pavement performance, durability, and overall structural integrity. The performance of a road is heavily influenced by the geotechnical properties of the subgrade, making it essential to thoroughly assess these properties in the planning and construction phases. This study comprehensively investigates the geotechnical characteristics and …
Published in Journal of Geotechnical Engineering · Vol. 11, Issue 3, 2024 · pp. 24–29 Read article
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Evaluation of Emergency Response Plans in Industrial Environments Using Simulation Techniques
Abstract: Industrial facilities, particularly those in the chemical, manufacturing, and energy sectors, face significant hazards due to their complex operations and the handling of hazardous materials. Ensuring the safety of workers and minimizing the impact of incidents require robust and effective emergency response plans (ERPs). Traditional evaluation methods, such as drills and tabletop exercises, often fall short in replicating the complexities of real-world emergencies. These methods may lack the realism needed …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 3, 2024 · pp. 6–10 Read article
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AI Enhanced E-Voting System Securing Elections with Face Recognition and OTP Authentication in India
Abstract: The E-Voting domain seeks to leverage technology to address these issues, enabling citizens to vote securely and conveniently while maintaining the transparency of the electoral process. Machine learning algorithms like Haar cascade and CNN will enhance the system's security, accuracy, and efficiency by leveraging data- driven approaches. Conventional voting techniques frequently encounter obstacles including identity theft, convoluted processes, and hold-ups in the processing of results. This article suggests a complex …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 21–30 Read article
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Utilization of Recycled Glass and Steel in Sustainable Construction Material – A Review
Abstract: The construction industry relies heavily on large quantities of natural aggregates and cement to facilitate the completion of new projects and the maintenance of existing buildings and infrastructure. The construction sector is experiencing a shift towards sustainability, motivated by the imperative to reduce environmental harm and preserve resources. As part of this shift, the use of recycled materials has gained prominence, offering opportunities to reduce waste and promote circular economy …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 3, 2024 Read article
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Fabrication and Experimental Investigation on Mechanical Properties of Quartz Particulate Reinforced Aluminium Composite
Abstract: Composites are processed by adding a reinforcement phase in a base metal. The base material is known as a matrix and the constituent that is added is called reinforcement. The matrix acts as a support while the reinforcements attach themselves in their respective positions which results in the synthesis of a material which has different mechanical and thermal properties compared to their raw materials. Since aluminium is used as a …
Published in Journal of Production Research & Management · Vol. 14, Issue 3, 2024 Read article
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Effect of Polymer Fiber on Concrete Made with Artificial Fine Aggregate from Demolished Buildings
Abstract: This research describes an experimental investigation that assesses the impact of polymer fiber and artificial fine aggregate on concrete properties. Polymer fiber, on the other hand, has the potential to function as a superplasticizer additive, which might lead to concrete's superior elasticity, higher strength, and reduced rate of water absorption. Thus, an experimental inquiry was conducted to ascertain the ideal admixture dose and investigate the consequences of admixture overdosage. Also, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 286–296 Read article
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Evaluation of Impact Strength and Hardness for Polymer Matrix Composites with Steel, Carbon and Glass Reinforcements for Automotive Applications
Abstract: Polymer matrix composites (PMCs) play a crucial role in a wide range of engineering submissions, owing to their impressive strength-to-weight ratio and customizable mechanical properties. This research focuses on examining how PMCs, enhanced with different materials, specifically carbon fibres, glass fibres, and steel fibres, behave when subjected to dynamic and static loading conditions. The study involves creating three distinct types of PMC specimens, each reinforced with one of the mentioned …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 738–748 Read article
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An assessment of the mechanical properties of a composite material composed of natural fibres and reinforced with polymer
Abstract: Composites are essential in contemporary engineering and production, providing a flexible and effective solution for various applications that demand lightweight materials with exceptional performance. Natural composites provide adaptable and eco-friendly solutions for various sectors and applications, promoting environmental sustainability and the preservation of resources. Further advancements in research and development in this discipline are anticipated to enhance the utilization of natural composites across several industries. For this investigation, two types …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 778–786 Read article
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A Hybrid Machine Learning Approach for Cardiovascular Disease Prediction
Abstract: Heart disease ranks among the top causes of death globally. Accurately predicting cardiovascular conditions has become a key challenge in the realm of clinical data analysis. It has been shown that machine learning is an effective means of assisting with predicting and decision-making based on the large volume of data produced by the medical industry. In this study, we describe a unique approach that increases the prediction accuracy of heart-related …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 69–75 Read article
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Diversity and Abundance of Fish Species in Lower River Benue, Makurdi, Nigeria
Abstract: This study evaluated the diversity and abundance of fish species in Lower River Benue, Makurdi, Nigeria, for a duration of 3 months. Fish samples were collected from fishermen at immediately after landing using assorted fish gears. A total of 1, 106 fish specimens, representing 16 families and 35 species, were identified and examined. The dominant families from the sample were Cichlidae (24%) and Schilbeidae (20%) while the families Distochontidae, Latidae, …
Published in Research & Reviews : Journal of Ecology · Vol. 14, Issue 1, 2025 · pp. 18–25 Read article
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A Survey of Several Machine Learning (ML) Algorithms for Security Solution in Internet of Things (IoT) Networks
Abstract: The Internet of Things (IoT) refers to the integration of physical objects with the Internet, allowing for connectivity and monitoring. This idea has garnered immense attention from researchers and users alike, driven by the widespread accessibility of the Internet. It spans a wide range of devices, including smart versions of conventional appliances, innovative tools tailored for Internet-enabled ecosystems, and sensors that leverage connectivity to revolutionize industries such as manufacturing, healthcare, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 1–11 Read article
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Talk o matic (A prompt chatbot)
Abstract: This study represents the investigation, evolution and implementation of a prompt-based chat-bot that is developed by using Gaianet.ai and the Llama API that give the answer until we say exit. The main goal of this research work is to create and develop a conversational agent capability of answering a suitable and humane base array of user questions with accuracy and material list. In an era, where automated communication are becoming …
Published in Journal of Open Source Developments · Vol. 12, Issue 1, 2025 · pp. 1–15 Read article
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Ecological Impacts of Intensively Managed Dairy Farms: Environmental Challenges to Sustainable Dairy Development
Abstract: Intensively managed dairy farming systems, designed to maximize production efficiency, have raised significant concerns regarding their long-term ecological impacts. This study explores the environmental consequences of such systems, focusing on soil degradation, water resource depletion, biodiversity loss, greenhouse gas emissions, and ecosystem imbalance. While intensive dairy farming contributes to high yields, it also accelerates environmental degradation through practices such as excessive fertilizer and water use, monoculture feeding, and inadequate waste …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 14, Issue 1, 2025 · pp. 42–62 Read article