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1169 articles for “fields”
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Comparative Impact of Yoga Practice on Lifestyle in Public and Private Sector Professionals
Abstract: Yoga has become completely embedded in our lifestyle. Without yoga, it has become very difficult to stay healthy. Along with sports, yoga is also very important for human life. It keeps us in shape, active, and intellectually and socially rejuvenated. They impart discipline and coordination skills to us. Our camaraderie and brotherhood are also fostered via yoga and sports. Furthermore, it is crucial for both the physical and mental growth …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 11–15 Read article
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Advancements in Phishing Detection: Automated Systems in Real-World Scenarios
Abstract: The goal of the abstract is to offer an automated method that uses login URLs to identify real-world scenarios. Phishing is a type of cyberattack that involves social engineering, when malefactors trick victims into providing their login credentials via a login form that sends the information to a hostile site. In this research, we offer a system that uses URL analysis to detect phishing websites by comparing machine learning and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 12–17 Read article
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Synthesis, Characterization and Evaluation of Pyridine derivatives
Abstract: Schiff bases, a class of organic compounds, have garnered significant attention due to their diverse applications in various fields such as pharmaceuticals, materials science, and coordination chemistry. This study provides a comprehensive overview of the synthesis of Schiff bases amino pyridine derivatives and aromatic ketones along with their anti-microbial activity. Method: The synthesis of Schiff bases primarily involves the condensation reaction between a primary amine and a carbonyl compound (ketone) …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 11, Issue 2, 2024 · pp. 35–48 Read article
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Exploring Practical Applications of Artificial Neural Networks: A Review
Abstract: Computational models called artificial neural networks (ANNs) are modeled after the structure of the human brain. These models are designed to process information and learn from data. Artificial neural networks, or ANNs, are composed of interconnected artificial neurons layered to resemble the brain's neural network.. Through training, ANNs adjust the connections between neurons based on labeled data, enabling them to recognize patterns and perform specific tasks. Despite their efficacy in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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A Systematic Review of Method Development and Validation for Ramipril Analysis Using Hplc in Cardiovascular Research
Abstract: The field of analytical chemistry encompasses a variety of methods that are crucial in determining the chemical composition of different substances. UV-visible spectroscopy and high-performance liquid chromatography (HPLC) are two widely utilized methods that are the subject of this article. UV-visible spectroscopy uses the Beer-Lambert law to quantify light absorption, which can provide information about the concentration of absorbing species. The method is based on how light and matter interact, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 37–44 Read article
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A Study On Improving The Performance Of Concrete Using Coconut Fibers
Abstract: The aim of this study is to explore the incorporation of coconut fiber into M30 grade concrete and assess its impact on the strength characteristics. A literature review of different fibers is conducted and highlighting the working parameters. This research focuses to explore the efficacy of employing coconut fibers as micro reinforcement in concrete. The investigated properties encompass the compressive strength of the coconut fibers reinforced concrete (CFRC) at different …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 26–36 Read article
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Marine Fleet And Container Transportation In Marine Terminals And Its Effect On Increasing Products
Abstract: The advancement of technology has made sea container terminals become complex infrastructures to manage, so this should be studied and investigated by analysts and transportation experts through improving the efficiency and performance of the container terminal. However, the large number and variety of logistical activities gathered together is a major obstacle to effective decision-making processes. In most cases, logistic processes in this field are considered as NP-hard problems. In addition, …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 2, 2024 · pp. 21–27 Read article
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Sign Language to Speech Translation and Emergency Alert System for Dumb persons using Ml and IOT
Abstract: This project proposes a novel approach for gesture recognition using key point extraction and neural networks. Our proposed system leverages key point extraction techniques to capture fine-grained spatial information from input gestures. These key points are then fed into a neural network model, allowing for automatic feature learning and robust gesture classification. The goal of this project is to integrate OpenCV's computer vision capabilities to build a flexible and effective …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 17–21 Read article
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Integration of Vertical Axis Wind Turbines into Urban Environments: Feasibility and Design Considerations
Abstract: Abstract This study aims to comprehensively investigate the performance of Savonius rotor wind turbines through a combination of numerical simulations and experimental testing. Initially, 3-dimensional CAD software Solidworks and ANSYS will be utilized to design detailed models of the turbines. Numerical meshes will then be generated around these models using FLUENT software, incorporating the k-ε turbulence model to simulate fluid flow fields. Parameters such as drag coefficient, lift coefficient, pressure …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 20–25 Read article
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Black Hole and Accretion Disks:Observational Discoveries and Theoretical Frameworks
Abstract: This review covers the essential elements of black hole accretion disk theory, beginning with the primary objective of understanding the complex nature of black holes. We delve into how key features of strong gravity, such as the event horizon, innermost stable circular orbit, and ergosphere, manifest in accretion disks. This review revisits the physical mechanisms driving accretion disks and presents four main models: thin disks, Shakura-Sunyaev disks, advection-dominated accretion flows …
Published in International Journal of Universe · Vol. 1, Issue 1, 2025 Read article
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Time Series Methods in Meteorology: A Review of Predictive Models and Applications
Abstract: The accurate prediction of time series data holds substantial significance in various fields, enabling informed decision-making and resource optimization. In this study, temperature variations over time are predicted using the Autoregressive Integrated Moving Average (ARIMA) model. Reliable temperature projections are more important now than ever because of climate change and its effects. For time series prediction problems, the ARIMA model—which is well-known for its ability to capture temporal dependencies in …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 35–46 Read article
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Lip Reading: Transforming Speech to Text
Abstract: Lip reading, the ability to interpret spoken language by observing lip movements, is a valuable skill that can aid in various applications, particularly in enhancing speech recognition systems. This project explores the implementation of a deep learning-based lip-reading model to improve the accuracy and robustness of speech recognition in challenging environments, such as noisy or audio-limited settings. The proposed lip-reading system leverages Convolutional Neural Networks (CNNs) and Recurrent Neural Networks …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 23–33 Read article
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The AI Revolution: Transforming Business Decision-Making
Abstract: Industries undergo a transformation thanks to artificial intelligence, which makes machines capable of activities that previously required human intelligence. This interdisciplinary field of computer science models human thought processes, impacting sectors from autonomous vehicles to creative AI tools. Integrating AI into business operations transforms decision-making and enhances corporate performance. AI-driven methodologies analyze vast datasets to provide valuable insights and facilitate decisions beyond human capability. Predictive modeling anticipates consumer behavior, market …
Published in Journal of Electronic Design Technology · Vol. 15, Issue 2, 2024 · pp. 25–32 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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Transforming Road Safety: A GPS Enhanced Car Accident Alert System for Rapid Emergency Response
Abstract: Road accidents continue to be a major global health concern, with consequences for both emergency response times and public safety. The “Transforming Road Safety: A GPS Enhanced Car Accident Alert System for Rapid Emergency Response” that this project suggests would help emergency services respond to car accidents more quickly and efficiently. In this review paper, we investigate a system that uses sensors and GPS to enhance road safety and accident …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 19–24 Read article
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Metabolites in Modern Medicine: Decoding the Future of Health and Diseases
Abstract: The end products of many metabolic processes in cells are called metabolites. Each reaction contributes a specific metabolite. Metabolites act as fingerprints of on-going biological processes. Constant changes in cellular composition due to both environmental and internal factors. By analysing the types and presence of metabolites, scientists can effectively reconstruct the inner workings of a cell or organism. In the past, analysing metabolites was a slow and tedious process, often …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 1–13 Read article
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Bacteriophage Therapy in Dairy Farming: A Potential Alternative to Antibiotics
Abstract: The widespread use of antibiotics in dairy farming to control bacterial infections has led to significant challenges, including the emergence of antibiotic-resistant bacteria and concerns over antibiotic residues in milk. Consequently, there is an increasing demand for alternative approaches to control bacterial infections in dairy cattle. One promising solution is bacteriophage therapy, which uses viruses that selectively infect and destroy bacteria. As a result, the need for new strategies to …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 1–5 Read article
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Assessment of Milk Quality Optimization of Yogurt Fermentation
Abstract: In the creation of new products, yogurt makers need to prioritize consumer preferences to enhance their market share. An advanced prediction method will help in grasping the fundamental connection between consumer preferences and sensory attributes. This study introduces a new deep learning approach that employs an autoencoder to derive product features from expert-scored sensory attributes. These sensory features are then analyzed through support vector machine regression to align them with …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 6–12 Read article
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Insect Hymnenopteran Parasitoids of Sugarcane Pest and Role As Biological Control Agents
Abstract: The present study is short communication of insect parasitoids belongs to order Hymenoptera. Sugarcane crop attract number of insect pests that flourish on it, and cause about 15- 20% yield loss and minimize the productivity, this reduction in yield increase when the insect parasitoids attack on pest. There are some major parasitoids Orders that attack on the number of crops pest, like Dipteran, Lepidopterans, Neuropteran etc. and one of the …
Published in International Journal of Insects · Vol. 1, Issue 1, 2024 · pp. 18–21 Read article
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Microwave Assisted Digestion For Cadmium Analysis in Yoghurt Samples Using Atomic Absorption Spectrophotometer
Abstract: This paper presents an innovative approach for the digestion of dairy products aimed at determining heavy metal concentrations using atomic absorption spectrophotometry. The present study was conducted to assess the concentration of cadmium in different Yoghurt samples. A total of 80 random samples of dairy products (20 each of sour Yoghurt, sweet Yoghurt, flavoured Yoghurt, and homemade Yoghurt) were collected from different areas of Kota city. For the analysis of …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 2, 2024 · pp. 24–39 Read article