Volume 12 | Issue 6 |

 Abstract

Neural network's function is an excellent instrument for analyzing, learning and predicting from the supplied data. It has proven successful in practical situations involving image recognition, speech recognition as well as natural language processing. This paper is all about a detailed analysis of AI neural network types, fields of application and their advantages and disadvantages. There is a discussion of recent developments in neural networks as well as their possible usage going forward. Based on the above analysis, ANN (Artificial Neural Network) models with feed-forward or backward propagation show prospective areas of research. It can be used for balancing such parameters as accuracy of data, speed in processing, time lag, fault-tolerance, volume, scalability, convergence and performance. In essence, neural networks are simply self-evolving learning mechanisms just like the human brain's highly dynamic learning mechanism which also adapts based on the data they receive. It can support many businesses which will develop into different industries. In the future, the use of neural networks will include solving even more complicated problems, like self-driving cars, disease diagnosis, or stock market exchange.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ANN, AI, image recognition, speech recognition, Deep learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Syndet is a mild cleaning solution that doesn't require soap and is ideal for regular use. It efficiently cleanses the skin of debris, oil, and pollutants without leaving any trace. The future of soap-free cleaning will be in solid shapes, such as bars and cubes, which are more convenient, eco-friendly, and have longer shelf lives. Find out more about Syncopal and how solid-format cleansers, shampoos, and conditioners may help your brand take over global marketplaces.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Washability Test, Foam Volume Test, Foam Stability Test, pH Level.

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Creative Commons Attribution 4.0 and The Open Definition

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Rabindranath Tagore's "The Home and the World" presents a sophisticated critique of the intersection between spirituality and modernity. Through the characters of Nikhil, Sandip, and Bimala, Tagore delves into the complexities of ethical idealism, aggressive nationalism, and personal transformation. The novel not only reflects the historical context of early 20th-century Bengal but also offers timeless insights into the challenges of integrating ethical and spiritual values with the demands of modern political and social life. Tagore's nuanced portrayal encourages readers to seek a balanced path that honours both tradition and progress.The aim of the paper is to find out the clashes and similarities between the subject of modernity and spirituality in between the male and female characters and their public and private lives .

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 Keywords

spirituality ,encompasses,pursuit ,compassion ,transcendent ,interaction ,altruism ,existential,transformation ,fragmentation ,alienation ,disillusionment ,ect.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Agriculture is considered a very important source in our country in dial and the whole world. If there is agriculture in the country, grains will grow, animals will survive. Population growth increased so much in the entire country. Agriculture has become in effective for farmers. In a view of population growth, food production has decreased. Current technique s such as deep learning, IOT and machine learning are used for agriculture. IOT is very new to agriculture and farming. IOT is used for raw material s. IOT collect data many areas. We have to face story coming from agriculture business. Smart irrigation system is used. Agriculture is important source of water. If water is irrigated, fruits will grow.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, Deep Learning, Crops, farming precision, Agriculture, Node MCU

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper details the design, development, and evaluation of an autonomous line-following robot using an Arduino Uno microcontroller. The robot navigates a predefined path marked by a line, employing infrared (IR) sensors for detection and a Proportional-Integral-Derivative (PID) control algorithm for motor control. The hardware setup includes an Arduino Uno, IR sensors, DC motors, and an L298N motor driver mounted on a compact chassis. The software, developed using the Arduino IDE, processes sensor data to compute the error between the desired path and the robot's actual position, which is minimised using a PID control algorithm. Extensive experiments on various track configurations demonstrated the robot's high precision and stability in following lines. The PID controller's dynamic motor speed adjustments allowed the robot to efficiently navigate complex paths, outperforming traditional threshold-based methods. This research highlights the robot's potential applications in automated guided vehicles (AGVs), industrial automation, and educational tools. The findings underscore the efficacy of PID control in enhancing line-following robot performance, providing a foundation for future advancements in this field.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Autonomous Navigation, Embedded System, Sensor Data Processing, Path Tracking.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There is a need to study and make a system which will make it easy for an end-user to predict the permanent diseases without visiting a physician or doctor for a diagnosis. To detect the various diseases through the examining symptoms of patient's using various methods of machine learning models. To manage text data and structured data is no proper method. The recommended system will examine both structure and unstructured data. The predictions accuracy will improve using machine learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diseases, Prediction, Machine learning, Decision tree, Random Forest, K-Nearest neighbor algorithm.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

due to the increase in population in India, Agriculture is considered an important source. Water is important for agriculture. To irrigate the fields, water the fields, water has to be used. Water is the life of all living beings. If crops are irrigated, plants will emerge and grains will grow. Today we are going to irrigate water through smart irrigation system. And to control the water, rely is used to switch on and off. Water is exacted from the ground by a motor pump connected to the relay. And it also helps in drawing water from wells, rivers, ponds tanks etc. A water controller is installed to pour water in equal quantity. Soil moisture is applied to check the moisture of soil. If the soil becomes wet, the crops will be irrigated and the crops will start growing. To design a hardware program, programming has to be done in software. When you run the machine, the system output will be displayed and will also be displayed in the display computer software. In this you can see amount of irrigation. With the help of cloud, farmers can know the weather. Crop health can be detected in the data. By collecting various sensor data, precision farming methods become accessible and effective.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Node MCU, soil moisture, CNN and DNN, farming, DHT11 humidity sensor, relay, Motor pump, Power Supply, Water Level, Ph Sensor, Temperature Sensor

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Even in the oldest texts of Sanskrit literature, the narrative method is seen to have been adopted. This method can be found in epics and Puranas.This paper attempts to provide a brief discussion of the Akhyana system in Puranic literature.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Akhyana, Upakhyana, Puranas,Pancalaksana.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

BACKGROUND: The aim of the study was to find out the effect of plyometric exercises on muscular endurance and kicking performance of football players. METHOD: 30 recreational football players were chosen for this study (aged 19-26 years old) and randomly assigned into control (N=15) and experiment group (N=15) for six weeks. The experiment group was engaged in supervised plyometric training programmed for 4 weeks for 3 days in a week on alternate days. Subjects in the control group were excluded from plyometric training. The experiment group subjects participated in two tests; 1) Bent Knee sits up test and; 2) McDonald Soccer test pre- and post-training. RESULTS: The collected data was analyzed using descriptive statistics and paired t-test as t-value is calculated as 3.2944 for Bent Knee Sit up Test and 7.8474 for McDonald Soccer Test, which is found significant at 0.05 level of confidence. A significant difference is observed in mean values among calculated and tabulated "t-value" of experimental group on Bent Knee Sit Up Test and McDonald Soccer Test of football players via administering the plyometric exercises for 4 weeks. CONCLUSION: The findings of the study conclude those four weeks of plyometric exercises effectively in increases muscular endurance and kicking performance in football players. Clinical implications: The current study suggests that plyometric exercise could be a potential tool in improving the muscle endurance and kicking performance in college football players. Additionally, sports-specific exercise will be beneficial for coaches and recreational athletes who are willing to improve muscle endurance, kicking performance and lower limb functional performance.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Plyometric exercises program-muscular endurance test-kicking performance-bent knee sit up test-McDonald soccer test.

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Creative Commons Attribution 4.0 and The Open Definition

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This project is focused on energy harvesting and energy storage through renewable sources. In many cases, vegetables may either get rotted or the market gets full due to imbalance in supply, price and demand. The waste vegetables and wild plants contain electrochemically active compounds, which can be used for preparation of rechargeable bio-battery cells. In this project, a set of battery cells was constructed by coupling the electroactive compounds of Onion-Radish, Onion-Bitter Orange, Onion-Cactus, Turnip-Radish, Turnip-bitter orange and Turnip-cactus. The fresh juices of these vegetable combinations were used and the reaction conditions were optimized to maximize the output voltage. The output voltage was measured before and after charging of cells for different charging times, juice volume and charging voltage. Among the investigated batteries, turnip-cactus single cell battery produced an open circuit voltage of 2.13 V while the onion-radish battery produced an open circuit voltage.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Bio-Battery, Waste Management, Electrical

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Creative Commons Attribution 4.0 and The Open Definition