Volume 10 | Issue 12 |

 Abstract

This paper presents the design and building of an intelligent traffic light control system. This is a comprehensive software prototype for a smart traffic system that has been demonstrated. Based on the volume of traffic on either side of the junction, the system regulates the traffic lights. Real-world hardware implementations may make advantage of infrared sensors and cameras. This research use image processing methods to count the number of vehicles before allocating timings based on a simple mathematical calculation for relative traffic density. The gaussian algorithm and the morphological algorithm approaches are the algorithms we employed in this research. By giving the cars on the busiest route greater space to pass than those on other, less busy roads, you may easily relieve traffic congestion. The system need to be capable of making daily priority decisions. In this method, the waiting time for drivers on roads with larger densities is essentially decreased. The photos for each lane are captured and analysed concurrently as a result, and a judgement is made about which lane should be given the most time and attention.

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Traffic Sign, Congestion, Gaussian Algorithm, Morphological Algorithm, Intelligent system, Camera.

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 Abstract

Purva bhartatil granthalay aani mahitishashtra vishyatil aacharya padvi prapt sodhprabhadacha aashay vishleshtamak abhyash

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Purva bhartatil granthalay aani mahitishashtra vishyatil aacharya padvi prapt sodhprabhadacha aashay vishleshtamak abhyash

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Primary Teachers' Examination: An Experiment of divisional commissioner of Maharshtra An analytical Study

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Teachers' Examination

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Among various types of cancer, Bone cancer is a leading cause of cancer-related death in many countries. The main goal of this model is to find out the malignant part i.e. by comparing two medical imaging techniques such as CT scan and X-Ray, detects the types of tumor in accurate manner. By using CNN classifier, the extracted images will be classified and stored. Based on these classification, the stages of sarcoma will be identified which is useful for the orthopedics surgeon to give suggestions over the treatment. The developed system result shows the improved rate of early detection of Sarcoma in Bone.

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cnn classifier used for detecting sarcoma in bone

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The on use diameters entire article (bars) and / or divide bamboo (a. K. An orthotic inserts are everywhere bits) was often envisioned as a substitute to costly systems that enable in reinforced concrete. It is a proven fact that the construction business is the major consumer of raw material and energy with most states. The pursuit of economic growth, classified in the Brundtland survey 1987 as "development that meets the needs of the present without compromising the ability of the future generations to meet their own needs", has become a major problem while looking to meet the challenges facing permanent housing for the ever-increasing population worldwide. An present experimental of bamboo character traits and bamboo as a concrete reinforcement analysis is carried out in every paper. The above studies have been focused to the formation of bamboo's components habits through the principle of interact.

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Bamboo; Concrete; Composites; Non-conventional fabrics

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John Milton through his most renowned controversial Epic titled "Paradise Lost", written in 1667 addresses the idea of free will and questions the existing hierarchy of absolute power and authority. Written during a time when people blindly followed the Church and the rules of the King and in fear paid heed to all the norms that existed in society which ultimately leads to nothing more than a peaceful death. The relevance of such historical revolutionary acts In today's post-modern world will be further discovered in this paper. The idea of having a choice and how it came into existence with several such revolutions coming into play will also be extensively talked about in this paper. The character of Lucifer and how he is not a pessimistic being, like how our ancestors told us after reading the scriptures will be analyzed thoroughly and the way Milton glorifies Satan to give us a new angle of interpretation will also be dwelt upon and further examined in this paper. Moreover, the futuristic thinking of Milton and how his Epic still holds a firm stand in today's contemporary world will further dwell in this paper. The necessity of such revolutionists in our lives will be given importance in this research.

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Free Will, Absolute Power, Choice, Revolutionists, Fear of Authority.

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One of the most serious illnesses nowadays is chronic kidney disease, for which a correct diagnosis must be made as soon as possible. Machine learning techniques are currently used in medicine. The clinician can identify the ailment early with the use of a machine learning system. In this paper , chronic kidney disease prediction has been covered. Disease prediction and detection is a vital and difficult subject since it aids in early disease diagnosis by assisting pathologists and medical professionals in their decision-making.In recent studies and research, "The Artificial Neural Network" provides a useful method to address a variety of everyday issues in life or in many different fields, such as the medical field, where it can be used to anticipate a specific disease based on some provided data. In this article, we use the ANN approach to describe a system for predicting chronic kidney disease.This neural network output lets us know whether a patient has chronic renal illness or not. Artificial neural networks produce outcomes that are more accurate than those of other machine learning algorithms in the aforementioned topic of kidney disease prediction after extensive investigation.

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Chronic Kidney Disease , Machine Learning , Artificial Neural Network

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Alcoholism, Classification, Health, India, Visualization, ML, Prediction

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Mental health includes humans emotional, psychological, and social well-being. It changes the way people perceive, believe, and continue to act. Understanding how individuals respond to stress, interact with others, and make decisions is also important. From childhood and adolescence to maturity, maintaining one's mental health is essential. Adults have a wide range of needs and coping ability for stressful situations. Many adolescents will either have accepted the restriction and school closings brought on by the epidemic scenario effectively. This research study aims to identify and evaluate recent studies on mental health. As an example, several students will return to the classroom having gone through a certain amount of stress, worry, loneliness, and sadness. Some people could have seen an increase in domestic violence. Teachers and staff at the school play an important part in helping students adjust to learning in the physical classroom afterwards, especially during long periods of time of school closure. According to official statistics provided by the World Health Organization (WHO), mental illness accounts for 90% of suicides in high-income economies. Additionally, recent research found that individuals with mental illnesses frequently disclose these conditions on social media as a form of consolation. Therefore, the primary goal of this work is to analyse the mental health of the students and teachers sequentially across time and identify those adolescents who may be at risk for depression as soon as possible. The state of a person's mental health is predicted by a machine learning algorithm, and the algorithm's effectiveness is assessed using common metrics like accuracy.

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 Keywords

Social Well-being, Mental health, Stress, Depression, Prediction model, Binary Classification, Healthcare.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Behaviour Prediction, Harassment, Harassment Research, KNN, Machine Learning, Naive Bayes, Prediction model, Prediction Evaluation.

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Creative Commons Attribution 4.0 and The Open Definition