Volume 11 | Issue 4 |

 Abstract

Machine Literacy is a branch of artificial intelligence that employs a variety of statistical, probabilistic, and optimization ways that allow computers to "learn" from one exemplification and to descry hard- to- discern patterns from large, noisy, or complex data sets. Machine literacy offers a top approach for developing sophisticated, automatic, and objective algorithms for the analysis of high-dimensional and multimodal biomedical data. Machine literacy plays an important part in medical systems. before identification of conditions, we can be helped to descry them before and more directly, which can save numerous people as well as reduce the pressure on the system. Lung The early identification and vaticination of lung cancer have become a necessity in the exploration, as they can grease the posterior clinical operation of cases. Machine Learning grounded decision support systems donate the croakers. Machine Learning and Deep Learning are used to reuse data as well as produce models for diagnosing cases. Combining the processing of patient information with data from casket X- rays, using CNN with the well- known-trained model, Caps Net network for data this form are the styles used for this design to identify lung conditions originally and dissect the data set, also apply Machine literacy and Deep literacy to prognosticate whether the case has lung complaint or not. The project is a double bracket with input being the case's data (age, gender, casket X-ray images & view position) and the affair is set up what the complaint is or not. The paper aims to describe and diagnose lung cancer as beforehand as possible with help of algorithms like SVM and CNN which will help the croaker.

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 Keywords

SVM algorithm, CNN algorithm, Deep Learning, Machine Learning

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Banks are making major part of profits through loans. Loan approval is a very important process for banking organizations. It is very difficult to predict the possibility of payment of loan by the customers because there is an increasing rate of loan defaults, and the banking authorities are finding it more difficult to correctly access loan requests and tackle the risks of people defaulting on loans.The applications of this project are: There will be a shorter loan sanctioning period. The entire procedure will be automated, preventing human error. A loan will be approved for a qualified applicant right away. Employees of the bank personally verify the applicant's information before awarding loans to those who qualify. It takes a long time to review every applicant's information. We created automatic loan prediction using machine learning approaches to solve the issue. With previously collected data, we will train the machine. So that the machine may examine and comprehend the process. Then the system will look for a qualified applicant and inform us of the results. In this project, two algorithms are used such as Random Forest algorithm, Logistic Regression algorithm to predict the loan approval of customers. These two algorithms are going to be used on the same dataset and going to find the algorithm with maximum accuracy to deploy the model.

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 Keywords

LoanEligibility,Prediction,Logistcregression,Maximum accuracy.

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 Abstract

Soil salinity is a major constraint to agriculture. To improve salinity tolerance of crops, various traits can be incorporated, including ion exclusion, osmotic tolerance and tissue tolerance. We review the roles of a range of genes involved in salt toleran cetraits. Different tissues and cells are adapted for specific and often diverse function, so it is important to express the genes inspecific cell-types and to pyramid a range of traits. Modern biotechnology (marker-assisted selection or genetic engineering) needs to be increasingly used to introduce the correct combination of genes into elite crop cultivars. Importantly, the effects of introduced genes need to be evaluated in the field to determine their effect on salinity tolerance and yield improvement. Soil salinity reduces crop yield. The extent and severity of salt-affected agricultural land is predicted to worsen as a result of inadequate drainage of irrigated land, rising water tables and global warming. The growth and yield of most plant species are adversely affected by soil salinity, but varied adaptations can allow some crop cultivars to continue to grow and produce a harvestable yield under moderate soil salinity. Significant costs are associated with saline soils: the economic costs to the farming community and the energy costs of plant adaptations. We briefly consider mechanisms of adaptation and highlight recent research examples through a lens of their applicability to improving the energy efficiency of crops under saline field conditions.

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 Keywords

Salinity, KSE-100 index, Photosynthesis, Salt tolerance, Reactive oxygen species (ROS), Davidson and MacKinnon, Posterior Odds Ratio

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The fake news on social media and various other media is wide spreading and is a matter of serious concern due to its ability to cause a lot of social and national damage with destructive impacts. A lot of research is already focused on detecting it. This paper makes and analysis of the research related to fake news detection and explores the traditional machine learning models to choose the best, in order to create a model of a product with supervised machine learning algorithm, that can classify fake news as true or false, by using tools like python is scikit-learn, NLP for textual analysis. This process will result in feature extraction and vectorization; we propose using python scikit-learn library to perform tokenization and feature extraction of text data, because this library contains useful tools like Count Vectorizer and Tiff Vectorizer. Then, we will perform feature selection methods, to experiment and choose the best fit features to obtain the highest precision, according to confusion matrix result.

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 Keywords

Fake News, social media, Machine learning, Python, SVM, Naive Bayes, Algorithms, Detection

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Creative Commons Attribution 4.0 and The Open Definition

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This study outlines the identification and categorization of traffic signs using a deep learning system. The Traffic Sign Recognition by 'YOLO v3' method is used to identify and detect traffic signs. For a human to be as safe as possible in a driverless automobile, the architecture needs to be strong and error-free. Thus, it is crucial for any automated system to have the ability to accurately recognise traffic signs. We have presented a reliable method to identify and categorise traffic signs for self driving autonomous cars in order to address this issue. The Canny edge detector is used to construct shape based boundaries around traffic signs and identify the borders of localised traffic laws. The state-of-the-art detection technique employed in this instance is YOLOv3, which is used for real-time object detection. The classifier design is created using Convolutional Neural Networks (CNN) , and 86,989 photos with a size of 32x32 and three colour channels each were used to train the network.

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Convolutional Neural Networks, YOLO v3, traffic signs.

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The world of business-to-business (B2B) sales is constantly evolving, with new technologies, techniques, and strategies emerging all the time. As companies seek to stay competitive in an ever-changing market, understanding the most effective approaches to B2B sales is critical to success. This research paper aims to explore the latest trends and best practices in B2B sales, drawing on a range of industry experts and case studies. By examining the most successful sales techniques, we hope to provide valuable insights and actionable recommendations for businesses looking to optimize their sales processes and drive revenue growth. Key topics covered in this paper will include lead generation, account-based marketing, relationship-building, negotiation tactics, and the role of technology in B2B sales. We will also explore the impact of global events such as the COVID-19 pandemic on B2B sales, and the ways in which companies can adapt to changing market conditions. Ultimately, this research paper will offer a comprehensive overview of the current state of B2B sales, and provide practical guidance for businesses seeking to maximize their sales potential.

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B2B sales are a complex and dynamic process that requires careful planning, execution, and management. This research paper explores the strategies and best practices for successful B2B sales, including understanding the customer's needs, building relationships, leveraging technology, and developing a customer-centric approach. The research paper also highlights the challenges faced by B2B sales teams and provides recommendations to overcome them.

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6% to 8% of pregnancies are complicated by hypertensive pregnancy disorders, which also significantly increase mother and foetal morbidity and mortality. Obstetricians continue to struggle with the unresolved and preventable issue of hypertensive disorders during pregnancy. In addition to the usual risks for cardiovascular disease, affected women have an elevated risk of developing the condition later in life. This review focuses on antihypertensive therapy as a specific therapeutic tactic for pregnant women with hypertension problems.

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Morbidity, Mortality, Foetal risk, edoema, Blood pressure

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The Research on design and development of infant carry bed has been carried out by using aloe Vera fabric which is dyed using pomegranate peel. The carry bed for the little one is becoming in more demand as the parents are conscious about their baby's health and safety. Infant carry bed is invented by the Europeans that is been followed for decades which was later mass produced and sold all over world. In Canada, Ashley was the first maker to start producing nests in 2013. She was the one who modified the baby nest with chevron quilted resting space for the baby's safety. The fabric in current carry bed brings lot of skin allergies to baby's skin as fabric used is hard and also most of the fabric are not breathable material. Aloe Vera fabric has an incorporated with aloe Vera gel which is good for skin and also it repels outside moisture and cold as it has large number of pores. This fabric makes the baby feel warm when it is cold outside and cold when its hot outside. The fabric is dyed with Pomegranate peel as it contains lot of flavonoids, antioxidants and phenolic acid which boost the cell regulation. The carry bed was constructed by using wadding material and suitable accessories which is light weighted, comfortable during travelling.

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Sustainable, Aloe Vera fabric, Natural dye, Pomegranate peel dye, Baby carry bed

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Creative Commons Attribution 4.0 and The Open Definition

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Modern fingerprint techniques offer several advantages in crime investigation, including high accuracy, speed, efficiency, and the ability to analyze complex patterns and images. This article explores the science of fingerprints and their role in crime scene investigation. It aims to improve the reliability and effectiveness of automatic fingerprint identification by developing innovative pattern recognition methods. The study provides a detailed analysis of crime scene investigation, with a special focus on the significance of fingerprints, and offers direction for future investigations. The development of fingerprint science is also discussed, including its historical background and contemporary techniques. The study highlights the growing importance of DNA technology in criminal investigations and discusses the challenges facing the scientific and justice communities in maintaining the highest standards for DNA evidence collection, testing, and analysis. The research relied on primary sources, such as the U.S. Department of Justice, Interpol, and the Innocent Project, as well as secondary sources, including research reports, textbooks, and journals. The study also includes hands-on experience working with investigation officers at actual and artificial crime scenes. The findings offer insights into the significance of DNA evidence and raise important issues for legal and law enforcement communities.

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Fingerprints, Role of fingerprint in crime scene

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

कला का संबंध सजान से ै और मनुष्य ने अपने आरंसभक समय से इस सृजनात्मकता का पररचय हदया ै। मानव सभ्यता के ववकास के साथ कलारूपों का ववकास ोता गया। कला द्वारा मस्स्तष्क और कल्पना को सशस्क्षत करने का अथा ऐसे ऐसे मस्स्तष्क का सनमाार् का करना ै, जो मानवता के बे तरीन तूफानों को पार करे, ज ां से मनुष्य संकु सचत ववचारों से ऊपर उठ सकता ै। ससनेमा कई कलाओं की समुसचत ववधा ै। नृत्य, गीत, संगीत, असभनय, सचत्रकला सभी कलाएं इसमें समाह त ैं इससलए ससनेमा आम जनता से आसानी से संवाद करने में सफल ुआ।

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