Volume 10 | Issue 5 | May-2022

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Rug healthy, Rug sick, Facial Cue of illness images. Deep Learning, CNN, VGG16, VGG19, InceptionV3, Xception and ResNet50.

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Creative Commons Attribution 4.0 and The Open Definition

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In recent years, it is difficult to develop applications for both iOs and Android with in less time. To overcome this, Google introduce a new framework called Flutter. It is a new reactive framework and platform for building high performance and beautiful mobile apps . It is useful extensively at google to build business-critical apps, and by third party developers to build popular apps .It is also used as a SDK which provides support to build beautiful mobile apps in record time. Flutter is highly customizable , which allows it to build apps that are brand centric, or with the look and feel of native Android and iOs apps from a single code base.

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Flutter, SDK, Highly customizable, Android, iOs.

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Creative Commons Attribution 4.0 and The Open Definition

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Text recognition is a technique that recognizes text from the paper document in the desired format (such as .doc or .txt). The text recognition process involves several steps, including pre-processing, segmentation, feature extraction, classification, and post-processing. The pre-processing is performed as a binarized image to convert gray scale image, and noise is reduced on the input image of the basic operation performed by removing the noise of the image signal. The segmentation phase is used to segment the image given online and segment each character of the segmentation line. Feature extraction is to compute the characteristics of the image document. This document describes techniques for converting the textual content of a paper document into a machine-readable format. This paper analyses and compares the technical challenges, methods, and performance of text detection and recognition studies in color images. It summarizes the basic issues and lists the factors that should be considered when addressing them. The prior art is classified as step-by-step or integrated and highlights sub-problems including text localization, verification, segmentation and identification of text. This survey provides a basic comparison and analysis of the scope and challenges in the field of text recognition

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Classification, Data mining, Segmentation, Text recognition

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Artificial Intelligence in Cloud Computing is a growing field that focuses on building intelligent solutions for myriad industries. AI Cloud Computing offers Machine Learning and Statistical tools capable of performing advanced calculations that companies can use to create dynamic applications. AI Cloud Computing focuses on building those intelligent applications, helping companies use Big Data, deploy algorithms for advanced app functionality, and predict and forecast future growth that tremendously helps with business profitability and longevity. This paper explores the evolution of AI in Cloud Computing, its benefits for small and large enterprises, the latest market trends, use cases, and future predictions.

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Cloud Computing, Artificial Intelligence, Machine Learning, Internet of Things, Tesla, Algorithms, Linear Regression, Logistic Regression, Automated ML, Data Management, Synthetic Data, Analytics Platform

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Biogas/ Gobargas is of more important in this days energy resources. It is very much important fuel in low cost with good efficiency. Fossil fuels are going to end in upcoming 50 years. So we have to make good quality of alternative fuel like biogas. Production of biogas/ gobargas depend on using of waste and organic feedstock matter, that provides an excellent solution for organic waste management. There are different parameters those disturb the yield of biogas by anaerobic digestion. .Biogas is a mixing of different gases that is an outcome of anaerobic (absence of air) digestion. It consists mainly methane- (CH4) and carbon dioxide- (CO2) which are the main greenhouse-gases and other different impurities. The substrate for anaerobic digester is a different kindof organic waste matter means it decreases a load of disposal of organic load of wastes due to the uncontrolled open dumping of organic discarded waste. There are different diseases and very bad odors during the degradation of waste [12] . This review paper analyses different factors those affect the biogas output rate including the usage of feedstock temperature, hydraulic retention time, C/N ratio, pH value, mixing, feedstock loading rate, agitation, etc. Currently Biogas is solving problems of fuel in rural areas to some extent.

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A Review paper on Parameters influences quality of Biogas Production.

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Healthcare is a rapidly evolving subject that needs accurate diagnoses to make certain powerful remedy for patients. Machine getting to know has the potential to revolutionize healthcare via offering quicker and extra accurate diagnoses, custom designed remedy plans, and predictive analytics. This paper explores the machine learning programs of getting to know in healthcare, with a particular consciousness on its use in improving affected person results and decreasing charges. The paper moreover discusses the ethical concerns surrounding the use of system in healthcare and the challenges that facing and also conclusions.

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Machine learning, healthcare, support vector machine, EHR, genomics, artificial intelligence

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In recent times, blockchain, the foundational technology powering Bitcoin, has attracted extensive attention as an immutable ledger enabling decentralized transactions. The proliferation of blockchain-based applications across diverse domains, such as finance, reputation systems, and IoT, has been remarkable. However, challenges related to scalability and security persist and demand resolution. This paper presents a comprehensive overview of both blockchain technology and Bitcoin's transformative impact. It begins by introducing blockchain architecture and various consensus algorithms utilized in different blockchains. Additionally, the paper outlines technical challenges and recent advancements in the field. Furthermore, we delve into the multifaceted outcomes and research directions inspired by Bitcoin's emergence as a billion- dollar economy. By combining insights from both blockchain and Bitcoin, this survey provides a holistic understanding of their significance and potential future trends.

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Blockchain Technology, Bitcoin, Internet of Things (IoT), Data storage, internet

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In the ever-evolving landscape of financial markets, accurate prediction of stock prices remains an elusive challenge. This research presents a pioneering approach, "Unlocking the Future of Stock Markets," which leverages an advanced Genetic Algorithm-Based Horizontal Partition Decision Tree (GA-HPDT) for the precise prediction of close values. The proposed methodology combines the power of genetic algorithms for feature selection and decision tree modeling to enhance forecasting accuracy. Extensive experiments on historical stock market data demonstrate the effectiveness of our approach, showcasing substantial improvements in prediction accuracy compared to traditional methods. By uncovering hidden patterns and trends in stock market data, our model offers invaluable insights for investors, traders, and financial analysts, ultimately contributing to more informed decision-making in the complex world of stock trading.

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Stock Market Prediction, Genetic Algorithm, Close Value Forecasting, Financial Markets

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In the face of global challenges such as climate change and a growing population, the agricultural sector is under increasing pressure to enhance productivity while minimizing environmental impact. This research paper delves into the transformative potential of Artificial Intelligence (AI) in the realm of sustainable agriculture, with a specific focus on Precision Farming. Precision Farming employs AI-driven technologies to optimize resource allocation, crop management, and decision-making processes. This paper presents a comprehensive case study analyzing the multifaceted impact of AI-driven Precision Farming techniques on environmental sustainability, resource efficiency, and agricultural productivity. The study draws from empirical data and real-world examples to elucidate the synergies between AI and sustainable agriculture, highlighting its potential to revolutionize conventional farming practices. Moreover, it discusses the challenges and ethical considerations associated with the adoption of AI in agriculture. The findings of this research offer valuable insights into the ongoing global efforts to achieve a more sustainable and resilient agricultural sector.

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Abstract: In the face of global challenges such as climate change and a growing population, the agricultural sector is under increasing pressure to enhance productivity while minimizing environmental impact. This research paper delves into the transformative potential of Artificial Intelligence (AI) in the realm of sustainable agriculture, with a specific focus on Precision Farming. Precision Farming employs AI-driven technologies to optimize resource allocation, crop management, and decision-m

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SHAHBHAGI GRAMIN MULYANKAN TAKNEK KA SHAISNEEK

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Creative Commons Attribution 4.0 and The Open Definition

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SHAHBHAGI GRAMIN MULYANKAN TAKNEK KA SHAISNEEK

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Creative Commons Attribution 4.0 and The Open Definition