Volume 10 | Issue 8 |

 Abstract

Stock trading techniques play the essential aspect of functioning as a key factor when it comes to investment. In this case Paper, It proposes a way of learning a stock trading strategy that maximizes return on investment using Deep Reintorcement.Researchers developed ways to buy and sell using deep reinforcement learning agents using ensemble trading strategies for actor-critical-based models on these 5 Algorithms: Proximal Policy Optimization (PPO), Actor-Critic Gain (A2C), Deep Deterministic Policy Gradient (DDPG), Twin-Delayed Deep Deterministic Policy Gradient (TD3), Soft Actor-Critic(SAC). Ensemble strategy inherits and integrates the excellent features of these five Algorithms, thereby robustly adapting to the exceptional market situation.To avoid immense memory usage in training networks with an area of continuous movement, For processing massive amounts of data, researchers employ the load-on-demand approach, 30 Dow Jones Stocks with enough liquidity are used to test the algorithms.The overall performance of the trading agency was evaluated with significant enhancement of the Reinforcement algorithm and compared to both the Dow Jones trading stock index and the traditional minimum deviation portfolio allocation procedure. The proposed deep ensemble strategy outperforms baselines and five algorithms in trade-weighted returns by the Sharpe ratio.

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 Keywords

Deep reinforcement learning, Markov Decision Process, Automated stock trading, ensemble strategy,actor-critic framework,Proximal Policy Optimization (PPO),Actor-Critic Gain (A2C),Deep Deterministic Policy Gradient (DDPG), Twin-Delayed Deep Deterministic Policy Gradient (TD3),Soft Actor-Critic(SAC).

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Creative Commons Attribution 4.0 and The Open Definition

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These studies are subject to a number of constraint, which cause development projects in Afghanistan to be delayed. One of the key obstacle is the project's implementation delay, as well as the late completion of work or activity compared to the schedule. The flaws and failures of the projects, as well as the delay in project development, are dividing the populace and government and are detrimental to the standing and dignity of public authorities. There are 83 reasons for delays, according to a wide spectrum of literary studies. Questions were received from 60 reputable construction parties, including Afghan clients, contractors, and consultancies. Questionnaires According to the research, security, corruption, the contractor's lack of technical expertise, and delays in financial accounts, poor site management, and inadequate contractor oversight are the main causes of building delays in Afghanistan. Additionally, this study examines how construction delays affect projects in Afghanistan and offers some suggestions.

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Creative Commons Attribution 4.0 and The Open Definition

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Delay, Construction, Afghanistan, Construction delay

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Creative Commons Attribution 4.0 and The Open Definition

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IoT, Home automated control ,Arduino home control remotely

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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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Garbhini, Sutika, Fetus, Nutrition, Care, Health, Woman

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract. Fake news is defined as a misleading news stories that comes from the non-reputable sources. 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. As a result of this a lot of research is already focused on detecting it. This paper makes research and implementation of fake news detection system to create a model of a product with supervised machine learning algorithm. Basically in this paper will employ a Naive Bayes classifier in order to create a model to classify an article into fake or real based on its words and phrases., that can classify fake news as true or false, by using tools like a count vectorizer (using word tallies) or a (Term Frequency Inverse Document Frequency) tfidf matrix It is very possible that two articles that are similar in their word count will be completely different in their meaning.

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Fake News Detection System

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Creative Commons Attribution 4.0 and The Open Definition

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Dravya is one among the six categories accepted by Vaisesika and Ayurvedic philosophies. The main purpose of the Ayurveda i.e. Swasthasya swasthy raksana, Aturasya vikara prasamana, which is dependent on Ahara dravya and Ausadha dravyas. All the vegetable kingdom is developed on and from the earth and it is the base of food grain etc. which are essential for the development and maintenance of human being. Prithvi Mahabhuta has an important role in the formation, giving a particular shape and growth of the body. Earth, minerals and vegetable kingdom etc. are the objective forms of the Prithvi Mahabhuta, plays a most important role in the medical science. Hence an attempt has been made in this paper to arrive at a Critical Review on Prithvi Mahabhuta.

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Prithvi, Mahabhuta, Dravya, Ayurveda

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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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Depression, Boys and Girls, Students of Urban Area and Rural Area.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper provides a prototype of a text mining and machine learning-based stroke classification system. With the use of properly trained machine learning algorithms, machine learning may be portrayed as a significant tracker in fields like surveillance, medicine, and data management. This work uses data mining techniques to provide an overview of the monitoring of information from both a semantic and a syntactic standpoint. The suggestion is to extract patients' symptoms from case sheets and use the information to train the system. The case sheets of 507 patients from the Sugam Multispecialty Hospital in Kumbakonam, Tamil Nadu, India, were gathered during the data collection phase. The case sheets were then mined using maximum entropy and tagging approaches, and the suggested stemmer extracts the common and distinctive set of properties to categorise the strokes. Following that, a variety of machine learning methods, including artificial neural networks, support vector machines, boosting and bagging, and random forests, were fed the processed data. With a classification accuracy of 95% and a standard deviation of 14.69, artificial neural networks trained using a stochastic gradient descent approach surpassed the other algorithms.

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artificial neural networks, support vector machines, boosting and bagging, and random forests, were fed the processed data.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents a model to group stroke that joins message mining instruments and AI calculations. AI can be depicted as a huge tracker in regions like observation, medication, information the executives with the guide of reasonably prepared AI calculations. Information mining procedures applied in this work give a general survey about the following of data as for semantic as well as syntactic points of view. The proposed thought is to mine patients' side effects from the case sheets and train the framework with the obtained information. In the information assortment stage, the case sheets of 507 patients were gathered from Sugam Multispecialty Hospital, Kumbakonam, Tamil Nadu, India. Then, the case sheets were mined utilizing labeling and most extreme entropy approaches, and the proposed stemmer removes the normal and extraordinary arrangement of characteristics to group the strokes. Then, the handled information were taken care of into different AI calculations, for example, fake brain organizations, support vector machine, helping and packing and irregular woodlands. Among these calculations, counterfeit brain networks prepared with a stochastic inclination drop calculation outflanked different calculations with a higher order precision of 95% and a more modest standard deviation of 14.69.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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About E-assessment, computer-based assessment, computer-assisted assessment, computer-aided assessment, examination, exam, image processing

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Creative Commons Attribution 4.0 and The Open Definition