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Papers tagged with "Toc"
NGOCHAIN: REVOLUTIONIZING NGO OPERATIONS WITH BLOCKCHAIN TECHNOLOGY
The Increasing Prominence Of Blockchain Technology Has Found A Pivotal Role In Addressing Security Concerns Across Public And Private Sectors. Notably, Its Application In The Charitable Domain Is Gaining Atraction As A Solution To The Perva...
CRYPTO CURRENCY PRICE PREDICTION USING DEEPLEARNING
Cryptocurrencies Have Gained Immense Popularity In Recent Years As An Emerging Asset Class, And Their Prices Are Known To Be Highly Volatile. Predicting Cryptocurrency Authority.In This Paper, Our Proposal Is To Employ Long Short-Term Memor...
DESIGN AND DEVELOPMENT OF FPGA BASED TEMPERATURE AND LIGHT INTENSITY MEASUREMENT SYSTEM USING UART PROTOCOL
In This, Develop An Efficient FPGA Based Temperature And Light Intensity Measurement System To Reads The Temperature And Light Intensity Values Through XADC Using UART Protocol And Displays It On LCD Updated To Every Second Time Period. The...
PREDICTIVE MODELLING FOR STOCK MARKET PRICE MOVEMENTS USING MACHINE LEARNING
This Project Uses Machine Learning To Predict Stock Market Prices. We Collect And Clean Historical Stock Data And Then Build Different Models To Make Predictions. We Also Consider Fairness And Ethics In Our Predictions. Our Goal Is To Help...
SECURING GROUP DATA SHARING IN THE CLOUD: AN UNTRACEABLE DIGITAL DATA STORE APPROACH
This Study Presents A Pioneering Strategy To Fortify Group Data Sharing In Cloud Environments Via An Untraceable Digital Data Store. Conventional Cloud Data Sharing Practices Frequently Jeopardize Privacy And Security Due To Identifiable Da...
STOCK PRICE PREDICTION USING MACHINE LEARNING AND DEEP LEARNING TECHNIQUES
Since Stock Values Are Intrinsically Complicated, It Has Never Been Easy To Anticipate How They Will Move. In Recent Years, Deep Learning Techniques Have Shown Promising Results In Recognising Complex Patterns In Financial Time Series Data....
A REVIEW ON PHARMACOLOGICAL PROPERTIES OF LIQUORICE
In Recent Years, Consumers Have Paid Much More Attention To Natural Medicines And Ingredients, Largely Due To The General Feeling That Natural Compounds Are Safe. On The Other Hand, Plants That Are Used In Traditional Medicine And Can Be Ad...
A SURVEY AND INVESTIGATION OF DIFFERENT MACHINE LEARNING TECHNIQUES FOR FORECASTING STOCK TRENDS
The Stock Prices Depend Both On Time As Well As Associated Variables And Finding Patterns In Among The Variables Aid Forecasting Future Stock Prices Which Is Often Termed As Stock Market Forecasting. Stock Market Prediction Extremely Challe...
FORECASTING THE MOVEMENT OF STOCK TRENDS EMPLOYING DEEP NEURAL NETWORKS
Forecasting The Stock Market Is Difficult And Unpredictable. Numerous Factors, Such As Economic Statistics, Geopolitical Developments, Investor Mood, And Unforeseen Events Like Natural Catastrophes Or Health Crises, Can Have An Impact On Ma...
ENERGY EFFICIENT BANDWIDTH AND RESOURCE ALLOCATION BASED ON HETEROGENEOUS D2D COMMUNICATION
An Energy Efficient Bandwidth And Power Allocation Is Modeled As Min–max Fractional Stochastic Programming For Packet Delay To Solve The Resource Allocation Problem In Heterogeneous Networks. Each MT Adjusts Radio Bandwidth And Power Based...
AN COMPARATIVE STUDY ON STOCK MARKET PREDICTION USING MACHINE LEARNING ALGORITHMS
Stocks Are Possibly The Most Popular Financial Indicator Assumed For Building Wealth And Are The Best Part Of Any Investment Portfolio. From Last Few Decades, There Seen Severe Increase In The Moderate Person’s Interest For Stock Market. It...
A COMPARATIVE ANALYSIS BASED ON HUMAN-AI COLLABORATION
The Advent Of Artificial Intelligence (AI) Has Transformed The Landscape Of Human-machine Interaction, Leading To Unprecedented Opportunities For AI-human Collaboration. This Abstract Explores The Dynamic Synergy That Arises From Combining...
FORECASTING DAILY STOCK MOVEMENT USING A HYBRID NORMALIZATION IN ANN
The Potential Financial Benefits Of Stock Market Forecasting Have Drawn A Lot Of Interest. Due To The Various Interconnected Aspects, Predicting These Markets Is A Difficult Endeavour That Necessitates A Thorough As Well As Efficient Featur...
INVESTIGATION OF STRUCTURAL, OPTICAL AND ELECTROCHEMICAL PROPERTIES OF V2O5 NANOPARTICLES PREPARED BY TIME EFFICIENT MICROWAVE AUTOCLAVE TECHNIQUE
The Time-efficient Microwave Autoclave Technique Has Been Utilised To Synthesise The V2O5 Nanoparticles. According To XRD Analysis, The Progression Of The Nanostructure Was In Complete Orthorhombic Form, And Using The Scherrer Formula, The...
ESTIMATING THE MOVEMENT OF STOCK PRICES BASED USING ARTIFICIAL NEURAL NETWORKS
Predicting Stock Market Movements Using Neural Networks Is A Popular Application Of Machine Learning. Neural Networks Can Analyze Historical Stock Data And Attempt To Identify Patterns And Trends That Can Be Used To Predict Future Price Mov...