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IJIRTM: Volume-7, Issue-3, 2023

Paper Title : Stock Price Forecast Using Long Short Term Memory (LSTM) Algorithm
Author Name : Kunal Panthi, Dr.Vineet Richhariya, Dr.Sadhna K. Mishra
Keywords : Stock Market, Machine Learning, Predictions, Classification, forecasting, Data mining, Google Stock Forecasting, Logistic Regression (LR), LSTM.
Abstract :

One of the most significant activities in the world of finance is stock trading. Trying to anticipate the future value of a stock or other financial instrument traded on a financial exchange is known as stock market prediction. This describes how machine learning was used to predict a stock. The majority of stockbrokers employ technical, fundamental, or time series analysis when making stock predictions. In this article, we suggest a machine learning (ML) strategy that will be trained using the stock market data that is currently available to gather intelligence before using the learned information to make an accurate prediction. We used ML algorithms like LR and LSTM in these, and the summary of model performance parameters shows that LSTM outperforms LR Model for the datasets.

Download IJIRTM-7-3-0703202301
Paper Title : First Steps: Stepping Towards Recovery for Bed-Bound Patients
Author Name : Capt. Usha Banerjee, Ms.D. Maryline Flinsi
Keywords : Ambulation, Bed bound patients, Bedridden patients, First step, Steps corner.
Abstract :

Ambulation is crucial as it sets the path to recovery. It is about setting the patient to become more independent. It helps to prevent post-operative / procedure and bed bound complications and has large range of benefits for the patients - stimulates circulation, promotes flow of oxygen throughout the body, helps to maintain normal breathing function, prevents formation of blood clots, increases muscle tone & strength, aids in joint flexibility, relieves constipation, and improves self esteem. Group Director Nursing of Apollo Hospitals Group, has developed a campaign titled “first steps” to celebrate the moment when the patient start ambulation after a long duration of being bed bound due to a surgery/ procedure/ prolonged hospitalization. This campaign was conducted in all Apollo units across the country .In the campaign the units made a beautiful First step corner in the corridors and labeled the area as “The Steps Corner” & decorated it with quotes or tagline to motivate & cheer the patients. When the patient is ambulated, the nurse must walk along till this area slowly and progressively based on the patient’s condition – target this as a mile stone when they are able to walk till there. The patients were made to write something on the board/ pin their comments every day and let it be there for a long while to motivate the other patients. The units which decorate the “First Steps” corner most creatively & records maximum number of tender loving care moments related to first steps was awarded at the end of the month.

Download IJIRTM-7-3-0703202302
Paper Title : Genuine Information Testbed for 5G/B5G Shrewd Organization as a Review
Author Name : Pramod Kumar Chaudhary, Dr.Neetesh Raghuwanshi
Keywords : True-data testbed, Wireless communication networks, Artificial intelligence (AI), Big data, Internet of everything (IoE).
Abstract :

Future past fifth-age (B5G) and 6th era (6G) versatile correspondences will move from working with relational correspondences to supporting web of everything (IoE), where astute interchanges with full reconciliation of enormous information and computerized reasoning (simulated intelligence) will assume a significant part in further developing organization effectiveness and offering top notch assistance. As a fast developing worldview, the simulated intelligence enabled portable correspondences request a lot of information procured from genuine organization climate for methodical test and check. Thus, we construct the world's most memorable genuine information testbed for 5G/B5G smart organization (TTIN), which involves 5G/B5G on location trial organizations, information obtaining and information distribution center, and computer based intelligence motor and organization streamlining. In the TTIN, genuine organization information procurement, capacity, normalization, and examination are accessible, which empower framework level web-based check of B5G/6G-orientated key advancements and backing information driven network enhancement through the shut circle control system. This paper expounds on the framework engineering and module plan of TTIN. Itemized specialized details and a portion of the laid out use cases are likewise displayed.

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Paper Title : Improved the Proficiency of Energy for Device To Device Correspondence Underlying Cellular 5G Network
Author Name : Pramod Kumar Chaudhary, Dr.Neetesh Raghuwanshi
Keywords : D2D Communication, cellular network, power optimization, PSO, Interference, frequency reuse.
Abstract :

Gadget to-Gadget (G2G) correspondence has drawn in loads of consideration as one of the most progressive remote correspondence advances which permits admittance to administrations presented by neighbouring gadgets bypassing the Base Station (BS). The likely benefits of this immediate correspondence worldview incorporate high information rate, network offloading and range augmentation, as well as business vicinity administrations and person to person communication. Since D2D correspondence is conceived as short-range direct correspondence between adjacent clients, it is likewise vital to display the D2D-empowered cell networks as various locales rather than fixed districts. The thought of fixed areas permits demonstrating of the area subordinate execution of clients. In such manner it is a profoundly moving open issue to logically research the intra-cell impedance in a D2D-empowered cell organization and the presentation of underlay D2D correspondence when the clients are restricted in a limited locale.

Download IJIRTM-7-3-0703202304