Volume 10 | Issue 7 |

 Abstract

Speaking disability community use hand gestures as a communication tool with the abled community. It is useful for connecting people with computers. This paper mainly focuses on converting sign language that has been communicated through the means of digital media such as live video chats, video messages, etc. to text. The speech-impaired individual performs the necessary signs/gestures that indicate the message they want to convey to the camera that records the video. This video is then pre-processed and implemented in the model that has been trained to recognize similar object patterns in videos. The model is trained using a dataset comprising of images. The model is then checked for accuracy and necessary steps are taken to ensure that it predicts accurately. This model is used to recognize sign language gestures performed by speech-impaired individuals for easier communication.

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 Keywords

Hand gestures, CNN, Hearing-impaired, Sign language.

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Creative Commons Attribution 4.0 and The Open Definition

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Bacteria that colonize plant roots and promote plant growth and their yield are referred to as plant growth promoting rhizobacteria (PGPR). In this regard soil sample was collected from rhizospheric and non-rhizospheric region of a potted plant and preserved in polythene bag, later serial dilution was performed and incubated on LB media. For identification and characterization of bacterial species, combinations of DNA barcoding, biochemical tests- ammonia test, KOH test, organic acid test, catalase test, methyl red and voges-proskauer test, oxidase test and Sanger sequencing was performed. In this study, we have targeted universal gene 16srRNA for sequencing. The obtained species were identified as Achromobacter xylosoxidans 17SIN-B2, Brevibacillus brevis strain JZY2-32, Bacillus subtilis subsp. Subtilis strain WXZP9, Serratia sp. XT-1 and Achromobacter xylosoxidans strain MT3, which are PGPR bacteria help in growth of plant.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Anaemia, Fortified rice, Hidden hunger, Rice fortification, Vitamin and mineral deficiency.

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The current work uses a study of fundamental thermodynamical features( product of thermal expansion coefficient and bulk modulus remains constant under pressure) to describe the behaviour of certain nanomaterials with equal first order pressure derivatives of bulk modulus under high pressure . Different Equation of states [EOS] have been applied and compared with the experimental result. An equation is formulated and is used to investigate the isothermal compression of nanomaterials i.e.?-Fe2O3, CuO, AlN, TiO2(anatase phase) , Ni(20nm),Ge(49nm),CNT(single walled Corban Nanotube, CdSe (Rock salt Phase) . Moreover the present EOS model specifies close conformity with the experimental data. This demonstrates the legitimacy of the current strategy ,the obtained results are discovered to be in perfect agreement with the experimental data that is already known, proving the correctness of the formulation used in this study.

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Nanomaterials, thermal expansion , pressure derivative of Bulk modulus, equation of State, carbon nanotubes.

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Creative Commons Attribution 4.0 and The Open Definition

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Gestational diabetes mellitus (GDM) can cause adverse consequences to both mothers and their newborns. However, pregnant women living in low- and middle-income areas or countries often fail to receive early clinical interventions at local medical facilities due to restricted availability of GDM diagnosis. The outstanding performance of artificial intelligence (AI) in disease diagnosis in previous studies demonstrates its promising applications in GDM diagnosis. Candidate predictors included maternal demographic characteristics and medical history (maternal factors) and laboratory values at early pregnancy. The models were derived from the first 70% of the data and then validated with the next 30%. Variables were trained in different deep learning models and traditional logistic regression models. Deep Learning classification algorithms like Support Vector Machines (SVM), Convolutional Neural Networks (CNN), Artificial Neural Networks (ANN), Long Short Term Memory (LSTM) etc., are used in the prediction of gestational diabetes mellitus. Different validation dataset is used in the prediction of GDM and fetal monitoring. Different scientific approaches based on deep learning in the field of GDM prediction research for collecting the evidence based descriptions related to deep learning classification techniques are described in this paper. The survey on the analysis of fetal monitoring system has been presented and review to describe the performance patterns and impact of research in the area of GDM prediction. The limitations and advantages of the paper are also discussed.

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 Keywords

Gestational diabetes mellitus (GDM), Deep learning, fetal monitoring system, pregnancy, SVM,CNN.

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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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IOT platform, Alcohol sensor ultrasonic sensors, Arduino, GPS, ESP modules

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Creative Commons Attribution 4.0 and The Open Definition

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Android, DFD,IAS Software, Biometricreader,. Microsoft SQL Server Management Studio .

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract Religion may be classified as living or dead. Those mentioned thus far are living religions. Many highly significant religions have come upon the world scene only to pass out of existence as the culture in which they survived lost their vitality and disappeared. Religions may be considered in terms of their aspiration to universality. There are only three that openly proclaim universal scope: Buddhism, Christianity, and Islam. Other religions, including three originating in India, seem to be hereditary or national system.

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Key Words: Jainism, Mahavira, Scriptures, Doctrine of Karma, Society.

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Training and development activities are essential to strengthen employee commitment. Therefore, the initial footstep in creating commitment is to progress the management quality and efficiency. Training and development of HRM in industries have been considered as a vital instrument for the expansion of enviable motive and perception for both the manager and employees. Training serves as a significant way for the progress efficient work practices and techniques of employment and thus develops career performance, diminish waste and catastrophes, organize persons for customized occupations avoid avoidable turnover, improvement of product and service quality. This research project is undertaken to identify the effectiveness of training programs adopted in selected banks. The major findings and suggestion have been drawn from the primary research. The findings revealed that impact of training and employee satisfaction at banks are not in line with the best practices concerning the intended and organized levels of performance after training and development employee capabilities and knowledge process as is generally known. Training and development will cause higher satisfaction level in employees and they will accomplish their duties with a lot of accountability with best performance.

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Banks, Training, Developments, employee commitment

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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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Web Application Development, MERN Stack

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Creative Commons Attribution 4.0 and The Open Definition