Titlebook: Machine Learning and Big Data Analytics(Proceedings of International Conference on Machine Learning ; Rajiv Misra,Rudrapatna K. Shyamasund

CREST

Shashank Kumar Singh,Amrita Chaturvedi,Alok Prakashgen neben dem Strom auch die Spannung unsymmetrisch oder verzerrt, so weicht die aus p(t) abgeleitete Scheinleistung S von der Rechtleistung S. ab. Ein abweichender Weg wird in [16] beschritten. Ob jedoch diese Definitionen, die den Zeitverlauf der Dreiphasenleistung p(t) unberücksichtigt lassen, pr

沖突

Bug Assignment Through Advanced Linguistic Operations,ted system which assign the issues directly to the developer. We have used two approaches to achieve this. First we have made an Artificial Neural Network (ANN) and Recurrent Neural Network (RNN) model on 2M bugs and by ensemble of these two Neural networks we have framed a final model with the help

Pudendal-Nerve

Static and Dynamic Hand Gesture Recognition for Indian Sign Language, classify hand gestures to their correct which means with the most accuracy doable. A unique approach for same has been planned and a few different wide standard models have compared with it. The novel model is made using canny edge detection, dilation, threshold and ORB. The preprocessed informatio

無(wú)聊的人

Explainable AI for Healthcare: A Study for Interpreting Diabetes Prediction,ods can help healthcare practitioners to understand the features that affect the decision-making process for detection of diseases like diabetes. In the past few years, researchers have been successful in detecting diabetes using machine learning models. Explainable artificial intelligence is except

Preamble

QR Based Paperless Out-Patient Health and Consultation Records Sharing System,he same among clinics at times of need. The proposed system aims at recording vital information (Audio) such as Doctor’s advice, medications and dietary suggestions during consulting and converts the same to text and subsequently to QR Code. The QR codes along with medical tests data, if any are sto

不出名

Integrated Micro-Video Recommender Based on Hadoop and Web-Scrapper,ing into account the rating given by users. But some platforms don’t have rating options like YouTube. User-based recommendation is a traditional approach. It requires time and space for calculation. Hadoop is the best solution for it. User-based recommendation algorithm based on Map-Reduce without

Collar

Comparison of Machine Learning Techniques to Predict Academic Performance of Students,cted from sharing the drive sheet among students of various institute. As a result, found that ANN model is best suited and highest accurate model for this dataset so by applying this model institute got the highest accurate result and take the wise decision to improve the performance of students in

GEAR

Commodious

Applying Extreme Gradient Boosting for Surface EMG Based Sign Language Recognition, Electromyography signals. For, this a new data-set was made by collecting surface Electromyography signals from ten adult-subjects. The classification model was trained using Extreme gradient boosting (XGBoost) algorithm and we obtain an accuracy of 99.09%.

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