Priyanka Agrawal student, electrical, mits, rgpv, gwalior, mp 474005, india† Dr. A. K. Wadhwani professor, electrical ,mits, rgpv gwalior, mp 474005, india Abstract : This paper deals with the designing of feed forward neural network (FFNN) with the effect of ANN parameters for feature extraction of ECG signal by employing wavelet decomposition. Extraction of ECG features has a significance rol...

In this paper, we study a novel approach for named entity recognition (NER) and mention detection (MD) in natural language processing. Instead of treating NER as a sequence labeling problem, we propose a new local detection approach, which relies on the recent fixed-size ordinally forgetting encoding (FOFE) method to fully encode each sentence fragment and its left/right contexts into a fixedsi...

The most significant practical challenge for face recognition is perhaps variability in lighting intensity. In this paper, we developed a face recognition which is insensitive to large variation in illumination. Normalization including two steps, first we used Histogram truncation as a preprocessing step and then we implemented Homomorphic filter. The main idea is that, achieving illumination i...

Abstract Evaluating the exact first derivative of a feedforward neural network (FFNN) output with respect to input feature is pivotal for performing sensitivity analysis trained inputs. In this paper, novel method presented that computes analytical quality features without need backpropagation. To end, complex step approximation illustrated, and its implementation in framework described. Artifi...

The present study applies two different machine learning (ML) algorithms to predict the stress-strain mapping for non-linear behaviour of thermoplastic materials: a Long Short-Term Memory (LSTM) algorithm and Feed-Forward Neural Network (FFNN). approach this work requires generation curve specific material parameters. training data are obtained from von Mises law Ramberg-Osgood equation. four c...

The rapid advancement of wireless communication is forming a hyper-connected 5G network in which billions linked devices generate massive amounts data. traffic control and data forwarding functions are decoupled software-defined networking (SDN) allow the to be programmable. Each switch SDN keeps track information flow table. switches must search table for rules that match packets handle incomi...

Machine learning has already been proven as a powerful state-of-the-art technique for many non-linear applications, including environmental changes and climate predictions. Wetlands are among some of the most challenging complex ecosystems water level Wetland prediction is vital, wetlands have their own permissible levels. Exceeding these levels can cause flooding other severe damage. On hand, ...

At present, with the growing number of Web 2.0 platforms such as Instagram, Facebook, and Twitter, users honestly communicate their opinions ideas about events, services, products. Owing to this rise in social extensive use by people, enormous amounts data are produced hourly. However, sentiment analysis or opinion mining is considered a useful tool that aims extract emotion attitude from user-...