M
Manmohan Dogra
Researcher at St. Francis Institute of Technology
Publications - 6
Citations - 16
Manmohan Dogra is an academic researcher from St. Francis Institute of Technology. The author has contributed to research in topics: Deep learning & Convolutional neural network. The author has an hindex of 1, co-authored 6 publications receiving 2 citations.
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Proceedings ArticleDOI
Automated Identification of Disaster News for Crisis Management using Machine Learning and Natural Language Processing
Jayashree Domala,Manmohan Dogra,Vinit Masrani,Dwayne Fernandes,Kevin D'souza,Delicia Fernandes,Tejal Carvalho +6 more
TL;DR: The objective here is to automatically scrape news from English news websites and identify disaster relevant news using natural language processing techniques and machine learning concepts, which can further be dynamically displayed on the crisis management websites.
Book ChapterDOI
Fractal-Based Speech Emotion Detection Using CNN
TL;DR: In this paper, a convolutional neural network (CNN) was used for speech emotion classification with an accuracy of 97% on three publicly available datasets, namely, Surrey Audio-Visual Expressed Emotion (SAVEE), Toronto emotional speech set (TESS), and Berlin Database of Emotional Speech (Emo-DB) with the help of CNN.
Book ChapterDOI
Lyrics Inducer Using Bidirectional Long Short-Term Memory Networks
TL;DR: In this article, bidirectional long short-term memory (LSTM) networks are used for lyric generation, which can exceptionally create versus relying upon the information seed and the scope of words.
Improving the Yield and Revenue of Indian Crop Production Using Data Engineering
TL;DR: In this article, a data engineering procedure is presented to analyze crop data and provide recommendations, which is divided into three main modules, viz recommendation of season and location, recommendation of crop harvesting months and comparison of fruit and vegetable crops.