The purpose of the Smart Cities Mission as mentioned by Govt. of Indiais " to promote cities that provide core infrastructure and give a decent quality of life to its citizens, a clean andsustainable environment and application of " Smart " Solutions " . Accordingly, mission is aimed at driving economic growth and improving the quality of life of citizens by enabling local area development leveraging technology that leads to Smart outcomes. The, purpose of this study is to explore current state of these parameters in Pune city form citizens perspective.

School of Management PG

Management

World University root node

Khoj Journal Indian Management Research and Practices

Exploring the Challenges of Implimenting Smart City Project in Pune

Emotions play an essential role in human life for planning and decision making. Emotion identification and recognition is a widely explored field in the area of artificial intelligence and affective computing as a means of empathizing with humans and thereby improving human machine interaction. Though audio visual cues are vital for recognizing human emotions, they are sometimes insufficient in identifying emotions of people who are good at hiding emotions or people suffering from Alexithymia. Considering other dimensions like Electroencephalogram (EEG) or text, along with audio visual cues can aid in improving the results in such situations. Taking advantage of the complementarity of multiple modalities normally helps capture emotions more accurately compared to single modality. However, to achieve precise and accurate results, correct fusion of these multimodal signals is solicited. This study provides a detailed review of different multimodal fusion techniques that can be used for emotion recognition. This paper proposes in-depth study of feature-level fusion, decision-level fusion and hybrid fusion techniques for identifying human emotions based on multimodal inputs and compare the results. The study concentrates on three different modalities i.e., facial images, audio and text for experimentation; at least one of which differs in temporal characteristics. The result suggests that hybrid fusion works best in combining multiple modalities which differ in time synchronicity.

School of Computer Engineering & Technology

Engineering and Technology

Fulltext

International Journal of Advanced Computer Science and Applications

Review on Multimodal Fusion Techniques for Human Emotion Recognition

In healthcare machine learning is used mainly for disease diagnosis or acute condition detection based on patient data analysis. In the proposed work diabetic patient dataset analysis is done for hypoglycemia detection which means the lowering of blood glucose level (BGL). Often in healthcare it is observed that the dataset is imbalanced. Therefore, an Ensemble Approach using imbalanced dataset techniques synthetic minority over-sampling technique and adaptive synthetic oversampling methods with different evaluation methods like train-test, K-fold, stratified K-Fold and repeat traintest were used. This ensemble approach was implemented on diabetic dataset using K-nearest neighbor (KNN), support vector machine (SVM), random forest (RF), Naïve Bayes (NB) and logistic regression classifiers with average Stacking-C method thereafter to conclude. Comparative analysis was done using three different considerations. The results showed that KNN and random forest gives more stable metric values both on balanced and imbalanced dataset. The confusion matrix consideration concluded that KNN and random forest were found to be better with least false negative and maximum true positive count. But if average train and test time is taken into consideration then Naïve Bayes and random forest had least average traintest time. Thus, the three different considerations concluded that the proposed ensemble approach gives better clarity for different classifier implementation using machine learning.

Indonesian Journal of Electrical Engineering and Computer Science

<a href="https://www.researchgate.net/profile/Deepali-Javale-2/publication/364961953_Machine_learning_ensemble_approach_for_healthcare_data_analytics/links/6369dd2054eb5f547cb0d55b/Machine-learning-ensemble-approach-for-healthcare-data-analytics.pdf">Machine learning ensemble approach for healthcare data analytics</a>

School of Electronics & Communication Engineering

School of Management UG

MIT World Peace University

MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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