Search Results - "Bhattacharjee, Tanuka"

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  1. 1

    Synergism of Firefly Algorithm and Q-Learning for Robot Arm Path Planning by Sadhu, Arup Kumar, Konar, Amit, Bhattacharjee, Tanuka, Das, Swagatam

    Published in Swarm and evolutionary computation (01-12-2018)
    “…Over the past few decades, Firefly Algorithm (FA) has attracted the attention of many researchers by virtue of its capability of solving complex real-world…”
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    Journal Article
  2. 2

    Exploring the Role of Fricatives in Classifying Healthy Subjects and Patients with Amyotrophic Lateral Sclerosis and Parkinson's Disease by Bhattacharjee, Tanuka, Belur, Yamini, Nalini, Atchayaram, Yadav, Ravi, Ghosh, Prasanta Kumar

    “…Dysarthria due to Amyotrophic Lateral Sclerosis (ALS) and Parkinson's Disease (PD) impairs sustained phoneme productions. Vowels and fricatives get affected…”
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    Conference Proceeding
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    A general type-2 fuzzy set induced single trial P300 detection by Bhattacharjee, Tanuka, Kar, Reshma, Konar, Amit, Lekova, Anna, Nagar, Atulya K.

    “…P300 is one of the most widely studied event-related potentials. Unfortunately, most of the existing automatic P300 detection schemes require computations over…”
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    Conference Proceeding
  7. 7

    Robust Beat-to-Beat Interval from Wearable PPG using RLS and SSA by Bhattacharjee, Tanuka, Choudhury, Anirban Dutta, Pal, Arpan

    “…Ambulatory Photoplethysmogram (PPG) is a more user-friendly choice for continuous cardiac monitoring as compared to Electrocardiogram (ECG). However, wearable…”
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    Conference Proceeding Journal Article
  8. 8

    Low Complexity Model with Single Dimensional Feature for Speech Based Classification of Amyotrophic Lateral Sclerosis Patients and Healthy Individuals by Jayakumar, Anjali, Bhattacharjee, Tanuka, Vengalil, Seena, Belur, Yamini, Atchayaram, Nalini, Ghosh, Prasanta Kumar

    “…Lightweight automatic diagnostic tools for Amy-otrophic Lateral Sclerosis (ALS) and the associated dysarthria are essential for deployment in resource-limited…”
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    Conference Proceeding
  9. 9

    Eliminating Individual Bias to Improve Stress Detection from Multimodal Physiological Data by Das, Deepan, Datta, Shreyasi, Bhattacharjee, Tanuka, Choudhury, Anirban Dutta, Pal, Arpan

    “…Stress monitoring is important for mental wellbeing and early detection of related disorders. The current work is focused on stress detection from multiple…”
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    Conference Proceeding Journal Article
  10. 10

    A Heart Rate Driven Kalman Filter for Continuous Arousal Trend Monitoring by Bhattacharjee, Tanuka, Datta, Shreyasi, Das, Deepan, Choudhury, Anirban Dutta, Pal, Arpan, Ghosh, Prasanta Kumar

    “…This paper proposes a continuous and unsupervised approach of monitoring the arousal trend of an individual from his heart rate using Kalman Filter. The…”
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    Conference Proceeding Journal Article
  11. 11

    Static Video Summarization Using Artificial Bee Colony optimization by Bhattacharjee, Tanuka, Saha, Sriparna, Konar, Amit, Nagar, Atulya K.

    “…This paper proposes an Artificial Bee Colony optimization based static video summarization technique that represents the synopsis of a video by the most vital…”
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    Conference Proceeding
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    Classification and quantitative estimation of cognitive stress from in-game keystroke analysis using EEG and GSR by Das, Deepan, Bhattacharjee, Tanuka, Datta, Shreyasi, Choudhury, Anirban Dutta, Das, Pratyusha, Pal, Arpan

    Published in 2017 IEEE Life Sciences Conference (LSC) (01-12-2017)
    “…This paper presents a novel approach to classify cognitive stress, at an inter-personal level, induced by a proposed Stroop-Tetris game using…”
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    Conference Proceeding
  14. 14

    Trend Statistics Network and Channel invariant EEG Network for sleep arousal study by Rao, M.V. Achuth, Ghosh, Prasanta Kumar, Bhattacharjee, Tanuka, Choudhury, Anirban Dutta

    “…Sleep is a very important part of life. Lack of sleep or sleep disorder can cause a negative impact on day to day life and can have long term serious…”
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    Conference Proceeding Journal Article
  15. 15

    Sepsis Prediction using Continuous and Categorical Features on Sporadic Data by Sharma, Varsha, Bhattacharyya, Chirayata, Bhattacharjee, Tanuka, Khandelwal, Sundeep, Poduval, Murali, Choudhury, Anirban Dutta

    “…Sepsis is one of the most prevalent causes of mortality in Intensive Care Units (ICUs) and also one of the most expensive health-care problems. Delayed…”
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    Conference Proceeding
  16. 16

    A type-2 fuzzy set induced classification of cognitive load in inter-individual working memory performance based on hemodynamic response by De, Amiyangshu, Bhattacharjee, Tanuka, Konar, Amit, Ralescu, Anca L., Nagar, Atulya K.

    “…The crucial role of working memory for cognitive performance based on temporary information processing has been studied for decades. Behavioral tests and…”
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    Conference Proceeding
  17. 17

    SleepTight: Identifying Sleep Arousals Using Inter and Intra-Relation of Multimodal Signals by Bhattacharjee, Tanuka, Das, Deepan, Alam, Shahnawaz, M.V., Achuth Rao, Kumar Ghosh, Prasanta, Lohani, Ayush Ranjan, Banerjee, Rohan, Choudhury, Anirban Dutta, Pal, Arpan

    “…Sleep arousal directly affects the quality of sleep. PhysioNet Challenge 2018 aims to correctly identify designated target arousal (non-apnea arousal) and…”
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    Conference Proceeding