Search Results - "Iyengar, S. S."

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    Searching for the IoT Resources: Fundamentals, Requirements, Comprehensive Review, and Future Directions by Pattar, Santosh, Buyya, Rajkumar, Venugopal, K. R., Iyengar, S. S., Patnaik, L. M.

    Published in IEEE Communications surveys and tutorials (01-01-2018)
    “…Internet of Things (IoT) paradigm links physical objects in the real world to cyber world and enables the creation of smart environments and applications. A…”
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    Authentic self-expression on social media is associated with greater subjective well-being by Bailey, Erica R., Matz, Sandra C., Youyou, Wu, Iyengar, Sheena S.

    Published in Nature communications (06-10-2020)
    “…Social media users face a tension between presenting themselves in an idealized or authentic way. Here, we explore how prioritizing one over the other impacts…”
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    Morality-Based Assertion and Homophily on Social Media: A Cultural Comparison Between English and Japanese Languages by Singh, Maneet, Kaur, Rishemjit, Matsuo, Akiko, Iyengar, S R S, Sasahara, Kazutoshi

    Published in Frontiers in psychology (05-11-2021)
    “…Moral psychology is a domain that deals with moral identity, appraisals and emotions. Previous work has primarily focused on moral development and the…”
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    Born to choose: the origins and value of the need for control by Leotti, Lauren A, Iyengar, Sheena S, Ochsner, Kevin N

    Published in Trends in cognitive sciences (01-10-2010)
    “…Belief in one's ability to exert control over the environment and to produce desired results is essential for an individual's wellbeing. It has repeatedly been…”
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    The Mere Categorization Effect: How the Presence of Categories Increases Choosers’ Perceptions of Assortment Variety and Outcome Satisfaction by Mogilner, Cassie, Rudnick, Tamar, Iyengar, Sheena S.

    Published in The Journal of consumer research (01-08-2008)
    “…What is the effect of option categorization on choosers’ satisfaction? A combination of field and laboratory experiments reveals that the mere presence of…”
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    Node-weighted centrality: a new way of centrality hybridization by Singh, Anuj, Singh, Rishi Ranjan, Iyengar, S. R. S.

    Published in Computational social networks (13-11-2020)
    “…Centrality measures have been proved to be a salient computational science tool for analyzing networks in the last two to three decades aiding many problems in…”
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    Distributed Bayesian algorithms for fault-tolerant event region detection in wireless sensor networks by Krishnamachari, B., Iyengar, S.

    Published in IEEE transactions on computers (01-03-2004)
    “…We propose a distributed solution for a canonical task in wireless sensor networks - the binary detection of interesting environmental events. We explicitly…”
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    HiRecS: A Hierarchical Contextual Location Recommendation System by Baral, Ramesh, Iyengar, S. S., Zhu, Xiaolong, Li, Tao, Sniatala, Pawel

    “…The point-of-interest (POI) recommender exploits check-in information from location-based social networks (LBSNs) to recommend POIs that match user…”
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    Online Interactive Collaborative Filtering Using Multi-Armed Bandit with Dependent Arms by Wang, Qing, Zeng, Chunqiu, Zhou, Wubai, Li, Tao, Iyengar, S. S., Shwartz, Larisa, Grabarnik, Genady Ya

    “…Online interactive recommender systems strive to promptly suggest users appropriate items (e.g., movies and news articles) according to the current context…”
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    A Novel Robust Detection Algorithm for Spectrum Sensing by Lu Lu, Hsiao-Chun Wu, Iyengar, S S

    “…In this paper, the DTV (digital television) spectrum sensing problem is studied, which plays a key role in the cognitive radio. In contrast to the existing…”
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    Communication lower-bounds for distributed-memory computations for mass spectrometry based omics data by Saeed, Fahad, Haseeb, Muhammad, Iyengar, S.S.

    “…•We present a theoretical framework that can be used for analyzing, and quantifying the performance of parallel algorithms designed for MS based omics data.•We…”
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    A randomized controlled trial of duloxetine in diabetic peripheral neuropathic pain by WERNICKE, J. F, PRITCHETT, Y. L, D'SOUZA, D. N, WANINGER, A, TRAN, P, IYENGAR, S, RASKIN, J

    Published in Neurology (24-10-2006)
    “…Serotonin (5-HT) and norepinephrine (NE) are involved in pain modulation via descending inhibitory pathways in the brain and spinal cord. To assess the…”
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    When Choice is Demotivating: Can One Desire Too Much of a Good Thing? by Iyengar, Sheena S, Lepper, Mark R

    “…Current psychological theory and research affirm the positive affective and motivational consequences of having personal choice. These findings have led to the…”
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    Choice proliferation, simplicity seeking, and asset allocation by Iyengar, Sheena S., Kamenica, Emir

    Published in Journal of public economics (01-08-2010)
    “…In settings such as investing for retirement or choosing a drug plan, individuals typically face a large number of options. In this paper, we analyze how the…”
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    Rethinking the Value of Choice: A Cultural Perspective on Intrinsic Motivation by Iyengar, Sheena S, Lepper, Mark R

    “…Conventional wisdom and decades of psychological research have linked the provision of choice to increased levels of intrinsic motivation, greater persistence,…”
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    Intrinsic and Extrinsic Motivational Orientations in the Classroom: Age Differences and Academic Correlates by Lepper, Mark R, Corpus, Jennifer Henderlong, Iyengar, Sheena S

    Published in Journal of educational psychology (01-05-2005)
    “…Age differences in intrinsic and extrinsic motivation and the relationships of each to academic outcomes were examined in an ethnically diverse sample of 797…”
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    Mini-Batch Normalized Mutual Information: A Hybrid Feature Selection Method by Thejas, G. S., Joshi, Sajal Raj, Iyengar, S. S., Sunitha, N. R., Badrinath, Prajwal

    Published in IEEE access (2019)
    “…Feature Selection has been a significant preprocessing procedure for classification in the area of Supervised Machine Learning. It is mostly applied when the…”
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    Metric and Accuracy Ranked Feature Inclusion: Hybrids of Filter and Wrapper Feature Selection Approaches by Thejas, G. S., Garg, Rameshwar, Iyengar, S. S., Sunitha, N. R., Badrinath, Prajwal, Chennupati, Shasank

    Published in IEEE access (2021)
    “…Feature selection has emerged as a craft, using which we boost the performance of our learning model. Feature or Attribute Selection is a data preprocessing…”
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