Search Results - "Chandra, R."

Methane production from lignocellulosic agricultural crop wastes: A review in context to second generation of biofuel production by Chandra, R., Takeuchi, H., Hasegawa, T.

“…The aim of this paper is to present a comprehensive review on renewable methane fuel production through the biological route of biomethanation process from…”
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Investigating objective and subjective factors influencing the adoption, frequency, and characteristics of ride-hailing trips by Lavieri, Patrícia S., Bhat, Chandra R.

“…•Tech-savviness is the strongest psycho-social predictor of ride-hailing adoption.•Privacy-sensitivity the main psycho-social deterrent to pooled ride-hailing…”
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The maximum approximate composite marginal likelihood (MACML) estimation of multinomial probit-based unordered response choice models by Bhat, Chandra R.

“…► Proposes a new maximum approximated composite marginal likelihood (MACML) approach. ► The approach is simulation-free and easy to implement. ► Can be used to…”
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A closed-form multiple discrete-count extreme value (MDCNTEV) model by Bhat, Chandra R.

“…•A new two-stage budgeting multiple discrete-count model is proposed.•Alternative processes are identified for multivariate count choices.•Using reverse-Gumbel…”
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Catalytic C–C Bond-Forming Multi-Component Cascade or Domino Reactions: Pushing the Boundaries of Complexity in Asymmetric Organocatalysis by Volla, Chandra M. R, Atodiresei, Iuliana, Rueping, Magnus

“…Volla et al examine catalytic C-C bond-forming multi-component cascade or domino reactions with regard to pushing the boundaries of complexity in asymmetric…”
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Can Dynamic TDD Enabled Half-Duplex Cell-Free Massive MIMO Outperform Full-Duplex Cellular Massive MIMO? by Chowdhury, Anubhab, Chopra, Ribhu, Murthy, Chandra R.

“…We consider a dynamic time division duplex (DTDD) enabled cell-free massive multiple-input multiple-output (CF-mMIMO) system, where each half-duplex (HD)…”
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Machine Learning in the Air by Gunduz, Deniz, de Kerret, Paul, Sidiropoulos, Nicholas D., Gesbert, David, Murthy, Chandra R., van der Schaar, Mihaela

“…Thanks to the recent advances in processing speed, data acquisition and storage, machine learning (ML) is penetrating every facet of our lives, and…”
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eDoctor: machine learning and the future of medicine by Handelman, G. S., Kok, H. K., Chandra, R. V., Razavi, A. H., Lee, M. J., Asadi, H.

“…Machine learning (ML) is a burgeoning field of medicine with huge resources being applied to fuse computer science and statistics to medical problems…”
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Modeling individuals’ willingness to share trips with strangers in an autonomous vehicle future by Lavieri, Patrícia S., Bhat, Chandra R.

“…•Interest in using travel time productively is encouraging the use of ride-hailing.•Presence of strangers is less burdensome in a commute trip than in a…”
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Hydrothermal pretreatment of rice straw biomass: A potential and promising method for enhanced methane production by Chandra, R., Takeuchi, H., Hasegawa, T.

“…►Hydrothermal pretreatment offer accelerated pre-hydrolysis of rice straw biomass. ► 5% NaOH addition is a mandatory requirement in rice straw hydrothermal…”
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A new closed-form two-stage budgeting-based multiple discrete-continuous model by Bhat, Chandra R.

“…•A new multiple two-stage budgeting discrete-continuous model is proposed.•A new minLogistic distribution is formally introduced and its properties…”
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Flavonoids: an overview by Panche, A. N., Diwan, A. D., Chandra, S. R.

“…Flavonoids, a group of natural substances with variable phenolic structures, are found in fruits, vegetables, grains, bark, roots, stems, flowers, tea and…”
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Analytic methods in accident research: Methodological frontier and future directions by Mannering, Fred L., Bhat, Chandra R.

“…The analysis of highway-crash data has long been used as a basis for influencing highway and vehicle designs, as well as directing and implementing a wide…”
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Improving biodegradability and biogas production of wheat straw substrates using sodium hydroxide and hydrothermal pretreatments by Chandra, R., Takeuchi, H., Hasegawa, T., Kumar, R.

“…This paper presents the results of an experimental methane fermentation study on untreated, NaOH and hydrothermal pretreated substrates of wheat straw…”
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Performance Analysis of Intelligent Reflecting Surface Assisted Opportunistic Communications by Yashvanth, L., Murthy, Chandra R.

“…Intelligent reflecting surfaces (IRSs) are a promising technology for enhancing coverage and spectral efficiency, both in the sub-6 GHz and the millimeter wave…”
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Big data, traditional data and the tradeoffs between prediction and causality in highway-safety analysis by Mannering, Fred, Bhat, Chandra R., Shankar, Venky, Abdel-Aty, Mohamed

“…•Prediction and causality tradeoffs are considered.•Four distinct modeling approaches to safety data evaluated.•Concerns with using data from observed…”
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A new flexible multiple discrete–continuous extreme value (MDCEV) choice model by Bhat, Chandra R.

“…•Proposes a new flexible MDC model breaking the tight linkage between discrete and continuous choices.•Develops a closed-form model for our new utility-based…”
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Joint Channel Estimation and Data Detection in MIMO-OFDM Systems: A Sparse Bayesian Learning Approach by Prasad, Ranjitha, Murthy, Chandra R., Rao, Bhaskar D.

“…The impulse response of wireless channels between the Nt transmit and Nr receive antennas of a MIMO-OFDM system are group approximately sparse (ga-sparse),…”
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On the Support Recovery of Jointly Sparse Gaussian Sources via Sparse Bayesian Learning by Khanna, Saurabh, Murthy, Chandra R.

“…In this work, we provide non-asymptotic, probabilistic guarantees for successful recovery of the common nonzero support of jointly sparse Gaussian sources in…”
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Impact of Subcarrier Allocation and User Mobility on the Uplink Performance of Multiuser Massive MIMO-OFDM Systems by Anand, Abhinav, Murthy, Chandra R.

“…This paper considers the uplink performance of a multi-user massive multiple-input multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM)…”
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