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Linguistic markers of stance in essay writing: a corpus-based study of EFL student writing

Vijayakumar, Chintalapalli (Springer, 2025-03)

This study aims to understand how novice English foreign language (EFL) writers express their stance and attitude in essay writing using Ken Hyland’s model of stance and engagement (2005). Adopting a corpus-based approach ...

Impersonal subjectivity and aesthetic self in abhinavagupta and nietzsche

Yadav, Anupam (Vishvanatha Kaviraja Institute of Comparative Literature and Aesthetics, 2025)

This paper engages Abhinavagupta and Nietzsche in terms of their views on the classical Sanskrit nāṭya and classical Greek tragedy. Although disparate in their aesthetics and philosophical frameworks, the two thinkers ...

Significance of feminist advocacy practices for sdg 4

Yadav, Anupam (2025-02)

The cherished goals of SDG 4 of ensuring inclusive and equitable quality education and promotion of life-long learning opportunities point to enfranchising the epistemically marginalized. Advocacy of representing, arguing ...

Stochastic diffusivity with time-varying trajectory in mobile molecular communication: performance analysis and channel modeling

Joshi, Sandeep (IEEE, 2025-04)

This work considers a three-dimensional mobile molecular communication (MC) with intra-body disease spread applications. The communicating devices in the considered mobile MC system are point transmitters and passive ...

Nonlinear anisotropic diffusion-based channel estimation in 5G wireless networks

Joshi, Sandeep (IEEE, 2025-03)

In the context of the fifth-generation new radio downlink scenario, we introduce an innovative approach for channel estimation in this paper that circumvents the requirement for the prior dataset. We incorporate anisotropic ...

Redefining channel estimation in underwater acoustic OFDM systems with deep neural network

Joshi, Sandeep (IEEE, 2025-08)

This paper introduces a novel method for channel estimation in underwater acoustic communication in an autonomous underwater vehicular network. The proposed method employs a denoising technique to refine least squares (LS) ...

LPNet: a DNN based latency prediction technique for application mapping in Network-on-Chip design

Sambangi, Ramesh (Elsevier, 2021-11)

Analytical models used for latency estimation of Network-on-Chip (NoC) are not producing reliable accuracy. This makes these analytical models difficult to use in optimization of design space exploration. In this paper, ...

Algorithm and architecture design of random fourier features-based kernel adaptive filters

Sambangi, Ramesh (IEEE, 2022-12)

Numerous real-life systems exhibit complex nonlinear input-output relationships. Kernel adaptive filters, a popular class of nonlinear adaptive filters, can efficiently model these nonlinear input-output relationships. ...

Application mapping onto manycore processor architectures using active search framework

Sambangi, Ramesh (IEEE, 2023-02)

Finding an optimal application mapping solution in a manycore processor is an NP-hard problem. Heuristic search techniques have the advantage of finding near-optimal solutions faster than other methods when mapping large-scale ...

Congestion-aware vertical link placement and application mapping onto 3-D network-on-chip architectures

Sambangi, Ramesh (IEEE, 2024-02)

3-D Network-on-Chip (NoC) technology has emerged as a compelling solution in modern System-on-Chip (SoC) designs. This NoC technology effectively addresses the escalating need for high-performance and energy-efficient ...

Highly sensitive thermal sensor design using a gate-bias-controlled TCR in MoSe2 FET

Rao, V. Ramgopal (IEEE, 2025-05)

Temperature coefficient of resistance (TCR) is an important property for the design of thermal sensors. It is calculated as per the relative shift in electrical resistance for every degree of thermal variation. Furthermore, ...

Residual analysis based neutron-gamma pulses segregation of liquid scintillator detector

Bitragunta, Sainath (IOP, 2025-01)

An innovative residual analysis based method is proposed for pulse shape discrimination and segregation of neutron and gamma pulses of liquid scintillator-based detector (BC501A). This study develops a simple and efficient ...

Gauss-ramanujan functions: constructions, properties, and applications in communications and signal processing

Bitragunta, Sainath (2025-05)

In this article, I construct a new set of functions based on Ramanujan sequences (RSEs), Gaussian pulse (GP), and its delayed Gaussian pulse (DGP). The motivation for this construction is based on the special properties ...

Functional analysis of neutron-gamma pulses and synthetic pulse generation for liquid scintillator

Bitragunta, Sainath (IEEE, 2025-08)

An innovative method is proposed to generate a realistic functional neutron and gamma pulses model for a liquid scintillator-based detector. This approach analyzed neutron and gamma pulse shapes, electronic noise and fit ...

Semi-supervised machine learning technique for neutron-gamma discrimination and generalized approach for figure of merit

Bitragunta, Sainath (IOP, 2025-08)

The discrimination between neutron and gamma radiation pulses is crucial in mixed environment for neutron spectroscopy, particularly in fields such as nuclear science, nuclear safety, environmental monitoring, and radiation ...

Investigation on substrate material for a sensitive flexible piezoresistive pressure sensor

Gupta, Navneet (IEEE, 2025-02)

This study investigates the substrate in flexible piezoresistive pressure sensor (FPPS) for improving the performance of sensors. Initially, we employed the technique for order preference by similarity to ideal solution ...

Design and enhancing performance of lead-free flexible perovskite solar cells: a numerical approach

Gupta, Navneet (IEEE, 2025-02)

Lead-free perovskite materials have emerged as the most feasible option for photovoltaics to address the issue of toxicity and better performance. This study aims to design and enhance the performance of lead-free ...

Design and simulation of energy efficient OLEDS for flexible electronics applications

Gupta, Navneet (IEEE, 2025-05)

Organic Light Emitting Diodes (OLEDs) are a promising technology known for their thin, energy-efficient, and high-quality light emission, making them ideal for displays and lighting applications. Flexible OLEDs, an emerging ...

Optimizing material choices for flexible pressure sensors driven by triboelectric nanogenerators

Gupta, Navneet (IEEE, 2025-04)

This study shows the investigations on optimal dielectric material for self-powered flexible pressure sensors (SPFPSs) based on triboelectric nanogenerators (TENGs) using multiple criteria decision-making (MCDM) methods. ...

DAAS: differential aging-aware STA for precise timing closure with reduced design margin

Mishra, Neeraj (IEEE, 2025-08)

This article introduces DAAS, a Differential Aging-Aware Static Timing Analysis methodology built upon an Effective Current Source Model (ECSM). The primary objective is to achieve precise timing closure for digital ...

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