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🔍 harshitha menon 📂 Engineering
Showing 20 results for "harshitha menon" in Engineering
Engineering Preprint PDF DOI

Harnessing Chaotic Signals for Wireless Information and Power Transfer

Priyadarshi Mukherjee, Constantinos Psomas, Ioannis Krikidis · 2025

Chaotic dynamical systems have attracted considerable attention due to their inherent randomness and high sensitivity to initial conditions, which makes them ideal for secure wireless communications. …

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Engineering Preprint PDF DOI

Contact-Rich Robotic Assembly in Construction via Diffusion Policy Learning

Salma Mozaffari, Daniel Ruan, William van den Bogert, Nima Fazeli, Sigrid Adriaenssens, Arash Adel · 2025

Fabrication uncertainty arising from tolerance accumulation, material imperfection, and positioning errors remains a critical barrier to automated robotic assembly in construction, particularly for co…

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Engineering Preprint PDF DOI

Chlorophyll-a Mapping and Prediction in the Mar Menor Lagoon Using C2RCC-Processed Sentinel 2 Imagery

Antonio Martinez-Ibarra, Aurora Gonzalez-Vidal, Adrian Canovas-Rodriguez, Antonio F. Skarmeta · 2025

The Mar Menor, Europe's largest hypersaline coastal lagoon, located in southeastern Spain, has undergone severe eutrophication crises, with devastating impacts on biodiversity and water quality. Monit…

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Engineering Preprint PDF DOI

Physics-Informed Unit Commitment Framework for Nuclear Reactors

Shiny Choudhury, Michael Davidson, George Tynan · 2025

Nuclear reactors are often modeled as inflexible baseload generators with fixed downtimes and restrictive ramping constraints. In practice, however, a reactor's operational flexibility is closely tied…

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Engineering Preprint PDF DOI

Nuclear Microreactor Control with Deep Reinforcement Learning

Leo Tunkle, Kamal Abdulraheem, Linyu Lin, Majdi I. Radaideh · 2025

The economic feasibility of nuclear microreactors will depend on minimizing operating costs through advancements in autonomous control, especially when these microreactors are operating alongside othe…

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Engineering Preprint PDF DOI

From Images to Insights: Transforming Brain Cancer Diagnosis with Explainable AI

Md. Arafat Alam Khandaker, Ziyan Shirin Raha, Salehin Bin Iqbal, M.F. Mridha, Jungpil Shin · 2025

Brain cancer represents a major challenge in medical diagnostics, requisite precise and timely detection for effective treatment. Diagnosis initially relies on the proficiency of radiologists, which c…

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Engineering Preprint PDF DOI

TopoCellGen: Generating Histopathology Cell Topology with a Diffusion Model

Meilong Xu, Saumya Gupta, Xiaoling Hu, Chen Li, Shahira Abousamra, Dimitris Samaras, Prateek Prasanna, Chao Chen · 2024

Accurately modeling multi-class cell topology is crucial in digital pathology, as it provides critical insights into tissue structure and pathology. The synthetic generation of cell topology enables r…

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Engineering Preprint PDF DOI

Optimization and Simulation of Startup Control for Space Nuclear Power Systems with Closed Brayton Cycle based on NuHeXSys

Chengyuan Li, Leran Guo, Shanfang Huang, Jian Deng · 2024

This paper presents the development and optimization of a Space Nuclear Power System (SNPS) utilizing a helium-xenon gas-cooled Closed Brayton Cycle (CBC). A comprehensive dynamic system analysis code…

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Engineering Preprint PDF DOI

Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss

Jiahua Li, James T. Grist, Fergus V. Gleeson, Bart{l}omiej W. Papiez · 2024

Long COVID is characterized by persistent symptoms, particularly pulmonary impairment, which necessitates advanced imaging for accurate diagnosis. Hyperpolarised Xenon-129 MRI (XeMRI) offers a promisi…

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Engineering Preprint PDF DOI

Chaotic properties of an FIR filtered H\'enon map

Vinicius S. Borges, Magno T. M. Silva, Marcio Eisencraft · 2024

When chaotic signals are used in practical communication systems, it is essential to control and eventually limit the spectral bandwidth occupied by these signals. One way to achieve this goal is to i…

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Engineering Preprint PDF DOI

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency

Meilong Xu, Xiaoling Hu, Saumya Gupta, Shahira Abousamra, Chao Chen · 2023

In digital pathology, segmenting densely distributed objects like glands and nuclei is crucial for downstream analysis. Since detailed pixel-wise annotations are very time-consuming, we need semi-supe…

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Engineering Preprint PDF DOI

An Adaptive Overcurrent Protection for Solar-based DC Microgrids Using IEC 61850

Saeed Sanati, Maher Azzouz, Ahmed Awad · 2023

Over-Current (OC) protection is one of the pervasive protections in solar-based DC microgrids. Fast operation is a key advantage of its popularity. On the other hand, utilizing OC in DC microgrids has…

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Engineering Preprint PDF DOI

Convolution channel separation and frequency sub-bands aggregation for music genre classification

Jungwoo Heo, Hyun-seo Shin, Ju-ho Kim, Chan-yeong Lim, Ha-Jin Yu · 2022

In music, short-term features such as pitch and tempo constitute long-term semantic features such as melody and narrative. A music genre classification (MGC) system should be able to analyze these fea…

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Engineering Preprint PDF DOI

Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier

Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ankan Mullick · 2022

In real world scenarios, out-of-distribution (OOD) datasets may have a large distributional shift from training datasets. This phenomena generally occurs when a trained classifier is deployed on varyi…

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Engineering Preprint PDF DOI

Data-driven Stabilization of Discrete-time Control-affine Nonlinear Systems: A Koopman Operator Approach

Subhrajit Sinha, Sai Pushpak Nandanoori, Jan Drgona, Draguna Vrabie · 2022

In recent years data-driven analysis of dynamical systems has attracted a lot of attention and transfer operator techniques, namely, Perron-Frobenius and Koopman operators are being used almost ubiqui…

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Engineering Preprint PDF DOI

Multi-dimensional Lorenz-Based Chaotic Waveforms for Wireless Power Transfer

Priyadarshi Mukherjee, Constantinos Psomas, Ioannis Krikidis · 2021

In this paper, we investigate multi-dimensional chaotic signals with respect to wireless power transfer (WPT). Specifically, we analyze a multi-dimensional Lorenz-based chaotic signal under a WPT fram…

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Engineering Preprint PDF DOI

Deep-learning-based Hyperspectral imaging through a RGB camera

Xinyu Gao, Tianlang Wang, Jing Yang, Jinchao Tao, Yanqing Qiu, Yanlong Meng, Banging Mao, Pengwei Zhou, Yi Li · 2021

Hyperspectral image (HSI) contains both spatial pattern and spectral information which has been widely used in food safety, remote sensing, and medical detection. However, the acquisition of hyperspec…

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Engineering Preprint PDF DOI

Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model

Daniel Leite, Pedro Coutinho, Iury Bessa, Murilo Camargos, Luiz Cordovil Junior, Reinaldo Palhares · 2021

We present a method for incremental modeling and time-varying control of unknown nonlinear systems. The method combines elements of evolving intelligence, granular machine learning, and multi-variable…

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Engineering Preprint PDF DOI

Mobility and Science operations On An Asteroid Using a Hopping Small Spacecraft on Stilts

H. Kalita, S. Schwartz, E. Asphaug, J. Thangavelautham · 2018

There are thousands of asteroids in near-Earth space and millions in the Main Belt. They are diverse in physical properties and composition and are time capsules of the early solar system. This makes …

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Engineering Preprint PDF DOI

Brain Emotional Learning-Based Prediction Model (For Long-Term Chaotic Prediction Applications)

Mahboobeh Parsapoor · 2016

This study suggests a new prediction model for chaotic time series inspired by the brain emotional learning of mammals. We describe the structure and function of this model, which is referred to as BE…

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