Risultati ricerca autore :: Library Catalog

1

LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials Autoría: Mishra, Akshansh

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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2

Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing Autoría: Mishra, Akshansh

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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3

Biomimetic Machine Learning approach for prediction of mechanical properties of Additive Friction Stir Deposited Aluminum alloys based walled structures Autoría: Mishra, Akshansh

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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4

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture Autoría: Mishra, Akshansh

Pubblicazione 2024

Fuente: arXiv

Tipo de material: Preprint

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5

Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding Autoría: Mishra, Akshansh

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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6

Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling Autoría: Mishra, Akshansh

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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7

On the Idea of Nested Pressure Space Habitats Autoría: Akshansh Srivastava

Pubblicazione 2026

Fuente: Zenodo

Tipo de material: Recurso digital

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8

Explainable Computer Vision Framework for Automated Pore Detection and Criticality Assessment in Additive Manufacturing Autoría: Mishra, Akshansh, Morisetty, Rakesh

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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9

Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process Autoría: Mishra, Akshansh, Sefene, Eyob Mesele, Thapliyal, Shivraman

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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10

An Intuitionistic Fuzzy Logic Driven UNet architecture: Application to Brain Image segmentation Autoría: Verma, Hanuman, Im, Kiho, Maji, Pranabesh, Gupta, Akshansh

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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11

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation Autoría: Verma, Hanuman, Im, Kiho, Gupta, Akshansh, Tanveer, M.

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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12

Benefits of North Korea's Membership in the New York and ICSID Conventions Autoría: WooJung Jon, Tae Jung Park, Akshansh Singh

Pubblicazione 2024

Fuente: Wiley Open Access

Tipo de material: Artículo Open Access

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13

Optimizing Multilingual Text-To-Speech with Accents & Emotions Autoría: Pawar, Pranav, Dwivedi, Akshansh, Boricha, Jenish, Gohil, Himanshu, Dubey, Aditya

Pubblicazione 2025

Fuente: arXiv

Tipo de material: Preprint

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14

An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation Autoría: Verma, Hanuman, Gupta, Akshansh, Maji, Pranabesh, Mandal, Saurav, Pandey, Vijay Kumar

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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15

AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence Autoría: Lubrano, Kate M., Sayed, Faisal, Rathod, Ankita, Akshansh, Thomas-Smith, Craver Corbyn, Whiting, Mark E., Nguyen, Karina

Pubblicazione 2026

Fuente: arXiv

Tipo de material: Preprint

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LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials Autoría: Mishra, Akshansh

Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing Autoría: Mishra, Akshansh

Biomimetic Machine Learning approach for prediction of mechanical properties of Additive Friction Stir Deposited Aluminum alloys based walled structures Autoría: Mishra, Akshansh

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture Autoría: Mishra, Akshansh

Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding Autoría: Mishra, Akshansh

Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling Autoría: Mishra, Akshansh

On the Idea of Nested Pressure Space Habitats Autoría: Akshansh Srivastava

Explainable Computer Vision Framework for Automated Pore Detection and Criticality Assessment in Additive Manufacturing Autoría: Mishra, Akshansh, Morisetty, Rakesh

Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process Autoría: Mishra, Akshansh, Sefene, Eyob Mesele, Thapliyal, Shivraman

An Intuitionistic Fuzzy Logic Driven UNet architecture: Application to Brain Image segmentation Autoría: Verma, Hanuman, Im, Kiho, Maji, Pranabesh, Gupta, Akshansh

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation Autoría: Verma, Hanuman, Im, Kiho, Gupta, Akshansh, Tanveer, M.

Benefits of North Korea's Membership in the New York and ICSID Conventions Autoría: WooJung Jon, Tae Jung Park, Akshansh Singh

Optimizing Multilingual Text-To-Speech with Accents & Emotions Autoría: Pawar, Pranav, Dwivedi, Akshansh, Boricha, Jenish, Gohil, Himanshu, Dubey, Aditya

An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation Autoría: Verma, Hanuman, Gupta, Akshansh, Maji, Pranabesh, Mandal, Saurav, Pandey, Vijay Kumar

AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence Autoría: Lubrano, Kate M., Sayed, Faisal, Rathod, Ankita, Akshansh, Thomas-Smith, Craver Corbyn, Whiting, Mark E., Nguyen, Karina

Risultati della ricerca - Akshansh

LatticeML: A data-driven application for predicting the effective Young Modulus of high temperature graph based architected materials Autoría: Mishra, Akshansh

Machine Learning-Driven Optimization of TPMS Architected Materials Using Simulated Annealing Autoría: Mishra, Akshansh

Biomimetic Machine Learning approach for prediction of mechanical properties of Additive Friction Stir Deposited Aluminum alloys based walled structures Autoría: Mishra, Akshansh

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture Autoría: Mishra, Akshansh

Atomistic Simulation Guided Convolutional Neural Networks for Thermal Modeling of Friction Stir Welding Autoría: Mishra, Akshansh

Geometric and Topological Deep Learning for Predicting Thermo-mechanical Performance in Cold Spray Deposition Process Modeling Autoría: Mishra, Akshansh

On the Idea of Nested Pressure Space Habitats Autoría: Akshansh Srivastava

Explainable Computer Vision Framework for Automated Pore Detection and Criticality Assessment in Additive Manufacturing Autoría: Mishra, Akshansh, Morisetty, Rakesh

Evolutionary computing-based image segmentation method to detect defects and features in Additive Friction Stir Deposition Process Autoría: Mishra, Akshansh, Sefene, Eyob Mesele, Thapliyal, Shivraman

An Intuitionistic Fuzzy Logic Driven UNet architecture: Application to Brain Image segmentation Autoría: Verma, Hanuman, Im, Kiho, Maji, Pranabesh, Gupta, Akshansh

A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation Autoría: Verma, Hanuman, Im, Kiho, Gupta, Akshansh, Tanveer, M.

Benefits of North Korea's Membership in the New York and ICSID Conventions Autoría: WooJung Jon, Tae Jung Park, Akshansh Singh

Optimizing Multilingual Text-To-Speech with Accents & Emotions Autoría: Pawar, Pranav, Dwivedi, Akshansh, Boricha, Jenish, Gohil, Himanshu, Dubey, Aditya

An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation Autoría: Verma, Hanuman, Gupta, Akshansh, Maji, Pranabesh, Mandal, Saurav, Pandey, Vijay Kumar

AttuneBench: A Conversation-Based Benchmark for LLM Emotional Intelligence Autoría: Lubrano, Kate M., Sayed, Faisal, Rathod, Ankita, Akshansh, Thomas-Smith, Craver Corbyn, Whiting, Mark E., Nguyen, Karina

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