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Category:All HeadlinesWorld & GeopoliticsMarkets & EconomyTech & AIPoliticsSearch results for: "Composite Active Learning" (30 stories)

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EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution
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4d ago

EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution

<a href="https://news.google.com/rss/articles/CBMiUEFVX3lxTE5MU0ZncjQ3RmNnNVdhQngxOFRCQ190LTFuLWdDZno4UTIwSE55RWpMdHN1LU9EWUliZXg1ZjljOEZQZUdNRE5NVzhnbFhRUHBy?oc=5" target="_blank">EmbodiedRSI: Active Continual Robot Learning Through Hypothesis-Guided Co-Evolution</a>  <font color="#6f6f6f">alphaXiv</font>

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Search Results for "Composite Active Learning"

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29 stories displayed
Improved deep reinforcement learning controls anti-lock braking via electro-hydraulic composite systems in in-wheel motor-driven electric vehicles
Naturegeneral

Improved deep reinforcement learning controls anti-lock braking via electro-hydraulic composite systems in in-wheel motor-driven electric vehicles

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE15Z2F5NVE1a2xHM01qTU56RVdZR2ZMZmhpc0RvM1kzSDZzSHRucjR3bGRKMjJodnVnbmZRMmVadGdrYUF4MVlZQkk2eGk3VWhtQzdJdGt1bXJjd0NSUThr?oc=5" target="_blank">Improved deep reinforcement learning controls anti-lock braking via electro-hydraulic composite systems in in-wheel motor-driven electric vehicles</a>  <font color="#6f6f6f">Nature</font>

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Metal ceramics under AI control: A new approach for calculating the mechanical properties of materials
Phys.orgtech

Metal ceramics under AI control: A new approach for calculating the mechanical properties of materials

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTE9lYXVjd19lcG1YeGFlOF9McERVeE9DS1RFNlhmakxpWVBwU1MyQzN4akJaS01SQ3pfNk45WEY1RGZnT0JQbkQ4MzdFUkc4OGI1b2xsMTYwS3FyQnQ5RFhaRl9xeW9uWXFia2hYZlNiTVlMWXRZUWRkMmNRbTY?oc=5" target="_blank">Metal ceramics under AI control: A new approach for calculating the mechanical properties of materials</a>  <font color="#6f6f6f">Phys.org</font>

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Hierarchical meta-reinforcement learning via automated macro-action discovery
Naturegeneral

Hierarchical meta-reinforcement learning via automated macro-action discovery

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE54Nm9oTl94b2RYUkN3UERzUlBDSUJQckVBSDRHYUZOUDBEbEVDaGhzd0tfUFpWYTRpSlZZbGxESmhBVDFpSXpiR0Y2cGhhVmFPVE9Qcy1CdlFKeUs3dkhN?oc=5" target="_blank">Hierarchical meta-reinforcement learning via automated macro-action discovery</a>  <font color="#6f6f6f">Nature</font>

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Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees
The Association for the Advancement of Artificial Intelligencetech

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE4tLWtqdGh5bk4wbXNfTzVMXzZBLW11eWloQzJiY19GQ3RLaS1XbjYzYVV4UnEtbVFJX2VsS3RkRnRmLTNZeEZQZ0xpMEFXWHl0cVVwbVd1UVNHdDBwV255d2xyeDI?oc=5" target="_blank">Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Education leaders urge cross-sector action to reverse PH learning crisis
Inquirer.netgeneral

Education leaders urge cross-sector action to reverse PH learning crisis

<a href="https://news.google.com/rss/articles/CBMirwFBVV95cUxPa2xPSnZDT3R3dGZfSE90ODRTVkhqcWlDZEdndmsyVWFGSDlZV3Vad3RUWjBEUnMzTEx1WlJlVGlFakdJaVJiNTBSUDBBQS11UDNjT3NxWEdRWXBSek1VUzA1ekVxUnhOWDZaOHVHR2V3MmhnRlljOFpFNVF4eWp4a3RVZmN6QzBfdGFCbHd2VUFVMzAxRUlQSVFoV01vT0w0NWR6WmVGWTA0X0d1eFEw0gG0AUFVX3lxTE5vU2FSRlB5amh6YS1HX24xaXZpbWNRekN3SUxDOWlIaFFZdm9adTBaLTJqckdsUEdzNml5M3BpaWE4ZUExYXlzdFoyM1J6ODZramtFTzJrSTViN2JfRnJZUnN6a1ZPNVpadUUxMEphVzNOcTlXX2lJYXZfWU55NmpiT0piMGsxVFZXNGxxLW9YVE9mUXFMRDIxN2VDUnQzdE9XNHpRWUNENjU0ZUF2TjdhdEczYQ?oc=5" target="_blank">Education leaders urge cross-sector action to reverse PH learning crisis</a>  <font color="#6f6f6f">Inquirer.net</font>

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Machine learning approach for mechanical property assessment of industrial waste-filled epoxy–jute composites
Naturegeneral

Machine learning approach for mechanical property assessment of industrial waste-filled epoxy–jute composites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4wMHRudkwxYVBPQWk1LS1QVFU4Z3IwM0Z6Ukl0dWZMU0o5NDFkVDN3dnF4TExmNkxibGNYUGtZck51VDV1MjBTd2pZS21NekI0NGpkUGg2Zl9CZHJDQmFF?oc=5" target="_blank">Machine learning approach for mechanical property assessment of industrial waste-filled epoxy–jute composites</a>  <font color="#6f6f6f">Nature</font>

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Machine Learning-Assisted Inverse Design of 3D Shape Morphing in Liquid Crystal Elastomer Composite Strips
Wiley & Sonsgeneral

Machine Learning-Assisted Inverse Design of 3D Shape Morphing in Liquid Crystal Elastomer Composite Strips

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTFBWdjAyYVI0Rk9oODRzX3lmNTg4cGhJbFp6eHE4eDVPLXZMZmZ6UmNjcTZwSWNxTjYxRUZjdXdsVElzZUV1QnRqWENDYzlrZW0yTk5YYUlOTU9wVmh2VG00Y0wxM3JRRHM5NGpPcnI4a2dtdGRuRXRTXzB0OTQ?oc=5" target="_blank">Machine Learning-Assisted Inverse Design of 3D Shape Morphing in Liquid Crystal Elastomer Composite Strips</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach
The Association for the Advancement of Artificial Intelligenceworld

Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach

<a href="https://news.google.com/rss/articles/CBMiZEFVX3lxTE04bE1mRDRhaFFDU3BSbk01QVgyeVJ2TnVLTXYtXzFTT1pOTGVKSFA4TXotNnowTHh1WTdsWmE5UXdqbVFINUxPdk1iMGg2Q3pQTFpUQlptMVhYRTRsLUF3SU1rQ2I?oc=5" target="_blank">Uncovering Bias Paths with LLM-guided Causal Discovery: An Active Learning and Dynamic Scoring Approach</a>  <font color="#6f6f6f">The Association for the Advancement of Artificial Intelligence</font>

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Biochar-based composite drives sulfadiazine sequestration and mitigates active resistome risks
Naturegeneral

Biochar-based composite drives sulfadiazine sequestration and mitigates active resistome risks

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFA2cTNNSWVZVEt4ajB2NlNmWENRVTB0d3pqZXlKamhEOHlwZlJpT1g0MXBRZWZtRGk4eDhiZDF6ZzZHbktmU0FIOGphWGEydWJURjlEbjduWXNFYWNPQXNn?oc=5" target="_blank">Biochar-based composite drives sulfadiazine sequestration and mitigates active resistome risks</a>  <font color="#6f6f6f">Nature</font>

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Active Learning for Data‐Efficient Optimization of Entangled Granular Metamaterials
Wiley & Sonsgeneral

Active Learning for Data‐Efficient Optimization of Entangled Granular Metamaterials

<a href="https://news.google.com/rss/articles/CBMid0FVX3lxTE5FTUloRzVkbk1EZ2Mta3lDOVlDSWRuOUhVZFluOTRGMXJGSmtTMmVYMGh0LUdDclVQUjdCVTVkVHk1Nk5wc3FmaWthNTRmcXRfMFA3VmE5WDdva2VxX0VRVExKRENkWTJuRWZfeU51V2hmNkVrM3R3?oc=5" target="_blank">Active Learning for Data‐Efficient Optimization of Entangled Granular Metamaterials</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface
Naturegeneral

Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9iRjBHZDJYUlBoNmVkVkV1RWY1VVV6bEFuR0dJbE1weEhPSzlsUU1VM3BtWDA5YktUclEwblppbVhhMFZCc3dhaU93bTlicS1tUnc2WHV2Skk1dk5EckpJ?oc=5" target="_blank">Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface</a>  <font color="#6f6f6f">Nature</font>

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A process-synergistic active learning framework for high-strength Al-Si alloys design
Naturegeneral

A process-synergistic active learning framework for high-strength Al-Si alloys design

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9Eb2xqLUp3SnFXUzRwTDdHWVp5U3hSU3RaV0t4N2RucDFjSE1sNjl1SFRxNHdGSTYtbUEzTzl4bjd3RGY0V0ltSnptemRHMEFfZk5BbGZVdHpIZFdyWFdJ?oc=5" target="_blank">A process-synergistic active learning framework for high-strength Al-Si alloys design</a>  <font color="#6f6f6f">Nature</font>

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Active-learning-guided optimization of cell-free systems for genome-wide transcriptomic profiling reveals progressive layers of regulation
Naturegeneral

Active-learning-guided optimization of cell-free systems for genome-wide transcriptomic profiling reveals progressive layers of regulation

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE4yYklacElaSVpseTR1WUdtblFORjFPM1FIV1ljdUJBb0JtLVVCT3FiVmlIQkFNUUVYek9EZEZVSy03NVZPekdZeVpNODZrbk9LVXNzbkNtSU5ZYjgxVDI0?oc=5" target="_blank">Active-learning-guided optimization of cell-free systems for genome-wide transcriptomic profiling reveals progressive layers of regulation</a>  <font color="#6f6f6f">Nature</font>

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Machine learning-enabled inverse design of bioinspired layered composite structures with maximum auxetic performance
Naturegeneral

Machine learning-enabled inverse design of bioinspired layered composite structures with maximum auxetic performance

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBvY1kxd3RvUVdGT0pEb3BLQUhkZ1U3TEN5Ylh2OFhBNDc5Q0s3MFhHNFFKYnF3UjNRWkM2NjFvX0VmNnZOZWlkeGkxOUtKRXhtM3hWRlRrekltOVNmbUpJ?oc=5" target="_blank">Machine learning-enabled inverse design of bioinspired layered composite structures with maximum auxetic performance</a>  <font color="#6f6f6f">Nature</font>

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Unlocking enhanced thermal conductivity in polymer blends through active learning
Natureworld

Unlocking enhanced thermal conductivity in polymer blends through active learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9QQXE5NVhuVTlKcEJhcEpEb2J3clRHLV8tLWh5NnJKRG9peHVHTG1vV0NkbGhDaHVVRTcwWVgxazRUcEJsdUFxeHUwRlp1ZVFydVY5SEVlWXppOVpqbGxj?oc=5" target="_blank">Unlocking enhanced thermal conductivity in polymer blends through active learning</a>  <font color="#6f6f6f">Nature</font>

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Machine learning-enabled forward prediction and inverse design of 4D-printed active plates
Naturegeneral

Machine learning-enabled forward prediction and inverse design of 4D-printed active plates

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE13SElYQUZzcnpfLUc3Z3BMSU9TZWw1ZW51d3FJU0tfbEpxTmppeU5YNVVOM3d3STN4RUVQVFpSXzN2Wm9FM3Ayd0JZaDZ0ZlZyRmE5TXhqaE5SN2wwTnEw?oc=5" target="_blank">Machine learning-enabled forward prediction and inverse design of 4D-printed active plates</a>  <font color="#6f6f6f">Nature</font>

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Mathematical modeling of adaptive information security strategies using composite behavior models
Naturegeneral

Mathematical modeling of adaptive information security strategies using composite behavior models

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBfMDFYYVZzUUhZc20tSlNJZ0Z5T1RvZWpUb3RldVlpSkxWVUl5TklxUVF3UFVoRkF5aF9pYUVHMldHNzE5N0pXMkM0N0dJS0hpTmpNWFZHOVFQZzhyUUNv?oc=5" target="_blank">Mathematical modeling of adaptive information security strategies using composite behavior models</a>  <font color="#6f6f6f">Nature</font>

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Deep learning for property prediction of natural fiber polymer composites
Naturegeneral

Deep learning for property prediction of natural fiber polymer composites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1ldXhyUnAzQVBPWkVURjF0d3E1bndVMktGaW9Qbkl5dGxhR2VrbXdMQ0tjSTc2djlWak9wZ0UwMmNrWUNSZ3FsTFdiM1VQTG45TzlGa3ZTRmU2ci1WdUk0?oc=5" target="_blank">Deep learning for property prediction of natural fiber polymer composites</a>  <font color="#6f6f6f">Nature</font>

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Ensemble machine learning-based sensitivity and parametric assessment of headed stud shear connectors behavior in composite construction
Naturegeneral

Ensemble machine learning-based sensitivity and parametric assessment of headed stud shear connectors behavior in composite construction

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBjRV8wWVJLN1JJYVJoLVVxNnV5Q3VoNXVkU1lmTXBRcVBZZkNueE9iYndGS2g2bjJEdlhmOXljX1JVbzlOZXRtWmlrS0o3OXZ4cWZYOUZ2THpnU0tlMEw0?oc=5" target="_blank">Ensemble machine learning-based sensitivity and parametric assessment of headed stud shear connectors behavior in composite construction</a>  <font color="#6f6f6f">Nature</font>

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Unveiling bootstrap uncertainty bias: understanding bagging efficiency over Gaussian processes in materials active learning
Naturetech

Unveiling bootstrap uncertainty bias: understanding bagging efficiency over Gaussian processes in materials active learning

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTFBUelgzWnQwcW1GU1BERDJ3dXRDVTA4ajJnaXV6c1FPU2JUeVhldFVOeUZ1VmVlTUs5R1hMdVpKV2FFeF9LbGdPSzRMbnZqd0NsWG5FMGtaQTBzWFFlZXpJ?oc=5" target="_blank">Unveiling bootstrap uncertainty bias: understanding bagging efficiency over Gaussian processes in materials active learning</a>  <font color="#6f6f6f">Nature</font>

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Fast Reverse Design of 4D-Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm
Wiley & Sonsgeneral

Fast Reverse Design of 4D-Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm

<a href="https://news.google.com/rss/articles/CBMidkFVX3lxTE0tZnlKMkRGOHFOR3BCZHgzY0tYZGEtU2V3REt3cGhOcnhZYktGRFZpbGFnZGh4eVlGM0xIZmx1OTlOaGtxTnBnTkx3emMxX3NXYlJMdDMzNGRRVnVRcHFYZVJHZlZvVG1TZHNtTUt0UzFXNV95MWc?oc=5" target="_blank">Fast Reverse Design of 4D-Printed Voxelized Composite Structures Using Deep Learning and Evolutionary Algorithm</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Active learning of deep surrogates for PDEs: application to metasurface design
Naturegeneral

Active learning of deep surrogates for PDEs: application to metasurface design

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5qcHBHWEg5WUVyODZUTUhpZnZpb0djNkx1QkNCeExvZnhCV3dnM05BRG1EaE5FbG50U0Jmay1HektFcWxaQVNmYUhoVkVjNC1xcWhGdTRNQmp0THctbUpZ?oc=5" target="_blank">Active learning of deep surrogates for PDEs: application to metasurface design</a>  <font color="#6f6f6f">Nature</font>

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Hybrid experimental and machine learning approach for optimizing abrasive wear of microcrystalline cellulose modified hemp/bamboo fiber composites | Scientific Reports
Naturegeneral

Hybrid experimental and machine learning approach for optimizing abrasive wear of microcrystalline cellulose modified hemp/bamboo fiber composites | Scientific Reports

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5rVEgxdFdGMFpIc3ZTUnZkVG44X0tURG5nMGgtUXR3cnpLSkppLUM5UlJhNGZGQm5sOUZvd2VHeEhkTFF4OXBUYWtnS2RvQXRZMmNmNzRtbWZ2NTZiVnBJ?oc=5" target="_blank">Hybrid experimental and machine learning approach for optimizing abrasive wear of microcrystalline cellulose modified hemp/bamboo fiber composites | Scientific Reports</a>  <font color="#6f6f6f">Nature</font>

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Machine learning models based wear performance prediction of AZ31/TiC composites
Naturegeneral

Machine learning models based wear performance prediction of AZ31/TiC composites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1zNDNpTjM0UXBYOEpRRjNVeU45a3BhZWtfN0p1M21haEdMZkx1Slp4eUpEc2JTbVRQWmpWZW9yZnRIczJQdWhoRmx5ZUhEcXp4UzRrR1ZkcnhyMzdNa1pj?oc=5" target="_blank">Machine learning models based wear performance prediction of AZ31/TiC composites</a>  <font color="#6f6f6f">Nature</font>

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Machine Learning-Evolutionary Algorithm Enabled Design for 4D-Printed Active Composite Structures
Wiley & Sonsgeneral

Machine Learning-Evolutionary Algorithm Enabled Design for 4D-Printed Active Composite Structures

<a href="https://news.google.com/rss/articles/CBMifEFVX3lxTFBjQldJb05Cc3VqRzlRbGFhSk54RWZDVDUzai1oU0tuZlhJY0lKTkdpZF9ld2p2ZW1HSWdNM3BPaGhudnlHYXRuRXFaclNVTDNIZlRkZjdzRF95eGlqTlNIX2c3NzdIZWdTbHNfN1BfVGozajBaNXVub1p6NU4?oc=5" target="_blank">Machine Learning-Evolutionary Algorithm Enabled Design for 4D-Printed Active Composite Structures</a>  <font color="#6f6f6f">Wiley & Sons</font>

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Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection
Naturegeneral

Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE0xVFl5SFBNVVJQcl9rQnhpRXp3OVl0MzFNUTBiSm03Wl9VX1R2bXNIalFPVV9RRzVEblBSbzY4U0tCb0I0RkxKQnhYcEpxcEZub193bFRocXg2QXUzQmE0?oc=5" target="_blank">Machine learning assisted discovery of high-efficiency self-healing epoxy coating for corrosion protection</a>  <font color="#6f6f6f">Nature</font>

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Characterization and machine learning based optimization of banana and paddy straw fiber reinforced epoxy hybrid composites
Naturegeneral

Characterization and machine learning based optimization of banana and paddy straw fiber reinforced epoxy hybrid composites

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE9LLTBWM2Ntckw5VWdWNkxLaXVNSklCWndvWFdwbG5Kdm9UcW9zeTZ5MTlXb3FRQUVPT01SVzR6UDdWLXVLRUIydEhpSExfZm44WVd4ZXdnOHl5TFUySV9j?oc=5" target="_blank">Characterization and machine learning based optimization of banana and paddy straw fiber reinforced epoxy hybrid composites</a>  <font color="#6f6f6f">Nature</font>

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Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC
Naturegeneral

Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC

<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE5aY1dvSTRGMXhXcGpxLWtGdVp5MkZhWWtaOW40aGdHMWdLTFM4aDl2MEd5Y2xySnNGUmlyLWRvcTAyMTF0NlNCQ3BJN241eFZJWlk0MzV0Wm5acWJLME5Z?oc=5" target="_blank">Machine learning-based prediction of wear behaviour of AZ31 hybrid composites reinforced with NbC and ZrC</a>  <font color="#6f6f6f">Nature</font>

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Machine learning for composite materials | MRS Communications
Cambridge University Press & Assessmentworld

Machine learning for composite materials | MRS Communications

<a href="https://news.google.com/rss/articles/CBMi1wFBVV95cUxNLTZqY0lWeV9EVEp4R25QUHlpQ3JLVU9NUGVSSVFwQkNldVROSW9JekxaWVhWVDdWbFhDZzNnc1p0Q2ZHT0JrbG04YnhlN3F0Z0g5N2xDNjV5VkhjZWthNWFSOGpWLXpwdm1hODlZTUxGaUpWRU1FVG0xSzUwVkdYZ2NPaVFaN0Y0U0M3YUZQRkZlbWdFdWNoS1dHSUVEaUM3c1dnY2JyUS16OEdpWTd4eHROS1lfWXJyMVpGcDNzclVENVRNOWN1SU1YbldFUEhjZlBod1RMSQ?oc=5" target="_blank">Machine learning for composite materials | MRS Communications</a>  <font color="#6f6f6f">Cambridge University Press & Assessment</font>

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"Composite Active Learning" — Live Google News Trends & Headlines