Using deep neural networks to enhance collision detection in advanced manufacturing techniques.
George P. Harabin, Amir Mirzendehdel, Morad Behandish
― 7 min read
Cutting edge science explained simply
Using deep neural networks to enhance collision detection in advanced manufacturing techniques.
George P. Harabin, Amir Mirzendehdel, Morad Behandish
― 7 min read
Exploring how LLMs aid in movement analysis and their challenges.
Yuhan Ji, Song Gao
― 5 min read
A new approach to valuing data emphasizes its uniqueness for machine learning.
Mohamad Rida Rammal, Ruida Zhou, Suhas Diggavi
― 6 min read
New model enhances DWI image quality from limited data using deep learning.
Zijian Chen, Jueqi Wang, Archana Venkataraman
― 5 min read
Insights and guidance for responsible dataset creation in machine learning.
Will Orr, Kate Crawford
― 5 min read
Combining high-throughput experiments and machine learning to improve additive manufacturing processes.
Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao
― 10 min read
A new tool to improve predictions using deep learning and data assimilation techniques.
Sibo Cheng, Jinyang Min, Che Liu
― 6 min read
New methods improve facial expression recognition using one-frame calibration techniques.
Shuangquan Feng, Virginia R. de Sa
― 4 min read
New models improve speed and accuracy of wildfire forecasts.
Sibo Cheng, Hector Chassagnon, Matthew Kasoar
― 6 min read
A new benchmark helps researchers tackle cancer data challenges.
Ziwei Yang, Rikuto Kotoge, Zheng Chen
― 6 min read
A new approach enhances event detection in LLMs using Semantic Causal Graphs.
Mazal Bethany, Emet Bethany, Brandon Wherry
― 8 min read
A study on improving tools for junior developers to address security issues.
Nafis Tanveer Islam, Mazal Bethany, Dylan Manuel
― 6 min read
A new method uses GANs to enhance radar images in adverse weather.
Thakshila Thilakanayake, Oscar De Silva, Thumeera R. Wanasinghe
― 5 min read
A new method leverages speech data to improve autism assessments.
Jihyun Mun, Sunhee Kim, Minhwa Chung
― 6 min read
Data preparation in machine learning can impact the explainability of medical decisions.
Ahmed M Salih
― 6 min read
Exploring continuous learning in neural networks through the Neural Tangent Ensemble.
Ari S. Benjamin, Christian Pehle, Kyle Daruwalla
― 8 min read
QAdaPrune streamlines parameter pruning in variational quantum circuits for better performance.
Ankit Kulshrestha, Xiaoyuan Liu, Hayato Ushijima-Mwesigwa
― 5 min read
MoRe Fine-Tuning offers a more efficient way to adapt large machine learning models.
Wenxuan Tan, Nicholas Roberts, Tzu-Heng Huang
― 5 min read
Using GNNs to improve accuracy in electricity consumption forecasting.
Eloi Campagne, Yvenn Amara-Ouali, Yannig Goude
― 6 min read
Learn about the Gromov-Wasserstein distance and its applications in various fields.
Natalia Kravtsova
― 5 min read
This article explores deep learning approaches to detect intrusions in Software Defined Networks.
Osama Mustafa, Khizer Ali, Talha Naqash
― 6 min read
KSOS method improves analysis and prediction in dynamic systems using kernel techniques.
Daniel Lengyel, Panos Parpas, Boumediene Hamzi
― 6 min read
Methods to improve confidence in AI predictions for medical images.
Harry Anthony, Konstantinos Kamnitsas
― 6 min read
Examining the organization and specialization of neurons in transformer models.
Nicholas Pochinkov, Thomas Jones, Mohammed Rashidur Rahman
― 6 min read
This paper explores mechanisms behind neuron activations and their impact on model performance.
Nicholas Pochinkov, Ben Pasero, Skylar Shibayama
― 6 min read
Introducing Fair Best Arm Identification with fairness constraints in decision-making.
Alessio Russo, Filippo Vannella
― 5 min read
Enhancing perception models for self-driving cars using innovative image training methods.
Ahmed Hammam, Bharathwaj Krishnaswami Sreedhar, Nura Kawa
― 7 min read
This study presents a model to analyze interactions between development and inheritance in organisms.
Nayely Vélez-Cruz, Manfred D. Laubichler
― 5 min read
A new method improves detection of advanced persistent threats using machine learning.
Ali M. Bakhiet, Salah A. Aly
― 5 min read
This paper discusses methods for risk-averse decision-making using Markov Decision Processes.
Xihong Su, Marek Petrik, Julien Grand-Clément
― 5 min read
Examining the effects of updates on safety, bias, and authenticity in image generation.
Yixin Wu, Yun Shen, Michael Backes
― 6 min read
This method estimates cell pathways using limited snapshot data.
Yunyi Shen, Renato Berlinghieri, Tamara Broderick
― 5 min read
A guide to the methods and applications of clustering categorical data.
Tai Dinh, Wong Hauchi, Philippe Fournier-Viger
― 5 min read
This study examines how noise can enhance speech recognition resilience against challenges.
Karla Pizzi, Matías Pizarro, Asja Fischer
― 5 min read
Enhancing machine learning performance through dynamic data and model interaction.
Julian Rodemann, Christoph Jansen, Georg Schollmeyer
― 6 min read
This protocol enhances accessibility and security for quantum computing users.
Junhong Yang, Banghai Wang, Junyu Quan
― 6 min read
Deep learning models enhance beam steering efficiency in particle accelerators.
Dexter Allen, Isaac Kante, Dorian Bohler
― 6 min read
A new method improves wind speed predictions for better energy integration.
Ephrem Admasu Yekun, Alem H. Fitwib, Selvi Karpaga Subramaniand
― 7 min read
SafeTail dynamically reduces latency for applications relying on edge servers.
Jyoti Shokhanda, Utkarsh Pal, Aman Kumar
― 7 min read
Combining Parareal and neural networks offers a quicker way to solve ODEs.
Marta M. Betcke, Lisa Maria Kreusser, Davide Murari
― 6 min read