An integrated intelligent system for breast cancer detection at early stages using IR images and machine learning methods with explainability by Aidossov, Nurduman, Zarikas, Vasilios, Zhao, Yong, Mashekova, Aigerim, Ng, Eddie Yin Kwee, Mukhmetov, Olzhas, Mirasbekov, Yerken, Omirbayev, Aldiyar

Get full text

NeuralMOVES: Extracting and Learning Surrogates for Diverse Vehicle Emission Models by Ramirez Sanchez, Edgar

“…To address these issues, we present a comprehensive family of high-performance and lightweight CO₂ emission models devised through reverse engineering MOVES and surrogate learning. Our models show a promising 6% end-to-end error relative to MOVES, exhibit significant differences from alternative reduced-order models, and offer improved precision. …”
Get full text

Light Water Reactor Loading Pattern Optimization with Reinforcement Learning Algorithms by Seurin, Paul R.M.

“…Since the 1960s, optimizing the LP for LWRs has been a major focus in nuclear engineering, but the large search space has posed significant difficulties. …”
Get full text
Get full text

Opening the AI Black Box: Distilling Machine-Learned Algorithms into Code by Michaud, Eric J., Liao, Isaac, Lad, Vedang, Liu, Ziming, Mudide, Anish, Loughridge, Chloe, Guo, Zifan Carl, Kheirkhah, Tara Rezaei, Vukelić, Mateja, Tegmark, Max

Get full text

MCQGen: a large language model-driven MCQ generator for personalized learning by Hang, Ching Nam, Tan, Chee Wei, Yu, Pei-Duo

“…In essence, MCQGen offers an innovative and robust solution for the automated generation of MCQs, enhancing personalized learning in the digital era.…”
Get full text

Comparison of different deep learning object detection algorithms on fruit drying characterization by Umair, Mohammad Yamin, Norazlianie, Sazali, Kettner, Maurice, Mohd Azraai, Mohd Razman, Weiβ, Robert

Get full text

From Waste to Structure: A Deep Reinforcement Learning Approach to Circular Design by Sørensen, Karl-Johan I.

Get full text
Get full text

Fuzzy adaptive learning control network with policy and another adaptive resonance theory (FALCON-PAART) embedded deep structure with applications in stock market prediction and an... by Wong, Ying

Get full text

Calibration-free reaction yield quantification by HPLC with a machine-learning model of extinction coefficients by McDonald, Matthew A., Koscher, Brent A., Canty, Richard B., Jensen, Klavs F.

Get full text

Classification of C. annuum and C. frutescens ripening stages: how well does deep learning perform? by Ibrahim, Zarina, Hanafi, Marsyita, Shafie, Siti Mariam, Syed Ahmad, Sharifah M.

Get full text

Advancing healthcare with artificial intelligence: diagnostic accuracy of machine learning algorithm in diagnosis of diabetic retinopathy in the Brazilian population by dos Reis, Mateus A., Künas, Cristiano A., da Silva Araújo, Thiago, Schneiders, Josiane, de Azevedo, Pietro B., Nakayama, Luis F., Rados, Dimitris R. V., Umpierre, Roberto N., Berwanger, Otávio, Lavinsky, Daniel, Malerbi, Fernando K., Navaux, Philippe O. A., Schaan, Beatriz D.

Get full text

ProtAgents: Protein discovery via large language model multi-agent collaborations combining physics and machine learning by Ghafarollahi, Alireza, Buehler, Markus J.

Get full text

Judging facts, judging norms: Training machine learning models to judge humans requires a modified approach to labeling data by Balagopalan, Aparna, Madras, David, Yang, David H., Hadfield-Menell, Dylan, Hadfield, Gillian K., Ghassemi, Marzyeh

Get full text

Learning Continuous Integration with Jenkins : An end-to-end guide to creating operational, secure, resilient, and cost-effective CI/CD processes / by Pathania, Nikhil, author 656264

“…By the end of the book, you'll have become an expert in implementing and optimizing CI/CD setups across diverse teams. What you will learn Understand CI with the Golden Circle theory Deploy Jenkins on the cloud using Helm charts and Jenkins Configuration as Code (JCasC) Implement optimal security practices to ensure Jenkins operates securely Extend Jenkins for CI by integrating with SonarQube, GitHub, and Artifactory Scale Jenkins using containers and the cloud for optimal performance Master Jenkins declarative syntax to enrich your pipeline coding vocabulary Enhance security and improve pipeline code within your CI/CD process using best practices Who this book is for This book is for a diverse audience, from university students studying Agile software development to seasoned developers, testers, release engineers, and project managers. …”
Get full text
Get full text

Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco by Sheline, Carolyn, Winter, Amos

Get full text

Investigations Into hyperspectral data analysis techniques for efficient monitoring of vertical hydroponic farms by Srinivasan, Nagarajan

Get full text

Multi-fidelity high-throughput optimization of electrical conductivity in P3HT-CNT composites by Bash, Daniil, Cai, Yongqiang, Chellappan, Vijila, Wong, Swee Liang, Xu, Yang, Kumar, Pawan, Tan, Jin Da, Abutaha, Anas, Cheng, Jayce J. W., Lim, Yee‐Fun, Tian, Siyu Isaac Parker, Ren, Zekun, Mekki‐Berrada, Flore, Wong, Wai Kuan, Xie, Jiaxun, Kumar, Jatin, Khan, Saif A., Li, Qianxiao, Buonassisi, Tonio, Hippalgaonkar, Kedar

Get full text

Face recognition based on PCA and LDA by Qiu, Liangdong

Get full text

Continual semantic segmentation via image and latent space consistency by Wang, Zhichao

Get full text

Audio and video-based extremists detection by Xu, Sijia

Get full text