Results 181 to 190 of about 842,701 (337)
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
A Critical Assessment of Bonding Descriptors for Predicting Materials Properties
Advanced Intelligent Discovery, EarlyView.The impact of new bonding descriptors in machine learning models for predicting material properties is assessed. Improvements are validated using significance tests, and new, intuitive descriptors for screening lattice thermal conductivity and projected force constants are introduced.
Aakash Ashok Naik +6 more
wiley +1 more source
Fault localization in DSLTrans model transformations by combining symbolic execution and spectrum-based analysis. [PDF]
Softw Syst ModelOakes BJ, Troya J, Galasso J, Wimmer M.
europepmc +1 more source
Large Language Model‐Based Chatbots in Higher Education
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
Symbolic Execution for Function Matching
, 2017 The idea for this project was to use symbolic execution to create an architecture-agnostic representation of a function to use for matching. Symbolic execution is a dynamic analysis method that provides the reverse engineer with a better understanding of
Comeau, Samantha Jo
core
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Neuro-Symbolic Execution: Augmenting Symbolic Execution with Neural Constraints
Proceedings 2019 Network and Distributed System Security Symposium, 2019 Shiqi Shen +4 more
openaire +2 more sources
SYMBOLIC EXECUTION IN ALGORITHM DESIGN
, 2008 Our studies of how people design algorithms [14,15] reveal that symbolic execution is one of the principal design methods used in the absence of specific knowledge, 3 and we believe that symbolic execution will play an equally important role in the ...
core
Predicting Performance of Hall Effect Ion Source Using Machine Learning
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park +8 more
wiley +1 more source