Results 31 to 40 of about 508,520 (148)
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
Generative Models in Inorganic Crystals Discovery and Inverse Design
ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.Generative inverse‐design samples from the vast inorganic crystal design space by starting from target properties such as band gap, stability, and ion transport. This Review examines the representations, generative models, and validation workflows needed to translate candidate structures into stable, potentially synthesizable materials for applications
Tao Li +5 more
wiley +1 more source
Minimaxness and finiteness properties of formal local cohomology modules [PDF]
Kodai Mathematical Journal, 2015 Let $\mathfrak{a}$ be an ideal of local ring ( R, $\mathfrak{m}$) and M a finitely generated R-module and n an integer. We prove some results concerning minimaxness and finiteness of formal local cohomology modules. We discuss the maximum and minimum integers such that $\mathfrak{F}_\mathfrak{a}^i$( M) is minimax and also we obtain the maximum and ...
openaire +2 more sources
Engineering Reports, Volume 8, Issue 10, October 2026.This paper reviews recent advances in hybrid deep learning for intelligent fault diagnosis of rotating machinery, focusing on GAN‐ and CNN‐based architectures and their specialized variants. Hybrid GAN‐CNN methods are categorized into three groups: (1) optimized original GANs with CNN variants, (2) improved GAN architectures integrated with CNNs, and ...
Temesgen Tadesse Feisa +7 more
wiley +1 more source
A conversation with James V. Zidek
Canadian Journal of Statistics, Volume 54, Issue 3, September 2026.Abstract This article documents a series of exchanges between the authors and the senior Canadian statistician Jim Zidek in early 2026. The interview traces his life trajectory, surveying his principal contributions to statistics while offering insights into his motivations, successes, and challenges.
Christian Genest, Nancy E. Heckman
wiley +1 more source
Some results on the cofiniteness of local cohomology modules [PDF]
, 2012 summary:Let $R$ be a commutative Noetherian ring, $\mathfrak {a}$ an ideal of $R$, $M$ an $R$-module and $t$ a non-negative integer. In this paper we show that the class of minimax modules includes the class of $\mathcal {AF}$ modules. The main result is
Mostaghim, Mahdi Hanifi +2 more
core +1 more source
Reproductive, Female and Child Health, Volume 5, Issue 3, September 2026.ABSTRACT Background Although child malnutrition has declined globally over recent decades, it remains a major public health concern in developing countries such as Bangladesh. Identifying the socio‐demographic factors associated with child malnutrition is important for developing targeted interventions.
Md Mehedi Hasan Bhuiyan +3 more
wiley +1 more source
Time Series Domain Adaptation: A Review
WIREs Data Mining and Knowledge Discovery, Volume 16, Issue 3, September 2026.This survey provides a comprehensive and systematic review of TSDA methods from the perspectives of access‐privacy constraints, category‐space semantics, and source‐target topology, three orthogonal axes that unify existing approaches within a common taxonomy.
M. T. Furqon +2 more
wiley +1 more source
Minimax regret and strategic uncertainty [PDF]
This paper introduces a new solution concept, a minimax regret equilibrium, which allows for the possibility that players are uncertain about the rationality and conjectures of their opponents. We provide several applications of our concept.
Karl Schlag, Ludovic Renou
core +2 more sources
Engineering Reports, Volume 8, Issue 8, August 2026.This graphical abstract presents a lightweight and automated BiLSTM‐based Multi‐Cycle GAN framework for retinal blood vessel and optic disc segmentation in fundus images. Initially, fundus images undergo preprocessing, including green channel extraction, denoising, resizing, and dataset splitting.
Rasmita Kumari Mohanty +7 more
wiley +1 more source