Results 201 to 210 of about 64,275 (248)

Machine learning-based criminal behavior analysis for enhanced digital forensics. [PDF]

PLoS One
Dananjana WP, Arambawela JS, Gonawala DGSN, Rathnayaka RKGH, Senarathne AN, Siriwardena SMDN.   +5 more
europepmc   +1 more source

Combining kernelised autoencoding and centroid prediction for dynamic multi‐objective optimisation

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Evolutionary algorithms face significant challenges when dealing with dynamic multi‐objective optimisation because Pareto optimal solutions and/or Pareto optimal fronts change. The authors propose a unified paradigm, which combines the kernelised autoncoding evolutionary search and the centroid‐based prediction (denoted by KAEP), for solving ...
Zhanglu Hou, Juan Zou, Gan Ruan, Yuan Liu, Yizhang Xia   +4 more
wiley   +1 more source

Autoencoder techniques for survival analysis on renal cell carcinoma. [PDF]

PLoS One
Sanz Ilundain I, Hernández-Lorenzo L, Rodríguez-Antona C, García-Donas J, Ayala JL.   +4 more
europepmc   +1 more source

A Temporally Disentangled Contrastive Diffusion Model for Spatiotemporal Imputation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT The analysis of spatiotemporal data is essential across many fields, such as transportation, meteorology and healthcare. Data gathered in practical applications often suffer from incompleteness due to device failures and network disruptions.
Yakun Chen, Kaize Shi, Zhangkai Wu, Juan Chen, Xianzhi Wang, Julian McAuley, Guandong Xu, Shui Yu   +7 more
wiley   +1 more source

Rolling Bearing Fault Diagnosis Based on Multi-Source Domain Joint Structure Preservation Transfer with Autoencoder. [PDF]

Sensors (Basel)
Jiang Q, Shi T, Hou X, Miao B, Zhang Z, Jin Y, Wang Z, Zhou H.   +7 more
europepmc   +1 more source

Temporal Dependency‐Aware Trajectory‐Level Behavioural Metric for Exploration in Reinforcement Learning

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Intrinsic motivation serves as the predominant paradigm of exploration in reinforcement learning. In pursuit of an informative and robust state representation, the behavioural metric groups behaviourally equivalent states together, which share the same single‐step reward and transition distribution.
Anjie Zhu, Yongjun Yang, Guangyi Zhao, Jie Shao   +3 more
wiley   +1 more source

Deep Learning-Enabled Multi-Omics Integration: A New Frontier in Precise Drug Target Discovery. [PDF]

Biology (Basel)
Ren Y, Bai H, Wang J, Yang Y, Wang Y.
europepmc   +1 more source

Vitess 3.8: a modernized framework for Monte Carlo neutron tracing simulations

Journal of Applied Crystallography, EarlyView.
VITESS 3.8 introduces modernized neutron‐source modeling with new artificial‐intelligence‐based and KDSource modules, plus expanded component support including a prism module and NCrystal‐integrated sample module. It also delivers major upgrades to existing modules and multiple new features, advancing the simulation framework.VITESS is a modular Monte ...
José Ignacio Robledo, Nicoló Violini, Fabian Beule, Jorg Voigt, Paul Zakalek, Klaus Lieutenant   +5 more
wiley   +1 more source

VNFlow: integration of variational autoencoders and normalizing flows for novel molecular design. [PDF]

J Cheminform
Hostaš J, Ghaemi MS, Hu H, Lin J, Hu A, Ooi HK.   +5 more
europepmc   +1 more source

Denoising framework for X‐ray absorption spectroscopy data

Journal of Synchrotron Radiation, EarlyView.
We introduce a high‐performance Python‐based XAS denoising package called XASDenoise, which implements our newly developed stationarity warping method and advanced denoising techniques based on Gaussian process regression and a convolutional autoencoder.X‐ray absorption spectroscopy (XAS) is a powerful tool for probing the structural and electronic ...
Tomas Aidukas, Ilnura Usmanova, Benjamín Béjar Haro, Maarten Nachtegaal, Adam H. Clark   +4 more
wiley   +1 more source