Results 101 to 110 of about 73,319 (287)
Variational Autoencoder+Deep Deterministic Policy Gradient addresses low‐light failures of infrared depth sensing for indoor robot navigation. Stage 1 pretrains an attention‐enhanced Variational Autoencoder (Convolutional Block Attention Module+Feature Pyramid Network) to map dark depth frames to a well‐lit reconstruction, yielding a 128‐D latent code ...
Uiseok Lee +7 more
wiley +1 more source
By employing dimensionally reduced reaction descriptors, a human–machine collaboration framework for efficient electrochemical nitrate reduction to NH3 electrocatalysts screening is established and drastically shorten the discovery timeframe. A new kinetic model is established in combination with a rotating ring‐disk electrode, unveiling the pivotal ...
Yingying Cheng +3 more
wiley +2 more sources
Gambling disorder can be treated with cognitive behavioral therapy (CBT), but treatment is under-dimensioned in many settings. For example, in Sweden, a setting with mixed responsibility for addiction treatment between health care and social services ...
C. Grudet +3 more
doaj +1 more source
Data‐Driven Review and Machine Learning Prediction of Diamond Vacancy Center Synthesis
A machine learning framework is applied to photoluminescence spectra to extract linewidths and uncover how NV, SiV, GeV, and SnV centers evolve with growth and processing conditions. Unified normalization and k‐fold validation reveal cross‐method trends and enable rapid prediction of defect size and fabrication parameters, offering a data‐driven route ...
Zhi Jiang +3 more
wiley +1 more source
Psychological treatments for gambling disorder
This review discusses the research evidence for psychological treatment of gambling disorder. Several treatment options for gamblers have been explored, ranging from self-help and peer support, to brief and motivational interventions, to more intensive therapy approaches.
Rash, Carla, Petry,Nancy
openaire +4 more sources
This review explores the transformative impact of artificial intelligence on multiscale modeling in materials research. It highlights advancements such as machine learning force fields and graph neural networks, which enhance predictive capabilities while reducing computational costs in various applications.
Artem Maevskiy +2 more
wiley +1 more source
MusicSwarm: Biologically Inspired Intelligence for Music Composition
Biologically inspired swarms of frozen foundation models self‐organize to compose complex music without fine‐tuning. By coordinating through stigmergic signals, decentralized agents dynamically evolve specialized roles and adapt to solve complex tasks.
Markus J. Buehler
wiley +1 more source
Expanding the spectrum of impulse control disorders in Parkinson's disease: the phenomenology of sweet craving [PDF]
Thesis (M.A.)--Boston UniversityBackground: The recognized spectrum of impulse control disorders in Parkinson’s disease (PD) includes pathologic gambling, hypersexuality, compulsive buying, and binge eating, and is commonly related to exposure to ...
Brown, Caitlin Harrington
core +1 more source
Clinical psychology of Internet addiction: a review of its conceptualization, prevalence, neuronal processes, and implications for treatment [PDF]
Research into Internet addiction (IA) has grown rapidly over the last decade. The topic has generated a great deal of debate, particularly in relation to how IA can be defined conceptually as well as the many methodological limitations.
Griffiths, MD, Kuss, DJ, Pontes, HM
core +1 more source
An instance‐level, model‐agnostic explanation of class differentiation is introduced through SHAP‐LCD, linking probability shifts to feature‐wise Shapley contributions. The method operates on tabular and image data and is released in a fully reproducible implementation, offering a transparent way to examine, at each instance, why predictive models ...
Roxana M. Romero Luna +2 more
wiley +1 more source

