Latest AI and machine learning research in dsm-5 for healthcare professionals.
A high-resolution soil moisture prediction method has recently gained its importance in various fields such as forestry, agricultural and land management. However, accurate, robust and non- cost prohibitive spatially monitoring of soil moisture is challenging. In this research, a new approach involving the use of advance machine learning (ML) models, and multi-sensor data fusion including Sentinel...
The extraction of wheat lodging is of great significance to post-disaster agricultural production management, disaster assessment and insurance subsidies. At present, the recognition of lodging wheat in the actual complex field environment still has low accuracy and poor real-time performance. To overcome this gap, first, four-channel fusion images, including RGB and DSM (digital surface model), a...
Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic sys...
Plasmid-mediated quinolone resistance (PMQR) genes located on conjugative plasmids can be transferred to other bacteria in the absence of antimicrobia...
A growing literature is utilizing machine learning methods to develop psychopathology risk algorithms that can be used to inform preventive interventi...
This study proposes a neural network (NN) model to predict and simulate the propagation of vehicular traffic noise in a dense residential area at the ...
Converging evidences from different lines of research suggest abnormalities in functional brain connectivity in schizophrenia. While positively correl...
Neuroimaging studies have been steadily explored in Bipolar Disorder (BD) in the last decades. Neuroanatomical changes tend to be more pronounced in p...
We argue that the series of traits characterizing Borderline Personality Disorder samples do not weigh equally. In this regard, we believe that networ...
Technology driven interventions provide us with an increasing amount of fine-grained data about the patient. This data includes regular ecological mom...
The aim of the study was to characterize exopolysaccharides (EPS) originated from Lactobacillus reuteri strain DSM 17938 (EPS-DSM17938) and L. reuteri...
Generating realistic 3D city environments from remote sensing data is important for simulation, urban planning, and mixed reality, yet existing point ...
Unconditional diffusion checkpoint merging assumes benign sources, yet a compromised public checkpoint can transfer a dormant backdoor while clean gen...
Existing methods for adapting 2D foundation models such as SAM to 3D volumes either process slices independently---ignoring inter-slice context---or r...
With the growing demand for immersive visual experiences, high-quality omnidirectional images (ODIs) have become increasingly important. However, limi...
Gaussian Splatting has been recently explored for satellite 3D reconstruction, demonstrating flexibility and efficiency in representing radiometricall...
Generating explicit 3D city assets from a single satellite image is important for digital twins, urban simulation, and geospatial intelligence. Unlike...
Generating a street-level 3D scene from a single satellite image is a crucial yet challenging task. Current methods present a stark trade-off: geometr...
Recent work has shown that diffusion models trained with the denoising score matching (DSM) objective often violate the Fokker--Planck (FP) equation t...
Subject-driven image generation has shown great success in creating personalized content, but its capabilities are largely confined to single subjects...