Results 31 to 40 of about 1,391,367 (412)
Avoiding and Escaping Depressions in Real-Time Heuristic Search [PDF]
Journal of Artificial Intelligence Research, 2014 Heuristics used for solving hard real-time search problems have regions with depressions. Such regions are bounded areas of the search space in which the heuristic function is inaccurate compared to the actual cost to reach a solution.
Carlos Hernández, Jorge A. Baier
semanticscholar +1 more source
Geosciences, 2018 To assess the current state of glacial lakes, we examine the seasonal lake-area changes of 339 glacial lakes in the Teskey and Kungoy Ranges of the Issyk-Kul Basin, Kyrgyzstan, during 2013–2016 based on optical satellite images (Landsat7/ETM+ and 8/OLI).
Mirlan Daiyrov +5 more
doaj +1 more source
Geochemistry, Geophysics, Geosystems, 2022 High‐resolution bathymetry and three‐dimensional seismic data along the Cocos Ridge reveal a 245 km2 field of ∼1–4 km in diameter seafloor depressions. The seafloor depressions are part of a two‐tiered honeycomb pattern.
Jared W. Kluesner +6 more
doaj +1 more source
A versatile, linear complexity algorithm for flow routing in topographies with depressions
Earth Surface Dynamics, 2018 . We present a new algorithm for solving the common problem of flow trapped in closed depressions within digital elevation models, as encountered in many applications relying on flow routing.
Guillaume Cordonnier, B. Bovy, J. Braun
semanticscholar +1 more source
A Study on the Performance of Generative Pre-trained Transformer (GPT) in Simulating Depressed Individuals on the Standardized Depressive Symptom Scale [PDF]
arXiv, 2023 Background: Depression is a common mental disorder with societal and economic burden. Current diagnosis relies on self-reports and assessment scales, which have reliability issues. Objective approaches are needed for diagnosing depression. Objective: Evaluate the potential of GPT technology in diagnosing depression.
arxiv
Remote Sensing, 2022 Karst landscapes have an abundance of enclosed depressions. Many studies have detected depressions and have calculated geomorphometric characteristics with computer techniques. These outcomes are somewhat determined by the methods and data used.
Rok Ciglič +2 more
doaj +1 more source
Non-verbal Facial Action Units-based Automatic Depression Classification [PDF]
arXiv, 2022 Depression is a common mental disorder that causes people to experience depressed mood, loss of interest or pleasure, feelings of guilt or low self-worth. Traditional clinical depression diagnosis methods are subjective and time consuming. Since depression can be reflected by human facial expressions, We propose a non-verbal facial behavior-based ...
arxiv
Automatic Depression Detection: An Emotional Audio-Textual Corpus and a GRU/BiLSTM-based Model [PDF]
arXiv, 2022 Depression is a global mental health problem, the worst case of which can lead to suicide. An automatic depression detection system provides great help in facilitating depression self-assessment and improving diagnostic accuracy. In this work, we propose a novel depression detection approach utilizing speech characteristics and linguistic contents from
arxiv
Bursting with depression [PDF]
Nature Reviews Neuroscience, 2018 Upregulated bursting activity in the lateral habenula is associated with depression-like behaviours in rats and mice, and depends on NMDA receptors, T-type voltage-sensitive calcium channels and the astrocytic inwardly rectifying potassium channel KIR4.1.
openaire +3 more sources
Two-stage Temporal Modelling Framework for Video-based Depression Recognition using Graph Representation [PDF]
arXiv, 2021 Video-based automatic depression analysis provides a fast, objective and repeatable self-assessment solution, which has been widely developed in recent years. While depression clues may be reflected by human facial behaviours of various temporal scales, most existing approaches either focused on modelling depression from short-term or video-level ...
arxiv