Results 31 to 40 of about 2,545,510 (297)

An End-to-End Adaptive Input Selection With Dynamic Weights for Forecasting Multivariate Time Series

IEEE Access, 2019
A multivariate time series forecasting is critical in many applications, such as signal processing, finance, air quality forecasting, and pattern recognition.
Lkhagvadorj Munkhdalai, Tsendsuren Munkhdalai, Kwang Ho Park, Tsatsral Amarbayasgalan, Erdenebileg Erdenebaatar, Hyun Woo Park, Keun Ho Ryu   +6 more
doaj   +1 more source

Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders

Population Ecology, EarlyView.
We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa, Andrea Costa, Sebastiano Salvidio   +2 more
wiley   +1 more source

Resource Capacitated Collective Travel Planning in Spatial Databases

IEEE Access, 2020
The widespread use of GPS smart devices has allowed users to collect location information in real-time, leading to the emergence of ride-sharing services based on users' locations. Ride-sharing services have become effective services that reduce the cost
Junkyu Lee, Seog Park
doaj   +1 more source

An Adaptive Management Model for Brown Bears in Hokkaido: Based on Total Population and the Number of Nuisance Bears

Population Ecology, EarlyView.
Bear management changes management actions according to the horizontal axis of the population size and the vertical axis of the number of nuisance bears. Aiming for the target population size of Ntar, Actions I and II protect the bears, and Action IV reduces the population.
Hiroyuki Matsuda, Akira Maki, Tsutomu Mano, Hifumi Tsuruga, Hino Takafumi, Shinichi Horino   +5 more
wiley   +1 more source

Single‐cell insights into the role of T cells in B‐cell malignancies

FEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

Safety of Robot‐Assisted Radical Cystectomy for Muscle‐Invasive Bladder Cancer: A Real‐World Analysis Using the National Clinical Database in Japan

Cancer Medicine
Background Radical cystectomy (RC) is a standard‐of‐care treatment for muscle‐invasive bladder cancer (MIBC). However, there is a lack of data comparing the benefit of robot‐assisted radical cystectomy (RARC) with laparoscopic radical cystectomy (LRC) or
Shingo Hatakeyama, Hiroyuki Yamamoto, Hiroshi Kitamura, Toshiyuki Kamoto, Eiji Kikuchi   +4 more
doaj   +1 more source

A Reliable Localization Algorithm Based on Grid Coding and Multi-Layer Perceptron

IEEE Access, 2020
The traditional RSS-based fingerprint localization algorithm needs RSS values from all access points (AP) at each reference point (RP). In the large-scale indoor environment, the increasing of the number of APs will lead to establish a large-scale ...
Zhengtang Sun, Yang Zhang, Qianqian Ren
doaj   +1 more source

DoD: Database of Databases – Updated Molecular Biology Databases

In Silico Biology: Journal of Biological Systems Modeling and Multi-Scale Simulation, 2005
Database of Databases (DoD) is a collection of molecular biology databases extracted from Nucleic Acids Research, 2005 Database issue. DoD is constructed using javascript and html code. The 14 categories of 719 databases are provided with a search option, keyword help and database description linked to respective pages.
P Ajay, Babu, Radha, Boddepalli, V Vasantha, Lakshmi, G Nageswara, Rao   +3 more
openaire   +2 more sources

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Detection and tracking of carbon biomes via integrated machine learning [PDF]

Ocean Science
In the framework of a changing climate, it is useful to devise methods capable of effectively assessing and monitoring the changing landscape of air–sea CO2 fluxes.
S. Mohanty, S. Mohanty, L. Patara, D. Kazempour, P. Kröger   +4 more
doaj   +1 more source