Results 191 to 200 of about 115,711 (260)

Dual path fairness optimization for graph neural network based recommendation. [PDF]

Sci Rep
Yang C, Lu K, He J, Huang S, Cheng J.
europepmc   +1 more source

Predicting Drop‐Weight Impact Sensitivity From Molecular Graphs Using Physics‐Informed Artificial Intelligence

Propellants, Explosives, Pyrotechnics, EarlyView.
This work presents an approach for predicting the drop‐weight impact sensitivity of pure molecular explosives directly from 2D molecular graphs using physics‐informed artificial intelligence (AI) models. A dataset comprising experimentally measured sensitivities for 625 unique high‐explosive molecules is augmented with physics‐informed synthetic ...
Grant Hutchings, Jack V. Davis, Virginia W. Manner, Marc J. Cawkwell, Frank W. Marrs   +4 more
wiley   +1 more source

TMBclaw: tumor clone-aware graph learning improves immunotherapy response prediction across heterogeneous cohorts. [PDF]

Brief Bioinform
Wang Y, Zhu T, Song X, Chen P, Zhu X, Chang Z, Wang X, Lai X, Wang J.   +8 more
europepmc   +1 more source

CONCERT: A Modular Reconfigurable Robot for Construction

Journal of Field Robotics, EarlyView.
ABSTRACT This paper presents CONCERT, a fully reconfigurable modular collaborative robot (cobot) for multiple on‐site operations in a construction site. CONCERT has been designed to support human activities in construction sites by leveraging two main characteristics: high‐power density motors and modularity. In this way, the robot is able to perform a
Luca Rossini, Edoardo Romiti, Arturo Laurenzi, Francesco Ruscelli, Marco Ruzzon, Luca Covizzi, Lorenzo Baccelliere, Stefano Carrozzo, Michael Terzer, Marco Magri, Carlo Morganti, Maolin Lei, Liana Bertoni, Diego Vedelago, Corrado Burchielli, Stefano Cordasco, Luca Muratore, Andrea Giusti, Nikos Tsagarakis   +18 more
wiley   +1 more source

Information-theoretic multi-scale geometric pre-training for enhanced molecular property prediction. [PDF]

PLoS One
Hu X, Zhao X, Wang J, Yang Y.
europepmc   +1 more source

Investigating boreal forest successional stages in Alaska and Northwest Canada using UAV‐LiDAR and RGB and a community detection network

Remote Sensing in Ecology and Conservation, EarlyView.
This study develops a novel application of UAV‐LiDAR and Red Green Blue (RGB) data and network analysis to enhance our understanding of boreal forest succession. The results indicate that tree height and spectral variables are the most influential predictors of plant functional type in random forest algorithms, and high overall accuracies were attained.
Léa Enguehard, Birgit Heim, Ulrike Herzschuh, Viktor Dinkel, Glenn Juday, Santosh Panda, Nicola Falco, Jacob Schladebach, Jakob Broers, Stefan Kruse   +9 more
wiley   +1 more source

Unveiling patterns: an exploration of machine learning techniques for unsupervised feature selection in single-cell data. [PDF]

Brief Bioinform
Chatterjee N, Taraskin A, Divakaran H, Jaeger N, Enriquez V, Hedrick CC, Alimadadi A.   +6 more
europepmc   +1 more source

On the compatibility of single‐scan terrestrial LiDAR with digital photogrammetry and field inventory metrics of vegetation structure in forest and agroforestry landscapes

Remote Sensing in Ecology and Conservation, EarlyView.
The single‐scan approach to terrestrial laser scanning (TLS) and the self‐terrain‐normalized form of drone‐based digital aerial photogrammetry (DAP) offer practical options for rapid assessment of the vegetation structure in tropical landscapes.
Magnus Onyiriagwu, Nereoh Leley, Caleb W. T. Ngaba, Anthony Macharia, Henry Muchiri, Abdalla Kisiwa, Martin Ehbrecht, Delphine Clara Zemp   +7 more
wiley   +1 more source

Lightweight residual graph augmented transformer for cassava leaf disease recognition using spectral directional features. [PDF]

Sci Rep
Satheesh T, Geetha Devasena MS.
europepmc   +1 more source

Location‐Assisted Graph‐Based User Scheduling in Multi‐User MIMO LEO NTN Systems

International Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT This paper addresses user clustering and scheduling for multi‐user MIMO low Earth orbit nonterrestrial network systems in full frequency reuse. Since the number of on‐ground user terminals is usually much higher than the number of on‐board LEO satellite antennas, user scheduling becomes a fundamental task.
Bilal Ahmad, Daniel Gaetano Riviello, Bruno De Filippo, Alessandro Guidotti, Alessandro Vanelli‐Coralli   +4 more
wiley   +1 more source