Results 91 to 100 of about 121,150 (313)

High-resolution cloud detection network

open access: yesJournal of Electronic Imaging
Journal of Electronic ...
Jingsheng Li   +6 more
openaire   +2 more sources

Grasp Pose Detection in Point Clouds [PDF]

open access: yesThe International Journal of Robotics Research, 2017
Recently, a number of grasp detection methods have been proposed that can be used to localize robotic grasp configurations directly from sensor data without estimating object pose. The underlying idea is to treat grasp perception analogously to object detection in computer vision. These methods take as input a noisy and partially occluded RGBD image or
Andreas ten Pas   +3 more
openaire   +2 more sources

Hierarchical MXene‐Derived NTP/C Nanohybrids for Cryogenic Sodium‐Ion Batteries

open access: yesAdvanced Functional Materials, EarlyView.
A hierarchical MXene‐derived NaTi2(PO4)3/C nanohybrid enables efficient sodium‐ion storage down to −40°C by integrating fast ion–electron transport pathways with an ether‐based electrolyte. The system promotes dominant pseudocapacitive behavior and forms a robust inorganic‐rich SEI, collectively mitigating kinetic and interfacial limitations, thereby ...
M. Sai Bhargava Reddy   +5 more
wiley   +1 more source

Enhancing Cloud Security through Intrusion Detection: A Comprehensive Study Using the ISOT-CID Dataset

open access: yes
Cloud computing has revolutionized data management, offering unparalleled scalability, flexibility, and efficiency. However, its open and multi-tenant nature introduces significant security vulnerabilities, making it an attractive target for cyber ...
Alzide, Safana
core   +1 more source

Cloud-based e-Infrastructure for scheduling astronomical observations

open access: yes, 2015
This research was pursued under the EPSRC grant ‘Working Together: Constraint Programming and Cloud Computing’ (EP/K015745/1) and an Amazon Web Services (AWS) Education Research Grant.Gravitational microlensing exploits a transient phenomenon where an ...
Barker, Adam David   +11 more
core   +1 more source

Detecting moving spheres in 3D point clouds via the 3D velocity Hough transform [PDF]

open access: yes, 2013
We present a new approach to extracting moving spheres from a sequence of 3D point clouds. The new 3D velocity Hough Transform (3DVHT) incorporates motion parameters in addition to structural parameters in an evidence gathering process to accurately ...
Mark S. Nixon   +7 more
core   +1 more source

Unbiased High-Precision Cloud Detection for Advanced Himawari Imager Using Automatic Machine Learning

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Clouds play a pivotal role in the global radiation budget and energy cycle, making accurate cloud detection via satellite remote sensing essential for understanding their evolutions.
Bochun Liu   +10 more
doaj   +1 more source

Thermally Pre‐Formed Reconfigurable Resistive Random‐Access Memory Crossbar Arrays: A Dual‐Mode Platform for Robust Physically Unclonable Functions and In‐Memory Computing

open access: yesAdvanced Functional Materials, EarlyView.
A reconfigurable RRAM platform utilizing thermally pre‐formed filaments (TPFs) is developed to realize robust hardware security. By exploiting the thermodynamic stochasticity of TPFs, exceptionally reliable physically unclonable functions (PUFs) are achieved.
Seongbin Kwon   +4 more
wiley   +1 more source

AI-Driven Threat Detection: Enhancing Cloud Security with Cutting-Edge Technologies [PDF]

open access: yes, 2019
In an era where cyber threats are becoming increasingly sophisticated and pervasive, traditional security measures often fall short in protecting cloud environments.
Ethan, Kim, Nina, Patel
core  

Weakly Supervised Adversarial Training for Remote Sensing Image Cloud and Snow Detection

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Cloud and snow detection in remote sensing images has advanced significantly with the aid of deep learning methods. However, deep learning methods necessitate a large quantity of labeled data, which consumes a substantial amount of human and material ...
Jiajun Yang   +5 more
doaj   +1 more source

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