Results 21 to 30 of about 18,492,174 (314)
Intrusion Detection: A Deep Learning Approach
CoRR, 2023 presented at 2023 Second International Conference on Electrical, Electronics, Information and Communication Technologies (ICEEICT 2023)
Ishaan Shivhare +4 more
openaire +3 more sources
A deep learning approach for the analysis of birdsong. [PDF]
ElifeDeep learning tools for behavior analysis have enabled important insights and discoveries in neuroscience. Yet, they often compromise interpretability and generalizability for performance, making quantitative comparisons across datasets difficult. We developed a novel deep learning-based behavior analysis pipeline, Avian Vocalization Network (AVN), for
Koch TMI, Marks ES, Roberts TF.
europepmc +4 more sources
A Deep Learning Approach to Grasping the Invisible [PDF]
IEEE Robotics and Automation Letters, 2020 We study an emerging problem named "grasping the invisible" in robotic manipulation, in which a robot is tasked to grasp an initially invisible target object via a sequence of pushing and grasping actions. In this problem, pushes are needed to search for the target and rearrange cluttered objects around it to enable effective grasps.
Yang Yang 0083 +2 more
openaire +3 more sources
RAIN-F+: The Data-Driven Precipitation Prediction Model for Integrated Weather Observations
Remote Sensing, 2021 Quantitative precipitation prediction is essential for managing water-related disasters, including floods, landslides, tsunamis, and droughts. Recent advances in data-driven approaches using deep learning techniques provide improved precipitation ...
Yeji Choi +4 more
doaj +1 more source
Using Deep Learning in Infrared Images to Enable Human Gesture Recognition for Autonomous Vehicles
IEEE Access, 2020 The realization of a novel human gesture recognition algorithm is essential to enable the effective collision avoidance of autonomous vehicles. Compared to visible spectrum cameras, the use of infrared imaging can enable more robust human gesture ...
Keke Geng, Guodong Yin
doaj +1 more source
Relationship between Students’ Conceptions and Approaches to Study and Learning: A Structural Equation Modeling Analysis [PDF]
پژوهش در نظامهای آموزشی, 2019 The present research article aimed to investigate the relationship between components of students’ conceptions and approaches to study and learning. The research method was descriptive-correlational.
Mahla Sheikhshoaie +2 more
doaj +1 more source
A Deep Learning Approach to Unsupervised Ensemble Learning
CoRR, 2016 We show how deep learning methods can be applied in the context of crowdsourcing and unsupervised ensemble learning. First, we prove that the popular model of Dawid and Skene, which assumes that all classifiers are conditionally independent, is {\em equivalent} to a Restricted Boltzmann Machine (RBM) with a single hidden node.
Uri Shaham 0001 +6 more
openaire +3 more sources
Deep Learning Approach For Emotions Detection [PDF]
E3S Web of Conferences, 2023 The design and implementation of intelligent space, global, and healthcare arrangements have developed very essential since they automatically monitor both the surroundings and the individuals in it to offer support and facilities.
Anupama +6 more
doaj +1 more source
Learning Deep Belief Networks from Non-Stationary Streams [PDF]
, 2012 18.10.13 KB. Ok to add author version to spiral from LNCS; embargo period expired. SpringerDeep learning has proven to be beneficial for complex tasks such as classifying images. However, this approach has been mostly applied to static datasets.
Pouzols, Federico Montesino +11 more
core +1 more source
Proposed deep-learning approach.
, 2022 Proposed deep-learning approach.
Amy W. Amara (12133372) +1 more
core +1 more source