Results 11 to 20 of about 18,492,174 (314)
Deep Learning Approaches in Histopathology
Cancers, 2022 The revolution of artificial intelligence and its impacts on our daily life has led to tremendous interest in the field and its related subtypes: machine learning and deep learning. Scientists and developers have designed machine learning- and deep learning-based algorithms to perform various tasks related to tumor pathologies, such as tumor detection,
Alhassan Ali Ahmed +2 more
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Topological Approaches to Deep Learning [PDF]
, 2020 23 pages, 10 ...
Gunnar E. Carlsson +1 more
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A deep learning approach to drone monitoring [PDF]
2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 2017 A drone monitoring system that integrates deep-learning-based detection and tracking modules is proposed in this work. The biggest challenge in adopting deep learning methods for drone detection is the limited amount of training drone images. To address this issue, we develop a model-based drone augmentation technique that automatically generates drone
Yueru Chen +3 more
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Job-Scheduling-Deep-Reinforcement-Learning
, 2023 A novel approach to Job Scheduling applying Deep Reinforcement Learning and Neural Network Architectures of Natural Language ProcessingIf you use this software, please cite it as ...
de Oliveira Hitzges, Diego
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Deep Learning Approaches in Food Recognition [PDF]
, 2020 Automatic image-based food recognition is a particularly challenging task. Traditional image analysis approaches have achieved low classification accuracy in the past, whereas deep learning approaches enabled the identification of food types and their ingredients.
Kiourt, Chairi +2 more
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Machine learning and deep learning approaches in IoT
PeerJ Computer Science, 2023 The internet is a booming sector for exchanging information because of all the gadgets in today’s world. Attacks on Internet of Things (IoT) devices are alarming as these devices evolve. The two primary areas of the IoT that should be secure in terms of authentication, authorization, and data privacy are the IoMT (Internet of Medical Things) and the ...
Abqa Javed +4 more
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A Deep Learning Approach to Antibiotic Discovery [PDF]
Cell, 2020 Due to the rapid emergence of antibiotic-resistant bacteria, there is a growing need to discover new antibiotics. To address this challenge, we trained a deep neural network capable of predicting molecules with antibacterial activity. We performed predictions on multiple chemical libraries and discovered a molecule from the Drug Repurposing Hub-halicin-
Stokes, Jonathan +19 more
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Deep Learning and Music Adversaries [PDF]
, 2015 OA Monitor ExerciseOA Monitor ExerciseAn {\em adversary} is essentially an algorithm intent on making a classification system perform in some particular way given an input, e.g., increase the probability of a false negative.
STURM, BLT +5 more
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NeuralTPL: a deep learning approach for efficient reaction space exploration [PDF]
, 2021 Computer-aided synthesis planning (CASP) has been helping chemists to synthesize novel molecules at an accelerated pace. The recent integration of deep learning with CASP has opened up new avenues for digitizing and exploring the vastly unknown chemical ...
Yue, Wan +6 more
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Steiner tree: a deep reinforcement learning approach
, 2021 Tong, GuangmoThe Steiner tree problem is a classical combinatorial optimization problem that targets interconnecting a set of points by a network whose total length is the shortest, where the network consists of the original points and the newly added ...
Wang, Siqi
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