Results 21 to 30 of about 314,083 (295)
Adaptive Constrained Differential Evolution Algorithm by Using Generalized Opposition-Based Learning
Differential evolution is a global optimization algorithm based on greedy competition mechanism, which has the advantages of simple structure, less control parameters, higher reliability and convergence. Combining with the constraint-handling techniques,
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Robust Compare Network for Few-Shot Learning
Making machines learn like humans is the ultimate goal of artificial intelligence. Few-shot learning attempts to simulate the learning mechanism of humans, which is a task that can learn novel concepts from very few labeled samples.
Yixin Yang +4 more
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A biography of botanist Joseph Dalton Hooker illustrates how science switched in the nineteenth century from being a hobby of aristocrats to a profession paid for by governments.
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Structure-Aware Low-Rank Adaptation for Parameter-Efficient Fine-Tuning
With the growing scale of pre-trained language models (PLMs), full parameter fine-tuning becomes prohibitively expensive and practically infeasible.
Yahao Hu +4 more
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Multi-agent deep reinforcement learning (MDRL) is an emerging research hotspot and application direction in the field of machine learning and artificial intelligence.
Yu Sun +5 more
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Unsupervised 3D Reconstruction with Multi-Measure and High-Resolution Loss
Multi-view 3D reconstruction technology based on deep learning is developing rapidly. Unsupervised learning has become a research hotspot because it does not need ground truth labels.
Yijie Zheng +5 more
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COMMAND, CONTROL AND COMMUNICATIONS
Basic concepts and ...
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G2O-Pose: Real-Time Monocular 3D Human Pose Estimation Based on General Graph Optimization
Monocular 3D human pose estimation is used to calculate a 3D human pose from monocular images or videos. It still faces some challenges due to the lack of depth information.
Haixun Sun +4 more
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Objective To achieve resilience in the response of a major incident, it is essential to coordinate major processes and resources with the aim to manage expected and unexpected changes.
J. Pettersson +6 more
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Nowhere to Hide Methodology: Application of Clustering Fault Diagnosis in the Nuclear Power Industry
When a system crashes, fast and accurate log-based fault diagnosis can remarkably reduce the recovery time of the system and avoid further economic losses. Especially for the nuclear power industry, recovery time will lead not only to economic losses but
Cheng Zong +4 more
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