2,546 Result(s)
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Artificial Intelligence
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Article
Open AccessTraining Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer
Modeling in computer vision has long been dominated by convolutional neural networks (CNNs). Recently, in light of the excellent performance of self-attention mechanism in the language field, transformers tail...
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Open AccessA Multi-strategy Improved Grasshopper Optimization Algorithm for Solving Global Optimization and Engineering Problems
This paper presents a multi-strategy improved grasshopper optimization algorithm (MSIGOA), which aims to address the shortcomings of the grasshopper optimization algorithm (GOA), including its slow convergence...
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Glass Sponge-inspired Auxetic Mechanical Metamaterials for Energy Absorption
The Auxetic Structure (AS) exhibits significant densification strain due to its concave cell architecture, functioning as an effective energy-absorbing metamaterial. However, its limited plateau stress hampers...
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Advanced backtracking search for solving continuous optimization problems
This paper recommends develo** advanced backtracking search (ABS) to use single- and multi-vector mutation strategies to effectively enhance the backtracking search algorithm in solving a variety of optimiza...
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Setting a double-capacitive neuron coupled with Josephson junction and piezoelectric source
Perception of voice means acoustic electric conversion in the auditory system, and changes of external magnetic field can affect the neural activities by taming the channel current via some field components in...
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Correction: Learning sample-aware threshold for semi-supervised learning
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ClKI: closed-loop and knowledge iterative via self-distillation for image sentiment analysis
Image sentiment analysis has received a lot of attention due to the fact that users prefer to express their private emotions using images on social platforms. Researchers strive to obtain more discriminative f...
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Deep reinforcement learning framework for end-to-end semiconductor process control
This work focuses on bringing state-of-the-art artificial intelligence and deep reinforcement learning to the manufacturing of semiconductor devices. The main goal of this research is to lay down the foundatio...
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Open AccessRlm-tracking: online multi-pedestrian tracking supported by relative location map**
The challenge of multi-object tracking stands as a fundamental focus in computer vision research, finding widespread applications in areas such as public safety, transportation, autonomous vehicles, robotics, ...
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Article
Enhanced spatial–temporal dynamics in pose forecasting through multi-graph convolution networks
Recently, there has been a growing interest in predicting human motion, which involves forecasting future body poses based on observed pose sequences. This task is complex due to modeling spatial and temporal ...
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Boiler furnace temperature and oxygen content prediction based on hybrid CNN, biLSTM, and SE-Net models
Furnace temperature and oxygen content are important parameters reflecting the combustion inside a circulating fluidized bed (CFB) boiler. Accurately predicting boiler output is a complex task due to the high ...
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Article
Open AccessMulti-agent Gradient-Based Off-Policy Actor-Critic Algorithm for Distributed Reinforcement Learning
This paper proposes a gradient-based multi-agent actor-critic algorithm for off-policy reinforcement learning using importance sampling. Our algorithm is incremental with full gradients, and its complexity per...
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Article
Artificial Immune System of Secure Face Recognition Against Adversarial Attacks
Deep learning-based face recognition models are vulnerable to adversarial attacks. In contrast to general noises, the presence of imperceptible adversarial noises can lead to catastrophic errors in deep face r...
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DmADs-Net: dense multiscale attention and depth-supervised network for medical image segmentation
Deep learning has made important contributions to the development of medical image segmentation. Convolutional neural networks, as a crucial branch, have attracted strong attention from researchers. Through th...
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Article
A Comprehensive Survey of Image Generation Models Based on Deep Learning
In recent years, generative artificial intelligence has been develo** rapidly. In the image domain, image generation models based on deep learning have made remarkable achievements. Early frameworks for imag...
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Open AccessA Single Image High-Perception Super-Resolution Reconstruction Method Based on Multi-layer Feature Fusion Model with Adaptive Compression and Parameter Tuning
We propose a simple image high-perception super-resolution reconstruction method based on multi-layer feature fusion model with adaptive compression and parameter tuning. The aim is to further balance the high...
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Open-Set Single-Domain Generalization for Robust Face Anti-Spoofing
Face anti-spoofing is a critical component of face recognition technology. However, it suffers from poor generalizability for cross-scenario target domains due to the simultaneous presence of unseen domains an...
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Article
Sliding Mode Tracking Control of Nonlinear Discrete-Time T–S Fuzzy Multi-agent Systems with Time-Delays: A Preview Signal Approach
In this work, the problem of sliding mode tracking control with previewable reference signals is investigated for nonlinear discrete-time T–S fuzzy multi-agent systems (MASs) with time-delays. First, an augmen...
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Rendering real-world unbounded scenes with cars by learning positional bias
In real-world unbounded outdoor scenes with cars, there are various specular reflections caused by the surrounding environment appearing on the reflective surfaces of cars. Background regions of unbounded scen...
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A personalized insertion centers preoperative positioning method for minimally invasive surgery of cruciate ligament reconstruction
In the surgery of knee cruciate ligament repair, how to accurately and personalized obtain cruciate ligament insertion centers is the key issue and a great challenge for surgeons. Current artificial judgment i...
