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SE Block-Assisted ResNet for Channel Estimation in OFDM System
Channel estimation (CE) is an important part of wireless communication system, which has a significant impact on the quality of wireless...
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DSE-FCOS: dilated and SE block-reinforced FCOS for detection of marine benthos
The current object detection algorithm suffers from slow detection speed and low object recognition rate when detecting marine benthos due to small...
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Comparison of Simplified SE-ResNet and SE-DenseNet for Micro-Expression Classification
Micro-expressions are rapid and subtle facial movements that can reflect the most real emotional state hidden in the human heart. Classifying...
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Online Speaker Diarization Using Optimized SE-ResNet Architecture
A new approach to speaker diarization (SD) suitable for real-time processing of streamed data is presented in this work. It utilizes a modified...
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SW/SE-CNN: semi-wavelet and specific image edge extractor CNN for Gaussian image denoising
Several state-of-the-art convolutional neural networks (CNNs)-based methods are available for image denoising tasks. CNNs are typically trained using...
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Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification
This paper presents a lightweight and accurate convolution neural network (CNN) based on encoder in vision transformer structure, which uses...
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SE-ResNet56: Robust Network Model for Deepfake Detection
In recent years, high quality deepfake face images generated by Generative Adversarial Networks (GAN) technology have caused serious negative impacts...
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Lung Nodule Classification Based on SE-ResNet152 and Stratified Sampling
Lung nodules, an early indication of lung cancer, are crucial for its treatment. Existing studies primarily focus on improving model structures,...
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SE-DCGAN: a New Method of Semantic Image Restoration
Image restoration is a technique that utilizes the edge of a corrupted area. The information content of the damaged information area is inferred...
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MetaRL-SE: a few-shot speech enhancement method based on meta-reinforcement learning
The goal of speech enhancement is to reduce and suppress the noise in noisy speech and improve the quality and intelligibility of damaged speech....
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An ensemble approach-based intrusion detection system utilizing ISHO-HBA and SE-ResNet152
Over the past ten years, there has been a significant increase in computer network intrusions, partly due to a thriving black market for cybercrime...
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Road Recognition for Autonomous Vehicles Based on Intelligent Tire and SE-CNN
High-level autonomous driving relies on the comprehensive perception of the environment. However, current perception research usually pays low...
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Language Changes in Java SE 17
In this segment, we’ll cover the updates to Java language in Java SE 17 in greater detail.
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Small-scale block defect detection of fabric surface based on SCG-NET
In contrast to the common small target detection problems, it is more difficult to locate and identify the small surface defects of fabric due to its...
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PSigmoid: Improving squeeze-and-excitation block with parametric sigmoid
Squeeze-and-Excitation (SE) Networks won the last ImageNet Large-Scale Visual Recognition Challenge (ILSVRC) classification competition and is very...
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SE-1DCNN-LSTM: A Deep Learning Framework for EEG-Based Automatic Diagnosis of Major Depressive Disorder and Bipolar Disorder
As two typical subtypes of depression, bipolar disorder (BD) is often misdiagnosed as major depressive disorder (MDD) in the early stage. Accurate...
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DBST: a lightweight block cipher based on dynamic S-box
IoT devices have been widely used with the advent of 5G. These devices contain a large amount of private data during transmission. It is primely...
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SE Based Development Framework for Changeable Maritime Systems
Maritime vessels are complex systems that generate and require the utilization of large amounts of data for maximum efficiency. However, integrating...
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Evaluating classifiers in SE research: the ECSER pipeline and two replication studies
ContextAutomated classifiers, often based on machine learning (ML), are increasingly used in software engineering (SE) for labelling previously...
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Java SE Underpinnings
So far, you have had the chance to learn about the fundamental concepts of security and how these are applied in the Jakarta EE world. Moreover, you...