Asymptotically Almost Automorphic Mild Solutions for a Class of Neutral Differential Equations with Delay by YAO Hui-li, LI Xiao-tong, WANG Jing-nan, LI Xue-xin

“…All kinds of differential equations as mathematical models have been built up due to different practical problems，so the problem of studying the existence of various solutions has attracted the attention of mathematical scholars at home and abroad. …”
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Unbalanced Feature Identification of Rotor System Based on Fused Cross-Correlation Fast Fourier Transform by Yiheng Sheng, Zinan Wang, Peng Zhou, Zhan Wang, Qian Wang, Siqi Niu

“…The unbalanced features of the rotor system vibration signals are identified under different working conditions through simulation and experiment. …”
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Multi-modal emotional analysis in customer relation management and enhancing communication through integrated affective computing by W. Gracy Theresa, C. Pabitha, K. Revathi, Pornpimol Chawengsaksopark, Mithilesh Sathyanarayanan

“…To analyze text and emoji, the system uses advanced affective computing techniques such as Robustly Optimized Bidirectional Encoder Representations from Transformers Approach (RoBERTa), Convolutional Neural Networks (CNN) for images, Bidirectional Convolutional Long Short-Term Memory (BiConvLSTM) for video, and Cross-Modal BERT for audio. …”
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An optimized domain-specific shrimp detection architecture integrating conditional GAN and weighted ensemble learning by L. Ravi Kumar, Ravi Kumar Tata, T. R. Mahesh, Endris Mohammed Ali

“…The methodology is used to combine the shrimp images with different backgrounds in different phases: segmentation, dataset construction, and creating classifiers like faster recurrent convolution neural network (FRCNN) and you only look once (YOLOv7). …”
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Improved stereo matching network based on dense multi-scale feature guided cost aggregation by ZHANG Bo, ZHANG Meiling, LI Xue, ZHU Lei

“…This module extracted region-level features of different scales by using atrous convolution of different expansion rates, and effectively fused image features of different scales through dense connection, so that the network can capture contextual information. …”
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A small object detection model in aerial images based on CPDD-YOLOv8 by Jingyang Wang, Jiayao Gao, Bo Zhang

“…Thirdly, a new DSC2f structure is proposed, which uses Dynamic Snake Convolution (DSConv) to take the place of the first standard Conv of Bottleneck in the C2f structure, so that the model can adapt to different inputs more effectively. …”
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Blind source separation and unmanned aerial vehicle classification using CNN with hybrid cross-channel and spatial attention module by Jiangong Ni, Zhigang Zhou

“…In order to accurately and effectively identify different types of UAVs, a UAV category recognition method based on improved convolutional neural network (CNN) is proposed. …”
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Performance evaluation of enhanced deep learning classifiers for person identification and gender classification by Vasu Krishna Suravarapu, Hemprasad Yashwant Patil

“…Finally, three distinct custom EDLCs are employed, such as dilated axial attention convolutional neural network, self-spectral attention-based relational transformer net, parameterized hypercomplex convolutional Siamese network for classification. …”
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Integrated deep network model with multi-head twofold attention for drug–target interaction prediction by Angelin Jeba P, Tamilpavai G

“…This model leverages convolutional and recurrent neural networks to extract both local and sequential features from drug molecular structures and target protein sequences. …”
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Ensemble learning-based abnormality diagnosis in wrist skeleton radiographs using densenet variants voting by Sajid Khan, Faiqa Arshad, Maryam Zulfiqar, Muhammad Asif Khan, Sufyan Ali Memon

“…They used capsule network, 169-layer convolutional neural network, and group normalized convolutional neural network. …”
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Using Deep Learning to Predict Complex Systems: A Case Study in Wind Farm Generation by J. M. Torres, R. M. Aguilar

“…In this paper we propose using different deep-learning techniques and architectures to solve the problem of predicting wind generation in order to participate in the daily market, by making predictions 12 and 36 hours in advance. …”
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Skin Lesion Image Segmentation Algorithm Based on MC-UNet by Guihua Yang, Bingxing Pan

“…Aiming at the situation of dermatoscopic images with fuzzy lesion boundaries, variable morphology and high similarity to background, this paper proposes a skin lesion segmentation algorithm that achieves higher segmentation accuracy by combining existing convolutional neural network methods. The algorithm begins by using a Multiscale Residual Block (MRB) with different-sized convolutional kernels to enlarge the receptive field and extract multi-scale features of dermatoscopic images. …”
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A Configurable Accelerator for CNN-Based Remote Sensing Object Detection on FPGAs by Yingzhao Shao, Jincheng Shang, Yunsong Li, Yueli Ding, Mingming Zhang, Ke Ren, Yang Liu

“…Convolutional neural networks (CNNs) have been widely used in satellite remote sensing. …”
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Optimisation of Residual Network Using Data Augmentation and Ensemble Deep Learning for Butterfly Image Classification by Diniati Ruaika, Shofwatul Uyun

“…Image classification needs to produce a quick, economical, and reliable result. Convolutional Neural Networks (CNN) have proven effective for image analysis. …”
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Academic Emotion Classification Using FER: A Systematic Review by Jeniffer Xin-Ying Lek, Jason Teo

“…Based on the search criteria, 701 publications were initially retrieved from five different digital databases, of which 48 studies have been chosen as primary studies for further analysis. …”
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A Systematic Review of the Current State of Transfer Learning Accelerated CNN-Based Plant Leaf Disease Classification by David J. Richter, Md Ilias Bappi, Shivani Sanjay Kolekar, Kyungbaek Kim

“…This paper presents statistics on model, dataset, hyperparameter, pre-processing, augmentation, and metrics usage. Also, different methods for improving transfer-learning accelerated convolutional neural network models and training are listed. …”
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A raypath-consistent receiver correction in PS converted wave processing through seismic interferometry: New application for tropical zones New application for tropical zones by Andrés Salamanca, Luis Montes

“…Inverse filters, derived from these functions, are applied by convolution to the raw traces to supply traces corrected for weathering layer effects. …”
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MDA-MIM: a radar echo map prediction model integrating multi-scale feature fusion and dual attention mechanism by HU Qiang, GAO Yating, YIN Binli, QU Lianen

“…Multi-scale feature fusion and a dual attention mechanism were incorporated in MDA-MIM. Dilated convolution was used to extract and integrate multi-scale features. …”
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Towards a New Generation of Impulse‐Response Functions for Integrated Earth System Understanding and Climate Change Attribution by Alexander J. Winkler, Carlos A. Sierra

“…Abstract Impulse‐response functions (IRFs) are mathematical functions that represent the response of the coupled carbon‐climate system to different trajectories of fossil‐fuel emissions and land‐use. …”
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Research on Face Local Attribute Detection Method Based on Improved SSD Network Structure by Qun Luo, Zhendong Liu

“…On this basis, by organically connecting different layers of the SSD network and integrating convolution block attention module, the improved SSD network structure was used to realize face local attribute detection. …”
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