Multi-Feature Fusion Method Based on Adaptive Dilation Convolution for Small-Object Detection by Lin Cao, Jin Wu, Zongmin Zhao, Chong Fu, Dongfeng Wang

“…The network introduces an innovative attention mechanism into the YOLOv8 backbone, which effectively enhances the detection accuracy and robustness of small objects through fine-grained and coarse-grained attention routing on feature maps. …”
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An ensemble strategy for piRNA identification through hybrid moment-based feature modeling by Mansoor Ahmed Rasheed, Tamim Alkhalifah, Fahad Alturise, Yaser Daanial Khan

“…TranspoPred leverages positional, frequency, and moments-based features extracted from RNA sequences. By integrating multiple deep learning networks, the objective is to create a robust tool for forecasting transposon-derived piRNAs, thereby contributing to a deeper understanding of their biological functions and regulatory mechanisms. …”
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Metabolic modeling of endosymbiont genome reduction on a temporal scale by Keren Yizhak, Tamir Tuller, Balázs Papp, Eytan Ruppin

“…By optimizing this correlation across the space of potential growth and biomass conditions, we compute an upper bound estimate on the model's prediction accuracy (R=0.54). The model's network‐based predictive ability outperforms predictions obtained using genomic features of individual genes, reflecting the effect of selection imposed by metabolic stoichiometric constraints. …”
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Hierarchical Feature Fusion and Enhanced Attention Mechanism for Robust GAN-Generated Image Detection by Weinan Zhang, Sanshuai Cui, Qi Zhang, Biwei Chen, Hui Zeng, Qi Zhong

“…To address this issue, this paper proposes a deepfake image-detection network based on feature aggregation and enhancement. …”
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Extracting the Multimodal Fingerprint of Urban Transportation Networks by Luis Guillermo Natera Orozco, Federico Battiston, Gerardo Iñiguez, Michael Szell

“…Here we propose the overlap census method which extracts a multimodal profile from a city's multiplex transportation network. We apply this method to 15 cities, identify clusters of cities with similar profiles, and link this feature to the level of sustainable mobility of each cluster. …”
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Advancing Agile Software Cost Estimation Through Data Synthesis: A Comparative Analysis of Five Generation Techniques by Xiaoyan Zhao, Zulkefli Mansor, Rozilawati Razali, Mohd Zakree Ahmad Nazri, Xin Xiong

“…To address this issue, this study selected five data generation techniques—Variational Autoencoder (VAE), Wasserstein Generative Adversarial Network (WGAN), Synthetic Minority Over-sampling Technique for Nominal and Continuous Features (SMOTE-NC), Data Augmentation for Tabular Data (Augmentation), and Tabular Data Diffusion Probabilistic Models (TabDDPM)—based on the characteristics of agile cost data. …”
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Energy Efficiency in Network Slicing: Survey and Taxonomy by Adnei Willian Donatti, Marcia Cristina Machado, Marvin Alexander Lopez Martinez, Sabino S. Rogerio Antunes, Eli Carlos Figueiredo Souza, Sand L. Correa, Tiago C. Ferreto, Jose Augusto Suruagy, Joberto S. B. Martins, Tereza Cristina Carvalho

“…Network Slicing (NS) is a fundamental feature of 5G, 6G, and future mobile networks, enabling logically isolated virtual networks over shared infrastructure. …”
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A Multi-Time-Frequency Feature Fusion Approach for Marine Mammal Sound Recognition by Xiangxu Meng, Xin Liu, Yinan Xu, Yujing Wu, Hang Li, Kye-Won Kim, Suya Liu, Yihu Xu

“…This paper proposes an Evaluation-Adaptive Weighted Multi-Head Fusion Network that integrates CQT and STFT features via a dual-branch ResNet architecture. …”
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Infectious disease modeling of social contagion in networks. by Alison L Hill, David G Rand, David G Rand, Martin A Nowak, Nicholas A Christakis

“…Many behavioral phenomena have been found to spread interpersonally through social networks, in a manner similar to infectious diseases. …”
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Life Prediction Method of Remanufactured Machinery Equipment Based on Vibration Signal Feature Extraction by Bin Li, Le Kui, Jingdong Luo, Shiyong Chen

“…Finally, on the basis of completing feature extraction, this paper applies an unsupervised feature selection method. …”
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Optimal features assisted multi-attention fusion for robust fire recognition in adverse conditions by Inam Ullah, Nada Alzaben, Yousef Ibrahim Daradkeh, Mi Young Lee

“…Abstract Deep neural networks have significantly enhanced visual data-based fire detection systems. …”
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CDK: A novel high-performance transfer feature technique for early detection of osteoarthritis by Mohammad Shariful Islam, Mohammad Abu Tareq Rony

“…We applied several ML and DL approaches to the newly created feature set to evaluate performance. The CDK ensemble model outperformed state-of-the-art studies with a high-performance score of 99.72% accuracy. …”
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Skin-lesion segmentation using boundary-aware segmentation network and classification based on a mixture of convolutional and transformer neural networks by Javaria Amin, Marium Azhar, Habiba Arshad, Amad Zafar, Seong-Han Kim

“…Therefore, we propose a boundary-aware segmentation network (BASNet) model comprising prediction and residual refinement modules.Materials and methodsThe prediction module works like a U-Net and is densely supervised by an encoder and decoder. …”
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Remote Sensing Image Scene Classification Based on Mutual Learning With Complementary Multi-Features by Anzhi Chen, Mengyang Xu

“…First, a DenseNet-67 framework is adopted as the backbone network for local feature extraction, to identify multi-level image features. …”
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Thyroglobulin-to-tumor volume ratio combined with ultrasound features for diagnosing thyroid follicular neoplasms by Xixi Zhu, Xixi Zhu, Fen Liu, Jiaye Liu, Jiaye Liu, Zhihui Li, Yu Ma

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An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification by Santosh Kumar Chhotray, Debahuti Mishra, Sarada Prasanna Pati, Sashikala Mishra

“…This study enhances brain tumor classification by leveraging pre-trained models and attention mechanisms, ultimately improving accuracy and reliability in medical imaging diagnostics through feature extraction. A generative adversarial network (GAN) is employed for artifact removal, and images are resized to <inline-formula> <tex-math notation="LaTeX">$224\times 224$ </tex-math></inline-formula> pixels. …”
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DREFNet: Deep Residual Enhanced Feature GAN for VVC Compressed Video Quality Improvement by Tanni Das, Kiho Choi

“…The discriminator network, a crucial element of our proposed method, plays a vital role in guiding the generator by evaluating the authenticity of generated frames. …”
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End-to-end feature fusion for jointly optimized speech enhancement and automatic speech recognition by Mohamed Medani, Nasir Saleem, Fethi Fkih, Manal Abdullah Alohali, Hela Elmannai, Sami Bourouis

“…This approach integrates both the enhanced features and the raw noisy features, aiming to eliminate noise signals from the enhanced target speech while simultaneously learning fine details from the noisy signals. …”
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Building Type Classification Using CNN-Transformer Cross-Encoder Adaptive Learning From Very High Resolution Satellite Images by Shaofeng Zhang, Mengmeng Li, Wufan Zhao, Xiaoqin Wang, Qunyong Wu

“…., CNN-Transformer cross-attention feature fusion network (CTCFNet), for building type classification from very high resolution remote sensing images. …”
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Target Recognition Method Based on Graph Structure Perception of Invariant Features for SAR Images by Jingyi CAO, Yang ZHANG, Ya’nan YOU, Yamin WANG, Feng YANG, Weijia REN, Jun LIU

“…Guided by multilevel essential feature modeling theory, we propose a SAR image target recognition method based on graph networks and invariant feature perception. …”
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