TTG-Text: A Graph-Based Text Representation Framework Enhanced by Typical Testors for Improved Classification by Carlos Sánchez-Antonio, José E. Valdez-Rodríguez, Hiram Calvo

“…This paper introduces TTG-Text, a novel framework that strengthens graph-based text representation by integrating typical testors—a symbolic feature selection technique that refines feature importance while reducing dimensionality. …”
Get full text

Deep Reinforcement Learning-Based Multi-Agent System with Advanced Actor–Critic Framework for Complex Environment by Zihao Cui, Kailian Deng, Hongtao Zhang, Zhongyi Zha, Sayed Jobaer

Get full text

A hybrid attention-based deep learning framework for precise early diagnosis of Alzheimer’s disease by Romoke Grace Akindele, Shixin Cen, Ming Yu, Ifeoluwapo Aribilola, Tian Xinrang, Yu Liu

“…To address these limitations, we propose a novel deep learning framework that enhances the diagnostic performance of a pre-trained ResNet-50 model by integrating a Convolutional Block Attention Module (CBAM) and Multi-Head Self-Attention (MHSA). …”
Get full text

Two-Stage Video Violence Detection Framework Using GMFlow and CBAM-Enhanced ResNet3D by Mohamed Mahmoud, Bilel Yagoub, Mostafa Farouk Senussi, Mahmoud Abdalla, Mahmoud Salaheldin Kasem, Hyun-Soo Kang

“…This paper proposes a two-stage framework for detecting violent actions in video sequences. …”
Get full text

A digital twin-enabled fog-edge-assisted IoAT framework for Oryza Sativa disease identification and classification by Goluguri N.V. Rajareddy, Kaushik Mishra, Satish Kumar Satti, Gurpreet Singh Chhabra, Kshira Sagar Sahoo, Amir H. Gandomi

Get full text

BPFun: a deep learning framework for bioactive peptide function prediction using multi-label strategy by transformer-driven and sequence rich intrinsic information by Lun Zhu, Hao Sun, Sen Yang

Get full text

Advancing irrigation uniformity monitoring through remote sensing: A deep-learning framework for identifying the source of non-uniformity by Ígor Boninsenha, Daran R. Rudnick, Everardo C. Mantovani, Higor de Q. Ribeiro

Get full text

Diagnosis of Lung Cancer Using Endobronchial Ultrasonography Image Based on Multi-Scale Image and Multi-Feature Fusion Framework by Huitao Wang, Takahiro Nakajima, Kohei Shikano, Yukihiro Nomura, Toshiya Nakaguchi

Get full text

A Novel Framework for Real ICMOS Image Denoising: LD-NGN Noise Modeling and a MAST-Net Denoising Network by Yifu Luo, Ting Zhang, Ruizhi Li, Bin Zhang, Nan Jia, Liping Fu

Get full text

An action decoding framework combined with deep neural network for predicting the semantics of human actions in videos from evoked brain activities by Yuanyuan Zhang, Manli Tian, Baolin Liu

Get full text

A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture by Mahmoud Khaled Elfouly, Amr M. AbdelAziz, Wael Hassan Gomaa, Mohammed Abdalla

Get full text

A Robust and Versatile Numerical Framework for Modeling Complex Fractional Phenomena: Applications to Riccati and Lorenz Systems by Waleed Mohammed Abdelfattah, Ola Ragb, Mohamed Salah, Mokhtar Mohamed

Get full text

End-to-end data extraction framework from unstructured geotechnical investigation reports via integrated deep learning and text mining techniques by Jimin Park, Wanhyuk Seo, Tae Sup Yun

“…The framework begins with page classification using a hybrid approach combining a convolutional neural network and a text mining algorithm, followed by page layout analysis to determine components such as title, text, table, and figure. …”
Get full text

CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition by Zhouyu Ji, Shuran Li, Hongfei Zhang, Chuangquan Chen, Qian Xu, Junhua Li, Hongtao Wang

“…Methods: This study proposed a deep-learning analysis framework called Convolutional Block Attention Module-Deep Convolutional Neural Network (CBAM-DeepConvNet) to decode aVEPs-based characters. …”
Get full text

Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation by Abdul Karim, Semin Ryu, In cheol Jeong

“…An ensemble learning framework was developed by integrating Random Forest, Support Vector Machines (SVM), and Convolutional Neural Networks (CNN) to classify spectrogram images generated from percussion and palpation signals. …”
Get full text

HierbaNetV1: a novel feature extraction framework for deep learning-based weed identification by Justina Michael, Thenmozhi Manivasagam

“…Extracting the essential features and learning the appropriate patterns are the two core character traits of a convolution neural network (CNN). Leveraging the two traits, this research proposes a novel feature extraction framework code-named ‘HierbaNetV1’ that retrieves and learns effective features from an input image. …”
Get full text

Conv1D-GRU-Self Attention: An Efficient Deep Learning Framework for Detecting Intrusions in Wireless Sensor Networks by Kenan Honore Robacky Mbongo, Kanwal Ahmed, Orken Mamyrbayev, Guanghui Wang, Fang Zuo, Ainur Akhmediyarova, Nurzhan Mukazhanov, Assem Ayapbergenova

“…This study proposes a hybrid IDS model combining one-dimensional Convolutional Neural Networks (Conv1Ds), Gated Recurrent Units (GRUs), and Self-Attention mechanisms. …”
Get full text

PSR-LeafNet: A Deep Learning Framework for Identifying Medicinal Plant Leaves Using Support Vector Machines by Praveen Kumar Sekharamantry, Marada Srinivasa Rao, Yarramalle Srinivas, Archana Uriti

Get full text

A Novel Context-Aware Feature Pyramid Networks With Kolmogorov-Arnold Modeling and XAI Framework for Robust Lung Cancer Detection by Yajnaseni Dash, Sudhir C. Sarangi, Vinayak Gupta, Naween Kumar, Ajith Abraham

Get full text

A Novel Framework for Improving Soil Organic Carbon Mapping Accuracy by Mining Temporal Features of Time-Series Sentinel-1 Data by Zhibo Cui, Bifeng Hu, Songchao Chen, Nan Wang, Defang Luo, Jie Peng

Get full text