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Towards deep understanding of graph convolutional networks for relation extraction. Data Knowl. Eng. 149: 102265 (2024) - Janez Krizaj, Richard Plesh, Mahesh Banavar, Stephanie Schuckers, Vitomir Struc:
Deep Face Decoder: Towards understanding the embedding space of convolutional networks through visual reconstruction of deep face templates. Eng. Appl. Artif. Intell. 132: 107941 (2024) - Yi Pan, Ling Hao, Jianliang He, Kun Ding, Qiang Yu, Yulin Wang:
Deep convolutional neural network based on self-distillation for tool wear recognition. Eng. Appl. Artif. Intell. 132: 107851 (2024) - Hatice Catal Reis, Veysel Turk:
Potato leaf disease detection with a novel deep learning model based on depthwise separable convolution and transformer networks. Eng. Appl. Artif. Intell. 133: 108307 (2024) - Sangmin Seo, Jonghwan Choi, Seungyeon Choi, Jieun Lee, Chihyun Park, Sanghyun Park:
Pseq2Sites: Enhancing protein sequence-based ligand binding-site prediction accuracy via the deep convolutional network and attention mechanism. Eng. Appl. Artif. Intell. 127(Part A): 107257 (2024) - Yuyol Shin, Namwoo Kim, Hyeyeong Lee, Soh Young In, Mark Hansen, Yoonjin Yoon:
Deep learning framework for vessel trajectory prediction using auxiliary tasks and convolutional networks. Eng. Appl. Artif. Intell. 132: 107936 (2024) - Yidi Wang, Yawen Shen, Behrouz Salahshour, Mecit Cetin, Khan Iftekharuddin, Navid Tahvildari, Guoping Huang, Devin K. Harris, Kwame Ampofo, Jonathan L. Goodall:
Urban flood extent segmentation and evaluation from real-world surveillance camera images using deep convolutional neural network. Environ. Model. Softw. 173: 105939 (2024) - Kai Xu, Siyuan Zhao, Chonglong Wu, Sui Zhang, Liangjun Yuan, Changyu Yang, Yan Li, Yang Dong, Yongjin Wu, Shize Xiang, Chunfang Kong:
Manganese mineral prospectivity based on deep convolutional neural networks in Songtao of northeastern Guizhou. Earth Sci. Informatics 17(2): 1681-1697 (2024) - Kamakhya Bansal, Ashish Kumar Tripathi, Avinash Chandra Pandey, Vivek Sharma:
RfGanNet: An efficient rainfall prediction method for India and its clustered regions using RfGan and deep convolutional neural networks. Expert Syst. Appl. 235: 121191 (2024) - Sai chaitanya Kumar Gunupudi, Reddi Kiran Kumar, Parish venkata Kumar Kuricheti, Nallagatla Raghavendra Sai, Madamachi Brahmaiah:
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MITDCNN: A multi-modal input Transformer-based deep convolutional neural network for misfire signal detection in high-noise diesel engines. Expert Syst. Appl. 238(Part A): 121797 (2024) - Qianxi Zhao, Liu Yang, Nengchao Lyu:
A driver stress detection model via data augmentation based on deep convolutional recurrent neural network. Expert Syst. Appl. 238(Part E): 122056 (2024) - Nusrat Mohi ud din, Assif Assad, Rayees Ahmad Dar, Muzafar Rasool, Saqib Ul Sabha, Tabasum Majeed, Zahir Ul Islam, Wahid Gulzar, Aamir Yaseen:
RiceNet: A deep convolutional neural network approach for classification of rice varieties. Expert Syst. Appl. 235: 121214 (2024) - C. Silpa, A. Vani, K. Rama Naidu:
Optimized deep learning based hypernet convolution neural network and long short term memory for joint pilot design and channel estimation in MIMO-OFDM model. Trans. Emerg. Telecommun. Technol. 35(1) (2024) - Qiyan Fu, Weidong Min, Chunbo Li, Haoyu Zhao, Ye Cao, Meng Zhu:
MSCNet: Dense vehicle counting method based on multi-scale dilated convolution channel-aware deep network. GeoInformatica 28(2): 245-269 (2024) - Rahib Hidayat Abiyev, Joseph Adepoju:
Automatic Food Recognition Using Deep Convolutional Neural Networks with Self-attention Mechanism. Hum. Centric Intell. Syst. 4(1): 171-186 (2024) - Jun Wang, Yuanxi Wang:
FD technology for HSs based on deep convolutional generative adversarial networks. Int. Arab J. Inf. Technol. 21(2): 299-312 (2024) - Mei Li, Qi Liu:
An inverse halftoning method based on supervised deep convolutional neural network. IET Image Process. 18(4): 961-971 (2024) - Yuhan Chen, Qingfeng Li, Dongxin Lu, Wende Ke, Wenming Cui, Lei Kou:
Deep-DSP: deep convolutional network with double spatial pyramid for tongue image segmentation. Int. J. Bio Inspired Comput. 23(3): 157-167 (2024) - Syed Azeem Inam, Daniyal Iqbal, Hassan Hashim, Mansoor Ahmed Khuhro:
An empirical approach towards detection of tuberculosis using deep convolutional neural network. Int. J. Data Min. Model. Manag. 16(1): 101-112 (2024) - Jayamala Dhananjay Pakhare, Mahadev D. Uplane:
Hybrid Mayfly Lévy Flight Distribution Optimization Algorithm-Tuned Deep Convolutional Neural Network for Indoor-Outdoor Image Classification. Int. J. Image Graph. 24(2): 2450024:1-2450024:27 (2024) - Yongbin Zheng, Peng Sun, Qiang Ren, Wanying Xu, Di Zhu:
A novel and efficient model pruning method for deep convolutional neural networks by evaluating the direct and indirect effects of filters. Neurocomputing 569: 127124 (2024) - B. Veena Vani, C. D. Guruprakash:
Effective IoT-based crop disease prediction using localise search traversing coupled with deep convolutional neural network classifier. Int. J. Wirel. Mob. Comput. 26(2): 168-181 (2024) - K. Kausalya, S. Kanaga Suba Raja:
OTRN-DCN: An optimized transformer-based residual network with deep convolutional network for action recognition and multi-object tracking of adaptive segmentation using soccer sports video. Int. J. Wavelets Multiresolution Inf. Process. 22(1): 2350034:1-2350034:31 (2024) - Xiuyan Li, Ruotong Ding, Qi Wang, Zhenyu Yang, Xiaojie Duan, Yukuan Sun, Aidong Liu:
EENet: Application of convolutional neural network-based deep learning methods in bone tumor pathological diagnosis. Int. J. Imaging Syst. Technol. 34(3) (2024) - Moona Mazher, Abdul Qayyum, Domenec Puig, Mohamed Abdel-Nasser:
Deep learning-based survival prediction of brain tumor patients using attention-guided 3D convolutional neural network with radiomics approach from multimodality magnetic resonance imaging. Int. J. Imaging Syst. Technol. 34(1) (2024) - Rajat Mehrotra, M. A. Ansari, Rajeev Agrawal, Hisham Al-Ward, Pragati Tripathi, Jay Singh:
An enhanced framework for identifying brain tumor using discrete wavelet transform, deep convolutional network, and feature fusion-based machine learning techniques. Int. J. Imaging Syst. Technol. 34(1) (2024) - Ngangbam Herojit Singh, N. R. Gladiss Merlin, R. Thandaiah Prabu, Deepak Gupta, Meshal Alharbi:
Multi-classification of brain tumor by using deep convolutional neural network model in magnetic resonance imaging images. Int. J. Imaging Syst. Technol. 34(1) (2024) - Itai Dagan, Roman Vainshtein, Gilad Katz, Lior Rokach:
Automated algorithm selection using meta-learning and pre-trained deep convolution neural networks. Inf. Fusion 105: 102210 (2024) - May Alsaidi, Nadim Obeid, Nailah Al-Madi, Hazem Hiary, Ibrahim Aljarah:
A Convolutional Deep Neural Network Approach to Predict Autism Spectrum Disorder Based on Eye-Tracking Scan Paths. Inf. 15(3): 133 (2024)