Table of contents
Hypergraph contrastive learning for recommendation with side information
Dun Ao, Qian Cao, Xiaofeng WangThis paper addresses the limitations of current graph neural network-based recommendation systems, which often neglect the integration of side information and the modeling of…
A novel ensemble causal feature selection approach with mutual information and group fusion strategy for multi-label data
Yifeng Zheng, Xianlong Zeng, Wenjie Zhang, Baoya Wei, Weishuo Ren, Depeng QingAs intelligent technology advances, practical applications often involve data with multiple labels. Therefore, multi-label feature selection methods have attracted much attention…
Optimization of semi-supervised generative adversarial network models: a survey
Yongqing Ma, Yifeng Zheng, Wenjie Zhang, Baoya Wei, Ziqiong Lin, Weiqiang Liu, Zhehan LiWith the development of intelligent technology, deep learning has made significant progress and has been widely used in various fields. Deep learning is data-driven, and its…
X-News dataset for online news categorization
Samia Nawaz Yousafzai, Hooria Shahbaz, Armughan Ali, Amreen Qamar, Inzamam Mashood Nasir, Sara Tehsin, Robertas DamaševičiusThe objective is to develop a more effective model that simplifies and accelerates the news classification process using advanced text mining and deep learning (DL) techniques. A…
Agent-SwinPyramidNet: an enhanced deep learning model with AMTCF-VMD for anomaly detection in oil and gas pipelines
Yizhuo Zhang, Yunfei Zhang, Huiling Yu, Shen ShiThe anomaly detection task for oil and gas pipelines based on acoustic signals faces issues such as background noise coverage, lack of effective features, and small sample sizes…
ConjunctiveNet: an improved deep learning-based conjunctive-eyes segmentation and severity detection model
Seema Pahwa, Amandeep Kaur, Poonam Dhiman, Robertas DamaševičiusThe study aims to enhance the detection and classification of conjunctival eye diseases' severity through the development of ConjunctiveNet, an innovative deep learning framework…
MFLD: lightweight object detection with multi-receptive field and long-range dependency in remote sensing images
Weixing Wang, Yixia Chen, Mingwei LinBased on the strong feature representation ability of the convolutional neural network (CNN), generous object detection methods in remote sensing (RS) have been proposed one after…
A ranking framework for the selection of IoT cloud platforms using hybrid multi-attribute decision-making method
Supriya Raheja, Rakesh Garg, Ritvik GargThe Internet of Things (IoT) cloud platforms provide end-to-end solutions that integrate various capabilities such as application development, device and connectivity management…
Consensus model for probabilistic linguistic multi-attribute group decision-making based on incomplete social trust networks
Kaiying Kang, Jialiang Xie, Xiaohui Liu, Jianxiang QiuExperts may adjust their assessments through communication and mutual influence, and this dynamic evolution relies on the spread of internal trust relationships. Due to…
A method for recognizing abnormal behaviors of personnel at petroleum stations based on GTB-ResNet
Huiling Yu, Sijia Dai, Shen Shi, Yizhuo ZhangThe abnormal behaviors of staff at petroleum stations pose significant safety hazards. Addressing the challenges of high parameter counts, lengthy training periods and low…
ISSN:
1756-378Xe-ISSN:
1756-3798ISSN-L:
1756-378XOnline date, start – end:
2008Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditors:
- Prof Adil Baykasoglu
- Prof. Dr. Gandolfo Dominici