Gamify4LexAmb: a gamification-based approach to address lexical ambiguity in natural language requirements [0.03%]
基于游戏机制解决自然语言需求中词汇歧义的方法
Hafsa Dar,Romana Aziz,Javed Ali Khan et al.
Hafsa Dar et al.
Ambiguity is a common challenge in specifying natural language (NL) requirements. One of the reasons for the occurrence of ambiguity in software requirements is the lack of user involvement in requirements elicitation and inspection phases....
Bio-Rollup: a new privacy protection solution for biometrics based on two-layer scalability-focused blockchain [0.03%]
生物卷积：一种基于两层可扩展性聚焦区块链的新型生物识别隐私保护解决方案
Jian Yun,Yusheng Lu,Xinyang Liu et al.
Jian Yun et al.
The increased use of artificial intelligence generated content (AIGC) among vast user populations has heightened the risk of private data leaks. Effective auditing and regulation remain challenging, further compounding the risks associated ...
A novel adaptive weight bi-directional long short-term memory (AWBi-LSTM) classifier model for heart stroke risk level prediction in IoT [0.03%]
一种用于IoT中卒中风险等级预测的自适应权重双向长短时记忆(AWBi-LSTM)分类器模型的新方法
S Thumilvannan,R Balamanigandan
S Thumilvannan
Stroke prediction has become one of the significant research areas due to the increasing fatality rate. Hence, this article proposes a novel Adaptive Weight Bi-Directional Long Short-Term Memory (AWBi-LSTM) classifier model for stroke risk ...
Guoqing Jiang,Saiya Li,Ziyu Huang et al.
Guoqing Jiang et al.
Point clouds are highly regarded in the field of 3D object detection for their superior geometric properties and versatility. However, object occlusion and defects in scanning equipment frequently result in sparse and missing data within po...
MFAM-AD: an anomaly detection model for multivariate time series using attention mechanism to fuse multi-scale features [0.03%]
基于注意力机制融合多尺度特征的多变量时间序列异常检测模型MFAM-AD
Shengjie Xia,Wu Sun,Xiaofeng Zou et al.
Shengjie Xia et al.
Multivariate time series anomaly detection has garnered significant attention in fields such as IT operations, finance, medicine, and industry. However, a key challenge lies in the fact that anomaly patterns often exhibit multi-scale tempor...
Frequency distribution-aware network based on discrete cosine transformation (DCT) for remote sensing image super resolution [0.03%]
基于离散余弦变换的频域分布感知网络的遥感图像超分辨率重建方法
Yunsong Li,Debao Yuan
Yunsong Li
Single-image super-resolution technology based on deep learning is widely used in remote sensing. The non-local feature reflects the correlation information between different regions. Most neural networks extract various non-local informati...
Optimizing agricultural data security: harnessing IoT and AI with Latency Aware Accuracy Index (LAAI) [0.03%]
基于LAAI的农业数据安全优化：利用物联网和人工智能技术
Omar Bin Samin,Nasir Ahmed Abdulkhader Algeelani,Ammar Bathich et al.
Omar Bin Samin et al.
The integration of Internet of Things (IoT) and artificial intelligence (AI) technologies into modern agriculture has profound implications on data collection, management, and decision-making processes. However, ensuring the security of agr...
An efficient intrusion detection system for IoT security using CNN decision forest [0.03%]
一种基于CNN决策森林的IoT安全入侵检测系统
Kamal Bella,Azidine Guezzaz,Said Benkirane et al.
Kamal Bella et al.
The adoption and integration of the Internet of Things (IoT) have become essential for the advancement of many industries, unlocking purposeful connections between objects. However, the surge in IoT adoption and integration has also made it...
Wormhole attack detection and mitigation model for Internet of Things and WSN using machine learning [0.03%]
基于机器学习的物联网和WSN虫洞攻击检测与抑制模型
Asma Hassan Alshehri
Asma Hassan Alshehri
The Internet of Things (IoT) is revolutionizing diverse sectors like business, healthcare, and the military, but its widespread adoption has also led to significant security challenges. IoT networks, in particular, face increasing vulnerabi...
YOLOv8-Coal: a coal-rock image recognition method based on improved YOLOv8 [0.03%]
基于改进的YOLOv8的煤岩图像识别方法-YOLOv8-Coal
Wenyu Wang,Yanqin Zhao,Zhi Xue
Wenyu Wang
To address issues such as misdetection and omission due to low light, image defocus, and worker occlusion in coal-rock image recognition, a new method called YOLOv8-Coal, based on YOLOv8, is introduced to enhance recognition accuracy and pr...