Morphological and structural complexity analysis of low-resource English-Turkish language pair using neural machine translation models [0.03%]
基于神经机器翻译模型的低资源英语-土耳其语词形和结构复杂性分析
Mehmet Acı,Nisa Vuran Sarı,Çiğdem İnan Acı
Mehmet Acı
Neural machine translation (NMT) has achieved remarkable success in high-resource language pairs; however, its effectiveness for morphologically rich and low-resource languages like Turkish remains underexplored. As a highly agglutinative a...
Hyperparameter optimization of XGBoost and hybrid CnnSVM for cyber threat detection using modified Harris hawks algorithm [0.03%]
基于改进的哈里斯鹰算法的Xgboost和混合CNN_SVM的超参数优化用于网络威胁检测
Haitham Elwahsh,Ali Bakhiet,Tarek Khalifa et al.
Haitham Elwahsh et al.
The escalating complexity of cyber threats in smart microgrids necessitates advanced detection frameworks to counter sophisticated attacks. Existing methods often underutilize optimization techniques like Harris hawks optimization (HHO) and...
Advanced clustering and transfer learning based approach for rice leaf disease segmentation and classification [0.03%]
基于高级聚类和迁移学习的水稻叶片疾病分割与分类方法
Samia Nawaz Yousafzai,Fahd N Al-Wesabi,Hadeel Alsolai et al.
Samia Nawaz Yousafzai et al.
Rice, the world's most important food crop, requires an early and accurate identification of the diseases that infect rice panicles and leaves to increase production and reduce losses. Most conventional methods of diagnosing diseases involv...
An interpretable credit risk assessment model with boundary sample identification [0.03%]
一种识别边值样本的可释信用风险评估模型
Runchi Zhang,Iris Li,Zhiyuan Ding
Runchi Zhang
Background: Interpretability is a key requirement for ensuring that credit risk assessment models are trustworthy and compliant with regulatory standards. Simultaneously, effectively distinguishing between noise samples a...
Taxonomy-based approach for understanding and enhancing security culture in universities [0.03%]
基于分类学的安全文化理解与提升的高校安全文化taxonomy-Based Approach综述及展望
Mona Albinali,Mahmood Niazi,Mohammad Alshayeb et al.
Mona Albinali et al.
Context: Recent studies have highlighted a growing interest in security culture. Frameworks and standards currently exist, offering cybersecurity regulatory guidelines for organizations both locally and internationally, a...
iDILI-MT: identifying drug-induced liver injury compounds with a multi-head Transformer [0.03%]
基于多头Transformer的药物性肝损伤化合物识别模型IDILI-MT
Wanrong Zheng,Fobao Lai
Wanrong Zheng
Drug-induced liver injury (DILI) is a leading cause of late-stage drug attrition and post-approval withdrawals, making early in silico risk assessment essential for drug safety. We present iDILI-MT (identifying drug-induced liver injury com...
A comprehensive approach for waste management with GAN-augmented classification [0.03%]
一种基于GAN增强分类的全面废物管理方法
Yashashree Mahale,Nida Khan,Kunal Kulkarni et al.
Yashashree Mahale et al.
Image processing and computer vision highly rely on data augmentation in machine learning models to increase the diversity and variability within training datasets for better performance. One of the most promising and widely used applicatio...
Design of artwork resource management system based on block classification coding and bit plane rearrangement [0.03%]
基于区块分类编码与位平面重排的艺术品资源管理系统设计
Xiaomeng Xia
Xiaomeng Xia
With the vigorous development of the art market, the management of art resources is confronted with increasingly difficult challenges, such as copyright protection, authenticity verification, and efficient storage. Currently, the digital wa...
Identification of core sub-team on scientific collaboration networks with Shapley method [0.03%]
基于合作网络的科研核心子团队识别：一种夏普利值方法
Lixin Zhou,Chen Liu,Xue Song
Lixin Zhou
Identifying the core sub-teams that drive productivity in scientific collaboration networks is essential for research evaluation and team management. However, existing methods typically rank individual researchers by bibliometric impact or ...
Efficient sepsis detection using deep learning and residual convolutional networks [0.03%]
基于深度学习和残差卷积网络的高效脓毒症检测方法
Ahmed S Almasoud,Ghada Moh Samir Elhessewi,Munya A Arasi et al.
Ahmed S Almasoud et al.
Sepsis is a life-threatening complication caused by infection that leads to extensive tissue damage. If not treated promptly, it can become fatal. Early identification and diagnosis of sepsis are critical to improving patient outcomes. Alth...