Multi-task advanced convolutional neural network for robust lymphoblastic leukemia diagnosis, classification, and segmentation [0.03%]
用于 robust 淋巴细胞白血病诊断、分类和分割的多任务先进卷积神经网络
Sercan Yalcin,Zuhal Cetin Yalcin,Muhammed Yildirim et al.
Sercan Yalcin et al.
Acute lymphoblastic leukemia (ALL), a hematologic malignancy characterized by the overproduction of immature lymphocytes, a type of white blood cell. Accurate and timely diagnosis of ALL is crucial for effective management. This article int...
Multicriteria scheduling of two-subassembly products with batch availability and precedence constraints [0.03%]
含批量可用性和优先级约束的双组件产品的多目标调度问题
Zhenxin Wen,Shuguang Li
Zhenxin Wen
This article studies the multicriteria problems of scheduling a set of n products on a fabrication facility, focusing on batch availability and precedence constraints. Each product is composed of two distinct subassemblies: a common subasse...
The accuracy-bias trade-offs in AI text detection tools and their impact on fairness in scholarly publication [0.03%]
AI文本检测工具的准确性与偏差权衡及其对学术出版公平性的影响
Ahmad R Pratama
Ahmad R Pratama
Artificial intelligence (AI) text detection tools are considered a means of preserving the integrity of scholarly publication by identifying whether a text is written by humans or generated by AI. This study evaluates three popular tools (G...
Zero-shot cross-lingual stance detection via adversarial language adaptation [0.03%]
基于对抗语言适应的零样本跨语种立场检测方法
Bharathi A,Arkaitz Zubiaga
Bharathi A
Stance detection has been widely studied as the task of determining if a social media post is positive, negative or neutral towards a specific issue, such as support towards vaccines. Research in stance detection has often been limited to a...
An evolutionary Bi-LSTM-DQN framework for enhanced recognition and classification in rural information management [0.03%]
一种用于农村信息管理的增强识别和分类的进化式Bi-LSTM-DQN框架
Taiping Deng,Xi He,Jiao Li et al.
Taiping Deng et al.
As deep learning and reinforcement learning technologies advance, intelligent rural information management is transforming substantially. This article presents an innovative framework, the evolutionary bidirectional long short-term memory d...
The DBCV index is more informative than DCSI, CDbw, and VIASCKDE indices for unsupervised clustering internal assessment of concave-shaped and density-based clusters [0.03%]
对于凹形和基于密度的簇的无监督聚类内部评估而言，DBCV指数比DCSI、CDbw和VIASKDE指数更具信息量
Davide Chicco,Giuseppe Sabino,Luca Oneto et al.
Davide Chicco et al.
Clustering methods are unsupervised machine learning techniques that aggregate data points into specific groups, called clusters, according to specific criteria defined by the clustering algorithm employed. Since clustering methods are unsu...
Marzuraikah Mohd Stofa,Fatimah Az Zahra Azizan,Mohd Asyraf Zulkifley
Marzuraikah Mohd Stofa
Aquatic animal husbandry is crucial for global food security and supports millions of livelihoods around the world. With the growing demand for seafood, this industry has become economically significant for many regions, contributing to loc...
Predicting academic performance for students' university: case study from Saint Cloud State University [0.03%]
预测圣克劳德州立大学学生的学术表现：案例研究
Bilal I Al-Ahmad,Abdullah Alzaqebah,Rami Alkhawaldeh et al.
Bilal I Al-Ahmad et al.
Predicting students' performance is one of the essential educational data mining approaches aimed at observing learning outcomes. Predicting grade point average (GPA) helps to monitor academic performance and assists advisors in identifying...
Self-learning type-2 fuzzy systems with adaptive rule reduction for time series forecasting [0.03%]
自适应规则减少的自我学习型2模糊系统在时间序列预测中的应用
Abdulwhab Alkharashi,Gaganjot Kaur,Hadeel Alsolai et al.
Abdulwhab Alkharashi et al.
In rapidly changing scenarios, uncertainty and chaotic oscillations often obstruct time series prediction. However, Type-1 fuzzy systems face challenges in handling high uncertainty levels, therefore, Type-2 fuzzy systems become a better so...
Further observations on the security of Speck32-like ciphers using machine learning [0.03%]
机器学习在Speck32密码算法安全中的进一步观察和研究
Zezhou Hou,Jiongjiong Ren,Shaozhen Chen
Zezhou Hou
With the widespread deployment of Internet of Things across various industries, the security of communications between different devices is one of the critical concerns to consider. The lightweight cryptography emerges as a specialized solu...