Next generation sequencing under attack: investigating insider threats and organizational behaviour [0.03%]
下一代测序面临攻击：调查内部威胁和组织行为
Nasreen Anjum,Hani Alshahrani,Darakhshan Syed et al.
Nasreen Anjum et al.
Next generation sequencing (NGS) has become a cornerstone of modern genomics, enabling high-throughput analysis of DNA and RNA with wide applications across medicine, research, and biotechnology. However, the growing adoption of NGS technol...
A social information sensitive model for conversational recommender systems [0.03%]
一种用于会话推荐系统的社交信息敏感模型
Abdulaziz Mohammed,Mingwei Zhang,Gehad Abdullah Amran et al.
Abdulaziz Mohammed et al.
Conversational recommender systems (CRS) facilitate natural language interactions for more effective item suggestions. While these systems show promise, they face challenges in effectively utilizing and integrating informative data with con...
Luka Lukač,Andrej Nerat,Damjan Strnad et al.
Luka Lukač et al.
This article presents a novel method for direct noise injection into geometric shapes described by eight-or four-directional Freeman chain codes. Noise is applied to randomly selected segments of a chain code sequence using a set of predefi...
Haydar Yanık,Bülent Turan
Haydar Yanık
Today, image processing is used in many areas, especially artificial intelligence. This is because images are thought to contain a lot of information. In addition, many distance measurement studies have used image processing techniques. How...
Jianxiong Gao,Yi Cheng,Jianwei Gao
Jianxiong Gao
Predicting the outcomes of sports events is inherently difficult due to the unpredictable nature of gameplay and the complex interplay of numerous influencing factors. In this study, we present a deep learning framework that combines a one-...
A path aggregation network with deformable convolution for visual object detection [0.03%]
一种基于可形变卷积的路径聚合网络用于视觉目标检测方法
Chengming Rao,Zunhao Hu,QiMing Zhao et al.
Chengming Rao et al.
One of the main challenges encountered in visual object detection is the multi-scale issue. Many approaches have been proposed to tackle this issue. In this article, we propose a novel neck that can perform effective fusion of multi-scale f...
Keshav Sharma,Jyoti Arora,Pooja Kherwa et al.
Keshav Sharma et al.
Class imbalance is a prevalent challenge in image classification tasks, where certain classes are significantly underrepresented compared to others. This imbalance often leads to biased models that perform poorly in predicting minority clas...
Improving course evaluation processes in higher education institutions: a modular system approach [0.03%]
高等学校课程评价过程的改进：模块系统方法
İlker Kocaoğlu,Erinç Karataş
İlker Kocaoğlu
Course and instructor evaluations (CIE) are essential tools for assessing educational quality in higher education. However, traditional CIE systems often suffer from inconsistencies between structured responses and open-ended feedback, lead...
Xiaohui Dong,Xinyu Zhang,Zhengluo Li et al.
Xiaohui Dong et al.
As a key natural language processing (NLP) task, question generation (QG) is crucial for boosting educational quality and fostering personalized learning. This article offers an in-depth review of the research advancements and future direct...
Data trace as the scientific foundation for trusted metrological data: a review for future metrology direction [0.03%]
数据溯源是可信计量数据的科学基础——面向未来计量方向的评论文章
Zhanshuo Cao,Boyong Gao,Zilong Liu et al.
Zhanshuo Cao et al.
In the context of the digital transformation of metrology, ensuring the trustworthiness and integrity of measurement data during its generation, transmission, and storage-i.e., trustworthy detection of measurement data-has become a critical...