Md Sazzad Hosen
Md Sazzad Hosen
Battery health prognosis and monitoring require the information of the available battery capacity that Tian et al. (2021) proposes to acquire from a partial 10-min charging curve via a deep neural network. ...
Phe2vec: Automated disease phenotyping based on unsupervised embeddings from electronic health records [0.03%]
Phe2vec：基于电子健康记录的无监督嵌入自动疾病表型分析
Jessica K De Freitas,Kipp W Johnson,Eddye Golden et al.
Jessica K De Freitas et al.
Robust phenotyping of patients from electronic health records (EHRs) at scale is a challenge in clinical informatics. Here, we introduce Phe2vec, an automated framework for disease phenotyping from EHRs based on unsupervised learning and as...
Capture the high-efficiency non-fullerene ternary organic solar cells formula by machine-learning-assisted energy-level alignment optimization [0.03%]
机器学习辅助的能级对齐优化捕获高效率非全色烯三元有机太阳能电池公式
Tianyu Hao,Shifeng Leng,Yankang Yang et al.
Tianyu Hao et al.
Appropriate energy-level alignment in non-fullerene ternary organic solar cells (OSCs) can enhance the power conversion efficiencies (PCEs), due to the simultaneous improvement in charge generation/transportation and reduction in voltage lo...
Inferring gene regulatory networks from single-cell RNA-seq temporal snapshot data requires higher-order moments [0.03%]
从单细胞RNA序列时间快照数据推断基因调控网络需要更高阶的矩
N Alexia Raharinirina,Felix Peppert,Max von Kleist et al.
N Alexia Raharinirina et al.
Single-cell RNA sequencing (scRNA-seq) has become ubiquitous in biology. Recently, there has been a push for using scRNA-seq snapshot data to infer the underlying gene regulatory networks (GRNs) steering cellular function. To date, this asp...
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake [0.03%]
从初级序列准确预测B形式/A形式DNA构象倾向性：机器学习和自由能握手
Abhijit Gupta,Mandar Kulkarni,Arnab Mukherjee
Abhijit Gupta
DNA carries the genetic code of life, with different conformations associated with different biological functions. Predicting the conformation of DNA from its primary sequence, although desirable, is a challenging problem owing to the polym...
Ready, Steady, Go AI: A practical tutorial on fundamentals of artificial intelligence and its applications in phenomics image analysis [0.03%]
准备好，稳住，启动AI：关于人工智能基础及其在表型组图像分析中应用的实际教程
Farid Nakhle,Antoine L Harfouche
Farid Nakhle
High-throughput image-based technologies are now widely used in the rapidly developing field of digital phenomics and are generating ever-increasing amounts and diversity of data. Artificial intelligence (AI) is becoming a game changer in t...
Jeremy Leipzig,Daniel Nüst,Charles Tapley Hoyt et al.
Jeremy Leipzig et al.
Reproducible computational research (RCR) is the keystone of the scientific method for in silico analyses, packaging the transformation of raw data to published results. In addition to its role in research integrity, improving the reproduci...
Yan Liu,Xiaoqi Wei,Wenfang Chen et al.
Yan Liu et al.
Influential node identification plays a significant role in understanding network structure and functions. Here we propose a general method for detecting influential nodes in a graph-traversal framework. We evaluate the influence of each no...
Prithviraj Ammanabrolu,Mark O Riedl
Prithviraj Ammanabrolu
This paper provides a roadmap that explores the question of how to imbue learning agents with the ability to understand and generate contextually relevant natural language in service of achieving a goal. We hypothesize that two key componen...
Emre Kazim,Adriano Soares Koshiyama
Emre Kazim
Artificial intelligence (AI) ethics is a field that has emerged as a response to the growing concern regarding the impact of AI. It can be read as a nascent field and as a subset of the wider field of digital ethics, which addresses concern...