Furthermore, dynamics of interaction of multiple proteins still present open challenges in the field. Moving forward, it will be important to monitor the application of DL to these follow up research areas. Major successes of DL Protein function prediction Predicting protein function is a natural ...
This special session aims to bring together the current research progress on Deep Learning theories and applications. Special attention will be devoted to handle advanced issues of network architecture design, real-time performance criteria for various applications and diverse application areas. Topics: ...
His research interests include intelligent robot advanced control technology and integrated applications, control of embedded mechanical and electrical integration, intelligent manufacturing development strategy consulting. Hui Liureceived the B. Sc. degree in School of Engineering, Southwest Jiaotong University,...
It also aims to identify challenges faced by DL in this context and to explore avenues for its future development. Through these detailed analyses, our objective is to inform future research directions and promote the integration of DL into EC diagnostic and treatment strategies, thereby enhancing ...
deep learning systems into experimental workflows in a closed-loop manner or the adoption of federated machine learning techniques to overcome data sharing barriers. Other challenges include, but are not limited to interpretability in generative models, more sophisticated metrics for the evaluation of ...
In the spring of 2022, AG2PI asked members of its scientific advisory board and steering committee to list what they “view as the most critical opportunities and challenges in the area of AG2P research.” This input was categorized and the following eight emerging themes, or “topics” (...
Finally, we discuss future research directions and overall conclusions are presented. 2. From smartphone data to informed decision making: an analysis framework Transforming smartphones sensors streams to meaningful information of driving behavior in not a straightforward process. First, data gathered from...
performance in drug discovery tasks.To discuss the limitations and technical considerations associated with each of these data handling technique.To provide insights and recommendations for future research directions aimed at overcoming data scarcity challenges and maximizing the utility of AI in drug ...
it is based and the evidence from which they have drawn their proposals. At the same time, McKeown (1985) [85] demonstrated that rhetorical schemas could be used for producing both linguistically coherent and communicatively effective text. Some research in NLP marked important topics for future ...
RESEARCH LETTER PUBLIC HEALTH JANUARY 31, 2025 Inequalities at Age of Diagnosis of Severe Mental Illness in England Sheena E. Ramsay, PhD; Ziyi Cai, PhD; David R. Sinclair, PhD; et al. This cohort study evaluates whether socioeconomic factors, including sex, race and ethnicity, material...