Tran van Canh, Loup Aubourg, Sébastien
Genes encoding small secreted peptides are widely distributed among plant genomes but their detection and annotation remains challenging. The bioinformatics protocol described here aims to identify as exhaustively as possible secreted peptide precursors belonging to a family of interest. First, homology searches are performed at the protein and gen...
Join, Cédric Jovellar, D. Blair Delaleau, Emmanuel Fliess, Michel
Recent advances in control theory yield closedloop neurostimulations for suppressing epileptiform seizures. These advances are illustrated by computer experiments which are easy to implement and to tune. The feedback synthesis is provided by an intelligent proportional-derivative (iPD) regulator associated to model-free control. This approach has a...
Gai, Guichao Qiu, Mei Zhang, Weiqiang Shi, Longqing
Published in
Scientific reports
Water richness evaluation of coal seam roofs is a crucial prerequisite for preventing and controlling water hazards in coal seam roofs. For this purpose, Spearman correlation and GeoDetector were employed for factor optimization to investigate the significance of lithological and structural factors and the impact of interactions among different fac...
Mukherjee, Arka Kumar Gourisaria, Mahendra
Artificial Intelligence (AI) and Machine learning (ML) models have proven to be scalable approaches for handling several biomedical problems. Recent availability of high-quality datasets which captures various factors contributing to the respiratory disease, have enabled the development of robust models that deliver high accuracy and precision scor...
Lonlac, Jerry Ouled Dlala, Imen Jabbour, Saïd Mephu Nguifo, Engelbert Raddaoui, Badran Saïs, Lakhdar
Gradual patterns extract useful knowledge from numerical databases as attribute co-variations. This article introduces a constraint-based modeling framework for the problem of extracting frequent gradual patterns from numerical data. Our declarative framework provides a principle way to take advantage of recent advancements in satisfiability testin...
Ndiaye, Yande Lezoche, Mario Panetto, Hervé Lu, Yan Yang, Zhuo
In Additive Manufacturing (AM), it is still a major challenge to manage part quality, which is heavily influenced by feedstock materials, process settings, and in-process control. Deviations in these factors can lead to defects in the final product, particularly in Laser-Powder Bed Fusion (L-PBF), an AM process that builds parts with high precision...
Du, Tianming Sun, Yihao Wang, Xinghao Jiang, Tao Xu, Ning Boukhers, Zeyd Grzegorzek, Marcin Sun, Hongzan Li, Chen
Published in
Frontiers in Medicine
Background Pneumonia and lung cancer have a mutually reinforcing relationship. Lung cancer patients are prone to contracting COVID-19, with poorer prognoses. Additionally, COVID-19 infection can impact anticancer treatments for lung cancer patients. Developing an early diagnostic system for COVID-19 pneumonia can help improve the prognosis of lung ...
Begle, Justin Rakita, Gordon
This event is interactive conversation for faculty who are new to exploring artificial intelligence (AI) and its impact on the higher education setting. We will briefly discuss the implications that the various types of AI, including machine learning and natural language processing are having on how faculty and students are working in a university ...
MASSARI, J. M. MOURA, D. J. de NÄÄS, I. de A. PEREIRA, D. F. OLIVEIRA, S. R. de M. BRANCO, T. BARROS, J. de S. G.
This study investigated the behavior sequences of broiler chickens housed in enriched environments subjected to thermal comfort and heat stress using the Generalized Sequential Pattern (GSP) data mining algorithm.
Ducharlet, Kévin Travé-Massuyès, Louise Lasserre, Jean-Bernard Le Lann, Marie-Véronique Miloudi, Youssef
Outlier detection holds significant importance in the realm of data mining, particularly with the growing pervasiveness of data acquisition methods. The ability to identify outliers in data streams is essential for maintaining data quality and detecting faults. However, dealing with data streams presents challenges due to the non-stationary nature ...