Results 1 to 10 of about 2,134,531 (182)

NeoGuider: neoepitope prediction using advanced feature engineering [PDF]

Genome Medicine
The design of neoepitope-based cancer immunotherapy requires predicting the immunogenicity of each patient-specific neoepitope candidate. We designed NeoGuider, a machine-learning model to address nonlinearity and class imbalance in such prediction ...
Xiaofei Zhao, Lei Wei, Zhen Xie, Xuegong Zhang   +3 more
doaj   +2 more sources

Feature Engineering for the Prediction of Scoliosis in 5q‐Spinal Muscular Atrophy [PDF]

Journal of Cachexia, Sarcopenia and Muscle
Background 5q‐Spinal muscular atrophy (SMA) is now one of the 5% treatable rare diseases worldwide. As disease‐modifying therapies alter disease progression and patient phenotypes, paediatricians and consulting disciplines face new unknowns in their ...
Tu‐Lan Vu‐Han, Vikram Sunkara, Rodrigo Bermudez‐Schettino, Jakob Schwechten, Robin Runge, Carsten Perka, Tobias Winkler, Sebastian Pokutta, Claudia Weiß, Matthias Pumberger   +9 more
doaj   +2 more sources

Review on Fault Detection and Diagnosis Feature Engineering in Building Heating, Ventilation, Air Conditioning and Refrigeration Systems

IEEE Access, 2021
Faults are inevitable in building energy systems, such as heating, ventilation, air conditioning and refrigeration systems. With the increasing utilization of these systems, their fault detection and diagnosis has become more significant for maintaining ...
Guannan Li, Yunpeng Hu, Jiangyan Liu, Xi Fang, Jing Kang   +4 more
doaj   +1 more source

Feature engineering methodology for congestion forecasting

Journal of Traffic and Transportation Engineering (English ed. Online), 2022
Short-term traffic forecasting is a key element in proactive traffic management, e.g., mitigating the negative effect of impending congestion through appropriate capacity allocation at signalized intersections.
Ayelet Gal-Tzur, Shlomo Bekhor, Yana Barsky   +2 more
doaj   +1 more source

MalFe—Malware Feature Engineering Generation Platform

Computers, 2023
The growing sophistication of malware has resulted in diverse challenges, especially among security researchers who are expected to develop mechanisms to thwart these malicious attacks. While security researchers have turned to machine learning to combat
Avinash Singh, Richard Adeyemi Ikuesan, Hein Venter   +2 more
doaj   +1 more source

A low sidelobe 77 GHz centre‐fed microstrip patch array antenna

IET Microwaves, Antennas & Propagation, 2023
A low sidelobe 77 GHz centre‐fed microstrip patch array antenna is proposed for automotive radar application. The proposed antenna comprises eight linear antenna arrays, each of which is centre‐fed by a coplanar waveguide with ground transmission line at
Qian Chen, Songlin Yan, Xinyue Guo, Wei Wang, Zhixiang Huang, Lixia Yang, Yingsong Li, Xianling Liang   +7 more
doaj   +1 more source

Feature Engineering with Regularity Structures [PDF]

Journal of Scientific Computing, 2021
AbstractWe investigate the use of models from the theory of regularity structures as features in machine learning tasks. A model is a polynomial function of a space–time signal designed to well-approximate solutions to partial differential equations (PDEs), even in low regularity regimes.
Chevyrev, Ilya, Gerasimovičs, Andris, Weber, Hendrik   +2 more
openaire   +3 more sources

Feature Engineering in Persian Dependency Parser [PDF]

Journal of Artificial Intelligence and Data Mining, 2019
Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar.
S. Lazemi, H. Ebrahimpour-komleh
doaj   +1 more source

A flexible feature selection approach for predicting students’ academic performance in online courses

Computers and Education: Artificial Intelligence, 2022
Educators' loss of ability to read students' comprehension level during the class through quick questions or nonverbal communication is one of the main challenges of online and blended learning. Many researchers recently tackled this problem by proposing
Ali Al-Zawqari, Dries Peumans, Gerd Vandersteen   +2 more
doaj   +1 more source

A Novel Approach for Stock Price Prediction Using Gradient Boosting Machine with Feature Engineering (GBM-wFE)

Kurdistan Journal of Applied Research, 2020
The prediction of stock prices has become an exciting area for researchers as well as academicians due to its economic impact and potential business profits.
Rebwar M. Nabi, Soran Ab. M. Saeed, Habibollah Harron   +2 more
doaj   +1 more source