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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 +4 more
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NeoGuider: neoepitope prediction using advanced feature engineering [PDF]
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 +3 more
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Feature engineering methodology for congestion forecasting
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 +2 more
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MalFe—Malware Feature Engineering Generation Platform
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 +2 more
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A low sidelobe 77 GHz centre‐fed microstrip patch array antenna
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 +7 more
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Feature Engineering in Persian Dependency Parser [PDF]
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
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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 +2 more
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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 +2 more
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Deep Fusion Model Combining Explicit and Implicit Feature Interactions [PDF]
Feature engineering has significant effects on performance of machine learning algorithms,but its cost continues to grow with scaling Internet data.In order to reduce the dependence on feature engineering,this paper proposes a fusion model combining ...
NI Zhiwen, MA Xiaohu, SUN Xiao, BIAN Lina
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Hybrid Feature-Learning-Based PSO-PCA Feature Engineering Approach for Blood Cancer Classification
Acute lymphoblastic leukemia (ALL) is a lethal blood cancer that is characterized by an abnormal increased number of immature lymphocytes in the blood or bone marrow. For effective treatment of ALL, early assessment of the disease is essential.
Ghada Atteia +2 more
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