Results 11 to 20 of about 524,719 (351)
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
doaj +2 more sources
The maturity of kiwifruit is widely gauged by its soluble solids content (SSC), with accurate assessment being essential to guarantee the fruit’s quality.
Wei Xu +7 more
doaj +2 more sources
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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Objective: Epilepsy prediction algorithms offer patients with drug-resistant epilepsy a way to reduce unintended harm from sudden seizures. The purpose of this study is to investigate the applicability of transfer learning (TL) technique and model inputs
Shuaicong Hu +7 more
doaj +2 more sources
A Feature Engineering Method for Smartphone-Based Fall Detection [PDF]
A fall is defined as an event in which a person inadvertently comes to rest on the ground, floor, or another lower level. It is the second leading cause of unintentional death worldwide, with the elderly population (aged 65 and above) at the highest risk.
Pengyu Guo, Masaya Nakayama
doaj +2 more sources
Feature Engineering with Regularity Structures [PDF]
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 +2 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
doaj +1 more source

