A DDoS Attack Detection Method Based on Hybrid Heterogeneous Multiclassifier Ensemble Learning by Bin Jia, Xiaohong Huang, Rujun Liu, Yan Ma

“…To get the higher True Negative Rate (TNR), accuracy, and precision and to guarantee the robustness, stability, and universality of detection system, in this paper, we propose a DDoS attack detection method based on hybrid heterogeneous multiclassifier ensemble learning and design a heuristic detection algorithm based on Singular Value Decomposition (SVD) to construct our detection system. …”
Get full text

The Relationship Between Consumption Power and GDP Growth in China and Machine Learning Prediction Analysis by Hu Runsong

“…The paper examines the use of machine learning for predicting consumption capacity by integrating various economic models, including Support Vector Regression (SVR) and Long Short-Term Memory Network (LSTM). …”
Get full text

The Effect of Initial State Error for Nonlinear Systems with Delay via Iterative Learning Control by Zhang Qunli

“…An iterative learning control problem for nonlinear systems with delays is studied in detail in this paper. …”
Get full text

Detecting Subtle Cyberattacks on Adaptive Cruise Control Vehicles: A Machine Learning Approach by Tianyi Li, Mingfeng Shang, Shian Wang, Raphael Stern

Subjects: Get full text

Computer Deep Learning Network Security Vulnerability Detection Based on Virtual Reality Technology by Xiaokun Zheng

Get full text

Unfavorable Tumor Responses to Immunotherapy in the Liver: Lessons Learned from Clinical and Preclinical Studies by Li-Chun Lu, Gen-Sheng Feng, Chih-Hung Hsu

Get full text

A Secure Learned Image Codec for Authenticity Verification via Self-Destructive Compression by Chen-Hsiu Huang, Ja-Ling Wu

Subjects: “…secure learned image codec…”
Get full text

Prefrontal cortex synchronization with the hippocampus and parietal cortex is strategy-dependent during spatial learning by Francisca García, Maria-José Torres, Lorena Chacana-Véliz, Nelson Espinosa, Wael El-Deredy, Pablo Fuentealba, Ignacio Negrón-Oyarzo

“…Abstract During spatial learning, subjects progressively adjust their navigation strategies as they acquire experience. …”
Get full text

A cooperative jamming decision-making method based on multi-agent reinforcement learning by Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu

Subjects: Get full text

Fault Diagnosis Method of Distribution Equipment Based on Hybrid Model of Robot and Deep Learning by Shan Rongrong, Ma Zhenyu, Ye Hong, Lin Zhenxing, Qiu Gongming, Ge Chengyu, Lu Yang, Yu Kun

“…In view of the poor effect of most fault diagnosis methods on the intelligent recognition of equipment images, a fault diagnosis method of distribution equipment based on the hybrid model of robot and deep learning is proposed to reduce the dependence on manpower and realize efficient intelligent diagnosis. …”
Get full text

Application of the Different Machine Learning Algorithms to Predict Dry Matter Intake in Feedlot Cattle by Hayati Köknaroğlu, Özgür Koşkan, Malik Ergin

Subjects: Get full text

Online learning during the COVID-19 pandemic: Medical students’ perspective of challenges and barriers by Loma Al-Mansouri, Firas R. Al-Obaidi, Noor Ahmed Abdullah

Subjects: Get full text

Efficient multi-omics clustering with bipartite graph subspace learning for cancer subtype prediction by Shuwei Zhu, Hao Liu, Meiji Cui

“…Therefore, we proposed an efficient multi-omics bipartite graph subspace learning anchor-based clustering (MBSLC) method to identify cancer subtypes. …”
Get full text

Teacher's role in emergency e-learning by covid-19 in a chilean dental school by Andres Diaz Trujillo, Verónica Romo, Hernan Pavez Alfaro

Get full text

Real world federated learning with a knowledge distilled transformer for cardiac CT imaging by Malte Tölle, Philipp Garthe, Clemens Scherer, Jan Moritz Seliger, Andreas Leha, Nina Krüger, Stefan Simm, Simon Martin, Sebastian Eble, Halvar Kelm, Moritz Bednorz, Florian André, Peter Bannas, Gerhard Diller, Norbert Frey, Stefan Groß, Anja Hennemuth, Lars Kaderali, Alexander Meyer, Eike Nagel, Stefan Orwat, Moritz Seiffert, Tim Friede, Tim Seidler, Sandy Engelhardt

“…Abstract Federated learning is a renowned technique for utilizing decentralized data while preserving privacy. …”
Get full text

Forecasting Volatility of Stock Index: Deep Learning Model with Likelihood-Based Loss Function by Fang Jia, Boli Yang

“…The results show that our deep learning models with likelihood-based loss function can forecast volatility more precisely than the econometric model and the deep learning models with distance loss function, and the LSTM model is the better one in the two deep learning models with likelihood-based loss function.…”
Get full text

Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

Subjects: Get full text

A Hybrid Approach Using Oversampling Technique and Cost-Sensitive Learning for Bankruptcy Prediction by Tuong Le, Minh Thanh Vo, Bay Vo, Mi Young Lee, Sung Wook Baik

“…Using oversampling techniques and cost-sensitive learning framework independently also improves predictability. …”
Get full text

Features of social intelligence of cadets trained in institutions of higher education with specific learning conditions by S. V. Kharchenko

“…The author of the article has analyzed the peculiarities of the abilities of social intelligence of cadets of institutions of higher education with specific learning conditions in different years (time interval between studies – 15 years) and at different courses. …”
Get full text

Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

Subjects: Get full text