Diagnosis experience of traction engines of locomotives by Ngoulou-A-Ndzeli, V. Yu. Tetter, V. G. Shakhov

Get full text

Thrombocytopenia in patients with melanoma receiving immune checkpoint inhibitor therapy by Michael Postow, Igor Puzanov, Suthee Rapisuwon, Michael A. Davies, Zeynep Eroglu, Eileen Shiuan, Kathryn E. Beckermann, Alpaslan Ozgun, Ciara Kelly, Meredith McKean, Jennifer McQuade, Mary Ann Thompson, John P. Greer, Douglas Johnson

Get full text

Beyond the current state of just-in-time adaptive interventions in mental health: a qualitative systematic review by Claire R. van Genugten, Claire R. van Genugten, Melissa S. Y. Thong, Melissa S. Y. Thong, Melissa S. Y. Thong, Wouter van Ballegooijen, Wouter van Ballegooijen, Wouter van Ballegooijen, Annet M. Kleiboer, Annet M. Kleiboer, Donna Spruijt-Metz, Arnout C. Smit, Mirjam A. G. Sprangers, Mirjam A. G. Sprangers, Yannik Terhorst, Yannik Terhorst, Heleen Riper, Heleen Riper, Heleen Riper

“…To accomplish this, JITAIs often apply complex analytic techniques, such as machine learning or Bayesian algorithms to real- or near-time data acquired from smartphones and other sensors. …”
Get full text

A comparison of several intrusion detection methods using the NSL-KDD dataset by hazem salim abdullah

“… The increasing significance of cybersecurity underscores the critical necessity of addressing evolving methods of hackers. This research investigates the way to classify and predict cyber-attacks on the NSL-KDD dataset using intrusion detection methods the investigation contrasts the capabilities of various algorithms, including RNN, MLP, CNN-LSTM, and ANN, in recognizing attacks. …”
Get full text

Artificial Intelligence in Social Media by Azwar M.Q. Agha

“…In addition, the review discusses ethical concerns, including data privacy, algorithmic bias, and the potential for misinformation dissemination. …”
Get full text

Assessing Similarity Between Datasets Using Vector Representations by А. А. Usatoff, A. M. Nedzved, Guo Jiran

“…The article considers an approach to determining the similarity of datasets for training algorithms using datasets with human faces as an example. …”
Get full text

Turkish educational policy in Central Asia by A. S. Ergashev, O. E. Grishin

Get full text

APPLICATION OF REAL-TIME DICTIONARY INSTEAD OF FULL-TEXT INDEX FOR SEARCHING IN WEB PUBLICATIONS by P. Milev

“…In these cases, full-text indexes are mostly used for the implementation of algorithms for searching in the content of web publications. …”
Get full text

Channel estimation for reconfigurable intelligent surface-aided millimeter-wave massive multiple-input multiple-output system with deep residual attention network by Xuhui Zheng, Ziyan Liu, Shitong Cheng, Yingyu Wu, Yunlei Chen, Qian Zhang

Get full text

Commentaries on the updated American College of Rheumatology guidelines for the management of gout. Urate-lowering drugs (Part 1) by M. S. Eliseev

Get full text

A Novel Homogenous Hybridization Scheme for Performance Improvement of Support Vector Machines Regression in Reservoir Characterization by Kabiru O. Akande, Taoreed O. Owolabi, Sunday O. Olatunji, AbdulAzeez Abdulraheem

“…Hybrid computational intelligence is defined as a combination of multiple intelligent algorithms such that the resulting model has superior performance to the individual algorithms. …”
Get full text

Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

“…Comparative analysis with seven other machine learning algorithms confirms the superior performance of PSO-LSTM. …”
Get full text

Dependable identity recognition and authorization based on visual information by Chunlei PENG, Xinbo GAO, Nannan WANG, Jie LI

“…Recently,deep learning has been widely applied to video and image based identity recognition and authorization tasks,including face recognition and person identification.However,machine learning models,especially deep learning models,can be easily fooled by adversarial attacks,which may cause the identity recognition systems to make a wrong decision.Therefore,dependable identity recognition and authorization has become one of the hot topics currently.Recent advances on dependable identity recognition and authorization from both information space and physical space were presented,where the development of the attack models on face detection,face recognition,person re-identification,and face anti-spoofing as well as printable adversarial patches were introduced.The algorithms of visual identity anonymization and privacy protection were further discussed.Finally,the datasets,experimental protocols and performance of dependable identity recognition methods were summarized,and the possible directions in the future research were presented.…”
Get full text

A Method of Kill Chains Fusion Based on Granulated Rules and Matrix Computation by Haijun Ye, Wei Gao

“…Then, the matrix computing formed the algorithmic foundation matrix of kill chains through granulation rules involving intermediate and target transformations. …”
Get full text

Artificial intelligence in healthcare: A focus on the best practices by Haddiya Intissar, Ramdani Sara

Get full text

Overbounding of Near Real-Time Estimated Ionospheric Gradient Slope in Low-Latitude Regions by Maria Caamano, Jose Miguel Juan, Jaume Sanz, Sam Pullen

“…To solve these issues, previous research has introduced a methodology for real-time detection and estimation of ionospheric gradients using a network of dual-frequency, multi-constellation global navigation satellite system monitoring stations. …”
Get full text

Interpretability Study on the Fault Diagnosis Model of the Heat pipe/ Vapor Compression Composite Air Conditioning System by ZHANG Yiqi, HUANG Shuoquan, LI Xiuming, DI Yanqiang, SONG Mengjie, HAN Zongwei

“…This study develops a composite fault diagnosis model based on typical machine learning algorithms, compares the diagnostic performance of different models, and finally conducts interpretability research on the diagnostic models using the SHAP method. …”
Get full text

Clustering Methods Application for Customer Segmentation to Manage Advertisement Campaign by Maciej Kutera, Mirosława Lasek

“…Clustering methods are recently so advanced elaborated algorithms for large collection data analysis that they have been already included today to data mining methods. …”
Get full text

A review of dynamic scene reconstruction based on neural representation by LU Ping, SUN Junjie, LI Wan, LIN Jiaxin, LIU Hong, LIU Hong, FENG Daquan

“…Dynamic scene reconstruction holds significant research value in the fields of computer vision and virtual reality. …”
Get full text

An Efficient Biobjective Heuristic for Scheduling Workflows on Heterogeneous DVS-Enabled Processors by Pengji Zhou, Wei Zheng

“…In the context of scheduling, there have been increasing research interests on algorithms using dynamic voltage scaling (DVS), which allows processors to operate at lower voltage supply levels at the expense of sacrificing processing speed, to acquire a satisfactory trade-off between quality of schedule and energy consumption. …”
Get full text