Optimal 2D Placement of Virtual Objects in Physical Space for Augmented Reality Applications by M. V. Alpatova, Yu. V. Rudyak

“…To exclude unrepresentative values, each calculation was repeated 10 times, and a z-score was performed for each value. …”
Get full text

Accurate prediction of college students' information anxiety based on optimized random forest and category boosting fusion model by Bin Wang, Li Shao

“…The results showed that the model integrating random forest and category boosting algorithm had the lowest mean absolute error and root mean squared error, which were 0.125 and 0.142. …”
Get full text

The diagnostic performance evaluation of the SD BIOLINE HIV/syphilis Duo rapid test in southern Ethiopia: a cross-sectional study by Techalew Shimelis, Endale Tadesse

“…In reference to TPHA, the test kit reported 4 false positives and 2 false negative results for syphilis. The κ values were 0.99 for HIV testing and 0.94 for syphilis testing.Conclusions The excellent performance of the SD BIOLINE HIV/syphilis Duo test to detect HIV as well as syphilis facilitates the integration of syphilis testing and treatment to the already established HIV prevention programme, ultimately contributing to the dual HIV and syphilis elimination goal.…”
Get full text

Enhancing Latent Defect Detection in Built-In Spindle Assembly Lines Through Vibration Data Analysis by Kuo-Hao Li, Chao-Nan Wang, Yao-Chi Tang

“…This study utilized the fast Fourier transform (FFT) for precise feature extraction. The integration of these advanced algorithms accurately identified defects and categorized them, thus optimizing manufacturing processes. …”
Get full text

A window into the mind-brain-body interplay: Development of diagnostic, prognostic biomarkers, and rehabilitation strategies in functional motor disorders. by Marialuisa Gandolfi, Angela Sandri, Sara Mariotto, Stefano Tamburin, Anna Paolicelli, Mirta Fiorio, Giulia Pedrotti, Paolo Barone, Maria Teresa Pellecchia, Roberto Erro, Sofia Cuoco, Immacolata Carotenuto, Claudia Vinciguerra, Annibale Botto, Lucia Zenere, Elisa Canu, Elisa Sibilla, Massimo Filippi, Elisabetta Sarasso, Federica Agosta, Michele Tinazzi, Group Collaborators Consortium

“…Finally, the algorithm's prognostic value will be explored post-rehabilitation in one subgroup of patients with FMD.…”
Get full text

Exploration of the ubiquitination-related molecular classification and signature to predict the survival and immune microenvironment in colon cancer by Ji-Zhong Xu, Tian-Qi Wan, Jin-Song Su, Jun-Min Song

“…Clinical variables and risk scores were integrated into an enhanced nomogram. The early diagnostic value of four URGs was confirmed via quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry. …”
Get full text

Benthos-DETR: a high-precision efficient network for benthic organisms detection by Weibo Rao, Gang Chen, Yifei Zhang, Jue Cang, Shusen Chen, Chenyang Wang

“…In the backbone of Benthos-DETR network, the Efficient Block with the C2f module reinforces the shallow feature extraction operation in Benthos-DETR, enhancing the algorithm’s multi-scale perception. To reduce the computational load and make the algorithm lightweight, a cascaded group attention module has been added to the Benthos-DETR network, it enhances the feature interaction within the same scale. …”
Get full text

A fuzzy-predictive current control with real-time hardware for PEM fuel cell systems by Badreddine Kanouni, Abd Essalam Badoud, Saad Mekhilef, Ahmed Elsanabary, Mohit Bajaj, Ievgen Zaitsev

“…Abstract This research study presents the application of the FC-PCC (Fuzzy Logic Predictive Current Control) algorithm in the context of maximum power point tracking (MPPT) for a proton exchange membrane fuel cell system employing a three-level boost converter (TLBC). …”
Get full text

Robust Predefined Time Stability of nth-Order Systems Subject to Deterministic Matched Disturbances by Nain de la Cruz, Ernesto Rincon, Roxana Garcia-Andrade, Arnoldo Fernandez-Ramirez, Yasser A. Davizón, José Isidro Hernández-Vega, Carlos Hernandez-Santos

“…However, previously proposed predefined time control algorithms have drawbacks that need to be tackled. For this reason, the authors present another form of predefined time control algorithm that can be coupled with any observer (in the case where not all the states of the system can be measured) or any other robust controller to robustify the system against matched disturbances. …”
Get full text

Classification of Some Fruits using Image Processing and Machine Learning by Dilara Gerdan Koç, Mustafa Vatandaş

“…The integration of image processing algorithm with the classification unit classified 88%, 100%, 96%, 82%, 86%, respectively. …”
Get full text

Blasting vibration velocity prediction of open pit mines based on GRA-EPSO-SVM model by Pengfei ZHANG, Yong YUAN, Yunhua HE, Shaojun DAI, Jiazhen LI, Xuehai CHI, Wei LI, Xue SUN, Jiao ZHANG, Runcai BAI, Honglu FEI

“…In the scene of coal and rock interbedded blasting in open-pit mine, aiming at the problems that the existing prediction methods of blasting vibration peak value are difficult to achieve ideal prediction results, resulting in unreasonable design of blasting parameters and initiation network, a prediction model of blasting vibration peak value based on integrated particle swarm optimization support vector machine algorithm (GRA-EPSO-SVM) with grey correlation degree feature selection is proposed. …”
Get full text

Prediction of Transformer Residual Flux Based on J-A Hysteresis Theory by Qi Long, Xu Yang, Keru Jiang, Changhong Zhang, Mingchun Hou, Yu Xin, Dehua Xiong, Xiongying Duan

“…The problem of slow convergence speed and susceptibility to local optima in traditional particle-swarm optimization algorithms is solved by optimizing the velocity and position-update formulas of particles in this algorithm. …”
Get full text

A Powerful Approach in Visualization: Creating Photorealistic Landscapes with AI by Gusztáv Jakab, Enikő Magyari, Benedek Jakab, Gábor Timár

“…To test the method, we applied a procedure: we ran the algorithm on a current topographic map of a sample area and compared the resulting image with the view model provided by Google Earth.…”
Get full text

Bridging Behavioral Insights and Automated Trading: An Internet of Behaviors Approach for Enhanced Financial Decision-Making by Imane Moustati, Noreddine Gherabi

“…Furthermore, the portfolio management algorithm successfully transformed an initial balance of USD 15,000 into a final portfolio value of USD 21,824.12, yielding a net profit of USD 6824.12. …”
Get full text

Predictive Analytics in Agriculture: Machine Learning Models for Coconut Tree Health by Goswami Anjali, Kirit Dhablia Dharmesh

“…With integration of these data sources, ML models can find patterns, anomalies in health problems. …”
Get full text

Research on collaborative optimization of the electric-carbon joint market based on renewable energy subsidies by Peng Xia, Bo Yuan, Gang Lu, Qiuli Zhao, Fuqiang Zhang, Suyang Zhou

“…To tackle these issues, we propose a collaborative optimization approach for an integrated electric–carbon market that incorporates a renewable subsidy mechanism. …”
Get full text

A multi-feature stock price prediction model based on multi-feature calculation, LASSO feature selection, and Ca-LSTM network by Xiao Chen, Lei Cao, Zhi Cao, HongWei Zhang

“…Signifying the importance of each feature, we employ the LASSO algorithm to derive an optimal feature combination. …”
Get full text

Internal deformation and damage evolution patterns of red sandstone using regularized digital volume correlation by HAO Yutong, MAO Lingtao, LIU Haizhou, YUAN Zexun, CAO Longkun, LI Dongxiao

“…This algorithm integrates the multimesh refinement technology into a mechanically regularized global DVC algorithm that incorporates nodal force equilibrium. …”
Get full text

Development of metastasis and survival prediction model of luminal and non-luminal breast cancer with weakly supervised learning based on pathomics by Hui Liu, Linlin Ying, Xing Song, Xueping Xiang, Shumei Wei

“…These features served as the foundational input for developing a machine learning algorithm for metastasis analysis and a Cox regression model for survival analysis. …”
Get full text

Grey-Box Modelling of District Heating Networks Using Modified LPV Models by Olamilekan E. Tijani, Sylvain Serra, Patrick Lanusse, Rachid Malti, Hugo Viot, Jean-Michel Reneaume

“…However, this research does not implement DRTO; instead, it develops a fast grey-box linear parameter varying (LPV) model for future integration into the DRTO algorithm. A high-fidelity physical model replicating theoretical time delays in pipes serves as a reference for model validation. …”
Get full text