Modification of IPI Method for Extraction of Short-Term and Imminent OLR Anomalies and Case Study of Two Large Earthquakes by Maoning Feng, Pan Xiong, Weixi Tian, Yue Liu, Changhui Ju, Cheng Song, Yongxian Zhang

“…The Pattern Informatics Method (PI) was initially developed for medium-to-long-term earthquake prediction by analyzing changes in seismic activity. …”
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Identification of RNA Modification-Associated Alternative Splicing Signature as an Independent Factor in Head and Neck Squamous Cell Carcinoma by Jie Liu, Wenmin Deng, Zhiwen Xiao, Xiaofeng Huang, Minmin Lin, Zhen Long

“…Besides, a nomogram prediction model of quantitative prognosis has also been developed, which has robust effectiveness in predicting prognosis. …”
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A machine learning model for the computation of thermophysical properties of WCO biodiesel mixed with multiwalled carbon nanotubes by Hussain Syed Sameer, Ali Syed Abbas, Husain Dilawar, Sharma Manish

“…Further, the MultiLayer Neural Network (MLNN) is a ML model that employs a back-propagation algorithm for mapping the input-output parameters. …”
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Enhancing placental pathology detection with GAMatrix-YOLOv8 model by Weirui Wu, Zhifa Jiang, Jingwen Liu, Jiahui Ji, Xiaoyan Wei, Xiangyun Ye, Zhen Zhang

“…Conclusions: GAMatrix-YOLOv8 achieves unprecedented prediction accuracy in detecting delayed villous maturation in placental pathological tissues through algorithmic innovation. …”
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Clinical subtypes identification and feature recognition of sepsis leukocyte trajectories based on machine learning by ShengHui Miao, YiJing Liu, Min Li, Jing Yan

“…Incorporating early ICU baseline variables into an XGBoost algorithm enables effective prediction of high-mortality risk subgroups (AUC > 0.8). …”
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Cyber hygiene of the digital twin of the civil aviation occupational safety management system in the context of quantum transformation by Kayrat Koshekov, Baurzhan Bakirov, Almat Sakhov, Levchenko Nataliіa, Yuri Tanovitskiy, Abay Koshekov, Yakub Kurbanov, Rustam Togambayev

“…Results: a methodology for assessing the cyber hygiene of the digital twin of the occupational safety management system of engineering and technical personnel of civil aviation in the context of quantum transformation has been developed; it has been proven that the process of transition of the cyber hygiene system from one state to another, in response to the measures taken, is an iterative process, which allows dynamically monitoring the effectiveness of the taken measures on DT cyber hygiene and predicting its further state; algorithm for the sequence of stages of assessing the state of DT cyber hygiene and their relationship within a cyclic process has been developed. …”
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The Enhancer–Promoter-Mediated <i>Wnt8a</i> Transcription During Neurite Regrowth of Injured Cortical Neurons by Shr-Han Weng, Wen-Ling Liao, Linyi Chen

“…In this study, we investigated the regulatory mechanism of <i>Wnt8a</i> transcription. An algorithm was developed to predict the novel enhancer regions of candidate genes. …”
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A Cloud-Based Intelligence System for Asian Rust Risk Analysis in Soybean Crops by Ricardo Alexandre Neves, Paulo Estevão Cruvinel

“…Rules derived from time-series data are employed to enable scenario prediction for risk evaluation related to disease development. …”
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Artificial intelligence in personalized cardiology treatment by Abbas Mohammadi, Sheida Shokohyar

“…This study examines the advancements and challenges in personalized cardiovascular medicine, highlighting the need to address issues such as data privacy, algorithmic bias, and accessibility to promote the equitable application of personalized medicine.…”
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Sequential Multidimensional Scaling with Kalman Filtering for Location Tracking by Lan Anh Trinh, Nguyen Duc Thang, Dang Viet Hung, Tran Cong Hung

“…The characteristics of the algorithm are examined through simulated experiments and the results reveal the advantages of our method over conventional works in dealing with the above challenges. …”
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Recurrent Deep Learning for Beam Pattern Synthesis in Optimized Antenna Arrays by Armando Arce, Fernando Arce, Enrique Stevens-Navarro, Ulises Pineda-Rico, Marco Cardenas-Juarez, Abel Garcia-Barrientos

“…Beam patterns are optimized using a genetic algorithm during the training phase in order to reduce sidelobes and achieve high directivity. …”
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Swarm Control with RRT-APF Planning and FNN Task Allocation Tested on Mobile Differential Platform by Michal Lajčiak, Ján Vachálek

“…A feedforward neural network was developed to assign tasks to swarm agents in real time by predicting a suitability score. For centralized swarm planning, a hybrid algorithm combining Rapidly Exploring Random Tree (RRT) and Artificial Potential Field (APF) planners was implemented, incorporating a Multi-Agent Pathfinding (MAPF) solution to resolve simultaneous collisions at intersections. …”
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Investigating How User's Activities in Both Virtual and Physical World Impact Each Other Leveraging LBSN Data by Zhiwen Yu, Yue Yang, Xingshe Zhou, Yu Zheng, Xing Xie

“…Finally, we conduct link prediction by using the random walk with restart method considering the effect of every node and every edge. …”
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Transfer learning based feature selection for feedforward neural network for speech emotion classifier by D. V. Krasnoproshin, M. I. Vashkevich

“…This technique allowed us to significantly reduce initial feature vector size while increasing models’ prediction quality. We used TESS and RAVDESS datasets to estimate the performance of proposed method. …”
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Sentiment Analysis using Twitter Dataset by Ibrahim Moge Noor, Metin Turan

“…We perform Multi nominal naïve Bayes classifier algorithm to classify tweets documents. We split our dataset using k-folder validation since we had limited amounts of data, so to achieve unbiased prediction of the model. . …”
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Application of Monte Carlo Method for Gamma ray Attenuation Properties of Lead Zinc Borate Glasses by Urkiye Akar Tarım, Orhan Gürler

“…Thiswork aims to introduce an useful computational model, based in Monte Carlosimulation, which can be used in practical application, and this paper presentsvalues determined using a Monte Carlo algorithm for linear attenuationcoefficient of lead zinc borate glasses with different percentages of PbO. …”
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A hybrid model based on learning automata and cuckoo search for optimizing test item selection in computerized adaptive testing by Chanjuan Jin, Weiming Pan

“…A multi-objective cuckoo search algorithm then decides the test strategy, between content coverage and level compliance. …”
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Impact of Climate Change on the Distribution of <i>Cinnamomum malabatrum</i> (Laurales—Lauraceae), a Culturally and Ecologically Important Species of Malabar, Western Ghats, India... by Mukesh Lal Das, Sarat Chandran, Sreenath Subrahmanyam

“…The predicted range shifts and contraction of suitable habitats for the species indicate significant challenges ahead, especially in the Malabar midlands and coastal plains—areas of high endemicity. …”
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Optimisation of material composition in functionally graded plates using a structure-tuned deep neural network by Ryoichi Chiba, Takuya Kishida, Ryoto Seki, Seiya Sato

“…A fully-connected NN, configured with an open-source Bayesian optimisation framework, is employed to predict the maximum in-plane thermal stress for various combinations of design variables. …”
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Nonlinear Elasto-Mammography for Characterization of Breast Tissue Properties by Z. G. Wang, Y. Liu, G. Wang, L. Z. Sun

“…The results demonstrate that the projective displacements acquired in X-ray mammography provide sufficient constitutive information of the tumor and prove the usability and robustness of the proposed method and algorithm.…”
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