Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding by Qiang Ye, MirHojjat Seyedi, Zibo Cai, Daniel T. H. Lai

“…The feedback data could potentially alert the riders to predict and prevent accidents. Validation tests demonstrate that this force-sensing glove system has a strong potential as a tool for hand performance monitoring in real environment.…”
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Machine Learning and Data Science in Social Sciences: Methods, Applications, and Future Directions by Elias Dritsas, Maria Trigka

“…Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological foundations of fields such as political science, economics, and psychology. …”
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A DMPC-based three-dimensional cooperative guidance scheme with impact time and impact angle constraints by Zijie Jiang, Xiuxia Yang, Cong Wang, Yi Zhang, Hao Yu

“…In this paper, a distributed model predictive control (DMPC)-based three-dimensional (3D) cooperative guidance scheme is proposed for multiple interceptors with controllable thrust and constrained acceleration, to simultaneously attack a maneuvering target at desired terminal angles. …”
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The correlation between histopathological and ultrasound findings regarding Cesarean section scars – A three-year survey study by Oana D. Bălălău, Nicolae Bacalbașa, Cristian Bălălău, Carolina Negrei, Bianca Gălățeanu, Octav Ghinghină, Cristina Răduță, Liana Pleș, Anca D. Stănescu, Vasile A. Dumitru

“…Our study found solid evidence related to possible correlations between histopathological and ultrasound data on the cesarean section scar, which could lead to a possible predictive algorithm with implications for both prognostic and therapeutic fields.…”
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Information-extremе machine learning for object identification on the terrain by V. V. Moskalenko, A. H. Korobov

“…Kulbak's information measure, which is a function of false omission rate and positive predictive value of decision-making and it also allows machine learning on imbalanced dataset.…”
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Determining the Influence of Real Estate Features on Prices with Partial Dependence Plots: A Case Study in Szczecin, Poland by Gnat Sebastian

“…The CatBoost model, known for its robust handling of categorical features and strong predictive capabilities, is employed as the machine learning algorithm for this analysis. …”
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An Adaptive Learning Rate for RBFNN Using Time-Domain Feedback Analysis by Syed Saad Azhar Ali, Muhammad Moinuddin, Kamran Raza, Syed Hasan Adil

“…Radial basis function neural networks are used in a variety of applications such as pattern recognition, nonlinear identification, control and time series prediction. In this paper, the learning algorithm of radial basis function neural networks is analyzed in a feedback structure. …”
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Message forwarding based on periodically evolving social characteristics in opportunistic mobile networks by Yong-feng HUANG, Yong-qiang DONG, San-feng ZHANG, Guo-xin WU

“…Moreover, a social-aware routing algorithm, PerEvo, was then designed based on them. …”
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A Penalized Orthogonal Kriging Method for Selecting a Global Trend by Xituo Zhang, Guoxing Gao, Jianxin Zhao, Xinmin Li

“…The simulation results and an example study with real data show that the proposed method is superior to others in variable recognition rate and prediction accuracy.…”
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Emulating real-world GLP-1 efficacy in type 2 diabetes through causal learning and virtual patients. by Calum Robert MacLellan, Hristo Petkov, Conor McKeag, Feng Dong, David John Lowe, Roma Maguire, Sotiris Moschoyiannis, Jo Armes, Simon Skene, Alastair Finlinson, Christopher Sainsbury

“…We validate the virtual trials by comparing the predicted impact of glucagon-like peptide-1 (GLP-1) agonists on HbA1c in type-2 diabetes (T2DM) with its true efficacy established in the LEAD-5 trial. …”
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Damage Recovery Method for Air–Sea Cross-Domain Communication Network Based on Improved Dijkstra and Load Balancing by Zhigang Shang, Hongyu Zhang, Jing Yang

“…This paper proposes a link selection strategy based on an improved Dijkstra algorithm and load balancing on the basis of link quality prediction. …”
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Using Machine Learning to Shorten and Adapt Fall Risk Assessments for Older Adults by Lilyana Khatib, Adi Toledano-Shubi, Hilla Sarig Bahat, Hagit Hel-Or

“…The adaptive approach reduces task sequences by over 50% while maintaining high predictive accuracy. It also enables remote testing, predicting performance on complex tasks using as few as 2–3 simpler, accessible tasks. …”
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Heat recovery integration in a hybrid geothermal-based system producing power and heating using machine learning approach to maximize outputs by Hatem Gasmi, Azher M. Abed, Ashit Kumar Dutta, Fahad M. Alhomayani, Ibrahim Mahariq, Fahad Alturise, Salem Alkhalaf, Tamim Alkhalifah, Yasser Elmasry, Baseem Khan

“…By employing regression machine learning algorithms, the research evaluates and enhances system performance, achieving remarkable R-squared accuracy levels of 98.86 % for heating output and 99.89 % for power output predictions. …”
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Identification of serum tRNA-derived small RNAs biosignature for diagnosis of tuberculosis by Zikun Huang, Qing Luo, Cuifen Xiong, Haiyan Zhu, Chao Yu, Jianqing Xu, Yiping Peng, Junming Li, Aiping Le

“…The accuracy of the three-tsRNA biosignature for TB diagnosis was evaluated in the training (n = 289), test (n = 124), and prediction (n = 292) groups. By utilizing cross-validation with a random forest algorithm approach, the training cohort achieved a sensitivity of 100% and specificity of 100%. …”
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Utilization of Data Mining Techniques in SIMPUS towards Smart Library at IAIN Kendari by Samrin, Badarwan, Raehang, Obaid Moh. Yahya, Syahrul

“…This study aims to analyze the application of data mining techniques in SIMPUS at IAIN Kendari, in order to improve the efficiency of library management and provide smarter services to users. By using algorithms such as association rules, clustering, and classification, historical data on borrowing and collection management can be processed to produce valuable insights, such as user behavior patterns, book need predictions, and collection recommendations. …”
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SYNTHESIS OF THE TECHNICAL CONTROL SYSTEMS WITH VARIABLE STRUCTURE by I. V. Prokopyev

“…The recommendation of modification of Demark trends algorithm by means of the sliding Yazvinsky's window and a method of self-organization for increase of accuracy of creation of a predictive model of damage is made. …”
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Research of a Novel Ship-loading Energy Circulatory System under Multi-process State by Jiang Hui

“…For the problems of high energy consumption,low utilization in ship sailing process,a new type of ship-loading energy circulatory system is presented,the system with the process of the flow field around the sports field of the ships as a power source kinetic energy is transformed into electrical energy.In the model,according to the changing of the sailing process state,the DMC-PID mixed prediction control algorithm is introduced to adjust the transmission ratio of belt drive in the system.Finally,the variable law of the belt drive parameters characteristic and performance indicators of the ship-loading energy circulatory system under the condition of transmission ratio under control are studied.The results show that the designed novel ship-loading energy circulatory system is feasible through analysis of performance indicators,since the introduction of variable transmission ratio belt drive system and DMC-PID control system in the energy circulatory system,the performance of the system is improved.…”
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Trajectory privacy protection scheme based on differential privacy by Si CHEN, Anmin FU, Mang SU, Huaijiang SUN

“…To solve the problem that the current sampling mechanism and data obfuscation method may raise insufficient data availability and privacy protection, a trajectory privacy protection scheme based on differential privacy was proposed.A new efficient sampling model based on time generalization and spatial segmentation was presented, and a k-means clustering algorithm was designed to process sampling data.By employing the differential privacy mechanism, the trajectory data was disturbed to solve the user privacy leaking problem caused by the attacker with powerful background knowledge.Simultaneously, to respond to the error boundary of the query range of pandemic, an effective prediction mechanism was designed to ensure the availability of released public track data.Simulation results demonstrate that compared with the existing trajectory differential privacy protection methods, the proposed scheme has obvious advantages in terms of processing efficiency, privacy protection intensity, and data availability.…”
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Multiphase time-varying batch process monitoring based on stage moving model migration by Luping Zhao, Zhongren Chen

“…Secondly, to analyze and capture the relationship between the process variables of both the old mode and new mode and the final quality variable, the JY-PLS algorithm is utilized on each time slice within sliding windows for quality prediction. …”
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Cloud native intelligent operation and maintenance technology by Long XUE, Gang LU, Qi ZHOU, Huiyan ZHANG, Tingjun WAN

“…Relying on the advantages of simple and fast applications,easy deployment of applications,and on-demand scaling of running applications,cloud native technology has been rapidly promoted.However,with the application of cloud native,the system architecture has become more complex and the scale of resources has become larger,and there is an urgent need for more intelligent operation and maintenance.Using intelligent operation and maintenance can better assist cloud-native application development,reduce operation and maintenance costs,and improve service quality.The application scenarios,key points,classic practices and existing problems of intelligent operation and maintenance were analyzed,and a cloud-native intelligent operation and maintenance architecture were proposed,and the main principles of the three scenarios:the trend prediction,data anomaly detection and fault location diagnosing in the core service algorithm platform were introduced in detail,and finally the future of intelligent operation and maintenance were looked forward.…”
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