Predicting waste generation using Bayesian model averaging by M.G. Hoang, T. Fujiwara, S.T. Pham Phu, K.T. Nguyen Thi

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AI for Predicting Pavement Roughness in Road Monitoring and Maintenance by Christina Plati, Angeliki Armeni, Charis Kyriakou, Dimitra Asoniti

“…The results show that the LSTM method provides significantly lower prediction errors for both highway sections, indicating better performance in capturing roughness trends over time. …”
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Experimental study and prediction of abrasion resistance of hydraulic concrete by Qian Chen, Weizhun Jin, Xiaodan Tang, Hongxing Zhong, Qinghua Huang, Zhipeng Bai, Hongqiang Chu, Linhua Jiang

“…To predict the abrasion resistance of hydraulic concrete efficiently and accurately, this study analyzes the physical abrasion process of hydraulic concrete based on the underwater steel ball method. …”
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Nomogram for predicting mortality in hospitalized patients with infective endocarditis by Yuqiong An, Xiaojuan Wang, Zhen Wang, Kundi Chen, Fang Nie

“…Abstract This study aimed to develop a nomogram for accurately predicting in-hospital mortality in patients with infective endocarditis (IE). …”
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QSAR Models for Predicting the Antioxidant Potential of Chemical Substances by Sofia Ghironi, Edoardo Luca Viganò, Gianluca Selvestrel, Emilio Benfenati

“…Given these results, we developed an integrated method that not only outperformed the individual models, achieving an R² of 0.78 on the external test set, but also provided valuable insights into the range of predicted values.…”
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Development and validation of a nomogram to predict severe influenza by Mingzhen Zhao, Bo Zhang, Mingjun Yan, Zhiwei Zhao

“…A nomogram was developed to predict the presence of severe influenza. At the same time, the concordance index (C‐index) is adopted area under the receiver operating characteristic (ROC), area under the curve (AUC), decision curve analysis (DCA), and calibration curve to evaluate the predictive ability of the model and its clinical application. …”
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Bio-Inspired Mamba for Antibody–Antigen Interaction Prediction by Xuan Liu, Haitao Fu, Yuqing Yang, Jian Zhang

“…MambaAAI provides a unique advantage, relative to prior techniques, in dynamically selecting bio-enhancing residue sites that contribute to AAI prediction. We evaluate MambaAAI on two large-scale antibody–antigen neutralization datasets, and in silico results demonstrate that our method marginally outperforms the state-of-the-art baselines in terms of prediction accuracy, while maintaining robust generalization to unseen antibodies and antigens. …”
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Predictive analytics technique based on hybrid sampling to manage unbalanced data in smart cities by Ayushi Chahal, Preeti Gulia, Nasib Singh Gill, Mohammad Yahya, Mohd Anul Haq, Mohammed Aleisa, Abdullah Alenizi, Arfat Ahmad Khan, Piyush Kumar Shukla

“…ML method is applied to form clusters and make predictions over the dataset. …”
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Mixed Time/Event-Triggered Model Predictive Tracking Control for Networked Mobile Robots by Huixin Liu, Yonghua Lai, Hongsong Lian, Guobin Wang, Dongsheng Zheng

“…Focusing on the tracking control challenges in networked mobile robot systems, this research formulates a mixed time/event-triggered model predictive control (MPC) method. The method integrates time-triggered and event-triggered mechanisms, where the time-triggered module improves the performance of the MPC, and the event-triggered module reduces the resource consumption without sacrificing the control performance. …”
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Simplified Model Predictive for Controlling Circulating and Output Currents of a Modular Multilevel Converter by Abolfazl Sheybanifar, Seyed Masoud Barakati

“…The accuracy and performance of the proposed method are evaluated with simulation and experimental results.…”
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An Assessment of Markov Chain as a Predictive Tool for the Global Performance of an Institution of Higher Learning by Masikini Lugoma, Masengo Ilunga, Kalenga WaKalenga

“…The data were extracted from Scimago in the prediction process. A university was randomly selected to evaluate the level of prediction of the MC method. …”
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Dynamic Weight Model Predictive Control for Longitudinal Adaptive Cruise Systems in Electric Vehicles by Wentian Wei, Lan Li, Qiyuan Li, Song Zhang, Chaoqun Fan, Lizhe Liang

“…Unlike conventional MPC with static weights, the proposed method integrates a fuzzy inference system that evaluates driving urgency based on real-time spacing and velocity errors. …”
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A robust and statistical analyzed predictive model for drug toxicity using machine learning by Deepak Rawat, Rohit Bajaj, Rachit Manchanda, Ankush Mehta, Prabhu Paramasivam, Suraj Kumar Bhagat, Abinet Gosaye Ayanie

“…State-of-the-art parameters have been evaluated and compared for three scenarios. In first scenario with original features, in the second scenario using feature selection and resampling technique with the percentage split method, and in the third scenario using feature selection and resampling technique with 10-fold cross-validation. …”
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A Predictive Approach for Enhancing Accuracy in Remote Robotic Surgery Using Informer Model by Muhammad Hanif Lashari, Shakil Ahmed, Wafa Batayneh, Ashfaq Khokhar

“…The Informer framework uses features such as ProbSparse attention, attention distilling, and a generative-style decoder to focus on position-critical features while maintaining a low computational complexity of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi mathvariant="script">O</mi><mo>(</mo><mi>L</mi><mo form="prefix">log</mo><mi>L</mi><mo>)</mo></mrow></semantics></math></inline-formula>. The method is evaluated using the JIGSAWS dataset, achieving a prediction accuracy of over 90% under various network scenarios. …”
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Air Quality and Healthy Ageing: Predictive Modeling of Pollutants Using CNN Quantum-LSTM by Fareena Naz, Muhammad Fahim, Adnan Ahmad Cheema, Bradley D. E. Mcniven, Tuan-Vu Cao, Ruth Hunter, Trung Q. Duong

“…In this work, we proposed a hybrid model referred as AirVCQnet, which combines the variational mode decomposition (VMD) method with a convolutional neural network (CNN) and a quantum long short-term memory (QLSTM) network for the prediction of air pollutants. …”
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Evaluating Hematological Inflammatory Markers as Predictors of Preeclampsia by Serife Ozlem Genc, Huseyin Erdal

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Prediction of the remaining useful life of a milling machine using machine learning by Abbas Al-Refaie, Majd Al-atrash, Natalija Lepkova

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Stochastic Method of Discounted Cash Flows by A. A. Solodov

“…However, the actual behavior of business projects evaluated by this method often differs from that predicted, and the difference can be tens of times.It should be noted that at present, the discounted cash flow method is a subject of extensive literature, but there are no analytical arguments for large discrepancies between the theory and practice of the method. …”
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Role of Sonography in Prenatal Evaluation of Placenta Accreta by Rahila Usman, Sumayya Fatima, Sadia Rashid, Sehrish Mehmood, Kashif Shazlee, Kamran Hamid

“…Materials and Methods: This is a prospective study done in a tertiary care center having large number of obstetrical cases,Ziauddin University hospital during a period of ten months from 12th August 2014 to 11th June 2015.Thirty seven pregnant high risk cases all with clinical suspicion of placenta accreta were subjected to sonographic evaluation using gray scale and color doppler imaging by senior radiologists. …”
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Value of urinary lipoarabinomannan levels for tuberculosis diagnosis and monitoring of therapy by Yiqun Xiong, Zhihong Shen, Bo Dong, Ying Wang, Ying Zhu, Hongxia Wei, Dongliang Zhang, Yang Che

“…This study aimed to evaluate the diagnostic and monitoring performance of LAM compared to Acid-fast bacilli (AFB), Mycobacteria Growth Indicator Tube (MGIT), and GeneXpert, and to establish its clinical utility in a stratified TB population.MethodsA prospective cohort study included TB patients stratified by AFB/MGIT status into three groups. …”
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