Predictive Modeling of Tool Life in Turning Using ANN-Taguchi Hybridization by Shrishail Sollapur B., Shubham R. Suryawanshi, Mitali Mhatre S., Dipak K. Dond, Ganesh Chate, Abhijit Bhowmik

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Highly Efficient Reduction of Cr (VI) with C₄H₆O₆ by Hao Peng, Zonghui Qin, Guixuan Jin, Jingjing Wang, Jielin Qin, Lihua Ao, Bing Li

“…A higher concentration of tartaric acid and higher reaction temperature could facilitate the reduction process and reduce reaction time.…”
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Two-Layer Predictive Control of a Continuous Biodiesel Transesterification Reactor by Hongyan Shi, Dingding Wang, Decheng Yuan, Tianran Wang

“…Based on a validated mechanistic model, the least squares (LS) algorithm is used to identify the finite step response (FSR) process model adapted in the controller. The two-layer predictive control method achieves the steady-state optimal setpoints and resolves the multivariable dynamic control problems synchronously. …”
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Water Supply Network System Control Based on Model Predictive Control by Adel Abdulrahman, Nagib Nasher

“…This paper considers the application of a controller that is approved to be robust to improve the behavior of the water network supply system, to maintain stable operation of the water flow rate, and reduce the operational cost by manipulating the pump speed. The model predictive control (MPC) algorithm is one of the most common automatic control system that has got a wide spread application in process industry. …”
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Parameter Optimization of MIMO Fuzzy Optimal Model Predictive Control By APSO by Adel Taieb, Moêz Soltani, Abdelkader Chaari

“…This paper introduces a new development for designing a Multi-Input Multi-Output (MIMO) Fuzzy Optimal Model Predictive Control (FOMPC) using the Adaptive Particle Swarm Optimization (APSO) algorithm. …”
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Appropriate Combination of Artificial Intelligence and Algorithms for Increasing Predictive Accuracy Management by Shahram Gilani Nia

“…Evaluation process includes introducing Fourier series, Markov chain model prediction and comparison (Gray) combined with the model prediction Gray- Fourier- Markov that the mixed results, to create an expert system predicted with artificial intelligence, made this model to predict the effectiveness of random fluctuation in most data management programs to increase. …”
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A predictive method for the shear strength—displacement behavior of rockfill materials by Tennison Freire de Souza Junior, Sidnei Helder Cardoso Teixeira, Alessander Kormann

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Machine Learning-Driven Transcriptome Analysis of Keratoconus for Predictive Biomarker Identification by Shao-Hsuan Chang, Lung-Kun Yeh, Kuo-Hsuan Hung, Yen-Jung Chiu, Chia-Hsun Hsieh, Chung-Pei Ma

“…Machine learning algorithms were then used to analyze the gene sets, with SHapley Additive exPlanations (SHAP) applied to assess the contribution of key feature genes in the model’s predictions. Selected feature genes were further analyzed through Gene Ontology (GO) enrichment to explore their roles in biological processes and cellular functions. …”
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Unsupervised Action Anticipation Through Action Cluster Prediction by Jiuxu Chen, Nupur Thakur, Sachin Chhabra, Baoxin Li

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Predictive modeling of major polluters based on the German PRTR emissions data by Heiko Thimm, Vanessa Schmidt

“…In accordance with the CRISP-DM process model, an analytical dataset is constructed and utilized to train two machine learning models: one to predict the annual branch-specific top 10 polluters for greenhouse gas (GHG) emissions into the air, and another for heavy metal discharges into water. …”
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Robust Cross-Validation of Predictive Models Used in Credit Default Risk by Jose Vicente Alonso, Lorenzo Escot

“…While many methodologies have been developed, cross-validation is perhaps the most widely accepted, often being part of the model development process by optimizing the hyperparameters of predictive algorithms. …”
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Unified Ecosystem for Data Sharing and AI-Driven Predictive Maintenance in Aviation by Igor Kabashkin, Vitaly Susanin

“…The proposed ecosystem enables predictive analytics and anomaly detection, enhancing decision-making processes for airlines, maintenance, repair, and overhaul providers, and regulatory bodies. …”
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An Earlier Predictive Rollover Index Designed for Bus Rollover Detection and Prevention by Shun Tian, Lang Wei, Chris Schwarz, WenCai Zhou, Yuan Jiao, YanQin Chen

“…This will help provide a certain amount of lead time for the control system to respond more effectively. Before the prediction process, an estimation equation was proposed to better estimate the LTR; the equation was validated using Simulink and TruckSim. …”
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Complex Network Algorithm for Glossary Formation Context-Related Predictive Terms by Oleg Popov, Adrian Grosu, Sergey Kramarov

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Inhibition of return emerges with non-predictive spatial cueing of the stop-signal by Md. Tanbeer Haque, Md. Tanbeer Haque, Luca Conci, Giampiero Bardella, Sabrina Fagioli, Stefano Ferraina, Fabio Di Bello, Pierpaolo Pani

“…Here, we test whether a non-predictive spatial cueing improves inhibitory control as well. …”
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Tumor-infiltrating lymphocytes and breast cancer: Beyond the prognostic and predictive utility by Andrea Ravelli, Giandomenico Roviello, Daniele Cretella, Andrea Cavazzoni, Alessandra Biondi, Maria Rosa Cappelletti, Laura Zanotti, Giuseppina Ferrero, Marco Ungari, Fabrizio Zanconati, Alberto Bottini, Roberta Alfieri, Pier Giorgio Petronini, Daniele Generali

“…In parallel, the clinical evaluation of tumor-infiltrating lymphocytes has been shown to effectively predict treatment outcomes in both neoadjuvant and adjuvant settings. …”
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A real-time predictive postural control system with temperature feedback by Yaoyu Duan, Huimin Jiao, Dangxiao Wang, Xingwei Guo

“…An Long Short-Term Memory (LSTM) neural network with a sliding window method is incorporated to predict the posture patterns of the next state. In order to optimize the bidirectional LSTM training process, cross-validation is utilized to assess model performance. …”
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Disturbances of protein c activity in abdominal sepsis: Diagnostic and predictive importance by Karamarković Aleksandar P., Mirković Darko, Stanković Nebojša, Nikolić Valentina, Jeremić Vasilije, Radenković Dejan, Stefanović Branislav

“…Clinical difficulties in the treatment of abdominal sepsis were related to inherent problems of limited clinical signs and the rapid spread of infection. An inflammatory process is often well under way before the presence of clinical signs and symptoms of sepsis. …”
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STRATEGI PERCEPATAN PENURUNAN STUNTING: STUDI KASUS, PENDAMPINGAN AKSI CEGAH STUNTING DI KELURAHAN RAWANG by Januardi, Fitriati, Yonny Arita Taher, Asnawilis, Silvia Millenia Afrila, Jefri Gusnedi, Finicho Yulandra, Supriadi

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A Systematic Review on Smart and Predictive Maintenance in Tool Condition Monitoring by Dhanalekshmi Prasad Yedurkar, Thomas Schlech, Markus G. R. Sause

“…In a situation like this, a well-planned SPM strategy involving monitoring real-time health of tools used for cutting is beneficial. In the industrial predictive maintenance domain of Industry 5.0, accurate prediction of RUL of machinery is highly desired. …”
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