Economic Model Predictive Control for Wastewater Treatment Processes Based on Global Maximum Error POD-TPWL by Zhiyu Wang, Jing Zeng, Jinfeng Liu

“…These advancements underscore the method’s potential for real-time implementation in complex industrial systems, balancing computational efficiency with control precision. …”
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The integration of compressive sensing and clustering for date gathering in unmanned aircraft system–aided networks by Xiangmao Chang, Quan Wang, Zhiguo Qu, Yanchao Zhao

“…Evaluations based on real data traces show that the proposed algorithms greatly reduced the energy consumption of sensor nodes efficiency.…”
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Hybrid Deep Learning Approaches for Improved Genomic Prediction in Crop Breeding by Ran Li, Dongfeng Zhang, Yanyun Han, Zhongqiang Liu, Qiusi Zhang, Qi Zhang, Xiaofeng Wang, Shouhui Pan, Jiahao Sun, Kaiyi Wang

“…Genomic selection plays a crucial role in breeding programs designed to improve quantitative traits, particularly considering the limitations of traditional methods in terms of accuracy and efficiency. …”
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DEVELOPMENT OF PERSPECTIVE ORGANO-HYBRID COMPOSITION BASED ON MODIFIED POLYACRYLONITRILE DURING REPAIR AND INSULATION OPERATIONS IN WELLS by A. S. Gumerova, R. N. Yakubov, L. E. Lenchenkova, D. A. Ilash

“…Introduction: Due to the entry of most of the fields into the final stage of development, the relevance of issues related to improving the efficiency of repair and insulation operations (RIO) conducted at the complicated well stock increases. …”
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Analytical approach to digital channel performance optimization of mobile money transactions in emerging markets by Adeolu Dairo, Krisztián Szűcs

“…The results indicated that fuzzy c-means clustering and RFM algorithm are efficient for target selection. Also, the mapping of clusters with the appropriate channel of transactions revealed that mobile money users’ transactions could be optimized along the digital channel. …”
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Footprints of the Future: Cleaner and Faster Transportation with Shared E-Scooter Operational Models by Ömer Kaya

“…To this end, a four-step scientific and strategic solution approach is developed: (i) the identification and detailed explanation of 5 main and 24 sub-criteria, (ii) the weighting of criteria through the Analytical Hierarchical Process (AHP), Multi-Influencing Factor (MIF), and Best–Worst Method (BWM) in order to increase the sensitivity and robustness of the study, (iii) obtaining a suitability map for the solution of implementation, site selection, and service areas problems of operational models, and (iv) assigning shared e-scooter stations and analyzing their performance levels with COmplex PRoportional ASsessment (COPRAS). …”
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Research progress and challenges in prevention and control of combined disasters of coal spontaneous combustion and methane in coal mine goaf by Botao QIN, Dong MA

“…In response to the urgent need for efficient prevention and control of coal spontaneous combustion and gas composite disasters in goaf areas, four major challenges are summarized by analyzing the recent combined disasters of coal spontaneous combustion and methane in goaf areas: accurate prediction and evaluation of coupled disaster risk, accurate acquisition of combined disaster information, reasonable selection of enclosed areas, accurate positioning and intelligent targeted disposal of disaster areas. …”
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Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

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Emotion Modeling in Speech Signals: Discrete Wavelet Transform and Machine Learning Tools for Emotion Recognition System by K. Daqrouq, A. Balamesh, O. Alrusaini, A. Alkhateeb, A. S. Balamash

“…The performance of various classifiers, including support vector machine (SVM), K-Nearest Neighbors (KNN), Efficient Logistic Regression, Naive Bayes, Ensemble, and Neural Network, was evaluated for emotion classification using the EMO-DB dataset. …”
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Predicting temporomandibular disorders in adults using interpretable machine learning methods: a model development and validation study by Yuchen Cui, Fujia Kang, Xinpeng Li, Xinning Shi, Han Zhang, Xianchun Zhu

“…IntroductionTemporomandibular disorders (TMD) have a high prevalence and complex etiology. The purpose of this study was to apply a machine learning (ML) approach to identify risk factors for the occurrence of TMD in adults and to develop and validate an interpretable predictive model for the risk of TMD in adults.MethodsA total of 949 adults who underwent oral examinations were enrolled in our study. 5 different ML algorithms were used for model development and comparison, and feature selection was performed by feature importance ranking and feature decreasing methods. …”
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Development and application of Sinopec integrated management platform for underground gas storage by MI Lidong,ZENG Daqian,LIU Hua,ZHANG Guangquan,ZHANG Junfa

“…The integration of these phases is crucial for the safe construction and efficient operation of gas storage facilities. Given the complexity and scope of UGS, there is a pressing need for a comprehensive system that encompasses “management decision-making, monitoring, early warning, simulation analysis, and production control” to facilitate the integrated application of the entire gas storage process. …”
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Aqua-MC as a simple open access code for uncountable runs of AquaCrop by Vahid Adabi, Hadi Ramezani Etedali, Asghar Azizian, Faraz Gorginpaveh, Ali Salem, Ahmed Elbeltagi

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Network Security Situational Awareness Based on Improved Particle Swarm Algorithm and Bidirectional Long Short-Term Memory Modeling by Peng Zheng, Yun Cheng, Wei Zhu, Bo Liu, Shuhong Liu, Shijie Wang, Jinyin Bai

“…The refined Particle Swarm Optimization algorithm is applied to optimize the parameters of the BiLSTM network, enabling a rapid convergence and enhancing the training efficiency, thus effectively identifying the categories of network attacks. …”
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Application of the Adaptive Mixed-Order Cubature Particle Filter Algorithm Based on Matrix Lie Group Representation for the Initial Alignment of SINS by Ning Wang, Fanming Liu

“…These results demonstrate that the proposed method substantially enhances the filtering accuracy, robustness, and computational efficiency of SINS, confirming its practical value for initial alignment in high-noise, complex dynamic, and nonlinear navigation systems.…”
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A Hierarchical Archimedean Copula (HAC) model for climatic variables: an application to Kenyan data by Kevin Otieno, Linda Chaba, Linda Chaba, Evans Omondi, Evans Omondi, Collins Odhiambo, Collins Odhiambo, Bernard Omolo, Bernard Omolo

“…However, conventional copula approaches, such as the bivariate copula, often fail to capture complex interactions in high-dimensional climate data. …”
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A novel immunoinformatic approach for design and evaluation of heptavalent multiepitope foot-and-mouth disease virus vaccine by Mostafa R. Zaher, Mohamed H. El-Husseiny, Naglaa M. Hagag, Azza M. El-Amir, Mohamed E. El Zowalaty, Reham H. Tammam

“…Finally, the DNA sequence of the vaccine was cloned in pET-30a (+) for efficient expression in Escherichia coli. Conclusion The inclusion of computational and immunoinformatic approaches will ensure cost-effectiveness and rapid design of FMDV vaccine, decrease wet lab experimentation, and aid the selection of novel FMDV vaccines. …”
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A Hybrid Machine Learning Model for Accurate Autism Diagnosis by Durga Prasad Kavadi, Venkata Rami Reddy Chirra, Palacharla Ravi Kumar, Sai Babu Veesam, Sagar Yeruva, Lalitha Kumari Pappala

“…This study presents a Big Data and Machine Learning-based Medical Data Classification (BDML-MDCASD) model aimed at improving the accuracy and efficiency of ASD diagnosis. The proposed model employs an improved Squirrel Search Algorithm-based Feature Selection (ISSA-FS) to identify the most relevant features from medical data. …”
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Condensation of Data and Knowledge for Network Traffic Classification: Techniques, Applications, and Open Issues by Changqing Zhao, Ling Xia Liao, Guomin Chen, Han-Chieh Chao

“…The accurate and efficient classification of network traffic, including malicious traffic, is essential for effective network management, cybersecurity, and resource optimization. …”
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Direct Immunoprecipitation of Antigen with Phage Displaying Immunoglobulin Fragment by P. Telleman, G.A. Kingsbury, R.P. Junghans

“…This report describes the direct precipitation of phage-Fab-antigen complexes by polyethylene glycol precipitation, resulting in highly selective and efficient recovery of antigen from complex mixtures without nonspecific protein contamination. …”
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THEORETICAL AND PRACTICAL VIEW OF FINANCIAL REGULATION OF INNOVATIVE ACTIVITIES IN THE CONDITIONS OF WAR IN UKRAINE by Vitalii V. Zіanko, Tetiana D. Nechyporenko

“…The implementation of these measures will improve the efficiency of budgetary spending, optimize the regulatory environment, and intensify technology transfer. …”
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