Analysis of the Impact and Weight of Structural Parameters on the Operating Characteristics of the Spring Operating Mechanism by Qi Long, Xu Yang, Keru Jiang, Changhong Zhang, Xiao Wang, Xiongying Duan

“…By integrating the support vector machine surrogate model with the Monte Carlo reliability analysis method, the failure probability of the mechanism was determined, along with the specific influence weights of structural parameters on the operational characteristics of the spring-operated mechanism. …”
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Flexible Job Shop Scheduling Optimization Using Genetic Algorithm For Handling Dynamic Factors by Masmur Tarigan, Ford Lumban Gaol, Tuga Mauritsius, Widodo Budiharto

“… This research introduces the Genetic Adaptive Scheduling System (GASS), a novel framework designed to optimize scheduling in Flexible Job Shop Scheduling Problems (FJSP). …”
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INFORMATION TECHNOLOGIES IN OPTIMIZING SCIENTIFIC RESEARCH IN THE SPHERE OF THEORETICAL AND APPLIED LINGUISTICS IN THE DIGITAL AGE by M. V. Kamensky

“…An extended classification of linguistic software is provided, on the basis of functionality, cross-platform compatibility, free licensing, and open source model of release. Recommendations are given for the best practices of integrating the corpus management, lexicographic, machine and computer-aided translation, and phonetic software, as well as programming languages with support for natural language processing algorithms, into the linguistic scientific workflow. …”
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Optimizing role assignment for scaling innovations through AI in agricultural frameworks: An effective approach by Sonia Bisht, Ranjana, Swapnila Roy

“…This model is tested in various agricultural scenarios to evaluate its impact on operational efficiency and innovation scalability. …”
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A Hybrid Multiobjective Differential Evolution Algorithm and Its Application to the Optimization of Grinding and Classification by Yalin Wang, Xiaofang Chen, Weihua Gui, Chunhua Yang, Lou Caccetta, Honglei Xu

“…Its natural formulation is a constrained multiobjective optimization problem of complex expression since the process is composed of one grinding machine and two classification machines. …”
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Efficient Multi-Start Gray Wolf Optimization Algorithm for the Distributed Permutation Flowshop Scheduling Problem with Preventive Maintenance by Congcong Sun, Hongyan Sang, Leilei Meng, Biao Zhang, Tao Meng

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Usage of the dwarf mongoose optimization-based ANFIS on the static strength of seasonally frozen soils by Bowen Liu, Junbin Chen, Xiaoguang Zhang, Zhenwei Wang

“…To find hyper-parameters of models as ideally as possible, the dwarf mongoose optimization algorithm (DMOA) was employed (ANF DW, and SVR DW). …”
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Bio-Inspired Object Detection and Tracking in Aerial Images: Harnessing Northern Goshawk Optimization by Agnivesh Pandey, Rohit Raja, Sumit Srivastava, Krishna Kumar, Manoj Gupta, Chanyanan Somthawinpongsai, Aziz Nanthaamornphong

“…The proposed NGPGAN model integrates object detection and tracking stages, leveraging the Kalman filter with Northern Goshawk Optimization (NGO) for tracking and employing NGPGAN for detection. …”
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Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms by Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh, Ali Behmanesh

“…Machine learning algorithms offer a promising solution by leveraging large amounts of patient data to predict optimal discharge times. …”
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Neurocomputational Mechanisms of Sense of Agency: Literature Review for Integrating Predictive Coding and Adaptive Control in Human–Machine Interfaces by Anirban Dutta

“…Objective: This review synthesizes computational models—particularly predictive coding, Bayesian inference, and optimal control theories—to provide a unified framework for understanding the SoA in both healthy and dysfunctional brains. …”
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MACHINE LEARNING TECHNIQUES IN DETERMINING LAND SUITABLE FOR CEREAL CROPS IN IKERE EKITI, EKITI STATE, SOUTHWESTERN NIGERIA. by Ijaware Victor Ayodele, Kehinde Ruth Aniyikaye

“…The primary objective was to identify critical factors for sustainable agriculture, and use predictive models for optimal cereal zones using machine learning algorithms. …”
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PERFORMANCE PREDICTION OF ROADHEADERS USING SUPPORT VECTOR MACHINE (SVM), FIREFLY ALGORITHM (FA) AND BAT ALGORITHM (BA) by Arash Ebrahimabadi, Alireza Afradi

“…By understanding the various factors that influence performance, implementing predictive models, and continuously improving machine design and operational strategies, the potential of roadheaders can be maximized. …”
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Is AI for illiterate farmers? A systematic literature review of AI and machine learning applications and challenges for precision agriculture by Azubuike Erike, Charles Ikerionwu, Augustine Azubogu, Victory Obodoagwu

“…The research found that lightweight, adaptable AI models are essential for resource-constrained environments. …”
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Data driven tensile strength prediction for fiber-reinforced rubberized recycled aggregate concrete using machine learning by Avijit Pal, Khondaker Sakil Ahmed, Nur Yazdani

“…The models were applied to predict the tensile strengths of the concrete and to determine the optimal proportions of ingredients. …”
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Prediction of BRAF and TERT status in PTCs by machine learning-based ultrasound radiomics methods: A multicenter study by Hui Shi, Ke Ding, Xue Ting Yang, Ting Fan Wu, Jia Yi Zheng, Li Fan Wang, Bo Yang Zhou, Li Ping Sun, Yi Feng Zhang, Chong Ke Zhao, Hui Xiong Xu

“…Then these features were included to nine different ML models to predicting different mutations, and optimal models plus statistically significant clinical information were also conducted. …”
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Novel machine learning paradigms-enabled methods for smart building operations in data-challenging contexts: Progress and perspectives by Fan Cheng, Lei Yutian, Mo Jinhan, Wang Huilong, Wu Qiuting, Cai Jiena

“…This review aims to present the progress and perspectives on the effective utilization of novel machine learning paradigms for three major building energy management tasks, i.e., building energy predictions, fault detection and diagnosis, and control optimizations. …”
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Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study by Cyrielle Brossard, Christophe Goetz, Pierre Catoire, Lauriane Cipolat, Christophe Guyeux, Cédric Gil Jardine, Mahuna Akplogan, Laure Abensur Vuillaume

“…This type of tool should be integrated into the overall organization of an ED, to optimize the resources of healthcare professionals.…”
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Towards precision oncology: a multi-level cancer classification system integrating liquid biopsy and machine learning by Amr Eledkawy, Taher Hamza, Sara El-Metwally

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Leveraging machine learning to extract insights and spatial patterns from hydrogeochemical datasets for major groundwater regions in the UAE by Khalid ElHaj, Dalal Alshamsi, Balqees Alblooshi, Fatima Haile, Shamma AlRashdi, Basant Elabyad

“…In this regard, the best models accuracy wise were optimized Random Forest and Extra-trees. …”
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Prediction of Early Diagnosis in Ovarian Cancer Patients Using Machine Learning Approaches with Boruta and Advanced Feature Selection by Tuğçe Öznacar, Tunç Güler

“…This research aims to assess the feature extraction process from various machine learning techniques for better modelling of ovarian cancer and the selection process in ovarian cancer analysis. …”
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