ANALYSIS OF GENERAL PLOW BODY TRACTIVE RESISTANCE by A. Yu. Izmaylov, A. A. Artyushin, N. E. Evtyushenkov, G. S. Bisenov, V. F. Rozhin, D. N. Kynev

“…Rational forms of the organization of operations enable reduction of standing time of combines, increase capacity of transportation vehicles and by that grain loss reduction owing to reduction reducing of harvest terms. …”
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Medical management after subthalamic stimulation in Parkinson’s disease: a phenotype perspective by Ana Paula BERTHOLO, Carina FRANÇA, Wilma Silva FIORINI, Egberto Reis Barbosa, Rubens Gisbert CURY

“…In a subset of patients with severe dyskinesia before surgery, an initial reduction in levodopa seems to be a more reasonable approach. …”
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AI‐Driven TENGs for Self‐Powered Smart Sensors and Intelligent Devices by Aiswarya Baburaj, Syamini Jayadevan, Akshaya Kumar Aliyana, Naveen Kumar SK, George K Stylios

“…This review explores the synergistic potential of AI‐driven TENG systems, from optimizing materials and fabrication to embedding machine learning and deep learning algorithms for intelligent real‐time sensing. These advancements enable improved energy harvesting, predictive maintenance, and dynamic performance optimization, making TENGs more practical across industries. …”
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Experimental acoustic study of small horizontal axis wind turbines based on computational fluid dynamics and artificial intelligence approaches by M. Sadeghi malekabadi, A.R. Davari

“…Comparisons between CFD results and NN predictions validate the accuracy of the neural network. …”
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Construction of a prostate adenocarcinoma molecular classification: integrating spatial transcriptomics with retrospective cohort validation by Bingnan Lu, Yifan Liu, Guo Ji, Yuntao Yao, Zhao Yang, Bolin Zhu, Lei Wang, Keqin Dong, Yuanan Li, Jiaying Shi, Junzhe He, Runzhi Huang, Wang Zhou, Xinming Cui, Xiuwu Pan, Xingang Cui

“…Based on MDPGs, we constructed a malignant cell differentiation-based PRAD classification (MDPC) using the ConsensusClusterPlus algorithm. Then, we explored multi-omics correlations of MDPC, and constructed the regulation networks of MDPC as well as the prognostic prediction model. …”
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Genomic selection for meat quality traits based on VIS/NIR spectral information by Xi Tang, Lei Xie, Min Yan, Longyun Li, Tianxiong Yao, Siyi Liu, Wenwu Xu, Shijun Xiao, Nengshui Ding, Zhiyan Zhang, Lusheng Huang

“…Among them, the prediction accuracy of Strategy II for fat (%) even improved by 50.7% compared to traditional GS. …”
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A systematic review of AI-powered collaborative learning in higher education: Trends and outcomes from the last decade by Attila Kovari

“…Furthermore, this review concludes that predictive analytics and multimodal approaches supported by artificial intelligence have been shown to enhance student engagement and motivation, while personalized learning systems and recommender algorithms ensure the effectiveness of collaborative learning environments. …”
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Error Data Analytics on RSS Range-Based Localization by Shuhui Yang, Zimu Yuan, Wei Li

“…The significance of our discovery has two folds: First, we present a general expression for localization error data analytics, which can explain and predict the accuracy of range-based localization algorithms; second, the further study on the general analytics expression and its minimum can be used to optimize current localization algorithms.…”
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System Layout and Grasp Efficiency Optimization for a Multirobot Waste Sorting System by Bart Engelen, Sander Teck, Jef R. Peeters, Karel Kellens

“…The findings demonstrate substantial improvements in picking efficiency of up to 3.6% and pick rates up to 37.5%, underscoring the potential of advanced heuristic algorithms in robotic waste sorting systems. Future work will focus on refining gripper designs and exploring predictive algorithms to further enhance grasp success rates.…”
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Identification of a panel of volatile organic compounds in urine for early detection of for bladder cancer by Mai Mao, Yanli Zhang, Haibo Liu, Xiumei Jiang, Yuxiao Zhao, Qi Liu, Zhongfang Niu, Xin Zhang

“…VOCs in urine samples were detected using gas chromatography-ion mobility spectrometry (GC-IMS). Machine learning algorithms were used to establish diagnostic models for predicting BC based on differential expressed VOCs. …”
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Performance validation of global MPPT for efficient power extraction through PV system under complex partial shading effects by Muhammad Abu Bakar Siddique, Dongya Zhao, Khmaies Ouahada, Ateeq Ur Rehman, Habib Hamam

“…Abstract The photovoltaic (PV) energy is essential for the future of sustainable energy developments. Conventional algorithms perform well in maximum power extraction under uniform irradiance conditions (UIC). …”
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Cross-Technology Interference-Aware Rate Adaptation in Time-Triggered Wireless Local Area Networks by Hanjin Kim, Young-Jin Kim, Won-Tae Kim

“…The rate selection algorithms predict CTI occurrence times and adjust the transmission rate accordingly, enhancing the performance of existing explicit and implicit interference mitigation methods. …”
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Robotic Motion Intelligence Using Vector Symbolic Architectures and Blockchain-Based Smart Contracts by Daswin De Silva, Sudheera Withanage, Vidura Sumanasena, Lakshitha Gunasekara, Harsha Moraliyage, Nishan Mills, Milos Manic

“…The rapid adoption of artificial intelligence (AI) systems, such as predictive AI, generative AI, and explainable AI, is in contrast to the slower development and uptake of robotic AI systems. …”
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Use Cases of Machine Learning in Queueing Theory Based on a <i>GI</i>/<i>G</i>/<i>K</i> System by Dmitry Efrosinin, Vladimir Vishnevsky, Natalia Stepanova, Janos Sztrik

“…ML algorithms are used also to solve both parametric and dynamic optimization problems. …”
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Frontier machine learning techniques for melanoma skin cancer identification and categorization: An in-Depth review by Viomesh Singh, Kavita A. Sultanpure, Harshwardhan Patil

“…It's got these brainy models and algorithms that not only soak up information but also play psychic by predicting stuff on brand new data it's never laid eyes on before. …”
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An Efficient Random Forest Classifier for Detecting Malicious Docker Images in Docker Hub Repository by Maram Aldiabat, Qussai M. Yaseen, Qusai Abu Ein

“…Therefore, developing a machine learning classifier that effectively predicts and classifies whether a Docker image contains injected malicious behaviors is crucial as a proactive approach. …”
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Modelling Itasy Lake Water Quality by Long Short Term Memory (LSTM) using Landsat8 Data by Randrianiaina Jerry Jean Christien Frederick, Rakotonirina Rija Itokiana, Jean Robertin Rasoloariniaina, Fils Lahatra Razafindramisa

“…Modeling lake water quality is very important to preserve and protect this resource. Several algorithms can be used to model lake water quality using in-situ measurement data. …”
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Defect detection in textiles using back propagation neural classifier by Subrata Das, Amitabh Wahi, Suresh Jayaram

“…This paper presents a classification method to detect defects such as holes and thick places in knitted fabric by applying artificial neural network algorithm. The artificial neural network algorithms learn from the input data after successful training process, it predicts the nature of the unknown samples in very fast and accurate way. …”
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The Potential of Artificial Intelligence in Pharmaceutical Innovation: From Drug Discovery to Clinical Trials by Vera Malheiro, Beatriz Santos, Ana Figueiras, Filipa Mascarenhas-Melo

“…AI has revolutionized drug discovery and development by enabling rapid and effective analysis of vast volumes of biological and chemical data during the identification of new therapeutic compounds. The algorithms developed can predict the efficacy, toxicity, and possible adverse effects of new drugs, optimize the steps involved in clinical trials, reduce associated time and costs, and facilitate the implementation of innovative drugs in the market, making it easier to develop precise therapies tailored to the individual genetic profile of patients. …”
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Validation of the Recording of Acute Exacerbations of COPD in UK Primary Care Electronic Healthcare Records. by Kieran J Rothnie, Hana Müllerová, John R Hurst, Liam Smeeth, Kourtney Davis, Sara L Thomas, Jennifer K Quint

“…Responses were reviewed independently by two respiratory physicians. Positive predictive value (PPV) and sensitivity were calculated.…”
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