Unmanned Aerial Vehicle-Based Hyperspectral Imaging for Potato Virus Y Detection: Machine Learning Insights by Siddat B. Nesar, Paul W. Nugent, Nina K. Zidack, Bradley M. Whitaker

“…Two of them are in the visible spectrum, two are in the near-infrared spectrum, and one is in the red-edge spectrum. This research shows that early-season PVY detection is feasible using UAV hyperspectral imaging, offering the potential to minimize economic and yield losses. …”
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Geostatistics and artificial intelligence coupling: advanced machine learning neural network regressor for experimental variogram modelling using Bayesian optimization by Saâd Soulaimani, Saâd Soulaimani, Ayoub Soulaimani, Kamal Abdelrahman, Abdelhalim Miftah, Mohammed S. Fnais, Biraj Kanti Mondal

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Development of deep-learning-based autonomous agents for low-speed maneuvering in Unity by Riccardo Berta, Luca Lazzaroni, Alessio Capello, Marianna Cossu, Luca Forneris, Alessandro Pighetti, Francesco Bellotti

“…This study addresses research questions insufficiently covered in the literature, exploring curriculum learning (CL), agent generalization (knowledge transfer), computation distribution (CPU vs. …”
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Emotion Recognition Method Using U-Net Neural Network With Multichannel EEG Features and Differential Entropy Characteristics by Haitao Huang, Ying Deng, Bowen Hao, Wenguang Liu, Xiaoyu Tu, Guojun Zeng

“…To improve accuracy in EEG-based emotion recognition and address current research limitations, providing a more robust framework for scientific study and mental health support. …”
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Eco-assessment of meat raw materials: A convolutional neural network approach to sustainable quality control by Verezubova Natalia, Sakovich Natalia, Yukovleva Olga, Chekulaev Artur, Verezubova Irina

“…Genetic algorithms are employed to optimize hyperparameters, which significantly improve model performance. …”
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Wavelet-Based ensembled intelligent technique for a better quality of fault detection and classification in AC microgrids by Nityananda Giri, Pravati Nayak, Ranjan Kumar Mallick, Sairam Mishra, Aymen Flah, Habib Kraiem, Lukas Prokop, Mohammad Kanan

“…This research introduces a novel intelligent protection technique for microgrids, leveraging Discrete Wavelet Transform (DWT) and an Ensemble Bagged Decision Tree (EBDT) classifier for precise fault detection and classification across various scenarios. …”
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Spatiotemporal Forecasting of Solar and Wind Energy Production: A Robust Deep Learning Model with Attention Framework by Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al-Abri, Rashid Al Abri

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Temperature and Humidity Prediction Based on Machine Learning by Xiong Yanqi

“…This research highlights the significant potential of machine learning techniques hi enhancing meteorological forecasting, providing valuable insights and tools for improving decision-making in industries heavily influenced by weather conditions.…”
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Privacy-preserving detection and classification of diabetic retinopathy using federated learning with FedDEO optimization by Dasari Bhulakshmi, Dharmendra Singh Rajput

“…FedDEO optimization enhances the model's performance by fine-tuning hyperparameters in a distributed manner. The research achieves state-of-the-art accuracy in DR classification using the MESSIDOR dataset for training and testing. …”
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Red Fox Optimization-Based Estimation Algorithms for Splitting Tensile Strength of Basalt Fiber Reinforced Concrete by Xiao Wu, Daoyong Zhu, Qin Yan

“…This simulation is very dependent on its hyperparameters; to find the optimal set of hyperparameters, the red fox optimization (RFO) is linked to both LSSVR and RF. …”
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A swarm-optimization based fusion model of sentiment analysis for cryptocurrency price prediction by Dimple Tiwari, Bhoopesh Singh Bhati, Bharti Nagpal, Amal Al-Rasheed, Masresha Getahun, Ben Othman Soufiene

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Prediction of Pollutant Emissions from a Low-Speed Marine Engine Based on Harris Hawks Optimization and Lightgbm by Yue Chen, Yulong Shen, Miaomiao Wen, Cunfeng Wei, Junjie Liang, Yuanqiang Li, Ying Sun

“…With the rapid development of data science, machine learning has been widely applied to research on pollutant emission prediction in internal combustion engines due to its excellent responsiveness and generalization ability. …”
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Enhancing solar energy conversion efficiency: Thermophysical property predicting of MXene/Graphene hybrid nanofluids via bayesian-optimized artificial neural networks by Dheyaa J. jasim, Husam Rajab, As'ad Alizadeh, Kamal Sharma, Mohsen Ahmed, Murizah Kassim, S. AbdulAmeer, Adil A. Alwan, Soheil Salahshour, Hamid Maleki

“…Accurately predicting thermo-physical properties (TPPs) of MXene/graphene-based nanofluids is crucial for photovoltaic/thermal solar systems, driving focused research on developing precise TPP predictive models. …”
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Deep Learning-Based Network Security Data Sampling and Anomaly Prediction in Future Network by Lan Liu, Jun Lin, Pengcheng Wang, Langzhou Liu, Rongfu Zhou

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Optimizing Kernel Extreme Learning Machine based on a Enhanced Adaptive Whale Optimization Algorithm for classification task. by ZeSheng Lin

“…Data classification is an important research direction in machine learning. In order to effectively handle extensive datasets, researchers have introduced diverse classification algorithms. …”
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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…Human activity recognition (HAR) systems are essential in healthcare, surveillance, and sports analytics, enabling automated movement analysis. This research presents a novel HAR system combining graph structures with deep neural networks to capture both spatial and temporal patterns in activities. …”
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Random fields and up scaling, towards a more predictive probabilistic quantitative hydrogeology by Noetinger, Benoît

“…That note does not present original results, but a selection of some potentially fruitful research avenues suggested by previous works.…”
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Training a convolutional neural network for exoplanet classification with transit photometry data by Juliana Wang

“…As a result, efforts to enhance the efficiency of exoplanet research have led to the development of various detection methods, including transit photometry. …”
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A Lightweight Conditional Diffusion Segmentation Network Based on Deformable Convolution for Surface Defect Detection by Jiusheng Chen, Yibo Zhao, Haibing Wang

“…Surface defect detection is crucial to industrial manufacturing and research for surface defects has drawn much attention. …”
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A Novel SOH Estimation Method for Lithium-Ion Batteries Based on the PSO–GWO–LSSVM Prediction Model with Multi-Dimensional Health Features Extraction by Xu He, Zhengpu Wu, Jinghan Bai, Junchao Zhu, Lu Lv, Lujun Wang

“…However, the use of individual health features (HFs) and the selection of hyperparameters can increase the data processing burden on the BMS and reduce the accuracy of data-driven models. …”
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