A benchmark dataset for global evapotranspiration estimation based on FLUXNET2015 from 2000 to 2022 by W. Li, W. Li, Z. Yao, Z. Yao, Y. Qu, Y. Qu, H. Yang, Y. Song, L. Song, L. Wu, Y. Cui, Y. Cui

“…Furthermore, our gap-filled dataset demonstrates strong consistency with FLUXNET2015 in terms of data distribution. …”
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Vehicle routing problem in waste collection: a case study in Son Tra, Da Nang by Le Hoang Son, Truong Nguyen Song Ha, Nguyen Ngoc Phuong, Phan Bao An

“…This study investigates the application of network analysis to optimize solid waste collection routes in Son Tra District, Da Nang City. Twelve collection routes, encompassing 30 collection points, were tracked using GPS equipment and digitized in QGIS. …”
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Deep Learning-Based Multitarget Motion Shadow Rejection and Accurate Tracking for Sports Video by Chunxia Duan

“…The preprocessed remote sensing images are converted into grayscale images, the histogram is normalized, and the appropriate height threshold is selected in combination with the regional growth function to realize the rejection of sports video multitarget motion shadow and establish the sports video multitarget network model. The distance and direction of the precise target displacement are determined by frequency-domain vectors and null domain vectors, and the target action judgment mechanism is formed by decision learning. …”
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Hybrid deep learning optimization for smart agriculture: Dipper throated optimization and polar rose search applied to water quality prediction. by Amal H Alharbi, Faris H Rizk, Khaled Sh Gaber, Marwa M Eid, El-Sayed M El-Kenawy, Ehsan Khodadadi, Nima Khodadadi

“…This study presents a novel hybrid metaheuristic framework that combines Dipper Throated Optimization (DTO), a bio-inspired algorithm modeled on bird foraging behavior, with Polar Rose Search (PRS) to enhance deep learning models in predictive water quality assessment. …”
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A Novel RMS-Driven Deep Reinforcement Learning for Optimized Portfolio Management in Stock Trading by Asma Sattar, Amna Sarwar, Saira Gillani, Maryam Bukhari, Seungmin Rho, Muhammad Faseeh

“…More specifically, three kinds of DRL models are presented, combined with data from stock earnings reports, Max Drawdown rewards, and sentiment indicators (RMS), known as PPO_RMS, A2C_RMS, and DDPG_RMS, respectively. …”
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Flood detection and mapping through multi-resolution sensor fusion: integrating UAV optical imagery and satellite SAR data by Mulham Fawakherji, Leila Hashemi-Beni

“…Using machine learning algorithms, the approach effectively extracts inundated and dry vegetation, achieving accuracy up to 97.6% for inundated vegetation and 81.9% for dry vegetation, demonstrating its potential for improving flood mapping precision.…”
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Investigating and Optimizing MINDWALC Node Classification to Extract Interpretable Decision Trees from Knowledge Graphs by Maximilian Legnar, Joern-Helge Heinrich Siemoneit, Gilles Vandewiele, Jürgen Hesser, Zoran Popovic, Stefan Porubsky, Cleo-Aron Weis

“…This work deals with the investigation and optimization of the MINDWALC node classification algorithm with a focus on its ability to learn human-interpretable decision trees from knowledge graph databases. …”
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Data-Driven Customer Retention Strategies in E-Commerce: A Fuzzy Z-Number Approach by Siyin Hu, An Chen

“…After customer churn has been predicted, Fuzzy Z-numbers are used to help make the right decisions on which customers should be retained. This approach enables us to bring in quantitative and qualitative aspects of the decision-making process like the customers’ behavior, their preferences, and demographic data. …”
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Atomic Energy Optimization: A Novel Meta-Heuristic Inspired by Energy Dynamics and Dissipation by Mohammed Omari, Mohammed Kaddi, Khouloud Salameh, Ali Alnoman, Mohammed Benhadji

“…AEO models optimization by mimicking the energy accumulation, transfer, and dissipation behaviors observed in atoms, particularly during processes involving electrostatic charge and discharge. …”
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Elastic net with Bayesian Density Estimation model for feature selection for photovoltaic energy prediction by Venkatachalam Mohanasundaram, Balamurugan Rangaswamy

“…Non-parametric prediction Bayesian Density Estimation (BDE) is comprehensive data regarding residual distributions and predictor impacts. …”
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DDPG-Based UAV-RIS Framework for Optimizing Mobility in Future Wireless Communication Networks by Yasir Ullah, Idris Olalekan Adeoye, Mardeni Roslee, Mohd Azmi Ismail, Farman Ali, Shabeer Ahmad, Anwar Faizd Osman, Fatimah Zaharah Ali

“…This paper introduces a deep deterministic policy gradient (DDPG)-based UAV-RIS framework to overcome these limitations. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…Through the discussion, core issues in this field emerge, including model interpretability, non-independent and identically distributed (Non-IID) data distributions, and computational challenges in FL architecture. …”
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How deep learning identifies and learns aspects of plant for classification by Devi V. Sowmya, Pooja Govu, Ramya Sande, Priya Nakka Vishnu

“…By merging classical structural approach with innovative machine learning methods. We gathered data from diverse plants highlighting mainly on leaves, fruits, flowers and vegetables. …”
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Predicting Diabetic Retinopathy and Nephropathy Complications Using Machine Learning Techniques by D. R. Manjunath, J. J. Lohith, S. Selva Kumar, Abhijit Das

“…Diabetes and its complications, especially Diabetic Retinopathy (DR) and Diabetic Nephropathy (DN) is a big challenge to the global healthcare system and needs accurate predictive models to help in early diagnosis and intervention. …”
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Data-Driven Revolution in Academic Support for Mathematics Underachievers through Random Forest Individual and Hybrid Model by Asadi Srinivasulu, Vanithamani Palanisamy

“…The dataset utilized in this study encompasses 30 distinct parameters, organized into four comprehensive categories: demographics, family details, study habits, and lifestyle choices. …”
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Stroke risk prediction: a deep learning approach for identifying high-risk patients by Afeez A. Soladoye, Kazeem M. Olagunju, Sunday A. Ajagbe, Ibrahim A. Adeyanju, Precious I. Ogie, Pragasen Mudali

“…Furthermore, different data balancing techniques were employed to improve the accurate performance of the model. …”
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Extraction of eucalyptus trees along railway lines based on decision tree classification and identification of potential landslides: A case study along Guangxi section of the Guizh... by Mingming MA, Shangqian WU, Meng XIE, Peng TONG, Xiaobo YUAN

“…Based on Landsat 9 OLI, GF-7 imagery, and DEM data, a decision tree classification algorithm is employed to extract the planting areas of eucalyptus within a 1 km buffer zone along the railway. …”
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Evaluating Image Quality Metrics as Loss Functions for Image Dehazing by Rareș Dobre-Baron, Adrian Savu-Jivanov, Cosmin Ancuți

“…The difficulty and manual nature of procuring human evaluators for ranking the quality of images affected by various types of degradations, and of those cleaned up by developed algorithms, has lead to the widespread adoption of automated metrics, like the Peak Signal-to-Noise Ratio (PSNR) and the Structural Similarity Index Metric (SSIM). …”
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AI Innovations in rPPG Systems for Driver Monitoring: Comprehensive Systematic Review and Future Prospects by Soha G. Ahmed, Katrien Verbert, Nazar Zaki, Ashraf Khalil, Hamad Aljassmi, Fady Alnajjar

“…There is also a lack of diverse population representation, especially female drivers, in datasets. …”
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Application Research of Cross-Attention Mechanism for Traffic Prediction Based on Heterogeneous Data by Feng Zhihao

“…This thorough analysis aims to direct future research endeavors and open the door for more dependable and effective intelligent transportation systems.…”
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