A Perception-Driven Transcale Display Scheme for Space Image Sequences by Lingling Zi, Xin Cong, Yanfei Peng, Pei Yang

“…On this basis, the latter focuses on high-quality display of space movements under different scales, including three algorithms, namely, target trajectory computing, space transcale display, and space movement display. …”
Get full text

A novel ensemble model for multi-temporal forest vegetation classification: integrating spectral-temporal features and topographic constraints by Rongfei Duan, Chunlin Huang, Peng Dou, Jinliang Hou, Ying Zhang

“…Outputting and integrating the results of multiple classifiers provides insights into the model’s classification mechanism, results proved the effectiveness of the feature extraction module and the differences among the integration strategies. The Simpson index was employed for visual evaluation, overcoming sample labelling limitations, and the influence of elevation and slope on vegetation was analysed, highlighting the necessity for topographic features in mountainous areas.…”
Get full text

COMPARISON BETWEEN MANUAL AND AUTOMATIC SEGMENTATION OF THE WHOLE-BRAIN AND CEREBELLUM by Marcos Paulo Dias de Sá e Silva, Maria Emília Seren TAKAHASHI, Tiago Pessolo Dos Santos, Carmino Antonio De Souza, Celso Darío Ramos

“…The Beth Israel Plugin in ImageJ allows both manual and automatic segmentation, making it relevant for evaluating differences in brain and cerebellum analysis. …”
Get full text

On the generalisation capabilities of fingerprint presentation attack detection methods in the short wave infrared domain by Jascha Kolberg, Marta Gomez‐Barrero, Christoph Busch

“…In this context, the authors evaluate the generalisability of multiple PAD algorithms on a dataset of 19,711 bona fide and 4339 PA samples, including 45 different PAI species. …”
Get full text

Path Loss Characterization Using Machine Learning Models for GS-to-UAV-Enabled Communication in Smart Farming Scenarios by Sarun Duangsuwan, Phakamon Juengkittikul, Myo Myint Maw

“…The performances of the path loss prediction models were evaluated using the statistical error indicators in different measurement locations and UAV trajectories. …”
Get full text

Land Surface Condition-Driven Emissivity Variation and Its Impact on Diurnal Land Surface Temperature Retrieval Uncertainty by Lijuan Wang, Ping Yue, Yang Yang, Sha Sha, Die Hu, Xueyuan Ren, Xiaoping Wang, Hui Han, Xiaoyu Jiang

“…This study utilizes thermal infrared emissivity and hyperspectral data collected from diverse underlying surfaces from 2017 to 2024 to analyze LSE variation characteristics across different surface types, spectral bands, and temporal scales. …”
Get full text

Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Furthermore, machine learning algorithms can be employed to analyze complex datasets, enhancing our ability to predict the impacts of MPs on plant health and crop performance under different environmental conditions. …”
Get full text

Advancing Transportation Routing Decisions Using Riemannian Manifold Surfaces by Emre Tokgöz, Iddrisu Awudu, Saravanan Kuppusamy

“…Though these factors increase the complexity of modeling, they provide the flexibility to evaluate the routing solutions from different perspectives: cost, distance, and time, to name a few. …”
Get full text

Human Performance-Aware Scheduling and Routing of a Multi-Skilled Workforce by Maikel L. van Eck, Murat Firat, Wim P. M. Nuijten, Natalia Sidorova, Wil M. P. van der Aalst

“…Planning human activities within business processes often happens based on the same methods and algorithms as are used in the area of manufacturing systems. …”
Get full text

Monitoring poultry social dynamics using colored tags: Avian visual perception, behavioral effects, and artificial intelligence precision by Florencia B. Rossi, Nicola Rossi, Gabriel Orso, Lucas Barberis, Raul H. Marin, Jackelyn M. Kembro

“…In separate experiments, we aim to: (i) evaluate avian visual perception of the different colored tags; (ii) assess the potential impact of tag colors on social behavior; and (iii) test the ability of the YOLO model to accurately distinguish between different colored tags on Japanese quail in social group settings. …”
Get full text

Multiomics-Based Deep Learning Prediction of Prognosis and Therapeutic Response in Patients With Extensive-Stage Small Cell Lung Cancer Receiving Chemoimmunotherapy: A Retrospectiv... by Nie F, Pei X, Du J, Shi W, Wang J, Feng L, Liu Y

“…The model’s predictive ability was evaluated using the receiver operating characteristic (ROC) curve and clinical decision curve analysis(DCA). …”
Get full text

A Comparative Study for Speech Summarization Based on Machine Learning: A Survey by Hiba Altememi, Yusra Al-Irhaim

“…As newer deep learning approaches were not included in earlier surveys, this is a new survey in this discipline where different approaches with various datasets were explored for speech summarization and evaluated using subjective or objective methods.…”
Get full text

A Critical Comparison of Machine Learning Classifiers to Predict Match Outcomes in the NFL by Beal Ryan, Norman Timothy J., Ramchurn Sarvapali D.

“…Specifically, we implement and test nine techniques using real-world datasets of 1280 games over 5 seasons from the National Football League (NFL). We test the nine different classifier techniques using a total of 42 features for each team and we find that the best performing algorithms are able to improve one previous published works. …”
Get full text

Using machine learning to predict gamma shielding properties: a comparative study by T A Nahool, A M Abdelmonem, M S Ali, A M Yasser

“…This study employed machine learning (ML) algorithms to predict the linear attenuation coefficients (LACs) of materials in inorganic scintillation detectors, which are crucial for evaluating self-shielding properties. …”
Get full text

AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science by Sunil Namdev Thitame, Ashwini Ashok Aher

“…The sorting and analysis of large biological data sets benefit from Original Artificial Intelligence and its subcategories including machine learning and deep learning which previously struggled with data interpretation. This review evaluates the fundamental AI enabled bioinformatics approaches with their deployment for genomic and protein structure prediction and drug discovery algorithms and diagnostic solutions. …”
Get full text

Towards an optimization of catheter guidance in vascular surgery: A comparative analysis of the contribution of reinforcement learning by Cheima Bouden

“…Future research should aim to refine these algorithms for wider clinical use and integration.…”
Get full text

Multivariate Statistical Approach for Anomaly Detection and Lost Data Recovery in Wireless Sensor Networks by Roberto Magán-Carrión, José Camacho, Pedro García-Teodoro

“…Furthermore, we consider three different routing algorithms, showing the strong interplay among (a) the routing strategy, (b) the negative effect of data loss on the network performance, and (c) the data recovering capability of the approach. …”
Get full text

Optimal Control of Epidemic Routing in Delay Tolerant Networks with Selfish Behaviors by Shengze Hu, Weidong Bao, Bin Ge, Daquan Tang

“…To cope with this problem, it first proposes a theoretical framework, which can be used to evaluate the trade-off under different incentive policies. …”
Get full text

The relationship between the CYP2C19*17 genetic polymorphism and the efficacy and safety of diazepam in patients with alcohol withdrawal syndrome by V. Yu. Skryabin, M. S. Zastrozhin, E. A. Grishina, K. A. Ryzhikova, V. V. Shipitsyn, I. V. Barna, T. E. Galaktionova, A. S. Sorokin, E. A. Bryun, D. A. Sychev

“…The scores on the UKU scale, which was used to evaluate the safety of therapy, were also different: (CC) 8,0 [6,0; 12,0], (CT + TT) 6,0 [6,0; 12,0], p = 0,006.Conclusion. …”
Get full text

Role of low-frequency integrase strand transfer inhibitor resistance mutations on virological outcomes in antiretroviral therapy-naïve individuals initiating second-generation inte... by Daniele Armenia, Greta Marchegiani, Daniele Spalletta, Luca Carioti, Alessandro Tavelli, Maria Concetta Bellocchi, Vincenzo Spagnuolo, Valentina Mazzotta, Eugenia Quiros-Roldan, Valeria Bono, Stefania Carrara, Sergio Lo Caputo, Antonella D’Arminio Monforte, Francesca Ceccherini-Silberstein, Stefano Rusconi, Maria Mercedes Santoro

“…Conditional logistic regression was used to evaluate the association between INSTI resistance and risk of VR. …”
Get full text