Feature Fusion to Improve YOLOv8 for Segmenting and Classifying Aerial Images of Tree Crowns by Ziyi Sun, Bing Xue, Mengjie Zhang, Jan Schindler

“…Experimental results on the tree crown dataset demonstrate that YOLOv8-FF outperforms several recent peer competitors, making it a promising tool for accurate and efficient tree crown instance segmentation.…”
Get full text

A composite photovoltaic power prediction optimization model based on nonlinear meteorological factors analysis and hybrid deep learning framework by Mengji Yang, Haiqing Zhang, Xi Yu, Aicha Sekhari Seklouli, Abdelaziz Bouras, Yacine Ouzrout

“…This framework enhances the ability to capture long-term dependencies through the combined effects of efficient convolution parameter optimization and variable-oriented multivariate modeling. …”
Get full text

OceanLSTM: xLSTM with spatial attention for salt spray formation and migration prediction in marine hot-humid environments by Chuan Chen, Ganxin Jie, Jun Wang, Shouhe Wang, Xiaonong Xu

“…The experimental results demonstrate that OceanLSTM significantly outperforms traditional models in evaluation metrics such as accuracy and F1-score, especially on datasets with strong spatiotemporal dependencies.DiscussionThis research provides a more precise and efficient tool for future marine environment monitoring and corrosion prediction, offering important practical applications.…”
Get full text

USE OF GEOINFORMATION TECHNOLOGIES IN DISTANCE LEARNING OF FUTURE SPECIALISTS IN GEOGRAPHY by Vasyl V. Leta, Mykola M. Karabiniuk, Mykhailo M. Mykyta, Mykhailo M. Kachailo

“…The absolute advantages of this studying format for teachers are the ability to freely choose the necessary materials, academic mobility and a fundamentally new educational space. …”
Get full text

Machine learning with hyperparameter optimization applied in facies-supported permeability modeling in carbonate oil reservoirs by Watheq J. Al-Mudhafar, Alqassim A. Hasan, Mohammed A. Abbas, David A. Wood

“…Therefore, accurate permeability prediction is a vital step in developing an efficient field development plan, as it plays a pivotal role in the accurate distribution of 3D petrophysical properties throughout a reservoir. …”
Get full text

Implementation of a Second-Order TVD Transport Algorithm in the General Ocean Model (GOM) by Jungwoo Lee, Jun Lee, Sang-Leen Yun, Seog-Ku Kim

“…To achieve both high accuracy and computational efficiency, we adopted a second-order semi-implicit Total Variation Diminishing (TVD) scheme. …”
Get full text

Structure and classification of e-business models by V.О., S.V.

“…The article argues the need to use business models to ensure the sustainable and efficient functioning of modern enterprises. The business model is defined as a simplified representation of the mechanism for carrying out activities. …”
Get full text

Abandoned Object Detection and Classification Using Deep Embedded Vision by Arbab Muhammad Qasim, Naveed Abbas, Amjid Ali, Bandar Ali Al-Rami Al-Ghamdi

“…The evolution of more robust and efficient automated technological solutions for video surveillance is imperative. …”
Get full text

ANALISIS PENGARUH RASIO KEUANGAN TERHADAP RETURN ON ASSET BANK PERKREDITAN RAKYAT PADA PT. BPR POLIN JAYA by Dedi Mulyadi, Alexander Din

“…The more efficient or small bank operating costs, the profit gained greater 5. …”
Get full text

Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Traffic flow prediction plays a crucial role in Intelligent Transportation Systems (ITS), as it substantially enhances traffic management efficiency, alleviates congestion, and improves road safety. …”
Get full text

Nanozymatic activity of Zr-based MOFs: Tuning the coordinatively unsaturated metal sites for enhancing hydrolytic activity toward peptide bonds by XU Keyu, XIA Liwei, XING Keyu, CHENG Yunhui, XU Zhou

“…<b>Objective:</b> To develop efficient and stable artificial proteases and investigate the relationship between coordinatively unsaturated metal sites and hydrolysis activity of peptide bond. …”
Get full text

Refreshable memristor via dynamic allocation of ferro-ionic phase for neural reuse by Jiangang Chen, Zhixing Wen, Fan Yang, Renji Bian, Qirui Zhang, Er Pan, Yuelei Zeng, Xiao Luo, Qing Liu, Liang-Jian Deng, Fucai Liu

“…By implementing neural reuse, the classification accuracy of neuromorphic hardware can improve by 17%, while the consumption is reduced by 40%; in multi-task scenarios, its training speed is accelerated by 2200%, while its generalization ability is enhanced by 21%. Our results are promising towards building refreshable hardware platforms based on ferroelectric-ionic combination capable of accommodating more efficient algorithms and architectures.…”
Get full text

White light-excited organic room-temperature phosphorescence for improved in vivo bioimaging by Lutong Zhang, Jisen Li, Yifan Zhang, Wenbo Dai, Yufan Zhang, Xue Gao, Miaochang Liu, Huayue Wu, Xiaobo Huang, Yunxiang Lei, Dan Ding

“…White-light excitable phosphorescent guests enable doped materials to show efficient afterglow under white-light excitation. By leveraging the ability of white-light to penetrate biological tissues, a bioimaging mode in which the materials are first concentrated within the organism and then excited was developed, yielding superior imaging effects compared with the traditional method in which materials are first excited and then concentrated. …”
Get full text

Ultrafast Time-Stretch Optical Coherence Tomography Using Reservoir Computing for Fourier-Free Signal Processing by Weiqing Liao, Tianxiang Luan, Yuanli Yue, Chao Wang

“…Swept-source optical coherence tomography (SS-OCT) is a widely used imaging technique, particularly in medical diagnostics, due to its ability to provide high-resolution cross-sectional images. …”
Get full text

Impact of axial electric and inclined magnetic fields on tri-hybrid nanofluid through an electroosmotic flexible pump for biomedical microfluidic devices by Syed Modassir Hussain, Umair Khan, Adebowale Martins Obalalu

“…The advancement of microfluidic technology has opened new frontiers in biomedical applications, necessitating efficient fluid transport mechanisms at microscale dimensions. …”
Get full text

Deep Learning-Based Real Time Human Detection System Using LiDAR Data for Smart Healthcare Monitoring by Kalashtari Niloofar, Huhs Niklas, Kraitl Jens, Hornberger Christoph, Simanski Olaf

“…LiDAR was selected as a reference method because of its precision and ability to capture detailed depth information, which are crucial for accurate monitoring. …”
Get full text

Development and Validation of a Machine Learning Model for Early Prediction of Sepsis Onset in Hospital Inpatients from All Departments by Pierre-Elliott Thiboud, Quentin François, Cécile Faure, Gilles Chaufferin, Barthélémy Arribe, Nicolas Ettahar

“…Finally, the performance of the model and its ability to detect early sepsis onset were evaluated and compared with existing sepsis scoring systems. …”
Get full text

Arrears behavior prediction of power users based on BP neural network and multi-scale feature learning: a refined risk assessment framework by Liang Yu, Yuanshen Hong, Hua Lin, Xu Jiang, Ziming Song

“…The study concludes that the effective fusion of multi-scale features not only enhances the model’s prediction performance but also strengthens its generalization ability. This method provides an advanced risk management tool for power companies, helping to increase the operational efficiency of smart grids and encouraging further research toward greater intelligence in the field.…”
Get full text

The Essence and Content of Product Distribution as an Economic Category by Viktoriia Bozhkova, Mykhailo Bilukha

“…The volatile and turbulent environment requires the ability to timely identify, analyze and counteract challenges in the field of product distribution, which is the key to sustainability, competitiveness and successful development of business entities. …”
Get full text

A robust deep learning framework for multiclass skin cancer classification by Burhanettin Ozdemir, Ishak Pacal

“…The inclusion of ConvNeXtV2 blocks in the initial two stages is driven by their ability to effectively capture fine-grained local features and subtle patterns, which are critical for distinguishing between visually similar lesion types. …”
Get full text