P4CN-YOLOv5s: a passion fruit pests detection method based on lightweight-improved YOLOv5s by Zhiping Tan, Zhiping Tan, Dapeng Ye, Jiancong Wang, Wenxiang Wang

“…The experimental data analysis reveals that the proposed P4CN-YOLOv5s model achieves superior performance, with an accuracy of 96.99%, an F1-score of 93.99%, and a mean detection time of 7.2 milliseconds. …”
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An analysis of the dynamics of petroleum prices and inflation in Malawi by Fredrick Mangwaya Banda, Andrew Munthopa Lipunga

“…It employs the autoregressive distributed lag (ARDL) model using time series data on inflation and prices of petroleum products collected from the Reserve Bank of Malawi (RBM) and Malawi Energy Regulatory Authority (MERA). …”
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Leveraging Federated Satellite Systems for Unmanned Medical Evacuation on the Battlefield by Kasper Halme, Oskari Kirjamäki, Samuli Pietarinen, Mikko Majanen, Kai Virtanen, Marko Höyhtyä

“…An FSS integrates multiple satellite systems, thus improving imaging and communication capabilities compared with standalone satellite systems. A simulation model is developed for a MEDEVAC mission where the FSS control of an unmanned aerial vehicle is distributed across different countries. …”
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Multi-Time-Scale Coordinated Optimal Dispatch of a Virtual Power Plant Under Unreliable Communication by Bo Hu, Huajian Wang, Tao Niu, Changzheng Shao, Chunyan Li

“…Development of wireless technologies provides a promising communication scheme with low operating cost and high speed. However, fragile communication channels bring negative impacts on the reliability of bidirectional communication. …”
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Diabetes: Non-Invasive Blood Glucose Monitoring Using Federated Learning with Biosensor Signals by Narmatha Chellamani, Saleh Ali Albelwi, Manimurugan Shanmuganathan, Palanisamy Amirthalingam, Anand Paul

“…To address these challenges, this study proposes a federated learning (FL)-based solution that enables multiple healthcare organizations to collaboratively train a global model without sharing raw patient data, thereby enhancing model performance while ensuring data privacy and security. …”
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Study on the impact of engineering construction on environmental risk assessment in alpine canyon area: a case study of Chaya County, Xizang by Zheng Fei, Xin Zhang, Guichuan Liu, Huihong Xu, Yu Chen, Baoxian Liu, Mika Sillanpää, Wenwu Zhong, Tao Li, Xin Yang

“…The results show that small geological disasters are mainly distributed in the study area, accounting for 67.95%; the vulnerability zoning of geological disasters in the study area is mainly low vulnerability area and low vulnerability area. …”
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GEOSPATIAL ASSESSMENT OF POTENTIAL GROUNDWATER ZONES WITHIN IGEDE EKITI, EKITI STATE, NIGERIA. by oluwagbotemi oluwakayode odesola, SIMEON O. OGUNLADE

“…The results indicate that high PGWZ was more prevalent than the other classes, as the classes were distributed into very high, high and low PGWZ. The very high PGWZ covered 7%, the high PGWZ 55% and the Low PGWZ, 39%. …”
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Federated learning-based hybrid convolutional recurrent neural network for multi-class intrusion detection in IoT networks by Prabu Selvam, P. Karthikeyan, S. Manochitra, A. V. L. N. Sujith, T. Ganesan, Rajaram Ayyasamy, Mohammed Shuaib, Shadab Alam, A. Rajendran

“…For multi-class intrusion detection in IoT networks, this study proposed an novel hybrid convolutional recurrent neural network (CRNN) model based on federated learning. By integrating federated learning, the proposed approach ensures privacy by enabling decentralized model training among IoT devices without exchanging sensitive data. …”
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On the Brink: Mapping the Last Strongholds of the Critically Endangered Flapper Skate (Dipturus intermedius) by Sophie L. Loca, Patrick C. Collins, Amy Garbett, Ryan McGeady, James Thorburn, Chris McGonigle

“…Existing models of the flapper skate's distribution are not detailed enough to inform management. …”
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On the modification of bit-flipping decoder of LDPC-codes by S. S. Gurskiy, N. S. Mogilevskaya

“…In the model, the initial data is encoded with a given LDPC-code, then it is made noisy by additive uniformly distributed errors, and thereafter, it is decoded in turn by the bit-flipping algorithm with different threshold T parameters, as well as by a modified decoder. …”
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Prediction of old goaf residual subsidence integrating EDS-InSAR with EsLSTM in the Loess Plateau, China by Fei Ma, Fei Ma, Qingbin Zhang, Lichun Sui

“…Using Sentinel-1A imagery, continuous SAR data from 98 periods were acquired and processed via Enhanced Distributed Scatter InSAR technology. …”
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Adaptive information-constrained mapping for feature compression in edge AI and federated systems by Viacheslav Kovtun

“…The practical effectiveness of the approach has been confirmed through experiments on the HAR and PAMAP2 datasets: a 6–eightfold reduction in entropy load was achieved while maintaining classification accuracy above 94% and a high level of semantic fidelity in the reconstructed data. The models were deployed on low-power devices (Jetson Nano, Raspberry Pi 4), where they demonstrated robustness to noise and loss, as well as superiority over current SOTA solutions (FedEntropy, EDS-FL, SER) in terms of compression efficiency, adaptability to heterogeneous distributions, and stability under unstable transmission conditions.…”
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Limited Impact of Subglacial Supercooling Freeze‐on for Greenland Ice Sheet Stratigraphy by Christine F. Dow, Nanna B. Karlsson, Mauro A. Werder

“…We use a subglacial hydrology model to calculate both freezing and melting rates at the base of the ice sheet in a distributed sheet and within basal channels. …”
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Exploring the impact of three meteorological factors and their specific effect sizes on chronic obstructive pulmonary disease admission in Qingyang, China by Deshun Li, Jiyuan Dong, Xiaoju Liu, Jiayan Ge, Juan Shu, Lisha Zhu, Hairong Bao

“…Based on daily COPD hospital admissions and meteorological data in Qingyang City, China, from 2015 to 2019, a generalized additive model (GAM) combined with a distributed lag non-linear model (DLNM) was used to examine the effects of three meteorological factors on COPD hospital admissions. …”
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ECONOMIC GROWTH, INEQUALITY AND POVERTY: POLICY ISSUES AND CHALLENGES by Tengiz Verulava

“…The Bourguignon Triangle model shows that poverty reduction is possible only when economic growth is distributed evenly across the population. …”
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Voxel-Wise Brain Graphs From Diffusion MRI: Intrinsic Eigenspace Dimensionality and Application to Functional MRI by Hamid Behjat, Anjali Tarun, David Abramian, Martin Larsson, Dimitri Van De Ville

“…By projecting task and resting-state data on low-frequency graph Laplacian eigenmodes, we show that brain activity can be well approximated by a small subset of low-frequency components. …”
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A geophysical investigation of the fairy circles in Nebraska for geologic hydrogen exploration by Mengli Zhang, Noah Perkovich, Yaoguo Li, Jessica Weihermann, R. Nate Crummett

“…We integrate digital elevation model (DEM), airborne gamma-ray spectrometry (AGRS) data, and ground electrical resistivity data to understand the connection between the surficial expressions and the underlying geology of the fairy circles. …”
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Quantization-based chained privacy-preserving federated learning by Ya Liu, Shumin Wu, Yibo Li, Fengyu Zhao, Yanli Ren

“…Abstract Federated Learning (FL) is an advanced distributed machine learning framework crucial in protecting data privacy and security. …”
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An Effective One-shot Body Part Multi-View Reconstruction Device with Self-calibration Capabilities by M. Bonotto, M. Bonotto, D. Evangelista, M. Imperoli, A. Pretto

“…The scanned mesh will be used as a backbone model for the cast design and 3D printing. The system is based on the multi-view active stereo principle and it is composed of a circular array of 16 synchronized cameras (Fig. 1) and 4 equally distributed IR pseudo-random laser pattern projectors. …”
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PENGEMBANGAN LKPD BERBASIS LIVEWORKSHEET BERORIENTASI SOAL AKM UNTUK MENGOPTIMALKAN KEMAMPUAN PEMECAHAN MASALAH MATEMATIS SISWA SEKOLAH DASAR by Yesi Ulfah Fauziah, Nani Ratnaningsih, Puji Lestari

“…To increase problem solving abilities, the N-Gain was obtained at 0.26889 with "low" criteria. The normality test results obtained Sig.0.001 so that the data was not normally distributed, then a non-parameteric test was carried out with the Wilcoxon test and obtained Sig. (2 tailed) 0.000, so there is a significant increase in mathematical problem solving abilities…”
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