FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

“…Moreover, we demonstrate that this virtual-client strategy can be integrated into any federated learning framework, including foundational algorithms such as FedAvg and advanced algorithms such as FedDyn and FedProx. …”
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RGB-to-Infrared Translation Using Ensemble Learning Applied to Driving Scenarios by Leonardo Ravaglia, Roberto Longo, Kaili Wang, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper

“…However, the lack of IR data in many datasets and simulation tools limits the development and validation of sensor fusion algorithms that exploit this complementarity. …”
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Quantum secured blockchain framework for enhancing post quantum data security by Nalavala Ramanjaneya Reddy, Supriya Suryadevara, K. Guru Raghavendra Reddy, Ramisetty Umamaheswari, Ramakrishna Guttula, Rajitha Kotoju

“…Popular schemes like RSA, ECDSA, and SHA-256 can be compromised by quantum algorithms (Shor’s and Grover’s), raising questions about the security and trustworthiness of blockchain-based applications in finance, healthcare, and supply chains. …”
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Persistent Gaps and Errors in Reference Databases Impede Ecologically Meaningful Taxonomy Assignments in 18S rRNA Studies: A Case Study of Terrestrial and Marine Nematodes by Alejandro De Santiago, Tiago José Pereira, Timothy John Ferrero, Natalie Barnes, Delphine Lallias, Simon Creer, Holly M. Bik

“…Additionally, the choice of bioinformatics parameters and computational algorithms can further affect the accuracy of eDNA taxonomy assignments. …”
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Calibration and Validation of NOAA-21 Ozone Mapping and Profiler Suite (OMPS) Nadir Mapper Sensor Data Record Data by Banghua Yan, Trevor Beck, Junye Chen, Steven Buckner, Xin Jin, Ding Liang, Sirish Uprety, Jingfeng Huang, Lawrence E. Flynn, Likun Wang, Quanhua Liu, Warren D. Porter

“…The NOAA-21 OMPS SDR calibration derives updates of several previous OMPS algorithms, including the dark current correction algorithm, one-time wavelength registration from ground to on-orbit, daily intra-orbit wavelength shift correction, and stray light correction. …”
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Towards Prosthesis Control: Identification of Locomotion Activities through EEG-Based Measurements by Saqib Zafar, Hafiz Farhan Maqbool, Muhammad Imran Ashraf, Danial Javaid Malik, Zain ul Abdeen, Wahab Ali, Juri Taborri, Stefano Rossi

“…The integration of advanced control systems in prostheses necessitates the accurate identification of human locomotion activities, a task that can significantly benefit from EEG-based measurements combined with machine learning techniques. The main contribution of this study is the development of a novel framework for the recognition and classification of locomotion activities using electroencephalography (EEG) data by comparing the performance of different machine learning algorithms. …”
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Deciphering plant transcriptomes: Leveraging machine learning for deeper insights by Bahman Panahi, Rasmieh Hamid, Hossein Mohammad Zadeh Jalaly

“…Future research should focus on refining ML algorithms, improving the accessibility of these tools for plant scientists, and fostering interdisciplinary collaborations to maximize the potential of ML in plant transcriptomics.…”
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Design of a microservices-based architecture for residential energy efficiency monitoring by Ivonne Nuñez, Carlos Rovetto, Edmanuel Cruz, Andrzej Smolarz, Dimas Concepcion, Elia Esther Cano

“…To address these challenges, this study proposes a distributed architecture based on microservices, with the main objective of improving the performance and stability of these systems. …”
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Methodological Aspects of Predictive Mineragenic Studies Using Earth Remote Sensing Data by Petrov Vladislav, Ustinov Stepan, Minaev Vasilii

“…Of the entire range of areas of fundamental and exploratory scientific research, the main attention within the framework of predictive and mineragenic studies is paid to solving the following problems: 1) allocation of lineaments (fault zones) based on processing of digital elevation models; 2) determination of hydraulically active fault structures for the period of ore formation based on tectonophysical reconstructions; 3) analysis of multispectral characteristics of pre-ore, ore-accompanying and post-ore metasomatites based on statistical processing of Landsat-8 satellite data; 4) assessment of fluid-dynamic settings of deposit formation based on data on the composition, properties and genesis of mineral-forming fluids. 5) creation of weight of evidence models based on statistical algorithms for processing data on the dynamics of ore-genetic processes. …”
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Comparison of Initialization Techniques for the Accurate Extraction of Muscle Synergies from Myoelectric Signals via Nonnegative Matrix Factorization by Mumtaz Hussain Soomro, Silvia Conforto, Gaetano Giunta, Simone Ranaldi, Cristiano De Marchis

“…The main goal of this work was to assess the performance of different initializations of matrix factorization algorithms for an accurate identification of muscle synergies. …”
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A data mining technique for detecting malignant mesothelioma cancer using multiple regression analysis by Alali Abdulla Mousa Falah, Padmaja Dhyaram Lakshmi, Soni Mukesh, Khan Muhammad Attique, Khan Faheem, Ofori Isaac

“…Lung cancer is a substantial health issue globally, and it is one of the main causes of mortality. Malignant mesothelioma (MM) is a common kind of lung cancer. …”
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Digital Transition as a Driver for Sustainable Tailor-Made Farm Management: An Up-to-Date Overview on Precision Livestock Farming by Caterina Losacco, Gianluca Pugliese, Lucrezia Forte, Vincenzo Tufarelli, Aristide Maggiolino, Pasquale De Palo

“…The increasing integration of sensing devices with smart technologies, deep learning algorithms, and robotics is profoundly transforming the agricultural sector in the context of Farming 4.0. …”
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Using the Nutri-Score to visualise food reformulation in Germany: the case of breakfast cereals by Corinna Gréa, Anna Dittmann, David Wolff, Hanna Haidar, Silvia Roser, Benedikt Merz, Stefan Storcksdieck genannt Bonsmann

“…Conclusion Improvements in nutrient content and FNS of breakfast cereals in Germany were mainly driven by shifts in the product portfolio, not by reformulation of existing products. …”
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On the academic ideology of “Sorting the gangue is sorting the images” by Hongwei MA, Ye ZHANG, Peng WANG, Xiangang CAO, Zhen NIE, Xiaorong WEI, Wenjian ZHOU, Mingzhen ZHANG

“…The basic connotation of the academic ideology of “Sorting gangue is sorting images” has been elucidated, mainly including image-based coal gangue recognition, image-based coal gangue sorting feature extraction, image-driven sorting machine dynamic target tracking, and multi-task multi-sorting machine collaboration based on image sequences. …”
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The use of heart rate variability, oxygen saturation, and anthropometric data with machine learning to predict the presence and severity of obstructive sleep apnea by Rafael Rodrigues dos Santos, Matheo Bellini Marumo, Alan Luiz Eckeli, Helio Cesar Salgado, Luiz Eduardo Virgílio Silva, Renato Tinós, Rubens Fazan

“…Heart rate variability (HRV) is a simple and non-invasive approach used as a probe to evaluate cardiac autonomic modulation, with a variety of newly developed indices lacking studies with OSA patients.ObjectivesWe aimed to evaluate numerous HRV indices, derived from linear but mainly nonlinear indices, combined or not with oxygen saturation indices, for detecting the presence and severity of OSA using machine learning models.MethodsECG waveforms were collected from 291 PSG recordings to calculate 34 HRV indices. …”
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The Influence of Viewing Geometry on Hyperspectral-Based Soil Property Retrieval by Yucheng Gao, Lixia Ma, Zhongqi Zhang, Xianzhang Pan, Ziran Yuan, Changkun Wang, Dongsheng Yu

“…The influence of viewing geometry on the selection of spectral preprocessing methods, retrieval algorithms, sensitive wavelengths, and retrieval accuracy was systematically analyzed. …”
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Optimal design of the cable metro with unified intermediate supports by Lagerev A.V., Lagerev I.A.

“…Unification of intermediate supports according to the height and their step practically does not affect the optimal value for horizontal tension on the load-bearing ropes. It determined mainly by the angle of the longitudinal slope of the surface relief. …”
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Framework Construction and Dynamic Characteristics of Spring Low-Temperature Disasters Affecting Winter Wheat in the Huang-Huai-Hai Region, China by Meixuan Li, Zhiguo Huo, Qianchuan Mi, Lei Zhang, Yi Wang, Rui Kong, Mengyuan Jiang, Fengyin Zhang

“…Through the analysis of the characteristics of the disaster process, spring LTDs affecting winter wheat are mainly mild, with frost identified as the primary category of LTD. …”
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Estimation of mangrove heights and aboveground biomass using UAV-LiDAR, Sentinel-1 and ZY-3 stereo images by Bolin Fu, Yingying Wei, Linhang Jiang, Hang Yao, Xiaomin Li, Yanli Yang, Mingming Jia, Weiwei Sun

“…In this study, we constructed mangrove height inversion models using multiple types of remote sensing data and machine learning algorithms (partial least squares regression (PLSR), random forest (RF), and mixture density network (MDN)). …”
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Modeling cultural ecosystem services (Case study: Recreational Ecosystem Services in Behbahan county) by Fatemeh Mohammadyari, Hamid Reza Pourkhabbaz, Shabnam Gholami Chaleshtari

“…The image was prepared with the maximum Likelihood algorithm in 12 class. Outdoor recreation was also modeled by the Recreational Opportunity Spectrum (ROS) method. …”
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