LiDGS: An efficient 3D reconstruction framework integrating lidar point clouds and multi-view images for enhanced geometric fidelity by Li Yan, Jiang Song, Hong Xie, Pengcheng Wei, Gang Li, Longze Zhu, Zhongli Fan, Shucheng Gong

“…Multi-view reconstruction of real-world scenes has been an important and challenging task. Although methods based on Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS) have made significant progress in rendering quality, there are still some limitations regarding the fidelity of geometric structures. …”
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Digital Technologies in the Financial sector: Evolution and Major Development Trends in Russia and Abroad by D. A. Artemenko, S. V. Zenchenko

“…The research is based on the analysis of data provided by international consulting companies, analytical centers, and official data sources of the Central Bank (Bank of Russia). The authors apply methods such as comparative research, empirical, logical, graphical, analysis, interpretation, and comparison. …”
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Outdoor location scheme with fingerprinting based on machine learning of mobile cellular network by Zhichao ZHOU, Yi FENG, Xiaohan XIA, Yuyao FENG, Chao CAI, Jiahui QIU, Lihui YANG, Yunxiao WU

“…The positioning scheme based on mobile cellular network technology is one of the important technical approaches to provide network optimization, emergency rescue, police patrol and location services.The traditional positioning scheme based on cell base station location information has low positioning accuracy and large positioning error, so it cannot meet the requirements of some positioning applications.The scheme based on fingerprint location can greatly improve the location accuracy, save computational cost and enhance the usability based on the coarse location scheme of the cell and become the hotspot of the research.Rasterization and non-rasterization of outdoor fingerprint location scheme based on machine learning were studied and analyzed to meet the business requirements of outdoor fingerprint location.By means of parameter weighting, data fitting and other methods, large-scale fingerprint data were cleaned to improve the effectiveness of data sources.Through the realization of sub-modules such as demarcating research area, rasterizing, constructing fingerprint database, training model, correcting model, non-rasterizing, rough positioning coupling, matching parameter and training parameter, the operation efficiency and positioning accuracy of the algorithm were analyzed and optimized, and the key indexes affecting the algorithm performance were determined.Then, the performance of two fingerprint-based localization schemewas analyzed based on the simulation results.Finally, the typical scenarios of the fingerprint location scheme based on machine learning in practical application were presented.…”
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From Simulation to Implementation: A Systems Model for Electric Bus Fleet Deployment in Metropolitan Areas by Ludger Heide, Shuyao Guo, Dietmar Göhlich

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Power management in isolated microgrids using machine learning-based robust model predictive control by Chou-Yi Hsu, Amit Ved, Hannah Jessie Rani R, Zayd Ajsan Balsem, Nora Rashid Najem, Abhayveer Singh, P․Sasi Kiran, Ankita Aggarwal, Satish Kumar Samal, Alireza Kamranfar

“…The simulation results of the proposed method have been compared with type-1 fuzzy MPC and conventional droop controller, demonstrating that the proposed controller has better and faster performance than other methods.…”
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Optimising sample preparation to enhance contrast-to-noise ratio in X-ray phase contrast tomography white matter (WM) imaging of the central nervous system by Michela Fratini, Michela Fratini, Lorenzo Massimi, Francesco Brun, Darren Batey, Inna Bukreeva, Alberto Mittone, Alberto Bravin, Elena Longo, Giuliana Tromba, Federico Giove, Federico Giove, Silvia Cipiccia, Alejandra Sierra

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Domain generalization for image classification based on simplified self ensemble learning. by Zhenkai Qin, Xinlu Guo, Jun Li, Yue Chen

“…Domain generalization seeks to acquire knowledge from limited source data and apply it to an unknown target domain. …”
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Urban Land-use Features Mapping from LiDAR and Remote Sensing Images using Visual Transformer Network Model by Q. Yuan

“…Traditional urban feature mapping methods often rely on a single data source, such as optical remote sensing images or LiDAR, which often encounter many challenges in complex urban environments, such as shading, occlusion, and land cover changes. …”
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Bioactive compounds from tropical fruit by-products: Extraction, characterization and therapeutic potential by Niza Otero-Guzman, Ricardo Andrade-Pizarro

“…These trends underscore the strategic relevance of tropical fruit by-products as a sustainable source of functional compounds. The integration of clean technologies, optimization and scale-up strategies, and advanced analytical methods supports their valorization and promotes the development of high value-added nutraceuticals aligned with circular economy principles and public health objectives.…”
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Cross-cutting technologies in training physical culture and sports for students by Yu. I. Zhuravleva, M. V. Katrenko, V. V. Barannikov, A. N. Prodius

“…To study and analyze the possibilities of end-to-end technologies in the field of physical culture and sports in training university students as a means of organizing and control-ling sports activities. Materials and methods. Insufficient representation of the research topic in the scientific community required an analysis of literary sources,  systematization  of  end-to-end  technologies  and  generalization  of  the  results. …”
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Mannitol Production from Fructose by Using Resting Cells of Methylotrophic Yeasts by Nisa Yulianti Suprahman, Khairul Basyar, Herman Suryadi

“…Objectives: This research aimed to optimize bioconversion condition by using resting cells of methylotrophic yeasts with methanol and fructose as carbon source and substrate, respectively. …”
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Fourier–Bessel Series Expansion and Empirical Wavelet Transform-Based Technique for Discriminating Between PV Array and Line Faults to Enhance Resiliency of Protection in DC Microg... by Laxman Solankee, Avinash Rai, Mukesh Kirar

“…In order to enhance the efficacy of the bagging tree-based ensemble classifier, Artificial Gorilla Troop Optimization (AGTO) has been used to tune the hyperparameters. …”
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Advancing lakes algal chlorophyll estimation in the contiguous USA: A comparative study of machine learning models and satellite data by Md Mamun, Xiao Yang

“…Accurate measurement of chlorophyll-a (CHL-a) in lakes at a macroscale is challenging due to the optical complexity of individual water bodies, which hinders the optimization of conventional bio-optical algorithms. …”
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Analysis of the Influence of Patch Antenna Shapes for Wireless Passive Temperature Sensor Applications by Trisa Azahra, Ying-Ting Liao, Yi-Chien Chen, Cheng-Chien Kuo

“…A key advantage of these sensors is their ability to operate without a local power source. This study employs the antenna backscattering method, which relies on the wireless interaction between the interrogator antenna and the sensor antenna’s resonant frequency, implemented in the far-field region to support long communication distances. …”
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Capacity Evolution of Flexible Units Based on a Dual-Timescale Dynamic Model under Dual Carbon Goals by LI Kecun, HUANG Zhenyu, YOU Xingxing, QIU Gao, LIU Youbo, LIU Junyong

“…In the context of “carbon peaking” and “carbon neutrality，” the generation method for power systems is gradually transitioning from traditional generation to renewable energy source generation， posing challenges to the stability of the power supply in the grid. …”
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Design of an integral sliding mode controller for reducing CO2 emissions in the transport sector to control global warming by Abid Mehmood, Mohsan Hassan, Pita Donald, Mohammed M. A. Almazah

“…Abstract Carbon dioxide (CO2) is the significant contributor to greenhouse gases and plays a crucial role in the greenhouse effect and climate change. The primary source of CO2 emissions is fossil fuel combustion, basically due to human activities and transportation activities. …”
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Finding Random Integer Ideal Flow Network Signature Algorithms by Kardi Teknomo, Erna Budhiarti Nababan, Indriati Njoto Bisono, Resmana Lim

“…This framework lays the foundation for future advancements in predictive modeling and network optimization. To ensure reproducibility, we provide an open-source Python implementation on GitHub. …”
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An integrated ecosystem monitoring technology for coal mining subsidence areas and its application in the Shendong mining area by Yang CHENG, Wei LIU, Na ZHANG, Guanjie LI, Kai LIU, Chengye ZHANG, Jun LI

“…The Shendong ecosystem monitoring platform, integrating models including the efficient organization and management model of multi-source data and the intelligent decision-making model, enables the management and spatiotemporal collaborative processing of multi-source heterogeneous big data, as well as the intelligent decision-making for ecological restoration based on the big data from multi-source monitoring, facilitating the ecological restoration engineering and routine plant care in the Shendong coal mining subsidence area. …”
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Status and opportunities of machine learning applications in obstructive sleep apnea: A narrative review by Matheus Lima Diniz Araujo, Trevor Winger, Samer Ghosn, Carl Saab, Jaideep Srivastava, Louis Kazaglis, Piyush Mathur, Reena Mehra

“…Machine learning models have been increasingly applied in various aspects of OSA research, including diagnosis, treatment optimization, and developing biomarkers for endotypes and disease mechanisms. …”
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Integrated Technologies for Smart Building Energy Systems Refurbishment: A Case Study in Italy by Lorenzo Villani, Martina Casciola, Davide Astiaso Garcia

“…This model enabled energy simulations using the Carrier–Pizzetti method and supported the design of a hybrid HVAC system—integrating VRF and hydronic circuits—further enhanced by a custom ML algorithm for adaptive, predictive energy management through BIM and IoT data fusion. …”
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