Stock Price Prediction in the Financial Market Using Machine Learning Models by Diogo M. Teixeira, Ramiro S. Barbosa

“…The complexity of advanced models such as XGBoost and GRU is reflected in their overall performance, suggesting that they can be particularly effective at capturing patterns and making accurate predictions in more complex time series, such as stock prices.…”
Get full text

YOLOv-MA: A High-Precision Foreign Object Detection Algorithm for Rice by Jiahui Wang, Mengdie Jiang, Tauseef Abbas, Hao Chen, Yuying Jiang

“…The overall <i>mAP</i>@[0.5:0:95] reaches 90.8%, reflecting an improvement of 3.3%. Furthermore, the proposed model outperforms SSD, FCOS, EfficientDet, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv11, and YOLOv12 in overall performance. …”
Get full text

Prior-Driven Enhancements in 3D Gaussian Splatting: Normals and Depths Regularization by G. Lee, S. Hong, J. Suh

“…3D Gaussian Splatting (3DGS) is a state-of-the-art technique for 3D scene rendering, offering high efficiency and excellent visual quality. However, because 3DGS relies on an initial sparse point set from Structure-from-Motion (SfM) and view-dependent properties, it can suffer from geometric inaccuracies and visual artifacts, particularly in complex scenes. …”
Get full text

Le fonds Jean Lattes : une archive photographique en construction by Angelina Meslem, Wilfrid Eon, Clémentine Vialar

“…The donation in 2011, by his widow Janine Lattes, of more than 180,000 photos taken by the photojournalist Jean Lattes (1917 - 1996) to the archive service of the Yvelines department forced its archivists to reflect on their practice. In addition to immediate preservation concerns such as the physical state of the documents, reconditioning and digitising, other questions relating to the intellectual treatment of this complex photographic collection have also arisen. …”
Get full text

PECULIARITIES OF SPLITTING THE POLE OF COGNITIVE STYLES IN YOUNGER AGE by S. Dyupina

“…Mobile and fixed self-contained ones the greatest efficiency in terms of the time of finding a simple figure in a complex one are showed.…”
Get full text

A Novel Hypersonic Target Trajectory Estimation Method Based on Long Short-Term Memory and a Multi-Head Attention Mechanism by Yue Xu, Quan Pan, Zengfu Wang, Baoquan Hu

“…The experimental results show that the method performs well in complex dynamic environments with improved prediction accuracy and robustness, reflecting the potential of information theory principles in optimizing the trajectory prediction model.…”
Get full text

Unit commitment with bidirectional ramping constraints of flexibility retrofit thermal power unit by Jingxiao Jiang, Yanran Zhu, Ying Wang, Xiaorui Guo, Jianhu Lv, Jianxiang Qin, Xingyun Yan, Kaifeng Zhang

Get full text

Relation of Muscles Coordination to the Major Degrees of Freedom in Three Upper Limb Motions by Morteza Farrokhnia, Seyyed Arash Haghpanah, Esmaeal Ghavanloo, Mohammad Taghi Karimi

“…This model incorporates identified synergy modules and key joint DOF for the three basic motions, reflecting the underlying principles of motor control for efficient movement execution.…”
Get full text

Cross-language priming effects in bilingual novel metaphor processing by Katarzyna Jankowiak, Anna B. Cieślicka

“…These findings highlight the role of linguistic context in semantic processing, showing that within-language priming enhances efficiency, whereas between-language priming is less effective, particularly for complex novel metaphorical meanings.…”
Get full text

STUDIES REGARDING THE PRODUCTION CAPACITY OF SOILS OUTSIDE THE BUILT-IN AREA OF THE POJEJENA COMMUNE, CARAȘ-SEVERIN COUNTY. CASE STUDY by Casiana MIHUȚ, Anișoara DUMA-COPCEA, Lucian NIȚĂ, Simona NIȚĂ

“…The paper presents the fertility of the agricultural land in the studied area, the necessary costs for wheat and corn cropping per hectare, in relation to these soils’ production capacity, reflected by the obtained productions and the farm’s economic efficiency. …”
Get full text

Dense Neural Network Classification Model for Software Defined Network for Fine Grained Traffic Routing and Flow Analysis by Dr. Khaliq Ahmed, Maheen Danish, Asif Raza

“…The DDNN model handles diverse types of traffic with a lot of efficiency through extracting deep features from complex datasets, hence increasing the capability of SDN to meet the ever-evolving demands in networks. …”
Get full text

A graph convolutional network approach for hyperspectral image analysis of blueberries physiological traits under drought stress by Md. Hasibur Rahman, Savannah Busby, Sajid Hanif, Md Mesbahul Maruf, Faraz Ahmad, Sushan Ru, Alvaro Sanz-Saez, Jingyi Zheng, Tanzeel U. Rehman

“…The high-throughput phenotyping system enabled efficient large-scale data collection, while the Plant-GCN model captured long-range spectral relationships significantly improved the prediction of physiological traits. …”
Get full text

Multidisciplinary Collaborative Reliability Analysis of the Gear Reducer based on Inverse Reliability Strategy by Wang Liangliang, Peng Jinshuan, Shao Yiming

“…Examples of speed reducer prove the efficiency and precision of the proposed method.What is more,this advantage in the design of large- scale complex engineering systems will be better reflected.…”
Get full text

The necessity of the Black Sea region transport structure improvement by L.V. Nazarova

“…The second direction occurs when the LSPD has been already developed, so, its main purpose becomes the permanent monitoring of its state and providing necessary adjustments. The complex of qualitative and quantitative parameters, that reflect the efficiency of supply chains are also developed by the author. …”
Get full text

Problems of Arctic Hydrocarbon Development in The Context of Modern Global Challenges: Development Potential and Industry Strategies by A. G. Kazanin

“…Industry strategies for the development of the Arctic oil and gas complex detail a specific set of measures that fully reflect the technological and economic capabilities of domestic companies, it is especially important to assess the achievability of strategic goals in terms of the development of offshore resources. …”
Get full text

A Review of Reliability Assessment and Lifetime Prediction Methods for Electrical Machine Insulation Under Thermal Aging by Jian Zhang, Jiajin Wang, Hongbo Li, Qin Zhang, Xiangning He, Cui Meng, Xiaoyan Huang, Youtong Fang, Jianwei Wu

“…These insights aim to provide a scientific basis for insulation reliability studies and lay the groundwork for developing efficient lifetime prediction tools.…”
Get full text

A lightweight and optimized deep learning model for detecting banana bunches and stalks in autonomous harvesting vehicles by Duc Tai Nguyen, Phuoc Bao Long Do, Doan Dang Khoa Nguyen, Wei-Chih Lin

“…Specifically, the standard convolution layers are upgraded with a lightweight group-shuffle convolution module, reducing complexity while preserving efficiency. Additionally, a novel C2f-fast efficient channel attention module is proposed in the backbone, significantly enhancing the model's feature extraction capabilities. …”
Get full text

Beam phase measuring deflectometry featuring physics-compliant object-image mapping by Yunuo Chen, Xiangchao Zhang, Wei Lang, Ting Chen, Xingman Niu, Xiangqian Jiang

“…Phase measuring deflectometry has been proven as a competitive technique for measuring complex optical surfaces. However, the commonly used imaging model simply treats the light beam associated with each camera pixel as a single ray, which in turn leads to significant measurement errors for complex surfaces with high curvedness, low reflectivity, or nonideal specularity. …”
Get full text

GPU-accelerated simulated annealing based on p-bits with real-world device-variability modeling by Naoya Onizawa, Takahiro Hanyu

“…Abstract Probabilistic computing using probabilistic bits (p-bits) presents an efficient alternative to traditional CMOS logic for complex problem-solving, including simulated annealing and machine learning. …”
Get full text

THE CONTRIBUTION OF AGRICULTURE COMPARED WITH OTHER ECONOMIC SECTORS TO THE FORMATION OF ROMANIA'S GROSS DOMESTIC PRODUCT by Camelia MĂNESCU, Nicoleta MATEOC-SÎRB, Oana SICOE-MURG, Ana-Mariana DINCU, Diana MARIN

“…At the end of the paper, the authors emphasize the fact that the GDP is the most complex indicator that reflects the transformations that the Romanian economy has gone through in recent years. …”
Get full text