A hybrid approach to Bangla handwritten OCR: combining YOLO and an advanced CNN by Aye T. Maung, Sumaiya Salekin, Mohammad A. Haque

“…Our research introduces a scalable and effective OCR pipeline for Bangla handwritten documents that addresses these complexities. The proposed pipeline leverages the YOLO (You Only Look Once) model for character detection, accurately isolating base alphabets, consonant conjuncts, and characters with modifiers (matras). …”
Get full text

INDICATORS AND CRITERIA FOR ASSESSMENT OF MULTIFUNCTIONAL DEVELOPMENT OF RURAL TERRITORIES by O. V. Kosenchuk, A. V. Zinich

Get full text

Modern Methods for Diagnosing Faults in Rotor Systems: A Comprehensive Review and Prospects for AI-Based Expert Systems by Oleksandr Roshchupkin, Ivan Pavlenko

“…Working conditions nowadays are characterized by intensive rotation speeds, complex structures, and dynamic loads, contributing to different mechanical faults. …”
Get full text

Fresh Tea Leaf-Grading Detection: An Improved YOLOv8 Neural Network Model Utilizing Deep Learning by Zejun Wang, Yuxin Xia, Houqiao Wang, Xiaohui Liu, Raoqiong Che, Xiaoxue Guo, Hongxu Li, Shihao Zhang, Baijuan Wang

“…The incorporation of an Efficient Multi-Scale Attention Module with Cross-Spatial Learning serves to attenuate the influence of irrelevant features in complex backgrounds, which in turn, elevates the model’s detection Precision. …”
Get full text

Progressive Self-Prompting Segment Anything Model for Salient Object Detection in Optical Remote Sensing Images by Xiaoning Zhang, Yi Yu, Daqun Li, Yuqing Wang

“…With the continuous advancement of deep neural networks, salient object detection (SOD) in natural images has made significant progress. …”
Get full text

Security-centric node identification in complex networks by Lanying Liu, Ning Du, Duyong Sheng

“…Abstract Ensuring network security in complex and dynamic environments has become a critical challenge due to the increasing proliferation of Internet of Things (IoT) devices and decentralized architectures such as Fog Computing. …”
Get full text

Analysis of the capabilities of an information system for improving sleep quality based on biometric data analysis by M.S. Graf, A.V. Yakoniuk, D.V. Krant, I.I. Golovach

Get full text

INCREASING THE EFFICIENCY OF THE TREATMENT OF ENDOPARODONTAL LESIONS by F.Y. Mammadov, V.M. Bayramova, R.M. Ahmedbeyli

Get full text

Trading Community Analysis of Countries’ Roll-On/Roll-Off Shipping Networks Using Fine-Grained Vessel Trajectory Data by Shichen Huang, Tengda Sun, Jing Shi, Piqiang Gong, Xue Yang, Jun Zheng, Huanshuai Zhuang, Qi Ouyang

“…This method assesses the complexity, sparsity, homogeneity, modularity, and hierarchy of the RO/RO shipping network across various ports and countries and employs the graph convolutional neural network (GCN) model to extract network features for community detection. …”
Get full text

SF-DETR: A Scale-Frequency Detection Transformer for Drone-View Object Detection by Haotong Wang, Junwei Gao

“…Drone-based object detection faces critical challenges, including tiny objects, complex urban backgrounds, dramatic scale variations, and high-frequency detail loss during feature propagation. …”
Get full text

A Permutation Entropy Method for Sleep Disorder Screening by Cristina D. Duarte, Marcos M. Meo, Francisco R. Iaconis, Alejandro Wainselboim, Gustavo Gasaneo, Claudio Delrieux

Get full text

An Integrated Preprocessing and Drift Detection Approach With Adaptive Windowing for Fraud Detection in Payment Systems by Hadi M. R. Al Lawati, Anazida Zainal, Bander Ali Saleh Al-Rimy, Mohammad Al-Azawi, Mohamad Nizam Kassim, Sultan Ahmed Almalki, Tami Abdulrahman Alghamdi

“…This also serves as a basis for future work in adaptive fraud detection model research areas such as of integrating online learning for improved speed and efficiency in high-frequency transactional environments.…”
Get full text

AEMF: An Attention-Based Efficient and Multifeature Fast Text Detector by Wanqi Ma, Chaoyu Yang, Jie Yang, Jian Wu

“…Yet, in complex industrial scenarios, traditional detection methods are often unable to meet the requirements, which suffer from many problems of low accuracy and efficiency. …”
Get full text

Complex Service Desk System for Incident Management Automation by Michal Dostál

Get full text

Complexity Quantification of Driving Scenarios with Dynamic Evolution Characteristics by Tianyue Liu, Cong Wang, Ziqiao Yin, Zhilong Mi, Xiya Xiong, Binghui Guo

“…The correlation between scenario complexity and object detection algorithm performance further proves the effectiveness of the method. …”
Get full text

Towards Fast Implementation of Complex RNS Components on FPGAs by Sabbagh Molahosseini Amir, Alsadat Emrani Azadeh

“…The residue number system (RNS) with its inherent parallelism can also be used to enhance the performance of implementation of comput-ing algorithms on FPGAs. However, complex RNS operations such as residue to binary (reverse) conversion, sign detection, scaling, magnitude comparison and overflow detection have not been efficiently implemented on FPGAs until now. …”
Get full text

Complexity Analysis of Electroencephalogram Dynamics in Patients with Parkinson’s Disease by Guotao Liu, Yanping Zhang, Zhenghui Hu, Xiuquan Du, Wanqing Wu, Chenchu Xu, Xiangyang Wang, Shuo Li

Get full text

Stable and inert manganese complexes for magnetic resonance imaging by Ndiaye, Daouda, Tóth, Éva

“…Thanks to its five unpaired electrons and slow electron spin relaxation, Mn$^{2+}$ is a very efficient relaxation agent. Given the high doses required for in vivo MRI, Mn$^{2+}$ needs to be chelated in thermodynamically stable and kinetically inert complexes, despite its natural presence in the body. …”
Get full text

Disease Detection Algorithm for Tea Health Protection Based on Improved Real-Time Detection Transformer by Zhijie Lin, Zilong Zhu, Lingling Guo, Jingjing Chen, Jiyi Wu

“…Thus, there is an urgent demand for automated and efficient approaches to accurately detect and classify tea diseases. …”
Get full text

Fast Ways to Detect Outliers by Emad Obaid Merza, Nashaat Jasim Mohammed

“…In this research, we aim to develop easy methods for detecting outliers in big data, as the problem that this research addresses is that many of the newly developed methods for detecting outliers suffer from computational complexity or are efficient when the sample size is small. …”
Get full text