Complex Service Desk System for Incident Management Automation by Michal Dostál

Get full text

Comparison of selected self-consumption regulatory approaches in Europe by Armando Moreno, João Mello, José Villar

Get full text

Novel roles for selected genes in meiotic DNA processing. by Philip W Jordan, Franz Klein, David R F Leach

“…Based on our selection procedure, 81 deletion mutants were constructed and tested for phenotypic abnormalities. …”
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

A Polar Coding Scheme With Selected Index Modulation by Si-Yu Zhang, Jia-Qi Zhang, Xin-Wei Yue, Chao-Wei Wang

“…Sophisticated polar decoding enhances the corresponding performance while degrading the coding rate and complexity. For better decoding performance and efficiency, this paper presents a polar coding scheme with selected index modulation (PC-SIM). …”
Get full text

Efficiency Evaluation of Segmentation Algorithms for AFM Images by V. V. Rabtsevich, V. Yu. Tsviatkou

“…Segmentation algorithms realization in Matlab and in the specialized software package Gwyddion are considered. Algorithms efficiency was assessed using segments number, uniformity brightness within a segment, contrast at the border of adjacent segments, and a complex criterion that takes into account the uniformity of segments brightness, their number and size.…”
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

Hammer Grain Crushers: Classification and Efficiency Assessment by Artem A. Mezenov, Nikolai N. Grigorev, Nikolai I. Kashevarov

“…The authors introduced a complex performance index to assess the efficiency of pneumatic and mechanical grain crushers. …”
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

Efficient Progressive Mamba Model for Hyperspectral Sequence Unmixing by Yang Liu, Shujun Liu, Huajun Wang

“…To address this, we propose an efficient progressive hyperspectral sequence unmixing model (ProMU), introducing a multistage progressive context selection strategy that ensures computational efficiency while alleviating the performance degradation caused by the length mismatch between spectral and abundance sequences. …”
Get full text

Efficient optimization of the Held–Karp lower bound by Righini, Giovanni

“…In this paper it is shown that the selection of vertex $\bar{p}$ can be optimized, to obtain the largest possible Held–Karp lower bound, with the same worst-case computational time complexity required to compute a single minimum spanning tree. …”
Get full text

An Efficient Dropout for Robust Deep Neural Networks by Yavuz Çapkan, Aydın Yeşildirek

“…These findings demonstrate the potential of the proposed technique to improve model robustness and training efficiency and provide an alternative in complex classification tasks.…”
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

Metal Complexes of Bispidine Derivatives: Achievements and Prospects for the Future by Altynay B. Kaldybayeva, Valentina K. Yu, Feyyaz Durap, Murat Aydemir, Khaidar S. Tassibekov

“…Multidentate bispidine ligands, including tetra-, penta-, hexa-, hepta-, and octadentate variants, exhibit strong coordination tendencies due to their intrinsic rigidity, significant reorganization potential, and ability to efficiently encapsulate metal ions. These structural attributes profoundly influence the thermodynamic stability, metal ion selectivity, redox behavior, and spin-state configuration of the resulting complexes. …”
Get full text

Cost optimization on example of hotel-restaurant complex enterprises by Volkovska I.V.

“…The author has developed the sequence of cost optimization on the example of enterprises of the hotel-restaurant complex, which helps to structure the process of cost management. …”
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

The analysis of landscape design and plant selection under deep learning by Lian Li, JiYon Lee

“…Abstract This paper explores the application of deep learning (DL) techniques in landscape design and plant selection, aiming to enhance design efficiency and quality through automated plant leaf image recognition (PLIR). …”
Get full text

Integrating Correlation-Based Feature Selection and Clustering for Improved Cardiovascular Disease Diagnosis by Agnieszka Wosiak, Danuta Zakrzewska

Get full text

Reinforcement Q-Learning-Based Adaptive Encryption Model for Cyberthreat Mitigation in Wireless Sensor Networks by Sreeja Balachandran Nair Premakumari, Gopikrishnan Sundaram, Marco Rivera, Patrick Wheeler, Ricardo E. Pérez Guzmán

“…The proposed model leverages a deep learning-based anomaly detection system to classify network states into low, moderate, or high threat levels, which guides encryption policy selection. …”
Get full text