Influence of Ligand Isomerism on the Photophysical Properties of AIPE-Active Rhenium(I) Complexes: Investigations with a 2-(1,2,3-Triazol-1-yl)pyridine (Tapy)-Based Complex and Its... by Abanoub Mosaad Abdallah, Mariusz Wolff, Nadine Leygue, Maëlle Deleuzière, Nathalie Saffon-Merceron, Charles-Louis Serpentini, Eric Benoist, Suzanne Fery-Forgues

“…This study shows how the ligand isomerism influences the optical properties of tricarbonylrhenium(I) complexes. It indicates that selecting the right pattern is a key factor for the design of efficient photoluminescent materials.…”
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EDB-Net: Efficient Dual-Branch Convolutional Transformer Network for Hyperspectral Image Classification by Hufeng Guo, Wenyi Liu

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INVESTIGATION AND COMPARISON OF CHATGPT AND GOOGLE GEMINI EFFICIENCY IN EDUCATION, DESIGN AND ENGINEERING ANALYSIS by H. Ghashochi Bargh, M. H. Sadr, A. Aghababaee

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FedEach: Federated Learning with Evaluator-Based Incentive Mechanism for Human Activity Recognition by Hyun Woo Lim, Sean Yonathan Tanjung, Ignatius Iwan, Bernardo Nugroho Yahya, Seok-Lyong Lee

“…In addition, FedEach maintains computational efficiency so that it is reliable for efficient FL applications such as sensor-based HAR with wearable devices and mobile sensing.…”
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THE PROBLEM OF ENERGY EFFICIENCY OF SYSTEMS BASED ON ARTIFICIAL INTELLIGENCE OF THE INTERNET OF THINGS (AIOT) by С. В. Войтко

“…It was determined that integrating artificial intelligence functionality into the IoT infrastructure provides the opportunity to store big data for processing using artificial intelligence elements capable of conducting predictive analysis to make informed management decisions. AIoT energy efficiency can be ensured on the basis of the following: selection of machine learning methods, hardware improvement, software optimization, network planning, effective model design, and energy consumption testing with subsequent conclusions for comprehensive improvement. …”
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A New Method for Camera Auto White Balance for Portrait by Sicong Zhou, Kaida Xiao, Changjun Li, Peihua Lai, Hong Luo, Wenjun Sun

“…Traditional AWB methods like gray-world or max-RGB often rely on statistical assumptions, which limit their accuracy under complex or extreme lighting. We propose SCR-AWB, a novel algorithm that leverages real skin reflectance data to estimate the scene illuminant’s SPD and CCT, enabling accurate skin tone reproduction. …”
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Spatial performance evaluation and optimization of integrated aboveground and underground spaces in urban commercial complexes by Xiaochun Hong, Shengcai Li, Tao Chen, Xiang Ji, Xinlan Song

“…Specific optimization directions for selected case studies are outlined. The study’s conclusions guide the scientific development of integrated spaces in urban commercial complexes, ultimately enhancing overall efficiency.…”
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Hydrothermal leaching behavior of a complex polymetallic secondary sulfide concentrate enhanced by ultrasonication by Liu Q.F., Liao Y.L., Li J.L., Wu M.

“…Complex polymetallic secondary sulfide concentrate (CPSSC) is difficult to be efficiently utilized because of its special mineral phase structure and high lead and iron content. …”
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Research on the Construction and Application of a SVM-Based Quantification Model for Streetscape Visual Complexity by Jing Zhao, Wanyue Suo

“…This model can efficiently and scientifically predict street view complexity on a large scale. …”
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Formation of ternary organic acids-Fe-P complexes on the growth of wheat (Triticum aestivum) by Djalma E. Schmitt, Luciano C. Gatiboni, Daniel J. D. Orsoletta, Gustavo Brunetto

“…Two experiments were carried out to evaluate the formation of organic acid-Fe-P complexes in the laboratory and the efficiency of these complexes on the growth of wheat plants (T. aestivum) grown under greenhouse conditions. …”
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A Parts Detection Network for Switch Machine Parts in Complex Rail Transit Scenarios by Jiu Yong, Jianwu Dang, Wenxuan Deng

“…The rail transit switch machine ensures the safe turning and operation of trains on the track by switching switch positions, locking switch rails, and reflecting switch status in real time. However, in the detection of complex rail transit switch machine parts such as augmented reality and automatic inspection, existing algorithms have problems such as insufficient feature extraction, large computational complexity, and high demand for hardware resources. …”
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Methodical Approach to the Formation of the Forecast Labor Intensity of the Development (Modernization) of Complex Technical Systems by Alexander G. Podolsky, Alexey V. Babkin

“…The purpose of this article is to increase the efficiency use of human and financial resources for the development (modernization) of complex technical systems. …”
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Analysis of the current state and modern trends in the development of the rocket and space complex of the Russian Federation by  E. V. Chernyaev

“…Based on the data obtained, recommendations have been developed to improve the efficiency of the Russian rocket and space complex, with a focus on increasing innovation activity, upgrading key assets, and expanding international cooperation. …”
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Asymmetric synthesis of stereogenic-at-iridium(III) complexes through Pd-catalyzed kinetic resolution by Yun-Peng Chu, Xue-Lin Yue, De-Hai Liu, Chuanyong Wang, Jiajia Ma

“…Notably, while asymmetric catalysis has played a crucial role in the production of optically active organic molecules, its application to stereogenic-at-metal complexes is less straightforward. In this study, we introduce a kinetic resolution strategy employing a Pd-catalyzed asymmetric Suzuki-Miyaura cross-coupling reaction that efficiently produces optically active stereogenic-at-iridium complexes from racemic mixtures with high selectivity (achieving an s-factor of up to 133). …”
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A COGNITIVE APPROACH FORMING THE BASIS OF SYSTEM AND FINANCIAL ANALYSIS OF COMPLEX RESEARCH OBJECTS by A. N. Vetrov

“…It is based on the generated system of analytical coefficients, each representing a complex of parameters (indicators), echeloned for a series of portraits and stratified into several independent sets, arranged on two different levels of the selected hierarchy (structure).Conclusion. …”
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Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits by Anthony Bernard, Juliette Bénéjam, Morgane Roth, Fabrice Lheureux, Elisabeth Dirlewanger

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Development of educational complex on electrical engineering, electronics and microcon-trollers on modeling in TINA software by Vladimir A. Alekhin

“…The purpose of the research was a comparative analysis of various computer simulation programs in terms of their accessibility, ease of development and efficiency of use by lecturers and students in the educational process, and the creation and testing of a training complex for the electrical engineering, electronics and microcontrollers using the selected modeling environment.The problems associated with the need to purchase licensed software were discussed and a comparative analysis of the following computer modeling programs for electrical circuits and electronic circuits was performed: NI Multisim, Micro-Cap, Proteus VSM, OrCAD, TINA. …”
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Deep Learning-Based Efficient Model Development for Phishing Detection Using Random Forest and BLSTM Classifiers by Shan Wang, Sulaiman Khan, Chuyi Xu, Shah Nazir, Abdul Hafeez

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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Although there exist several automatic optimization techniques, these usually take significant resources, increasing the dynamic complexity in order to obtain a great accuracy. Since one of the most critical aspects in this computational consume is the available dataset, among others, in this paper we perform a study of the effect of using different partitions of a dataset in the hyperparameter optimization phase over the efficiency of a Machine Learning algorithm. …”
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DEPDet: A Cross-Spatial Multiscale Lightweight Network for Ship Detection of SAR Images in Complex Scenes by Jing Zhang, Fan Deng, Yonghua Wang, Jie Gong, Ziyang Liu, Wenjun Liu, Yinmei Zeng, Zeqiang Chen

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