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

Lightweight Attention-Based CNN Architecture for CSI Feedback of RIS-Assisted MISO Systems by Anming Dong, Yupeng Xue, Sufang Li, Wendong Xu, Jiguo Yu

“…This approach not only improves network representational efficiency but also reduces redundant computations, leading to optimized computational complexity. …”
Get full text

Swarm intelligence driven inverse design of slot patterns for sub-6 GHz 5G MIMO antennas in virtual reality applications by Shadman Fuad Bin Faruquee, Himel Bhuiyan, Md. Shafiul Alam, Sharnali Islam, Khaleda Ali

“…This paper presents an efficient approach for developing miniature sub-6 GHz 5G MIMO antennas with enhanced bandwidth and high isolation. …”
Get full text

Comparative study of microstructure and mechanical properties of 2195-xSc Al–Li alloys with ultrasonic treatment by Anqing Li, Ripeng Jiang, Ruiqing Li, Aolei Fu, Li Zhang

Get full text

Augmenting insights into heat transfer performance of direct-contact evaporator: An interpretable data-driven hybrid strategy by Yinzhen Tan, Bo Yu, Jianxin Pan, Wuliang Yin, Min Wang, Hua Wang, Kai Yang, Qingtai Xiao

“…The volumetric heat transfer coefficient (VHTC) of direct-contact evaporator (DCE) in an organic Rankine cycle (ORC) system was one of the key indicators to reflect the heat transfer efficiency and energy utilization. …”
Get full text

Internal audit in customs administrations by G. V. Glazkova

“…The article reflects the author’s attempt to combine the possibilities of using digital technologies that increase the efficiency of the provision of this type of the service and create an effective management system within the customs service.…”
Get full text

UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies by Xiaojie Tang, Chengfen Jia, Zhengyang He

“…To address the challenges of low optimization efficiency and premature convergence in existing algorithms for unmanned aerial vehicle (UAV) 3D path planning under complex operational constraints, this study proposes an enhanced honey badger algorithm (LRMHBA). …”
Get full text

Real-time flood forecasting using time-varying parameter hydrological model: case study for Ta Trach reservoir by Chau Kim Tran, Nguyen Dong Dang, Dang Mai Nguyen, Bac Thi Ngoc Nguyen, Binh Thi Hoa Le, Hoang Cong Vo, Hien Phu La

“…Abstract Flood forecasting for reservoir operation is a complex and challenging subject. It is, however, fundamental for minimizing damage and maximizing economic efficiency in reservoir management. …”
Get full text

Network-based intrusion detection using deep learning technique by Muhammad Farhan, Hafiz Waheed ud din, Saadat Ullah, Muhammad Sajjad Hussain, Muhammad Amir Khan, Tehseen Mazhar, Umar Farooq Khattak, Ines Hilali Jaghdam

“…Abstract A high growth rate in network traffic and the complexity of cyber threats have made it necessary to create more effective and flexible intrusion detection systems. …”
Get full text

Diffractogram data processing module for electronic journal. Finding diffraction maximum by Roman D. Gerasimov, Arseny D. Starikov

“…In addition, in conditions of complexity of procurement procedures for specialized software, the issue of creating domestic solutions seems relevant. …”
Get full text

Secrecy Performance of a RIS-Assisted Wireless Network: A Comprehensive Analysis Under Outdated CSI by Tasneem Alshamaseen, Elmehdi Illi, Syed Waqas Haider Shah, Saud Althunibat, Marwa Qaraqe

“…This resilience indicates that the system can reduce channel estimation frequency to reconfigure the RIS, thus decreasing overall system overhead and complexity and improving energy efficiency. Moreover, increasing the number of REs can mitigate CSI aging effects where an SOP level of <inline-formula> <tex-math notation="LaTeX">$3 \times 10^{-5}$ </tex-math></inline-formula> can be achieved with 140 REs at <inline-formula> <tex-math notation="LaTeX">$\rho = 0.9$ </tex-math></inline-formula> in the absence of a transmitter-receiver direct link. …”
Get full text

An overview of the research on the correlation between solar energy utilization potential and spatial morphology by Dexin Li, Xiurong Cui, Ligang Shi, Yuan Li

“…The review shows that most of the studies in this field mainly employ geometric and descriptive morphological parameters to indirectly reflect the neighborhood relationship of buildings, while more complex multi-dimensional parameters or performance parameters characterizing building properties remain to be explored. …”
Get full text

The Theoretical and Methodological Basis of the Phenomenon of the Economy of Impressions by Iastremska Olesia A.

“…The main conclusions of the article are that the development of the economy and evolutionary changes in the models of consumer behavior contributed to the gradual development of the economy of impressions and the strengthening of its influence on improving the efficiency of enterprises. It is noted that the essence of the concept of «economy of impressions» should reflect a complex system of mutual influence of technical-technological, financial-economic, social, psychological, ethical relations between producers and consumers of goods and services at the post-industrial stage of social development. …”
Get full text

An Innovative Method of Monitoring Cotton Aphid Infestation Based on Data Fusion and Multi-Source Remote Sensing Using Unmanned Aerial Vehicles by Chenning Ren, Bo Liu, Zhi Liang, Zhonglong Lin, Wei Wang, Xinzheng Wei, Xiaojuan Li, Xiangjun Zou

“…Although the traditional remote sensing method with a single data source improves the monitoring efficiency to a certain extent, it has limitations with regard to reflecting the complex distribution characteristics of aphid pests and accurate identification. …”
Get full text

User-cooperative dynamic resource allocation for backscatter-aided wireless-powered MEC network by Huaiwen He, Chenghao Zhou, Feng Huang, Hong Shen, Yihong Yang, Shangsong Liang, Xinyuan Jin

“…Abstract Backscatter communication, which transmits information by passively reflecting radio frequency (RF) signals, has become a focal point of interest due to its potential to significantly enhance the energy efficiency of Wireless Power (WPMEC) networks and extend the operational lifespan of terminal devices. …”
Get full text

High-performance traffic volume prediction: An evaluation of RNN, GRU, and CNN for accuracy and computational trade-offs by Pranolo Andri, Saifullah Shoffan, Bella Utama Agung, Wibawa Aji Prasetya, Bastian Muhammad, Hardiyanti P Cicin

“…Predicting urban traffic volume presents significant challenges due to complex temporal dependencies and fluctuations driven by environmental and situational factors. …”
Get full text

Leveraging IoT-Enabled Sensor Networks and Machine Learning for Early Detection and Management of Wheat Rust by Adnan Myasar M., Almoussawi Zainab Abed, Anuradha Kodali

“…Applying a wide-ranging sensor complex controlled across farming pitches, the organization accumulates immediate data on recyclable conditions and crop strength boundaries, including temperature, moisture, soil dampness, and spectral reflectance. …”
Get full text

Dual-Gated Graph Convolutional Recurrent Unit with Integrated Graph Learning (DG3L): A Novel Recurrent Network Architecture with Dynamic Graph Learning for Spatio-Temporal Predicti... by Yuxuan Wang, Zhouyuan Zhang, Shu Pi, Haishan Zhang, Jiatian Pi

“…This paper introduces the Dual-Gated Graph Convolutional Recurrent Unit with Integrated Graph Learning (DG3L), a framework specifically designed to address the complex demands of spatio-temporal prediction. The DG3L model includes a memory-based graph learning module capable of generating dynamic graphs to accurately reflect ongoing changes in spatio-temporal dependencies. …”
Get full text

Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

“…The System Marginal Price (SMP) is the cost of the last unit of electricity supplied to the grid, reflecting the supply–demand equilibrium and serving as a key indicator of market conditions. …”
Get full text

A Novel Approach to Portfolio Construction: An Application of FinBERT Sentiment Analysis and Credibilistic CVaR Criterion by Esmaeil Taheripour, Seyed Jafar Sadjadi, Babak Amiri

“…Portfolio optimization continues to be a complex and challenging task within the fields of finance and management. …”
Get full text