Waveguide Engineering of Graphene Optoelectronics—Modulators and Polarizers by Yuan Meng, Shengwei Ye, Yijie Shen, Qirong Xiao, Xing Fu, Rongguo Lu, Yong Liu, Mali Gong

“…A comprehensive analysis and unified design scenarios upon waveguide geometries are summarized, with fabrication robustness and moderate process complexity. Moreover, design examples are manifested. …”
Get full text

Improving Interlayer Adhesion of Cementitious Materials for 3D Construction Printing by Vyacheslav Medvedev, Andrey Pustovgar, Aleksey Adamtsevich, Liubov Adamtsevich, Anastasia Abramova

“…At the same time, there are still a significant number of unresolved issues in this area related to the complexity of ensuring uniformity of printing due to technical difficulties with the mortar. …”
Get full text

Computer-aided simulation of unmanned aerial vehicle composite structure dynamics by Artur Kierzkowski, Tomasz Kisiel, Maciej Milewski, Ádám Török, Michał Stosiak, Jakub Wróbel

“…To reduce the costs and complexity of experimental investigations, there is a demand for numerical models that accurately represent the structure′s dynamic behaviour. …”
Get full text

Experimental Study on Acoustic Emission Characteristics of Dry and Saturated Basalt Columnar Joints under Uniaxial Compression and Tensile Damage by Liu Gang, Xiao Fu-kun, Cheng Qian-long, Qin Tao

“…The results show that the softening coefficient of uniaxial compressive strength and the tensile strength was 0.78 and 0.68, respectively, and water increases the sample complexity and has a strong effect on its strength. …”
Get full text

Damage Localization and Quantification of Truss Structure Based on Electromechanical Impedance Technique and Neural Network by Cunfu He, Shen Yang, Zenghua Liu, Bin Wu

“…And RMSD values of these bands showed that data points were reduced while damage features remained. Finally, one four-layered BP neural network model was constructed based on these compressed data. …”
Get full text

An Empirical Evaluation of Lightweight Random Walk Based Routing Protocol in Duty Cycle Aware Wireless Sensor Networks by Adnan Noor Mian, Mehwish Fatima, Raees Khan, Ravi Prakash

“…However, along with advantages, duty cycle aware networks introduce some complexities like synchronization and latency. Due to their inherent characteristics, many traditional routing protocols show low performance in densely deployed WSNs with duty cycle awareness, when sensor nodes are supposed to have high mobility. …”
Get full text

Power Quality State Estimation for Distribution Grids Based on Physics-Aware Neural Networks—Harmonic State Estimation by Patrick Mack, Markus de Koster, Patrick Lehnen, Eberhard Waffenschmidt, Ingo Stadler

“…Integrating a high penetration of distributed generation, which is typically located in medium- or low-voltage grids, shifts the monitoring tasks from the transmission to distribution layers. Compared to high-voltage grids, distribution grids feature a higher level of complexity. …”
Get full text

Deep Learning Techniques in DICOM Files Classification: A Systematic Review by Mabirizi, Vicent, Kawuma, Simon, Natumanya, Deborah, Wasswa, William

“…The digital imaging and communications in medicine (DICOM) format is a widely adopted standard for storing medical imaging data, integrating both image and metadata critical for clinical diagnostics. However, its complexity poses challenges for deep learning applications, particularly in extracting and processing this dual-layered data. …”
Get full text

Sensibilité aux mouvements de masse dans l'Apennin méridional (Campanie, Italie). Exemple des bassins versants de l'Ufita, du Miscano et du Calaggio by Michele Sisto, Antonio Di Lisio, Filippo Russo

“…This work studies the relationship between the sensibility of slopes to mass movement and different factors, including rainfall regime, in a part of the Southern Apennines characterized by a high litho-structural complexity.Rainfall regime has been defined from a series of long-term data, which have made it possible to calculate a number of climatic levels. …”
Get full text

Multimodal GRU with directed pairwise cross-modal attention for sentiment analysis by Zhenkai Qin, Qining Luo, Zhidong Zang, Hongpeng Fu

“…MulG also employs GRU layers, which are efficient in handling sequential data, making it both accurate and computationally efficient. …”
Get full text

Methodological positioning of the novel in early Serbian literary theories by Bihorac Ahmed

“…These claims are supported with examples from the textbooks, taking into account the complexity and layered nature of literary and artistic material that the authors employed, and which they discussed in introductory notes and observations. …”
Get full text

Design and Efficacy of a Data Lake Architecture for Multimodal Emotion Feature Extraction in Social Media by Yuanyuan Fan, Xifeng Mi

“…The data lake architecture comprises five layers, facilitating real-time and offline data collection, storage, processing, standardized interface services, and data mining analysis. …”
Get full text

UAV Signal Modulation Recognition Algorithm Based on Joint Features by Yang Zheng, Zhihai Zhuo

“…To address the limitations of existing algorithms that overly rely on single features, resulting in low recognition rates and excessive model complexity, this paper proposes a drone signal modulation recognition algorithm based on joint features. …”
Get full text

Diagnosis Retinal Disease by using Deep Learning Models by attallh salih, Manar Kashmoola

“…The models were named respectively as 1FE1C, 2FE2C, and 3FE3C according to the design complexity. The concept uses deep CNN to learn a feature hierarchy from pixels to layers of classification retinal diseases. …”
Get full text

The Brain Behind the Grid: A Comprehensive Review on Advanced Control Strategies for Smart Energy Management Systems by Gowthamraj Rajendran, Reiko Raute, Cedric Caruana

“…The analysis highlights the capacity of integrated digital solutions to augment system intelligence, strengthen operational resilience, and increase flexibility across various layers of the energy infrastructure. In addressing persistent challenges—including demand-side variability, supply intermittency, and regulatory complexity—the coordinated implementation of these technologies enables real-time optimization, predictive maintenance, and data-informed decision-making. …”
Get full text

A novel sub-network level ensemble deep neural network with a regularized loss function to improve prediction performance by Jalil Toosifar, Yahya Forghani, Seyyed Abed Hosseini, Nasser Shoeibi

“…Furthermore, a computational complexity analysis confirms that the proposed approach maintains a balanced trade-off between accuracy and computational efficiency compared to existing methods.…”
Get full text

Internet of Things (IoT) of Smart Homes: Privacy and Security by Tinashe Magara, Yousheng Zhou

“…We systematically categorize prevalent privacy, security, and interoperability issues within the context of the IoT layered architecture. The review highlights current research initiatives focused on developing energy-efficient devices, optimizing microprocessors, and fostering interdisciplinary collaborations to address the challenges in the IoT landscape. …”
Get full text

Digression-demutation processes of riparian forests along the Kacha River in the Republic of Crimea by Valentina G. Kobechinskaya, Olga B. Yarosh, Valery L. Apostolov

“…In the lower reaches of the river, communities with low canopy closure and significant shrub layers are observed. The conducted research emphasizes the diversity and complexity of the ecosystems of the Kacha River. …”
Get full text

Crossing the Grand Routes: Highwaymen on the Roads of the Romanian Principalities in the Long Nineteenth Century by Mihai-Bogdan Atanasiu, Constantin Răchită, Ana Odochiciuc, Roxana Patraș

“…This paper draws from a larger research project whose aims are to extract spatial data from the Romanian hajduk genre fiction of the long nineteenth century (HaiRo Corpus), to set ground for an interdisciplinary database that provides a documentary framework for Hajduk criminality, and to contextualize territorial and topographical data-layers with geographically referenced information (GIS). …”
Get full text

Optimisation of Residual Network Using Data Augmentation and Ensemble Deep Learning for Butterfly Image Classification by Diniati Ruaika, Shofwatul Uyun

“…However, problems arise due to factors such as the model’s quality, unbalanced training data, overfitting, and layers’ complexity. ResNet50 is a transfer learning-based convolutional neural network model frequently used in many areas, including Lepidopterology. …”
Get full text