Optimization of reinforced ring base depth for vertical shaft sinking in soft soil using VSM method by Dhyaa A.H. Abualghethe, Baogang Mu, Guoliang Dai, Sijin Liu, Zhongwei Li, Songyu Liu, Lei Han

“…Constructing vertical shafts in densely populated urban areas with complex geological conditions poses significant challenges, necessitating innovative construction techniques and design optimization. …”
Get full text

YOLOv8n-RF: A Dynamic Remote Control Finger Recognition Method for Suppressing False Detection by Yawen Wang, Gaofeng Wang, Yining Yao

“…The YOLOv8n-RF algorithm meets the requirements of low cost and low complexity, which contributes to reducing false control operations on smart TVs.…”
Get full text

Efficient Pruning of Detection Transformer in Remote Sensing Using Ant Colony Evolutionary Pruning by Hailin Su, Haijiang Sun, Yongxian Zhao

“…This study mainly addresses the issues of an excessive model parameter count and computational complexity in Detection Transformer (DETR) for remote sensing object detection and similar neural networks. …”
Get full text

Prediction of China’s Polysilicon Prices: A Combination Model Based on Variational Mode Decomposition, Sparrow Search Algorithm and Long Short-Term Memory by Jining Wang, Lin Jiang, Lei Wang

“…Given the non-stationarity, nonlinearity, and high complexity of polysilicon prices in the photovoltaic (PV) industry chain, this paper introduces upstream and downstream material prices of the PV industry chain and macroeconomic indicators as influencing factors. …”
Get full text

Dissecting specific and global transcriptional regulation of bacterial gene expression by Luca Gerosa, Karl Kochanowski, Matthias Heinemann, Uwe Sauer

“…Simultaneous specific and global regulation thus constitutes an additional—but often neglected—layer of complexity in gene expression. Here, we develop an experimental‐computational approach to dissect specific and global regulation in the bacterium Escherichia coli. …”
Get full text

Computing Idle Times in Fuzzy Flexible Job Shop Scheduling by Pablo García Gómez, Inés González-Rodríguez, Camino R. Vela

“…Unfortunately, fuzzy processing times add an extra layer of complexity to otherwise straightforward operations. …”
Get full text

Image forgery detection algorithm based on U-shaped detection network by Zhuzhu WANG

“…Aiming at the defects of traditional image tampering detection algorithm relying on single image attribute,low applicability and current high time-complexity detection algorithm based on deep learning,an U-shaped detection network image forgery detection algorithm was proposed.Firstly,the multi-stage feature information in the image by using the continuous convolution layers and the max-pooling layers was extracted by U-shaped detection network,and then the obtained feature information to the resolution of the input image through the upsampling operation was restored.At the same time,in order to ensure higher detection accuracy while extracting high-level semantic information of the image,the output features of each stage in U-shaped detection network would be merged with the corresponding output features through the upsampling layer.Further the hidden feature information between tampered and un-tampered regions in the image upon the characteristics of the general network was explored by U-shaped detection network,which could be realized quickly by using its end-to-end network structure and extracting the attributes of strong correlation information among image contexts that could ensure high-precision detection results.Finally,the conditional random field was used to optimize the output of the U-shaped detection network to obtain a more exact detection results.The experimental results show that the proposed algorithm outperforms those traditional forgery detection algorithms based on single image attribute and the current deep learning-based detection algorithm,and has good robustness.…”
Get full text

Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach. by Masud Ibn Afjal, Md Nazrul Islam Mondal, Md Al Mamun

“…These features are then processed through fully connected dense layers and a softmax layer for classification. Extensive experiments on three widely used HSI datasets demonstrate that our method consistently outperforms existing state-of-the-art techniques in classification performance. …”
Get full text

A novel broadband reflectarray antenna employing equivalent magnetic dipole elements by Sen Li, Yang Cai, Hong Ma, Lijun Bu, Siyu Qi, Yufan Cao, Tao Wu

“…Compared with conventional magnetoelectric dipoles, the single-layer EMD element eliminates the vertically metallized via structure and generates an equivalent magnetic dipole with the help of displacement current rather than toroidal current, providing benefits including reduced complexity and enhanced bandwidth. …”
Get full text

Multi-Modal Dynamic Fusion for Defect Detection in Electronic Products: A Novel Approach Based on Energy and Deep Learning by Yulin Liu, Yang Gao

“…As electronic products continue to evolve in complexity, maintaining stringent quality standards during manufacturing presents mounting challenges. …”
Get full text

Towards a Digital Transformation Hyper-Framework: The Essential Design Principles and Components of the Initial Prototype by Ana Perisic, Branko Perisic

“…To cope with the complexity, the digital transformation of cyber-physical and socio-technology systems demands the utilization of heterogeneous tailorable development environments with dynamic configuring ability and transparent integration of independently developed dedicated frameworks. …”
Get full text

A sensation driven functional MRI study on brain activation during bladder filling in healthy participants by Anugrah D. Santoso, Stefan Sunaert, Dirk De Ridder

“…To prevent constant engagement of the viscerosensory cortex and to add a layer of complexity, a diversion continuous performance task (CPT) was randomly presented. …”
Get full text

Identification of the potential active site of the septal peptidoglycan polymerase FtsW. by Ying Li, Adrien Boes, Yuanyuan Cui, Shan Zhao, Qingzhen Liao, Han Gong, Eefjan Breukink, Joe Lutkenhaus, Mohammed Terrak, Shishen Du

“…However, how SEDS proteins recognize their substrate lipid II, the building block of the PG layer, and polymerize it into glycan strands is still not clear. …”
Get full text

Improving computational drug repositioning through multi-source disease similarity networks by Duc-Hau Le

“…Experimental results show that both disease multiplex and multiplex-heterogeneous networks outperform their single-layer counterparts in leave-one-out cross-validation. …”
Get full text

Assessing the Impact of Concurrent Tunnel Excavations on Rock Mass Deformation Around Existing Structures by Maoyi Liu, Qiang Ou, Xuanxuan Ren, Xuanming Ding

“…Due to the complexity of planning and constructing underground lines, construction challenges—such as close proximity and multi-line interactions—are increasingly being recognized, along with their associated safety hazards. …”
Get full text

MLGL: An R Package Implementing Correlated Variable Selection by Hierarchical Clustering and Group-Lasso by Quentin Grimonprez, Samuel Blanck, Alain Celisse, Guillemette Marot

“… The R package MLGL, standing for multi-layer group-Lasso, implements a new procedure of variable selection in the context of redundancy between explanatory variables, which holds true with high-dimensional data. …”
Get full text

“LIVE AND LEARN!”: PHRASEOLOGY AS ASSIMILATIVE MATERIAL IN TEACHING FOREIGN LANGUAGES (BY THE EXAMPLE OF RUSSIAN AS A FOREIGN LANGUAGE) by M.S. Khmelevskii, A.V. Savchenko

“…However, at the same time, the teacher is required to make a clear and strict selection of direct phraseological material, taking into account the degree of usage of a particular phraseological unit by native speakers themselves, the degree of its comprehensibility - complexity for a foreign student, as well as taking into account the specific communicative tasks facing students. …”
Get full text

RiceNet: Efficient CNN for High-Throughput Image-Based Rice Panicle Detection and Counting by Kushwaha Ragini, Balkrishna Sutar Manisha

“…RiceNet has a compact convolutional layer-based architecture to extract features efficiently that also incorporates attention layers to capture high-order dependencies, hence making the exact detection under varying lighting and occlusion conditions. …”
Get full text

A quality-of-service evaluation method based on the cloud model for routing protocols in wireless sensor network by Wenxian Jiang, Chenzhe Gu, Jingjing Wu

“…The routing layer quality of service in wireless sensor network depends on different indices such as throughput, delay, packet loss rate, energy consumption, and degree of congestion. …”
Get full text

Enhancing UAV Object Detection in Low-Light Conditions with ELS-YOLO: A Lightweight Model Based on Improved YOLOv11 by Tianhang Weng, Xiaopeng Niu

“…ELS-YOLO features a re-parameterized backbone (ER-HGNetV2) with integrated Re-parameterized Convolution and Efficient Channel Attention mechanisms, a Lightweight Feature Selection Pyramid Network (LFSPN) for multi-scale object detection, and a Shared Convolution Separate Batch Normalization Head (SCSHead) to reduce computational complexity. Layer-Adaptive Magnitude-Based Pruning (LAMP) is employed to compress the model size. …”
Get full text