A Systematic Literature Review on Load-Balancing Techniques in Fog Computing: Architectures, Strategies, and Emerging Trends by Danah Aldossary, Ezaz Aldahasi, Taghreed Balharith, Tarek Helmy

“…Fog computing has emerged as a promising paradigm to extend cloud services toward the edge of the network, enabling low-latency processing and real-time responsiveness for Internet of Things (IoT) applications. …”
Get full text

Clinical potential and experimental validation of prognostic genes in hepatocellular carcinoma revealed by risk modeling utilizing single cell and transcriptome constructs by Hang Deng, Xu Wang, Zi-Ang Jiang, Jian Xu, Yu Zhang, Yao Zhou, Jun Gong, Xiang-Yu Lu, Yi-Fu Hou, Hao Zhang

“…Subsequently, univariate Cox regression analysis and PH assumption test were performed, and a risk model was developed using an optimal algorithm from 101 combinations on the TCGA-LIHC dataset to pinpoint prognostic genes. …”
Get full text

A Simple Blind Sampling Frequency Offset Estimation Scheme for Short-Reach DD-OFDM Systems by Hong Wen, Kang Geng, Qinghui Chen, Rui Deng, Ming Chen, Tiezhu Zong, Kunping Luo, Fengnian Liu

“…It can achieve high-precision SFO estimation while ensuring low computational complexity as well as high spectral efficiency. …”
Get full text

Optimizing Non-Terrestrial Hybrid RF/FSO Links With Reinforcement Learning: Navigating Through Clouds by Abdullateef Almohamad, Mostafa Ibrahim, Sabit Ekin, Mazen Hasna, Saud Althunibat, Khalid Qaraqe

“…In the pursuit of ubiquitous broadband connectivity, there has been a significant shift towards the vertical expansion of communication networks into space, particularly through the exploitation of low Earth orbit (LEO) satellite constellations, which are favored for their relatively low latency. …”
Get full text

Computationally Efficient Chaotic Spreading Sequence Selection for Asynchronous DS-CDMA by Litviņenko Anna, Āboltiņš Artūrs

“…This paper presents a novel exhaustive search algorithm, which allows finding sets of chaotic spreading sequences of required length with a particularly low mutual cross-correlation. …”
Get full text

Employment of a Radial Basis Function Model for Predicting the Heating Load of Construction by Yuxuan Dai

“…The innovative approaches presented in this research consist of integrating 2 advanced optimizers, namely an Improved Manta-Ray Foraging Optimizer (IMRFO) and a Population-based Vortex Search Algorithm (PVSA), with a Radial Basis Function (RBF). …”
Get full text

High-accuracy positioning for 5G-Advanced wireless systems by Bin REN, Zhenyu ZHANG, Rongyi FANG, Xiaotao REN, Jianxiang LI, Yunjing HOU, Zhe YU, Shaohui SUN

“…With the rapid development of positioning technology, high-accuracy positioning technology for 5G-Advanced is receiving more and more attention.Firstly, the current situation of 5G positioning standards based on the 3rd Generation Partnership Project (3GPP) Release 16/ Release17 and the enhancement directions of the 5G-Advanced positioning technology based on 3GPP Release 18 were introduced.Secondly, the 5G orthogonal frequency division multiplexing (OFDM) signal model and three key algorithms for carrier phase positioning technology were mainly studied, including: carrier phase measurement algorithm based on phase locked loop, double-difference algorithm based on reference user equipment (UE), and UE position calculation algorithm based on extended Kalman filter.Finally, the low-power high-accuracy positioning technology and the positioning accuracy enhancement technology based on positioning reference unit were analyzed.…”
Get full text

Analysis of the Effectiveness of Variants of the Exhaust Compartment of a Steam Turbine by V. G. Solodov, V. A. Konev

“…The results of a numerical study of the gas-dynamic and power characteristics of the exhaust compartment of low-pressure cylinder, including the last stage with a blade of 1100 mm length and the exhaust path, in terms of their interaction are presented. …”
Get full text

DSM-Based Precise Pointing Angle Deviation Measurement Method for Beaconless Free Space Optical Communication by Xueyuan Ao, Yansheng Zou, Yang Zou, Qirun Fan, Xiaoxiao Dai, Chen Liu, Qi Yang, Deming Liu

Get full text

Study of the Characteristics of a Co-Seismic Displacement Field Based on High-Resolution Stereo Imagery: A Case Study of the 2024 MS7.1 Wushi Earthquake, Xinjiang by Chenyu Ma, Zhanyu Wei, Li Qian, Tao Li, Chenglong Li, Xi Xi, Yating Deng, Shuang Geng

“…Subsequently, we applied the Iterative Closest Point (ICP) algorithm to perform differencing analysis on these datasets. …”
Get full text

Enhancing Autonomous Truck Navigation in Underground Mines: A Review of 3D Object Detection Systems, Challenges, and Future Trends by Ellen Essien, Samuel Frimpong

“…It assesses deep learning algorithms, fusion techniques, multi-modal sensor suites, and limited datasets in an underground detection system. …”
Get full text

Artificial-Intelligence-Based Energy Management Strategies for Hybrid Electric Vehicles: A Comprehensive Review by Bin Huang, Wenbin Yu, Minrui Ma, Xiaoxu Wei, Guangya Wang

Get full text

Improved method of non-intrusive load monitoring based on compressed sensing by Bo Yuan, Hong Liu, Shaoyun Ge, Guoping Liu

“…On this basis, two theorems of ‘sparsity proportion’ were analyzed and Multiple Extraction Direction Pursuit based on Gradient (MEDP-G) algorithm was proposed to improve the reconstruction algorithm. …”
Get full text

Domain knowledge-driven decomposition-based large-scale optimization for ship cabin structures by Puyu JIANG, Jun LIU, Qiangjun LUO, Yuansheng CHENG

“…MethodsThe proposed algorithm combines domain mechanical knowledge with a general black box optimization algorithm, groups the design variables into location variables and size variables, and decomposes the original problem into a series of low-dimensional subproblems. …”
Get full text

Vibration control and noise attenuation strategies via acoustic metamaterial in railway transportation: a state-of-the-art review by Cong Wang, Guifeng Wang, Zhenyu Chen, C. W. Lim, Weiqiu Chen

“…Additionally, integrating optimization algorithms and artificial intelligence (AI) enhances AMM design precision and scalability. …”
Get full text

Accurately assessing congenital heart disease using artificial intelligence by Khalil Khan, Farhan Ullah, Ikram Syed, Hashim Ali

“…Congenital heart disease (CHD) remains a significant global health challenge, particularly contributing to newborn mortality, with the highest rates observed in middle- and low-income countries due to limited healthcare resources. …”
Get full text

MicroRNA-1912 regulates cholesterol homeostasis by targeting PCSK9 by Chan Joo Lee, Myeongjune Go, Sae-Bom Jeon, Sun-Ho Lee, Dongkook Min, So Hee Park, Seunghyun Lee, Sahng Wook Park

“…Proprotein convertase subtilisin/kexin type 9 (PCSK9) binds to low-density lipoprotein (LDL) receptor (LDLR) and promotes degradation of LDLR, regulating cholesterol homeostasis. …”
Get full text

Improved Sliding Mode Active Disturbance Rejection Control for Single-inductance Dual-output Buck Converter by HUANG Jinfeng, ZHOU Jie

“…ObjectiveThe single-inductance dual-output (SIDO) converter has gained increasing attention due to its reduced magnetic component count, compact size, low cost, and high efficiency. However, because both output branches share a single inductor, significant cross-coupling arises during input voltage transients and load disturbances, degrading output voltage performance. …”
Get full text

Predicting student retention: A comparative study of machine learning approach utilizing sociodemographic and academic factors by Reymark D. Deleña, Norniña J. Dia, Redeemtor R. Sacayan, Joseph C. Sieras, Suhaina A. Khalid, Amer Hussien T. Macatotong, Sacaria B. Gulam

“…This study explores the predictive potential of machine learning (ML) algorithms in identifying students at risk of dropping out using historical academic and sociodemographic data from Mindanao State University–Main Campus, covering a ten-year period (2012–2022). …”
Get full text

Improved Super-Twisting Sliding Mode Control of a Brushless Doubly Fed Induction Generator for Standalone Ship Shaft Power Generation Systems by Xueran Fei, Minghao Zhou, Yingyi Jiang, Longbin Jiang, Yi Liu, Yan Yan

Get full text