Continuous and Discrete Similarity Coefficient for Identifying Essential Proteins Using Gene Expression Data by Jiancheng Zhong, Zuohang Qu, Ying Zhong, Chao Tang, Yi Pan

“…Using the graph theory as the basis, we fused the newly proposed similarity coefficient with the existing network topology prediction algorithm at each protein node to recognize essential proteins. …”
Get full text

Improving the Accuracy in Classification of Blood Pressure from Photoplethysmography Using Continuous Wavelet Transform and Deep Learning by Jiaze Wu, Hao Liang, Changsong Ding, Xindi Huang, Jianhua Huang, Qinghua Peng

“…We have established a new algorithm with high accuracy to predict BP classification from PPG via matching of CWT type and segment length, which is a promising solution for rapid prediction of BP classification from real-time processing of PPG signal on a wearable device.…”
Get full text

An Innovative Online Adaptive High-Efficiency Controller for Micro Gas Turbine: Design and Simulation Validation by Rui Yang, Yongbao Liu, Xing He, Zhimeng Liu

“…To evaluate the performance changes of the gas turbine, we applied deep learning techniques to enhance the extreme learning machine (ELM) algorithm, resulting in the development of a high-precision, high-real-time deep extreme learning machine (DL_ELM) prediction model. …”
Get full text

National-scale mapping topsoil organic carbon of cropland in China using multitemporal Sentinel-2 images by Jie Xue, Xianglin Zhang, Songchao Chen, Zhongxing Chen, Rui Lu, Feng Liu, Bas van Wesemael, Zhou Shi

“…First, a new time-series bare soil extraction method, the Two-Dimensional Bare Soil Separation Algorithm, was applied, utilizing Sentinel-2 images from 2018 to 2022 to generate a continuous spectral reflectance composite. …”
Get full text

Balancing Innovation and Tradition: Real-Time, Interactive Learning with LightRAG and Dual-Factor PageRank by Sirisha Velampalli

“…This paper presents a groundbreaking approach to enhancing educational experiences by integrating dynamic QA systems and recommendation algorithms. …”
Get full text

PRINCIPLES OF PHASE-LOCKED LOOPS MATHEMATICAL MODELS CONSTRUCTION by M. P. Batura, A. P. Kuznetsov, L. Yu. Shilin, D. P. Kukin

Get full text

OPTIMAL ROUTING INFORMATION FLOWS WITHIN THE PARAMETERS OF QOS by N. I. Listopad, I. O. Velichkevich

Get full text

Signal processing of little elements monopulse direction finder in the conditions of strong interference using neural networks by S. V. Kozlov

Get full text

Cognitive Apprenticeship Strategies for the Media Literacy Classroom by Nate Floyd, Jaclyn Spraetz

“…., misinformation, climate change, algorithms, right-to-repair, blockchain, artificial intelligence, etc.), and create engagement-driven course content. …”
Get full text

Virtual Screening of Conjugated Polymers for Organic Photovoltaic Devices Using Support Vector Machines and Ensemble Learning by Fang-Chung Chen

“…We found that the power conversion efficiencies of the device prepared with the polymer candidates can be predicted with their structure fingerprints as the only inputs. …”
Get full text

Integrating Social Determinants of Health in Machine Learning–Driven Decision Support for Diabetes Case Management: Protocol for a Sequential Mixed Methods Study by Seung-Yup Lee, Leslie W Hayes, Bunyamin Ozaydin, Steven Howard, Alison M Garretson, Heather M Bradley, Andrew M Land, Erin W DeLaney, Amy O Pritchett, Amanda L Furr, Ashleigh Allgood, Matthew C Wyatt, Allyson G Hall, Jane C Banaszak-Holl

“…The paper presents a design for prediction validation and preimplementation assessment that uses a mixed methods approach to guide the implementation of the system. …”
Get full text

Hybrid GOA and PSO optimization for load frequency control in renewable multi source dual area power systems by Muhammad Zubair Yameen, Abdul Khalique Junejo, Zhigang Lu, Rizwan Aziz Siddiqui, Fayez F. M. El-Sousy, Ibtisam Naveed

“…Similarly, in the dual-area IPS, it provides a 76.73% reduction in overshoot, an 87.62% reduction in undershoot, and a 75.68% improvement in rise time. …”
Get full text

FEATURES OF THERAPEUTIC SUPPORT FOR PATIENTS WITH POLYTRAUMA by I.A. Mormol, O.A. Borzykh, I.P. Kaidashev

Get full text

Channel estimation method of massive MIMO-OFDM system based on adaptive compressed sensing by Yiyang HU, Lina QI

“…Massive multiple-input multiple-output (MIMO) is a solution for efficiently providing connection services for a variety of machine equipment in the Internet of things (IoT), and efficient connection services require accurate channel estimation.Aimed at the problems of high pilot overhead and poor performance of normalized mean square error (NMSE) estimation in downlink channel estimation of massive MIMO systems, based on the compressed sensing (CS) theory, the common sparsity of the channel space domain was combined while using the feature of lower sparsity of adjacent time slot differential channel impulse response (CIR), which leaded to a significant reduction in pilot overhead.In the reconstruction algorithm, a two-stage differential estimation algorithm, which divided the channel estimation in consecutive time slots with time correlation into two stages, was proposed and the idea of adaptive compressed sensing was combined to achieve fast and accurate CIR estimate.The simulation results show that the proposed two-stage differential channel estimation algorithm not only has a significant improvement in the estimated NMSE performance and data transmission rate compared to the existing CS-based multiple measurement vector (MMV) algorithm, but also show a certain reduction in runtime complexity.…”
Get full text

Cluster-based route convergence method based on network state graph model by PAN Chengsheng, LU Huangjie, SHI Huaifeng, WANG Yingzhi

“…Simulation results show that, in eight different network topologies and under different link damage conditions, OSPF-CSG achieves an average reduction of 82% in the total number of route convergences, a reduction in routing overhead by 70% on average, and an improvement in packet delivery rate by 60% on average compared to the traditional OSPF protocol’s route convergence algorithm.…”
Get full text

Double Panel Structure for Active Control of Noise Transmission by Leszek MORZYŃSKI, Grzegorz SZCZEPAŃSKI

“…A multichannel FxLMS algorithm with virtual error microphone technique is used as a control algorithm. …”
Get full text

Towards a shape-performance integrated digital twin for lumbar spine analysis [version 2; peer review: 2 approved, 1 not approved] by Wei Sun, Xueguan Song, Xiwang He, Xiaonan Lai, Yiming Qiu, Liming Shu, Zhonghai Li

“…Methods A finite element model (FEM) of the lumbar spine was firstly developed using computed tomography (CT) and constrained by the body movement which calculated by the inverse kinematics algorithm. The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time. …”
Get full text

Day-ahead photovoltaic power generation forecasting with the HWGC-WPD-LSTM hybrid model assisted by wavelet packet decomposition and improved similar day method by Ruxue Bai, Jinsong Li, Jinsong Liu, Yuetao Shi, Suoying He, Wei Wei

“…While deep learning algorithms have shown promise in energy applications, single algorithms often struggle with unstable predictions and limited generalizability for predicting photovoltaic (PV) output. …”
Get full text

Exploration of potential biomarkers and immune cell infiltration characteristics for peripheral atherosclerosis in sjögren’s syndrome based on comprehensive bioinformatics analysis... by Chunjiang Liu, Yuan Wang, Lina Zhou, Feifei Cai, Xiaoqi Tang, Liying Wang, Xiang Zhang

“…Subsequently, machine learning algorithms and protein-protein interaction (PPI) network analysis were employed to further investigate potential predictive genes. …”
Get full text

Unbalance Responses of Rotor/Stator Systems with Nonlinear Bearings by the Time Finite Element Method by D. Demailly, F. Thouverez, L. Jézéquel

“…The current trend is to take into account many kinds of non-linearities in order to obtain more realistic predictions. The use of algorithms based on nonlinear methods is therefore needed. …”
Get full text