Evaluation of PPG Feature Values Toward Biometric Authentication Against Presentation Attacks by Shun Hinatsu, Daisuke Suzuki, Hiroki Ishizuka, Sei Ikeda, Osamu Oshiro

“…We then assessed the feasibility of a PA based on existing PPG-based authentication algorithms and evaluated the contribution of each value to authentication and PA by computing the permutation importance of all feature values. …”
Get full text

"Proof-of-concept" evaluation of an automated sputum smear microscopy system for tuberculosis diagnosis. by James J Lewis, Violet N Chihota, Minty van der Meulen, P Bernard Fourie, Katherine L Fielding, Alison D Grant, Susan E Dorman, Gavin J Churchyard

Get full text

Design, Construction, and Evaluation of an Automatic Feeder Control System for Sugarcane Billet Planters by B. Abbasian, M. E. Khorasani Ferdavani, H. Zaki Dizaji

“…A separate assessment was carried out to compare manual cultivation with an automatic control method based on weight measurements using a load cell. This evaluation revealed significant differences (p < 0.01) in billet weight, the number of billets utilized, and one-sided gaps between the two methods. …”
Get full text

Novel risk stratification algorithm for estimating the risk of death in patients with relapsed multiple myeloma: external validation in a retrospective chart review by Roman Hájek, Sebastian Gonzalez-McQuire, Zsolt Szabo, Michel Delforge, Lucy DeCosta, Marc S Raab, Walter Bouwmeester, Marco Campioni, Andrew Briggs

“…The risk stratification algorithm’s ability to discriminate overall survival across four risk groups was evaluated using Kaplan-Meier curves and HRs.Results Consistent with the Czech registry, the stratification performance of the risk stratification algorithm demonstrated clear differentiation in risk of death between the four groups. …”
Get full text

Identification of key genes associated with oxidative stress in ischemic stroke via bioinformatics integrated analysis by Gaiyan Li, Yu Cheng, Shanshan Ding, Qianyun Zheng, Lanqiong Kuang, Ying Zhang, Ying Zhou

“…Subsequently, protein–protein interaction (PPI) network and machine learning algorithms were utilized to excavate feature genes. …”
Get full text

Identifying Strong Connectivity in Urban Road Networks Considering Traffic Constraints: An Analysis of Road Networks With Different Patterns by Ruru Xing, ZePeng Yang, Xinghua Zhang, Yiwen Liang, Tao Yang, Fei Wang

“…Secondly, combining the Floyd-Warshall algorithm and the depth-first search algorithm, we constructed a strong connectivity effective path search algorithm to adapt to the refined traffic management situation, and identified the key road sections that have the greatest impact on the connectivity of the road network by considering the maximum acceptable level of the path and the road access constraints. …”
Get full text

A requirements model for AI algorithms in functional safety-critical systems with an explainable self-enforcing network from a developer perspective by Klüver Christina, Greisbach Anneliesa, Kindermann Michael, Püttmann Bernd

“…This trend is further intensified by the fact that AI-based algorithms are finding their way into safety-related systems or will do so in the future. …”
Get full text

A Novel Voronoi-Driven Optimization Approach for Point-Based Sensor Network Deployment by Saeid Doodman, Mir-Abolfazl Mostafavi, Raja Sengupta, Ali Afghantoloee

“…In all cases, VOSDA was first used to estimate the required number of sensors, and RMSE was then calculated for both algorithms at that sensor count. Furthermore, in six out of nine different scenarios conducted across different benchmark heatmaps, VOSDA outperformed GA in achieving lower RMSE values. …”
Get full text

An Empirical Model-Based Algorithm for Removing Motion-Caused Artifacts in Motor Imagery EEG Data for Classification Using an Optimized CNN Model by Rajesh Kannan Megalingam, Kariparambil Sudheesh Sankardas, Sakthiprasad Kuttankulangara Manoharan

“…The conventional EEG enhancement algorithms are effective in removing ocular and muscle artifacts for a stationary subject but not as effective when the subject is in motion, e.g., a wheelchair user. …”
Get full text

Formal Verification of Multi-Thread Minimax Behavior Using mCRL2 in the Connect 4 by Diego Escobar, Jesus Insuasti

“…The parallel version of minimax distributes computations across multiple threads, with each thread evaluating different successor states concurrently. …”
Get full text

Exploring the effect of training set size and number of categories on ice crystal classification through a contrastive semi-supervised learning algorithm by Y. Chu, Y. Chu, H. Zhang, X. Li, J. Henneberger

“…In addition, previous deep learning algorithms for ice crystal classification are often trained and evaluated on datasets with varying sizes and classification schemes, each with distinct criteria and a different number of categories, making it difficult to make a fair comparison of algorithm performance. …”
Get full text

ICESat-2 Satellite LiDAR Bathymetry Extraction Algorithm Based on Cubic Function Fitting Prediction Interval Along Track Segments by Junyuan Chen, Yi Ma, Yang Jiang, Kun Jia, Aijun Cui, Xuechun Zhang, Shaohui Li, Jingyu Zhang

“…Compared with adaptive elevation difference thresholding algorithm, density-based spatial clustering of applications with noise, and ordering points to identify the clustering structure, the proposed algorithm exhibits the best denoising effect, and the extracted seafloor photons show good continuity without obvious noise photons.…”
Get full text

Performance Optimization and Comprehensive Analysis of Binary Nutcracker Optimization Algorithm: A Case Study of Feature Selection and Merkle–Hellman Knapsack Cryptosystem by Mohamed Abdel-Basset, Reda Mohamed, Ibrahim M. Hezam, Karam M. Sallam

“…In this paper, a binary variant of a novel nature-inspired metaheuristic algorithm called the nutcracker optimization algorithm (NOA) is presented for binary optimization problems. …”
Get full text

Machine-learning models for differentiating benign and malignant breast masses: Integrating automated breast volume scanning intra-tumoral, peri-tumoral features, and clinical info... by Meixue Dai, Yueqiong Yan, Zhong Li, Jidong Xiao

“…Background Differentiating between benign and malignant breast masses is critical for clinical decision-making. …”
Get full text

Application of a sEMG hand motion recognition method based on variational mode decomposition and ReliefF algorithm in rehabilitation medicine. by Yue Yuan

“…To efficiently extract the intrinsic components of the sEMG, the recognition performance of different numbers of VMFs is evaluated. Then, four features representing hand motion intentions are extracted from the VMFs to form the initial feature space. …”
Get full text

Investigation of the Effect of Upstream Slope and Bed Material on the Rate of Pollutant Release to Downstream Dams Using a Two-Phase SPH algorithm by Rahim Shamsoddini, Bahador Abolpour, Yi Zhao

Get full text

Comparative analysis of microwave indices for freeze/thaw state monitoring and adaptive thresholding implications by Zhicheng Yang, Tianjie Zhao, Qingfeng Wang, Lihua Peng, Youhua Ran, Yu Bai, Jingyao Zheng, Panpan Yao, Zhiqing Peng, Jinbiao Zhu, Xiaokang Kou, Yuei-An Liou, Jiancheng Shi

“…The evaluation was conducted across six soil moisture and temperature networks spanning the Tibetan Plateau (Maqu, Naqu, Pali, Shiquan River, SMN-WDL) and Inner Mongolian Plateau (SMN-SDR), utilizing both the Threshold - based Algorithm (TA) and Discriminant Function Algorithm (DFA). …”
Get full text

Implementation of a Flexible Real-Time Radar Architecture of Vital Signs Based on Cyclic Temporal Moment Algorithms Using SDR Technology by Fatima Sekak, Fouzia Elbahhar, Madjid Haddad

“…This study aims to evaluate and validate our signal processing solutions based on second-order cyclostationarity algorithms to distinguish cycle frequencies, using a low-cost universal software radio peripheral (USRP) SDR board. …”
Get full text

Repeatability and reproducibility of eight macular intra-retinal layer thicknesses determined by an automated segmentation algorithm using two SD-OCT instruments. by Xinting Liu, Meixiao Shen, Shenghai Huang, Lin Leng, Dexi Zhu, Fan Lu

“…<h4>Purpose</h4>To evaluate the repeatability, reproducibility, and agreement of thickness profile measurements of eight intra-retinal layers determined by an automated algorithm applied to optical coherence tomography (OCT) images from two different instruments.…”
Get full text

Simulation study on the urban-rural integration circulatory mechanism system in China: Based on system dynamics model and multi-objective genetic algorithm by Gaoyang Liang, Mingqiang Xing, Jianqiang Zhao

“…Existing academic research on China’s urban-rural integration lacks a comprehensive exploration that integrates “factors and pathways” while providing a dynamic depiction of how different driving forces influence the urban-rural integration process. …”
Get full text