An adaptive continuous threshold wavelet denoising method for LiDAR echo signal by Dezhi Zheng, Tianchi Qu, Chun Hu, Shijia Lu, Zhongxiang Li, Guanyu Yang, Xiaojun Yang

“…Simulation results show that the proposed algorithm has excellent performance in improving SNR and reducing root mean square error (RMSE) compared with other algorithms. …”
Get full text

Description of route dependencies for computer-based railway signalling systems by Michał Grzybowski, Jakub Młyńczak, Lucyna Sokołowska

“…In addition, during research algorithms for automatic verification of conflicting route exclusion correctness have been designed, which allows for reduction of effort required for verification of conflicting route exclusion function. …”
Get full text

Application of edge computing technology in smart grid data security by Zhuo Cheng, Jiangxin Li, Jianjun Zhang, Chen Wang, Hui Wang, Juyin Wu

“…The experimental results indicate that: The total running time required for executing proxy authorization and verification, proxy key generation, signature and decryption algorithms in this scheme is 5.617 ms, with a ciphertext length of 80 Bytes. …”
Get full text

Research on the Dynamic Modeling of Rigid–Flexible Composite Spacecraft Under Fixed Constraints Based on the ANCF by Jiaqi Wu, Guohua Kang, Junfeng Wu, Chuanxiao Xu, Jiayi Zhou, Xinyong Tao, Yinmiao Hua

“…MATLAB simulations demonstrate that the proposed dynamic model alleviates the dimensionality disaster caused by conventional algorithms, significantly reducing computation time. …”
Get full text

Optimizing Skin Quality via AI-Enhanced Physical Activity by Niki Tertipi, Eleni Sfyri, Vasiliki Sofia Grech, Vasiliki Kefala, Efstathios Rallis

“…Regular exercise has well-documented benefits for skin physiology, including enhanced microcirculation, improved collagen synthesis, oxidative stress reduction, and modulation of inflammatory pathways. …”
Get full text

On the role of diagnosis of prostate diseases at the outpatient appointment of a therapist by A. L. Kebina, A. S. Sycheva, A. L. Vertkin, G. Yu. Knorring

“…Identification of symptoms suspicious of malignant neoplasms using algorithmic approaches and subsequent consultation with the patient by a specialist urologist or oncologist should improve treatment outcomes.…”
Get full text

A reversible and robust hybrid image steganography framework using radon transform and integer lifting wavelet transform by B. M. El-den, Walid Raslan

“…High Normalized Correlation Coefficient (NCC) values close to 1 further confirm the algorithm’s reversibility and integrity, even under common attacks such as Gaussian Noise, Poisson Noise, Blurring, and Cropping. …”
Get full text

Robotic Tack Welding Path and Trajectory Optimization Using an LF-IWOA by Bingqi Jia, Haihong Pan, Lei Zhang, Yifan Yang, Huaxin Chen, Lin Chen

“…For Workpiece 1, the algorithm reduces the welding path by up to 25.53% compared to the genetic algorithm, with an average reduction of 14.82% across benchmarks. …”
Get full text

Spot Image Segmentation of Lifting Container Vibration Based on Improved Threshold Method and Mathematical Morphology by Tian-Bing Ma, Qiang Wu, Fei Du, Wei-Kang Hu, Yong-Jing Ding

“…We used MCE to evaluate the segmentation effect of threshold segmentation and verified the improved algorithm’s accuracy by detecting the pixel centroid of laser spots. …”
Get full text

Improving Localization in Wireless Sensor Networks for the Internet of Things Using Data Replication-Based Deep Neural Networks by Jehan Esheh, Sofiene Affes

“…The proposed DAS replicates the estimated positions of unknown nodes generated by the Dv-hop algorithm and introduces Gaussian noise to these replicated positions, creating multiple modified datasets. …”
Get full text

Classification of Lung Nodule Using Hybridized Deep Feature Technique by Malin Bruntha, Immanuel Alex Pandian, Siril Sam Abraham

“…The machine learning algorithms such as SVM and Logistic Regression have been used to classify the nodules based on the features. …”
Get full text

Exploring trans-regional harvesting operation patterns based on multi-scale spatiotemporal partition using GNSS trajectory data by Daoye Zhu, Boyong Xiao, Haoling Xie, Dong Li, Haitong He, Weixin Zhai

“…By designing multiscale grids and temporal partitions, we efficiently processed high-dimensional trajectory data by employing t-SNE and K-means++ algorithms for dimensionality reduction and clustering, and the visualization validated the clustering effectiveness. …”
Get full text

Magnitude Comparison and Sign Detection based on the 4-Moduli Set {2n+1, 2nâ1, 2n+3, 2nâ3} by Mohsen Mojahed, Amir Sabbagh, Azadeh Emrani

“…Besides, the proposed signed reverse converter relies on a 46% and 28% reduction in area and delay compared to the previous unsigned reverse converter which uses a comparator and also a multiplexer to detect a sign in the output.…”
Get full text

In Infants with Neuroblastoma Standard Therapy Only Partially Reverts the Fecal Microbiome Dysbiosis Present at Diagnosis by Maria Valeria Corrias, Eddi Di Marco, Carola Bonaretti, Margherita Squillario, Loredana Amoroso, Massimo Conte, Mirco Ponzoni, Roberto Biassoni

“…By applying several algorithms to 16S sequencing, we found that the fecal microbiomes of infants with NB at onset were abundant in <i>Pseudomonadota</i>, including different descendants of <i>Gammaproteobacteria.…”
Get full text

Multi-Scale Contextual Coding for Human-Machine Vision of Volumetric Medical Images by Jietao Chen, Weijie Chen, Qianjian Xing, Feng Yu

“…Different from the existing 3D convolutional compression algorithms oriented only for human vision, this paper proposes a Multi-scale Contextual Autoencoder (MCAE) architecture that recurrently incorporates anatomical inter-slice context to optimize the compression of the current slice for both human and machine vision. …”
Get full text

Noise Removal in Single-Lead Capacitive ECG With Adaptive Filtering and Singular Value Decomposition by Kaichen Wang, Cathy Tu, Chi Man Qian, Runwei Lin, David Doyle, Yujiro Fujiwara, Junhong Wang

“…An adaptive canceller and an innovative singular value decomposition (SVD) algorithm were applied to single-lead cECG for noise reduction. …”
Get full text

Enhanced variable step sizes perturb and observe MPPT control to reduce energy loss in photovoltaic systems by Abdelkadir Belhadj Djilali, Elhadj Bounadja, Adil Yahdou, Habib Benbouhenni, Z. M. S. Elbarbary, Ilhami Colak, Saad F. Al-Gahtani

“…Compared to traditional algorithms, the proposed approach reduces response time and undershoots by 30%, demonstrating superior reliability and performance. …”
Get full text

Improved YOLO for long range detection of small drones by Sicheng Zhou, Lei Yang, Huiting Liu, Chongqin Zhou, Jiacheng Liu, Yang Wang, Shuai Zhao, Keyi Wang

“…Additionally, deep learning algorithms often demand substantial computational resources, limiting their use on low-capacity platforms. …”
Get full text

IntelliGrid AI: A Blockchain and Deep-Learning Framework for Optimized Home Energy Management with V2H and H2V Integration by Sami Binyamin, Sami Ben Slama

“…The core of IntelliGrid AI is an advanced Q-learning algorithm that intelligently allocates energy resources. …”
Get full text

Efficient vision transformers with edge enhancement for robust small target detection in drone-based remote sensing by Xuguang Zhu, Zhizhao Zhang

“…Experimental results demonstrate the algorithm’s superior performance in UAV remote sensing applications such as crop disease monitoring and traffic congestion detection, offering an efficient solution for real-time edge-device deployment.…”
Get full text