An Adaptive Image Inpainting Method Based on Continued Fractions Interpolation by Lei He, Yan Xing, Kangxiong Xia, Jieqing Tan

“…In view of the drawback of most image inpainting algorithms by which texture was not prominent, an adaptive inpainting algorithm based on continued fractions was proposed in this paper. …”
Get full text

Clinical Rehabilitation Nursing of Patients with Chronic Obstructive Pulmonary Disease Based on Intelligent Medicine by Lingyan Zhao, Liyan Chu

“…This paper first introduced the intelligent medical system, analyzed the clinical rehabilitation nursing of COPD patients, established the SCNet model suitable for this paper, and then used statistical algorithms to carry out the meta dynamic analysis of the clinical rehabilitation nursing for COPD patients. …”
Get full text

Multiagent Routing Simulation with Partial Smart Vehicles Penetration by Bogumił Kamiński, Łukasz Kraiński, Atefeh Mashatan, Paweł Prałat, Przemysław Szufel

“…The smart car routing algorithm proposed in this paper reduced travelling time up to 30%. …”
Get full text

On Particle Swarm Optimization for MIMO Channel Estimation by Christopher Knievel, Peter Adam Hoeher

“…Evolutionary algorithms, in particular particle swarm optimization (PSO), have recently received much attention. …”
Get full text

Automatic Capture Processing Method of Basketball Shooting Trajectory Based on Background Elimination Technology by Hongyan Fan, Youhong Hu, Jianfeng Zhang

“…The traditional automatic basketball shooting trajectory capture algorithm has a low capture accuracy and a long capture time, and thus is incapable of displaying the shooting trajectory in real time. …”
Get full text

A New Chaotic System with Only Nonhyperbolic Equilibrium Points: Dynamics and Its Engineering Application by Maryam Zolfaghari-Nejad, Mostafa Charmi, Hossein Hassanpoor

“…Finally, chaos-based encoding/decoding algorithms for secure data transmission are developed by designing a state chain diagram, which indicates the applicability of the new chaotic system.…”
Get full text

Optimization of the UWB Feed Antenna Position in Reflector Applications by Nurhan Türker Tokan

“…An automatic and fast design procedure, based on Genetic Algorithms, is described. The proposed methodology has been numerically and experimentally assessed. …”
Get full text

MEVDT: Multi-modal event-based vehicle detection and tracking datasetDeep Blue Data by Zaid A. El Shair, Samir A. Rawashdeh

“…Designed to advance the research in the domain of event-based vision, MEVDT aims to address the critical need for high-quality, real-world annotated datasets that enable the development and evaluation of object detection and tracking algorithms in automotive environments.…”
Get full text

Advancements in Image Classification: From Machine Learning to Deep Learning by Cheng Haoran

“…This paper systematically reviews the growth of image classification technology, beginning with the introduction of commonly used datasets such as CIFAR-10, ImageNet, and MNIST, and exploring their impact on algorithm development. Subsequently, the paper provides an in-depth analysis of image classification methods based on machine learning, including traditional algorithms such as Support Vector Machine (SVM), Random Forest, and Decision Tree. …”
Get full text

Artificial Intelligence and Physics-Based Anomaly Detection in the Smart Grid: A Survey by Giovanni Battista Gaggero, Paola Girdinio, Mario Marchese

“…This work systematically examines the current state of research, evaluating the investigated use cases, the algorithms, the performances and the validation of the papers, identifying key gaps, and offering insights for advancing in this research field.…”
Get full text

Advanced Harmony Search with Ant Colony Optimization for Solving the Traveling Salesman Problem by Ho-Yoeng Yun, Suk-Jae Jeong, Kyung-Sup Kim

“…Experiments were performed to validate the efficiency of our algorithm through a comparison with other algorithms and the optimum solutions presented in the TSPLIB. …”
Get full text

Suboptimal Greedy Power Allocation Schemes for Discrete Bit Loading by Waleed Al-Hanafy, Stephan Weiss

“…Two of the proposed algorithms can achieve near optimal performance including a transfer of residual power between subsets at the expense of a very small extra cost. …”
Get full text

Scheduling on a Single Machine and Parallel Machines with Batch Deliveries and Potential Disruption by Hua Gong, Yuyan Zhang, Puyu Yuan

“…For the corresponding single-machine and parallel-machine scheduling problems, pseudo-polynomial-time algorithms and fully polynomial-time approximation schemes (FPTASs) are presented in this paper, respectively.…”
Get full text

Presentation of Machine Learning Approaches for Predicting the Severity of Accidents to Propose the Safety Solutions on Rural Roads by Mohammad Habibzadeh, Mahmoud Ameri, Hassan Ziari, Neda Kamboozia, Seyede Mojde Sadat Haghighi

“…In this regard, using accident data from 2017 to 2020, the machine learning algorithms, including multiple logistic regression, multilayer perceptron neural network (MLPNN), and radial basis function neural network (RBFNN) models, as well as statistical methods, including Kolmogorov–Smirnov test, Friedman test, and factor analysis, were implemented to determine the contributory factors in the severity of accidents. …”
Get full text

Main-Branch Structure Iterative Detection Using Approximate Message Passing for Uplink Large-Scale Multiuser MIMO Systems by Qifeng Zou, Xuezhi Tan, Mei Liu, Lin Ma

“…In this paper, we introduce an iterative detection algorithm for uplink large-scale multiuser MIMO-OFDM communication systems. …”
Get full text

Delay-Sensitive Multi-Sensor Routing Scheduling Method for Underground IoT in Mines by Yinghui Zhang, Mingli Liu, Aiping Tan

“…Secondly, the corresponding solving algorithms are designed based on the greedy strategy and the heuristic strategy. …”
Get full text

Global decline in net primary production underestimated by climate models by Thomas J. Ryan-Keogh, Alessandro Tagliabue, Sandy J. Thomalla

“…Here we use contemporary remote sensing net primary production trends (1998–2023) from six remote sensing algorithms to discriminate amongst fifteen divergent model projections. …”
Get full text

Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD by Dongying Han, Xiao Su, Peiming Shi

“…The experimental analysis of the rolling bearing inner ring fault and gear fault diagnosis demonstrate that the proposed method can not only enhance signal amplitude, reduce false components, and improve the VMD algorithm’s accuracy, but also effectively detect weak multifrequency signals submerged by noise.…”
Get full text

A model study of teaching method reform of computer laboratory course integrating internet of things technology. by Xiao Zhou, Ledan Qian, Haider Aziz, Marvin White

“…Specifically, this research first proposed an IoT service-based face capture algorithm to optimize the accuracy of face recognition. …”
Get full text

Exponential Fields Formulation for WMR Navigation by Edgar A. Martínez-García, Rafael Torres-Cordoba

“…In this manuscript, an autonomous navigation algorithm for wheeled mobile robots (WMR) operating in dynamic environments (indoors or structured outdoors) is formulated. …”
Get full text