Research on Automatic Train Operation System Based on Fuzzy Adaptive PID Algorithm by ZHOU Ruilin, LEI Chengjian, LIU Ze, SU Huiliang

“…Based on the data from Changsha Rail Transit Line 4, the semi-physical simulation results show that the proposed algorithm resulted in the average root-mean-square error (RMSE) of 18.876 cm/s between the actual train speed and the recommended speed, which is less than the 35.200 cm/s of the traditional PID controller and the value of fitting degree is 1.69 m/s between travel speed and the recommended speed, which is less than the 2.25 m/s of the traditional PID controller, suggesting that the proposed algorithm offers a more effective solution for tracking the recommended speed curves and improving system operation efficiency.…”
Get full text

A range spread target detection algorithm based on polarimetric features and SVDD by Qiang LI, Yuanxin YAO, Xiangqi KONG

“…Multi-polarization range high resolution radar is an important mean for ground target detection.In the echo formed by it, the target occupies multiple range cells and becomes an extended target.The traditional spread target detection method relies on energy, and the detection performance decreases when the signal-to-clutter ratio decreases.A spread target detection algorithm based on polarization decomposition features was proposed, which improved the detection performance under low signal-to-clutter ratio by using the difference of polarization scattering characteristics between target and clutter.Specifically, 16 kinds of polarization decomposition features were extracted to form feature vectors as detection statistics, and then support vector data description (SVDD) was used to obtain the detection threshold.When training the detection threshold, the polarization decomposition features of clutter were extracted as training data.In order to ensure the false alarm probability, two penalty parameters were introduced into the objective function of SVDD.The experimental results show that the proposed method requires a signal-to-clutter ratio of about 12.6 dB in the case of Gobi background, false alarm probability of 10^-4 and detection probability of 90%, which is about 1.7 dB lower than the energy-based methods.…”
Get full text

A New Bootstrap Based Algorithm for Hotelling’s T2 Multivariate Control Chart by A. Mostajeran, N. Iranpanah, R. Noorossana

“…The latter case is obtained when the process mean is subject to sustained shifts. Numerical results indicate that the proposed algorithm performs better than the above mentioned methods. …”
Get full text

Pattern Nulling of Linear Antenna Arrays Using Backtracking Search Optimization Algorithm by Kerim Guney, Ali Durmus

“…The results obtained by BSA are compared with the results of the following seventeen algorithms: particle swarm optimization (PSO), genetic algorithm (GA), modified touring ant colony algorithm (MTACO), quadratic programming method (QPM), bacterial foraging algorithm (BFA), bees algorithm (BA), clonal selection algorithm (CLONALG), plant growth simulation algorithm (PGSA), tabu search algorithm (TSA), memetic algorithm (MA), nondominated sorting GA-2 (NSGA-2), multiobjective differential evolution (MODE), decomposition with differential evolution (MOEA/D-DE), comprehensive learning PSO (CLPSO), harmony search algorithm (HSA), seeker optimization algorithm (SOA), and mean variance mapping optimization (MVMO). …”
Get full text

A Computationally Efficient Iterative Algorithm for Estimating the Parameter of Chirp Signal Model by Jiawen Bian, Jing Xing, Zhihui Liu, Lihua Fu, Hongwei Li

“…It is observed that the estimator for the iterative algorithm is consistent and works quite well in terms of biases and mean squared errors. …”
Get full text

Automated identification of sedimentary structures in core images using object detection algorithms. by Ammar J Abdlmutalib, Korhan Ayranci, Umair Bin Waheed, Hamad D Alhajri, James A MacEachern, Mohammed N Al-Khabbaz

Get full text

Multi-scale Segformer: image segmentation algorithm for electric vehicles in fire accident by Mengqi Lei, Xin Wang

Get full text

YOLO-BS: a traffic sign detection algorithm based on YOLOv8 by Hong Zhang, Mingyin Liang, Yufeng Wang

“…This algorithm addresses the challenges of complex backgrounds and small-sized detection targets in traffic sign images. …”
Get full text

Highway Traffic Flow Prediction Algorithm Based on Multiscale Transformation and Convolutional Networks by Yuzhu Luo, Jiarong Wang, Ming Wei

“…The results are as follows: after using the author’s algorithm, the processing time increases by 1.5 seconds, but the average percentage of errors decreases by more than 50%, in fact the error and the root mean square error decreased by about 30%, and the smoothing coefficient increased by about 1%. …”
Get full text

Electronic Information Signal Recognition Based on a Stochastic Neural Network Algorithm by Jiaye Wang

“…The accuracy of the algorithm model proposed in this paper is higher than that of the SCN model. …”
Get full text

Training of the feed-forward artificial neural networks using butterfly optimization algorithm by Şaban Gülcü, Büşra Irmak

“…In the experiments, the BOA-MLP algorithm was compared with the BAT-MLP, SMS-MLP and BP algorithms. …”
Get full text

A New Algorithm for Detecting X-Ray Shots in Cyg X-1 by Jin Qin, Hua Feng, Lian Tao

“…Compared with previous techniques, our algorithm allows us to detect shots with lower amplitudes and shorter time separations. …”
Get full text

Intelligent analysis algorithm for power engineering data based on improved BiLSTM by Yuanyuan Xu, Jiapeng Yang, Xin Cai

“…Experimental results show that in load forecasting, the mean square errors of the improved BiLSTM in summer and winter are 0.02 and 0.025 respectively, and R2 are 0.985 and 0.982 respectively. …”
Get full text

Assessment and Validation of a Computer Vision Algorithm for Wildfire Rate of Spread Estimation by Ehsan Ameri, Kyle Awayan, Jeanette Cobian-Iñiguez

“…In the first, the experiments were conducted in an environment where the flame was maintained visually undisturbed while in the second, real-world scenarios were simulated with visual obstructions. Algorithm performance evaluation was conducted by computing the index of agreement and normalized root mean square deviation (NRMSD) error. …”
Get full text

LC oscillator frequency prediction using machine learning linear regression algorithm by Mandar Jatkar, Vasudeva G, Tripti R. Kulkarni, Roopa R. Kulkarni, Aneesh Pandurangi

Get full text

A Context-Aware Doorway Alignment and Depth Estimation Algorithm for Assistive Wheelchairs by Shanelle Tennekoon, Nushara Wedasingha, Anuradhi Welhenge, Nimsiri Abhayasinghe, Iain Murray

“…These challenges highlight a pressing need for intelligent doorway detection algorithm for assistive wheelchairs that go beyond traditional object detection. …”
Get full text

An Improved YOLOv7-Tiny-Based Algorithm for Wafer Surface Defect Detection by Mengyun Li, Xueying Wang, Hongtao Zhang, Xiaofeng Hu

“…Experiments conducted on a self-constructed dataset show that the improved algorithm achieved a mean Average Precision (mAP) of 90.1%, representing a 3.2% increase over the original algorithm. …”
Get full text

Clinical and immunological biomarkers in hypereosinophilic syndrome: the second step after diagnostic algorithms by David Longhino, Ilaria Baglivo, Maria Antonietta Zavarella, Stefania Colantuono, Chiara Laface, Gabriele Lucca, Laura Bruno, Fabio Romano Selvi, Vincenzo Patella, Aikaterini Detoraki, Rosa Buonagura, Caterina Tatarelli, Barbara Moscatelli, Serena D’Avelli, Elisabetta Abruzzese, Elisabetta Greco, Antonio Gasbarrini, Livio Pagano, Marianna Criscuolo, Sabrina Giammarco, Cristiano Caruso

Get full text

Modeling and Optimization of Concrete Mixtures Using Machine Learning Estimators and Genetic Algorithms by Ana I. Oviedo, Jorge M. Londoño, John F. Vargas, Carolina Zuluaga, Ana Gómez

“…This study presents a methodology to optimize concrete mixtures by integrating machine learning (ML) and genetic algorithms. ML models are used to predict compressive strength, while genetic algorithms optimize the mixture cost under quality constraints. …”
Get full text

Real-Time Recognition and Localization of Kiwifruit Based on Improved YOLOv5s Algorithm by Jin-Sui Dai, Zhi-Qin He

“…This study proposes a real-time Kiwifruit recognition and localization method based on an enhanced YOLOv5s algorithm combined with binocular vision technology. …”
Get full text