A Multifrequency Seamless Dual-Link Handover Scheme Based on Beamforming for High-Speed Railway by Suoping Li, Ke Wang, Jaafar Gaber, Sa Yang, Wenwu Liang

Get full text

Rapid calculation scheme for electricity quantity and green certificate allocation considering demand response within the municipal scope by FAN Qiannan, WANG Zhongrong, YU Liya, LIANG Xiaohang, BAO Jie, LIU Shuyong

“…This paper focuses on the day-ahead allocation scenario of electricity quantity and certificates considering demand response within the municipal scope, constructs a leader-follower game model, and solves it through the Kriging model surrogate optimization method. Compared with direct solution methods, this algorithm can reduce computational requirements, improve calculation speed, and achieve precise allocation of electricity quantity and certificates among different regions with corresponding green certificate proportions. …”
Get full text

Robust Analysis and Parameters Identification of the Nonlinear Multistage Dynamical System in Batch Fermentation of Glycerol by Xu Zhang, Xinying Wang, Enmin Feng, Zhilong Xiu

“…Then we establish a parameter identification model and construct the particle swarm optimization algorithm to solve it. Finally, the numerical result shows that the improved model could describe the glycerol fermentation in batch culture well.…”
Get full text

Stegan detection method for latent images for intellectual property protection systems by F. B. Tebueva, M. G. Ogur, I. V. Mandritsa, A. B. Chernyshev, G. I. Linets, V. P. Mochalov

“…The method is based on the use of the VGG16 convolutional neural network model, in which the architecture and training parameters are optimized. Result. Increasing the accuracy of detecting stegocontainer images by 3.8%, as well as the possibility of using the algorithm of the developed method for images with a higher resolution than the dimension of the input of an artificial neural network. …”
Get full text

Intelligent routing for human activity recognition in wireless body area networks by Enas Selem Elmosallamy, Mohammed F. Soliman

Get full text

Application of data twinning based on deep time series model in smart city traffic flow prediction by Li Gao

Get full text

Efficient automated detection of power quality disturbances using nonsubsampled contourlet transform & PCA-SVM by Pampa Sinha, Kaushik Paul, Asit Mohanty, IM Elzein, Chandra Sekhar Mishra, Mohamed Metwally Mahmoud, Daniel Eutyche Mbadjoun Wapet, Abdulrahman Al Ayidh, Ahmed Althobaiti, Hany S Hussein, Thamer AH Alghamdi, Ahmed M Ewais

“…Morphological component analysis (MCA) and the split-augmented Lagrangian shrinkage algorithm (SALSA) optimize this process. Principal component analysis (PCA) is applied to the extracted features to reduce dimensionality and improve feature separability. …”
Get full text

Two-Layer Intelligent Learning Control Using Output Recurrent Fuzzy Neural Long Short-Term Memory Broad Learning System With RMSprop by Ali Rospawan, Ching-Chih Tsai, Chi-Chih Hung

“…The second layer implements an intelligent adaptive controller based on the ORFNLSTM-BLS, which dynamically adjusts control actions for time-varying setpoint tracking and disturbance rejection. The RMSprop optimization algorithm is applied across both layers to adaptively regulate learning rates, ensuring faster convergence and mitigating gradient issues. …”
Get full text

Hyperparameter tuned deep learning-driven medical image analysis for intracranial hemorrhage detection. by Naif Almakayeel, E Laxmi Lydia, Oleg Razzhivin, S Rama Sree, Mohammed Altaf Ahmed, Bibhuti Bhusan Dash, S P Siddique Ibrahim

“…Lastly, the Bayesian optimizer algorithm (BOA) is implemented for the hyperparameter selection of the DL technique. …”
Get full text

Heuristic Binary Search for Modulated Predictive Control by Rafael FIgueiredo, Igor Oliani, Angelo Lunardi, Alfeu J. Sguarezi Filho

“…Predictive Control optimization often relies on exhaustive enumeration of voltage vectors within the finite control set. …”
Get full text

A lightweight YOLO network using temporal features for high-resolution sonar segmentation by Sen Gao, Sen Gao, Wei Guo, Wei Guo, Gaofei Xu, Gaofei Xu, Ben Liu, Ben Liu, Yu Sun, Bo Yuan

“…Future work will focus on optimizing the keyframe selection algorithm and expanding the dataset to include more complex underwater scenarios.…”
Get full text

Microscopic stress-constrained two-scale topology optimisation for additive manufacturing by Xiaopeng Zhang, Zheng Ni, Akihiro Takezawa, Yaguang Wang, Zhan Kang

Get full text

Full lifecycle security management scheme for terminal keys under power IoT by Wang Hui, Yuan Jiahui, Shi Zhentong, Fang Mu

“…The performance analysis shows that compared to the traditional access authentication and key management scheme based on logical key hierarchy, the scheme of this paper optimizes the terminal computation, reduces the computational overhead and simplifies the key update process. …”
Get full text

Dynamic characteristics study of composite base plate: numerical simulation, processing technology research and modal analysis by Fengfeng Wang, Guolai Yang, Lei Li, Xingxing Chang

“…The subspace method serves as the solution algorithm for the eigenvalue problem, which enables the computation of the modes of the composite base plate. …”
Get full text

SHASI-ML: a machine learning-based approach for immunogenicity prediction in Salmonella vaccine development by Ottavia Spiga, Ottavia Spiga, Ottavia Spiga, Anna Visibelli, Francesco Pettini, Bianca Roncaglia, Annalisa Santucci, Annalisa Santucci, Annalisa Santucci

“…The Extreme Gradient Boosting (XGBoost) algorithm was employed for model development and optimization.ResultsSHASI-ML demonstrated robust performance in identifying bacterial immunogens, achieving 89.3% precision and 91.2% specificity. …”
Get full text

Last-Train Timetabling under Transfer Demand Uncertainty: Mean-Variance Model and Heuristic Solution by Shuo Yang, Kai Yang, Ziyou Gao, Lixing Yang, Jungang Shi

“…Through computational experiments involving the Beijing subway system, we demonstrate the computational efficiency of the proposed MV model and the heuristic approach.…”
Get full text

Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems by Qiang Miao, Thomas Barthel

“…Hence, the Trotterized MERA VQE is a promising route for the efficient investigation of strongly-correlated quantum many-body systems on quantum computers. Furthermore, we show how the convergence can be substantially improved by building up the MERA layer by layer in the initialization stage and by scanning through the phase diagram during optimization. …”
Get full text

DeepDTAGen: a multitask deep learning framework for drug-target affinity prediction and target-aware drugs generation by Pir Masoom Shah, Huimin Zhu, Zhangli Lu, Kaili Wang, Jing Tang, Min Li

Get full text

Invariant set theory for predicting potential failure of antibiotic cycling by Alejandro Anderson, Matthew W. Kinahan, Alejandro H. Gonzalez, Klas Udekwu, Esteban A. Hernandez-Vargas

“…Consequently, we propose a computational algorithm to identify effective sequential therapies to counter antibiotic resistance. …”
Get full text

SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images by Chichun Yang, Daisuke Komura, Mieko Ochi, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa

“…In addition, SegRep utilizes a self-supervised learning algorithm to achieve optimized segment representation. …”
Get full text