Improvement of Network Traffic Prediction in Beyond 5G Network using Sparse Decomposition and BiLSTM Neural Network by Rihab Abdullah Jaber Al Hamadani, Mahdi Mosleh, Ali Hashim Abbas Al-Sallami, Rasool Sadeghi

“…Next, sparse feature extraction is performed using Discrete Wavelet Transform (DWT), and a sparse matrix is constructed. A Genetic Algorithm (GA) is used to optimize the sparse matrix, which effectively selects the most significant features for prediction. …”
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Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Subsequently, the Sparrow Optimization Algorithm (SSA) is applied to optimize the hyperparameters of the ResNet50 model, which is trained on DGA data as the teacher model. …”
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Fairness-Aware Utility Maximization for Multi-UAV-Aided Terrestrial Networks by Nishant Gupta, Satyam Agarwal, Aymen Fakhreddine

“…In the first stage, we propose a heuristic solution by using the clustering algorithm to determine the initial ABS locations and user scheduling while ignoring the co-channel interference. …”
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A 3D acid fracturing design calibrated to describe the productivity index in several southwestern Iranian oil fields by Mohammad Mirhashemi, Kaveh Ahangari, Ali Naghi Dehghan, Kamran Goshtasbi

“…By assessing these input parameters, the study aims to optimize the conditions under which acid fracturing can be most effective. …”
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Improving parking availability prediction in smart cities with IoT and ensemble-based model by Stéphane Cédric Koumetio Tekouabou, El Arbi Abdellaoui Alaoui, Walid Cherif, Hassan Silkan

“…The tests that we carried out on the Birmingham parking data set allowed to reach a Mean Absolute Error (MAE) of 0.06% on average with the algorithm of Bagging Regression (BR). This results have thus improved the best existing performance by over 6.6% while dramatically reducing system complexity.…”
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Fourier Analysis of CMFD Method in Cylindrical Geometry by WEN Yuchen, HAO Chen, WANG Yizhen

“…The coarse mesh finite difference (CMFD) method has been widely adopted as an acceleration algorithm for neutron transport calculations, effectively reducing computational costs and improving convergence. …”

Robust Drone Video Analysis for Occluded Urban Traffic Monitoring Based on Deep Learning by Carlos Gellida-Coutino, Reyes Rios-Cabrera, Alan Maldonado-Ramirez, Anand Sanchez-Orta

“…Urban traffic management (UTM) relies on accurate vehicular flow data to optimize infrastructure and reduce congestion. However, existing video-based methods struggle with occlusions and complex trajectories in multi-directional intersections, limiting their applicability. …”
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Three-Dimensional Imaging of High-Contrast Subsurface Anomalies: Composite Model-Constrained Dual-Parameter Full-Waveform Inversion for GPR by Siyuan Ding, Deshan Feng, Xun Wang, Tianxiao Yu, Shuo Liu, Mengchen Yang

“…Numerical experiments show that TV regularization can optimize permittivity reconstruction, while MSG regularization is more suitable for conductivity inversion. …”
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Delphi consensus statement for the management of delayed post-polypectomy bleeding by Enrique Rodríguez de Santiago, Sandra Pérez de la Iglesia, Diego de Frutos, José Carlos Marín-Gabriel, Carolina Mangas-SanJuan, Raúl Honrubia López, Hugo Uchima, Marta Aicart-Ramos, Miguel Ángel Rodríguez Gandía, Eduardo Valdivielso Cortázar, Felipe Ramos Zabala, Marco Antonio Álvarez, Marina Solano Sánchez, Jesús Manuel González Santiago, Eduardo Albéniz, Gonzalo Hijos-Mallada, Nerea Castro Quismondo, Miguel Fraile-López, David Martínez Ares, Javier Tejedor-Tejada, Luis Hernández, Joan B. Gornals, Sergi Quintana-Carbo, Juan Ocaña, João A. Cunha Neves, Juan Martínez Martínez, María López-Cerón Pinilla, Carlos Dolz Abadía, María Pellisé

“…These recommendations aim to improve patient outcomes and optimize healthcare resources while fostering a standardized approach to this common adverse event.…”
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Federated learning with integrated attention multiscale model for brain tumor segmentation by Sherly Alphonse, Fidal Mathew, K. Dhanush, V. Dinesh

“…While comparing the developed model with the other existing methods, the proposed methodology shows better performance.…”
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InvMOE: MOEs Based Invariant Representation Learning for Fault Detection in Converter Stations by Hao Sun, Shaosen Li, Hao Li, Jianxiang Huang, Zhuqiao Qiao, Jialei Wang, Xincui Tian

“…To overcome these issues, we propose InvMOE, a novel fault detection algorithm with two core components: (1) invariant representation learning, which captures task-relevant features and mitigates background noise interference, and (2) multi-task training using a mixture of experts (MOE) framework to adaptively optimize feature learning across tasks and address label sparsity. …”
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Oilfield Production Prediction Method Based on Multi-Input CNN-LSTM With Attention Mechanism by Lihui Tang, Zhenpeng Wang, Yajun Gao, Hao Wu, Wenbo Zhang, Xiaoqing Xie

“…Additionally, to quantify the impact of different input features on production, we adopt a random forest algorithm to assess feature importance and optimize data input through assigned weights. …”
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Reversible Adversarial Examples with Minimalist Evolution for Recognition Control in Computer Vision by Shilong Yang, Lu Leng, Ching-Chun Chang, Chin-Chen Chang

“…To achieve zero-bit error restoration, we utilize the differential evolution algorithm to optimize adversarial perturbations while minimizing distortion. …”
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2^nd^ Swiss Vasopressin Consensus: Vasopressin in Septic Shock and other Vasodilatory States by Karim Bendjelid, Tiziano Cassina, Luca Cioccari, Gabor Erdoes, Raymond Friolet, Lucas Liaudet, Peter Steiger, Martin Siegemund

“…A structured treatment algorithm for the early use of vasopressin -- before the onset of catecholamine-refractory shock -- is presented. …”
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Assessing the Impact of Climate Change on Winter Wheat Production in the North China Plain from 1980 to 2020 by Jinhui Zheng, Shuai Zhang

“…These findings highlight the need for temperature-focused management strategies and region-specific approaches to optimize wheat yields and ensure sustainable production under climate change.…”
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Zero-shot classification with multi-model information interaction and its application in Mars exploration scenarios by TAN Xiaomeng, XI Bobo, XUE Changbin, LI Yunsong

“…To address the issue that traditional Mars image classification methods based on images do not perform well in the face of the complex and unknown environment of Mars and the frequent occurrence of unseen categories, a zero-shot classification algorithm of multi-modal information interaction was studied and the migration and optimization of the algorithm to the field of deep space exploration was explored. …”
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Design of the DETECT project: automated cardiac arrest detection and activation of the emergency medical chain integrated into a wristband by Roos Edgar, Kambiz Ebrahimkheil, Niels T.B. Scholte, Catharina E. Jansen, Rypko J. Beukema, Marc A. Brouwer, Eelko Ronner, Aysun Cetinyurek-Yavuz, Marit van Barreveld, Marcel G.W. Dijkgraaf, Peter C. Stas, Eric Boersma, Niels van Royen, Judith L. Bonnes

“…To optimize cardiac arrest detection, DETECT-2 is set out to develop an algorithm for detection of sudden falls mimicking cardiac arrest-related collapses using accelerometry data (n = 20). …”
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Predicting iron contents in the Tamra-Douahria mining site using a deep neural network approach by Zohra Kraiem, Fathi Maalaoui, Salah Bouhlel, Chaouki Sadik, Ali Sdiri

“…Out of 357, 285 data sets were selected for training the algorithm while 72 data points were used for model testing and validation. …”
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AGEN: Adaptive Error Control-Driven Cross-View Geo-Localization Under Extreme Weather Conditions by Mengmeng Xu, Hongxiang Lv, Hai Zhu, Enlai Dong, Fei Wu

“…Inspired by the strengths of the DINOv2 network, particularly its strong performance in global feature extraction, while acknowledging its limitations in capturing fine-grained details, we integrate the DINOv2 network with the Local Pattern Network (LPN) algorithm module to extract valuable classification features more efficiently. …”
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3D Voxel-based Collaborative Path Planning for UAVs in Urban Emergency Response by Z. Wu, Z. Wang, W. Xie, Z. Lin, Y. Wu, Y. Mo

“…For local coverage, an improved Boustrophedon Cell Decomposition (BCD) algorithm is introduced, tailored for UAV operations, while global coverage is addressed through a multi-traveling salesman problem (MTSP) approach, optimized using the Jump Point Search (JPS) algorithm and Genetic Algorithm (GA). …”
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