Two Improved Methods of Generating Adversarial Examples against Faster R-CNNs for Tram Environment Perception Systems by Shize Huang, Xiaowen Liu, Xiaolu Yang, Zhaoxin Zhang, Lingyu Yang

“…In this paper, we propose an improved projected gradient descent (PGD) algorithm and an improved Carlini and Wagner (C&W) algorithm to generate adversarial examples against Faster R-CNN object detectors. …”
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Application of ensemble learning techniques to model the atmospheric concentration of SO2 by A. Masih

“…The results obtained suggest that 1) homogenous ensemble classifier random forest performs better than single base statistical and machine learning algorithms; 2) employing single base classifiers within bagging as base classifier improves their prediction accuracy; and 3) heterogeneous ensemble algorithm voting have the capability to match or perform better than homogenous classifiers (random forest and bagging). …”
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Federated Learning in Data Privacy and Security by Dokuru Trisha Reddy, Haripriya Nandigam, Sai Charan Indla, S. P. Raja

“…This paper focuses on algorithms such as, federated averaging algorithm, differential privacy, federated stochastic variance and reduced gradient (FSVRG). …”
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Weighted determination algoritm of boundary pixels by D. V. Zaerko, V. A. Lipnitski

“…The algorithm is simple to program and easily integrates with the basic convolution matrix algorithm in digital image defects.…”
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Multimodal data integration in early-stage breast cancer by Arnau Llinas-Bertran, Maria Butjosa-Espín, Vittoria Barberi, Jose A. Seoane

“…We examined the primary challenges and opportunities of these multimodal data integration algorithms, including their advantages, limitations, and critical considerations for future research. …”
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A review on control systems hardware and software for robots of various scale and purpose. Part 2. Service robotics by Aleksey M. Romanov

“…The following conclusions are made on the basis of the review results: the key technology in service robotics from the point of view of scalability is the Robot Operating System (ROS); service robotics is today the main springboard for testing intelligent algorithms for the tactical and strategic control levels that are integrated into a common system based on ROS; the problem of ensuring fault tolerance in the service robotics is practically neglected, with the exception of the issue of increasing reliability by changing behavioral algorithms; in a number of areas of service robotics, in which the reduction of mass and dimensions is especially important, the robot control systems are implemented on a single computing device, in other cases a multi-level architecture implemented on Linux-based embedded computers with ROS are used.…”
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Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology by Haihan Zhou

“…In the system implementation part, the overall system construction and functional module composition are introduced in detail, the main functional modules of the system are shown with interface diagrams, codes, and algorithms, and the specific implementation process of 3D display and soft layout algorithms are also explained in detail. …”
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Research on the Distribution of Emergency Supplies during the COVID-19 Epidemic by Jian-guo Zheng, Qing Yang, Shui-lin Chen

“…Through the verification of two sets of examples, we found that compared with the other 13 solution algorithms, the solution capability and solution efficiency of the brain storm optimization algorithm are better than the comparison algorithms, which can significantly reduce the length of the distribution route and lower the distribution cost, and has excellent convergence and stability. …”
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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County) by somayeh mehrabadi

“…The mean squared error (MSE) was used to evaluate the performance of models, which was 0.0535, 0.0704, and 0.0908 for the perceptron neural network in the Levenberg-Marquardt, Bayesian regularization, and scaled conjugate gradient algorithms, respectively. Also, the MSE value for the neuro-fuzzy model in the optimization and hybrid algorithms was 0.0190 and 0.0102, respectively. …”
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Methods Research on Correction for Intracranial Metal Artifacts Based on Prior Image Utilization by Zonggui CHEN, Ningning WEI, Zhoufan LI, Guihong PAN, Minjiang HUANG

“…Objective: A metal artifact correction algorithm based on prior image is proposed to suppress the effect of intracranial metal artifacts on postoperative review. …”
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RockCloud-Align: A High-Precision Benchmark for Rock-Mass Point-Cloud Registration by Yunbiao Wang, Dongbo Yu, Lupeng Liu, Jun Xiao

“…RockCloud-Align provides a comprehensive benchmark for evaluating registration algorithms, along with a robust evaluation protocol to standardize the assessment of these methods. …”
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AccFIT-IDS: accuracy-based feature inclusion technique for intrusion detection system by C. Rajathi, P. Rukmani

“…Among various studies from existing literature, Machine Learning (ML) algorithms provide a viable solution to detecting intrusion in voluminous data. …”
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A Time-Aware CNN-Based Personalized Recommender System by Dan Yang, Jing Zhang, Sifeng Wang, XueDong Zhang

“…With the in-depth study and application of deep learning algorithms, deep neural network is gradually used in recommender systems. …”
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Research of Simulation in Character Animation Based on Physics Engine by Yang Yu, Jucheng Yang, Xiaofei Zan, Jiangang Huang, Xiangbo Zhang

“…It is based on computer hardware and graphics algorithms and related sciences rapidly developed new technologies. …”
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Numerical Simulations on the Front Motion of Water Permeation into Anisotropic Porous Media by Xiangxiang Zhang, J. G. Wang, Xiaolin Wang, Feng Gao

“…The water permeation front moves with time and may significantly impact the field variable evolution near the water front. Many algorithms have been developed to calculate this water front motion, but few numerical algorithms have been available to calculate the water front motion in anisotropic fluid-solid couplings with high computational efficiency. …”
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Feature Selection for Very Short-Term Heavy Rainfall Prediction Using Evolutionary Computation by Jae-Hyun Seo, Yong Hee Lee, Yong-Hyuk Kim

“…In comparative SVM tests using evolutionary algorithms, the results showed that genetic algorithm was considerably superior to differential evolution. …”
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Identification of diabetic retinopathy lesions in fundus images by integrating CNN and vision mamba models. by Zenglei Liu, Ailian Gao, Hui Sheng, Xueling Wang

“…An evaluation of the suggested method was carried out by comparison experiments between state-of-the-art algorithms and the proposed methodology. Empirical findings demonstrate that the suggested methodology surpasses the most advanced algorithms on the datasets that are accessible openly. …”
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Graph Coarsening Approach to the Vehicle Routing Problem: An Approximation Strategy by Katarzyna Nalecz-Charkiewicz, Arnav Das, Turbasu Chatterjee, Joshua Keene, Pawel Gora, Carlos C. N. Kuhn

“…When using the proposed method with hybrid algorithms, we have demonstrated an improvement of approximately 50% in the solution found by the hybrid solver. …”
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Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models by Rolando Antonio Gilbert Zequera, Anton Rassolkin, Toomas Vaimann, Ants Kallaste

“…With the continuous development of Artificial Intelligence (AI), designing accurate algorithms that provide diagnostics and maintenance of energy technologies is a challenging task in the energy transition domain. …”
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Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review by Aan Chu, David Squirrell, Andelka M. Phillips, Ehsan Vaghefi

“…This systematic review was performed to identify the specifics of an optimal diabetic retinopathy deep learning algorithm, by identifying the best exemplar research studies of the field, whilst highlighting potential barriers to clinical implementation of such an algorithm. …”
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