Deep Learning and Automatic Detection of Pleomorphic Esophageal Lesions—A Necessary Step for Minimally Invasive Panendoscopy by Miguel Martins, Miguel Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo

“…Deep-learning (DL) algorithms were developed for the detection of enteric and gastric lesions. …”
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Network and Dataset for Multiscale Remote Sensing Image Change Detection by Shenbo Liu, Dongxue Zhao, Yuheng Zhou, Ying Tan, Huang He, Zhao Zhang, Lijun Tang

“…Comparative experiments are conducted with 10 other state-of-the-art algorithms on the MSRS-CD dataset and another public dataset, LEVIR-CD. …”
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Anomaly Detection in High Mobility MDT Traces Through Self-Supervised Learning by J. M. Sanchez-Martin, C. Gijon, M. Toril, S. Luna-Ramirez, V. Wille

“…Performance analysis includes the comparison of six well-known SL algorithms and 3 different sets of input features aiming to improve model accuracy, generalizability, and explainability, respectively. …”
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Enhancing the estimation of cadmium content in rice leaves by integrating vegetation indices and color indices using machine learning by Xiaoyun Huang, Shengxi Chen, Tianling Fu, Chengwu Fan, Hongxing Chen, Song Zhang, Hui Chen, Song Qin, Zhenran Gao

“…An LCd estimation model was developed by integrating VIs, color indices (CIs), and machine learning (ML) algorithms. Results indicate that VIs and CIs were strongly correlated with LCd, exhibiting correlation coefficients (r) of 0.73 and 0.57, respectively. …”
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Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer by Hongyu Wang, Hongyu Wang, Hongyu Wang, Zhiqiang He, Zhiqiang He, Zhiqiang He, Jiayang Xu, Jiayang Xu, Ting Chen, Ting Chen, Ting Chen, Jingtian Huang, Jingtian Huang, Jingtian Huang, Lihong Chen, Lihong Chen, Lihong Chen, Xin Yue, Xin Yue, Xin Yue

“…This study seeks to create and validate a predictive model through the application of machine learning (ML) algorithms.MethodsThe training set and internal validation set data were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. …”
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FUZZY LOGIC CONTROLLER IMPLEMENTATION FOR PHOTOVOLTAIC STATION by Imad Zein, Yu. N. Petrenko

“…Over the past years many MPPT techniques have been published and based on that the main paper’s objective is to analyze one of the most promising MPPT control algorithms: fuzzy logic controller.…”
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Le fiasco de la smart city de Google à Toronto by Bernard Fallery

“…Hyper-connection and algorithmic optimization can then be analyzed at the level of ethics. …”
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Video steganalysis scheme based on inter-frame collusion by LIU Bin, LIU Fen-lin, YANG Chun-fang

“…An inter-frame collusion based video steganalysis scheme（ICS） was proposed by utilizing the temporal corre-lation among video frames to find out whether secret data was hidden in the frames or not.Motions existing in video se-quence decreased the detection accuracy of steganalysis algorithms,which were taken into account in ICS steganalysis scheme by modeling motions and messages in video frame as a bimodal noise.Suspicious video frames were recognized by decision module employing GRNN classifier with features extracted by the inter-frame correlation strategy.Experi-mental results show the satisfying performance of the proposed scheme.…”
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Progress in programmable network data plane by Xinyi ZHANG, Heng PAN, Gaogang XIE

“…Network data plane performs packet processing and forwarding, which is one of the core factors determining the network performance.High bandwidth, low latency and rapid evolution of the network infrastructure require building an efficient and programmable network data plane.The packet processing and forwarding model was firstly introduced, and on this basis, the challenges of the network data plane in the performance and programmability were outlined.Then the basic ideas and core technology progress were elaborated to deal with the above challenges by analyzing the theory of packet processing algorithms and hardware-software codesign implementations.Finally, the trend and technical route of constructing an efficient programmable data plane were discussed.…”
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Analysis of optimization for properties of UWB indoor multipath channel by HU Luo-quan, ZHU Hong-bo

“…Methods of optimization were proposed for analyzing the properties of UWB indoor multipath channels,and a mathematical model for UWB channel modeling was discussed.Assumptions of stochastic bridge process and probabilistic choice were adopted.A UWB channel impulse response based on bounded Brownian bridge model （BBBM） was constructed.The judgments of effective random paths,and modeling algorithms based on the methods of optimization were presented.The results of simulation for UWB channels demonstrated that the BBBM could obtain the similar properties to the ones of experiments and UTD methods,some characteristic parameters corresponded well with the experimental values.…”
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Optimal trajectories in $L^1$ and under $L^1$ penalizations by Dumas, Annette, Santambrogio, Filippo

“…We then use modern algorithms in non-smooth convex optimization in order to obtain a numerical method to simulate such solutions.…”
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Procedimiento administrativo e inteligencia artificial by Roberto González de Zárate Lorente

“…Specifically, we start with some brief preliminary considerations on the subject of AI, and after a reference to the current legal regime, we will look at the administrative procedure: the need to articulate the necessary guarantees, in particular, human supervision, in order to minimize the risks that the use of algorithms and AI may entail, and the possibility of using them in the administrative procedure. …”

Multi-tier cooperative caching in fog radio access network by Yanxiang JIANG, Chengyu XIA

“…Aiming at the problem of reducing the load of the backward link in the edge buffer and fog wireless access network technology,a multi-tier cooperative caching scheme in F-RAN was proposed to further reduce the backhaul traffic load.In particular,by considering the network topology,content popularity prediction and link capacity,the optimization problem was decomposed into knapsack subproblems in multi-tiers,and effective greedy algorithms were proposed to solve the corresponding subproblems.Simulation results show that the proposed multi-tier cooperative caching scheme can effectively reduce the backhaul traffic and achieve relatively high cache hit rate.…”
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CONTROLLING AS A CORPORATE GOVERNANCE TOOL by T. Rogulenko

“…According to the results of the research it is concluded that con-trolling is one of the modern algorithmic and automated tools of the corporate governance system of the economic development strategy in a highly competitive environment and un-predictability of the behavior of economic entities in the market of goods, works, services, currency, securities and etc., which integrates with other management systems in the mode of their parallel automation.…”
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Semantic-based automated reassembly of heritage fragments by Marie-Morgane Paumard

“…After the spread of the vision-based reassembly techniques, that use either fractures or pattern continuity, the last decade has seen the rise of semantic-based algorithms that allow performing computer vision tasks using the meaning of what is represented. …”
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Topological 1D gravity, KP hierarchy, and orbifold Euler characteristics of M‾g,n by Zhiyuan Wang, Jian Zhou

“…As an application, we present two types of algorithms to compute the orbifold Euler characteristics of the moduli spaces M‾g,n of stable curves. …”
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Low complexity MIMO-OFDM channel estimation based on space time block training sequence by DONG Liang, CAO Xiu-ying, BI Guang-guo

“…In order to improve the performance of MIMO-OFDM channel estimation,the connection between MMSE channel estimator and subspace projecting was analyzed in the context of space time block training sequence firstly.Then the LS channel estimator obtained simply by space time block training sequence was projected to the signal subspace to get an estimator that was efficient but of low complexity.To further improve the estimation performance,the multipath delay was estimated by FFT,and then a more accurate channel response signal space was obtained,so the performance of subspace projecting was also improved.The efficiency of the algorithms presented is proved by computer simulations.…”
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Mathematical modeling of physical processes in test complexes of electric machines by D. I. Popov

“…The practical value of the obtained mathematical models is that they can be used in the design process of new test complexes to determine the necessary parameters of the equipment at the known parameters of the tested motors, as well as to simulate transition process in the electrical circuits of the test scheme in order to virtual check of possible algorithms for setting the load.…”
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Calculation of Wall Heat Conductivity under Non-Symmetric Boundary Conditions by R. I. Yesman

“…Solution of the problem has been realized by numerical methods in accordance with the developed algorithms.…”
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Integral Sliding Mode and Integral Supertwisting Sliding Mode Control for Ship Course-Keeping by Muhammad Munir Butt, Azhar Iqbal Kashif Butt, Iftikhar Ahmad

“…This paper proposes variable structure-based nonlinear control algorithms, including synergetic, terminal synergetic, integral sliding mode, and integral supertwisting sliding mode controllers, for ship course-keeping. …”
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