DACH: An Efficient and Reliable Way to Integrate WSN with IPv6 by Dequan Yang, Qiao Guo

“…Experimental and simulation results demonstrate that the DACH algorithm has lower time and energy consumption. Moreover, it is more reliable and applicable than many other IP-based WSN algorithms.…”
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Construction and scheduling optimization of renewable energy consumption forecasting system for twisted tire porcelain manufacturing industry based on deep learning by Fangrong Liao, Runlin Ran, Jiayi Zhang

“…After training and optimization of the hardware equipment, the optimal model is obtained. After the algorithm is trained on GPU many times, the obtained optimal model is tested many times in the above data set, with an accuracy rate of 90.2% and a speed of 66 frames per second. …”
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gfpop: An R Package for Univariate Graph-Constrained Change-Point Detection by Vincent Runge, Toby Dylan Hocking, Gaetano Romano, Fatemeh Afghah, Paul Fearnhead, Guillem Rigaill

“…Hocking et al. (2020) described a graph framework to encode many examples of such prior information and a generic algorithm to infer the optimal model parameters, but implemented the algorithm for just a single scenario. …”
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Unitanony: a fine-grained and practical anonymization framework for better data utility by Shuguang Yuan, Jing Yu, Tengfei Yang, Chi Chen

“…Therefore, we designed a data structure unit to generalize records at low costs and implemented a skipping strategy to execute the algorithm within an acceptable time. Besides, our algorithm can support many models. …”
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A Joint Decoherence-Based AOA and TDOA Positioning Approach for Interference Monitoring in Global Navigation Satellite System by Wenjian Wang, Yinghong Wen, Yongxia Liu

“…Global navigation satellite system (GNSS) has been widely used in many fields due to their low cost and high positioning accuracy. …”
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Iterative Schemes for Convex Minimization Problems with Constraints by Lu-Chuan Ceng, Cheng-Wen Liao, Chin-Tzong Pang, Ching-Feng Wen

“…We prove strong convergence theorem for the iterative algorithm under suitable conditions. On the other hand, we also propose another implicit iterative algorithm for finding a fixed point of infinitely many nonexpansive mappings with the same constraints, and derive its strong convergence under mild assumptions.…”
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PENYELESAIAN MASALAH JOB SHOP MENGGUNAKAN ALGORITMA GENETIKA by Satriyo Adhy, Kushartantya Kushartantya

“…Job Shop Scheduling Problem (JSP) is a problem of work scheduling that can be describe by one or several job that have to be done by one or several source, each job contain of several operation that has to be done without interuption in several time and spesific source. Many kind algorithm can be use to solve JSP, one of them is genetic algorithm. …”
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Charge critical sensors first: Minimize data loss in wireless rechargeable sensor networks by Tong Li, Tang Liu, Jian Peng, Feng Lin, Wenzheng Xu

“…We then propose a novel algorithm for the problem. We finally compare the proposed algorithm with existing studies and simulation results show that the amount of lost data by the proposed algorithm is only about 50% of those by the existing studies, and the weighted sum of the amount of lost data and the vehicle travel distance is about 70% of those by the existing ones.…”
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Active Noise Control Using a Fuzzy Inference System Without Secondary Path Modelling by Sebastian KURCZYK, Marek PAWELCZYK

“…For many adaptive noise control systems the Filtered-Reference LMS, known as the FXLMS algorithm is used to update parameters of the control filter. …”
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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…Choosing which algorithm, which implementation and which measures of accuracy to use can offer many pitfalls, especially for the non-expert. …”
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A UAV Pursuit-Evasion Strategy Based on DDPG and Imitation Learning by Xiaowei Fu, Jindong Zhu, Zhaoying Wei, Hui Wang, Sili Li

“…A kind of quasiproportional guidance control law is designed to generate effective learning samples, which are used as the data of the initial experience pool of DDPG algorithm. The UAV pursuit-evasion strategy based on DDPG and imitation learning (IL-DDPG) is proposed, and the algorithm obtains the data from the experience pool for experience playback learning, which improves the exploration efficiency of the algorithm in the initial stage of training and avoids the problem of too many useless exploration in the training process. …”
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An Adaptive Ant Colony System Memorizing Better Solutions (aACS-MBS) For Traveling Salesman Problem by Dursun Ekmekci

“…Choosing the optimal among the many alternatives that meet the criteria is one of the problems that occupy life. …”
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Inflow Forecast of Iranamadu Reservoir, Sri Lanka, under Projected Climate Scenarios Using Artificial Neural Networks by Chamaka Karunanayake, Miyuru B. Gunathilake, Upaka Rathnayake

“…However, traditional computational models like hydrologic models need many data about the catchment itself. Sometimes these important data on catchments are not available due to many reasons. …”
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Tree Species Classification at the Pixel Level Using Deep Learning and Multispectral Time Series in an Imbalanced Context by Florian Mouret, David Morin, Milena Planells, Cécile Vincent-Barbaroux

“…The value of using SITS to classify tree species on a large scale has been demonstrated in numerous studies. However, many methods proposed in the literature still rely on a standard machine learning algorithm, usually the random forest (RF) algorithm. …”
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Network Coding-Based Real-Time Retransmission Scheme in Wireless Sensor Networks by Chang Zhu, Yanqin Zhu, Lingzhi Li

“…In this paper, real-time retransmission algorithm based on network coding (NCRR) is proposed to make the average number of transmissions as less as possible. …”
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Educational Information System Optimization for Artificial Intelligence Teaching Strategies by Taotang Liu, Zhongxin Gao, Honghai Guan

“…How to design more effective optimization methods has become the focus of urgent solutions in many academic fields. Under the guidance of such demand, intelligent optimization algorithms have emerged. …”
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Fast generation of high-dimensional spatial extremes by Hans Van de Vyver

“…Widespread extreme climate events cause many fatalities, economic losses and have a huge impact on critical infrastructure. …”
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An Impulse-C Hardware Accelerator for Packet Classification Based on Fine/Coarse Grain Optimization by O. Ahmed, S. Areibi, R. Collier, G. Grewal

“…Current software-based packet classification algorithms exhibit relatively poor performance, prompting many researchers to concentrate on novel frameworks and architectures that employ both hardware and software components. …”
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Security Data Aggregation with Recoverable Data in Heterogeneous Wireless Sensor Network by Lusheng Shi, Huibo Zhu, Lin Chen

“…Recently, many security aggregation algorithms in wireless sensor network have high communication overhead and the usage of aggregation functions is constrained. …”
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ONE TYPICAL EXTREMUM IN ELECTRICAL PROBLEMS by V. I. Goroshko, T. E. Shukovskaya

“…This feature lies in the fact that in many parts of electrical engineering extremum seeking comes to analysis one and the same mathematical structure (T-structure), but differences lie only in many symbols (designation).In one problems this structure appear in finale, the most simple form, but in others – T-structure is “veiled”, and as a rule  we need  elementary algebraic transformation to detect it.Taking into account high frequency of this structure appearing in electrical problems, in the first part of article the authors  carried out the investigation of extremum characteristics of T-structure and show the results in easy algorithms. …”
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