Spectral efficient optimisation for multihop relay networks adopting HARQ schemes by Junmei Han, Yong Xi, Jibo Wei

“…Hence, low‐complexity iterative algorithms are proposed to obtain the optimisation strategies. …”
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Advances in subsurface defect detection techniques for fused silica optical components: A literature review by Hongbing Cao, Xing Peng, Feng Shi, Ye Tian, Lingbao Kong, Menglu Chen, Qun Hao

“…The potential of deep learning algorithms for SSD detection is also examined. Finally, future directions for research and development are proposed to provide a valuable reference for researchers in the field.…”
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Vessel Trajectory Data Mining: A Review by Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis

“…The article collects and evaluates state-of-the-art algorithmic approaches and key techniques pertinent to various use case scenarios within this domain. …”
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A comparison of several intrusion detection methods using the NSL-KDD dataset by hazem salim abdullah

“…This research investigates the way to classify and predict cyber-attacks on the NSL-KDD dataset using intrusion detection methods the investigation contrasts the capabilities of various algorithms, including RNN, MLP, CNN-LSTM, and ANN, in recognizing attacks. …”
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Some New Transformation Properties of the Nielsen Generalized Polylogarithm by Nina Shang, Qinghua Feng, Huizeng Qin

“…By use of these transformation formulas presented, new fast algorithms for Nielsen generalized polylogarithm Sn,p(z) can be designed. …”
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Machine‐Learning Research in the Space Weather Journal: Prospects, Scope, and Limitations by Noé Lugaz, Huixin Liu, Mike Hapgood, Steven Morley

“…The software and/or algorithms used for to develop the machine‐learning technique should be included in a repository at the time of submission. …”
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Efficient Wireless Broadcasting through Joint Network Coding and Beamforming by Monchai Lertsutthiwong, Thinh Nguyen, Bechir Hamdaoui

“…Given the large number of MSs and the small number of transmit antennas, the BS must decide, at any transmission opportunity, which group of MSs it should transmit packets to, in order to maximize the overall throughput. We propose two algorithms for grouping MSs that take advantage of NC and the orthogonality of user channels to improve the overall throughput. …”
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Correlation and Spectral Properties of a Coupled Nonlinear Dynamical System in the Context of Numerical Weather Prediction and Climate Modeling by Sergei Soldatenko, Denis Chichkine

“…This dynamical system is frequently applied for studying various aspects of atmospheric and climate dynamics, as well as for estimating the effectiveness of numerical algorithms and techniques used in numerical weather prediction, data assimilation, and climate simulation. …”
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Optimizing qubit performance through smoothing techniques by Ivan P. Malashin, Igor S. Masich, Vadim S. Tynchenko, Aleksei S. Borodulin

“…Abstract This study explores an approach to enhance the performance of qubits by leveraging signal smoothing algorithms applied to qubit chips. The primary aim is to mitigate experimental variability and enhance overall stability, tied to the improvement of the Hamiltonian spectrum. …”
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Complete verification of strong BSD for many modular abelian surfaces over ${\mathbf {Q}}$ by Timo Keller, Michael Stoll

“…We develop the theory and algorithms necessary to be able to verify the strong Birch–Swinnerton-Dyer Conjecture for absolutely simple modular abelian varieties over ${\mathbf {Q}}$ . …”
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Statistical Complexity Analysis of Sleep Stages by Cristina D. Duarte, Marianela Pacheco, Francisco R. Iaconis, Osvaldo A. Rosso, Gustavo Gasaneo, Claudio A. Delrieux

“…Using classification algorithms, we evaluate feature sets derived from both standard permutation entropy (PE) and GWPE to determine which set performs better in classifying sleep stages, demonstrating that GWPE significantly enhances sleep stage differentiation, particularly in identifying the transition between N1 and REM sleep. …”
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Design of a Computationally Efficient Dynamic System-Level Simulator for Enterprise LTE Femtocell Scenarios by J. M. Ruiz-Avilés, S. Luna-Ramírez, M. Toril, F. Ruiz, I. de la Bandera, P. Muñoz, R. Barco, P. Lázaro, V. Buenestado

“…The resulting tool can be used to test and validate optimization algorithms in the context of Self-Organizing Networks (SON).…”
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Bean leaf image dataset annotated with leaf dimensions, segmentation masks, and camera calibrationMendeley Data by Karla Gabriele Florentino da Silva, Paulo Victor de Magalhães Rozatto, Kaio de Oliveira e Sousa, Lucas Dias Hudson, Artur Welerson Sott Meyer, Alemilson Fabiano Silva, Igor Tibiriçá Mendes, Alex Rodrigues Borges, Leandro Elias Morais, Luiz Maurílio da Silva Maciel, Saulo Moraes Villela, Helio Pedrini, Marcelo Bernardes Vieira

“…This dataset can be useful for developing deep learning algorithms for leaf dimensioning and related problems. …”
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Network architecture and key technologies of intelligent optical networks driven by data and model by Zhiqun GU, Jiawei ZHANG, Yuefeng JI, Hao YU, Taleb Tarik

“…With the expanding scale of the networks and the emerging applications of ultra-massive connection, ultra-high bandwidth and ultra-low delay, higher requirements are proposed for the utilization of optical transmission network resources and network differentiated services, which makes the network and configuration mode driven by the traditional approaches face challenges.Based on the idea of data and model collaborative driving, the intelligent optical network technologies of three-layerthree-cycle architecture and three functions were proposed, and the implementation technology was studied.The performance of the proposed algorithms was evaluated based on the designed intelligent transmission network platform.The validation results show that the transmission performance of intelligent optical network driven by collaborative data and model has been effectively improved, which provides theoretical and technical support for the realization of network intelligence.…”
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Overview of development and challenges of attitude determination for rotary wing UAVs based on GNSS by Yejia Zeng, Zukun Lu, Zukun Lu, Yuchen Xie, Yuchen Xie, Binbin Ren, Binbin Ren, Yi Yu, Shaojie Ni, Shaojie Ni

“…This paper mainly discusses the relevant theories of using GNSS for RUAV’s attitude determination, and introduces the relevent key aspects that determine attitude accuracy in the attitude resolution process, such as integer ambiguity fixing, attitude solution algorithms, and integrated attitude measurement. It especially elaborates on the challenges that faced to be solved for current RUAVs to use the GNSS system for real-time and guarded attitude measurement.…”
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Modeling Repayment Behavior of Consumer Loan in Portfolio across Business Cycle: A Triplet Markov Model Approach by Shou Chen, Xiangqian Jiang

“…The corresponding Markov chain Monte Carlo algorithms of the particular TMM are also developed for estimating the model parameters. …”
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An Inertial Subgradient Extragradient Method for Efficiently Solving Fixed-Point and Equilibrium Problems in Infinite Families of Demimetric Mappings by Habib ur Rehman, Fouzia Amir, Jehad Alzabut, Mohammad Athar Azim

“…We establish that the iterative sequences generated by our proposed algorithms converge strongly under suitable conditions. …”
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The Effects of Spectral Pretreatments on Chemometric Analyses of Soil Profiles Using Laboratory Imaging Spectroscopy by Henning Buddenbaum, Markus Steffens

“…We found that spectral preprocessing has a minor influence on chemometry results when powerful regression algorithms like PLSR are used.…”
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Determination of Anatolian Plate’s tectonic block boundaries with clustering analysis using GNSS sites velocities by Şeyma Şafak Yaşar, İbrahim Tiryakioğlu, Bahadır Aktuğ, Hediye Erdoğan, Çağlar Özkaymak

“…In this study, block boundary studies were performed by clustering analysis using horizontal velocity data for 841 GNSS sites located on the Anatolian Plate. Four algorithms were used to determine the most appropriate cluster number. …”
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The Interplay Between Loss Functions and Structural Constraints in Dependency Parsing by Robin Kurtz, Marco Kuhlmann

“…Several of the decoding algorithms that have been applied to this task employ structural restrictions on candidate solutions, such as the restriction to projective dependency trees in syntactic parsing, or the restriction to noncrossing graphs in semantic parsing. …”
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