Off-grid hydroacoustic signal orientation estimation based on interpolation and subspace fitting in coprime arrays. by Chuanxi Xing, Guangzhi Tan, Qiang Meng, Yanling Ran, Mao Lu

“…This letter presents a novel approach to sparse Bayesian underwater acoustic signal direction estimation. The proposed method incorporates interpolation of the coprime array and signal subspace fitting. …”
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Fungal Biomass Fermentation: Valorizing the Food Industry’s Waste by Simas Borkertas, Jonas Viskelis, Pranas Viskelis, Paulina Streimikyte, Ugne Gasiunaite, Dalia Urbonaviciene

“…The optimization of SSF processes, compatibility with various substrates, and potential for producing diverse value-added products make SSF a promising method for sustainable resource utilization and enhanced product development. …”
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Comparison of numerical model, neural intelligent and GeoStatistical in estimating groundwater table by Maryam Bayatvarkeshi, Rojin Fasihi

“…The NRMSE value in Wavelet-ANN method as optimization method was 0.11 % and in numerical model was 2.2 %. …”
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Performance and Improvement Analysis of the Underwater WSN Using a Diverse Routing Protocol Approach by K. Sathish, C. V. Ravikumar, Asadi Srinivasulu, A. Rajesh, Olutayo Oyeyemi Oyerinde

“…The routing protocols ad-hoc on-demand distance vector (AODV), dynamic source routing (DSR), dynamic manet on demand routing protocol (DYMO), location-aided routing 1 (LAR 1), optimized link state routing (OLSR), source-tree adaptive routing optimum routing approach (STAR-ORA), zone routing protocol (ZRP), and STAR-least overhead routing approach (STAR-LORA) are a few models of routing techniques. …”
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Education on Garden Land Utilization in Efforts to Prevent Stunting in Padang City by Rahmi Awalina, Yeffi Masnarivan, Resmiati Resmiati

“…The method employed involves educating local volunteers about the benefits of family backyard spaces as an alternative source of family food, followed by the distribution of plant seeds and planting media. …”
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Cross-Domain Facial Expression Recognition Based on Transductive Deep Transfer Learning by Keyu Yan, Wenming Zheng, Tong Zhang, Yuan Zong, Chuangao Tang, Cheng Lu, Zhen Cui

“…As part of the network parameters, the labels of the target samples are also optimized when optimizing the parameters of TDTLN, such that the cross-entropy loss of source domain data and the regression loss of target domain data can be simultaneously calculated. …”
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Preparation, Structural Characterization and Antioxidant Activity of Carboxylated Chitosan-Pectin-based Silver Nanoparticles by Yongjin SUN, Hongjie WANG, Jing HUANG, Yunlong ZHAO, Huiying LIAO, Shuyun LIANG, Jinyuan CAI, Xia LI

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A survey of sensors based autonomous unmanned aerial vehicle (UAV) localization techniques by Haiqiao Liu, Qing Long, Bing Yi, Wen Jiang

“…In the context of sensor-assisted multi-source UAV localization, the applications of filtering-based fusion, optimization-based fusion, and deep learning-based fusion methods are discussed. …”
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Uncertainty Measure for Multisource Intuitionistic Fuzzy Information System by Hong Wang, Hong Li

“…Firstly, the paper proposes an optimal source selection method. Secondly, we study the weighted generalized, weighted optimistic, and weighted pessimistic multigranularity intuitionistic fuzzy rough set models and uncertainty measurement methods in the multisource intuitionistic fuzzy information system, and we further study the relationship between the three models and related properties. …”
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Producing mixed linked xylooligosaccharides from red algae biomass through single-step enzymatic hydrolysis by Michelle Teune, Christoph Suster, Yannick Wolf, Nils Michels, Henrieke Mieth, Thorben Döhler, Daniel Bartosik, Joris Krull, Jan-Hendrik Hehemann, Thomas Schweder, Christian Stanetty, Uwe T. Bornscheuer

“…Abstract Background The red alga Palmaria palmata is a rich source of sugar compounds, particularly mixed-linkage xylans present in the cell walls of the algae. …”
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High-Performance O-Band Angled Multimode Interference Splitter with Buried Silicon Nitride Waveguide for Advanced Data Center Optical Networks by Eduard Ioudashkin, Dror Malka

“…The dimensions of the splitter were optimized using full vectorial beam propagation method (FV-BPM), finite-difference time domain (FDTD), and multivariable optimization scanning tool (MOST) simulations to support transmission across the O-band. …”
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Study on Damage Characteristics and Physical Field Characteristics of Roadway Surrounding Rock Under Multiple Disturbances by Jiuxin Zhang, Hongyan Qin, Zhenhua Ouyang, Ningbo Zhang, Yiyan Zhang, Yang Liu, Wenshuai Li, Ranran Zhou

“…The degree of damage is quantified by defining the weakening coefficient Di, A “weakening variable method” is proposed to confirm the main parameters of the Holmquist‐John‐son‐Cook (HJC) model under different disturbance conditions. …”
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Capacity Estimation of Lithium-Ion Battery Systems in Fuel Cell Ships Based on Deep Learning Model by Xiangguo Yang, Jia Tang, Qijia Song, Yifan Liu, Lin Liu, Xingwei Zhou, Yuelin Chen, Telu Tang

“…The capacity estimation of lithium-ion batteries, serving as an auxiliary power source in fuel cell vessels, is crucial for ensuring system stability and enhancing operational efficiency. …”
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Green extraction, chemical profile and biological activity of waste products from the olive oil industry: From waste to wealth by Miryam Perrucci, Marco Dezio, Hammad Saleem, Fabrizio Ruggieri, Marcello Locatelli

“…In the present work, through HPLC-PDA analysis with a validated method, it was possible to characterize a chemical profile of the extracts obtained through an optimized (DoE) and green approach. …”
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VRU Safety at Road Intersections: An Ontology-Driven Digital Twin by Victor M. G. Martinez, Salim S. Mussi, Moises R. N. Ribeiro, Divanilson R. Campelo, Tereza C. Carvalho

“…Practitioners currently require more means and methods to realize ontology-based DTs for ITS. Another contribution is to provide information model instantiation, visualization, and simulation, as well as fully based open-source tools, as a case study.…”
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Inherent Trade-Offs Between the Conflicting Aspects of Designing the Compact Global Navigation Satellite System (GNSS) Anti-Interference Array by Xiangjun Li, Xiaoyu Zhao, Xiaozhou Ye, Zukun Lu, Feixue Wang, Peiguo Liu

“…First, we propose a novel null width analysis method based on the steering vector correlation coefficient (SVCC), elucidating the inverse regulatory mechanism between increasing the number of antennas and reducing antenna spacing on null width. …”
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Cervical EVT isolation for non-invasive fetal HLA typing in early pregnancy is limited by purity and maternal cell contamination; a methodological comparison by Liseanne J. van ‘t Hof, Johanna M. Kapsenberg, Jos J.M. Drabbels, Lotte E. van der Meeren, Dave L. Roelen, Michael Eikmans, Marie-Louise P. van der Hoorn

“…Cervical extravillous trophoblasts (EVT) in early pregnancy provide a non-invasive source for fetal genome acquisition, potentially enabling fetal HLA typing for obstetric risk assessment. …”
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Rendering the European neutron research landscape by Evgenii Velichko, Hartmut Abele, David J. Barlow, Antonio Benedetto, Stefano Deledda, Lambert van Eijck, Maria Teresa Fernandez-Diaz, Marc Janoschek, Maths Karlsson, Kim Lefmann, Natalie Malikova, Maria P. M. Marques, Konstantina Mergia, Jörg Pieper, Henrik M. Rønnow, Jan Šaroun, Astrid Schneidewind, Frank Schreiber, Kristiaan Temst, Max Wolff, Wojciech Zając, Marco Zanatta

“…Our analysis reveals consistent growth in the neutron community despite a reduction in sources, underscoring the enduring significance of neutron methods in scientific research. …”
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Inverse design of 3D nanophotonic devices with structural integrity using auxiliary thermal solvers by Kuster Oliver, Augenstein Yannick, Hernández Roberto Narváez, Rockstuhl Carsten, Sturges Thomas Jebb

“…This work introduces a multi-objective optimization method to address these challenges in 3D nanophotonic designs. …”
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Statistical Identification of Parameters for Damaged FGM Structures with Material Uncertainties in Thermal Environment by Yalan Xu, Yu Qian, Kongming Guo

“…The region truncation-based optimization method is employed to simplify the computational process in stochastic model updating. …”
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