Nudibranch Suborders Classification based on Densely Connected Convolutional Networks by Timothy Christyan, Safitri Yuliana Utama, Bagus Tri Yulianto Darmawan, Faisal Dharma Adhinata

“… Nudibranchs, often called sea slugs, are a group of soft-bodied marine gastropod mollusks that shed their shells after their larval stage. …”
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Modeling and Solution of Vehicle Routing Problem with Grey Time Windows and Multiobjective Constraints by Xiaojian Yuan, Qishan Zhang, Jiaoyan Zeng

“…The paper first defines the uncertainty of the delivery vehicle’s arrival time to the customer as grey uncertainty and then whitens the grey time windows; at the same time, the customer’s hard time windows is expanded into a soft time windows to measure customer satisfaction when the vehicle arrives. …”
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Numerical Modeling of Roof Force in Concrete Liquid Storage Tanks. by pouya soltani, Hassan mirzabozorg

“…The interaction of the stored fluid with the roof of the tank was assessed using the penalty technique and the soft constraint algorithm. The analysis results showed that the combination of two parameters, the tank length and seismic stimulation, had the most significant impact. …”
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Threat analysis model to control IoT network routing attacks through deep learning approach by K. Janani, S. Ramamoorthy

“…A deep learning hybrid model based on a Long-Short-Term Memory (LSTM) network and adaptive Mayfly Optimization Algorithm (LAMOA) was presented for the classification of IoT attacks. …”
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The incidence and prevalence of Dupuytren’s disease in primary care: results from a text mining approach on registration data by Roel J. M. van Straalen, Michiel R. de Boer, Francine Vos, Paul M. N. Werker, Dieuwke C. Broekstra

“…Background The focus of research and management of Dupuytren’s disease (DD) is shifting from relieving symptoms in the later stages of disease towards the prevention of contractures. …”
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Research on Correction Method of Water Quality Ultraviolet-Visible Spectrum Data Based on Compressed Sensing by Fengxiao Li, Bin Tang, Mingfu Zhao, Xinyu Hu, Shenghui Shi, Mi Zhou

“…Because of the slow response speed and unstable compensation effect of traditional correction methods, this paper proposes to use a compressed sensing algorithm to perform baseline correction and achieve good results. …”
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Optimal nonlinear filtering of M-PSK signals against a background of harmonic interference with a random initial phase by G. V. Kulikov, Trung Tien Do, E. V. Samokhina

“…The widespread use of radio data transmission systems using signals with multiposition phase shift keying (MPSK) is due to their high noise immunity and the simplicity of constructing the transmitting and receiving parts of the equipment. …”
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Modeling of digital spatial processing under conditions of troposphere propagation of centimeter radio waves for wireless telecommunication by Ilia W. Peshkov, Dmitry N. Borisov

“…The best geometry for this purpose is circular, since providing the lowest bit error rate for binary phase-shift keyed signals.…”
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On the Design of Super Constellations by Thrassos K. Oikonomou, Dimitrios Tyrovolas, Sotiris A. Tegos, Panagiotis D. Diamantoulakis, Panagiotis Sarigiannidis, George K. Karagiannidis

“…We also introduce super amplitude phase shift keying (SAPSK), an innovative modulation technique designed to achieve these ultra-high data rate requirements. …”
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Processing of retransmitted GPS signals in the problem of measuring the total electron content in the ionosphere by Y. A. Kapliarchuk, S. V. Kozlov, I. E. Savinykh, A. S. Shapkin

“…The algorithm can be used for estimating TEC based on the retransmission of signals from GPS.…”
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Flow shop scheduling of hybrid make-to-stock and make-to-order in a distributed precast concrete production system by Chen Chen, Jinchi Han, Ziwen Liu, Robert Lee Kong Tiong

“…Comparisons between the genetic algorithm and the whale optimization algorithm are made. …”
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RecompGPT: Generative Pre-Trained Transformers-Assisted Interactive Human Gaze Pattern Learning and Distribution Modeling for Scene Recomposition by Wang Shang, Nassiriah Binti Shaari, Nur Sauri Bin Yahaya, Liu Hao

“…Through the integration of multimodal data, RecompGPT employs a novel Locality-Preserved and Observer-Like Active Learning (LOAL) strategy to incrementally generate Gaze Shift Paths (GSPs). LOAL is an active-learning algorithm that selects multiple representative patches from each scene image. …”
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Cooperative Jamming for RIS-Assisted UAV-WSN Against Aerial Malicious Eavesdropping by Juan Li, Gang Wang, Weijia Wu, Jing Zhou, Yingkun Liu, Yangqin Wei, Wei Li

“…The multi-dimensional optimization problem (MDOP) of system security under quality of service (QoS) constraints is addressed by collaboratively optimizing the transmit power (TP) of SNs, the flight trajectories (FT) of the UAV-L, the frame length (FL) of time slots, and the phase shift matrix (PSM) of the RIS. To address the challenge, we put forward a Cooperative Jamming Joint Optimization Algorithm (CJJOA) scheme. …”
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Anomaly detection and removal strategies for in-line permittivity sensor signal used in bioprocesses by Emils Bolmanis, Emils Bolmanis, Emils Bolmanis, Selina Uhlendorff, Miriam Pein-Hackelbusch, Vytautas Galvanauskas, Oskars Grigs

“…These signal spikes and shifts compromise process control. Due to the dynamic and non-stationary nature of bioprocess signals, addressing these issues requires specialized preprocessing. …”
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Changes in Stratospheric Climate and Age‐Of‐Air in Recent GEOS Systems Since MERRA‐2 by Clara Orbe, Lawrence L. Takacs, Amal El Akkraoui, Krzysztof Wargan, Andrea Molod, Steven Pawson

“…Differences in the age‐of‐air resulting from changes within the remapping algorithm approach ∼1 year over the high latitude middle stratosphere—or about 30% climatological mean values—and imprint on several trace gases, including methane (CH4) and nitrous oxide (N2O). …”
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Improved grey wolf optimization for parameter extraction of polycrystalline and mono crystalline solar PV panels using double diode model by Madhusudana Rao Ranga, Venkateswara Rao Bathina, Srikumar Kotni

“…The shift from traditional energy sources towards sustainable ones has become necessary with the increase in carbon emissions and the decay of fossil fuels, which lead to global warming and climate change. …”
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A statistical method for high-throughput emergence rate calculation for soybean breeding plots based on field phenotypic characteristics by Yan Sun, Mengqi Li, Meiling Liu, Jingyi Zhang, Yingli Cao, Xue Ao

“…In order to solve the problem of an overlapping bounding box, a soft strategy is specially designed to avoid the redundant values brought by it. …”
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Highly Variable Quasar Candidates Selected from 4XMM-DR13 with Machine Learning by Heng Wang, Yanli Ai, Yanxia Zhang, Yuming Fu, Wenfeng Wen, Liming Dou, Xue-Bing Wu, Xiangru Li, Zhiying Huo

“…We present a sample of 12 quasar candidates with highly variable soft X-ray emission, selected from the fourth XMM-Newton Serendipitous Source Catalog (4XMM-DR13), using random forest (RF). …”
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Model Reference Adaptive Control of SPS-Based Dual Active Bridge Converter with Constant Power Loading by Effah Emmanuel K., Anto Emmanuel K., Okyere Philip Y., Effah Francis B.

“…This paper presents a new model reference adaptive-based control (MRAC) for a single-phase shift-modulated dual active bridge DC-DC converter (SPS-DAB) with constant power loading (CPL). …”
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A Damage Detection Approach in the Era of Industry 4.0 Using the Relationship between Circular Economy, Data Mining, and Artificial Intelligence by Meisam Gordan, Saeed-Reza Sabbagh-Yazdi, Khaled Ghaedi, Zubaidah Ismail

“…In addition, vibration characteristics of a composite bridge deck structure are employed as inputs of AI algorithms. Likewise, an artificial neural network (ANN) integrated with a genetic algorithm (GA) was also developed for detecting the damage. …”
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