Efficient Onboard Multitask AI Architecture Based on Self-Supervised Learning by Gabriele Inzerillo, Diego Valsesia, Enrico Magli

“…Experiments on three sample tasks of cloud segmentation, flood detection, and marine debris classification on a 7-W embedded system show competitive results with inference quality close to high-complexity state-of-the-art models and high throughput in excess of 8 Megapixel/s.…”
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LINKING MARKETING AND HUMAN RESOURCES RECRUITMENT TO OBTAIN ORGANIZATIONAL EFFICIENCY by Nicoleta Valentina FLOREA

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Predicting Scattering From Complex Nano-Structures via Deep Learning by Yongzhong Li, Yinpeng Wang, Shutong Qi, Qiang Ren, Lei Kang, Sawyer D. Campbell, Pingjuan L. Werner, Douglas H. Werner

“…This framework increases the viability of the design and analysis of complex nanostructures, offering great potential for applications pertaining to complex light-matter interaction between electromagnetic fields and nanomaterials.…”
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Proteomics approaches – their potential for answering complex questions in meat science research by Elisabeth Huff-Lonergan, Steven M. Lonergan

“…New information can be used to make precise changes in management or genetic selection to improve the ability to efficiently produce the high-quality meat that customers and consumers expect. …”
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Water heaters low-voltage electrode with current supply complex shape by E. V. Ptitsyna, D. V. Ptitsyn, A. B. Kuvaldin

“…The mode with a power supply of a complex shape causes an increase in the efficiency of the electrode water heaters.…”
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An Adaptive Finite Resolution Selection Scheme for RIS Assisted NOMA Networks by Shady M. Ibraheem, Mona Shokair, Mohamed E. Nasr, Nancy Alshaer

“…This paper presents an integration between RIS and NOMA to communicate with distant vehicular users. To alleviate the complexity of coherent phase shifting design at RIS, we propose a dynamic gain adaptation RIS selection scheme based on discrete phase shifting (i.e., termed as GADPS) to serve two vehicular users paired to perform NOMA. …”
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Key nodes identification in complex networks based on subnetwork feature extraction by Luyuan Gao, Xiaoyang Liu, Chao Liu, Yihao Zhang, Giacomo Fiumara, Pasquale De Meo

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Methodology for ensuring the functional stability of aircraft integrated modular avionics complex by Г. А. Калашник, М. А. Калашник-Рибалко

“…To increase the efficiency of the integrated avionics complex under conditions of destabilizing influences, the optimal structure of the avionics complex of the D-42 aircraft was synthesized according to the criterion of the maximum indicator of functional stability with the limitation of the cost of construction the system. …”
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Location-Based Relay Selection in Full-Duplex Random Relay Networks by Jonghyun Bang, Taehyoung Kim

“…Furthermore, we introduce a low-complexity relay selection algorithm that selects the relay node nearest to the potential relay location. …”
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A Method for the Automatic Selection of Training Tasks in Learning Environment for IT Students by S. U. Rzheutskaya, M. V. Kharina

“…The research, the results of which are presented in this article, was carried out in order to activate and improve the efficiency of independent work of students in the information environment of learning by rational individual selection of training tasks. …”
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Efficient Differential Diagnosis using Cost-aware Active Testing by Emile van Gerwen, Leonardo Barbini, Michael Borth, Robert Passmann

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Identification of Rare Multiple Core‐Mantle Boundary Reflections PmKP Up To P7KP With Deep Learning by Sheng Dong, Yulin Chen, Baolong Zhang, Sidao Ni, Xiaofei Chen, Yi Wang

“…PmKP waves are seismic phases that reflect (m − 1) times under the CMB and are useful for studying the complex CMB structure. …”
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Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming by Hamed Hojatian, Zoubeir Mlika, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau

“…Hybrid beamforming (HBF) and antenna selection are promising techniques for improving the energy efficiency (EE) of massive multiple-input multiple-output (mMIMO) systems. …”
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Spectroscopic Evolution in Ice Analogs of Trans-Neptunian Objects Exposed to Ionizing Radiation. I. Visible Reflectance Spectra and Colors by Chaojiang Zhang, Jia Wang, Andrew M. Turner, Leslie A. Young, Ralf I. Kaiser

“…Trans-Neptunian objects (TNOs) exhibit a color diversity containing a wealth of clues for understanding complex compositions and the formation history of our solar system. …”
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Detecting Signatures of Criticality Using Divergence Rate by Tenzin Chan, De Wen Soh, Christopher Hillar

“…In biology especially, these signatures of criticality are thought to be connected with efficient computation and information processing. Guided by the classical theory of rate–distortion (RD) from information theory, we propose a measure for detecting and characterizing such phenomena from data. …”
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Diagnostic efficiency of exome-based sequencing in pediatric patients with epilepsy by Huafang Zou, Huafang Zou, Qian Zhang, Jianxiang Liao, Jianxiang Liao, Dongfang Zou, Zhanqi Hu, Bing Li, Li Chen, Jialun Wen, Xia Zhao, Victor Wei Zhang, Dezhi Cao, Dezhi Cao

“…This study aims to evaluate the detection efficiencies of different exome-based sequencing techniques.MethodsExome-based epilepsy panel tests, clinical exome sequencing (CES), and whole exome sequencing (WES) were conducted on 259 pediatric patients diagnosed with epilepsy. …”
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An efficient hybrid framework with knowledge transfer for solving capacitated vehicle routing problems by Yanlin Wu, Yanguang Cai, Chuncheng Fang

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Lightweight framework for misbehavior detection in internet of vehicles by Yujing Gong, Bin-Jie Hu

“…Despite LTC and CFC having significantly fewer parameters, making them less complex and more space-efficient than CNN-LSTM, the latter proves to be more time-efficient. …”
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TRENDS IN THE DEVELOPMENT OF INNOVATIVE PROCESSES IN THE INDUSTRY OF THE AGRO-FOOD COMPLEX OF RUSSIA by Marianna VASILCHENKO, Elena DERUNOVA

“…Sustainable development of the production potential of the agro-food complex is inextricably linked with the introduction of innovative methods and approaches to production. …”
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An efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

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