Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

“…However, sensor measurements in three-dimensional vectors are highly sensitive to device orientation since a slight change in the device’s tilt or heading can change the vector values. …”
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Joint Channel and Data Estimation via Parametric Bilinear Inference for OTFS Demodulation by Kenta Ito, Takumi Takahashi, Kengo Furuta, Shinsuke Ibi, Giuseppe Thadeu Freitas de Abreu

“…This paper proposes a novel joint channel and data estimation (JCDE) algorithm via parametric bilinear Gaussian belief propagation (PBiGaBP) for orthogonal time frequency space (OTFS) demodulation. …”
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Optimization of Ground Station Energy Saving in LEO Satellite Constellations for Earth Observation Applications by Francesco Valente, Francesco Giacinto Lavacca, Marco Polverini, Tiziana Fiori, Vincenzo Eramo

“…After validating the GSESH algorithm by means of a comparison with the results of the optimal solution, we have compared it to a benchmark algorithm in a typical scenario and we have verified that the GSESH algorithm allows for energy saving in the ground station up to 40% higher than the one achieved with the benchmark solution.…”
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Near-field sound source localization using principal component analysis–multi-output support vector regression by Lanmei Wang, Yao Wang, Guibao Wang, Jianke Jia

“…Simulation results show that this method has high estimation accuracy and training speed, and has strong adaptability at low signal-to-noise ratio, and the performance is better than that of the back-propagation neural network algorithm and the two-step multiple signal classification algorithm.…”
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Outlier Ensemble Based on Isolation Forest: The CBOEA Approach by Chaabouni Ali, Boujelben Mohamed Ayman

“…Such growth requires algorithms that can deal with large data sets with e↵ectiveness and efficiency. …”
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Cnidaria herd optimized fuzzy C-means clustering enabled deep learning model for lung nodule detection by R. Hari Prasada Rao, Agam Das Goswami

“…However, it can be extremely difficult to identify tiny nodules in medical images since pulmonary nodules vary greatly in shape, size, and location. …”
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Relationship between the Significant Solutions of Static Traffic Assignment Problems for Mixed Traffic Flow of Connected and Automated Vehicles and Human-Driven Vehicles by Jaewoong Yun

“…This study interprets the Karush–Kun–Tucker condition of the static traffic assignment problem, considering the asymmetric interaction, and proposes a solution algorithm using discrete dynamics. The proposed algorithm extends the most widely used method in transportation planning research, which can overcome the limitations of asymmetric interaction problems through simple variations. …”
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Q-Learning based VM Consolidation Approach for Enhancing Cloud Data Centres Power Efficiency by Baikani Sreenithya, Bharde Hitesh Dutt, Chennamaneni Jashwanth, R Karthikeyan, MA Jabbar, Majjari Sudhakar

“…Energy consumption has become a common problem since days. Addressing the energy related problem is a challenging task. …”
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Fuzzy-Logic-Based Energy Optimized Routing for Wireless Sensor Networks by Haifeng Jiang, Yanjing Sun, Renke Sun, Hongli Xu

“…So, constrained energy is a prominent feature for wireless sensor networks. Since the radio transceiver typically consumes more energies than any other hardware component on a sensor node, it is of great importance to design energy optimized routing algorithm to prolong network lifetime. …”
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Automated Analysis of Service Life of Air-Lines of the Electricity Transmission of Electric Power Systems by E. M. Farhadzadeh, A. Z. Muradaliyev, S. A. Abdullayeva, A. A. Nazarov

“…The methodology and algorithm of methodological support of the management of electric power systems and grid enterprises in the organization of operation, maintenance and repair have been developed.…”
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A Scalable Genetic Programming Approach to Integrate miRNA-Target Predictions: Comparing Different Parallel Implementations of M3GP by Stefano Beretta, Mauro Castelli, Luis Muñoz, Leonardo Trujillo, Yuliana Martínez, Aleš Popovič, Luciano Milanesi, Ivan Merelli

“…Although several computational methods have been developed for predicting the interactions between miRNA and target genes, there are substantial differences in the results achieved since most algorithms provide a large number of false positives. …”
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The LED-ID Detection and Recognition Method Based on Visible Light Positioning Using Proximity Method by Canyu Xie, Weipeng Guan, Yuxiang Wu, Liangtao Fang, Ye Cai

“…Without the correct recognition of LED-ID, the positioning algorithm would be meaningless no matter how effective it is. …”
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Revealing the assembly of filamentous proteins with scanning transmission electron microscopy. by Cristina Martinez-Torres, Federica Burla, Celine Alkemade, Gijsje H Koenderink

“…STEM-based mass mapping coupled with our tracking algorithm is therefore a powerful technique in the characterization of a wide range of biological and synthetic filaments.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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Symmetric and Transitive Registration of Image Sequences by Oskar Škrinjar, Arnaud Bistoquet, Hemant Tagare

“…These two properties are especially important in motion tracking applications since physically incorrect deformations might be obtained if the registration algorithm is not symmetric and transitive. …”
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Fourier Spectrum Retrieval in Single-Pixel Imaging by Yin Xiao, Lina Zhou, Wen Chen

“…In comparison with the conventional Fourier spectrum acquisition method, conventional correlation algorithm and conventional Gerchberg-Saxton-like algorithm, the proposed method shows great advantages in measurement efficiency, since the proposed method can obtain reconstructed objects with high signal-to-noise ratio by using far fewer measurements. …”
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Low-Rank Kernel-Based Semisupervised Discriminant Analysis by Baokai Zu, Kewen Xia, Shuidong Dai, Nelofar Aslam

“…Inspired by low-rank representation (LLR), we proposed a novel kernel SDA method called low-rank kernel-based SDA (LRKSDA) algorithm where the LRR is used as the kernel representation. …”
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A Clustering-Guided Integer Brain Storm Optimizer for Feature Selection in High-Dimensional Data by Jia Yun-Tao, Zhang Wan-Qiu, He Chun-Lin

“…In view of this, the paper studies a new two-phase evolutionary feature selection algorithm, called clustering-guided integer brain storm optimization algorithm (IBSO-C). …”
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MATHEMATICAL MODELING OF THE PROCESS OF RESORPTION AND SALT DEPLETION BY FILTRATION IN FISSURED ROCK STRATA by A. G. Balamirzoev, E. R. Balamirzoeva, M. R. Magomedova

“…Conclusion. Using a modified algorithm, the compiled and debugged program using DELPHI programming language allows the distribution of concentrations to be calculated.…”
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Energy consumption optimization scheme in UAV-assisted MEC system based on optimal SIC order by Wei JI, Xuxin YANG, Fei LI, Ting LI, Yan LIANG, Yunchao SONG

“…In uplink non-orthogonal multiple access (NOMA)-based unmanned aerial vehicle (UAV)-assisted mobile edge computing (MEC) system, the successive interference cancellation (SIC) order of NOMA became a bottleneck limiting the transmission performance of task offload in uplink link.To reduce the energy consumption of the system, the SIC order was discussed and the optimal SIC order based on channel gain and task delay constraint was proposed.The optimization problem of minimizing the system energy consumption was proposed based on the optimal SIC order while satisfying the constraints of the given task delay of the device, the maximum transmit power constraint of the device, and the UAV trajectory.Since the problem was a complex non-convex problem, an alternating optimization method was adopted to solve the optimization problem to achieve power allocation and UAV trajectory optimization.A low-complexity algorithm based on matching theory was proposed to obtain the optimal device grouping in different time slots.Simulation results show that the optimal SIC order can realize smaller system energy consumption under the same task delay constraint compared with other SIC order, the proposed low-complexity device grouping algorithm can obtain the optimal device grouping.…”
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