Coder and decoder of fractal signals of comb-type structure by R. L. Politanskyi, A. D. Veryga

“…Minimum bit capacity of the DAC necessary for the generation of FSCS of fourth order is four bits. …”
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A Deep Learning-Driven CAD for Breast Cancer Detection via Thermograms: A Compact Multi-Architecture Feature Strategy by Omneya Attallah

“…Following that, feature transformation methods, such as discrete wavelet transform (DWT) and non-negative matrix factorization (NNMF), are employed to diminish feature dimensionality and enhance computational efficiency. Features from all layers of the three CNNs are subsequently incorporated, and the Minimum Redundancy Maximum Relevance (MRMR) algorithm is utilized to determine the most prominent features. …”
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Channel Estimation for Mixed-Analog to Digital Converters Architecture in Massive MIMO Architecture Using Approximate Conjugate Gradient Pursuit Algorithm by Yaseen A. Mohammed Obaidi, Anas L. Mahmood

“…While OMP exhibited faster computation times under various number of observation frames, ACGP maintained stable computational performance, with a slight increase in computation time. …”
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multistrap: boosting phylogenetic analyses with structural information by Athanasios Baltzis, Luisa Santus, Björn E. Langer, Cedrik Magis, Damien M. de Vienne, Olivier Gascuel, Leila Mansouri, Cedric Notredame

“…These variations exhibit less saturation than sequence-based Hamming distances and support the computation of tree-like distance matrices resolvable into phylogenetic trees using distance-based methods such as minimum evolution. …”
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Nearest neighbor permutation entropy detects phase transitions in complex high-pressure systems by Arthur A. B. Pessa, Leonardo G. J. M. Voltarelli, Lúcio Cardozo-Filho, Andres G. M. Tamara, Claudio Dariva, Papa M. Ndiaye, Matjaž Perc, Haroldo V. Ribeiro

“…Consequently, developing computationally efficient and robust methods to leverage such data is crucial. …”
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Complexity-Constrained Quantum Thermodynamics by Anthony Munson, Naga Bhavya Teja Kothakonda, Jonas Haferkamp, Nicole Yunger Halpern, Jens Eisert, Philippe Faist

“…We focus on the prototypical task of information erasure, or Landauer erasure, wherein an n-qubit memory is reset to the all-zero state. We show that the minimum thermodynamic work required to reset an arbitrary state in our model, via a complexity-constrained process, is quantified by the state’s complexity entropy. …”
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Application of deep learning for fruit defect recognition in Psidium guajava L by Kuo-Dung Chiou, Yen-Xue Chen, Po-Sung Chen, Ying-Tzy Jou, Shang-Han Tsai, Chia-Ying Chang

“…The applicability of the model in real-time harvesting and grading operations was demonstrated by a minimum detectable defect size of 13 × 14 pixels and computation speed of 12 FPS demonstrated.…”
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Channel Estimation for Massive MIMO Systems via Polarized Self-Attention-Aided Channel Estimation Neural Network by Shuo Yang, Yong Li, Lizhe Liu, Jing Xia, Bin Wang, Xingjian Li

“…The simulation results show that the proposed DL-assisted channel estimation algorithm has better normalization mean square error (NMSE) performance compared with the traditional algorithms and other DL-assisted algorithms. Furthermore, the computational complexity of the proposed DL-assisted algorithm is significantly lower than that of the traditional minimum mean square error (MMSE) channel estimation algorithm.…”
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TSDCA-BA: An Ultra-Lightweight Speech Enhancement Model for Real-Time Hearing Aids with Multi-Scale STFT Fusion by Zujie Fan, Zikun Guo, Yanxing Lai, Jaesoo Kim

“…The TSE module enhances single-frame spectral features by concatenating statistical descriptors—mean, standard deviation, maximum, and minimum—thereby capturing richer local information without relying on temporal context. …”
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Convolutional neural network–based person tracking using overhead views by Misbah Ahmad, Imran Ahmed, Fakhri Alam Khan, Fawad Qayum, Hanan Aljuaid

“…In video surveillance, person tracking is considered as challenging task. Numerous computer vision, machine and deep learning–based techniques have been developed in recent years. …”
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Improving Location-Based Thermal Emission Side-Channel Analysis Using Iterative Transfer Learning by Kai Zhang, Tun-Chieh Lou, Chung-Che Wang, Jyh-Shing Roger Jang, Henian Li, Lang Lin, Norman Chang

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ATR-FTIR spectroscopic markers indicating drug resistance in selected Candida strains by Agnieszka Dróżdż, Dominika Kubera, Alina Olender, Wojciech Dabrowski, Magdalena Szukala, Sylwia Wosko, Joanna Chwiej, Marzena Rugiel, Kamil Kawoń, Mariusz Gagoś

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A fuzzy based chicken swarm optimization algorithm for efficient fault node detection in Wireless Sensor Networks by B Nagarajan, Santhosh Kumar SVN, M Selvi, K Thangaramya

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Machine Learning-Based Resource Allocation Algorithm to Mitigate Interference in D2D-Enabled Cellular Networks by Md Kamruzzaman, Nurul I. Sarkar, Jairo Gutierrez

“…To this end, we propose a machine learning-based resource allocation method to maximize throughput and achieve minimum QoS requirements for all active D2D pairs and cellular users. …”
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Effective k-nearest neighbor models for data classification enhancement by Ali A. Amer, Sri Devi Ravana, Riyaz Ahamed Ariyaluran Habeeb

“…Secondly, a weighting computation is introduced to reduce the imbalanced class impact. …”
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Application of Graph Theory and Variants of Greedy Graph Coloring Algorithms for Optimization of Distributed Peer-to-Peer Blockchain Networks by Miljenko Švarcmajer, Denis Ivanović, Tomislav Rudec, Ivica Lukić

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Human Face Recognition Based on Local Ternary Pattern and Singular Value Decomposition by Ali Nadhim Razzaq, Rozaida Ghazali, Nidhal Khdhair El Abbadi, Hussein Ali Hussein Al Naffakh

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An End-to-End Particle Gradation Detection Method for Earth–Rockfill Dams from Images Using an Enhanced YOLOv8-Seg Model by Yu Tang, Shixiang Zhao, Hui Qin, Pan Ming, Tianxing Fang, Jinyuan Zeng

“…The proposed model attains a mAP50 of 97.8% (base dataset) and 96.1% (on-site dataset), enabling precise segmentation of adhered and overlapped particles with various sizes. A Minimum Area Rectangle algorithm was introduced to compute the gradation, closely matching the results from manual screening. …”
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Ultrasonic welding of lap joints of PEI plates with PEI/CF-fabric prepregs by Vladislav Alexenko, Defang Tian, Sergey Panin, Svetlana Bochkareva, Iliya Panov

“…Computer simulation of the influence of the PEI/CF-fabric ratios in the prepregs on the deformation response of the USW joints showed that the prepreg thicknesses and, accordingly, the PEI/CF ratios did not exert a noticeable effect on the strain–stress (tensile) diagrams, while the determining factor was the adhesion level. …”
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Geometry optimization on the cross section of adhesively bonded thin-walled composite beam subjected to axial crushing load by Xiao Han, Jingru Ye, Shaoqiang Hou, Wenbin Hou

“…A multi-objective and multi-constraint design optimization problem was formulated to find the optimum key cross-section size and ply thickness of the hat thin-walled beam. The minimum total material cost and maximum energy absorption (EA) during the axial crushing test of the CFRP beam were selected as the optimization objectives. …”
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