Artificial neural networking for computational assessment of ternary hybrid nanofluid flow caused by a stretching sheet: implications of machine-learning approach by Imad Khan, M. Waleed Ahmed Khan

“…Researchers are mainly interested in using soft computing artificial intelligence (AI) methods due to their broad applications in analysis, modelling and simulations. …”
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Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection by Lianqing Zhu, Haitao Chang, Qun Zhou, Zhongyu Wang

“…Combining the strengths of the local algorithm and interval partial least squares, the spectra data have firstly been divided into several pairs of classes in sample direction and equidistant subintervals in variable direction. …”
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AI-based online VoI-aware healthcare and medical monitoring task computing by Akbar Asgharzadeh-Bonab, Jalil Mazloum, Ali Nouruzi

“…To solve this optimization problem, we employ a deep reinforcement learning (DRL) based solution, outperforming other baselines. We propose a soft actor-critic (SAC)-based algorithm, named SAC-based VoI-aware healthcare networks (SACVAHC), to handle uncertainties in the healthcare network. …”
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Application of Gaussian Mixture Model to Solve Inter-Symbol Interference in PAM8 Underwater Visible Light System Communication by Xingbang Wu, Fangchen Hu, Peng Zou, Nan Chi

“…Traditional soft or hard decisions ignoring the correlation between symbols removing linear and nonlinear damage directly may lead to lack of information and result in system performance degradation. …”
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Khatri-Rao Factorization Based Bi-Level Support Vector Machine for Hyperspectral Image Classification by Xiaotao Wang

“…It builds decision plane with soft margins to divide data into different classes. …”
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Adaptive Polynomial Approximation-Based Data-Driven Model of Parameter Design for Bidirectional L-LLC Converter by Xin Zhou, Huan Luo, Buxiang Zhou

“…Then, the nondominated sorting genetic algorithm (NSGA-II) is employed to search the pareto-based optimal solution, which guarantees the synthetical minimal power losses in bi-direction power flow. …”
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Enhancing Information Freshness and Energy Efficiency in D2D Networks Through DRL-Based Scheduling and Resource Management by Parisa Parhizgar, Mehdi Mahdavi, Mohammad Reza Ahmadzadeh, Melike Erol-Kantarci

“…Numerical results show that the proposed joint scheduling and resource management strategy, utilizing the soft actor-critic (SAC) algorithm, reduces the average AoI by 20% compared to other baseline methods.…”
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A Novel Vision Sensing System for Tomato Quality Detection by Satyam Srivastava, Sachin Boyat, Shashikant Sadistap

“…Zigbee module has been interfaced with developed system for wireless transmission from host system to PC based server for further processing. Algorithm development consists of three major steps, preprocessing steps like noise rejection, segmentation and scaling, classification and recognition, and automatic disease detection and classification. …”
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An efficient field programmable gate arrays based real‐time implementation of smooth variable structure filter to estimate the state of charge of Li‐ion battery in electric vehicle... by Sabeur Jemmali, Mahmoud Hamouda, Bilal Manaï

“…The successful convergence of the algorithm and the accurate results obtained in different circumstances, prove the practicability and computational efficiency of the proposed hardware architecture.…”
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Optimization of Heterogeneous Last-Mile Delivery of Fresh Products Considering Traffic Congestions and Other Real-World Parameters by Nikica Peric, Slaven Begovic, Vinko Lesic

“…The procedure and corresponding algorithms are tested first on the two existing scientific state-of-art benchmarks and further on the real industrial case study, which considers capacities, time windows, soft time windows, heterogeneous vehicles, dynamic fuel consumption, multi-trip delivery, crew skills, split delivery and, finally, time-dependent routes as the most significant factor. …”
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Micro-CT analysis reveals porosity driven growth banding in Caribbean coral Siderastrea siderea by James Vincent, Tom Sheldrake

“…Skeletal thickening occurs within the top two-thirds of the total depth of soft tissues and the rate of thickening varies between microstructures. …”
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WGCNA and integrative network analysis identify CHRNA5 and CTLA4 as potential therapeutic targets against angiosarcoma by Trishla Bhatnagar, Madiha Haider, Mohd Yasir Khan, Mohammad Zahid Ashraf

“…Angiosarcomas are a type of soft-tissue sarcoma characterized by aggressive malignant tumors originating from endothelial cells of blood vessels or lymphatic vessels. …”
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Compressive SAR Imaging Based on Modified Low-Rank and Sparse Decomposition by Jeong-Il Byeon, Wookyung Lee, Jihoon Choi

“…For the CS-MLRSD scheme, an iterative thresholding algorithm is derived to separately reconstruct the low-rank and sparse components. …”
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Clinical case of an acquired hemophilia by P. N. Barlamov, E. R. Vasilyeva, M. E. Golubeva, V. G. Zhelobov, A. A. Shutylev, T. Yu. Kravtsova

“…Our clinical observation demonstrates the features of the course, the algorithm of diagnosis and management of patients with of acquired hemophilia A.…”
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A Behavioral Robotics Approach to Radiation Mapping Using Adaptive Sampling by Joel Adams, Brendon Cintas, Nakwon Sung, Anthony Abrahao, Leonel Lagos, Dwayne McDaniel

“…The results additionally demonstrate that dynamically adjusting the optimization algorithm’s exploration tendency based on the arm’s collision history improves the system’s ability to navigate cluttered environments and construct accurate radiation maps without getting stuck in unreachable areas.…”
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Time Delay Identification Method of Wind Turbine Drivetrain Test Bench Based on Instability Characteristics Observation by Lianjun Zhou, Zaiyu Chen, Minghui Yin, Senhua Luo

“…The existing researches solve this problem by the time delay stability control algorithm based on high-order filter, which is on the premise that the filter order and the time delay order of the inertia compensation loop accurately match. …”
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Individual Tree Segmentation From Airborne LiDAR Data Based on Automatic Treetop Detection and Simulated Stem-Branch Points Compensation by Qingjun Zhang, Jiale Chen, Hanwen Qi, Xu Wang, Xinlian Liang

“…Therefore, we propose a novel individual tree segmentation method based on treetop detection and point compensation. First, a center shift algorithm is proposed to detect treetop candidates, which are then refined to identify reliable treetops through geometric-feature analysis of these candidates’ neighborhoods. …”
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Optimization of surgical treatment of abdominal hernias in patients with obesity by V. I. Belokonev, V. P. Zakharov, D. B. Grachev, S. Y. Pushkin, Z. V. Kovaleva, D. S. Pushkina

“…When treating patients with hernias and obesity during operations, the following tactical algorithms were followed: with a saggy stomach and panniculus of the 1st degree, the removal of the skin-subcutaneous apron can be refused; with the 2nd and 3rd degrees, its preservation contributes to the recurrence of the hernia due to the action of moments of forces that shift and pull the abdominal wall down.Conclusions. …”
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SMART DShot: Secure Machine-Learning-Based Adaptive Real-Time Timing Correction by Hyunmin Kim, Zahid Basha Shaik Kadu, Kyusuk Han

“…The Hybrid Adaptive Timing Correction algorithm achieves 31.01% success rate (95% CI: [30.2%, 31.8%]), representing a 26.5% improvement over baseline approaches through intelligent meta-learning-based algorithm selection. …”
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Failure Management Overview in Optical Networks by Sergio Cruzes

“…This study surveys ML techniques for early-warning and failure prediction, failure detection, identification, localization, magnitude estimation, and soft failure detection and prediction. Emphasizing automation, it discusses how ML algorithms can streamline failure management processes, reducing manual intervention and service disruptions. …”
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