Improving Imitation Skills in Children with Autism Spectrum Disorder Using the NAO Robot and a Human Action Recognition by Abeer Alnafjan, Maha Alghamdi, Noura Alhakbani, Yousef Al-Ohali

“…<b>Results:</b> We developed a deep learning approach based on the human action recognition algorithm for analyzing clapping imitation. <b>Conclusions:</b> Our findings suggest that integrating robotics into therapeutic practices can effectively enhance the imitation skills of children with ASD, offering valuable support to therapists.…”
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Probe Selection and Power Weighting in Multiprobe OTA Testing: A Neural Network-Based Approach by Yong Li, Hao Sun, Xingyu Chen, Lijian Xin, Xiang Zhang

“…., the well-known multishot algorithm, the proposed NN-based approach can yield similar channel emulation accuracy with significantly reduced computational complexity.…”
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A Green Demand-Responsive Airport Shuttle Service Problem with Time-Varying Speeds by Ming Wei, Binbin Jing, Jian Yin, Yang Zang

“…Since this task is an NP-hard problem, a heuristic-based nondominated sorting genetic algorithm (NSGA-II) is also presented to find Pareto optimal solutions in a reasonable amount of time. …”
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Effective Lock Detectors Based on Costas Loop Output for SBPSK Mobile Communications by D. Ferramola, T. Casilli, S. Pradella, G. Giunta, D. Orlando

“…Such estimates are obtained through an iterative strategy relying on the Expectation Maximization algorithm. Moreover, when possible, we provide exact statistical characterizations of the considered decision schemes (including the competitors) or, in the other case, suitable approximations that allow for a straightforward performance evaluation. …”
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μ Robust Stable Extrapolation of a Stationary Random Process with Interval Limited Variance by Igor G. Sidorov

“…In a constructive form, a 4-step algorithm is proposed for determinizing the search for the optimum of an imperfectly defined functional of the variance of the estimation error to find the optimum of the same name for two fully defined (deterministic) functionals. …”
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Assessment of leachate-contaminated clays using experimental and artificial methods by Hossein Moradi Moghaddam, Ahmad Fahimifar, Taghi Ebadi, Mohsen Keramati, Sumi Siddiqua

“…Forensic-based investigation optimization (FBIO) and equilibrium optimizer algorithm (EOA) were utilized in addition to multiple types of ensemble models, including adaptive boosting (ADB), gradient boosting regression tree (GBRT), extreme gradient boosting (XGB)) and random forest (RF). …”
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FSPPCFs: a privacy-preserving collaborative filtering recommendation scheme based on fuzzy C-means and Shapley value by Weiwei Wang, Wenping Ma, Kun Yan

“…Specifically, (i) we have modified the traditional recommendation scheme by introducing a similarity balance factor integrated into the Pearson similarity algorithm, enhancing recommendation system performance; (ii) FSPPCFs first clusters the dataset through fuzzy C-means clustering and Shapley value, grouping users with similar interests and attributes into the same cluster, thereby providing more accurate data support for recommendations. …”
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Early Warning and Management Method of Abnormal Performance of Tourist Scenic Spots Assisted by Image Recognition Technology by Zhaozhen Song, Jing Lu

“…In this study, the collaborative filtering algorithm can be used to complete the active recommendation of abnormal performance of tourist scenic spots. …”
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An OFDM Signal Enhancement and Demodulation Method Based on Segmented Asymmetric Bistable Stochastic Resonance by Gaohui Liu, Xiaqiang Chu

“…The quantum particle swarm optimization algorithm is employed to fine-tune system parameters. …”
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Variable-Time-Domain Online Neighboring Optimal Trajectory Modification for Hypersonic Interceptors by Ningbo Li, Humin Lei, Jin Zhou, Lei Shao, Bin Wang

“…In this paper, an online trajectory generation algorithm is designed based on neighboring optimal control (NOC) theory and improved indirect Radau pseudospectral method (IRPM). …”
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Identification of PET/CT radiomic signature for classification of locally recurrent rectal cancer: A network-based feature selection approach by Sara Dalmonte, Maria Adriana Cocozza, Dajana Cuicchi, Daniel Remondini, Lorenzo Faggioni, Paolo Castellucci, Andrea Farolfi, Emilia Fortunati, Alberta Cappelli, Riccardo Biondi, Arrigo Cattabriga, Gilberto Poggioli, Stefano Fanti, Gastone Castellani, Francesca Coppola, Nico Curti

“…Feature selection was performed using a novel approach derived from gene expression analysis, based on the DNetPRO algorithm. The prediction was done using a Support Vector Classifier (SVC) with a 10-fold cross-validation. …”
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Optimization of Identification and Zoning Method for Landscape Characters of Urban Historic Districts by Hong YUN, Zixuan HU, Zehao HU

“…Then the research utilizes K-means clustering algorithm to optimize the zoning method for historic landscape characters. …”
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Use of Open Claims vs Closed Claims in Health Outcomes Research by Onur Baser, Gabriela Samayoa, Nehir Yapar, Erdem Baser, Fatih Mete

“…**Methods:** We identified 18 different diseases using 2022 data from 2 closed claims data sets (MarketScan® and PharMetrics® Plus) and 1 open claims database (Kythera). After applying an algorithm that removes possible duplications from open claims data, we compared healthcare utilizations such as inpatient, emergency department, and outpatient use and length of stay among these 3 data sets. …”
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<i>Сlostridium difficile</i> Infection in a COVID-19 Patient by A. A. Timofeeva, Yu. O. Shulpekova, V. M. Nechaev, M. R. Skhirtladze

“…The opportunistic bacterial infection of C. difficile often proceeds undetected due to its potential mirroring of COVID-19 presentation. A screening algorithm in COVID-19 patients with diarrhoea should imply steps for C. difficile detection.…”
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Learning from Large-Scale Wearable Device Data for Predicting the Epidemic Trend of COVID-19 by Guokang Zhu, Jia Li, Zi Meng, Yi Yu, Yanan Li, Xiao Tang, Yuling Dong, Guangxin Sun, Rui Zhou, Hui Wang, Kongqiao Wang, Wang Huang

“…In addition to a physiological anomaly detection algorithm defined based on data from wearable devices, an online neural network prediction modelling methodology combining both detected physiological anomaly rate and historical COVID-19 infection rate is explored. …”
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Clinical observation of VR virtual reality rehabilitation training combined with acupuncture in the treatment of mild cognitive impairment by Ying Fu, Hui Wang

“…This paper then establishes the algorithm model of the VR virtual reality rehabilitation training system, which lays a solid foundation for the design of the subsequent rehabilitation training system. …”
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Geo-Insurance: Improving Big Data Challenges in the Context of Insurance Services Using a Geographical Information System (GIS) by Nana Yaw Asabere, Isaac Ofori Asare, Gare Lawson, Fatoumata Balde, Nana Yaw Duodu, Gifty Tsoekeku, Priscilla Owusu Afriyie, Abdul Razak Abdul Ganiu

“…In this paper, we present a geographic information system (GIS)–based location-aware recommender algorithm, called Geo-Insurance. Using some selected insurance companies in Accra, Ghana, as a point of view for location and customer data, our proposed Geo-Insurance solution addresses the big data challenges of customers finding the closest insurance companies with specific services through a web-based map created using a geodatabase file, ArcCatalog, and ArcGIS (among others). …”
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Subset-Selection Weight Post-Training Quantization Method for Learned Image Compression Task by Jinru Yang, Xiaoqin Wang, Qiang Li, Shushan Qiao, Yumei Zhou

“…Subset-selection method uses a clustering algorithm to select a proper batch of quantization points from a large uniformly constructed quantization points pool that matches the current layer&#x2019;s weight distribution correctly. …”
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Superficially Plausible Outputs from a Black Box: Problematising GenAI Tools for Analysing Qualitative SoTL Data by Mirjam Sophia Glessmer, Rachel Forsyth

“…In some instances, interpretations and extrapolations of data happened when it was clearly stated in the prompt that the tool should only analyse a specified dataset based on explicit instructions. Since both algorithm and training data of the GenAI tools are undisclosed, it is impossible to know how the outputs had been arrived at. …”
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A New Health Condition Detection Method for Planetary Gears Based on Modified Distributed Compressed Sensing and Multiscale Symbol Dynamic Entropy by Zhe Wu, Qiang Zhang, Zeyu Ma, Jialong Lu, Zhiying Qin

“…A distributed compression sensing parameter optimization algorithm based on Rényi entropy is proposed, which uses improved distributed compression sensing technology to simultaneously sample, compress, and denoise the multisource vibration data of rotating machinery. …”
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