Similarity Measure Learning in Closed-Form Solution for Image Classification by Jing Chen, Yuan Yan Tang, C. L. Philip Chen, Bin Fang, Zhaowei Shang, Yuewei Lin

“…Based on this similarity measure, we present a specific algorithm under the SML framework, called correlation similarity measure learning (CSML), to learn a parameterized similarity measure over input space. …”
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On nonlinear coupled differential system for heat transfer in magnetized enclosure with T-shaped baffle by using machine learning by Khalil Ur Rehman, Wasfi Shatanawi, Lok Yian Yian

“…The low mean square error (MSE) values and perfect Regression values demonstrate the exceptional performance of the neural model being trained using the Levenberg-Marquardt algorithm. We found that the Nusselt number rises significantly with increasing Rayleigh numbers, especially in the vicinity of the heated baffle. …”
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Preprocessing Approach for Power Transformer Maintenance Data Mining Based on k-Nearest Neighbor Completion and Principal Component Analysis by Moïse Manyol, Samuel Eke, Alphonse J. M. Massoma, Alain Biboum, Ruben Mouangue

“…The accuracy of a knowledge extraction algorithm in a large database depends on the quality of the data preprocessing and the methods used. …”
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Model Predictive Control for an Aerial Tree-Pruning Robot Based on Alternating Direction Method of Multipliers by Changliang Xu, Zhong Yang, Hao Xu, Qiuyan Zhang, Dongsheng Zhou, Kaiwen Lu, Jiaming Han, Luwei Liao

“…One of the main contributions is that an ADMM (alternating direction method of multipliers) algorithm that solves the constrained QP (quadratic programming) is adopted to implement the model predictive control on embedded computers with limited computational power. …”
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Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning by Frank Rhein, Timo Sehn, Michael A. R. Meier

“…By applying a n-best feature selection algorithm based on the F-statistic of the Pearson correlation coefficient, several relevant areas were identified and the optimized model achieved an improved MAE of 0.052. …”
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Robust Band-Pass Filter-Based PLL-Less Approach for Three-Phase Nonsinusoidal Grid Conditions by Manish Kumar, Anant Kumar Verma, Claudio Burgos-Mellado, Raj Kumar Jarial, Ravinder Nath, Bhumaiah Jula, Diego Munoz-Carpintero, Catalina Gonzalez-Castano, Pedro Roncero-Sanchez

“…Additionally, a novel frequency estimation algorithm is developed, which accurately estimates the angular three-phase grid frequency. …”
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Optimizing SVM for argan tree classification using Sentinel-2 data: A case study in the Sous-Massa Region, Morocco by Abdelhak El Kharki, Jamila Mechbouh, Miriam Wahbi, Otmane Yazidi Alaoui, Hakim Boulaassal, Mustapha Maatouk, Omar El Kharki

“…This study aimed to optimize the hyperparameters of the Support Vector Machine (SVM) algorithm using the grid search method to map the distribution of the Argan forest in the Souss-Massa region of Morocco from Sentinel-2 satellite image. …”
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Efficient Probabilistic and Geometric Anatomical Mapping Using Particle Mesh Approximation on GPUs by Linh Ha, Marcel Prastawa, Guido Gerig, John H. Gilmore, Cláudio T. Silva, Sarang Joshi

“…In this paper, we present a solution based on two key ideas: a new registration method that generates a mapping between anatomies represented as a multicompartment model of class posterior images and geometries and an implementation of the algorithm using particle mesh approximation on Graphical Processing Units (GPUs) to fulfill the computational requirements. …”
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Novel Dynamic Partial Reconfiguration Implementation of K-Means Clustering on FPGAs: Comparative Results with GPPs and GPUs by Hanaa M. Hussain, Khaled Benkrid, Ali Ebrahim, Ahmet T. Erdogan, Huseyin Seker

“…In this work, a parameterized implementation of the K-means clustering algorithm in Field Programmable Gate Array (FPGA) is presented and compared with previous FPGA implementation as well as recent implementations on Graphics Processing Units (GPUs) and GPPs. …”
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Performance of the Priority Control Strategies for Bus Rapid Transit: Comparative Study from Scenario Microsimulation Using VISSIM by Min Yang, Wei Wang, Bo Wang, Jing Han

“…Signal priority using advanced detection is a strategy which detects one cycle ahead of buses’ arrival in order to adapt a more flexible control algorithm to provide signal priority for buses. Another is transit speed control, which provides priority at intersections for buses by controlling the speed of them and predicting their arrival at certain intersection. …”
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Raman Microspectral Study and Classification of the Pathological Evolution of Breast Cancer Using Both Principal Component Analysis-Linear Discriminant Analysis and Principal Compo... by Heping Li, Yu Ren, Fan Yu, Dongliang Song, Lizhe Zhu, Shibo Yu, Siyuan Jiang, Shuang Wang

“…Both classification models were principal component analysis-linear discriminant analysis to be extremely efficient on discriminating tissue pathological types with 99% accuracy for PCA-LDA and 100%, 100%, and 96.7% for PCA-SVM analysis based on linear kernel, polynomial kernel, and radial basis function (RBF), respectively, while PCA-SVM algorithm greatly simplified the complexity of calculation without sacrificing performance. …”
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Optimization Method of Underwater Flapping Foil Propulsion Performance Based on Gaussian Process Regression and Deep Reinforcement Learning by YANG Yinghe, WEI Handi, FAN Dixia, LI Ang

“…Under different propulsion performance requirements, the TD3 algorithm in deep reinforcement learning (DRL) is trained for maximizing rewards and obtaining the optimal combination of multiple parameter actions in continuous intervals. …”
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Exploring the Potential Imaging Biomarkers for Parkinson’s Disease Using Machine Learning Approach by Illia Mushta, Sulev Koks, Anton Popov, Oleksandr Lysenko

“…This study aims to identify a biomarker from DATSCAN images and develop a machine learning (ML) algorithm for PD diagnosis. Using 13 DATSCAN-derived parameters and patient handedness from 1309 individuals in the Parkinson’s Progression Markers Initiative (PPMI) database, we trained an AdaBoost classifier, achieving an accuracy of 98.88% and an area under the receiver operating characteristic (ROC) curve of 99.81%. …”
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MBCdeg4: A modified clustering-based method for identifying differentially expressed genes from RNA-seq data by Chiharu Ichikawa, Koji Kadota

“…MBCdeg4 employs normalization factors derived from a robust normalization algorithm, designated as DEGES. Seven competing methods were compared: the four versions of MBCdeg and three conventional R packages (edgeR, DESeq2, and TCC). …”
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Automatical sampling with heterogeneous corpora for grammatical error correction by Shichang Zhu, Jianjian Liu, Ying Li, Zhengtao Yu

“…Finally, we enhance typical Seq2Seq and Seq2Edit grammatical error correction models with pre-trained language models and design a model ensemble algorithm for integrating the advantages of heterogeneous models and weighted samples. …”
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Nerve‐Inspired Optical Waveguide Stretchable Sensor Fusing Wireless Transmission and AI Enabling Smart Tele‐Healthcare by Tianliang Li, Qian'ao Wang, Zichun Cao, Jianglin Zhu, Nian Wang, Run Li, Wei Meng, Quan Liu, Shifan Yu, Xinqin Liao, Aiguo Song, Yuegang Tan, Zude Zhou

“…A speech recognition and human‐machine interaction system, based on sensor signal acquisition, is constructed, and the convolutional neural network algorithm is integrated for disease assessment. By integrating sensing, wireless transmission, and artificial intelligence (AI), a smart tele‐healthcare system based on HOWS sensors is demonstrated to hold great potential for early warning and rehabilitation monitoring of neurological diseases.…”
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Case Report: Button battery ingestion—an underestimated emergency in children by Karin Konzett, Stefanie Gang, Lukas Poyntner, Eberhard Reithmeier, Susanne Dertinger, Burkhard Simma

“…A multidisciplinary treatment algorithm for this fatal complication should be implemented and trained in pertinent hospitals. …”
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A Logical Hierarchical Hidden Semi-Markov Model for Team Intention Recognition by Shi-guang Yue, Peng Jiao, Ya-bing Zha, Quan-jun Yin

“…A Logical Particle Filter (LPF) algorithm is also designed to infer team intentions modeled by the LHHSMM. …”
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Application and Thinking of Deep Learning in Predicting Lateral Cervical Lymph Node Metastasis of Papillary Thyroid Cancer by Shengli SHAO, Jiheng WANG, Shanting LIU

“…With the establishment and sharing of large datasets, automated annotation, algorithm optimization, and resolution of data security issues, deep learning is expected to accurately predict lateral neck lymph node metastasis in PTC. …”
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A Novel Complex Event Processing Engine for Intelligent Data Analysis in Integrated Information Systems by Dong Wang, Mingquan Zhou, Sajid Ali, Pengbo Zhou, Yusong Liu, Xuesong Wang

“…In this paper, a lightweight intelligent data analysis system with a novel CEP engine named LIDA-E is introduced, which employs the knowledge base with rules and an event processing algorithm for analysis. Event models as well as operators support the rules for event selection and aggregation. …”
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