BOLT LOOSENING ANGLE DETECTION METHOD BASED ON COLOR SEGMENTATION by KANG Jingjie, ZHANG Lijun, SUN Yuandong, YANG Xiaoyu, WANG Ruolan, ZHAO Tianhao

“…Then, the orientation vector of the connected domain in the anti-loose line image was determined by computing the geometric moments. …”
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Implementing Holographic Reduced Representations for Spiking Neural Networks by Vidura Sumanasena, Daswin de Silva, Evgeny Osipov, Dmitri A. Rachkovskij, Ross W. Gayler

“…Drawing on the distributed vector representation of symbolic and numerical data structures and robust dual interface with diverse operational primitives, Vector Symbolic Architectures (VSA) have been positioned as a suitable candidate to address this middle-layer void. …”
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An association rule-based approach for frequent item mining of multi-stage access data by Silong Wu

“…Abstract The processing of large-scale datasets is complex and requires high efficiency. …”
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Optimized SVR model for predicting dissolved oxygen levels using wavelet denoising and variable reduction: Taking the Minjiang River estuary as an example by Peng Zhang, Xinyang Liu, Huiru Zhang, Chengchun Shi, Gangfu Song, Lei Tang, Ruihua Li

“…The integrated WD-MIC data processing method shows promising potential in reducing model errors and lowering water monitoring costs by focusing on highly correlated variables.…”
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Hardware Implementation for Triaxial Contact-Force Estimation from Stress Tactile Sensor Arrays: An Efficient Design Approach by María-Luisa Pinto-Salamanca, Wilson-Javier Pérez-Holguín, José A. Hidalgo-López

“…This paper presents a contribution to the state of the art in the design of tactile sensing algorithms that take advantage of the characteristics of generalized sparse matrix-vector multiplication to reduce the area, power consumption, and data storage required for real-time hardware implementation. …”
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Integrating machine learning and sentiment analysis in movie recommendation systems by Amany M. Sarhan, Hager Ayman, Mariam Wagdi, Bassant Ali, Aliaa Adel, Rahf Osama

“…Sentiment-based movie recommendation system research employs techniques such as natural language processing and hybrid models with the goal of increasing user satisfaction. …”
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Machine Learning Approach to Model Soil Resistivity Using Field Instrumentation Data by Md Jobair Bin Alam, Ashish Gunda, Asif Ahmed

“…Sub-surface soil hydrological characterization is one of the challenging tasks for engineers and soil scientists, especially the complex hydrological processes that combine key variables such as soil moisture, matric suction, and soil temperature. …”
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Embedded Hardware-Efficient FPGA Architecture for SVM Learning and Inference by B. B. Shabarinath, Muralidhar Pullakandam

“…Edge computing allows to do AI processing on devices with limited resources, but the challenge remains high computational costs followed by the energy limitations of such devices making on-device machine learning inefficient, especially for Support Vector Machine (SVM) classifiers. …”
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Impact of a typical scanner delay processing parameter on local microstructure in metallic laser-based powder bed fusion by Brenda Leticia Valadez Mesta, Pascal Thome, Marcus C. Lam, Sammy Tin, Jorge Mireles, Ryan B. Wicker

“…Future PBF-LB/M studies should focus more on understanding time-resolved laser beam processing effects to better reduce inconsistencies and improve part quality.…”
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Classical Gasses with Singular Densities by Luca Di Persio, Yuri Kondratiev, Viktorya Vardanyan

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Personality and emotion—A comprehensive analysis using contextual text embeddings by Md. Ali Akber, Tahira Ferdousi, Rasel Ahmed, Risha Asfara, Raqeebir Rab, Umme Zakia

“…With an overall accuracy of 85.23%, the Support Vector Machine (SVM) is chosen as the most effective and high-performing model for emotion prediction tasks. …”
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Characterization, identification and life prediction of acoustic emission signals of tensile damage for HSR gearbox housing material by Ai Yibo, Zhang Yuanyuan, Cui Hao, Zhang Weidong

“…Afterward, the support vector machine (SVM) classifier is introduced to identify and classify the characteristic parameters extracted, on which basis the SVM is improved and the weighted support vector machine (WSVM) method is applied to effectively reduce the misidentification of the SVM classifier. …”
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Epidemiological Community and Differences of Transmissive Infections in Astrakhan Region by S. V. Ugleva, V. G. Akimkin, Z. B. Ponezheva, R. R. Akhmerova, A. E. Spirenkova, Y. Y. Chernikova, S. V. Shabalina

“…There are no differences significantly affecting the epidemic process of CCHF and ASF, so preventive measures are mainly aimed at controlling the vectors of the pathogens of these infections. …”
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Auxiliary Converter with Voltage Closed-loop Control by TANG Zihui, JIANG Xuejun, WEI Gang

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Optimal Multi-Physics Synthesis of a Dual-Frequency Power Inductor Using Deep Neural Networks and Gaussian Process Regression by Paolo Di Barba, Arash Ghafoorinejad, Maria Evelina Mognaschi, Fabrizio Dughiero, Michele Forzan, Elisabetta Sieni

“…., to compute the temperature profile on the disk, given the amplitudes and frequencies of the supply currents, three methods have been used (Support Vector Regression (SVR), fully connected Neural Network (NN) and Gaussian Process Regression (GPR)). …”
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Robust algorithm for electric fault diagnosis in the three phase induction machine based on spectral and wavelet tools. by Francisco Javier Villalobos Piña, Ricardo Álvarez Salas

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Transformer-based multi-task learning for table tennis motion feature recognition by Tianfang Ma

“…In the process of multi-task sports motion behavior feature recognition, it is prone to be affected by few-shot samples, resulting in catastrophic forgetting phenomena, which leads to poor processing ability of variability. …”
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A novel personal identification system using doorknob lead electrocardiograms for unconscious authentication in unlocking doors by Keisuke Kawamura, Masaki Kyoso

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Disease candidate genes prediction using positive labeled and unlabeled instances by Sepideh Molaei, Saeed Jalili

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Artificial Intelligence and/or Machine Learning Algorithms in Microalgae Bioprocesses by Esra Imamoglu

“…This review examines the increasing application of artificial intelligence (AI) and/or machine learning (ML) in microalgae processes, focusing on their ability to improve production efficiency, yield, and process control. …”
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