Optimizing balanced accuracy in medical data threshold models by Benjamin F. Dribus, Jamie Hill, Neil Goldsmith, Daniel Martingano

“…Our solution is expressed as a formula involving the Gaussian error function, which may be easily applied to real-world datasets computationally, as we demonstrate via the accompanying software. …”
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EXTRAMURAL STUDIES: THE MAIN PROBLEM AND ITS SOLUTION by Darya O. Perevezentceva, Nikolai F. Stas

“…Control has a diagnostic, educational, evaluative and pedagogic functions in academic activities, that’s why it is the imperative element of every educational technology. …”
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A Novel Multistep Wavelet Convolutional Transfer Diagnostic Framework for Cross-Machine Bearing Fault Diagnosis by Lujia Zhao, Yuling He, Hai Zheng, Derui Dai

“…Transfer learning has emerged as a potent technique for diagnosing bearing faults in environments with fluctuating operational parameters. …”
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Frequency Enhanced Dynamic Graph Convolutional Networks for Traffic Flow Forecasting by Liyuan Wang, Jiafeng Zhuang, Shuo Ma, Hai Lin

“…Recent advancements in deep learning, particularly Graph Convolutional Networks (GCNs), offer more effective solutions for traffic forecasting. …”
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Data-Adaptive Dynamic Time Warping-Based Multivariate Time Series Fuzzy Clustering by Qinglin Cai, Leiying Chen, Jian Shao, Ling Chen

“…This unsupervised learning method significantly improves the precision of DTW, leading to more accurate and interpretable clustering outcomes. …”
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Research on the Method of Crop Pest and Disease Recognition Based on the Improved YOLOv7-U-Net Combined Network by Wenchao Xiang, Zitao Du, Xinran Liu, Zehui Lu, Yuna Yin

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On the Deployment of Edge AI Models for Surface Electromyography-Based Hand Gesture Recognition by Andres Gomez-Bautista, Diego Mendez, Catalina Alvarado-Rojas, Ivan F. Mondragon, Julian D. Colorado

“…Background: Robotic-based therapy has emerged as a prominent treatment modality for the rehabilitation of hand function impairment resulting from strokes. Aim: In this context, feature engineering becomes particularly important to estimate the intention of upper limb movements by utilizing machine learning models, especially when a hardware embedded-on-board implementation is expected, due to the strong computational, energy, and latency constraints. …”
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Interruption-Aware Computation Offloading in the Industrial Internet of Things by Khoi Anh Bui, Myungsik Yoo

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SGI-YOLOv9: an effective method for crucial components detection in the power distribution network by Mianfang Yang, Bojian Chen, Chenxiang Lin, Wenxu Yao, Yangdi Li

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Automated Detection and Visualization of Local Kidney Images with Artificial Intelligence Models by Hawraa Saleh, Hadeel Kassim Aljobouri‬, Hani M. Amasha

“… Kidney disease is a global health concern, often leading to kidney failure and impaired function. Artificial intelligence and deep learning have been extensively researched, with numerous proposed models and methods to improve kidney disease diagnosis. …”
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Design of image classification system for fabric inspection process using Raspberry Pi by Emmanuel Agung Nugroho, Joga Dharma Setiawan, Munadi Munadi, Diki Diki

“…The prototype of fabric defect inspection system is built by utilizing two rollers that function as a fabric roll house before and after the inspection process. …”
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Architectural design methods based on image recognition technology and virtual VR by Feng Li

“…The experiment demonstrated that when the accuracy of the improved You Only Look Once version 4 (YOLOv4) model was 0.9, the recall rate was 0.98, and the curve area was 0.93. The model loss function curve converged to the minimum value of 0.04, with the fastest convergence speed and the highest model recognition efficiency. …”
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FRESH: Fusion-Based 3D Apple Recognition via Estimating Stem Direction Heading by Geonhwa Son, Seunghyeon Lee, Yukyung Choi

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A Study on Small-Scale Snake Image Classification Based on Improved SimCLR by Lingyan Li, Ruiqing Kang, Wenjie Huang, Wenhui Feng

“…A hierarchical window attention mechanism is introduced into the encoder network to enhance feature extraction. In the loss function, a supervised contrastive mechanism is introduced to exclude false negative samples using label information, which helps reduce representation noise and enhance training stability. …”
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Artificial intelligence technologies for enhancing neurofunctionalities: a comprehensive review with applications in Alzheimer’s disease research by Zhirong Gu, Bin Ge, Yuanyuan Wang, Yiping Gong, Mei Qi

“…This narrative review highlights recent advancements in artificial intelligence (AI), particularly machine learning (ML) and deep learning (DL), which enhance early diagnosis, predict disease progression, and support personalized treatment strategies. …”
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Monocular Object-Level SLAM Enhanced by Joint Semantic Segmentation and Depth Estimation by Ruicheng Gao, Yue Qi

“…The multi-task network, called JSDNet, is designed to predict depth and semantic segmentation simultaneously, with four contributions that include depth discretization, feature fusion, a weight-learned loss function, and semantic consistency optimization. …”
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Photovoltaic panel defect detection algorithm based on infrared imaging and improved YOLOv8 by Jingdong Wang, Zhu Cheng

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Monocular 3D Micro-PIV System Using Computational Imaging by Taiyuange Lou, Chengxiang Guo, Tong Yang, Lei Yang, Hongbo Xie

“…The microscopic objective is designed to satisfy the required parameters, and the point spread function (PSF) responses of the system to different depths of the object surface are obtained. …”
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A Multisource Image Matching Method Based on Contrastive Network With Similarity Weighting by Zhen Han, Ning Lv, Tao Su, Yoong Choon Chang, Chen Chen

“…In addition, a similarity-weighted loss function is designed to guide the training process, aiming to improve the discrimination ability of the network. …”
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Small Object Detection Algorithm Based on Partial Convolution and Attention Fusion Detection Head by Peng Sheng, Zhu Fenghua, Zhou Jin, Zhu Gaofeng, Wang Yingxu, Chen Yuehui

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