A human-machine collaborative approach for high-resolution monitoring of suspended sediment dynamics in data-scarce and optically complex waters by Hai Sun, Yanan Chu, Bingchen Liang, Huiqian Wang, Chao Fan

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A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…Subsequently, a high-dimensional feature set was developed using multi-source data, employing classifiers like random forest (RF), support vector machine (SVM), and Extreme Gradient Boosting (XGBoost) to classify forests/non-forests and five forest types, with subsequent accuracy assessment. …”
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Transformer-based InspecNet for improved UAV surveillance of electrical infrastructure by Jiangtao Guo, Shu Cao, Tao Wang, Kai Wang, Jingfeng Xiao, Xinxin Meng

“…Through extensive data augmentation, we have created a new and diverse sample set to train our model and improve its detection capabilities. …”
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Decision tree for severity assessment of neurodegenerative diseases using possibility approach and gait dynamics by Preeti Khera, Ashok Kumar, Rajat Kapila

“…However, these features are agonized by individual’s physical dimensions causing data dispersion. This study proposes normalized feature set, and a decision tree (DT) based model to evaluate NDD severity. …”
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Clinical and Economic Evaluation of a Real-Time Chest X-Ray Computer-Aided Detection System for Misplaced Endotracheal and Nasogastric Tubes and Pneumothorax in Emergency and Criti... by Chu-Lin Tsai, Teresa Cheng-Chieh Chu, Chih-Hung Wang, Wei-Tien Chang, Min-Shan Tsai, Shih-Chi Ku, Yen-Hung Lin, Hao-Chih Tai, Shuenn-Wen Kuo, Kuo-Chuan Wang, Anne Chao, Sung-Chun Tang, Wei-Lun Liu, Ming-Han Tsai, Ting-Ann Wang, Shu-Lin Chuang, Yi-Chia Lee, Lu-Cheng Kuo, Chiuan-Jung Chen, Jia-Horng Kao, Weichung Wang, Chien-Hua Huang

“…This study will use 3 submodules of the system: detection of misplaced endotracheal tubes, detection of misplaced nasogastric tubes, and identification of pneumothorax. …”
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View adaptive multi-object tracking method based on depth relationship cues by Haoran Sun, Yang Li, Guanci Yang, Zhidong Su, Kexin Luo

“…Secondly, by adjusting the interval partitioning strategy to adapt to the changes in view characteristics, a view adaptive partitioning method for tracklet sets and detection sets (VAPM) is proposed to achieve sparse decomposition in occluded scenes. …”
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Development of a Clinically Applicable Deep Learning System Based on Sparse Training Data to Accurately Detect Acute Intracranial Hemorrhage from Non-enhanced Head Computed Tomogra... by Huan-Chih WANG, Shao-Chung WANG, Furen XIAO, Ue-Cheung HO, Chiao-Hua LEE, Jiun-Lin YAN, Ya-Fang CHEN, Li-Wei KO

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Structural Damage Identification Based on Rough Sets and Artificial Neural Network by Chengyin Liu, Xiang Wu, Ning Wu, Chunyu Liu

“…This paper investigates potential applications of the rough sets (RS) theory and artificial neural network (ANN) method on structural damage detection. …”
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Enhanced Neutrosophic Set and Machine Learning Approach for Breast Cancer Prediction by Ashika T, Hannah Grace, Nivetha Martin, Florentin Smarandache

“…In order to lower death rates and enhance treatment results, early detection is critical. Neutrosophic Set Theory (NST) and machine learning (ML) approaches are integrated in this study to provide a novel hybrid methodology (NS-ML) that improves breast cancer diagnosis. …”
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APPLYING TRANSFORMER ARCHITECTURE TO ENHANCE ATTACK DETECTION PERFORMANCE IN INTRUSION DETECTION SYSTEMS by Vu Thi Phuong*, Hoang Thi Hong Ha, Dinh Gia Truong, Tran Thi Yen

“…The UNSW-NB15 dataset is utilized for model training and evaluation. The data preprocessing pipeline includes handling missing values, encoding categorical features, normalizing numerical features, and splitting stratified training and testing sets. …”
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A PPG Signal Dataset Collected in Semi-Naturalistic Settings Using Galaxy Watch by Sangjun Park, Dejiang Zheng, Uichin Lee

“…To address this gap, this study presents GalaxyPPG, a dataset collected from 24 participants that includes wrist-worn PPG signals from a Galaxy Watch 5 and an Empatica E4, alongside chest-worn ECG data from a Polar H10. Data were captured during diverse activities in a semi-naturalistic setting, providing insights into the sensing performance of consumer-grade wearables under motion- or stress-inducing activities. …”
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A Shield Segment Bolt Detection and Localization Method Based on Ellipse Detection by Jie Liu, Shuaishuai Liu, Zhendong He, Yanqiu Xiao, Guangzhen Cui, Pengpeng Wang

“…However, during the automatic segment gripping process, traditional methods of setting targets introduce manual errors and complicate operations. …”
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A machine learning-based screening model for the early detection of prostate cancer developed using serum microRNA data from a mixed cohort of 8,741 participants by Cong Lai, Zhensheng Hu, Zhuohang Li, Zhikai Wu, Kuiqing Li, Lin Li, Hongze Liu, Juanyi Shi, Yi Zhou, Kewei Xu, Cheng Liu

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Adaptive Reference Image Set Selection in Automated X-Ray Inspection by Xinhua Xiao, Andrew Ferro, Tao Ma, Chia Y. Han, Xuefu Zhou, William Wee

“…These methods select, as benchmark for comparison, image data from good parts to detect the anomalies of parts under inspection. …”
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Detecting Anomalies in Hydraulically Adjusted Servomotors Based on a Multi-Scale One-Dimensional Residual Neural Network and GA-SVDD by Xukang Yang, Anqi Jiang, Wanlu Jiang, Yonghui Zhao, Enyu Tang, Zhiqian Qi

“…Then, this model was used as a feature extractor to create a feature set of normal data. Finally, an abnormal detection model for the hydraulically adjusted servomotor was constructed by optimizing the support vector data domain based on this feature set using a genetic algorithm. …”
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MLPAnalyzer: Data Analysis Tool for Reliable Automated Normalization of MLPA Fragment Data by Jordy Coffa, Mark A. van de Wiel, Begoña Diosdado, Beatriz Carvalho, Jan Schouten, Gerrit A. Meijer

“…We therefore set out to develop an MLPA data analysis strategy and tool that is simple to use, while still taking into account the above-mentioned sources of variation.…”
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Enhancing retinal disease diagnosis through AI: Evaluating performance, ethical considerations, and clinical implementation by Maryam Fatima, Praveen Pachauri, Wasim Akram, Mohd Parvez, Shadab Ahmad, Zeinebou Yahya

“…Data sources assessed included various electronic databases searched up to July 31, 2023. …”
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A Lightweight Two-Step Detection Method for Real-Time Small UAV Detection by Sungkyu Jung, Jaeyeon Jang, Chang Ouk Kim

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A Few-Shot Steel Surface Defect Generation Method Based on Diffusion Models by Hongjie Li, Yang Liu, Chuni Liu, Hongxuan Pang, Ke Xu

“…These results demonstrate the effectiveness of the proposed method for industrial defect detection in data-scarce scenarios.…”
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An Artificial Intelligence Solution for Automated Dental Inspection and Charting by M.A. Moufti, M. Abu Talib, S. Al Mokdad, A. Alhouria, M. Alsaffarini, N. Almahmeed, S. Eldessouky, W. Kharoufah, Q. Nasir

“…Attempts to automate charting using AI have focused on computer vision of radiographs, which does not replace visual inspection and has limitations in community screening settings. We aim to develop a deep-learning-based real-time charting using intra-oral videos. …”
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